IEEE International Conference on Emerging Technologies and Computing

ICETC2025

June 23-26, 2025, Brest-France

Invited Talks

Geometric and end-to-end robot vision-based control

François CHAUMETTE, Inria Senior Research Scientist, France

Abstract: As for humans and most animals, vision is a crucial sense for a robot to interact within its environment. Vision-based robot motion control, also named visual servoing, is a general approach to close the perception-action loop. The aim of this talk is to provide a comprehensive state of the art on the basic concepts, methodologies, and applications. In a first part, the traditional approach based on geometric visual features, such as image points, image moments, or camera-object pose will be described. The more recent end-to-end approach that directly uses the image content without any image tracking nor matching process will be also considered, providing a link to CNN modern methods that use the same inputs. Controling the shape of deformable objects will be also considered.

Keywords: robotics, computer vision, visual servoing

Bio: François Chaumette is an Inria senior research scientist at Irisa in Rennes. He received a PhD in Computer Science from the University of Rennes 1 in 1990. His research interests include robotics and computer vision, especially visual servoing and active perception. He supervised around 35 PhD students and published over 300 journal or conference papers, with the 2002 Best IEEE Transactions on Robotics and Automation Paper Award, the 2019 Best IEEE Robotics and Automation Letters Paper Award, and the 2020 Best IEEE Robotics and Automation Magazine Paper Award. He was Founding Senior Editor of the IEEE Robotics and Automation Letters, member of the Editorial Board of the Int. Journal of Robotics Research, program co-chair of the IEEE Int. Conf. on Robotics and Automation in 2020, and served recently as Senior Editor of the IEEE Transactions on Robotics. He was a panel member for the ERC PE7 Consolidator grants in 2013, 2015, 2017 and 2019. He was recently involved in the H2020 EU Comanoid project. He is IEEE Fellow since 2013.

Renewable Energy Systems: Current Status in the World and Prospects

Soteris A. KALOGIROU, Professor, Cyprus University of Technology, Cyprus

Abstract: This presentation examines the current status of renewables in the world. The presentation starts with some facts about climate change, global warming, and the effects of human activities, such as the burning of fossil fuels on the climate problem. It then outlines of the status of renewables in the world, which includes their shares with respect to conventional fuel use for power and for electricity production alone, and their social dimension in terms of jobs created. Then the basic forms of renewables are examined in some detail, which include solar thermal, both for low and high temperature applications, photovoltaics, hydro power, onshore and offshore wind energy systems and biomass/biofuels. In all these the basic technology is presented followed by the current status, the installed capacity in the last decade, which reveals their upward trend, as well as the prospects of the technology and some new research findings.

Keywords: Renewable energy, solar thermal, photovoltaics, wind energy, hydro power, biomas

Bio: Professor Soteris Kalogirou is at the Department of Mechanical Engineering and Materials Sciences and Engineering of the Cyprus University of Technology, Limassol, Cyprus. In addition to his Ph.D., he holds the title of D.Sc. He is a Fellow of the European Academy of Sciences, Founding Member of the Cyprus Academy of Sciences, Letters and Arts, Member of Academia Europaea and Fellow of International Artificial Intelligence Industry Alliance. For more than 35 years, he is actively involved in research in the area of solar energy and particularly in flat plate and concentrating collectors, solar water heating, solar steam generating systems, desalination, photovoltaics, geothermal energy and absorption cooling. He has a large number of publications in books, book chapters, international scientific journals and refereed conference proceedings. He is Editor-in-Chief of Renewable and Sustainable Energy Reviews, Editor-in-Chief Emeritus of Renewable Energy and Honorary Editor of Energy, and Editorial Board Member of another twenty journals. He is the editor of the book Artificial Intelligence in Energy and Renewable Energy Systems, published by Nova Science Inc., co-editor of the book Soft Computing in Green and Renewable Energy Systems, published by Springer, editor of the book McEvoy’s Handbook of Photovoltaics, published by Academic Press of Elsevier and author of the books Solar Energy Engineering: Processes and Systems, and Thermal Solar Desalination: Methods and Systems, published by Academic Press of Elsevier.

Quantum communication, fundamentals, and technology trends

Kamel BESBES, Professor, IEEE Senior member, Centre for Research on Microelectronics & Nanotechnology, Sousse Technopole, Tunisia

Abstract: Quantum communication represents a paradigm shift in information transfer, leveraging the unique principles of quantum mechanics to achieve unprecedented levels of security, speed and efficiency. Quantum networks are ready to revolutionize future communication technologies, offering new investigation field. This talk will provide an overview of recent breakthroughs in quantum communication, highlighting key concepts like quantum key distribution and teleportation, and exploring the emerging trends in quantum network development. We will discuss the current state of this rapidly advancing field and its potential to reshape global communication infrastructure, such as satellite-based quantum communication and quantum assisted architecture.

Keywords: Quantum fundamentals, Quantum assisted architecture, Quantum communication, Quantum application trends

Bio: Prof. Kamel BESBES is a distinguished researcher and academic with a strong background in microelectronics and nanotechnology. He earned his Master's degree from Ecole Centrale de Lyon in 1986 and his Ph.D. from INSA Lyon, followed by a State Doctorate in Physics from Tunis-Manar University. He joined the University of Monastir in 1989, where he established a thriving research program focusing on microelectronic devices, micro-nano systems, embedded systems, neural networks circuits, emerging technologies, and nanosatellite space programs. His research has resulted in over 300 publications and numerous conference presentations and invited talks. He has supervised over 25 Ph.D. students. Prof. Kamel BESBES's leadership extends beyond research. He founded and directed the Microelectronics and Instrumentation Lab for 15 years. He served as Vice-Dean and Dean of the Sciences Faculty and was a member of the University Board for several terms. He led the Centre for Research on Microelectronics and Nanotechnology (CRMN) for 8 years, driving its strategic development, establishing cutting-edge research platforms, and securing competitive national and international funding. Prof. Kamel BESBES has also played a crucial role in national policy development, serving on committees for higher education reform, scientific research strategy, diploma accreditation, Cybersecurity, Artificial Intelligence clusters and Space National Commission. He is since 2016 involved in H2020 and Horizon Europe-Tunisia association strategic committees.

Software Refactoring: Challenges and Opportunities in the Era of Artificial Intelligence

Mohamed Wiem Mkaouer, Associate Professor, College of Innovation & Technology, University of Michigan-Flint, USA

Abstract: Refactoring is a critical task in software maintenance and is usually performed to enforce better design and coding practices while coping with design defects. The Extract Method refactoring is widely used to merge duplicate code fragments into a new method. Several studies attempted to recommend Extract Method refactoring opportunities using different techniques, including program slicing, program dependency graph analysis, change history analysis, structural similarity, and feature extraction. However, irrespective of the method, most existing approaches interfere with the developer’s workflow: they require the developer to stop coding, analyze the suggested opportunities, and consider all refactoring suggestions in the entire project without focusing on the development context. To increase the adoption of the Extract Method refactoring, in this tutorial, we aim to show the effectiveness of machine learning and deep learning algorithms for its recommendation while maintaining the developer's workflow. Finally, we demonstrate a case study on how LLMs can be useful to recommend the Extract Method refactoring.

Keywords: Software Engineering, Extract Method refactoring, Artificial Intelligence, Machine Learning, Deep Learning

Bio: Mohamed Wiem Mkaouer is currently an Associate Professor in the College of Innovation & Technology at the University of Michigan-Flint. He is the Graduate Director of the Master’s in Software Engineering and the Master’s in Artificial Intelligence. His research interests are at the intersection of Software Engineering and Artificial Intelligence. It includes software quality assurance, and systems refactoring, and he has co-authored over 140 peer-reviewed papers, including works appearing in top venues like TSE, TOSEM, EMSE, CHI, and ASE. Dr. Mkaouer has been PI/Co-PI on $4.5 Million in federally funded projects. He is the recipient of 6 best-paper / presentation awards, and he is the recipient of the Rochester Institute of Technology 2020 GCCIS best-emerging scholar award.

Chip-Wise DSSS-FTN Signaling with time-varying random sequences - A promising solution for covert communications

Pascal Chevalier, Professor, Conservatoire National des Arts et Métiers, Paris, France

Abstract:

Wireless communications with low probability of detection, also called covert wireless communications, arouse growing interest for both military and civilian applications. The main existing solution used in practice to hide a wireless transmission is the well-known direct sequence spread spectrum (DSSS) technology, which suffers from two main limitations: a spectral efficiency loss and a second order (SO) cyclic vulnerability, since a DSSS signal always exhibits SO cyclostationarity, which may be detected by well-suited SO cyclic detectors. A promising solution, introduced very recently, to overcome these two main limitations of a DSSS signal, while keeping all its benefits, is the chip-wise DSSS-Faster-Than-Nyquist (DSSS-FTN) signaling. The first purpose of this presentation is to present the main characteristics of a DSSS-FTN waveform in terms of Spectral Efficiency, PAPR, power and SO cyclic covertness for arbitrary truncated pulse shaping filters, squeezing and spreading factors, for amplitude shift keying (ASK), phase shift keying (PSK) and quadrature amplitude modulations (QAM) symbols, assuming time-varying random spreading codes. The second purpose of the presentation is to give conditions on the spreading factor, for arbitrary values of the squeezing factor, allowing to use a simple matched filter receiver with minimal complexity, while reaching the Nyquist Matched filter bound (MFB) performance. Finally, the chip-wise DSSS-FTN signaling is compared to the classical DSSS-Nyquist signaling through a multi-criteria approach, showing the great interest of the former for efficient covert communications.

Keywords: FTN, DSSS-FTN, PAPR, Multi-criteria, MLSE, Penalized SNR, Time-varying code, ASK, PSK, QAM symbols, Power covertness, SO cyclic covertness, Spectral efficiency

Bio: Prof. Pascal Chevalier (IEEE M-18, SM-20) received the M.Sc. degree from Ecole Nationale Supérieure des Techniques Avancées, Paris, France, in 1985, the DEA degree in automatic and signal processing from Jussieu university (Paris VII), Paris, France, in 1987, the Ph.D. degree from South-Paris University (Paris XI), Paris, France, in 1991 and the Habilitation à Diriger des Recherches degree from Marne-La-Vallée University, Champs-sur-Marne, France, in 2009. Since 1991, he has been with Thales-Communications-Security (now Thales SIX GTS, France), where he has shared industrial activities, teaching activities both in French engineer schools and French Universities, and research activities. Since 2000, he has also been acting as a Technical Manager and an Architect of the array processing subsystem as part of a national program of military satellite telecommunications. He has been a Thales Expert since 2003. Since 2010, he has been with the Conservatoire National des Arts et Métiers, Paris, France, as a Professor holder of the Electronic Chair. His current research interests include signal processing and array processing techniques for spectrum monitoring and digital communications. He is author or co-author of 31 patents and about 160 publications (Journal, Conferences and Chapters of books). He has been a member of the THOMSON-CSF Technical and Scientifical Council between 1995 and 1998. He co-received the 2003 “Science and Defense” Award from the french Ministry of Defence for its work as a whole about array processing for military radiocommunications. Since 2003, he has been an Associate Editor for EURASIP Journal of Wireless Communications and Networking. He has been Co-technical Chairman of ISWCS’12 Symposium. He has been an elected member of the EURASIP Special Area Team related to Signal Processing for Multisensor Systems (2016-2021) and an elected member of the IEEE Sensor Array and Multichannel Technical Committee (2016-2019; 2019-2022). He is an emeritus member of the Société des Electriciens et des Electroniciens.

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