Keynote Speaker I

Prof. Marco Claudio Campi, University of Brescia, Italy (IEEE Fellow)

Marco Claudio Campi is a professor of control and inductive methods at the University of Brescia, Italy, where he has taught topics related to data-driven methods, systems theory and inductive reasoning for more than twenty-five years. He has been a distinguished lecturer of the Control Systems Society on three terms and has served IFAC as chair of various committees, including the Technical Committee on Modeling, Identification, and Signal Processing (MISP). He is the recepient of the "Giorgio Quazza" prize and, in 2008, he received the IEEE CSS George S. Axelby award for his article "The Scenario Approach to Robust Control Design". He has delivered plenary addresses at major conferences, among which CDC, MTNS, and SYSID. Marco C. Campi is a Fellow of IEEE and a Fellow of IFAC. His research interests include: data-driven decision making, stochastic control, epistemology, and the foundations and interpretation of probability theory.

 

 

Keynote Speaker II

Prof. Yongduan Song, Chongqing University, China (IEEE Fellow)

YONGDUAN SONG is currently the Dean of the School of Automation, Chongqing University, the Dean of the Artificial Intelligence Research Institute of Chongqing University, an IEEE Fellow, an Academician of the International Eurasian Academy of Sciences. He is a Registered Professional Engineer (USA). He has published 12 monographs and 300 papers. He also holds more than 60 patents. He served/has been serving as Associate Editor for several internationally renowned academic journals, including IEEE Trans. On Automatic Control, IEEE Trans. on Intelligent Transportation Systems, etc. He is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems. His current research interests include advanced control theory, artificial intelligence and the related applications.

 

 

Keynote Speaker III

Prof. Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway

(IET Fellow, ACM Distinguished Member, IEEE Senior Member)

Jerry Chun-Wei Lin currently serves as a full professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences in Bergen, Norway. He has published more than 500 research papers in peer-reviewed journals (more than 75 ACM/IEEE journals) and international conferences. His research interests include data mining, soft computing, deep learning/machine learning, security and privacy, optimization, fintech, and IoT applications. He is Editor-in-Chief of the Data Science and Pattern Recognition (DSPR) journal, Associate Editor for 11 SCI journals including IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), IEEE Transactions on Cybernetics (IEEE TCYB), Information Sciences (INS) and others. He has served as a guest editor for more than 60 SCI journals, including some top-tier journals in ACM and IEEE, e.g., ACM TOIT, ACM TALLIP, ACM TMIS, ACM JDIQ, IEEE JBHI, IEEE TII, IEEE TFS and IEEE TITS. He is the co-leader of the well-known SPMF project, which provides more than 200 data mining algorithms and has been cited in many different applications (about 1000 citations). He was also recognized as the most cited Chinese researcher by Elsevier/Scopus in 2018, 2019, 2020, and 2021, and as a top-2% scientist in 2020 and 2021 by the report of the Stanford University. He was also recognized as one of the top-10 most productive researchers in Norway in 2021. He is a Fellow of IET (FIET), ACM Distinguished Scientist, and IEEE Senior Member.

 

 

Keynote Speaker IV

Prof. Mohan Lal Kolhe, University of Agder, Norway

Prof. Dr. Mohan Lal Kolhe is a full professor in smart grid and renewable energy at the Faculty of Engineering and Science of the University of Agder (Norway). He is a leading renewable energy technologist with three decades of academic experience at the international level and previously held academic positions at the world's prestigious universities, e.g., University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc. In addition, he was a member of the Government of South Australia’s first Renewable Energy Board (2009-2011) and worked on developing renewable energy policies.

Professor Kolhe is an expert evaluator of many prestigious international research councils (e.g., European Commission: Erasmus+ Higher Education – International Capacity Building, Royal Society London (UK), Engineering and Physical Sciences Research Council (EPSRC UK), Cyprus Research Foundation, etc.). In addition, many international organizations have invited him to deliver keynote addresses, expert lectures, workshops, etc. He has also been a member of many academic promotional committees.

Professor Kolhe has successfully won competitive research funding from the prestigious research councils (e.g., Norwegian Research Council, EU, EPSRC, BBSRC, NRP, etc.) for his work on sustainable energy systems. His research works in energy systems have been recognized within the top 2% of scientists globally by Stanford University’s 2020, 2021 matrices. He is an internationally recognized pioneer in his field, whose top 10 published works have an average of over 175 citations each.