Biography: Dr. Sudharman K. Jayaweera is a Program Director in the Emerging Technologies section in the Directorate of Technology, Innovation and Partnerships, or TIP, at the U.S. National Science Foundation (NSF) with program responsibilities in Advanced Telecommunications, Artificial Intelligence & Machine Learning (AI/ML) and Immersive Technologies. Dr. Jayaweera is also a Professor in Electrical and Computer Engineering at the University of New Mexico and the Founder and President of Bluecom Systems and Consulting, an R&D startup company in Albuquerque, NM. His research expertise and interest are in mobile wireless telecommunications, AI/ML, space systems and satcom, dynamic spectrum sharing (DSS) and coexistence, spectrum and space situational awareness, statistical signal processing and information theory.

Dr. Jayaweera completed high school education in Sri Lanka at Rahula College, Matara, and was a science journalist at the Associated Newspapers Ceylon Limited (Lake House) in Colombo Sri Lanka. He received the B.E. degree in Electrical and Electronic Engineering (EEE) with First Class Honors from the University of Melbourne, Australia and obtained his M.A. and PhD degrees in Electrical Engineering (EE) from Princeton University. During 2009-2011 he was a faculty fellow at the Kirtland Air Force Research Laboratory (AFRL) Space Vehicles Directorate (AFRL/RVSV), NM and was a National Academy of Sciences National Research Council (NRC) Senior Fellow at the Naval Postgraduate School (NPS), Monterey, CA, in 2013.

At NSF, among other things, he designed the NSF-24-545 Breaking Low Ideas Lab program for accelerating next-generation wireless technologies to enable low-latency demanding vertical industries and the Track 2 of the NSF 25-539 VINES program for verticals-enabling intelligent network systems and is the Cognizant Program Director for NSF 24-111 AI-Ready Testbeds, an NSF CISE and TIP joint program.

Biography: Daniel McDuff is a Senior Staff Research Scientist and Manager at Google and Affiliate Professor at the University of Washington. Daniel completed his PhD at the MIT Media Lab in 2014. At Google he founded and leads the Personal Health AI Foundations team which develops fundamental AI models for Fitbit and Google Health, including the Health Coach. The Personal Health AI Foundations team has trained the largest wearable sensor foundation models and contributes to frontier models including Gemini, MedGemma, and AMIE. Daniel has published over 200 peer-reviewed papers on health AI (Nature, Nature Medicine), multimodal machine learning (NeurIPS, ICLR, ICCV, ECCV, Siggraph) and human-computer interaction (CHI, CSCW). His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist, Scientific American and Forbes magazine. Daniel was named a WIRED Innovation Fellow, an ACM Future of Computing Academy member and has spoken at TEDx and SXSW.