Asim Bhatti

Deakin University Australia

Associate Professor Asim Bhatti is affiliated with the Institute for Intelligent Systems Research and Innovation at Deakin University, Australia. He has pioneered and leads the area of Neural and Cognitive Systems at Deakin University, a highly emerging and multidisciplinary field of research. This involves functional characterization of the brain, at the neuronal network as well as cell level, in response to external stimuli including pharmaceuticals and/or infections, such as viruses. This research also involves behavioral quantification of organisms, such as mosquitoes, in their natural habitat using computer vision and deep learning algorithms. Prof. Bhatti has been involved in over $40 million research income to Deakin University through numerous competitive grants, industry, and Australian Defense collaborations. He has edited four (4) and authored two (2) books, published over 100 scholarly publications including over 28 Journals, 13 Book chapters, over 60 international conference papers, and 2 worldwide patents. He has authored over 150 commercial-in-confidence peer-reviewed technical reports to industry and government organizations paving the way for improved product and process quality, health and safety, and ergonomics through technological innovations. Prof. Bhatti is also a recipient of a number of awards including Gold Medal in Mobility Engineering Excellence Awards (2016) by SAE Australasia, a finalist in SAE Automotive Engineering Excellence Awards (2010, 2011) and Prestigious Australian Endeavor Fellowship (2011).

Asim Bhatti

3books edited

2chapters authored

Latest work with IntechOpen by Asim Bhatti

The book is a new edition of stereo vision book series of INTECH Open Access Publisher and it presents diverse range of ideas and applications highlighting current research/technology trends and advances in the field of stereo vision. The topics covered in this book include fundamental theoretical aspects of robust stereo correspondence estimation, novel and robust algorithms, hardware implementation for fast execution and applications in wide range of disciplines. Particularly interesting approaches include neuromorphic engineering, probabilistic analysis and anisotropic reaction diffusion addressing the problem of stereo correspondence and the applications in mobile robotics for autonomous terrain mapping and navigation. SterCentre for Intelligent Systems Research (CISR), Institute of Technology, Research and Innovation (ITRI),eo algorithm with anisotropic reaction-diffusion systems utilizing biologically motivated reaction-diffusion systems with anisotropic diffusion coefficients makes it an interesting addition to the book.

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