革新知能統合研究センター

Date and Time: February 9th 10:00pm – 12:00 pm (JST)
Venue: Online and Open Space at the RIKEN AIP Nihonbashi office*
The Open Space; only available to AIP researchers.
Languarge: English

10:00 pm – 10:40 pm(JST)
Speaker 1: Dr Renato Luís Garrido Cavalcante (Fraunhofer Heinrich Hertz Institute)
Title 1: Nonnegative Neural Networks: Insights from Fixed Point Theory in Thompson Metric Spaces

10:40 pm – 11:20 pm(JST)
Speaker 2: Mateusz Gabor (Wrocław University of Technology)
Title 2: Positive concave deep equilibrium layers

11:20 pm – 12:00 pm(JST)
Speaker 3: Prof. Slawomir Stanczak (Wrocław University of Technology / TU Berlin)
Title 3: ML and AI in 6G: Promising Methods and Research Directions

Bio
Dr Renato Luís Garrido Cavalcante
Renato Luís Garrido Cavalcante received the Electronics
Engineering degree from the Instituto Tecnológico de Aeronáutica, S~ao José dos Campos, Brazil, in 2002, and the M.E. and Ph.D. degrees in communications and integrated systems from the Tokyo
Institute of Technology, Tokyo, Japan, in 2006 and 2008, respectively. He is currently a Group Leader with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany, and a Lecturer with the Technical University of Berlin. He held appointments as a Research Fellow with the University of Southampton, Southampton, U.K., and as a Research Associate with the University of Edinburgh, Edinburgh, U.K. His interests include signal processing for distributed systems, multiagent systems, convex analysis, machine learning, and
wireless communications.
Dr. Cavalcante was a recipient of the Excellent Paper Award from the Institute of Electronics, Information and Communication Engineers in 2006 and the IEEE Signal Processing Society (Japan Chapter) Student Paper Award in 2008. He also co-authored a study that was the recipient of the Best Student Paper Award at the 13th IEEE
International Workshop on Signal Processing Advances in Wireless Communications in 2012. From April 2003 to April 2008, he was a recipient of the Japanese Government (MEXT) Scholarship.

Mateusz Gabor
Mateusz Gabor received the M.Sc. (hons.) degree in computer science, in 2020, from the Wroclaw University of Science and Technology, Wroclaw, Poland, where he is currently working toward a Ph.D. degree in computer science. His current research interests applications of matrix and tensor decompositions, and deep equilibrium models.

Prof. Slawomir Stanczak
Slawomir Stanczak 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 his Dipl.-Ing. degree in 1998 and Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; his Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor of network information theory with TU Berlin and the head of the Wireless Communications and Networks department at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI). 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 250 peer-reviewed journal articles and conference papers in the areas of information theory, wireless communications, signal processing, and machine learning. Prof. Stanczak received research grants 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 associate
editor of the European Transactions for Telecommunications (information theory), associate editor of the IEEE Transactions on Signal Processing between 2012 – 2015, editor of the IEEE Journal on Selected Areas in Communications for the special issue “Machine Learning in Communications and Networks” from 2020 to 2022, and chair of the ITU-T Focus Group on Machine Learning for Future Networks including 5G from 2017 to 2020. Since 2020, Prof. Stanczak is chairman of the 5G BERLIN association, and since 2021 he is the coordinator of the 6G Research and Innovation Cluster and the flagship project CampusOS.

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