C2M2 would like to thank Dr. Mhafuzul Islam, General Motors R&D for taking part in our C2M2 CPS Frontiers Series. Dr. Islam spoke on March 18, 2022.
Seminar Title
Hybrid Quantum-Classical Machine Learning for Cloud-supported In-Vehicle Cyberattack Detection
Seminar Abstract
Quantum computing is an emerging area, where using the computational power of a quantum computer a vast number of calculations can be performed simultaneously compared to classical computers. Though utilizing the true power of a quantum computer is far-fetched, a hybrid setup of quantum and classical computers can achieve a computational advantage over a classical computer only. In this talk, Dr. Mhafuzul Islam will present one of his studies of using a hybrid quantum-classical neural network to detect a cyberattack on the in-vehicle communication network. This study found that using a hybrid quantum-classical neural network, it is possible to achieve a higher attack detection accuracy compared to a quantum-only neural network, and a classical neural network.
Speaker Bio
Dr. Mhafuzul Islam is currently working as a Senior Researcher in General Motors R&D, USA. He received his Ph.D. and M.Sc. in Civil Engineering from Clemson University and B.Sc. degree in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET). His research area includes transportation cyber-physical systems with an emphasis on data-driven connected autonomous vehicles. During his Ph.D. and M.Sc., Dr. Mhafuzul Islam worked under the supervision of Dr. Mashrur Chowdhury and worked on multiple C2M2 funded research projects. He previously worked as a senior software engineer at Infineon Technologies AG, Germany.