Yaser Banad
Associate Professor
Dr. Banad is an Associate Professor in the School of Electrical and Computer Engineering at the University of Oklahoma. Prior to joining OU, he was a researcher at Harvard University, a faculty at Southern University in Louisiana, and a research and development engineer at Samsung Electronics. His research includes emerging machine learning applications and the hardware implementation of energy-efficient neuromorphic computing based on emerging materials, devices, and sensors. Dr. Banad is a director of a new research laboratory, “Neuromorphic Intelligent Computing Systems (NICS)” that focuses on emerging techniques for reliable, energy-efficient, and high-performance neuromorphic engineering across the full stack of materials, devices, circuits, systems, algorithms, and applications.
Note: If you are a motivated and hard-working student interested in neuromorphic engineering, you may email a single PDF containing your CV and transcripts to bana@ou.edu (Email subject: Applicant’s Name – Starting Semester).
Research Interests:
Secure, Energy-efficient Artificial Intelligence Hardware, Algorithms, and Applications: energy-efficient and real-time machine intelligence through algorithm-hardware co-design and new design methodologies of circuit and architecture with beyond CMOS technologies for emerging technology.
Neural-inspired Hardware Acceleration for Intelligent Systems: Integration of emerging nanoelectronics devices, circuits, and non-von Neuman architectures to accelerate on-chip machine learning and event-based machine vision, with a particular interest in real-time and energy-efficient applications.
Email Dr. Banad
Office: DEH 342
Research: https://neuroics.wixsite.com/yaser.
