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  • The International Symposium on Automatic Control and Emerging Technologies
    July 11-13, 2023
    Kenitra, Morrocco
    Regular Paper Submission
    December 18, 2022 February 18, 2023

    Keynote speakers
    Electrical and Biological Microgrids- Taking inspiration from Neuroscience
    Prof. Josep M. Guerrero, Aalborg University Danemark.

    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.”

    Extended Kalman Filters for Estimation Problems in Industrial Applications
    Prof. Paolo Mercorelli, Leuphana University of Lueneburg, Germany.

    Short Biography- Professor Paolo Mercorelli received a Ph.D. degree in Systems Engineering from his Alma Mater, Studiorum University of Bologna, Bologna, Italy, in 1998. In 1997, he was a visiting researcher for one year in the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, USA. He received an award from the Marie Curie Actions research fellowship program sponsored by The European Commission in year 1998. Thanks to this scholarship, from 1998 to 2001, Paolo Mercorelli was a postdoctoral researcher with ABB (Asea Brown Boveri) Corporate Research, Heidelberg, Germany. During the Heidelberg period he introduced, for the first time in ABB, software structures based on wavelet packets for fault detection and data reconciliation and he developed industrial trading software using these wavelet packets. He was the inventor cited in three patents in which the applicant was ABB Zuerich. Moreover, these wavelet packet structures were implemented and integrated in the Inferential Modelling Platform of the Advanced Control and Simulation Solution Responsible Unit within the ABB industry division. From 2002 to 2005, he was a senior researcher with the Institute of Automation and Informatics, Wernigerode, Germany, where he was the leader of the control group. From 2005 to 2011, Paolo Mercorelli was an Associate Professor of Process Informatics with Ostfalia University of Applied Sciences, Wolfsburg, Germany. In Wolfsburg, he was involved in various projects with the Volkswagen AG Research Center developing different control systems which have been implemented in production series of vehicles as, for instance, the control algorithms for Intelligent Parking Assist System. Since 2012 he has had the position of Full Professor and Head of the Chair of Control and Drive Systems at the Institute of Product and Process Innovation, Leuphana University of Lueneburg, Lueneburg, Germany. Since 2018 he has obtained an international visiting professor fellowship at the Institute of Automatic Control of Lodz University of Technology (Poland) and he is responsible for two courses at the Master’s in “Automation and Robotics“. In Fall 2019 he was visiting Professor at the University of Miskolc (Hungary) giving lectures at the Master’s and PhD programs. His actual interests include Applications with Kalman Filters, Robotics, Wavelets, Geometric Control, Sliding Mode Control and Application with Sliding Mode Control.

    New Idea, Theory, Principle and Methods for System Identification
    Prof. Feng Ding, Jiangnan University, Wuxi, China.

    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.

    Energy Storage Optimization using different control strategies
    Prof. William Holderbaum, University of Reading, Whiteknights, UK.

    Short Biography- rofessor 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.

    Prof. Ahmed Ouammi, Qatar University, Qatar.

    Short Biography- Professor Ahmed Ouammi holds a Ph.D. degree from the Faculty of Engineering of Genoa, Italy, in 2010. He was a research fellow with the University of Genoa and worked as an Assistant Professor atthe National Centre for Scientific and Technical Research (CNRST). He is currently a Research Associate Professor with Qatar University. His research activities include control and optimization of smart grids, and microgrids, with special focuson the implementation of original methods, models and optimal control algorithms with applications to cooperative and interconnected smart systems integrated renewable energy systems.He published in the last previous 6 years two books, one book chapter and more than 40 articles in international journals and conference proceedings.

    Prof. Rush D. Robinett III, Michigan Technological University, USA.

    Short Biography- Professor Rush D. Robinett III is a Research Professor of Mechanical Engineering at Michigan Technological University. He specializes in nonlinear control and optimal system design of energy, robotics, and aerospace systems. Over the past 15 years, Dr. Robinett has been developing innovative controls and optimization techniques based on exergy concepts. In July 2018, he retired from Michigan Tech University after 5.5 years of service as the Co-Director of the Agile and Interconnected Microgrids Center, the Director of Research, and the Richard and Elizabeth Henes Chair Professor in Mechanical Engineering-Engineering Mechanics.In January 2013, he retired from Sandia National Laboratories after 25 years of service as the Senior Manager of the Grid Modernization and Military Energy Systems Group focusing on the research and development of microgrids and networked microgrids. During his 25 year career, Dr. Robinett worked on ballistic missile defense, spacecraft systems, glide weapons, teams of robots, and renewable energy grid integration. He is an associate fellow of AIAA and has authored more than 230 technical articles including 3books and holds 20 patents. Dr. Robinett has three degrees in Aerospace Engineering: a BS and Ph.D. from Texas A&M University and an MS from the University of Texas at Austin.

    Prof. Roberto Sacile, University of Genoa, Italy.

    Short Biography- Professor Roberto Sacile received the Laurea degree in electronic engineering from the University of Genoa, Genoa, Italy, in 1990, and the Ph.D. degree from Milan Polytechnic, Milan, Italy, in 1994. He joined the French National Institute for Research in Computer Science and Control, Sophia Antipolis, France, in 1995. He is currently with the University of Genoa. He is the Head of the joint laboratory between Eni, Rome, Italy (one of the most important petro-chemical companies) and the University of Genoa, focusing on the risk and monitoring of dangerous goods transportation systems. His current research interests include optimization and decision support methodologies, with specific applications to the environmental, logistics, and transport domains, and their sustainability and related risk assessment issues. Prof. Sacile is an Associate Editor of the IEEE SYSTEMS JOURNAL. He has been a Member of the North Atlantic Treaty Organization (NATO) Science for Peace Panel from 2004 to 2011.

    Advanced control of power converters
    Prof. Abdelali El Aroudi , Universitat Rovira i Virgili, Tarragona, SPAIN.

    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.

    Dr. Nadejda Komendantova

    Short Biography- Dr. Nadejda Komendantova is a group leader at the International Institute for Applied Systems Analysis (IIASA) where she leads the Cooperation and Transformative Governance (CAT) Group. The group is dealing with systems-level transformations and key transitions for societal resilience and sustainable systems through an enhanced understanding of, and the ability to manage, existing challenges, including social dilemmas and wicked problems of public policy-planning. Dr. Komendantova coordinates and contributes to a number of cooperation projects with other international organizations such as Organization for Security and Cooperation in Europe (OSCE), United Nations Industrial Development Organization (UNIDO), Organization for Cooperation and Development in Europe (OECD), International Anti-Corruption Academy (IACA) and others.
    Dr. Komendantova is a lead author of the draft of the strategy of industrial development of Kyrgyzstan for UNIDO, of the handbook on protection of electricity networks from natural hazards for OSCE, which was translated also into Russian and Arabic languages, contributed to a number of international reports on water-energy nexus, energy security and participatory governance. The work of Dr. Komendantova includes more than 140 publications, among them in the Global Corruption Report (Transparency International), the Global Assessment Report (GAR) report, input papers for the United Nation Office for Disaster Risk Reduction (UNISDR), the chapter on risk governance for the global report issues by the Global Facility for Disaster Reduction and Recovery of the World Bank and contribution to the Global Renewable Energy Report (REN21) as well as a number of other peer-reviewed publications in such journals as Energy Policy, Natural Hazards, Renewable and Sustainable Energies Reviews, International Journal of Disaster Risk Reduction and others. Her work has also been granted awards from the Academic Council of the United Nations as well as the Julius Raab Foundation. She received a number of invitations to speak at high-level forums such as at the Directorate General for Research and Innovation of the European Commission, NATO, Energy Community Secretariat, Energy Charter Forum and OSCE.

    Solving Weld Penetration Monitoring/Control Challenges Using Deep Learning, Model Predictive Control, Human-Robot Collaboration, and Digital Twin Approaches
    Prof. YuMing Zhang, James R. Boyd Professor of Electrical Engineering, University of Kentucky, Lexington, KY 40506, USA.

    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.

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    IBN TOFAIL UNIVERSITY
    NATIONAL SCHOOL OF APPLIED SCIENCES
    BP 241, Kenitra, Morocco
    Phone: (+212) 6 94 50 05 69
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    Email: contact@acet-conf.org


    The International Symposium on Automatic Control and Emerging Technologies (ACET 2023)
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