
Irfan Khan

- Biography
Biography
Irfan Khan, Ph.D., has been a technology executive with deep expertise in system solutions, AI/ML, ASICs, cellular infrastructure, and communication networks. Over his 30-year past career at Qualcomm, Ericsson, and SRI International, he has driven groundbreaking innovations and led the commercialization of several flagship products. He has successfully built and scaled high-performance global R&D teams from the ground up.
Dr. Khan is active in San Diego’s startup ecosystem, serving as an angel investor and advisor. He is a member of NuFund Venture Group. Passionate about giving back, he is a mentor for the Alaska gBETA accelerator and is an adjunct faculty member at San Diego State University (SDSU) and UC San Diego (UCSD), where he teaches the next generation of engineers in Machine Learning, Algorithms and Probability/Statistics. He also serves as Chair of the Computer Science Industry Advisory Board (IAB) at SDSU.
Dr. Khan holds a Ph.D. in Electrical Engineering from the University of Southern California (USC), and MS degrees in Electrical Engineering (George Washington University) and Computer Science (USC). He also earned an MBA in Entrepreneurship from SDSU and a B.E. in Electrical & Electronics Engineering from BITS Pilani, India.
Dr. Khan is active in San Diego’s startup ecosystem, serving as an angel investor and advisor. He is a member of NuFund Venture Group. Passionate about giving back, he is a mentor for the Alaska gBETA accelerator and is an adjunct faculty member at San Diego State University (SDSU) and UC San Diego (UCSD), where he teaches the next generation of engineers in Machine Learning, Algorithms and Probability/Statistics. He also serves as Chair of the Computer Science Industry Advisory Board (IAB) at SDSU.
Dr. Khan holds a Ph.D. in Electrical Engineering from the University of Southern California (USC), and MS degrees in Electrical Engineering (George Washington University) and Computer Science (USC). He also earned an MBA in Entrepreneurship from SDSU and a B.E. in Electrical & Electronics Engineering from BITS Pilani, India.
Area(s) of Expertise
- AI/ML
- Probability/Statistics
- Algorithms
- System solutions for edge devices and infrastructure
- ASICs
- Communication Networks
Course(s)
DSC 215R: Foundations of Probability and Statistics in Data Science