Queen’s University Belfast , UK
Dr Michalis Matthaiou is currently a Professor of Communications Engineering and Signal Processing and Deputy Director of the Centre for Wireless Innovation (CWI) at Queen’s University Belfast, U.K. During his 17-year career, he has developed innovative solutions for 4G/5G/6G wireless communications underpinned by 230 research papers and multi-million competitive funding. Dr. Matthaiou and his coauthors received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2017. He currently holds the ERC Consolidator Grant BEATRICE (2021-2026) focused on the interface between information and electromagnetic theories. He was awarded the prestigious 2018/2019 Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship and also received the 2019 EURASIP Early Career Award. His team was also the Grand Winner of the 2019 Mobile World Congress Challenge. He was the recipient of the 2011 IEEE ComSoc Best Young Researcher Award for the Europe, Middle East and Africa Region and a co-recipient of the 2006 IEEE Communications Chapter Project Prize for the best M.Sc. dissertation in the area of communications. He has co-authored papers that received best paper awards at the 2018 IEEE WCSP and 2014 IEEE ICC and was an Exemplary Reviewer for IEEE Communications Letters for 2010.
Speech Title: Cell-free massive MIMO meets OTFS modulation.
Abstract:Orthogonal time-frequency space (OTFS) modulation is a new powerful modulation scheme, that has shown significant efficiency in dealing with the high Doppler problems occurring in OFDM modulation. By leveraging the 2D inverse symplectic finite Fourier transform (ISFFT), OTFS multiplexes the information symbols in the delay-Doppler (DD) domain rather than in the time-frequency (TF) domain as in OFDM modulation. In this presentation, we will present the first ever combination of cell-free massive MIMO with OTFS modulation starting from basic principles and moving into advanced signal processing techniques.
Prof.Ren C. LUO
National Taiwan University , Taiwan
Prof. Ren C. Luo, Fellow of IEEE, received Dipl.-Ing and Dr.-Ing degrees in EE from TU Berlin, Germany. He is CTO of FFG-Fair Friend Group Company and Irving T. Ho Chair Professor at National Taiwan U., Current EiC of IEEE Trans on Industrial Informatics (JIF 10.215). He was President and Dean of Eng. National Chung Cheng University, also was President of IEEE Industrial Electronics Society. He was a Professor of North Carolina State U, Raleigh, USA and Toshiba Chair Professor at U. of Tokyo, Japan. His research interests include AI enhanced intelligent robotic systems, multi-sensor fusion, advanced manufacturing automation systems. He has authored more than 530 papers on international refereed Journals and refereed international conferences and patents. Prof. Luo’s scholarly achievement has received international recognition in the field and received numerous major significant awards including IEEE Eugene Mittlemann Achievement Award, ALCOA outstanding Engineering Research Award etc.
Speech Title: AIoT and Robotics Driving Paradigm Shift of Intelligent Manufacturing Automation
Abstract: As the recent technology evolving, in which Artificial Intelligence, Internet of Things, Robotics, Intelligent Manufacturing and Digital Economy are included. Due to facing aging society, the industry encountered lack of skilled labors and increased /salary wages, the need of AI and IoT (AIoT) enhanced autonomous mobile robot (AMR), autonomous mobile industrial robot (AMIR) and manufacturing automation become obvious. Amazon, Google and Microsoft are investing in AIoT and intelligent robotics technology. Others are likely to follow, further stimulate investment and innovation.
AI0T becomes important core technological soft power which have a wide spectrum of applications including warehousing and logistic systems, robot integrated manufacturing automation, industrial cyber-physical systems (iCPS). etc. The aforementioned issues, challenges and opportunities will be the focus of this presentation including exemplary best practices and research results with video demo at our NTU International Center of Excellence on Intelligent Robotics and Automation Research.
Keywords: AI and IoT (AIoT), Industrial Cyber-Physical Systems (iCPS), Autonomous Mobile Robot (AMR), Autonomous Mobile Industrial Robot (AMIR),Intelligent Manufacturing and Automation
Kaunas University of Technology, Lithuanian
Robertas Damaševičius received his Ph.D. in Informatics Engineering from Kaunas University of Technology (KTU) in 2005. Currently, he is a Professor at Software Engineering Department, KTU. He is also Professor at Department of Applied Informatics, Vytautas Magnus University, Kaunas; and Adjunct Professor at Faculty of Applied Mathematics, Silesian University of Technology, Poland. He is the author of over 400 papers as well as a monograph published by Springer. He is also the Editor-in-Chief of the Information Technology and Control journal and has been Guest Editor of several invited issues of international journals (IEEE Access, Biomed Research International, Computational Intelligence and Neuroscience, Journal of Universal Computer Science).
McMaster University , Canada
Prashant Mhaskar is a professor in the department of Chemical Engineering at McMaster University. His research interests include nonlinear model predictive control and fault tolerant control and data driven batch process modeling and control. Research results from Dr. Mhaskar have resulted in over 100 journal articles, and two monographs. He enjoys teaching, mentoring and learning from his HQP and has supervised 16 Phd, 11 MASc and over 40 undergraduates students so far and currently works with 9 Phd, 4 Masters and 4 undergraduate students. His research on data driven (and hybrid model based) control has been fueled by and developed in collaboration with industrial partners such as Johnson Controls Inc., Praxair Inc., Hydromantis, Sartorius Inc., Corning Inc., Imperial Oil and Honeywell. Over his career he held the Canada Research Chair in Nonlinear and Fault-Tolerant Control and currently holds the McMaster University Scholar award. He was awarded the D.G. Fisher award in 2022. He has served on and chaired the discovery grant committee in the past and presently serves as an Associate Editor for Automatica.
Speech Title: From State Space Models and Nonlinear Control to Data Driven Modeling and Control: A perspective
Abstract: This talk will present Dr. Mhaskar’s perspectives on commonalities and differences between state space model based nonlinear control and data driven modeling and control, primarily focusing on recent results from his group on data driven modeling and control of batch and batch like processes. The talk will conclude with exploring the place of Neural Network based modeling and control in the context of process systems engineering.