Eric received a Ph.D. in Microsystems Engineering from Rochester Institute of Technology and works for Sony Electronics as a Principal Analog System Architect.
Zach is pursuing a BS/MS dual degree in Computer Engineering. His research interests include brain-inspired algorithms and model interpretability. He is currently performing ongoing work on his masters' thesis on graph-based Echo State Networks (ESNs).
Anurag Daram received his B.Tech. degree in Information and Communication Technology from DA-IICT, India, in 2012 and is currently pursuing his M.S. in Computer Engineering at Rochester Institute of Technology. He joined the Neuromorphic Artificial Intelligence Lab in 2017. His research interests include developing energy-efficient AI, and brain-inspired and on-device learning systems.
Char is pursuing a BS/MS dual degree in Computer Engineering from RIT. Currently, she is exploring digital implementations of varying number systems to reduce FPGA resource utilization, power, and latency while preserving performance of neural networks.
Piers is pursuing a BS/MS dual degree in Computer Engineering.
Seyed Hamed Fatemi Langroudi received the M.Sc. degrees in computer engineering from Shahid Beheshti University (former National University of Iran) in 2013, respectively. Since 2015, he has been working toward the Ph.D. degree in the Department of Computer Engineering at Rochester of Institute of Technology. He is a student member of IEEE Computer Society and IEEE Circuits and Systems Society. His current research interests include Deep Learning and Computer Arithmetic. His primary research area is developing new computer arithmetic algorithm for energy efficient deep neural network.
Jeff received a Ph.D. in Microsystems Engineering from Rochester Institute of Technology and works for Sony Electronics as an IC Design Engineer.
Tej is pursuing his Master's in Computer Engineering and Ph.D. in Engineering. He is currently completing his master's thesis in reinforcement learning in 3-D environments with neurogenesis and a novel learning rule.
Nicholas Soures received his B.S. in physics in 2015 from Binghamton University. Afterwards, he joined RIT where he completed his M.S. in Computer Engineering and is currently pursuing his Ph.D. in Engineering. The focus of his current research is on hardware-driven algorithms and human-like intelligent systems. His research interests include artificial intelligence, reasoning, and neuromorphic engineering.
Humza is pursuing a dual degree for a Bachelor's and Master's in Computer Engineering at Rochester Institute of Technology. His current interests lie in researching Hierarchical Temporal Memory and other neuromorphic algorithms. His main goal with these algorithms is to undertake complex spatio-temporal tasks, such as video classification.
Fatima Tuz Zohora completed her B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in 2016. She joined the Neuromorphic AI lab in Fall 2018 to pursue a Ph.D. degree. Her research interests include brain-inspired computing and digital and mixed-signal system design.
Abdullah M. Zyarah is a lecturer at the Department of Electrical Engineering, University of Baghdad. He specializes in digital and mixed signal designs and his current research interests include Neuromorphic architectures for energy-constrained platforms and biologically-inspired algorithms. Mr. Zyarah received his B.Sc. degree in Electrical Engineering from University of Baghdad, Iraq, in 2009, and M.Sc. degree in the same discipline from Rochester Institute of Technology, USA, in 2015. Currently, he is pursuing his Ph.D. degree within the Neuromorphic AI Lab in the Department of Computer Engineering, Rochester Institute of Technology.