Topic: “Energy-efficient AI systems”
Dr Adnan Mehonic (AM) is an assistant professor in nanoelectronics and RAEng research fellow at the Department of Electronic and Electrical Engineering, University College London. He received a BSc in Electronic Engineering from the University of Sarajevo in 2009 and was awarded the Golden Badge, the best student award. He graduated from UCL with an MSc in Nanotechnology (Distinction, Oxford Instruments prize for the best MSc project) in 2010 and PhD in 2014 (top 3 best PhD thesis in 2013/14, EE Department). To date, he has authored more than 100 journal publications and international conference proceedings on memristive technologies and energy-efficient AI hardware. His research resulted in two major EPSRC project grants - EP/K01739X/1 in 2013 (£1.4m) and EP/P013503/1 in 2016 (£735k) and a Leverhulme grant in 2016 (£330k). In 2017, he was awarded a highly prestigious 5-year Royal Academy of Engineering Research Fellowship to work on neuromorphic technology for energy-efficient AI hardware (£722k). He serves on the advisory boards of Wiley's Adv. Intelligent Systems, and is a review editor for Front. in Materials and Front. in Nanotechnology. He is a board member for IoP's Dielectrics and Electrostatics group and an IoP and IET member. He is the director of the MSc in Nanotechnology at UCL. He is the inventor of 10 resistance-switching patents and co-founder of spinout company ("IntrinSic Semiconductor Technology"), where he serves as a Chief Technology Officer. He received the "One to Watch 2015" award from UCL Enterprise for UCL's most innovative staff, MIT's Technology Review "Innovators under 35", and Wiley's Advanced Science "Rising Star" in 2021. Recently, his perspective article "Brain-inspired computing: We need a master plan" that makes a case for energy-efficient AI has been accepted in Nature.