Keynote Speakers

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Name: Prof. Michalis Vazirgiannis

Affiliation: Professor & Director of Data Science and Mining Team (DASCIM)

LIX, Ecole Polytechnique

DASCIM web page Personal web page

Topic: Deep Learning for graphs, Graph based NLP, Influence maximization and Social media

Biography:

He holds a degree in Physics and a PhD in Informatics from Athens University(Greece) and a Master degree in AI from Heriot Watt University,Edinburgh (UK). He has conducted research in Frauhofer, Max Planck MPI (Germany), in INRIA/FUTURS (Paris). He has been teaching in AUEB (Greece), Ecole Polytechnique, Telecom-Paristech, ENS (France), Tsinghua, Jiaotong Shanghai (China) and in Deusto University (Spain). His current research interests are on machine/deep learning and combinatorial methods for Graph analysis (including community detection, graph clustering, node embeddings and influence maximization), Text mining (including Graph of Words, word embeddings with applications to web advertising and marketing, event detection and summarization). He has active cooperation with industrial partners in the area of analytics and machine learning for large scale data repositories in different application domains (including recommendations, meeting summarizatiom, influence metrics for scientific and social networks, predictive maintenance and others). He has supervised fifteen completed PhD theses. He has published three books and more than a 160 papers in international refereed journals and conferences. He has organized large scale conferences in the area of Data Mining and Machine Learning (such as ECML/PKDD) while he participates in the senior PCs of AI and ML conferences – such as AAAI and IJCAI, He has received the ERCIM and the Marie Curie EU fellowships, the Tencent “Rhino-Bird International Academic Expert Award” in 2017 and since 2015 he leads the AXA Data Science chair.

Name: Assoc. Prof. Dr. Maode Ma

Affiliation: Associate Professor, School of Electrical and Electronic Engineering, Nanyang Technological University (Singapore)

Topic: Co-maintained Database based on Blockchain for IDSs: A Lifetime Learning Framework

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Biography:

Dr. Maode Ma, Fellow of IET, received his Ph.D. degree in computer science from Hong Kong University of Science and Technology in 1999. Now, Dr. Ma is an Associate Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University in Singapore. He has extensive research interests including network security and wireless networking. Dr. Ma has over 450 international academic publications including more than 220 journal papers and over 230 conference papers. He has delivered more than 70 keynote speeches at various international conferences. He has served as various chairs for over 100 international conferences. He currently serves as the Editor-in-Chief of International Journal of Computer and Communication Engineering and Journal of Communications. He serves as a Senior Editor for IEEE Communication Survey and Tutorials and an Associate Editor for other 2 international academic journals. Dr. Ma is a Senior Member of IEEE Communication Society, and a Member of ACM. He is the Chair of the ACM, Singapore Chapter. He also works as the Education Chair for the IEEE Singapore Section. He has been an IEEE Communication Society Distinguished Lecturer from 2013-2016.

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Name: Asst. Prof. Quang Ngoc NGUYEN

Affiliation: Assistant Professor, Graduate School Fundamental Science and Engineering, Waseda University

European Alliance for Innovation (EAI, in publishing partnership with Springer) Senior Member (awarded to the top 1% in the EAI Community)

Topic: Quantum-Inspired Network Slicing design for Scalable and highly Energy-Efficient Future Communications using Digital Annealer

Biography:

Quang Ngoc NGUYEN received the B.Eng. Degree in Information Technology, Honor Computer Science Program conducted in English from Posts and Telecommunications Institute of Technology (PTIT), Hanoi, Vietnam in 2012, and became one of the youngest Faculty members of the Institute. He received the M.Sc. degree and Ph.D. degree from Waseda University, Tokyo, Japan in 2015 and 2019, respectively. Currently, he is an Asst. Professor with Faculty of Science and Engineering, Waseda University, where he was a Research Associate from 2018 to 2019. He has hosted and participated in many research projects, including the collaborative EU-Japan research projects funded by the European Commission’s Horizon 2020 Programme (e.g., the Green ICN and 5G! Pagoda projects), and the Ministry of Internal Affairs and Communication (MIC) of Japan. His research has also been funded by the Ministry of Economy, Trade and Industry (METI) of Japan, Waseda University, and Fujitsu Ltd. and Fujitsu Lab. His research interests include Network design, Green Networking, Future Internet, wireless communication systems, beyond 5G (B5G)/6G, Internet of Things (IoT), sensor network, data science, Artificial Intelligence (AI), Applied Intelligence, Internet of Vehicles (IoV), combinatorial optimization/multi-objective optimization (MOO), network slicing, Information System, game theory, and technology standardization.

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