AI and the Mobile Device
November 6, 2018
ABOUT TWS 2018
“AI and the Mobile Device” focused on how machine learning, artificial intelligence, and some key applications will interact with wireless technology in the future. The Summit examined how Artificial Intelligence and Machine Learning (AI/ML) will simultaneously enhance connectivity as well as place demands on both devices and connectivity.
Dr. Rajiv Laroia (CTO and Co-Founder of Light) and Prof. Thad Starner (Professor at Georgia Tech and Tech Lead for Google Glass) delivered keynote presentations. Speakers and panelists for the technical sessions include: Erik Stauffer (Google), Tim O’Shea (Virginia Tech), Klaus Doppler (Nokia Bell-Labs), Sachin Katti (Stanford), and Xiaoqing Zhu (Cisco), to name a few.
TWS brings together leaders from industry and academia in an annual forum on emerging technology. The Summit offers direct access to cutting-edge research and innovations from industry leaders, investors, academics, and startups. Through keynote and panel-driven discussions, leading business and technology executives from around the globe share entrepreneurially-oriented research.
Rajiv Laroia is the Co-Founder and CTO of Light, a digital photography company that has developed a multi-lens and multi-sensor camera designed for embedding in smartphones and mobile devices. He previously founded and served as CTO of Flarion Technologies (acquired by Qualcomm in 2006), which developed the base technology for LTE. Prior to Flarion, Laroiaheld R&D leadership roles in Lucent Technologies Bell Labs. Laroia holds a Ph.D. and Master’s degree from the Univ. of Maryland, College Park and a Bachelor’s degree from IIT, Delhi, all in electrical engineering.
Thad Starner has been wearing a computer with a head-up display as part of his daily life since 1993. He is a Professor in the School of Interactive Computing at the Georgia Institute of Technology and a Technical Lead on Google's Glass. Starneris a founder of the annual ACM International Symposium on Wearable Computers, and has produced over 450 papers and presentations on his work. He is an inventor on over 90 United States utility patents awarded or in process. For over two decades, Starner's work has appeared in many national and international public forums.
SPEAKERS / PANELISTS
* Mouseover for bios
Constantine Caramanis received his A.B. in Mathematics from Harvard University, and his M.S. and Ph.D. in Electrical Engineering and Computer Science from MIT. He joined Texas ECE in 2006 and holds the William H. Hartwig Fellowship in Electrical Engineering. His research focuses on decision-making in large-scale complex systems, specifically on learning and computation. He is interested in robust and adaptable optimization, high dimensional statistics and machine learning, and applications to large-scale networks, including social networks, wireless networks, transportation networks, and energy networks.
Vikram Chandrasekhar is an Engineer in the Standards and Mobility Innovations Lab at Samsung Research America. Chandrasekhar’s research leverages the intersection between Wireless Communications, Intelligent Networks and Machine Learning to positively impact people’s lives. He is an active participant in the 3rdGen. Partnership Project and has been instrumental in key cellular standards including 3GPP-LTE and New Radio. He has published over 20 conference and journal publications (including best paper awards in IEEE Asilomar 2008 and IEEE Globecom 2009) and has over 30 issued patents.
Klaus Doppler is heading the Indoor Networks Research in Nokia Bell Labs developing enabling technologies for multi-gigabit indoor networks with a 6th sense. In the past, he has been responsible for the wireless research and standardization in Nokia Technologies, incubated a new business line and pioneered research on Device-to-Device Communications underlaying LTE networks. He has Klaus received his PhD. from Aalto University, Finland in 2010 and his MSc. from Graz University of Technology, Austria in 2003.
Arunabha Ghosh is Director of Wireless Communications at AT&T Labs Inc. He leads a team of researchers responsible for developing new technology related to 5G, such as massive MIMO, self-backhauling ultra-dense network, mmWave technology. He received his B.S. withhighest distinction from Indian Institute of Technology at Kanpur in 1992 and his Ph.D. from University of Illinois at Urbana-Champaign in 1998.
Nageen Himayatis a Principal Engineerwith Intel, where she conducts research on next generation (5G / 5G+) of mobile broadband systems, andapplications of machine learning for wireless. She has authored over 250 technical publications (peer-reviewed publications, 3GPP / IEEE standards contributions and patent filings), with contributions on multi-radio heterogeneous networks, mm-wave communication, cross layer design, and non-linear signal processing techniques. Prior to Intel, Nageen was with Lucent Technologies and General Instrument, where she developed systems for both wireline and wireless networks.
Stephen W. Keckler is Vice President of Architecture Research at NVIDIA and Adjunct Professor of Computer Science at UT Austin. At NVIDIA, Keckler focuses on architectures for massively parallel and energy-efficient systems, domain-specific accelerators, and memory systems. He is a Fellow of ACM and IEEE, an Alfred P. Sloan ResearchFellow, recipient of the NSF CAREER award, ACM Grace MurrayHopper award, the President's Associates Teaching Excellence Award atUT Austin, and the Edith and Peter O’Donnell award for Engineering. Keckler earned his B.S. from Stanford University andM.S. and Ph.D. from the MassachusettsInstitute of Technology.
Li Erran Li is the chief scientist at Pony.ai and an adjunct professor at Columbia University. Most recently, he was with the perception team at Uber ATG. Before that, he was at Bell Labs.Dr. Li’s current research interests are machine learning, computer vision and learning-based robotics. Dr. Li has a Ph.D. from the Computer Science Department at Cornell University. Dr. Li is an IEEE Fellow and an ACM Fellow.
Tim O'Shea is the CTO at DeepSig and a Research Assistant Professor at Virginia Tech, where he is focused on building future wireless systems leveraging machine learning and data-centric design. He previously led applied research projects in software radio, cognitive radio and security at VT, DoD, Hawkeye 360, and Federated Wireless and is a core developer of the open-source GNU Radio project. O'Shea has authored several well-read publications exploring deep learning approaches to core problems in communications and is currently working to further advance physical layer and sensing performance under complex high degree of freedom conditions using machine learning.
Sujay Sanghavi has an MS and PhD in Electrical and Computer Engineering, and an MS in Mathematics, from the University of Illinois, Urbana Champaign (UIUC); his undergraduate degree is a B.Tech from IIT Bombay. He subsequently did a postdoc in LIDS at the Massachusetts Institute of Technology (MIT). Sujay is currently an Associate Professor at the University of Texas, Austin in the ECE department. Sujay's research interests lie at the intersection of networks and machine learning. Sujay received the NSF CAREER award in 2010, and a Young Investigator award from DTRA in 2012.
Erik Stauffer received his B.S. in electrical engineering from the University of Illinois, Urbana-Champaign in 2001, and M.S. and Ph.D. in electrical engineering from Stanford University in 2003 and 2006. Following his time spent in the Smart Antenna Research Group with Prof. Arogyaswami Paulraj, he was then recruited by Beceem Communications in 2006 and subsequently joined Broadcom in 2010. Since 2014, Staufferhas been with Google in Mountain View, California. He has multiple IEEE journal publications, conference papers, and numerous patents.
Sr. Director of Engineering, Qualcomm
Jin Yang received his B.S. and M.S. from Tsinghua University and his Ph.D. from Imperial College. He is a veteran of the telecomm industry with 20 years at Lucent, Motorola, and Huawei, collectively. Yang leads research exploring and applying machine learning and AI technologies in wireless network operation, optimization, and design space, including network performance and user experience monitoring, anomaly detection, root-cause analysis, network optimization, and resource management.
Ariela Zeira joined Intel in 2016 and now leads the Technology Planning and Strategy team at Intel Communication and Devices Group.Prior to joining Intel, Zeira served as Vice President, Engineering, at InterDigital Communications. Throughout her career, she has led technology and product teams primarily in wireless communication. On numerous occasions, she was the first to introduce new technologies into the market. Zeira obtained her undergraduate and graduate EE degrees from the Israel Institute of Technology (Technion) and her Ph.D. in EE from Yale University. She holds 200 issued US patents.
Xiaoqing Zhu received her BE from Tsinghua University in 2001, and M.S. and Ph.D. in electrical engineering from Stanford University, in 2003 and 2009, respectively. Zhu’s research interests include internet video delivery, real-time interactive multimedia communications, distributed resource optimization, and wireless networking. She is the author of over 20 granted/pending U.S. patent applications. Zhu serves as an Associate Editor for IEEE Transactions on Multimedia, and chairs the “Multimedia Content Distribution: Infrastructure and Algorithms” Interest Group within the IEEE Multimedia Communications Technical Committee.