ACET'23 Keynote speakers

Short Biography- Professor Josep M. Guerrero (S’01-M’04-SM’08-FM’15) received the B.S. degree in telecommunications engineering, the M.S. degree in electronics engineering, and the Ph.D. degree in power electronics from the Technical University of Catalonia, Barcelona, in 1997, 2000 and 2003, respectively. Since 2011, he has been a Full Professor with the Department of Energy Technology, Aalborg University, Denmark, where he is responsible for the Microgrid Research Program (www.microgrids.et.aau.dk). From 2014 he is chair Professor in Shandong University; from 2015 he is a distinguished guest Professor in Hunan University; and from 2016 he is a visiting professor fellow at Aston University, UK, and a guest Professor at the Nanjing University of Posts and Telecommunications. From 2019, he became a Villum Investigator by The Villum Fonden, which supports the Center for Research on Microgrids (CROM) at Aalborg University, being Prof. Guerrero the founder and Director of the same centre. His research interests is oriented to different microgrid aspects, including power electronics, distributed energy-storage systems, hierarchical and cooperative control, energy management systems, smart metering and the internet of things for AC/DC microgrid clusters and islanded minigrids. Specially focused on maritime microgrids for electrical ships, vessels, ferries and seaports. Prof. Guerrero is an Associate Editor for a number of IEEE TRANSACTIONS. He has published more than 500 journal papers in the fields of microgrids and renewable energy systems, which are cited more than 40,000 times. He received the best paper award of the IEEE Transactions on Energy Conversion for the period 2014-2015, and the best paper prize of IEEE-PES in 2015. As well, he received the best paper award of the Journal of Power Electronics in 2016. During six consecutive years, from 2014 to 2019, he was awarded by Clarivate Analytics (former Thomson Reuters) as Highly Cited Researcher. In 2015 he was elevated as IEEE Fellow for his contributions on “distributed power systems and microgrids.”

Short Biography- Professor Feng Ding was born in Guangshui, Hubei Province, China. He received the B.Sc. degree from the Hubei University of Technology (Wuhan, China) in 1984, and the M.Sc. and Ph.D. degrees in automatic control both from the Department of Automation, Tsinghua University (Beijing, China) in 1991 and 1994, respectively. He has been a Professor in the School of Internet of Things Engineering, Jiangnan University (Wuxi, China) since 2004. From 1984 to 1988, he was an Electrical Engineer at the Hubei Pharmaceutical Factory, Xiangfan, China. From 1994 to 2002, he was with the Department of Automation, Tsinghua University, Beijing, China. From 2002 to 2005, he was a Research Associate at the University of Alberta, Edmonton, Canada. He was a Visiting Professor in the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada from May to December 2008 and a Research Associate in the Department of Aerospace Engineering, Ryerson University, Toronto, Canada, from January to October 2009. He has published over 640 papers and 365 SCI indexed papers on system identification and parameter estimation. Sum of Cited Times without self-citations is more than 11000. He has published the book "Adaptive Control Systems" (Tsinghua University Press, Beijing, 2002), and the book "Modern Control Theory" (Tsinghua University Press, Beijing, 2017) He is publishing "The Academic Monograph Series on System Identification": The 1st book "System Identification – New Theory and Methods" (Science Press, Beijing, 2013), The 3rd book "System Identification – Performances Analysis for Identification Methods" (Science Press, Beijing, 2014), The 4th book "System Identification – Auxiliary Model Identification Idea and Methods" (Science Press, Beijing, 2017), The 5th book "System Identification – Iterative Search Principle and Identification Methods" (Science Press, Beijing, 2018), The 6th book "System Identification – Multi-Innovation Identification Theory and Methods" (Science Press, Beijing, 2016). His current research interests include system identification and adaptive control.

Short Biography- Professor William Holderbaum completed his Ph.D. in control engineering from the University of Lille in June 1999. During his Ph.D., he focused on the following topics: hybrid dynamical systems, artificial neural networks, classification, Lyapunov stability, and predictive control. He then took a position as a research assistant at the University of Glasgow in the area of control and Rehabilitation engineering. He has been since lecturer, senior lecturer, and professor of mathematics and engineering at the University of Reading. He has worked at other institutions Aston University and Manchester Metropolitan University as Professor in Control Engineering. His research has focused on control theory and systems modelling with applications. This ranges from highly theoretical contents such Lie group theory and wireless power transfer to practical aspects for example control theory applied to energy saving by using Energy Storage, rehabilitation engineering, and health-related problems. He has been successful in numerous grant applications from different funding bodies such as EU, EPSRC, TSB, KTP, Innovate, and other industries. Over the past twenty years he has over 150 publications and supervised 24 PhDs students and 21 Post-docs and Research Assistant. His interest in research are orientated in control engineering and mathematics, but also to implement the theory to practical problems such as rehabilitation engineering and energy transmission, storage for electrical systems, and robotics.

Short Biography- Professor Ahmed Ouammi holds a Ph.D degree from the Polytechnic School, University of Genova, Italy, in 2011. He was a research fellow with the University of Genova and worked as an Assistant Professor at the National Centre for Scientific and Technical Research (CNRST). He was an Associate Professor at Qatar University. He is currently with the department of electrical engineering, ETS Montreal. His research activities include decision support models, control and optimization of smart grids, microgrids, smart buildings and connected greenhouses with special focus on the implementation of original methods, models and optimal control algorithms with applications to cooperative and interconnected smart systems integrated renewable energy systems.

Short Biography- Professor Abdelali El Aroudi (ORCID: 0000-0001-9103-7762) received the graduate degree in Physical Science from Faculté des Sciences, Université Abdelmalek Essaadi, Tetouan, Morocco, in 1995, and the Ph.D. degree (with honors) from Universitat Politècnica de Catalunya, Barcelona, Spain in 2000. During the period 1999-2001 he was a Visiting Professor at the Department of Electronics, Electrical Engineering and Automatic Control, Technical School of Universitat Rovira i Virgili (URV), Tarragona, Spain, where he became an associate professor in 2001 and a full-time tenure Associate Professor in 2005. He develops his research activity at the Group of Automatic Control and Industrial Electronics of URV. His research focuses essentially on the field of power electronics, specifically on the interconnection of power converters, power processing for renewable energy systems and power distribution for electric vehicles. He has participated in different projects being Principal Investigator of some of them. He has supervised eight doctoral theses and various master theses. He is author or co-author of more than 200 articles in journals with impact factor and conferences, 1 book, several book chapters and one co-edited book. Since February 2021 he is a full professor in same university. He has been involved in different national, and bilateral cooperation projects within his research interests including the areas of control and dynamics of energy management circuits. He has given different invited lectures in Europe, Africa, Latin America and Asia. During 2013-2015 he was the Secretary of the IEEE Circuits and Systems Society Technical Committee of Power and Energy Circuit and Systems (PECAS) and during 2017-2019 he was the President of the same committee. He is currently serving as an Associate Editor of various journals. Recently he ranked among the world's top 2% of scientists in the electrical engineering field according to a recent study from Stanford University.

Short Biography- Hanane Dagdougui (Member, IEEE) received the Ph.D. degree in systems engineering from the Faculty of Engineering of Genova, Genoa, Italy, and the Mines Paris-Tech in France, as part of an international joint Program in 2011. She is currently a Professor with the Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC, Canada. Prior to joining the Polytechnique Montreal in 2017, she was a Research Assistant with the Department of Informatics, Bioengineering, Robotics, and System Engineering, University of Genoa, Genoa, Italy, in 2013. From 2013 to 2016, she was an institutional Researcher with the Department of Electrical Engineering, ÉTS Montreal, Montreal, QC, Canada. She has authored or coauthored in the IEEE TRANSACTIONS ON SMART GRIDS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON CONTROL SYSTEM TECHNOLOGY, and IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING in his research areas, which include the distributed optimization theory and applications of mathematical optimization, the applications of mathematical optimization and machine learning techniques to problems of smart grids, microgrids, and smart buildings, the techno-economic modeling and planning of renewable energy-based systems, demand response, and electric transportation.

Short Biography- Quanmin Zhu is Professor in control systems at the Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK. He obtained his MSc in Harbin Institute of Technology, China in 1983 and PhD in Faculty of Engineering, University of Warwick, UK in 1989. His main research interest is in nonlinear system modelling, identification, and control. He has published over 300 papers on these topics, edited various books with Springer, Elsevier, and the other publishers, and provided consultancy to various industries. Currently Professor Zhu is acting as Editor of Elsevier book series of Emerging Methodologies and Applications in Modelling, Identification and Control

Short Biography- Weicun Zhang is associate professor at the School of Automation and Electrical Engineering, University of Science and Technology Beijing. He obtained his Bachelor Degree of Engineering in Industrial Automation from Shenyang Institute of Technology, MSc degree in Automatic Control (1989) from Beijing Institute of Technology and the Ph.D. degree in Control Theory and Applications (1993) from Tsinghua University, P. R. China. From March 1997 to May 1998, he was a visiting research fellow in Industrial and Operations Engineering Department, University of Michigan at Ann Arbor, From September 2006 to August 2007; he was a visiting professor in Department of Electrical and Computer Engineering, Seoul National University, South Korea.
His research interest includes: self-tuning adaptive control, multiple model adaptive control/estimation for both linear and nonlinear dynamic systems. As representative research work, he established a Virtual Equivalent System (VES) theory for unified analysis (stability, convergence, and robustness) of self-tuning control systems, which is independent of specific control strategy and parameter estimation algorithm. With the help of VES, He proved the stability of weighted multiple model adaptive control system.

Abstract- Welding joins two pieces of metals/materials together through melting their facing interface. Weld penetration quantitively measures the state of this melting and is the most critical parameter determining the integrity of the produced weld, thus the weld quality. Unfortunately, its monitoring and control are challenging as it occurs below the workpiece surface and is not visible. A solution is to use a weld pool image to derive it. Although a deep learning model may extract information that is already there, the raw information may not be sufficient. Hence, a model that is capable of extracting information from dynamic serial weld pool images is needed. To this end, a CNN-LSTM (convolutional neural network combined with long-short term memory one) model is used. This results in that the dynamically changing weld pool is accurately predicted from serial weld pool images. The availability of the feedback allows the penetration to be real-time controlled. As the dynamic process is complex, a model predictive control algorithm has been developed and the penetration is automatically controlled. In addition to such machine based automatic approaches, this talks also demonstrates how human-robot collaboration and digital twin be used to allow human welders to monitor and control the penetration during robotic welding.

Short Biography- Dr. YuMing Zhang is the James Boyd Professor of Electrical Engineering and College of Engineering’s Director of International Partnerships at the University of Kentucky (UK). His research focuses on robotizing welding processes through machine vision-based intelligence and has brought him 12 US patents and over 200 journal publications. His recognition includes Fellow of AWS (American Welding Society), ASME, SME (Society of Manufacturing Engineers), IEEE and AAIA (Asia-Pacific Artificial Intelligence Association). Dr. Zhang is currently an Area Editor for the Journal of Manufacturing Processes published by the SME.