Keynote 1:
Decision and control for smart energy communities
Prof. Mariagrazia Dotoli (IEEE Fellow)
Politecnico di Bari, Italy
Abstract
A powerful solution contributing to the green transformation of modern power systems is represented by the so-called energy community. The term ‘energy community’ denotes a community of users (private, public, or mixed) located in a specific reference area, where all stakeholders – such as end-users (e.g., citizens, companies, etc.), market players (e.g., utilities, service providers), practitioners, planners and policy-makers – actively cooperate to develop a ‘smart’ energy system. Independently from the implemented architecture, the success of energy communities relies on the deployment of suitable decision and control mechanisms that efficiently and widespreadly exploit renewable sources and distributed storage, while enabling the application of measures oriented to cost-effectiveness, sustainability, and reliability. In this context, the talk presents innovative decision and control frameworks, such as game-theoretic methodologies, for energy communities composed of heterogenous actors equipped with trading and sharing service oriented energy systems. The effectiveness of the presented approaches is shown through numerical simulations on realistic scenarios.
Biography of Prof. Mariagrazia Dotoli
Dr. Mariagrazia Dotoli (http://dclab.poliba.it/people/mariagrazia-dotoli/) holds a PhD in Electrical Engineering and is a Full Professor in Automatic Control at Politecnico di Bari, Italy, where she is also the Founder and Coordinator of the Italian National PhD Program on Autonomous Systems (DAUSY, http://dausy.poliba.it/phd/), an interuniversity PhD Program with 25 Universities all over Italy. Prof. Dotoli was the Vice Rector for research of Politecnico di Bari and a member elect of the Academic Senate.
She is the founder and director (2012-) of the Decision and Control Laboratory of Politecnico di Bari, Italy http://dclab.poliba.it/ and was the founder and coordinator (2020-2022) of PhD Program on Industry 4.0, Politecnico di Bari, Italy http://phdindustria40.poliba.it/ind/. She is the founder (2012) of Politecnico di Bari spin-off company Innolab S.r.l. (https://www.innolabsrl.it/) She is member of the Executive Board of the Italian MEDITECH competence center for Industry 4.0 https://meditech4.com/ funded by the Italian Ministry for Economic Development.
She has been a visiting scholar at the Paris 6 University, France, and at the Technical University of Denmark. She is currently an expert evaluator of the European Commission and of many more European national research centers.
Her research interests include decision and control approaches for energy systems, smart manufacturing, intelligent logistics, transportation systems and smart cities. She is author of 200+ international publications in these fields, including 1 textbook (in Italian) and 80+ international journal papers. Her h-index in Google Scholar equals 45, with 7000+ citations.
She is a Senior Editor of the IEEE TRANS. ON AUTOMATION SCIENCE AND ENGINEERING and an Associate Editor of the IEEE TRANS. ON SYSTEMS MAN AND CYBERNETICS: SYSTEMS.
She served in the organization of many well-reputed international conferences. Currently, she is the General chair of the 2024 IEEE Conference on Automation Science and Engineering.
Prof. Dotoli has been a member of the IEEE Systems Man and Cybernetics Society (SMCS) for over two decades. She has volunteered in SMCS in several roles, serving as 2016-2020 Editor in Chief of the SMCS eNewsletter, co-chair and founder of the Technical Committee on Intelligent Systems for Human-Aware Sustainability, 2020-2022 member at large of the SMCS Board of Governors, Chair of the SMCS Diversity and Inclusion Committee, and Liaison of SMCS with IEEE TAB Committee on Diversity and Inclusion. She is currently the SMCS Vice President elect for biennium 2023-2024 for Membership and Student activities.
Prof. Dotoli is listed in the world top 2% scientists list for career-long impact and single-year categories in the “Industrial Engineering & Automation” and “Artificial Intelligence & Image Processing” fields in accordance with the well-known standardized citation metrics author database developed by Ioannidis et al., 2022 and released by Stanford University and Elsevier BV.
Keynote 2:
Autoencoder-embedded Evolutionary Algorithmsfor High-dimensional Expensive Optimization Problems
Prof. MengChu Zhou
( Fellow of IEEE, IFAC, AAAS, CAA and NAI)
New Jersey Institute of Technology, USA
Abstract
High-dimensional computationally Expensive Problems (HEPs) in which a single fitness evaluation consumes hours or even days have attracted much attention from both academia and industry. Exponentially expanding search space and complex landscape brought by numerous decision variables make HEPs extremely challenging to be solved by traditional algorithms with limited physical/computational resources. Therefore, an Autoencoder-embedded Evolutionary Optimization (AEO) framework is invented to deal with them. To be specific, high-dimensional search space can be compressed to informative low-dimensional space by using an autoencoder as an effective dimension reduction tool. The search operation conducted in this low-dimensional space facilitates the population in convergence towards the optima. To balance the exploration and exploitation ability during optimization, two sub-populations are adopted to coevolve in a distributed/parallel fashion, wherein one is assisted by an autoencoder and the other undergoes a regular evolutionary process. Dynamic information exchange is conducted between them after each cycle to promote population diversity. Moreover, surrogate models can be incorporated into AEO (SAEO) to further boost its performance by reducing unnecessary fitness evaluation. Compared with the state-of-the-art algorithms for HEPs, AEO shows extraordinarily high efficiency for these challenging problems while SAEO can greatly improve the performance of AEO in most cases, thus opening new directions for various swarm optimization and evolutionary algorithms under both AEO and SAEO to tackle HEPs and greatly advancing the field of high-dimensional computationally expensive optimization. Their recent applications to mobile edge-computing systems, human-cyber-physical systems, and production scheduling are also illustrated.
Biography of Prof. MengChu Zhou
MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and has been Distinguished Professor in Electrical and Computer Engineering since 2013. His research interests are in Petri nets, intelligent automation, AI, Cloud/edge Computing, Internet of Things, big data, web services, and intelligent transportation. He has over 1200 publications including 17 books, 850+ journal papers (650+ in IEEE transactions), 31 patents and 32 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering, and Associate Editor of IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Systems, Man, and Cybernetics: Systems. He was Editor-in-Chief of IEEE/CAA Journal of AutomaticaSinica (2018-2022). He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society, Excellence in Research Prize and Medal from NJIT, and Edison Patent Award from the Research & Development Council of New Jersey. He has been among most highly cited scholars since 2012 and ranked top one in the field of engineering worldwide in 2012 by Web of Science. His present Google citation count is well over 67000 with h-index being 132. He was ranked #99 in the world among the 2023 Top 1000 Scientists in Computer Science in the World by Research.com. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is a Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA), and National Academy of Inventors (NAI).
Keynote 3:
Data-Driven Production, Innovation: Industry X.0
Prof. Farouk Yalaoui
(UTT’s Senior Director, Vice-President of Research,
Director and Founder of Connected Innovation Chair)
Université de Technologie de Troye, France
Abstract
The proposed talk is a part of large work developed since many years with my team at UTT and different collaboration around the world.
In France's Grand Est region, recognized for its evolving industry and innovative practices, a comprehensive, data-informed plenary speech on Industry X.0 is delivered. This speech investigates how data shapes today's production and innovation. It also highlights the challenges introduced by the evolving data-centric Industry X.0.
Transitioning from theoretical insights to real-world applications, the speech delves into modern factory trends, spotlighting the flexible production systems influenced by Industry 4.0. It further examines real-time decision-making techniques, detailing approaches such as offline, online, and semi-online scheduling. Additionally, the Network of Supply Systems (NSS) and its role in shaping digital and sustainable business practices are discussed, emphasizing the alignment of products and strategies with user demands.
The interplay between Data, Information, and Knowledge in production settings is emphasized. The speech examines the traditional 'Big Data' approach and presents the 'Smart Data' perspective as an avenue for enhanced efficiency. In illustrating this, the value and impact of different types of information, especially in task scheduling, are explored. The topic of quality control in Industry X.0 is also broached, focusing on state-of-the-art systems that integrate with cyber-physical production systems (CPPS). The innovative "Meta" quality control concept, leveraging digital twin models, is introduced and contextualized using a case example.
Concluding, the speech underscores the importance of innovation in Industry X.0, ofnew ideas and cross-disciplinary collaboration. There's also a call to reimagine educational approaches in line with Society 5.0 and Industry 5.0 principles. The plenary speech wraps up by envisioning the future trajectory of Industry X.0, championing the intelligent utilization of technology in sync with human skills and evolving societal needs.
Biography of Prof. Farouk Yalaoui
Professor Farouk YALAOUI (https://www.faroukyalaoui.com) is currently a full Professor at Troyes University of Technology (UTT), France, where he is the Senior Director for Research of UTT. He is also scientific director of Industrial Chair “Connected Innovation” of UTT since 2016 https://chaire-connected-innovation.fr/ and https://www.faroukyalaoui.com/ https://orcid.org/0000-0001-7360-2932. He is the former director of LOSI Lab. (Logistiques et Optimisation des systèmes Industriels) of UTT and and former director of Services and Industries of The future of Troyes Institute (ISIFT). He obtained his Engineering degree in Industrial Engineering from the Polytechnics School of Algiers (Algeria) in 1995, his master’s degree in Industrial System Engineering from Polytechnics Institute of Lorraine (Nancy, France) in 1997, his Ph.D. degree in Production Management from the Troyes University of Technology (UTT) in 2000 and followed by a Habilitation à diriger les recherches (Dr. Hab) from Compiegne University of Technology (UTC) in 2006. His research topic focuses on the scheduling problems, system design, operations research, modeling, analysis and optimization of logistic and production systems, reliability and maintenance optimization and on optimization problems in general. He supervised or co-supervised 29 Ph.D thesis and more than 82 projects since 2001. He is founder and partner of OPTA LP SAS company since 2013 http://www.opta-lp.com/fr/.
He is author or co-author of a pattern and more than 550 contributions, publications or communications with 1 patent; 3 books (Ellipses, Hermes-Lavoisier, Willey and Sons), 6 edited books (Springer), 16 book chapters and 10_ papers in journals such as IIE Transactions, European Journal of Operational research, International Journal of Production Economics, IEEE Transactions on Reliability, Reliability Engineering and System Safety, Computer & Operations research, Journal of Intelligent Manufacturing. He also published more than 320 papers in conference proceedings. He had presented 60 invited speeches (seminaries or conferences plenary sessions). He was invited by different universities (11) more than 20 times.
He is member of editor board of the book series "Automation and Control - Industrial Engineering", ISTE Wiley, London, since 2014. He served or serves as editor to 20 International journal Boards: Engineering Applications of Artificial Intelligence (EAAI, Elsevier, IF. 6,212, 2022), The Scientific World Journal as part of the journal's Operations Research subject area (TSWJ), International journal of Supply and Operations Management (IJSOM), British Journal of Mathematics &computer Science (BJMCS), Journal of Risk Analysis and Crises Response (JRACR), Journal., American Journal of Operations Research (AJOR), Industrial Engineering and Management (IEM), Advances in Computer Science and Engineering (ACSE), Modeling and Simulation in Engineering (MSE), Advances in Artificial Intelligence (AAI), International Journal of Applied Logistics (IJAL). He served as guest editor for Journal special issue (Journal of Multiple Valued Logic and Soft Computing, Journal of Intelligent Manufacturing). He is reviewer for more than 36 international journals.
He is founder and member of steering committee of IWOLIA (since 2010) SHEIC (since 2019) and member IESM-MOSIM Steering Committee, since 2019, Membre IFAC/MIM Steering Committee, since 2021. He is advisory Committees/Organizing Committees members of 36 conferences. He is also member of several international conference committees (about 154 conferences) as (INCOM2021, IFAC WC 2020, IEEE ICALT’2019, INCOM 2018, ICINCO 2017, ACIIDS 2017, IEEE SSCI 2016, MIM 2016, INCOM2015, IESM 2015, MIC’2015, SSEMO-WCCI 2014, IEEE-CIPLS 2014, FLINS’14, IEEE-CIPLS 2013, CIIA’2013, EMO13, MIM 2013, CoDIT 2013, ICSENT’2012, IEEM 2012,), member more than 25 organization committees of conferences and general Chair of IFAC MIM 2016. He organized and or Chair more than 115 tracks or sessions in conference.
He is Vice Chair of IFAC (International federation of Automation and Control) TC group 5.2. He is Chair of a Working Group on multiobjective optimization. He is member of IFAC TC group 5.1. He is member of French Universities National Council (CNU) field Automation, Control, Industrial Engineering (section 61). http://losi.utt.fr/fr/membres/yalaoui.html.. He is member and expert for French ANR agency, and for different agency such French AERES Agency, Natural Sciences and Engineering Research Council of Canada (NSERC), Algerian PNR program.
He is member of Algerian Academy of Science and Technology (AAST) since 2015. He obtained of Annual Award 20117 of the IFAC French National Member Organization (NMO). He obtained Outstanding Research Award, IEOM Society International, 14th International Conference on Industrial Engineering and Operations Management in Dubai. This prestigious award, presented by Prof. Eldon Glen Caldwell Marin, Prof. Ahad Ali and Prof.Don Reimer acknowledges Prof. Yalaoui's exceptional leadership and his significant contributions to industrial engineering and operations management. February 2024.