Used 3D printers with associated software.
\r\n\tWe hope to present dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale Information Systems and their applications. We also hope to address advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. The goal is to provide a comprehensive, practical look at the concepts and techniques needed to get the most out of data.
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Ironically, the awareness of the dangers of climate change has attributed a rectificatory mission to technology, whereby technology itself emerges as a potential option to combat climate change. The technology under reference here is geoengineering, also called climate engineering. This technology is still at its conceptual levels. However, if developed and deployed, geoengineering will carry unprecedented levels of planetary outreach as it is to be deployed in the open and non-encapsulated system of the earth. Serious recourse to geoengineering as a possible response to climate change began with the paper by Paul Crutzen [1] in
Given the overarching impact and global outreach of geoengineering, both schemes of geoengineering have generated a lot controversy. Since the publication of Crutzen’s paper in 2006, there is a hot debate over the ethical desirability of geoengineering. This paper intends to appropriate the ethics of geoengineering from the perspective of justice. A landscape view of the debate setting reveals that as a form of technology that is still at the conceptual level, a general strand that is running through various streams of the arguments for and against geoengineering is the primacy of the issue of justice. A review of literature on the ethics of geoengineering in 2020 showed that quantitatively justice has surfaced on the forefront to be the most challenging ethical issue in Geoengineering with the highest number of sources on this subset of the ethics in geoengineering. From a random overview of the literature on the ethics of geoengineering, it becomes clear that the issues of justice are central or foundational to most of the ethical issues associated with geoengineering. Justice enjoys a vantage point from which to partly refute or substantiate and to prioritise some of the leading arguments for and against geoengineering.
As the issue of justice, particularly in the context of climate change, is very complex and wide, for want of clarity and precision, this paper dwells on only three dominant subsets of justice, namely, distributive justice, intergenerational justice and procedural justice. These three aspects of justice are chosen because they are found to be most challenging and intriguing in the context of both schemes of geoengineering, particularly of solar radiation management. The challenges to distributive justice is directly pertaining to SRM as it is a long term deployment across the globe and particularly given its unforeseen effects. Yet another issue of justice challenged by geoengineering is its impact upon the future generations as the deployment of SRM is a long term and perhaps an irrevocable deployment. Thus the issue of intergenerational justice becomes a spontaneous actor to be reckoned on the geoengineering scene. Perhaps, the most overarching concern over justice in geoengineering pertains to procedural justice. As for viable normative judgements on justice over an untested and pioneering technology like geoengineering, procedural concerns are of vital importance. Accordingly, the research question in this paper may be drafted as,
Distributive justice, in general terms, deals with the distribution of goods in society and the norms on how harms and benefits ought to be shared among persons. It needs to be evaluated if geoengineering increases benefits for some and harms for others. Proponents of climate justice have called for serious attention to the possible scenario of unjust distribution of cost and harms on the one hand and benefits on the other. The almost unanimous opinion is that there is a serious chance of the prevalent socio-economic inequalities in societies and nations be worsened by the consequences of climate engineering. The asymmetry between harm and benefit and the issues pertaining to compensation are the leading elements of distributive justice in geoengineering.
Many a literature on the ethics of geoengineering find that there will be unfair and unjust scenario as regards the distribution of cost and benefits. As such distributive justice is a major challenge in SRM [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]. In the scenario emerging from geoengineering, according to Preston [10], p. 30, “… the interests of the most powerful would be protected, while those less powerful will get secondary consideration (if they are considered at all).” Similarly, Aaron Ray [17] and Schneider [18] believe that the asymmetrical impact of geoengineering is causing serious challenges to distributive justice. Bunzl [19] predicts that 10% of the World’s population is set to go worse by geoengineering. Ray [17] observes that there will be no correlation between those who bear the cost of geoengineering and those who would reap the benefit of geoengineering. As for Jamieson [20], p. 329, geoengineering is likely to worsen the plight of the poor people: “People in poor countries. .. have. .. (not) reaped much benefit from the activities that may be resulting in climate change.” There is sufficient ground to reasonably share the apprehension of Preston that “The many injustices of climate change foisted on the global poor could be unintentionally compounded by geoengineering” ([10], p. 28).
The critics of SRM from the perspective of justice based their arguments on reliable analysis of scientific models and philosophical frameworks. Some of the philosophical frameworks coined in this context are the egalitarian theories of distributive justice advocated by Ronald Dworkin [21], John Rawls [22], Amartya Sen [23], and Wigley [24]. An analysis of the possible scenario emerging geoengineering using these theoretical models consistently show that there will be huge inequalities with regard to distribution of harms and benefits. Sulphate Aerosol Injection (SAG) will invoke uneven economic and social results [9, 10, 11]. Svoboda et al. [11] conclude their study with the observation that despite the significant differences in the various models coined, it is found that “SAG is ethically problematic on all... the major theories of distributive justice….” ([11], p. 178). An assessment of the consequences of SAG imply that it does not meet the requirements of distributive justice, for there will be uneven distribution of harms and benefits upon those who will be impacted by SAG.
The same finding has been confirmed by the analysis of the simulations modelled by Morrow et al. [9]. They find a tragic irony herein that even in the present generation, those who bear the risk of SRM will not receive the merits from SRM. Yet another challenge to distributive justice comes from the involvement of the private parties as major stakeholders in the debate. The profit-driven technological developments will have little appreciation for the just distribution of the harms and benefits. This will skew the benefits of geoengineering away from those who would be most in need of it.
The study by Carr and Preston [25] showed that concerns of distributive justice in geoengineering are intuitively inbuilt among the popular folk. The public opinion on the approval or disapproval of SRM is largely determined by the relative merit or harm to a particular population. The public is also of the opinion that the harms from geoengineering is not comparable with the harmful effects of the climate change, for while the latter is unintentional, the former is a planned programme that calls for aggressive commitment to justice ([25], p. 180).
A significant factor that prevents precise assessments of the challenges to justice is related to the prevalent uncertainty in the geoengineering field. Lack of definitive scientific data poses problems to defining the conditions for distributive justice. The present earth system models are inadequate in giving adequate information on important geophysical factors in geoengineering. The precise estimation of regional impacts and the duration of deployment are still matters of uncertainty in deciding on distributive justice in geoengineering. Hence some authors [14, 17, 20] suggest launching specific research agenda for a comprehensive analysis of the political, social, physical and economic and impacts of SRM. Bunzl [19], puts it all in its real gravity: “[it] may seem obvious that at best then, the benefits of geoengineering will be unequal and at worst, some will benefit while some will be harmed.”
Compensating the harms as a condition for ensuring justice is often proposed in geoengineering discussions [4, 7, 13, 15, 26, 27, 28, 29, 30, 31, 32, 33, 34]. Preston [10] underscores the provision for compensation to the most affected in the likely scenario of the poor becoming poorer in the aftermath of geoengineering deployment. Even in that regard, the challenges to justice are not adequately addressed. Study shows that SAG coupled with compensation would not be justified, as such a deal would significantly shoot up the cost of SAG [11].
The proposal of compensating for harm is not that smooth a solution as it appears to be. It invites a series of questions. What is the baseline to decide on the definition of harm and compensation? Howe to adjust compensation to the parties who have caused the harms? What will be the moral responsibility of individual nations to various consequences? How to identify the losers and gainers in the absence of clear baselines and standards? [28]. The very case of Canada and Uganda may be taken as an example of the complexities highlighted here. If there is reduction in global temperature due to SRM, Canada’s agricultural yield will decline significantly and conversely Uganda’s reduction in agricultural production will be due to the decline in precipitation. It can be seen that both these reductions are of different moral standing calling for different standards for calculating compensation. This motivates Bunzl [28] to propose differentiated moral assessment of the harms caused by SRM. He concludes, “[…] it is unfair for some to be worse off than others through no fault of their own among equally deserving people, it follows that it is also unfair for some to be better off than others though no more deserving. But in that case, those who are better off under such circumstances can have no complaint if they lose their better-off status” ([28], p. 73).
Similarly, there are also dormant paradoxes in the seemingly sound ethical assumption of compensation [35]. That there is a possibility for compensating harm cannot be considered as a licence or justification to inflict harm. The general ethical practice of penalising the parties who caused the harm to pay the compensation will make any sense if only the benefits of geoengineering is greater than the costs it incurs. As of now, there is no conclusive evidence to suggest that the benefits will outweigh the harm. Accordingly, the issue of compensation carries an inherent contradiction. Thus there is no justification for the “infliction of all manner of costs onto some purely for the benefit of others,... without any discussion of matters such as rights, justice and responsibility” ([35], p. 7).
Marion Hourdequin [36] thinks that there is every chance of climate injustice being exacerbated if the governance, research and deployment are confined to a very few powerful hands. Monopoly of research and deployment is least compatible with justice. She thinks that only the ideals of solidarity and relationship at the societal and technological levels can ensure justice in this context. Hourdequin [37], shares an optimism that a collective response can ensure distributive justice in the context of technological intervention. Hourdequin [36, 38, 39] has highlighted several major nuances of the issues of justice in geoengineering. McLaren is of the opinion that present risk managerial approach to justice is insufficient in the geoengineering context and we need a “relational, care-based imaginary of the future” ([40], p. 2).
Recently, concerns have also been raised over the dangerous impact of SRM on cultivation, and food production. The consequences of SRM for food justice is to be significantly correlated with the issues of distributive justice in geoengineering [41]. Due to complex relationality between geoengineering and food production, it is normatively obligatory to ensure sufficient and sustainable production of nutritional food before advancing with geoengineering [42].
Concerns about distributive justice in SRM are raised also from the viewpoints of virtue ethics and care ethics. From the perspectives of virtue and care ethics, the assessment is that the principle of fairness will not be respected in the SRM scenario [43, 44].
It appears that from the justice point of view, even researching geoengineering could be like opening a Pandora’s Box. It is unequivocally agreed by the parties in the debate that greater research is essential for addressing the issue of distributive justice. With the present range of research that are confined mostly to computer simulation, there can be no definitive judgement on the challenges to distributive justice in geoengineering. Unsurprisingly, the dominant approach in the literature on justice in geoengineering is to see geoengineering as a serious challenge to distributive justice from whichever form of geoengineering, mostly stratospheric aerosol injection. This is not to overlook the nominal voices that argue that geoengineering would present itself as providing positive opportunities for global distributive justice and equity [45, 46].
It could be noted that there are no adequate context-specific studies on the impact of geoengineering on justice. Unfortunately, the debate on distributive justice is extremely polarised towards the analysis of SRM technologies with less attention paid to the distribution of the harms or benefits of CDR approaches. Though the issue of climate justice in relation to anthropogenic climate change is extensively researched (E.g., [47]), most of those researches fall short of addressing the challenges to justice from geoengineering.
Geological history shows that there is a global impact for any local climatic intervention. The temporal impact of such interventions cannot also be confined to a particular period. This fact is of particular importance in geoengineering as it is self-evident that the impact of the climatic interventions by this generation will not be confined to this generation. The future generations are naturally brought into the debate on the ethics of geoengineering. This is how intergenerational justice is of decisive value in the geoengineering debate. While distributive justice is challenged by the spatial factors resulting from geoengineering, intergenerational justice is challenged by the temporal imbalances.
The proprieties of distributing harms and benefits between the present and future generations is the focus of intergenerational justice. It assumes that natural resources are not to be entitled unlimitedly to any particular generation. As custodians of natural resources, each generation has to fulfil its obligations to the future generations. It involves the safe custody and preservation of the natural resources for the sustenance of the future generations. This is the reason why intergenerational justice forms a major component in any theory of ethics. It is a happy state of affairs that due importance is given to this principle in international treaties and conventions. There can be no fair treatment of justice in geoengineering without adequately appropriating the challenges to intergenerational justice.
As we discuss below, the contested issues of intergenerational justice in geoengineering revolve around the concerns over the problem of sudden termination of SAG, questions concerning the agencies of pollution, the challenge of moral hazard caused by the technical interventions, the danger of treating the symptom over the cause, and the present generation transferring the risk to future generations.
The paradoxical issue in intergenerational justice in geoengineering is that future generations are forced to bear the brunt the harms caused by the unnatural ways followed by the current generation. The policies and practices of the present generation concerning development and the consumption of natural resources are largely instrumental in creating a situation of having to geoengineer. However, the effects of geoengineering by this generation will be transferred to the future generations [27, 28, 35, 48, 49, 50, 51, 52, 53, 54, 55, 56]. This implies that this generation will reap the benefits by transferring the risks and harms to the future generations. This is often termed as the risk-transfer argument [54] or responsibility abdication objection [57]. A fair practice in this regard would be the polluter-pays principle. This principle, formulated by Betz and Casean [27] assumes that those who caused the dangerous climate changes should also pay for it. Abdicating our responsibility for the dangerous climate change imply that the present generation lets itself off from its offences.
One of the major arguments against geoengineering is the challenge of moral hazard – the fear that geoengineering may water down the efforts at mitigation. Royal society coins the phrase “get out of jail free” ([58], p. 276) to mean the same. The ramifications of moral hazard are extensively discussed in the geoengineering debate. Moral hazard is often coined in the insurance context meaning that the security offered by the insurance coverage may trigger the confidence of the insured to venture into riskier activities. Similarly, the true or false hope in the technical solution by geoengineering may alleviate the efforts at mitigation. The assumption that there is a solution to an imminent problem will defer the aggressive measures that may otherwise be warranted in such a scenario. The luxurious life-style of the present generation is largely responsible for the ecological havocs and conservative solutions like change of life-style is called for to fix it. Now, as championed by certain proponents, if geoengineering is economically so feasible, the psychological impetus for a conservative solution naturally withers away. Such a lose commitment to mitigation by this generation means a heavy penalty upon the future generation for something which they are least responsible for.
The possible postulation of a hope of solution leads to avoiding the moral obligations towards climate change by the present generation. As for Gardiner [51] geoengineering is an evasive loophole found by the present generation to skip its moral obligations. As for the present generation, the problem of climate change is less apparent and imposing owing to factors like geographical dispersion of the various and diverse agents and effects of climate change and the pertinent scientific uncertainties about it. These are justificatory weapons of the present generation against its moral obligations. Gardiner [51], p. 408, thinks that climate change is such a problem that “provides each generation with the cover under which it can seem to be taking the problem seriously … when really it is simply exploiting its temporal position.” The vices of the present generation include moral corruption – subversion of the moral discourse to one’s own favour – and passing the buck to the future generations. Researching and pursuing geoengineering is an acknowledgement that the present generation has “failed to take on the challenge facing us, and instead have succumbed to moral corruption. Indeed, the decision to geo-engineer might reveal just how far we are prepared to go to avoid confronting climate change directly, and this may constitute a tarnishing, even blighting, evil” ([51], p. 408).
Termination problem is the possible danger of global temperature bouncing back rapidly if SAG is suddenly terminated. Scientific estimations suggest that if SAG is terminated, there is the possibility of global temperature shooting up faster than the pre-geoengineering phase. This scenario imposes serious restrictions on the choices of the future generation to combat climate change. Most ethicists consider the problem of sudden termination to be the most challenging issue from the point of view of intergenerational justice.
If SRM is discontinued for unforeseen reasons, the worst case scenario is that it could result in the extinction of several species including humans. Svoboda et al. [11] used the theoretical model of Dworkin [21], Rawls [22], Sen [23], and Wigley [24], to assess the issue of intergenerational justice in the likely scenario of sudden termination. They found that in all these models there is a serious violation of intergenerational justice. According to Svoboda et al., “... intergenerational justice requires the present generation to ensure that future generations have access to food, water, shelter, and education.... any generation that implements SAG …accepts the risk that it might later be discontinued, but the subjects of this risk are the future generations who would suffer the harmful effects if SAG should be discontinued abruptly” (2011, p. 173).
Apart from sudden termination, the long-term deployment of SRM also add to miseries of the future generations. There are scientific estimations predicting that a continuous deployment of around 500 to 1000 years may be required to contain the global warming. It means that the values and priorities of the future generations will be significantly conditioned by the existential challenge of SRM [11].
There are serious methodological limitations in estimating the issues of intergenerational justice in geoengineering. For instance, in the given scientific scenario, it is not clear how many future generations will be impacted by geoengineering and it is impossible to determine whether a future climatic impact is due to geoengineering or due to natural reasons. The identity and population of the future generations are also unknown. Accordingly, scientific uncertainties with regard to geoengineering poses serious hazards in assessing the full scale and length of the concerns with intergenerational justice in geoengineering.
At this juncture it could also be asked if there are any positive factors in SRM towards facilitating intergenerational justice. After all there are voices claiming that SRM would promote equity as it is capable of avoiding the tragedy of the commons by doing away with the various forms of injustice caused by anthropogenic climate changes. It is also argued that the present generation empowers the future generation to contain the dangers of climate change by SRM [45, 46]. There are arguments that SRM would shield the future generations from otherwise future catastrophe. This is termed as the buying-time argument implying that SRM allows sufficient time for this generation and future generations to combat climate change. Thus proper governance mechanism would ensure intergenerational justice.
This observation, thought seemingly positive, is loaded with major practical challenges. The study by Burns [48] and Svoboda et al. [11] show that even in such scenarios SRM will be incompatible with intergenerational justice. Given the nature of the present international treaties on climate and environment, no law or convention is capable of absorbing the possible complexities posed by SRM ensuring a consensus on the deployment of SRM in a manner compatible with intergenerational justice. Treaties such as UNFCCC (United Nations Framework Convention on Climate Change), ENMOD (United Nations Convention on the Prohibition of Military or Any Other Hostile Use of Environmental Modification Techniques
As the critique so far had been around the challenges of SRM to intergenerational justice, one might be inclined to consider CDR to be compatible with intergenerational justice. It is clear that CDR does not invoke concrete problems like sudden termination. At the same time CDR is not freed from the possible moral hazard that it may cause. The moral hazard issue of alleviating the aggressive commitment to mitigation is equally present in CDR projects too. Besides, the required sustained deployment of CDR techniques “would deny them (future generations) the full panoply of options that the principle of intergenerational equity demands” ([48], p. 218). It may be granted positively that on a comparative scale, CDR schemes are not as challenging as the SRM schemes in regard to intergenerational justice. It should be noted alongside, that despite the reduced challenges to justice from CDR, the almost exclusive focus in the debate is on the SRM techniques with very little research being done along the CDR line. A full-blown commitment to the issues of intergenerational justice would require that this strategy needs serious rectification. Burns’ [48] formulation that SRM “sows the seeds of a major peril for future generations” ([48], p. 209) may sum up the gist of the discussion on intergenerational justice in the context of geoengineering.
Perhaps what is most rewarding at this stage of the debate on justice in geoengineering is the discussion on procedural justice. It is to the merit of the ethicists that the challenges of procedural justice have been brought to the forefront at the deliberative level itself. As it stands, the discussion on the choice of technologies can be significantly influenced by the concerns with justice.
An untested technology in search of its ethical normativity, but confronted with looming uncertainties about side-effects, will warrant a clear articulation on the procedures towards policy decisions on the choice of technologies, governance mechanism, field tests, etc. Accordingly, the leading issues pertaining to procedural justice coined today are participation and consent, moratorium on field tests, evaluation of the results of technology, security threats stemming from the deployment of technology, etc.
The principle of informed consent emphasized by ethicists for the safety of the research subjects is a universal norm in research ethics. It ensures that the subject who voluntarily partake in a research is adequately informed about the risks involved in such a participation and the subject’s consent is obtained only after imparting sufficient information. The issue of consent presents itself as the leading contender challenging procedural justice in geoengineering [4, 5, 10, 50, 56, 59]. Preston [10] has rightly identified informed consent to be a formidable challenge in geoengineering at the level of research and deployment. “If the problems of participation and consent first arise in the context of research, there is no doubt whatsoever that their reappearance in the context of implementation is one of the biggest ethical challenges geoengineering faces. As an engineering project promising global impacts, some form of consent—at least from the representatives of those affected—would appear to be a non-negotiable requirement of just procedure” ([10], p. 29).
While informed consent is essentially significant for geoengineering researches, obtaining such a consent is extremely problematic given the complexities involved in geoengineering. The conventional models of informed consent are no longer useful in the geoengineering context. The principle of informed consent meets challenges such as identifying the victims of the research and deployment, the huge number of population who will be affected by the technology, the difficulties of representative consent, etc. The conventional practice of obtaining representative consent look impractical in a technology with global impact.
The solution proposed by Morrow et al. [9], upholding the principle of respect as a motivation towards ensuring consent for geoengineering, does uphold the values of procedural justice. Morrow et al. [9] suggest that “[…] the scientific community secure the global public’s consent, voiced through their governmental representatives, before beginning any empirical research [on geoengineering]” ([9], p. 1). This norm does prevent the public from having to accept a policy to which they have given no consent.
Another problematic that is anticipated in regard to procedural justice is the issue of a single nation most hit by the dangers of climate change unilaterally deciding to deploy geoengineering in a desperate situation. Even in this regard, procedural challenges cannot be ignored as the impact of the deployed technology is not limited to the nation under consideration. Informed consent cannot be assumed even in a such a desperate scenario [60].
The scope for the unilateral deployment is a central challenge to procedural justice in SAG [27, 45, 61, 62, 63, 64, 65]. The leading approach among ethicists is to caution against unilateral deployment.
Assessing procedural justice in geoengineering against the theoretical frame of Rawls does not give nod to research and development. From the Rawlsian point of view of procedural justice, in the present state of affairs with geoengineering, there is no deliberation let alone agreement among all stakeholders and those who would be affected by it. Such a consensus is central to the Rawlsian procedural justice. As such the projected fear about unilateral deployment of SAG should not occur in the Rawlsian context. Analysis by Svoboda et al. [11] showed that these conditions cannot be met in unilateral deployment, particularly as there is no governance mechanism for appeal against SAG.
Denouncing unilateral deployment does not imply that SAG itself is procedurally unjust. Svoboda et al. [11] has opened another unique stream of thought along procedural justice arguing that the unilateral SAG does not make geoengineering in itself procedurally unjust.
The proponents have recently introduced the notion of non-ideal theory of justice into the geoengineering debate. As the world and its structures are never ideal as it ought to be, it is important to have a realistic approach to geoengineering. It requires considering what matters for justice in circumstances where there is only partial compliance. Accordingly, a non-ideal approach should be taken towards SRM for SRM is a typical instance of the on-ideal theory of justice [4, 13, 66].
Procedural issues in geoengineering should be driven by non-ideal considerations as well. Conversely, recourse to clinical theory, a subset of non-ideal theory, which holds that “politically feasible institutions or policies that would address existing… injustice without violating certain kinds of moral permissibility constraints” ([66], p. 85) is also made in the discussions on procedural justice in the current context.
Yet another recommendation made towards developing geoengineering researches procedurally just is to treat geoengineering as a public good. The Oxford geoengineering group has proposed the idea of considering geoengineering as a global public good [67, 68]. Treating geoengineering as a public good would imply public participation in decision making process, ensuring transparency and disclosure of research methods, independent assessment of the impacts and developing proper governance mechanisms before deployment. A modified version of the Oxford principles was also endorsed by the Asilomar geoengineering conference in March 2010. Preston [10] observes that “Oxford principles are notable for stipulating that geoengineering should not be driven by profit-raising questions…” ([10], p. 28). Despite the popularity of the Oxford principles among geoengineering ethicists, it has not gone without critical scrutiny. Gardiner has expressed strong reservations against treating geoengineering as a public good as that alone would not suffice for geoengineering to be procedurally just [60]. According to Gardiner, Oxford principles fail to meet the conditions of non-excludability and fairness. Alternately, he proposed the tollgate principle with greater emphasis on fairness, legitimacy and respect [5].
Despite its vital importance, empirical studies showed that justice concerns still remain an under-recognised factor in the response of the public towards geoengineering [69, 70]. Some models of public engagement include upstream public engagement [71], and supermajority rule [72]. The importance of involving the public in decision making process was emphasised by the Royal Society [58] too.
Principles of beneficence and minimization [9] are also coined as normative principles in the geoengineering debate to make research and development of geoengineering procedurally just. Principle of beneficence coupled with justice warrants that there should be a “favourable risk–benefit ratio and a fair distribution of risks and anticipated benefits […].” As the long time span of geoengineering does not permit achieving a favourable risk–benefit ratio, they also advocate the minimisation principle. As the term itself suggests, this principle suggests keeping the extent and intensity of the research and field tests to the minimum. The purpose of minimum intervention is to avoid as much risks as possible. In the absence of “risk-knowledge calculus” [9] informed by scientific input on the risks and benefits, a maximin approach can be normatively helpful. As per the maximin approach population that are most vulnerable to risks and least likely to benefit deserves special attention.
As already discussed in this paper, ethical deliberations in geoengineering are operating against a lot looming uncertainties. Accordingly, the precautionary principle, a tool towards making decisions under uncertainties, finds it natural inroads into the geoengineering debate [73]. Although precautionary principle could provide some useful tips to make it procedurally just, the debate scenario does not provide a consensual opinion on the interpretations of the precautionary principle in the geoengineering debate. Some strong variants of the precautionary principle call for a total ban or moratorium on researches on geoengineering. The weak version emphasises the focuses on avoiding harm in matters of choices under uncertainty and hence an uncompromising approach to harm would be the norm for geoengineering researches too.
The possibility of the research and development being skewed towards military intentions is a major issue that demands proper procedural protocols [74]. The chequered history climate modifications is loaded with such misuse of technology as in the case of Vietnam War. The prevalent terrorist challenges pose maximum procedural caution against the technology being hijacked by ill-intentioned groups [71]. Guarding against such possible aberrations is a necessary condition for advancing procedural justice in geoengineering.
This paper tried to analyse the ethical desirability of geoengineering from the point of view justice. The analysis suggests that geoengineering, particularly SAG, conceived in its present format carries serious and almost irreparable damages to justice in its three major variants of distributive, intergenerational and procedural justice. Although the present analysis may seem to go heavily against geoengineering, it could be noted that the ethical desirability of geoengineering is not exclusively confined to the issues of justice. As such the motive here is not to reject geoengineering altogether, rather to motivate the proponents of geoengineering to meet the conditions of justice before researching, developing and deploying geoengineering.
In the last 10 years, the market for unmanned aerial vehicles (UAVs) in the civil sector has been growing enormously. This was certainly preceded by a period of intensive research that continues to this day, so, an even greater step forward is expected in the future. Technological advances in the design and manufacture of mechatronic system components have enabled many applications from the aspect of automation. The development of control, propulsion, power supply components, and other subsystems has contributed to greater speed of data processing and greater autonomy, which enables the performance of complex flight missions. The development of propulsion components and numerous studies of propulsion configurations have facilitated applications in various sectors, such as precision agriculture [1, 2], surveillance [3], and aerial photography [4]. The application possibilities of UAVs are plentiful in many other sectors, such as transport [5], construction [6], fire protection [7], and more.
The propulsion configuration defines how the aircraft will move in three-dimensional space and it depends on the type of application or mission that the UAV needs to perform. Numerous types of aircraft with various propulsion configurations are used to perform different tasks, activities, and for research and development. In addition to conventional types of UAVs with fixed wings [8, 9] and rotary wings [10, 11, 12], a number of hybrid configurations [13, 14] and bioinspired propulsion configurations [15, 16] are being investigated. Fixed-wing aircraft can achieve high speeds and compared to other types, consume less energy to achieve movement, but on the other hand, unable to perform the stationary flight. Generally, they need a runway or special launchpad to be able to take off. Aircraft with rotary wings do not have this problem because they have the ability to take off and land vertically (VTOL), and thus stationary flight and flight at moderate speed. This makes them suitable for missions that require complex manoeuvres and a higher degree of system autonomy. Within the rotary-wing UAV type, there are numerous subtypes of aircraft. It is important to highlight two typical representatives, aircraft with variable pitch propellers, such as helicopter aircraft [17] and multirotor aircraft (multicopter) [18], consisting of
Multirotor type of UAV has greater agility and manoeuvrability, which allows them to perform missions that involve precise and complex movements. On the other hand, they are characterised by high-energy consumption, so it is extremely important to choose the right components and parameters of the system. The most commonly used configuration utilises four rotors (so-called quadrotor) and to a lesser extent the configuration with six (hexarotor), and eight rotors (octorotor). Generally, conventional configurations are characterised by a planar geometric arrangement of an even number of rotors. In addition to conventional purposes, a variety of propulsion configurations makes the multirotor type of UAV suitable for usage as aerial robotic systems. Since this type of application is expected for specialised tasks, there is a need to design custom aircraft and make small series or customised systems. It is also important to save time in the design and production phase and lower production costs compared to conventional manufacturing technologies. Rapid prototyping technologies, such as additive manufacturing (AM), allow the fabrication of assembly parts of such systems [19, 20, 21]. Numerous studies have shown the possibilities of rapid prototyping technologies and their application [22, 23].
In this chapter, the framework for design and AM of specialised multirotor UAV parts is presented. In the system design phase, it is necessary to select components and design multirotor UAV based on the purpose of the aircraft. The division into modules (subsystems) allows a greater degree of modularity that leads to a wider range of applications (by fitting the aircraft with different equipment). In the prototyping and production phase, the procedure for making parts using three different AM technologies is described. Depending on the mechanical and other requirements, which are defined in the system design phase, FDM, SLS, and SLA technologies are used within this framework. Professional and hobby 3D printers and related software packages were used in the production process. The procedure was validated for two considered case studies, for a small fully-actuated modular aircraft, and a heavy-lift multirotor UAV. The last part of this chapter presents experimental testing in certain phases of the specialised UAV development, which is necessary for this type of aircraft to be safely used.
Multirotor type of UAV is classified as rotary-wing UAV, aircraft that are heavier than air and are powered by motors. The ability to take off and land vertically, hover, and fly at moderate speeds, amongst other flight manoeuvres, allows multirotor UAVs to perform complex movements, making them suitable for a wide range of tasks. From a mechanical point of view, the multirotor type of UAV system is described as a rigid body consisting of
Conventional multirotor UAV configurations in ×-layout.
The design of the aircraft system primarily depends on the purpose, respectively, the mission profile that the aircraft should typically perform. To allow easier analysis of aircraft parameters and design, the aircraft system can be divided into four key subsystems (Figure 2). The equipment and payload to be carried by aircraft dictate the choice of parameters and components of other subsystems. The rotors of the propulsion subsystem are mainly electric propulsion units (EPUs) whose central part is a brushless DC (BLDC) motor with a corresponding electronic speed controller (ESC), and a fixed-pitch propeller mounted on a motor rotor. By their rotation, the propellers create aerodynamic forces and moments and directly affect the flight dynamics, which means that the rotors angular velocities are the input variables of the propulsion subsystem. The characteristic of the multirotor UAVs is high-energy consumption, so an energy subsystem must deliver a large amount of energy. In conventional EPUs, the power subsystem mainly consists of one or more lithium-polymer (LiPo) batteries with associated electronics. The design of the control subsystem or the selection of components primarily depends on the mission or the degree of autonomy that determines the selection of the flight controller, sensors, and other peripheral modules (telemetry, RC, VTx, and others). It follows that the performance of a multirotor type of UAV is determined by the parameters and components of the propulsion and energy subsystems. These two subsystems are interdependent because, for example, as the power of the aircraft increases, the energy demand increases, resulting in a higher mass of the aircraft. The energy requirements of the propulsion subsystem must be taken into account when selecting batteries, which, in turn, depends on the weight and size of the aircraft and the number of EPUs. When designing a system, the ratio of mass and capacity of the battery is one of the key data.
Multirotor UAV main subsystems.
In this chapter, the design of specialised multirotor aircraft is considered, and two case studies are presented through the design, production, and testing phases. Aircraft, such as those used in the case study, cannot be procured in form of commercial aircraft produced in large series. They are produced in small series or even as unique models designed to perform a specialised task. The first case is an experimental modular multirotor (EMMR) UAV with a power of 350–700 W, which has so far been proposed as an engineering educational platform [18]. EMMR can be used as an aerial robotic system since fully-actuated UAV configurations can be assembled. Such a platform represents a suitable engineering educational tool due to the complexity of the system, which requires an interdisciplinary approach in the field of mechanical engineering, electrical engineering, and computing. The second case is a heavy lift aircraft that can be a power of approximately 10–20 kW, depending on the number of rotors. Such an aircraft is considered for use in precision agriculture for smart spraying tasks. In addition to the fact that these aircraft are not commercially available in a form that would allow change of the parameters within open-source software, it is also important to point out that in small series production the cost per unit increases dramatically. For this reason, technologies for rapid prototyping were chosen, mostly AM in which the cost per unit is the same regardless of the number of units produced (Figure 3), which is a known fact described in numerous studies [24, 25]. AM is often appropriate for small to medium-sized production series but there is always an inflexion point at which other manufacturing methods become more cost-effective.
Cost per unit with respect to quantity for conventional and additive manufacturing technologies.
In this chapter, AM technologies are used for the rapid prototyping and development of specialised multirotor UAVs. In addition to the fact that for small batches AM is cheaper compared to conventional processes, it also significantly shortens the development time by rapid iteration and the possibility of early and often testing many different designs or partial designs with critical features, which further reduce the cost of the final product. Conventional production technologies are much more expensive for small batches due to preparation, tool selection, manufacturing of tools, and other costs. AM, on the other hand, allows the production of parts directly from solid CAD models using software packages, so-called slicers. AM is also suitable for the production of spare parts for damaged aircraft.
There are a large number of low-cost 3D printers on the market, so for low-power multirotor aircraft, parts can be produced very cheaply and quickly. 3D printers may vary greatly in price, size, material, and AM technology used. The paper further considers three AM technologies: FDM, SLS, and SLA. 3D printing uses a wide range of materials, the choice of which is related to AM technology and the purpose of the part. In the case of aircraft parts, plastic materials in the raw form of filament, powder, or resin are mainly used. To determine whether certain materials and AM technologies are suitable for the production of a particular part, the desired strength, stiffness, and weight of the part must be taken into account, but the influence of environmental conditions and the expected duration of the part must also be considered. In addition to the choice of material, the mechanical properties of the part can be alternated and adjusted by changing the printing parameters and the orientation of the printed part. Because parts are fabricated gradually, layer by layer, the inevitable result is the anisotropic properties of printed parts. Better mechanical properties are achieved along with the printing layer and worse in a direction normal to the printing layer. There are many ways in which the mechanical properties of materials can be tested [26, 27, 28]. Also, greater precision and greater detailed geometry can be achieved in planes parallel to the print layer where print accuracy is higher. Table 1 shows the main characteristic of the used 3D printers in combination with the associated software.
FDM | Prusa i3 MK3S+ | Continuous thermoplastic filaments | 250 × 210 × 210 mm | PrusaSlicer |
FDM | Markforged Onyx Pro | Composite base filaments | 320 × 132 × 154 mm | Eiger |
SLS | Sinterit Lisa Pro | Powder | 150 × 200 × 260 mm | Sinterit Studio |
SLA | Formlabs Form 3 | Resin | 145 × 145 × 185 mm | PreForm |
Used 3D printers with associated software.
Fused deposition modelling (FDM) or known as fused filament fabrication (FFF) is a manufacturing technology in which objects are created by extruding polymer filament onto a built platform through a heated nozzle. There are numerous versions of FDM printers with various price ranges. In this research, Prusa i3 MK3 is used as a low-cost FDM printer where the platform moves in the Y-axis and the nozzle in the X- and Z-axes. When one layer is done, the nozzle will move up vertically to allow a new layer to be applied to the previous one. The thickness of the layer (slice) depends on the print parameters, and in the case of the used Prusa printer, the slices are between 0.05 and 0.30 mm thick [29]. Prior to the AM process, the constructed CAD model must be exported in a compatible file format, such as STL. Such a model is then cut into horizontal slices in a software package (so-called slicer). The paths of the platform and the nozzle are calculated by the software according to the parameters set by the user. In addition to the mentioned layer thickness, which significantly affects the accuracy, some of the other variable parameters are the number of layers in the outer wall and the number of layers at the bottom and top of the part, the percentage and structure of the filling, extrusion speed, and others. Because the next printing layer prints on top of the last one, supporting structures are required to print large overhangs or holes. They are printed together with the part and removed after printing is done. In general, overhangs should be avoided by proper orientation of the part or by using angled overhangs where possible. The most common materials used in FDM technology are ABS, PLA, PC, ASA, PPSF/PPSU, ULTEM, PH-HD. PE-LD, PET, TPU, and others. Figure 4 shows a working principle of the FDM technology.
The principle of operation of FDM technology.
In addition to classic FDM technology, devices that can produce parts from composite materials using FDM processes are known as continuous fibre fabrication (CFF). In this paper, Markforged Onyx Pro is used, in which the platform moves in the Z-axis and the nozzle in the X- and Y-axes. Compared to the Prusa printer, it is a much more expensive device but allows 3D printing of composite materials made of plastic matrix and inlaid fibreglass fibres for better mechanical properties and increased lifetime, compared to plastic alone. The strength and stiffness of a fibre-reinforced part can be comparable to aluminium. The software package allows adjustment of the classic print parameters and further adjustment of the composite reinforcements parameters as shown in Figure 5.
Fibre reinforcement layout—CFF technology [
The next AM technology considered in the chapter is selective laser sintering, which with the advent of cheaper 3D printer systems allows the application not only for industrial purposes but also for research. The material used in this technology is available in the form of powder that is laser-sintered to create a designed geometry. The powder delivery mechanism consists of two chambers, in the first, there is construction powder that is delivered to the second chamber through rollers and a piston in form of a powder layer. In the second chamber, a layer is precisely sintered to the desired shape utilising laser beams. This technology does not require a support structure, as the unsintered powder provides support to the object under construction. This allows the production of parts of more complex geometry from different types of materials, and it is possible to produce prefabricated assemblies with movable joints. After the production process, further processing of the part or assembly is required to achieve certain mechanical properties of the finishing quality. In this chapter, the SLS system is discussed, which consists of the SLS 3D printer Sinterit Lisa Pro and the associated equipment for the preparation of powder materials (nylon 11, nylon 12, TPU, TPE, and polypropylene) and processing of parts and assemblies. Figure 6 shows the working principle of the SLS.
The principle of operation of SLS technology.
Stereolithography (SLA) is the first commercially available AM technology developed in 1986 by 3D Systems. With this technology, CAD models are created by curing polymer resin using a laser beam system. With SLA technology, the laser is focussed on a mirror scanning system that cures polymer resin with very high precision. When one layer is cured by laser, the built platform moves upwards in the z-direction and the new layer can be treated. The materials for SLA are thermoset photosensitive resin-shaped polymers. SLA technology makes it possible to achieve high accuracy and a smooth surface, making it the most cost-effective AM technology. Compared to the previously considered technologies, SLA parts have poorer mechanical properties; therefore, SLA technology is not recommended for structurally loaded parts. Figure 7 shows the scheme of the SLA procedure.
The principle of operation of SLA technology.
The design of the multirotor type of UAV propulsion subsystem is considered and the additive manufacturing framework is shown. This framework can also be used for rapid prototyping of parts from carbon fibre plates. The process of making parts is presented for two experimental aircraft that can be used for specialised purposes, such as performing tasks involving complex and precise movements and in tasks involving the transfer of heavy cargo.
The propulsion subsystem is defined by the parameters of the geometric arrangement and characteristics of the EPUs. A suitable fixed-pitch propeller is mounted on the rotor of the outrunner BLDC motor (Figure 8). The basic parameter of a propeller is its diameter. As the diameter of the propeller increases, the angular velocity of the motor rotor decreases. The motor is defined by a motor velocity constant kV. Motors with a lower motor constant are used in combination with larger diameter propellers and are driven at higher voltages. The ESC is responsible for starting the motor and, depending on the control signal, controls the motor speed. The EPUs are connected to one or more LiPo batteries of the appropriate number of cells and capacity.
Electric propulsion unit of multirotor type of UAV [
The motor stator must be connected to the aircraft assembly which consists of a central part and the rotor arms. Propulsion assembly design is the most complex part of the overall design in terms of the mechanical properties that assembly parts should possess. The aircraft can be used in a wide range of powers, from a few tens of watts to several tens of kilowatts. It is necessary to choose materials and technologies concerning the selected propulsion components. Figure 9a shows the stator geometry which is important from the aspect of mounting the motor to the aircraft assembly. Figure 9b shows the characteristics of the propulsion unit considered in the case of a heavy-lift aircraft.
Electric propulsion unit: (a) BLDC motor geometry [
The configuration of the multirotor UAV is defined by the geometric arrangement of the rotors. Mostly conventional configurations with a planar rotor layout are commercially available. It is possible to select configuration parameters that will result in an increased degree of actuation, which potentially allows the performance of complex tasks in the field of aerial robotics. A fully-actuated aircraft with passively tilted rotor arms are considered in this research (Figure 10).
Fully-actuated multirotor configurations with passively tilted rotors: (a) PTX6; (b) PTX8.
A framework for the production of parts for specialised multirotor UAVs using additive manufacturing is presented. It consists of an aircraft design stage in which various software packages can be used for the needs of 3D modelling of parts and assemblies, and also for simulations. In this research, the SOLIDWORKS software package is used in the design stage. After the process of creating a model is done, triangulation of the 3D CAD model is performed and the model is exported into an STL format. In the prototyping stage, it is necessary to adjust the parameters of the 3D print in accordance with the selected AM technology using associated software, the so-called slicer. The next step is the execution of the g-code by which the given parts are produced. After finishing the print, the parts need to be post-processed (Figure 11).
Additive manufacturing procedure.
Manufactured parts of specialised multirotor UAVs are connected together with other components into functional assemblies. Through the prototyping phase, different test phases were conducted for the two aircraft based on propulsion units with the parameters given in Table 2. By assembling and testing individual subsystems, potential design errors can be identified, and improvements offered.
PTX6 D = 500 mm | MN1806 1400 Kv | CF7024 d = 7″ | Air 10A 3S |
X4 D = 1500 mm | P80 100 Kv | G32x11 d = 32″ | Flame 80A 12S |
Considered multirotor configuration main parameters.
The control subsystem of the experimental aircraft is based on the open-source Pixhawk FC. To operate a fully-actuated aircraft, custom firmware has been developed. Figure 12 shows the indoor testing phase where attitude control experiments were conducted. Indoor testing provides a safe way to set the basic parameters of the control subsystem and set up and test all safety elements. It is also possible to tune the parameters of the control algorithm. After the indoor phase, the remote control of the aircraft was tested in two cases that differ by control inputs from the RC transmitter. The first case is represented with conventional control inputs (thrust, roll, pitch, and yaw), while in the second, control inputs were three forces and yaw moment with respect to body axes.
Experimental testing of PTX6 configuration in case of attitude control.
For the second experimental aircraft, the propulsion unit was tested in different operating regimes at the full power range. Characteristics were obtained (Figure 9b) and other parameters, such as heating, were monitored (Figure 13a). Given the power of the aircraft, the described framework is used in a wider range of rapid prototyping, which includes cutting carbon plates, which together with printed parts and prefabricated tubes form the rotor arm assembly (Figure 13b). In the coming period, it is planned to assemble the propulsion subsystem into a functional assembly so that tests can be carried out as in the case of the first experimental aircraft.
Heavy-lift aircraft propulsion: (a) EPU testing; (b) EPU assembly.
This chapter demonstrates the application of three different AM technologies for the development of customised parts for the specialised multirotor UAVs—fused deposition modelling (FDM), selective laser sintering (SLS), and stereolithography (SLA). Special purpose multirotor UAVs are often produced in small series, with the option of personalization and modular design. In the case of prototyping or individual production, conventional manufacturing technologies are too expensive and not flexible enough to be able to make parts quickly and put them into exploitation. AM offers new possibilities for rapid development of UAV multirotor reducing costs and time of research, development, and production. To take full advantage of AM, a new design approach for AM is needed to achieve lightweight and durable structures of UAV parts. Preliminary tests have shown that the use of the proposed AM technologies is very promising in terms of designing parts of specialised aircraft, as many factors (i.e., geometry, strength, firmness, and weight) often have to be changed and adjusted during the design process. In future work, it is planned to use AM technologies to make parts of other aircraft subsystems and to integrate them in the overall multirotor UAV system. Furthermore, the oncoming tests of mechanical properties are expected to have a great significance for frame structure optimisation.
This research was funded by European Regional Development Fund, Operational programme competitiveness and cohesion 2014–2020, as part of the call for proposals entitled “Investing in science and innovation—first call,” grant number KK.01.1.1.04.0092.
additive manufacturing
unmanned aerial vehicle
fused deposition modelling
selective laser sintering
stereolithography
vertically take-off and land
degrees of freedom
electric propulsion unit
brushless direct current
electronic speed controller
fused filament fabrication
continuous fibre fabrication
lithium-polymer
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\n\nREVIEW CHAPTER – A review chapter analyzes or examines research previously published by other scientists, rather than reporting new findings thus summarizing the current state of understanding on a topic.
\n\nCASE STUDY – A case study involves an in-depth, and detailed examination of a particular topic.
\n\nPERSPECTIVE CHAPTER – A perspective chapter offers a new point of view on existing problems, fundamental concepts, or common opinions on a specific topic. Perspective chapters can propose or support new hypotheses, or discuss the significance of newly achieved innovations. Perspective chapters can focus on current advances and future directions on a topic and include both original data and personal opinion.
\n\nINTRODUCTORY CHAPTER – An introductory chapter states the purpose and goals of the book. The introductory chapter is written by the Academic Editor.
\n\nMonographs is a self-contained work on a particular subject, or an aspect of it, written by one or more authors. Monographs usually have between 130 and 500 pages.
\n\nTYPES OF MONOGRAPHS:
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\n\nCompacts provide a mid-length publishing format that bridges the gap between journal articles, book chapters, and monographs, and cover content across all scientific disciplines.
\n\nCompacts are the preferred publishing option for brief research reports on new topics, in-depth case studies, dissertations, or essays exploring new ideas, issues, or broader topics on the research subject. Compacts usually have between 50 and 130 pages.
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Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. Daramola",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Federal University of Technology",country:{name:"Nigeria"}}},{id:"357014",title:"Prof.",name:"Leon",middleName:null,surname:"Bobrowski",slug:"leon-bobrowski",fullName:"Leon Bobrowski",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Bialystok University of Technology",country:{name:"Poland"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"354126",title:"Dr.",name:"Setiawan",middleName:null,surname:"Hadi",slug:"setiawan-hadi",fullName:"Setiawan Hadi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Padjadjaran University",country:{name:"Indonesia"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"332603",title:"Prof.",name:"Kumar S.",middleName:null,surname:"Ray",slug:"kumar-s.-ray",fullName:"Kumar S. Ray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Statistical Institute",country:{name:"India"}}},{id:"415409",title:"Prof.",name:"Maghsoud",middleName:null,surname:"Amiri",slug:"maghsoud-amiri",fullName:"Maghsoud Amiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Allameh Tabataba'i University",country:{name:"Iran"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}}]}},subseries:{item:{id:"4",type:"subseries",title:"Fungal Infectious Diseases",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment",scope:"Fungi are ubiquitous and there are almost no non-pathogenic fungi. Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11400,editor:{id:"174134",title:"Dr.",name:"Yuping",middleName:null,surname:"Ran",slug:"yuping-ran",fullName:"Yuping Ran",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9d6QAC/Profile_Picture_1630330675373",biography:"Dr. Yuping Ran, Professor, Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China. Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. 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