Edward Fisher

University of Edinburgh

Dr. Fisher is a post-doctoral researcher at Edinburgh University. His interests include tomography, digital signal processing and instrumentation for metrology and imaging. He is a fellow of the Software Sustainability Institute, promoting best-practices for embedded software and signal processing firmware. While his current work focuses on logic synthesis for FPGAs, he developed an all-digital array of single-photon avalanche diodes (SPADs) with a readout suitable for optical communications or metrology as a direct optical to digital converter. He has recently completed a historical analysis of avalanche multiplication and the internal photoelectric effect covering the period 1900 to 1969. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), where he serves on the committee for the Sensors Council UK&I chapter and peer-reviews for Transactions on Circuits and Systems.

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3chapters authored

Latest work with IntechOpen by Edward Fisher

The field of application-specific integrated circuits (ASICs) is fast-paced being at the very forefront of modern nanoscale fabrication - and presents a deeply engaging career path. ASICs can provide us with high-speed computation in the case of digital circuits. For example, central processing units, graphics processing units, field-programmable gate arrays, and custom-made digital signal processors are examples of ASICs and the transistors they are fabricated from. We can use that same technology - complementary metal-oxide semiconductor processes - to implement high-precision sensing of or interfacing to the world through analog-to-digital converters, digital-to-analog converters, custom image sensors, and highly integrated micron-scale sensors such as magnetometers, accelerometers, and microelectromechanical machines. ASIC technologies - now transitioning toward magneto-resistive and phase-changing materials - also offer digital memory capacities that have aided our technological progress. Combining these domains, we have moved toward big data analytics and the new era of artificial intelligence and machine learning. This book provides a small selection of chapters covering aspects of ASIC development and the surrounding business model.

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