Countdown to the 2018 Texas Wireless Summit

November 6, 2018


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TWS 2018: AI and the Mobile Device

The 16th Texas Wireless Summit, “AI and the Mobile Device,” will focus on how machine learning, artificial intelligence, and some key applications will interact with wireless technology. The Summit will examine how AI/ML will simultaneously enhance connectivity as well as place demands on both devices and bandwidth.

Please join us for this installment of the Texas Wireless Summit on November 6, 2018.

We have an exciting list of high-profile industry and academia speakers! Please stay tuned for more information.

Our past Summits have been typically attended by more than 350 leading members of industry and academia (roughly evenly split between the two) every year.

The faculty organizers for TWS 2018 are WNCG Professors Constantine Caramanis and Sujay Sanghavi.


2018 Summit Agenda

AI and the Mobile Device

Morning Session
  • 7:30 am - Breakfast

  • 8:45 am - Introduction - Constantine Caramanis and Sujay Sanghavi

  • 9:00 am - Keynote - Rajiv Laroia: Is Computational Imaging the Future of Photography?

  • 9:45 am - Erik Stauffer: From Shannon to Machine Learning

  • 10:10 am - Coffee Break

  • 10:25 am - Tim O'Shea: Physical Layer Deep Learning in Next Generation Wireless Baseband Processing

  • 10:50 am - Nageen Himayat: Machine Learning for Context Aware Wireless

  • 11:15 am - Panel - Can ML/AI Help Build Better Wireless Systems?


    Arun Ghosh  |  Director of Wireless Comm., AT&T Labs, Inc.

    Klaus Doppler  |  Head of Connectivity Lab, Nokia Bell Labs

    Vikram Chandrasekhar |  Senior Staff Research Engineer, Samsung Research America

    Constantine Caramanis  |  Professor, WNCG, UT Austin

    Moderated by: Sanjay Shakkottai  |  Professor, WNCG, UT Austin 

Afternoon Session
  • 12:30 pm - Lunch

  • 1:30 pm - Keynote - Thad Starner: Symbiotic AI: Using Wearable Computers to Teach Computers How to Live in a Human World

  • 2:15 pm - Li Erran Li: On the Role of Wireless Communication and Networking in Autonomous Driving

  • 2:40 pm - Xiaoqing Zhu: Geographically Distributed Machine Learning Across Edge and Cloud

  • 3:05 pm - Coffee Break

  • 3:20 pm - Sachin Katti | Professor, Stanford Univ.

  • 3:45 pm - Panel - Edge vs. Cloud: Where Should AI be Done?


    Steve Keckler  |  Vice President of Architecture Research, NVIDIA

    Sujay Sanghavi  |  Associate Professor, WNCG, UT Austin

    Jin Yang  | Senior Director, Applied Machine Learning in Network and Services, Huawei

    Ariela Zeira  |  Head of Technology Planning and Strategy, Intel

  • 5:00 pm - Reception

2018 Speakers & Panelists

Dr. 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, Laroia held 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. He is recipient of the 2013 IEEE Industrial Innovation Award.
Rajiv Laroia

Keynote: Co-Founder & CTO, Light; Founder, Flarion Technologies

Dr. 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. Starner is 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.
Thad Starner

Keynote: Tech Lead, Google Glass; Professor, Georgia Tech

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 UT 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.
Constantine Caramanis



Dr. 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. Doppler received his Ph.D. from Aalto University, Finland in 2010 and his M.S. from Graz University of Technology, Austria in 2003.

Klaus Doppler

Head of Connectivity Lab, Nokia Bell Labs

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. with highest distinction from Indian Institute of Technology at Kanpur in 1992 and his Ph.D. from University of Illinois at Urbana-Champaign in 1998.
Arunabha Ghosh

Director of Wireless Comm., AT&T Labs, Inc.

Dr. Nageen Himayat is a Principal Engineer with Intel, where she researches next generation (5G/5G+) of mobile broadband systems and applications 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, Himayat was with Lucent Technologies and General Instrument, where she developed systems for both wireline and wireless networks. Himayat received her BSEE degree from Rice University, MBA from University of California, Berkeley, and Ph.D. from the University of Pennsylvania.
Nageen Himayat

Principal Engineer, Intel

Dr. Sachin Katti is an Associate Professor of Electrical Engineering and Computer Science at Stanford University. He received his Ph.D. from MIT in 2009. His research focuses on designing and building next generation high capacity wireless networks using techniques from information and coding theory. Katti has won the 2008 ACM Doctoral Dissertation Award - Honorable Mention, the George Sprowls Award for Best Doctoral Dissertation in EECS at MIT, an MIT Deshpande Center Innovation Grant, and the 2009 William Bennett Prize for Best Paper in IEEE/ACM Transactions on Networking. His research interests are in networks, wireless communications, applied coding theory and security.
Sachin Katti

Professor, Stanford Univ.

Dr. 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 Research Fellow, recipient of the NSF CAREER award, ACM Grace Murray Hopper award, the President's Associates Teaching Excellence Award at UT Austin, and the Edith and Peter O’Donnell award for Engineering. Keckler earned his B.S. from Stanford University and M.S. and Ph.D. from the Massachusetts Institute of Technology.
Steve Keckler

Vice President of Architecture Research, NVIDIA

Dr. Li Erran Li is the chief scientist at 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.
Li Erran Li

Chief Scientist,; Adjunct Professor, Columbia Univ.

Tim O’Shea

Professor, Virginia Tech

Sujay 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.
Sujay Sanghavi

Associate Professor

Erik Stauffer

Research Scientist, Google

Dr. 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. He also leads company-wide initiatives in establishing AI enabled intelligence for smart network operation and design. Yang’s current research interests include wireless systems (RAN and CN), IP-based communication, and multimedia applications.
Jin Yang

Senior Director, Applied Machine Learning in Network and Services, Huawei

Dr. 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.
Ariela Zeira

Head of Technology Planning and Strategy, Intel

Dr. 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.
Xiaoqing Zhu

Research Scientist, Cisco

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