Dr. Milan Tuba, ProfessorVice Rector for International Relations, Singidunum University, Serbia
Speech Title: To be updated
Abstract: To be updated
Biography: Milan Tuba is the Vice Rector for International Relations, Singidunum University, Belgrade, Serbia and was the Head of the Department for Mathematical Sciences at State University of Novi Pazar and the Dean of the Graduate School of Computer Science at John Naisbitt University. He is listed in the World's Top 2% Scientists by Stanford University in 2020 and 2021.
He received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph. D. in Computer Science from University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A. first at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University and later as Assistant Professor of Electrical Engineering at Cooper Union School of Engineering, New York. During that time he was the founder and director of Microprocessor Lab and VLSI Lab, leader of the NSF scientific projects and theses supervisor. From 1994 he was Assistant Professor of Computer Science and Director of Computer Center at University of Belgrade, from 2001 Associate Professor, Faculty of Mathematics, University of Belgrade, from 2004 also a Professor of Computer Science and Dean of the College of Computer Science, Megatrend University Belgrade. He was teaching more than 20 graduate and undergraduate courses, from VLSI Design and Computer Architecture to Computer Networks, Operating Systems, Artificial Intelligence, Image Processing, Calculus and Queuing Theory. His research interest includes nature-inspired optimizations applied to image processing, computer networks, and neural networks. Prof. Tuba is the author or coauthor of more than 200 scientific papers and editor, coeditor or member of the editorial board or scientific committee of number of scientific journals and conferences. He was invited and delivered around 60 keynote and plenary lectures at international conferences. Member of the ACM, IEEE, AMS, SIAM, IFNA, IASEI.
Dr. Nikolaos M. Freris, ProfessorVice Dean of the International College; School of Computer Science, University of Science and Technology of China (USTC)
Speech Title: Communication-efficient distributed machine learning for AIoT
Abstract: The ever-emerging paradigm of AIoT targets solutions that capitalize on the computational power of Internet-of-Things (IoT) devices to enable Artificial Intelligence (AI) in system operations. This is accomplished by shifting away from centralized cloud computing to decentralized edge computing.
To this end, distributed optimization is the workhorse tool for machine learning in a multi-agent network. Despite the large body of work on the subject, it is imperative to devise new methods tailored to address the distinctive challenges of AIoT systems such as: a) huge-scale, b) stringent constraints on communication and latency, and c) heterogeneity in terms of device computational capabilities as well as data distributions.
This keynote seminar will present a novel framework for distributed optimization based on operator splitting that specifically targets communication efficiency and adaptability to user heterogeneity. The product is a range of asynchronous algorithms (first and second order) for both convex and non-convex problems with rigorous analysis in terms of convergence rate and communication costs. In particular, I will present a new method for federated learning (distributed deep learning in large heterogeneous networks) with state-of-the-art performance in terms of convergence speed, communication savings, and accuracy.
Biography: Nick Freris is Professor in the School of Computer Science at USTC, and Vice Dean of the International College. He received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece, in 2005, and the M.S. degree in Electrical and Computer Engineering, the M.S. degree in Mathematics, and the Ph.D. degree in Electrical and Computer Engineering all from the University of Illinois at Urbana-Champaign (UIUC) in 2007, 2008, and 2010, respectively. His research lies in AIoT/CPS/IoT: machine learning, distributed optimization, data mining, wireless networks, control, and signal processing, with applications in power systems, sensor networks, transportation, cyber security, and robotics. Dr. Freris has published several papers in high-profile conferences and journals held by IEEE, ACM, and SIAM and holds three patents. His research has been sponsored by the Ministry of Science and Technology of China, Anhui Dept. of Science and Technology, Tencent, and NSF, and was recognized with the National High-level Talent award, the USTC Alumni Foundation Innovation Scholar award, and the IBM High Value Patent award. Previously, he was with the faculty of NYU and, before that, he held senior researcher and postdoctoral researcher positions at EPFL and IBM Research, respectively.
Dr. Freris is a Senior Member of ACM and IEEE, and a member of CCF and SIAM.
Dr. Catholijn M. Jonker, ProfessorInteractive Intelligence group, Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology, Netherlands
Speech Title: To be updated
Abstract: To be updated
Biography: Catholijn Jonker (1967) is full professor of Interactive Intelligence at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology. Jonker studied computer science, and did her PhD studies at Utrecht University. After a post-doc position in Bern, Switzerland, she became assistant (later associate) professor at the Department of Artificial Intelligence of the Vrije Universiteit Amsterdam. From September 2004 until September 2006 she was a full professor of Artificial Intelligence / Cognitive Science at the Nijmegen Institute of Cognition and Information of the Radboud University Nijmegen. She chaired De Jonge Akademie (Young Academy) of the KNAW (The Royal Netherlands Society of Arts and Sciences) in 2005 and 2006, and she was a member of the same organization from 2005 to 2010. She is a member of the Koninklijke Hollandsche Maarschappij der Wetenschappen andof the Academia Europaea. She was the president of the National Network Female Professors (LNVH) in The Netherlands from September 2013 till January 2016. She served TU Delft for one year as interim head of department for the Design Engineering Department (2014/2015). Catholijn is EurAI Fellow since 2015, and EurAI board member since 2016, EurAI is the European Association for Artificial Intelligence.
Her publications address cognitive processes and concepts such as negotiation, teamwork and the dynamics of individual agents and organizations. In all her research lines Catholijn has adopted a value-sensitive approach. In particular, she works towards intelligent agents that can interact with their users in value-conflicting situations when also meta-values no longer solve the situation. In Delft she works with an interdisciplinary team to create synergy between humans and technology by understanding, shaping and using fundamentals of intelligence and interaction. End 2007 her NWO-STW 1.5 M€ VICI project “Pocket Negotiator” has been awarded. In this project she develops intelligent decision support systems for negotiation. An experimental version of the Pocket Negotiator can be found at:http://ii.tudelft.nl/negotiation/index.php/Pocket_Negotiator.
More speakers will be updated soon...