PhD automatic control
Title: Some Simple But Useful Contributions To Nonlinear
Abstract: In this talk I will address the problem of observer design for nonlinear systems satisfying some nonlinear properties. It is mainly devoted to Linear Matrix Inequality (LMI) based methods and their use to improve observer design for a large class of nonlinear systems. I will speak about LMI relaxation techniques and show why we are motivated to do that. I will show the advantages and the limits of the LMI-based techniques, and how to exploit such advantages, and how to overcome such limits. This will be shown particularly through some simple examples for which LMI approaches cannot work. Hence some guidelines to overcome this limitation will be briefly presented.
A second part of the talk will be dedicated to simple and useful contributions to high-gain observer design, where some techniques to improve performances of the standard high gain observer will be presented. I will show how to use LMIs to reduce the values of the high gain. We will also demonstrate that system state augmentation can allow improving performances of high-gain observer. Finally, prospects will be provided to deal with some new directions on nonlinear observer design by exploiting hybrid estimation architectures and learning-based techniques from Artificial Intelligence based algorithms.
To summarize, this talk will address the following items:
- An introduction to nonlinear observer design: motivation and preliminaries
- LMI-based techniques and feasibility improvements: advantages and limits of LMIs
- Solutions to overcome the limitations: hybrid architectures, and so on
- Simple and useful contributions to high-gain observer
- New directions in nonlinear estimation: some guidelines to improve more the algorithms.
Ali Zemouche received the B.S. degree in mathematics from the Département des Sciences Exactes de Oued-Aissi, University Mouloud Mammeri, Tizi- Ouzou, Algeria, in 2000, the M.S. degree in mathematics, with specialization in operations research, combinatory, and optimization, from the Institut National Polytechnique de Grenoble, Grenoble, France, in 2002, the M.S. degree in mathematics, with specialization in applied analysis and modeling, from the University Picardie Jules Verne, Amiens, France, in 2003. He received the Ph.D. degree in automatic control from the University Louis Pasteur, Strasbourg, France, in 2007, where he did his post-doctoral study in 2008. Dr. Zemouche joined, as Associate Professor, the Centre de Recherche en Automatique de Nancy at Université de Lorraine, since September 2008. He held an academic position at Inria – Saclay (EPI DISCO) from September 2016 to August 2017. His research activities include nonlinear systems, state observers, observer-based control, time-delay systems, robust control, learning-based methods, and application to real-world models. Dr. Zemouche is currently associate editor in leading international journals: SIAM Journal of Control and Optimization, IEEE Transactions on Automatic Control, Automatica – IFAC Journal, European Journal of Control, and IEEE Systems Journal. He is also a member of the Conference Editorial Board of IEEE Control Systems Society since 2013, where he manages a set of papers submitted to IEEE-CDC and IEEE-ACC conferences. He is involved in IFAC Technical Committee TC2.3 (Non-Linear Control Systems).
Title: Fault-Tolerant Scheduling In Large Scale Real-Time
Abstract: One of the key challenges in large scale distributed systems is the effective management of the distributed resources for the incoming workload. Distributed systems are often real-time as they are used for serving delay-sensitive applications. It is important to employ appropriate resource allocation and scheduling techniques in order to meeting deadlines and offer QoS to the users. On the other hand, applications are becoming more and more complex and computationally intensive consisting of multiple tasks. In such real-time systems, it is often more desirable for an application to meet its deadline by producing an approximate—but still of acceptable quality—result, rather than producing a precise result late.
Cloud computing, as a large scale distributed computing paradigm, has been widely used for the deployment of complex computationally demanding and delay-sensitive applications. However, mechanisms to resolve other issues such as fault tolerance are necessary. As the adoption of cloud computing continues to gain momentum, the arising challenges of fault-tolerant scheduling policies for parallel applications on such platforms need to be addressed. Therefore, fault tolerance is one of the most crucial aspects of scheduling in clouds.
Helen Karatza (Senior member, IEEE, ACM, SCS) is a Professor Emeritus in the Department of Informatics at the Aristotle University of Thessaloniki, Greece. Dr. Karatza’s research interests include Cloud, Fog and Mist Computing, Energy Efficiency, Fault Tolerance, Resource Allocation and Scheduling and Real-time Distributed Systems.
Dr. Karatza has authored or co-authored over 240 technical papers and book chapters including six papers that earned best paper awards at international conferences. She served as an elected member of the Board of Directors at Large of the Society for Modeling and Simulation International. She served as Chair and Keynote Speaker in International Conferences.
Dr. Karatza is the Editor-in-Chief of the Elsevier Journal “Simulation Modeling Practice and Theory”, an Editor of “Future Generation Computer Systems” of Elsevier, and an Associate Editor of IEEE Transactions on Services Computing. She was Editor-in-Chief of “Simulation Transactions of The Society for Modeling and Simulation International”, Associate Editor of “ACM Transactions on Modeling and Computer Simulation” and Senior Associate Editor of the “Journal of Systems and Software” of Elsevier. She served as Guest Editor of Special Issues in International Journals. More info about her activities/publications can be found in: https://users.auth.gr/karatza/
Title: Trends In Power Transformer Diagnostic Techniques
Abstract:Power transformers are vital in energy delivering and distributing. Their reliability is a significant guarantee for safe and stable operation of any power grid. Any power transformer outage has a dramatic financial consequence not only for utilities but also for interconnected customers. It is therefore of utmost importance to detect incipient failure to avoid catastrophic blackouts. The Achilles’ heel of these important machines is their insulation system, made of oil and cellulosic paper. Since the service reliability of these machines largely depends upon the condition of their internal insulation system, number of methods were developed/improved to understand and monitor their degradation. During the last decades, ways to prevent electrical outages, extend their life expectancy and improve preventive maintenance procedures have become increasingly important. Varieties of electrical and physicochemical diagnostic techniques were developed so far for insulation condition monitoring of power transformers. This lecture presents a comprehensive review of transformers’ insulation condition assessment including both challenges and outlook circa 2021.
Issouf Fofana: Research Chair on the Aging of Power Network Infrastructure (ViAHT), Université du Québec à Chicoutimi, 555 Boulevard de l’université G7H 2B1, Chicoutimi, QC, Canada
I. Fofana obtained his electro-mechanical engineering degree in 1991 from the University .Felix Houphouët-Boigny (Côte d’Ivoire), and his master’s and doctoral degrees from École Centrale de Lyon, France, in 1993 and 1996, respectively. He was a postdoctoral researcher in Lyon in 1997 and was at the Schering Institute of High-Voltage Engineering Techniques (Leibniz University of Hanover, Germany) from 1998 to 2000. He was a Fellow of the Alexander von Humboldt Stiftung from November 1997 to August 1999. He joined the Université du Québec à Chicoutimi (UQAC), Quebec, Canada as an Associate Researcher in 2000, and he is now a professor there. Prof. Fofana has held the Canada Research Chair, tier 2, of insulating liquids and mixed dielectrics for electrotechnology (ISOLIME) from 2005 to 2015. Actually, he is leading the Research Chair on the Aging of Power Network Infrastructure (ViAHT). At UQAC, he is also director of both the MODELE laboratory and the International Research Centre on Atmospheric Icing and Power Network Engineering (CenGivre). He is the chair of the IEEE DEIS Technical Committee on Dielectric Liquids. Prof Fofana was elected IET Fellow in 2018, ranked in the top 2% of the world’s most cited scientists by Stanford University (USA) and elected IEEE Jidan Chen Award in 2021. He is also member of few work groups (CIGRE and ASTM) international scientific committee member of few IEEE conferences (CEIDP, ICDL, ICHVE, CATCON, etc.), associate editor of few top tier journals (IET GTD, Energies, etc.) and has authored/co-authored over 300 scientific publications including three book chapters, one textbook, edited three books and holds three patents.
Ph.D. in Wireless Communication
Title:How And Why The Ransom Attack On Industrial Control System Of Us Gas Pipeline Was Successful
Abstract:Recently Colonial Pipeline, an American oil pipeline system that originates in Houston, Texas, and carries gasoline and jet fuel mainly to the Southeastern United States, suffered a ransomware cyberattack. The attack triggered the failure of control automation equipment managing the pipeline.
Distributed Control System (DCS) is the extensively used automation control system in the oil and gas industry, and communication systems play a key role as they provide connectivity among the components of distributed control systems. These components demand a high level of cybersecurity for the communication channels. This talk focuses on how the ransom attack leads to the failure of the control automation system in the US Gas Pipeline.
The talk is divided into three sections. Section 1 provides an insight on how security evolved into cybersecurity, and why cybersecurity is such a big concern for DCS. Section 2 introduces a DCS used in the oil and gas industry, and section 3 explains the how’s and why’s of the ransom attack.
The talk will provide food for thought to the students and researchers on how to explore innovative techniques and conduct Cyber Security related research. It will also be beneficial for government policymakers, industry leaders, decision-makers, and corporate researchers.
Dr. Raziq Yaqub an Associate Professor in the EE&CS Department, Alabama A&M University, USA, earned a Ph.D. in Wireless Communication from Keio University, Japan, and an MBA in Marketing from Fairleigh Dickenson University, New Jersey, USA. He is an inventor of technologies in Cybersecurity of Financial Technologies, Wireless Communications, Smart Grid, and Connected Electric Vehicles. He has 34 issued patents, and is a recipient of “Inventor of the Year Award-2014” from the Inventors Hall of Fame, New Jersey. He received an award of “Excellence in Scholarship and Research 2019” from the President of his university, an award of “Innovator Young Faculty” and an award of “Outstanding Engineering Educator” from the Dean of his college, “Outstanding Engineer 2020” award from IEEE region-3, and Professional of the Year 2021 Award from Huntsville Association of Technical Societies.
He remained an Executive Director of Toshiba America Research, New Jersey, to lead 4G/LTE, Department head of NIKSUN University, Princeton, New Jersey, to lead Cybersecurity, and Director of Global R&D of Tecvox, Huntsville, AL, USA, to lead wireless charger and media hubs for the automotive industry. He also remained Sr. Consultant to the State of New Jersey to secure an $87M grant, a spokesperson of Department of Homeland Security in 3GPP”, an invited Researcher in NASA Research Center, Cleveland, Ohio, and an inventor for Wells Fargo, USA.
He also remained Chairman, and contributor in standards organizations such as 3GPP, IEEE, WiMAX, MWIF, OMA, Lead Member for ABET accreditation, Chairman Academic Standards Committee, Chair IEEE Membership Development, Evaluator for technical papers, Ph.D. theses, patents, and grant proposals, Vice Chairman of IEEE Southeast Conference 2019, organizer of numerous international conferences, Invited/Keynote speaker, Panel Moderator/Resource Person in international events. He is a Senior Member of IEEE. He communicates in English, Japanese, Hindi, and Urdu, and has 25 years of experience in the industry, government, and academia.
Ph.D. computer science
Title: Algorithms To Discover Interesting Patterns To Improve The Design Of Intelligent Systems
Abstract:Today, intelligent systems play an important role in various domains such as for factory automation, education, the management of telecommunication networks and medical care. To build intelligent systems, high-quality data is generally required. Moreover, these systems can also yield large amounts of data such usage logs, alarm logs, images, videos, and data collected from sensors, and data received from other systems. Due to the large volumes of data, managing the data generated by intelligent systems to gain insights and improve these systems is thus a key challenge. It is also desirable to be able to extract information or models from data that are easily understandable by humans.
Based on these objectives, this talk will discuss the use of data mining algorithms for discovering interesting and useful patterns in symbolic data generated from intelligent systems. The talk will first briefly review early study on designing algorithms for identifying frequent patterns can be used for instance to identify frequent alarms or faults in telecommunication networks. Then, an overview of recent challenges and advances will be presented to identify other types of interesting patterns in more complex data. Topics that will be discussed include high utility patterns, locally interesting patterns, and periodic patterns. Lastly, the SPMF open-source software will be mentioned and opportunities related to the combination of pattern mining algorithms with traditional artificial intelligence techniques for intelligent systems will be discussed.
Philippe Fournier-Viger is distinguished professor at the Shenzhen University (China). He obtained his Ph.D at University of Quebec in Montreal (Canada) in 2010. After working as post-doctoral researcher at National Cheng Kung University, and being a faculty member at University of Moncton, he came to China in 2015 and became full professor at the Harbin Institute of Technology (Shenzhen). There, he received a title of national talent from the National Science Foundation of China. His interests are data mining, algorithm design, pattern mining, sequence mining, big data, and applications. He has published more than 340 research papers related to data mining, intelligent systems and applications, which have received more than 8500 citations (H-Index 46). He is associate editor-in-chief of the Applied Intelligence journal (SCI, Q1) and editor-in-chief of Data Science and Pattern Recognition. He is the founder of the popular SPMF data mining library, offering more than 200 algorithms for analyzing data, cited in more than 1,000 research papers. He is a co-founder of the UDML, MLiSE and PMDB series of workshops held at the ICDM, PKDD, KDD and DASFAA conferences.
Walid M’Chirgui ,
Enseignant Chercheur à IPEIB Université de Carthage
Title:Le rôle de la Programmation Neurolinguistique pour le
développement d’une Recherche Scientifique créative
Abstract:Le monde de la Recherche Scientifique est certes un monde passionnant, mais qui peut être aussi associé à plusieurs défis :
Comment bien communiquer ? Comment augmenter l’efficacité du travail ? Comment éviter les conflits ? Comment faire pour qu’un encadreur soit une source d’inspiration et non pas une source de stress ? Toutes ces questions s’inscrivent aujourd’hui dans le domaine du développement personnel qui représente un atout majeur pour le développement des compétences des chercheurs. En effet, la PNL (Programmation Neurolinguistique) joue un rôle déterminant pour éliminer les croyances limitantes, les mauvaises habitudes, les blocages psychiques, et installer des croyances aidantes, des bonnes habitudes et une bonne confiance en soi. Le but de cette conférence est de mettre en valeur quelques techniques utilisées en PNL permettant aux chercheurs et aux encadreurs de mieux communiquer afin d’installer un bon environnement permettant une recherche efficace et créative.