Irfan Khan, Ph.D., has been a technology executive with deep expertise in system solutions, ASICs, cellular infrastructure, communication networks and AI. 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. For the past several years, Dr. Khan has delved into AI/ML topics. Leveraging his strong math background and hardware/software knowledge, he has developed a deep understanding of AI models, their applicability for various use cases, key performance metrics and performance enhancing techniques. He has taught machine learning at university level. Dr. Khan is a co-inventor on several issued patents.

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 machine learning and data science courses. 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. 

LinkedIn: https://www.linkedin.com/in/irfan-khan-22ba7a/