Invited Speakers

Prof. Takumi Miyoshi
Shibaura Institute of Technology, Japan

Takumi Miyoshi received his B.Eng., M.Eng., and Ph.D. degrees in electronic engineering from the University of Tokyo, Japan, in 1994, 1996, and 1999, respectively. He started his career as a research associate at Global Information and Telecommunication Institute, Waseda University, from 1999 to 2001. He is presently a professor at Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Japan. He was a visiting scholar in Laboratoire d’Informatique de Paris 6 (LIP6), Sorbonne Université, Paris, France, from 2010 to 2011. He received the IEICE Young Researcher’s Award in 2004, the Best Regional Paper Award in IEEE ICCE 2024, the Best Paper Award in APNOMS 2016 and 2020, the Best Short Paper Award in IEICE ICETC 2020, the 20th Best Paper Award in Transactions of Human Interface Society in 2020. His research interests include overlay networks, mobile ad hoc and sensor networks, machine learning, smart cities, and digital twin. He is a member of IEEE and a senior member of IEICE.

 

 

Assoc. Prof. Jie Gong
Sun Yat-sen University, China

Jie Gong received his B.S. and Ph.D. degrees in Department of Electronic Engineering in Tsinghua University, Beijing, China, in 2008 and 2013, respectively. From Jul. 2012 to Jan. 2013, he visited University of Edinburgh, Edinburgh, UK. From Jul. 2013 to Oct. 2015, he worked as a postdoctoral scholar in Tsinghua University. He is currently an associate professor in School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China. He is serving as an editor for IEEE Trans. Green Commun. Netw., IEEE/CIC ICCC 2022 Workshop Co-Chair and Publicity Co-chair for Workshop on Intelligent Computing and Caching at the Network Edge in IEEE WCNC since 2018. He was a co-recipient of the Best Paper Award from IEEE Communications Society Asia-Pacific Board in 2013, and the Best Paper Award of the 5th EAI International Conference on IoT as a Service in 2019. His research interests include Age of Information, reinforcement learning, mobile edge computing and green communications and networking.

 

 

Assoc. Prof. Taku Yamazaki
Shibaura Institute of Technology, Japan

Taku Yamazaki received the B.E. and M.S. degrees in electronic information systems from Shibaura Institute of Technology, Tokyo, Japan, in 2012 and 2014, respectively. He received the D.E. degree in computer science and communications engineering from Waseda University, Tokyo, Japan, in 2017. He was a research associate at Department of Communications and Computer Engineering, School of Fundamental Science and Engineering, Waseda University, from 2015 to 2018. He was an adjunct researcher at Global Information and Telecommunication Institute, Waseda University, Tokyo, Japan from 2018 to 2021. He is presently an assosiate professor at Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan. He received IEICE Network Systems Research Award in 2014, the CANDAR/ASON Best Paper Award in 2014, IEICE Young Researcher's Award in 2015, IEICE Network Software Best Poster Award in 2016, IEICE Network Systems Young Researcher's Encouragement Award in 2018. He is a member of IEEE, ACM, IEICE, and JSEE.

 

 

Assoc. Prof. Pavel Loskot
ZJU-UIUC Institute, China

Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past nearly 30 years, he was involved in numerous collaborative research and development projects, and also held a number of paid consultancy contracts with industry. He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and classical machine learning for multi-sensor data.

 

Speech Title: "Exploiting Approximations in Signal Processing and Machine Learning"

Abstract: The real-world signals often have complex dependencies, so they cannot be easily described by simple models. Approximating signals is one of the basic strategies in devising sensible signal processing methods with sufficient performance. For instance, the regression fitting of models to data is a very common task in machine learning. Other examples include approximating complex multi-dimensional distributions in Bayesian inferences, interpolating values to increase the resolution, extrapolating values in forecasting, and defining learnable functions under additional, e.g., continuity constraints. The approximating functions are usually defined as sequences of parameterized models, which can guarantee a convergence arbitrarily close to the function being approximated, which may not actually be even known. In this talk, I will discuss approximations, and introduce the underlying mathematical foundations that can inspire the existing as well as future methods in signal processing and machine learning.

 

 

Assoc. Prof. Antoine Bossard
Kanagawa University, Japan

Antoine Bossard is a Professor of the Graduate School of Science, Kanagawa University in Japan. He received the BS and MS degrees from Université de Caen Basse-Normandie, France in 2005 and 2007, respectively, and the Ph.D. degree from Tokyo University of Agriculture and Technology, Japan in 2011. Amongst others, he is in charge of the computer architecture and functional programming lectures for undergraduate students, and of a graph theory lecture for master students. He also is responsible for the functional and logic programming lecture at Tokyo University of Agriculture and Technology.
Regarding research activities, Antoine mostly focuses on the following two subjects: interconnection networks (network topologies, routing problems, fault tolerance) and information representation and processing of Chinese characters (e.g. fingerprinting). He is the author of multiple papers in these fields, papers published in international journals and conference proceedings. He has also written several books, for instance for his students of computer architecture and functional programming, and on Chinese characters, with notably a commented translation of the first part of the Dictionarium anamitico-latinum of Jean-Louis Taberd.