Kanad Basu

Assistant Professor The University of Texas at Dallas

Kanad Basu received his Ph.D. from the department of Computer and Information Science and Engineering, University of Florida. His thesis was focused on improving signal observability for post-silicon validation. Post-PhD, Kanad worked in various semiconductor companies like Intel, IBM and Synopsys. Currently, Kanad is an Assistant Professor at the Electrical and Computer Engineering Department of the University of Texas at Dallas, where he leads the Trustworthy and Intelligent Embedded Systems (TIES) lab. Prior to this, Kanad was an Assistant Research Professor at the Electrical and Computer Engineering Department of NYU. He has authored 1 book, 2 US patents, 2 book chapters and several peer reviewed journal and conference articles. Kanad was awarded the ”Best Paper Award” at the International Conference on VLSI Design 2011 and an honorable mention award at VLSI Design 2021. Several News agencies have covered his research including NBC Austin and CBS Dallas-Fort Worth. Kanad’s current research interests are functional safety, hardware and systems security, Deep learning hardware and Quantum computing. His research is funded by the National Science Foundation, Semiconductor Research Corporation and Technology Innovation Institute.

Day Three | September 21, 2023

1:45 PM SAFETY IN ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

  • Understand the role of SOTIF in ensuring the reliability, robustness, and securities of artificial intelligence components
  • Discuss the role of safe software in the development of autonomous vehicles Understand how SOTIF can deal with the unpredictability of AI
  • Explore the development of new standards for arguing AI safety

Check out the incredible speaker line-up to see who will be joining Kanad.

Download The Latest Agenda