Tentative Schedule

Dr. Jilei Hou is a Senior VP of Engineering and the Head of AI Research at Qualcomm Technologies.
Jilei obtained his PhD from UCSD and joined Qualcomm in 2003. He made substantial contributions in
technology innovation, standardization, and product commercialization across wireless 3G/4G/5G standards.

In 2011, he moved to Beijing and became the Head of Qualcomm Research China, where he initiated
5G research and intelligent robotics programs. In 2017, he moved back to San Diego to lead AI Research,
developing the AI research infrastructure, driving technical innovations for next-gen hardware and software
platforms, and leading research to benefit technology verticals—e.g., mobile, auto, and XR.

Jilei built a world-class AI R&D team with technology leadership in the areas of power-efficient AI,
on-device AI, and GenAI. He is an IEEE Senior Member and is on the External Advisory Board for the
Athena AI Institute.

Dr. Jilei Hou is a Senior Vice President of Engineering and the Head of AI Research at Qualcomm Technologies.
He obtained his Ph.D. from UC San Diego and joined Qualcomm in 2003. Over the years, he has made substantial
contributions in technology innovation, standardization, and product commercialization across 3G, 4G, and 5G wireless standards.

In 2011, he moved to Beijing and became the Head of Qualcomm Research China, where he initiated 5G research and intelligent robotics programs.
In 2017, he returned to San Diego to lead Qualcomm’s AI Research efforts, establishing research infrastructure,
driving innovation for next-generation hardware and software platforms, and advancing research to impact verticals
including mobile, automotive, and XR.

Under his leadership, Qualcomm built a world-class AI R&D team that leads in power-efficient AI, on-device AI, and GenAI.
Dr. Hou is also an IEEE Senior Member and serves on the External Advisory Board for the Athena AI Institute.

Theodore (Ted) Rappaport is the David Lee/Ernst Weber Professor at New York University (NYU) and holds faculty appointments in the Electrical and Computer Engineering department of the NYU Tandon School of Engineering, the Courant Computer Science department, and the NYU Grossman School of Medicine. He is the founder and director of NYU WIRELESS, a multidisciplinary research center focused on the future of wireless communications and applications.

Rappaport is a pioneer in the fields of wireless communication, radio propagation measurement, channel modeling, antennas, and software. He has made seminal contributions in radio propagation measurements, statistical and site-specific channel modeling, millimeter wave and THz wireless communications with beamforming, communications system design, and physical layer simulation.

Satya’s multi-decade research career has focused on the challenges of performance, scalability, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet.

In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT).Most recently, he has been viewed as “The Father of Edge Computing” for his seminal 2009 paper, and his pioneering contributions to the foundations of edge computing.

Satya is the Jaime Carbonell University Professor of Computer Science at Carnegie Mellon University. He received the PhD in Computer Science from Carnegie Mellon, after Bachelor’s and Master’s degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE, and a member of the National Academy of Engineering.

As the Director of Global Business Development, Greg focuses on partnerships and projects that use NVIDIA’s professional XR products to bring the benefits of real-time, immersive rendering to enterprise.

Greg’s team also works in the area of combining AI and XR along with GenAI workflows using diffusion models. Previously, Greg was Associate Director of a 200-person academic research institute focused on scientific computing, image analysis, computer graphics, and data visualization at the University of Utah.

Greg holds a B.S. in Physics and Ph.D. in Biomedical Science from the University of New Mexico, and an MBA from the University of Utah.

Dr. Jing Li has over 25 years of experience in the financial industry. She currently serves as an investment committee member of the Future Science Award Funds, contributing her expertise to strategic allocation and fund oversight.

Prior to this role, Dr. Li worked as an Investment Manager at the United Nations Pension Fund (with assets exceeding $100 billion) and at Duke University’s endowment (DUMAC) since 2008. There, she oversaw asset allocation, sourced global public and private managers, managed currency trading portfolios, and developed hedge strategies and solutions.

Before entering capital markets, Dr. Li served as a Financial Expert at the International Monetary Fund (IMF) and as a Financial Economist at the Office of the Comptroller of the Currency (OCC), the regulator of U.S. national banks.

While pursuing her graduate studies in Japan, she also worked as an independent consultant for Nippon Life Insurance Company, the Center for Research in Advanced Financial Technology, and Mathematical Systems Inc. in Tokyo.

Dr. Li holds a Ph.D. in Operations Research and a Master’s degree in Industrial Management and Engineering from the Tokyo Institute of Technology, as well as a Bachelor’s degree in Computer Science from Beijing University of Chemical Technology.