Industrial Forums
Industry Program
AI/ML - A New Paradigm for Communication Networks
Moderator: Haris Gacanin, Nokia Bell Labs, Belgium
Speakers:
Victor Bahl, Distinguished Scientist, Director Mobility & Networking Research, Microsoft, USA. (IEEE/ACM/AAAS Fellow)
Yuji Inoue, Chairman of Toyota Info Technology Center, Toyota, Japan (IEEE Life-Time Fellow)
Sekiya Motoyoshi, Head of Service Oriented Network Research Center, Fujitsu, Japan
Peiying Zhu, Senior Director, Huawei, Canada; (IEEE Fellow, Huawei/ Fellow)
Time: 10:00 - 12:00, Wesnesday, February 20, 2019
Haris Gačanin received Ph.D in E.E. from Tohoku University, Japan, in 2008. He was with Tohoku University from April 2008 until May 2010 first as Japan Society for Promotion of Science postdoctoral fellow and then, as Assistant Professor. In 2010, he joined Nokia (former Alcatel-Lucent) where he is currently Artificial Intelligence Communication Systems department head within Nokia Bell Labs. His professional interest is related to application of artificial intelligence to enable autonomous networking of mobile and wireless systems. Haris has more than 180 scientific publications (journals, conferences and patent applications), invited and tutorial talks. He is senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Electronics, Information and Communication Engineering (IEICE). He is a recipient of IEICE Communication System Study Group (2015) Award, the 2013 Alcatel-Lucent Award of Excellence, the 2012 KDDI Foundation Research Award, the 2009 KDDI Foundation Research Grant Award, the 2008 Japan Society for Promotion of Science (JSPS) Postdoctoral Fellowships for Foreign Researchers, the 2005 Active Research Award in Radio Communications, 2005 Vehicular Technology Conference (VTC 2005-Fall) Student Paper Award from IEEE VTS Japan Chapter and the 2004 Institute of IEICE Society Young Researcher Award.
Victor Bahl is a distinguished scientist and director of mobility & networking research in Microsoft. He serves on the Microsoft Research Redmond Lab leadership team managing over 200 researchers and staff. He advises Microsoft's CEO and his senior leadership team on strategy and long-term vision related to networked systems, cloud computing, data center infrastructure, mobile computing, and wireless systems. He heads a high-powered group that executes on this vision through research, technology transfers to product groups, industry partnerships, and associated policy engagement with governments and research institutes around the world. Dr. Bahl has published over 125 papers with close to 50,000 citations; has been granted over 150 patent and delivered over 40 keynotes. For his seminal work in wireless systems and broadband access he has received several technical and leadership awards including the IEEE Koji Kobayashi Computers and Communications Award, the ACM SIGMOBILE Outstanding Contributions Award, two United States FCC awards, two national transportation awards, two test-of-time award, three best paper awards, a distinguished service award, two distinguished alumni awards (from and a IEEE outstanding leadership award. Under his direction, his group has had game changing impact on Microsoft's cloud computing infrastructures both in the data center and in wide-area networking and on edge computing and live video analytics. Dr. Bahl is the founder of ACM SIGMOBILE, ACM MobiSys, ACM GetMobile and several other important conferences. With his wife, he co-founded Computing For All, a non-profit dedicated to increasing and enhancing computer science education for students of all ages and from all backgrounds. Dr. Bahl is a Fellow of the ACM, IEEE, and AAAS.
Yuji Inoue was born in 1948 in Fukuoka, Japan. He received the B.E., M.E. and Ph. D degrees from Kyushu University, Fukuoka, Japan, in 1971, 1973 and 1986, respectively, and was made an Honorary Professor of the Mongolian Technical University in 1999.
He joined NTT Laboratories in 1973. He was first engaged in the development of digital network equipment and systems, and then in the standardization of ISDN (Integrated Services Digital Network), SDH (Synchronous Digital Hierarchy) etc in ITU-T, then he was the chairperson of technical committee in TINA-C, Telecommunication Information Networking Architecture Consortium. In 1997, he lead a global business development division when NTT was de-regulated to the global business. He moved to NTT Data Corporation to head its R&D as a board member in 2000. He moved back to NTT Shareholding Company as its board member and CTO to direct NTT group's R&D with 6000 researchers and engineers.
In 2006, he was the candidate for the Director of ITU-T. Based on this experience, he joined TTC, The Telecommunication Technology Committee, in 2007 as the President and CEO.
In 2010, he moved to Toyota Info Technology Center Co., Ltd. as the Chairman of the Board, where he has been supporting Toyota Motor Company as one of the leading edge Connected Car Services Providers. He is now serving Toyota ITC as the Adviser.
He is a life-time fellow of IEEE, and a Honorable Professor of Mongolian Science and Technology University. He received many awards such as Japanese Ministers Awards. He wrote and edited many technical books.
Dr. Sekiya Motoyoshi joined Fujitsu Limited 1990 and has been engaged in research and development of optical communication system, includes Optical module, WDM system, Network software etc. He joined Fujitsu labs of America in 2010 and leading the research group in photonic networks, optical transmission system and SDN. Currently, he is Head of Service Oriented Network Research Center Fujitsu Labs Limited. He has served as technical committee member of OFC/NFOEC, Globecom workshop SDN for Optics, ICCVE, AICT, ONDM etc.. He is an inventor of more than 70 patents.
Dr. Peiying Zhu is an IEEE Fellow and Huawei Fellow. She is currently leading 5G wireless system research in Huawei. The focus of her research is advanced wireless access technologies with more than 200 granted patents. She has been regularly giving talks and panel discussions on 5G vision and enabling technologies. She served as the guest editor for IEEE Signal processing magazine special issue on the 5G revolution and IEEE JSAC on Deployment Issues and Performance Challenges for 5G. She co-chaired various 5G workshops in IEEE GLOBECOM. She is actively involved in 3GPP and IEEE 802 standards development. She is currently a WiFi Alliance Board member.
Prior to joining Huawei in 2009, Peiying was a Nortel Fellow and Director of Advanced Wireless Access Technology in the Nortel Wireless Technology Lab. She led the team and pioneered research and prototyping on MIMO-OFDM and Multi-hop relay. Many of these technologies developed by the team have been adopted into LTE standards and 4G products.
Peiying Zhu received the Master of Science degree and Doctor Degree from Southeast University and Concordia University in 1985 and 1993 respectively.
5G and IoT Eco-system
Moderator: Jeff Foerster, Intel Corporation, USA. (IEEE Fellow)
Speakers:
Stefan Parkvall, Ericsson Research, Sweden (IEEE Fellow)
Amitabha (Amitava) Ghosh, Nokia, USA (IEEE Fellow, Nokia Fellow)
Richard Candell, National Institute of Standards & Technology(NIST), USA
Ravi Ravindran, Huawei, USA
Abstract
5G is the next revolution in wireless technology and brings with it many opportunities for creating new business and services. The Internet of Things (IoT) is also revolutionizing many industries by enabling machines to directly work with machines without human latencies in the loop. In addition, IoT is blurring the lines between the physical world and the cyber-digital world where sensors are continuously capturing information in the real world to be analyzed, interpreted, and then recreated in the virtual or augmented reality world. However, these IoT technologies have a broad range of requirements for the underlying communications technology, from very low throughputs and extremely low power consumption to very high reliability and ultra-low latency. 5G has promised to address these ranges of requirements over time, but many of these capabilities are not yet realized and questions remain how best to monetize these new services to help support the necessary build-out of the 5G network. The purpose of this panel is to discuss a range of topics related to 5G and IoT including new services and monetization strategies for 5G network providers, new IoT application areas like Industrial IoT which introduce new latency and reliability requirements for wireless networks, the role of network slicing in supporting differentiated IoT services, new 5G networking topologies to support emerging IoT applications, the potential for enabling private networks to support localized services, and emerging architectures utilizing edge computing for new IoT applications including autonomous driving, AR/VR, and AI.
Jeff Foerster joined Intel in August 2000 and is currently a Principal Engineer and Director of Emerging Connectivity Solutions in the Wireless Communications Research Lab in Intel Labs. He currently leads a team focused on next generation Wi-Fi technologies, emerging IoT systems, and future internet architectures. Previously, he led an internal research team and a multi-year university research consortium, co-funded by Cisco and Verizon, on Video Aware Wireless Networks, which included topics on joint source-channel coding, video quality estimation, adaptive streaming, and end-to-end video network optimizations. Currently, he leads a multi-university research program on Ultra-low power radios for IoT as well as a joint Intel and NSF funded program on Information Centric Networking in Wireless Edge Networks (ICN-WEN). His past research has included Ultra-wideband (UWB) technology and related regulations, 60 GHz system design, and wireless displays. Jeff has published over 30 papers including journals, magazine, and conferences, and has been an invited panelist and presenter at several conferences. He received his B.S., M.S., and Ph.D. degrees from the University of California, San Diego, where his thesis focused on adaptive interference suppression and coding techniques for CDMA systems. Jeff is a Fellow of the IEEE.
Stefan Parkvall is currently a principal researcher at Ericsson Research working with research on 5G and future radio access. He is one of the key persons in the development of HSPA, LTE and NR radio access and has been deeply involved in 3GPP standardization for many years. Dr Parkvall is a fellow of the IEEE, served as an IEEE Distinguished lecturer 2011-2012, and is co-author of the popular books "3G Evolution - HSPA and LTE for Mobile Broadband", "HSPA evolution - the Fundamentals for Mobile Broadband", "4G - LTE/LTE-Advanced for Mobile Broadband", "4G, LTE Advanced Pro and the Road to 5G", and "5G NR - The Next Generation Wireless Access". He has more than 1000 patents in the area of mobile communication. In 2005, he received the Ericsson "Inventor of the Year" award, in 2009 the Swedish government's Major Technical Award for his contributions to the success of HSPA, and in 2014 he and colleagues at Ericsson was one of three finalists for the European Inventor Award, the most prestigious inventor award in Europe, for their contributions to LTE. Dr Parkvall received the Ph.D. degree in electrical engineering from the Royal Institute of Technology in 1996. His previous positions include assistant professor in communication theory at the Royal Institute of Technology, Stockholm, Sweden, and a visiting researcher at University of California, San Diego, USA.
Amitabha (Amitava) Ghosh[F] (amitava.ghosh@nokia.com) is a Nokia Fellow and Head, Small Cell Research at Nokia Bell Labs. He joined Motorola in 1990 after receiving his Ph.D in Electrical Engineering from Southern Methodist University, Dallas. Since joining Motorola he worked on multiple wireless technologies starting from IS-95, cdma-2000, 1xEV-DV/1XTREME, 1xEV-DO, UMTS, HSPA, 802.16e/WiMAX and 3GPP LTE. He has 60 issued patents, has written multiple book chapters and has authored numerous external and internal technical papers. He is currently working on 3GPP LTE-Advanced and 5G technologies. His research interests are in the area of digital communications, signal processing and wireless communications. He is the recipient of 2016 IEEE Stephen O. Rice and 2017 Neal Shephard prize, member of IEEE Access editorial board and co-author of the book titled "Essentials of LTE and LTE-A".
Richard Candell has twenty years of experience in telecommunications system with extensive experience in the design and evaluation of wireless communications systems. Mr. Candell spent twelve years developing, testing, and deploying secure wireless technologies for commercial and defense applications at Hughes, Thales, and Comtech. He served as the lead systems engineer for developing deep cost-saving technologies for the US Army to include spread spectrum interference cancellation and test strategies for mobile phased array beam steering transceivers. Mr. Candell participated in validating early standards work in software-defined radio (SDR) while developing multi-band multi-mode radios for the U.S. Special Operations Command. He holds patents in successive interference cancellation and transmission burst detection applied to spread-spectrum satellite communications signals. He joined the National Institute of Standards and Technology (NIST) in 2014 and now leads the Industrial Wireless Systems project. His current research interests include the performance impacts of wireless networks on industrial sensing and actuated control applications and developing reliable and robust wireless networking, sensing, and automation solutions for advanced manufacturing applications. Mr. Candell holds a BS and MS degree in Electrical Engineering from The University of Memphis.
Dr. Ravi Ravindran is a Principal Researcher and a Research Manager at Huawei Research Centre in Santa Clara, USA, where he part of the future network theory and architecture lab. He has been conducting advanced telecommunications research for over 18 years with active contributions to standard bodies such as IETF, ATIS and ITU. His current area of research focuses on Next Generation IoT architectures, Information-centric Networking, 5G, SDN and NFV. While he is currently focussed on next generation high bandwidth and low latency IoT mobile applications and architectures, he has actively contributed to NSF-funded future Internet proposals such as NDN/CCN and Mobility First which was in collaboration with external research groups, standard bodies and academia. At Huawei he has also been recognised with an Individual Gold medal award for this contributions towards research. Prior to this role, he was part of the CTO office at Nortel, where he was part of the Advanced Technology Group focused on research areas like Control Plane research related to Routing Protocols for IP/(G)MPLS networks, Scheduling problems in 4G Wireless, and End-to-end QoE/QoS Engineering for Multimedia. Over the course of his research, he has been part of more than 15 granted patents and over 40 pending filings in various areas of networking technologies. He has over 50 technical publications in conferences and journals. Dr. Ravindran received Ph.D. in Systems and Computer Engineering from Carleton University in Canada and Masters in Computer Science from University of Oklahoma in United States.
Machine Learning and AI in 5G
Moderator: Klaus Doppler, Head of Connectivity Group, Nokia Bell Labs, USA
Speakers:
Taneli Mielikäinen, Distinguished Engineer, Oath, USA.
Nageen Himayat, Principal Engineer, Intel, USA.
Sharad Sambhwani, Director, Qualcomm, USA.
Swetha Muniraju, Department Head, Nokia Bell Labs, USA.
Ying Li, Research Scientist, Facebook, USA.
Abstract
Machines have learnt to drive cars and beat the best humans in playing Go and in detecting objects in still images. Most devices and applications, envisioned to run on 5G networks, will use machine learning and AI. Such applications range from autonomous vehicles and robots to scene analysis for immersive and mixed reality applications to real-time operation of large industrial installations. All these applications depend on sensory inputs. The sensory input could even come from the RF signal captured by massive MIMO and millimeter wave antennas of 5G networks which includes a large amount of information about its surrounding. We also see active research in applying machine learning and AI to the operation of 5G networks itself. In this panel, we will address the requirements from machine learning and AI applications to 5G networks, the impact it will have on the design of 5G networks and new applications enabled by utilizing the 5G network as a sensor.
Klaus Doppler is heading the Indoor Networks Research group in Nokia Bell Labs. His research focus is on enabling ubiquitous Gigabit connectivity and on developing technologies for smart buildings, enterprises and factories. 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. Klaus received several inventor awards in Nokia for 100+ pending and granted patent applications. He has published 40+ scientific publications, received his PhD. from Aalto University, Finland in 2010 and his MSc. from Graz University of Technology, Austria in 2003.
Taneli Mielikäinen is a Distinguished Engineer at Oath Big Data & Machine Learning Platform group, leading scalable machine learning systems and services for Oath and Verizon businesses. Prior that he was heading the user database group and working on user modeling and understanding at Oath/Yahoo!. Prior Yahoo! he was working at Nokia as a Lead Data Scientist, Research Leader and other roles, creating machine learning systems and solutions for Nokia's consumer businesses. He has published a few papers around topics such as data science, computational biology, machine learning, and combinatorial optimization. His current focus is in large-scale, data-intensive systems and algorithms in various environments. He received the MSc and PhD degrees in Computer Science at University of Helsinki, in 2002 and 2005, respectively, where continues as an Adjunct Professor in Computer Science.
Nageen Himayat is a Principal Engineer with Intel, where she conducts research on 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, Nageen was with Lucent Technologies and General Instrument, where she developed systems for both wireline and wireless networks. Nageen received her BSEE degree from Rice University, MBA from University of California, Berkeley, and Ph.D. from the University of Pennsylvania.
Sharad Sambhwani is a Sr. Director of Technology within Wireless R&D at Qualcomm Technologies Inc. He is currently leading the research on mmWave radar sensor applications. He has extensive experience in design, standardization and implementation of wireless communication systems such as 3G WCDMA/HSPA, LTE and 60 GHz backhaul. He represented Qualcomm as 3GPP RAN1 HSPA lead from 2007 to 2012 and is the recipient of the prestigious Qualcomm CR&D Distinguished Contributor Award (2008) for outstanding technical vision and contributions towards HSPA and WCDMA technologies.
Prior to joining Qualcomm, Sharad began his career as Member of Technical Staff in the Advanced Technology department at Bell Labs, Holmdel, NJ in 1996. He later had stints at a couple of startups, Algorex (acquired by National Semiconductors) and Quicksilver Technology. He received his MS and Ph.D. degree in EE from Polytechnic University, Brooklyn, NY (now NYU) in 1992 and 1997 respectively. He holds ~150 granted patents and has authored 11 publications.
Swetha Muniraju is currently working as Department Head in Nokia Bell Labs, Sunnyvale. She received her Bachelor's degree with Electronics and Communication major from M.S.R.I.T, India and received her Master's degree in Electrical and Computer Science Engineering with Wireless Communication and Signal Processing major from CSUF in 2012. She has over 7 years of industry experience working on cutting edge radio technologies and building innovative applications together with industry partners and leading university groups. In her current work, she is leading the research activities that involves exploring RF sensing capabilities and modeling AI based end-to-end multi-sensory systems that can be applied to real-world smart home, smart building and smart city deployments. Her professional interests span out into areas like artificial intelligence and machine learning for wireless systems, IOT edge computing, signal processing and sensor fusion techniques.
Dr. Ying Li has served as a research scientist at Facebook since July 2017. Her work focuses on applying data analytics, machine learning and artificial intelligence in connectivity to help bring more people online to a faster internet. Dr. Li's research interests include machine learning, artificial intelligence, optimization, resource allocation, connectivity, communication systems and networking, and end-to-end quality of experiences (QoEs).
Prior to Facebook, Dr. Li worked with Futurewei Technologies (2015-2017) in Bridgewater, NJ on data analytics, machine learning, and artificial intelligence in communication networks. She also worked for Samsung Research America (2013 to 2015) and Samsung Telecommunications America (2008-2013) in Dallas, TX on communication networks (including 4G, 5G, WiFi, etc.) and smart energy networks.
Dr. Li received the M.A. and Ph.D. degrees in Electrical Engineering at Princeton University, in 2005 and 2008 respectively, with minors in Mathematics, and Operations Research and Financial Engineering.