Seongbok Baik |
Research scientist, KT Infra R&D Laboratory
Seongbok Baik is a research scientist in the Division of Network Infrastructure Innovation at KT Infra R&D Laboratory where he has been a research member since 1995. Seongbok completed his Ph.D. at Illinois Institute of Technology and his research interests lie in the areas of deep learning, network management, parallel processing, human computer interactions, ranging from theory to design to implementation. Achievements include application of deep learning technologies to the telcos’ network management tasks, research in fault management method for non-blocking networks of computing cloud system, unification of large scale network management systems, etc.
Chairman, AIIA, Director, CAICT
Mr Cheng is the chairman of tje Telecommunication Task Group of Artificial Intelligence Industry Alliance (AIIA) of China. In addition, he holds the position of Director Engineer of China Academy of Information and Communications Technology (CAICT).
Vice-President, Huawei France R&D center
Mérouane Debbah entered the Ecole Normale Supérieure Paris-Saclay (France) in 1996 where he received his M.Sc and Ph.D. degrees respectively. He worked for Motorola Labs (Saclay, France) from 1999-2002 and the Vienna Research Center for Telecommunications (Vienna, Austria) until 2003. From 2003 to 2007, he joined the Mobile Communications department of the Institut Eurecom (Sophia Antipolis, France) as an Assistant Professor. Since 2007, he is a Full Professor at CentraleSupelec (Gif-sur-Yvette, France). From 2007 to 2014, he was the director of the Alcatel-Lucent Chair on Flexible Radio. Since 2014, he is Vice-President of the Huawei France R&D center and director of the Mathematical and Algorithmic Sciences Lab. His research interests lie in fundamental mathematics, algorithms, statistics, information & communication sciences research. He is an Associate Editor in Chief of the journal Random Matrix: Theory and Applications and was an associate and senior area editor for IEEE Transactions on Signal Processing respectively in 2011-2013 and 2013-2014. Mérouane Debbah is a recipient of the ERC grant MORE (Advanced Mathematical Tools for Complex Network Engineering). He is a IEEE Fellow, a WWRF Fellow and a member of the academic senate of Paris-Saclay. He has managed 8 EU projects and more than 24 national and international projects. He received 17 best paper awards, among which the 2007 IEEE GLOBECOM best paper award, the Wi-Opt 2009 best paper award, the 2010 Newcom++ best paper award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC best paper award, the 2015 ICC best paper award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial paper award, the 2016 European Wireless Best Paper Award and the 2017 Eurasip Best Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom2009, Valuetools 2012 and SAM 2014 best student paper awards. He is the recipient of the Mario Boella award in 2005, the IEEE Glavieux Prize Award in 2011 and the Qualcomm Innovation Prize Award in 2012.
Ahmad El Assaad|
Researcher, Volkswagen Group
Mr El Assad completed his studies in Communication and information Technology at RWTH Aachen University in 2012. He than worked for Elektrobit Automotive GmbH in V2X application development of autonomous parking. Research in simultaneous communications and accurate mobile positioning was the topic he worked on while at Laird. He was a System designer at for car smart access for Continental Automotive GmbH. His current position is Researcher in 5G and beyond for connected automated driving systems for Volkswagen Group. His interest areas are cellular communications Technologies (LTE, 5G and beyond), Device-to-Device communication (IEEE-802.11p, 5G-D2D), Machine Learning in 5G for connected automated driving cars and simultaneous communication and mobile positioning systems.
Turkcell 5G R&D team
Dr Salih Ergut has more than 15 years of experience in the telecommunication domain in academia and industry. He has worked for vendor and operator companies in the sector including Ericsson Wireless (San Diego, CA), Ericsson Silicon Valley, Aware (Boston, MA), Nextwave (San Diego, CA), Turk Telekom Group (Istanbul, Turkey) and is currently working at Turkcell 5G R&D team in Istanbul, Turkey. He received his BS in Electrical Engineering from Bilkent University (Ankara, Turkey), MS in Electrical & Computer Engineering from Northeastern University (Boston, MA), and PhD in Electrical & Computer Engineering from University of California San Diego (La Jolla, CA). His research interests include wireless communications, machine learning, big data technologies, 5G technologies, SDN, NFV, and IoT.
David Gesbert (IEEE Fellow) is Professor and Head of the Communication Systems Department, EURECOM. He obtained the Ph.D degree from Ecole Nationale Superieure des Telecommunications, France, in 1997. From 1997 to 1999 he has been with the Information Systems Laboratory, Stanford University. He was then a founding engineer of Iospan Wireless Inc, a Stanford spin off pioneering MIMO-OFDM (now Intel). Before joining EURECOM in 2004, he has been with the Department of Informatics, University of Oslo as an adjunct professor. D. Gesbert has published about 270 papers and 25 patents, some of them winning the 20015 IEEE Best Tutorial Paper Award (Communications Society), 2012 SPS Signal Processing Magazine Best Paper Award, 2004 IEEE Best Tutorial Paper Award (Communications Society), 2005 Young Author Best Paper Award for Signal Proc. Society journals, and paper awards at conferences 2011 IEEE SPAWC, 2004 ACM MSWiM. He was a Technical Program Co-chair for ICC2017 in Paris and WSA2017 in Berlin. He was named in the 2014 Thomson-Reuters List of Highly Cited Researchers in Computer Science. Since 2015, he holds the ERC Advanced grant "PERFUME" on the topic of smart device Communications in future wireless networks. Since 2017 he is also a visiting Academic Master within the Program 111 at the Beijing University of Posts and Telecommunications as well as a member in the Joint BUPT-EURECOM Open5G Lab. Finally D. Gesbert is a board member for the OpenAirInterface Software Alliance.
Amazob Web Services
Elena Ehrlich received the Ph.D. degree in mathematics from Imperial College London, UK in 2014, with research interests in artificial intelligence, machine learning, Bayesian statistics, and streaming data. Elena is a data scientist on the AI Global Practice team for AWS Professional Services.
Imperial College London
Deniz Gündüz received the M.S. and Ph.D. degrees in electrical engineering from Polytechnic University (now NYU Polytechnic) in 2004 and 2007, respectively. After his PhD, he served as a postdoctoral research associate at Princeton University, and as a consulting assistant professor at Stanford University. He was a research associate at CTTC in Barcelona, Spain until September 2012, when he joined the Electrical and Electronic Engineering Department of Imperial College London, UK, where he is currently a Reader in information theory and communications, and leading the Information Processing and Communications Lab. His research interests lie in the areas of communications and information theory, machine learning, and security and privacy in cyber-physical systems. Dr. Gündüz is an Editor of the IEEE Transactions on Communications, and the IEEE Transactions on Green Communications and Networking. He is the recipient of the IEEE Communications Society - Communication Theory Technical Committee (CTTC) Early Achievement Award in 2017, a Starting Grant of the European Research Council (ERC) in 2016, IEEE Communications Society Best Young Researcher Award for the Europe, Middle East, and Africa Region in 2014, Best Paper Award at the 2016 IEEE Wireless Communications and Networking Conference (WCNC), and the Best Student Paper Award at the 2007 IEEE International Symposium on Information Theory (ISIT). He is the General Co-chair of the 2018 IEEE ICC Workshop on Premises and Challenges of Machine Learning in Communication Networks, and 2018 Workshop on Smart Antennas, and previously served as the General Co-chair of the 2016 IEEE Information Theory Workshop.
Full Professor, Department of Electrical Engineering, Qatar University
Ridha Hamila received the Master of Science, Licentiate of Technology with distinction, and Doctor of Technology degrees from Tampere University of Technology (TUT), Tampere, Finland, in 1996, 1999, and 2002, respectively. Dr. Ridha Hamila is currently a Full Professor at the Department of Electrical Engineering, Qatar University, Qatar. From 1994 to 2002 he held various research and teaching positions at TUT within the Department of Information Technology, Finland. From 2002 to 2003 he was a System Specialist at Nokia research Center and Nokia Networks, Helsinki. From 2004 to 2009 he was with Emirates Telecommunications Corporation, UAE. Also, from 2004 to 2013 he was adjunct Professor at the Department of Communications Engineering, TUT. His current research interests include mobile and broadband wireless communication systems, Internet of Everything, and Machine Learning. In these areas, he has published over 150 journal and conference papers most of them in the peered reviewed IEEE publications, filed five US patents, and wrote numerous confidential industrial research reports. Dr. Hamila has been involved in several past and current industrial projects, Ooreedo, Qatar National Research Fund, Finnish Academy projects, EU research and education programs. He supervised a large number of under/graduate students and postdoctoral fellows. He organized many international workshops and conferences. He is a Senior Member of IEEE.
Yong-Geun Hong is a director of the Electronics and Telecommunications Research Institute (ETRI). He is a project leader of IoT Network and Intelligent Network R&D projects in ETRI. He received his B.S., M.S. and Ph.D in computer engineering from the Kyoungpook National University, Daegu, Korea. He is also working for the IoT related standardization at IETF (Internet Engineering Task Force) and ITU-T. His research interests include IPv6, Internet Mobility, M2M/IoT, and network
Nokia Bell Labs
Jakob Hoydis is a member of technical staff at Nokia Bell Labs, France, where he is investigating applications of deep learning for the physical layer. Previous to this position he was co-founder and CTO of the social network SPRAED and worked for Alcatel-Lucent Bell Labs in Stuttgart, Germany. He received the diploma degree (Dipl.-Ing.) in electrical engineering and information technology from RWTH Aachen University, Germany, and the Ph.D. degree from Supélec, Gif-sur-Yvette, France, in 2008 and 2012, respectively. His research interests are in the areas of machine learning, cloud computing, SDR, large random matrix theory, information theory, signal processing and their applications to wireless communications. He is recipient of the 2012 Publication Prize of the Supélec Foundation, the 2013 VDE ITG Förderpreis, and the 2015 Leonard G. Abraham Prize of the IEEE COMSOC. He received the WCNC'2014 best paper award and has been nominated as an Exemplary Reviewer 2012 for the IEEE Communication letters.
Research and Innovation Director for Smart Energy at T-Labs
Heiko Lehmann is Research and Innovation Director for Smart Energy at T-Labs, the central R&D unit of Deutsche Telekom. Trained a physicist, he received a PhD in Theoretical Physics from Humboldt University Berlin in 1992. Following postdoctoral academic work at Oxford University and the German National Society for Mathematics and Informatics, he joined the telematics subsidiary of Volkswagen Group in 1999 where he held the position of Innovation Manager. In 2006, Lehmann joined T-Labs where he took over responsibility for a portfolio of innovation projects. Recently, he is focusing on “Artificial Intelligence” functionality in the carrier context. His principal scientific and innovation interests are self-organization, complex systems and optimization in a wide variety of application areas. Lehmann was founding Thematic Area Leader for “Smart Energy” at the European Institute of Technology and Innovation in 2010 and renewed his engagement with the institution in 2014 to 2015. He is a member of several national and international industrial, academic and administrative bodies and discussion groups. Lehmann has published extensively in theoretical physics, informatics, engineering and business topics.
Director of standard and open source planning, ZTE
Wei Meng is director of standard and open source planning at ZTE Corporation for more than 10 years. Wei is an active Project Team Lead (PTL) of OF-CONFIG in Opendaylight. He is mainly engaged in pre-research and development on Networking and AI. He also has a rich experience on SDN, NFV, IPv6, SFC.
Head, Machine Learning Group, Fraunhofer Heinrich Hertz Institute
Wojciech Samek is head of the Machine Learning Group at Fraunhofer Heinrich Hertz Institute, Berlin, Germany. He studied computer science at Humboldt University of Berlin, Heriot-Watt University and University of Edinburgh from 2004 to 2010, was visiting researcher at NASA Ames Research Center, Mountain View, CA, in 2009, and received the Ph.D. degree from the Technische Universität Berlin in 2014. He is associated with the Berlin Big Data Center and is an editorial board member of Digital Signal Processing. He was a co-chair of the 2017 Workshop on Deep Learning and was organizer of workshops on interpretable AI and machine learning at ICANN'16, ACCV'16 and NIPS'17. He has authored more than 80 peer-reviewed journal and conference papers, predominantly in the areas deep learning, interpretable artificial intelligence, robust signal processing and computer vision.
Full Professor, TU Berlin and Head, Wireless Communications and Networks Department
Studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department. Prof. Stanczak has been involved in research and development activities in wireless communications since 1997. In 2004 and 2007, he was a Visiting Professor with RWTH Aachen University and in 2008, he was a Visiting Scientist with Stanford University, Stanford, CA, USA. He is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning. Prof. Stanczak received research fellowships from the German Research Foundation and the Best Paper Award from the German Communication Engineering Society in 2014. He was a Co-chair of the 14th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013). Between 2009 and 2011, he was an Associate Editor of the European Transactions for Telecommunications (information theory) and an Associate Editor of the IEEE Transactions on Signal Processing between 2012 and 2015.
Sarian Viliam K
Professor, Moscow Institute of Physics and Technology (State University) and the Moscow Technical University of Communications and Informatics
Professor, Doctor of Technical Sciences, Honored Worker of Communications of Russia, Science Consultant in Federal State Unitary Enterprise Radio Research and Development Institute (FSUE NIIR). Viliam Sarian is State Prize of Russia winner, has 2 prizes of the Russian Government in science and technology. Author of more than 230 scientific papers and 57 inventions and patents. He has studied at Moscow Electrotechnical Institute of Communications (today Moscow Technical University of Communications and Informatics) and the Faculty of Physics, Moscow State University. He worked in NIIR from 1965 to 1991. During 1992 to 2004 he was the Vice-president of Limited liability company "TV-Inform". Since 2004 he is working in NIIR as Science Consultant. Prof. Dr. V.K. Sarian is professor at the Moscow Institute of Physics and Technology (State University) and the Moscow Technical University of Communications and Informatics. Area of scientific interest of Prof. Dr. Sarian includes the theory of information control networks (ICN), the theory of ICT services, development of the models of limitations of the development of information and communication technologies, development of customized management in emergency situations, IoT and ML etc. Prof. Dr. V. Sarian was elected a foreign academician of the National Academy of Sciences of Republic of Armenia.