Selected Recent Talks

• "From Large Language Models to Pervasive General Intelligence: The Path Forward," Keynote Talk at ACM Great Lakes Symposium on VLSI (GLSVLSI), June 12, 2024

• "Accelerator Architectures for Deep Neural Networks: Inference and Training,” Booz, Allen, Hamilton Lecture at the University of Maryland, May 6, 2022 Watch Video

• "Brain-Inspired Computing: Models and Accelerator Architectures," IEEE CASS First African Webinar Series on Fundamentals in Circuits and Systems and Emerging Technologies, Oct. 15, 2020

• "Hardware Security: Functional Encryption and Chip Authentication,” IEEE CASS Rio Grande do Sul Chapter Virtual Distinguished Lecture, September 4, 2020

• "Machine Learning and Deep Learning Systems: Low-Energy VLSI Architectures and Applications,” IEEE Circuits and Systems Society Virtual Distinguished Lecture Webinar, April 29, 2020

• "Data Analytics and Data-Driven Computing: Applications from Internet-of-Things to Classifying Neuropsychiatric Disorders," Wireless Networking and Communications Group Seminar at University of Texas at Austin, February 15, 2018

• "Brain, Biomedical, and Biomolecular Informatics: Convergence of Signal Processing, Machine Learning and Computing," ECE Colloquium Talk at University of Washington, Seattle, Oct. 25, 2016
  Link to Youtube Video

• "Internet of Things: Information Analytics, Energy-Efficiency and Hardware Security," ECE Colloquium Talk at Cornell, Oct. 31, 2016

• "Simple Features and Simple Classifiers for Cyber-Physical Systems: Applications to Seizure Detection and Prediction," Talk presented at Workshop on Big Data Analytics in CPS: Enabling the Move from IoT to Real-Time Control April 13, 2015, Seattle, Washington

• "VLSI Systems for Neurocomputing and Health Informatics," Keynote Talk at the 2014 ACM Great Lakes Symposium on VLSI, May 21, 2014

• "Biomarkers & Brain Connectivity for Neurological & Psychiatric Disorders," ECE Colloquium Talk, University of Arizona, April 24, 2014