Panel 1: Future of Wi-Fi and 5G sensing and localization
Tuesday, 22nd September, 10:05-11:00 PDT
Panelists: Lili Qiu is a Professor at Computer Science Dept. in UT Austin. She got M.S. and PhD degrees in Computer Science from Cornell University in 1999 and 2001, respectively. After graduation, she spent 2001-2004 as a researcher at System & Networking Group in Microsoft Research Redmond. She joined UT Austin in 2005, and has founded a vibrant research group working on Internet and wireless networks at UT. She is an ACM Fellow and IEEE Fellow. She also got an NSF CAREER award and Google Faculty Research Award, and best paper awards at ACM MobiSys'18 and IEEE ICNP'17. She also supervised a PhD dissertation that won SIGMOBILE best dissertation award in 2020. Neal Patwari is a Full Professor at Washington University in St. Louis in the Department of Electrical and Systems Engineering and the Department of Computer Science and Engineering. He directs the Sensing and Processing Across Networks (SPAN) Lab, which investigates estimation, detection, and classification problems within networks. Prior developments have improved privacy in wireless networks, and capabilities for using a wireless network as a sensor. He is interested in the equity impacts of algorithms. His research perspective was shaped by his BS (1997) and MS (1999) in EE at Virginia Tech, his research work at Motorola Labs, and his Ph.D. in EE at the University of Michigan Ann Arbor (2005). He has helped start two companies, Xandem, and Vita Sensors, which develop and sell RF sensing products. He received the NSF CAREER Award in 2008, the 2009 IEEE Signal Processing Society Best Magazine Paper Award, and the 2011 University of Utah Early Career Teaching Award. He has co-authored papers with best paper awards at IEEE SenseApp 2012 and at the ACM/IEEE IPSN 2014 conference. Neal served as the TPC co-chair of IPSN 2020, and has served as a member of the TPC of conferences in wireless and sensor networking such as IPSN, MobiCom, SECON, and SenSys. Ranveer Chandra is the Chief Scientist at Microsoft Azure Global. His research has shipped in multiple Microsoft products, including Windows, Visual Studio, XBOX, and Azure. Ranveer is leading the FarmBeats, battery research, and TV white space research projects at Microsoft. His work on FarmBeats was featured by Bill Gates on GatesNotes, and he has been invited to present his research on FarmBeats to the Secretary of Agriculture, and on TV White Spaces to the FCC Chairman. Ranveer has published over 90 research papers, and has over 100 patents that have been granted by the USPTO. He has won several awards, including best paper awards, and the MIT Technology Review’s Top Innovators Under 35. Ranveer has an undergraduate degree from IIT Kharagpur, India and a PhD from Cornell University. Shyam Gollakota is an Associate Professor of Computer Science & Engineering at the University of Washington. His research covers a range of topics, including bio-robotics, computer networks, user interfaces, battery-free computing and mobile health. His work has led to three startups, Jeeva Wireless, Sound Life Sciences and Wavely Diagnostics, has been licensed by ResMed Inc and is in use by hundreds of thousands of users. He is the recipient of a 2015 National Science Foundation Career Award, an Alfred P. Sloan Fellowship and the SIGMOBILE Rockstar award. He was named as MIT Technology Review’s 35 Innovators Under 35, Popular Science ‘brilliant 10’ and twice to the Forbes’ 30 Under 30 list. His group’s research has earned Best Paper awards at MOBICOM, SIGCOMM, SenSys, NSDI and CHI, appeared in Science Robotics, Science Translational Medicine and Nature Digital Medicine as well as named as a MIT Technology Review Breakthrough technology of 2016 as well as Popular Science top innovations in 2015. He is an alumni of MIT (Ph.D., 2013, winner of ACM doctoral dissertation award) and IIT Madras. Beibei Wang is Vice President of Research and Director of Intellectual Properties at Origin Wireless Inc., and an affiliated researcher with the Department of Electrical and Computer Engineering, University of Maryland, College Park. She received the B.S. degree in electrical engineering (Hons.) from the University of Science and Technology of China, Hefei, in 2004, and the Ph.D. degree in electrical engineering from the University of Maryland, College Park in 2009. She was with the University of Maryland as a research associate in 2009-2010, and with Qualcomm Research and Development in 2010- 2014. Her research interests include Internet of Things, mobile computing, wireless sensing and positioning, and communications and networking. Dr. Wang is the recipient of the 2015 IEEE Signal Processing Society Overview Paper Award and several research and invention awards from the University of Maryland. She is a co-author of Cognitive Radio Networking and Security: A Game-Theoretic View (Cambridge University Press, 2010) and Wireless AI: Wireless Sensing, Positioning, IoT, and Communications (Cambridge University Press, 2019). She has served on the editorial board of IEEE Signal Processing Letters, IEEE Internet of Things Journal, and IEEE Journal on Selected Areas in Communications and on the technical program committee of conferences in signal processing and wireless communications. Moderator: Yasamin Mostofi received the B.S. degree in electrical engineering from Sharif University of Technology, and the M.S. and Ph.D. degrees from Stanford University. She is currently a professor in the Department of Electrical and Computer Engineering at the University of California Santa Barbara. Yasamin is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the National Science Foundation (NSF) CAREER award, the 2016 Antonio Ruberti Prize from the IEEE Control Systems Society, and the IEEE 2012 Outstanding Engineer Award of Region 6 (more than 10 Western U.S. states), among other awards. She was a semi-plenary speaker at the 2018 IEEE Conference on Decision and Control (CDC) and a keynote speaker at the 2018 Mediterranean Conference on Control and Automation (MED). She has worked extensively on many different aspects of RF Sensing, such as occupancy analytics, person identification, robotic x-ray vision, and see-through imaging, with an emphasis on using everyday communication signals, such as WiFi, for sensing. She has also worked extensively on robotic networks, mobility-enabled connectivity, and human-robot collaboration. She is a fellow of IEEE
Panel 2: 5G and Edge Applications
Thursday, 24th September, 09:20-10:20 PDT
Panelists: Bo Han is an Associate Professor in the Department of Computer Science at George Mason University. His research interests are in the areas of networked systems, mobile computing, and wireless networking. His current research focuses on immersive video streaming, augmented, virtual, and mixed reality, and the Internet of Things. He enjoys building practical systems by leveraging innovations in machine learning, multimedia, computer vision, computer graphics, and human-computer interaction. Before joining George Mason University, he was a Principal Scientist at AT&T Labs Research, where he improved network efficiency and quality of user experience for networking services and mobile applications. He got his Ph.D. in Computer Science from the University of Maryland. He is the co-inventor of 27 granted U.S. patents and has filed a further 42 U.S. patents. Derek Long is the Head of Telecoms and Mobile at Cambridge Consultants. Derek leads the company's collaboration within the sector. Central to Derek's role at Cambridge Consultants is helping create breakthrough innovation that transforms the delivery of high-performance communication for their partners; from mobile carriers and ISPs, to vendors and components manufacturers. With over 20 years' experience in mobile technology, Derek has held a range of multinational senior management roles and has a wealth of expertise across all generations of mobile and broadband technology, including LTE-A and 5G. Derek holds a PhD in telecommunications from the University of Bristol. Dr. John E. Smee is Vice President of Engineering at Qualcomm Technologies Inc., where he is the R&D lead responsible for overseeing all 5G/6G research projects including end-end systems design and advanced RF/HW/SW prototype implementations in Qualcomm’s wireless research and development group. He joined Qualcomm in 2000, holds over 150 U.S. Patents, and has been involved in the design, innovation, standardization, and productization of wireless communications systems such as 5G NR, 4G LTE, 3G CDMA, and IEEE 802.11. He also leads Qualcomm’s companywide academic collaboration program across technologies including wireless, semiconductor, multimedia, security, and machine learning. John was chosen to participate in the National Academy of Engineering Frontiers of Engineering program and received his Ph.D. in electrical engineering from Princeton University and also holds an M.A. from Princeton and an M.Sc. and B.Sc. from Queen's University. Ganesh Ananthanarayanan is a Principal Researcher at Microsoft Research. His research interests are broadly in systems and networking, with recent focus on live video analytics, cloud computing and large-scale data analytics systems, and Internet performance. He has coauthored more than 30 papers in systems and networking conferences such as USENIX OSDI, ACM SIGCOMM, and USENIX NSDI, with the highest-rated paper at ACM Symposium on Edge Computing (SEC) 2018 and Best Demo Award (runner-up) at ACM MobiSys 2019. His work on “Video Analytics for Vision Zero” on analyzing traffic camera feeds won the Institute of Transportation Engineers 2017 Achievement Award as well as the “Safer Cities, Safer People” U.S. Department of Transportation Award. He has collaborated with and shipped technology to Microsoft's cloud and online products like the Azure Cloud, Cosmos (Microsoft's big data system) and Skype. He was a member of the ACM Future of Computing Academy. He received the Ph.D. degree in December 2013 from the University of California, Berkeley, CA, USA, where he was also a recipient of the UC Berkeley Regents Fellowship. Prior to his Ph.D., he was a Research Fellow at Microsoft Research India. Moderator: Lili Qiu is a Professor at Computer Science Dept. in UT Austin. She got M.S. and PhD degrees in Computer Science from Cornell University in 1999 and 2001, respectively. After graduation, she spent 2001-2004 as a researcher at System & Networking Group in Microsoft Research Redmond. She joined UT Austin in 2005, and has founded a vibrant research group working on Internet and wireless networks at UT. She is an ACM Fellow and IEEE Fellow. She also got an NSF CAREER award and Google Faculty Research Award, and best paper awards at ACM MobiSys'18 and IEEE ICNP'17. She also supervised a PhD dissertation that won SIGMOBILE best dissertation award in 2020.