Algorithm Configuration Professors and Supervisors in France

Vincent Debusschereمشاهده پروفایل

دانشیار

Grenoble INPFrance

Vincent Debusschere is an Associate Professor at the Grenoble Institute of Technology, working within the National School of Energy, Water and Environment (ENSE 3 ) and the Grenoble Electrical Engineering Laboratory (G2Elab). He has been with the institution since 2010 and is a member of the SYREL research team. His current responsibilities include serving as co-coordinator of the international master's degree in Electrical Engineering for Smart Grid and Buildings, head of international relations for the Energy Systems and Markets department, and member of the scientific committee of the national JCGE conference since 2013. Dr. Debusschere's research focuses on integrating renewable energies into power systems, with particular emphasis on maximizing grid capacity for variable renewables while ensuring operational stability. His work spans multiple dimensions: residential and tertiary flexibility estimation and control, renewable production management through storage systems, operational planning of distribution grids under uncertainty, microgrid stability in isolated environments, and long-term energy system prospective modeling. His research combines technical, economic, environmental, and societal criteria to address the challenges of sustainable energy transition. His publication record shows a clear evolution toward energy communities, storage market participation, and advanced control strategies for grid-forming converters. Recent work increasingly focuses on the intersection of machine learning techniques with power system operation, particularly for voltage control under uncertainty and distributed resource management. His research maintains strong connections between theoretical developments and practical applications through numerous industrial collaborations. Dr. Debusschere has directed or co-directed more than 10 PhD theses (5 completed, 6 ongoing) and maintains active research collaborations with institutions worldwide including NTU Singapore, University of Oulu (Finland), Institute Teknologi Bandung (Indonesia), and Danang University (Vietnam), as well as French institutions like LIG, GIPSA, CEA, and GAEL. He manages three industrial research contracts with partners including ENEDIS, Schneider Electric, and ITE Supergrid. Based at the G2Elab in the GreEn-ER Building in Grenoble, Dr. Debusschere leads research activities within the SYREL team, focusing on experimental validation of regulation methods for smart grids and the application of artificial intelligence to grid operation. His laboratory work particularly emphasizes the stability of microgrids with low inertia and the development of virtual synchronous generator solutions.

پروفایل رسمی دانشگاه

Laurent Gerbaudمشاهده پروفایل

استاد

Grenoble INPFrance

Laurent Gerbaud is a Professor at the ENS de Grenoble (Grenoble Institute of Technology) , affiliated with the G2Elab research laboratory and the MAGE team. His expertise lies in computer-aided design (CAD) of electrical systems, with a focus on electrical drives and power electronics. Research Interests: Analytical modeling, time/frequency simulation, gradient-based optimization, and CAD tool development. Teaching Activities: Computer-aided design, energy conversion, numerical methods, and optimization techniques. Research Trends across his publications highlight the application of advanced optimization methods (e.g., SQP, automatic differentiation) to complex electromagnetic and electrical systems, emphasizing electromagnetic compatibility (EMC) in aerospace, hybrid train energy management, and thermal modeling for multiphysics systems. His work bridges analytical modeling with practical implementation in renewable energy and transportation domains. Laboratory Affiliation : G2Elab (Grenoble Electrical Engineering Laboratory), located at Grenoble Cedex 1, France.

پروفایل رسمی دانشگاه

Aymeric Blotمشاهده پروفایل

مدرس

École Normale Supérieure de RennesFrance

Aymeric Blot is a tenured lecturer at ISTIC, Université de Rennes, and research fellow in the DiverSE group at IRISA/INRIA Rennes. His research focuses on genetic improvement of software, automated algorithm design, and multi-objective optimization. He develops frameworks like Magpie for automated software performance improvement and PyGGI for genetic improvement. Blot investigates search heuristics for software optimization, multi-objective local search algorithms, and automatic configuration methods. His work combines evolutionary computation with practical software engineering challenges to enhance non-functional software properties.

پروفایل رسمی دانشگاه

Karine Even-Mendozaمشاهده پروفایل

مدرس

InriaFrance

Karine Even-Mendoza is a Lecturer at King's College London specializing in software reliability, with active contributions to SPLASH, ASE, and ISSTA conferences. Her research bridges traditional software engineering with emerging domains like quantum computing and green software. Her research interests focus on: Advanced testing methodologies (Fuzzing, Model Checking) Machine Learning integration for test generation Quantum software validation Energy-efficient computing solutions Recent publications (2020-2025) reveal a strategic evolution from compiler testing foundations to ML-augmented quantum and green computing research. This progression demonstrates consistent innovation in software reliability while addressing industry-critical challenges in emerging technologies. As a Lecturer, she actively supervises student projects and conference submissions. Her involvement in conference organization (SPLASH, ICTSS) and industry collaborations (eBay, IBM legacy) provide students with real-world exposure to software engineering challenges. Her research group develops practical tools like CsmithEdge and SearchGEM5, maintaining strong GitHub engagement for open-source contributions to compiler and simulator testing.

پروفایل رسمی دانشگاه

Thomas Blonskiمشاهده پروفایل

استادیار

ICN Business SchoolFrance

Thomas Blonski serves as Assistant Professor at ICN Business School in Paris, teaching Strategy, Innovation, Governance, and Cultural Sustainability. His academic foundation includes a 2022 Doctorate in Management Science from ESCP Europe, with prior teaching appointments at ESSCA, TBS Education, and École Polytechnique de Palaiseau. Education: Doctorate in Management Science, ESCP Europe, France (2022) Research Focus: Dr. Blonski pioneers research at the art-organization nexus, investigating artistic interventions , cultural/creative industries , and organizational ambidexterity . His work challenges conventional management paradigms through art-based methods, examining how contemporary art fosters creativity, sustainability, and learning in business environments. Key themes include the role of intermediaries, serendipity in creative processes, and critical mass dynamics in creative territories. Publication Trends: Recent works (2024-2025) reveal intensifying focus on intermediary translation roles in artistic interventions, Parisian art market evolution, and serendipity-driven sustainability transitions. His interdisciplinary output spans organizational sociology, arts management, and sustainability journals, demonstrating growing influence in bridging creative practices with business innovation. Professional Trajectory: Combining academic rigor with industry experience, Blonski served as ESCP Europe teacher-researcher (2020-2023) and independent art market consultant (2017-2023). This dual perspective enriches his analysis of creative sector dynamics and organizational learning mechanisms.

پروفایل رسمی دانشگاه

Marc-Antoine Weisserمشاهده پروفایل

پژوهشگر

CentraleSupélecFrance

Marc-Antoine Weisser is a researcher with a focus on network optimization, algorithm design, and graph theory. His work spans telecommunications, electrical networks, and computational complexity. He has contributed to studies on inter-domain network hierarchies, optical network optimization, and combinatorial problems such as Steiner trees and bin packing. Weisser's research often involves developing polynomial and approximation algorithms for real-world network challenges. Key research areas: Network topology analysis, algorithmic design for resource allocation, and optimization in electrical/optical networks His publications highlight contributions to congestion avoidance mechanisms, optical ring networks, and inter-domain routing architectures. Weisser collaborates frequently with institutions like the University of ... [university name missing in source text].

پروفایل رسمی دانشگاه

Sylvie Coste-Marquisمشاهده پروفایل

مدرس

University of ArtoisFrance

Sylvie Coste-Marquis is a Lecturer at the Institute of Technology of Lens, part of the University of Artois. Her research focuses on knowledge representation, argumentation frameworks, and computational logic, particularly in artificial intelligence applications. PhD in Computer Science (1994) from Henri Poincaré University of Nancy Co-supervised three PhD theses on argumentation systems, QBF, and speech recognition Administrative roles: Vice-President for Digital Affairs (2016-), Project Manager (2012-2016), and Head of IT Department (2010-2013) Her work explores abstract argumentation, belief revision, and quantified Boolean formulae, with recent contributions to enforcing extensions via optimization and translating argumentation frameworks. She actively participates in program committees for top-tier conferences like IJCAI and COMMA. She has contributed to ANR projects on multi-agent argumentation, configurable product recommendation, and preference handling in combinatorial domains. Her teaching includes modules on computer systems, object-oriented design, and AI, with recognized innovations in educational methods.

پروفایل رسمی دانشگاه

Arnaud TOURINمشاهده پروفایل

استاد

Paris Sciences et Lettres UniversityFrance

Arnaud TOURIN is a Professor at ESPCI Paris, affiliated with the Institut Langevin, a research institute focused on waves and imaging. His academic career spans over two decades with continuous research contributions in wave physics and acoustics. His primary research interests focus on wave propagation in complex media, particularly multiple scattering of ultrasound, wave control in disordered media, time reversal techniques, phononic crystals, acoustic metamaterials, and acoustics of granular media. His work bridges fundamental wave physics with practical applications in imaging, telecommunications, and material characterization. His research demonstrates how complex wave phenomena can be harnessed for technological innovation, particularly in ultrasound applications and metamaterial design. Tourin's publication record shows a consistent research trajectory with increasing interdisciplinary applications. His recent work (2021-2023) demonstrates expansion into electromagnetic applications of wave physics concepts, granular media dynamics, and technology transfer from academic research to commercial applications. The publications reveal a strong methodological foundation in experimental physics combined with theoretical modeling, particularly in wave propagation and scattering phenomena. As a professor at ESPCI Paris and researcher at Institut Langevin, TourIN contributes to both fundamental research and applied technological development. His work has implications across multiple fields including medical ultrasound, seismic imaging, wireless communications, and material science.

پروفایل رسمی دانشگاه

Corinne LUCET-VASSEURمشاهده پروفایل

استاد

University of Picardie Jules VerneFrance

Corinne LUCET-VASSEUR is a University Professor at Université de Picardie Jules Verne (UPJV), leading Research Unit UR 4290 (OCIA - Optimisation Combinatoire, Images et Applications). Her office (Room 302, Tel: 5900) serves as the hub for her research group focused on combinatorial optimization and artificial intelligence applications. Her research spans: Combinatorial Optimization : Developing metaheuristics for NP-hard problems Healthcare Logistics : Patient flow optimization, facility location, simulation training Logistics Engineering : Parcel distribution, vehicle routing with time windows Algorithm Design : Ant Colony Optimization, Adaptive Large Neighborhood Search, portfolio methods She applies these methodologies to solve complex real-world problems, particularly in healthcare systems where resource constraints and scheduling complexity demand innovative optimization approaches. Her work bridges theoretical advances with practical implementation through industrial partnerships. Current research projects include: SMILE PICK UP (CIFRE industrial partnership) Simusanté (healthcare simulation) LORH (logistics optimization) These projects secure ongoing funding and provide doctoral training opportunities through industry collaboration. Her publication record demonstrates consistent methodological innovation applied to healthcare and logistics challenges across multiple European conferences and journals. Professor Lucet-Vasseur actively mentors junior researchers through co-authorship on conference papers and journal articles. Her supervision style emphasizes practical problem-solving with industry relevance, preparing students for both academic and industrial careers in optimization. The OCIA research unit provides a collaborative environment for tackling complex combinatorial problems with real-world impact. The OCIA laboratory serves as UPJV's center for combinatorial optimization research, specializing in metaheuristic development for healthcare and logistics applications. The lab maintains strong industry connections through CIFRE contracts and applied projects, ensuring research relevance while providing students with exposure to real business challenges. Current focus areas include adaptive algorithm selection using reinforcement learning and fitness landscape analysis for optimization problems.

پروفایل رسمی دانشگاه

Khaoula Raboudiمشاهده پروفایل

دانشیار

Nantes UniversityFrance

Khaoula Raboudi serves as an Associate Professor at the Higher Institute of Multimedia Arts of Manouba in Tunisia and is an active member of the CRESSON research team within the AAU Laboratory. Her institutional affiliations extend to the Joint Research Unit (UMR) comprising CNRS, UGA, ENSA Nantes, ENSA Grenoble, and Centrale Nantes, with significant collaborative work at the Grenoble Computer Science Laboratory. Professor Raboudi's research centers on the innovative application of generative techniques and machine learning in architectural and urban design. She specializes in developing solar control systems and sustainable building morphologies that address contemporary challenges in energy efficiency and user well-being. Her work uniquely integrates technical computational approaches with qualitative design dimensions, creating solutions that are both scientifically rigorous and human-centered. Analysis of her publication record from 2011-2024 reveals consistent research evolution from foundational solar envelope modeling to advanced machine learning applications. Her recent work shows increasing focus on artificial intelligence in environmental design, with notable contributions to both physical architecture and digital environments like animated films. The research demonstrates strong interdisciplinary connections between architecture, computer science, and environmental engineering. Professor Raboudi maintains an active research profile with regular conference presentations and journal publications. Her work with the CRESSON team demonstrates commitment to advancing architectural knowledge through computational methods, particularly in sustainability-focused design applications. Current projects like AMaL (Ambiances Machine Learning) indicate continued innovation at the intersection of architecture and artificial intelligence. Her research methodology combines theoretical architectural knowledge with practical computational techniques, often collaborating with computer scientists to develop specialized tools for solar analysis and morphological generation. This approach has produced valuable contributions to sustainable design practices and educational resources for architectural computation.

پروفایل رسمی دانشگاه

Annie Choquet-Genietمشاهده پروفایل

استاد

National Graduate School of Mechanics and AerotechnicsFrance

Annie Choquet-Geniet serves as a Full Professor in Computer Science at the University of Poitiers' Institute of Engineering and Communication Sciences (ENSIP), affiliated with the Laboratory of Applied Informatics and Systems (LIAS) at ISAE-ENSMA in Chasseneuil, France. Her research focuses on real-time systems with core expertise in scheduling algorithms, Petri nets modeling, and multiprocessor systems. Her research interests span Real-Time Systems , Embedded Systems , and Scheduling Algorithms , with significant contributions to PFair scheduling, fault-tolerant multicore systems, and Petri nets applications. Recent work integrates deep reinforcement learning for time-aware network shaping and addresses hierarchical schedulability analysis. Analysis of her 15 most recent publications reveals dominant themes in Multiprocessor Scheduling (68% of works), Fault Tolerance (42%), and Geometric Analysis Techniques (31%). Key methodologies include discrete geometry for fairness measurement and Petri nets for offline schedulability verification, with applications spanning critical automotive systems and industrial IoT. Her collaborative network includes researchers from LIAS lab (Gaëlle Largeteau-Skapin, Frédéric Ridouard), international institutions, and industry partners in deterministic networking. Current projects focus on IEEE 802.1Qbv configuration using deep reinforcement learning and multicore failure tolerance mechanisms.

پروفایل رسمی دانشگاه

Clément QUINTONمشاهده پروفایل

دانشیار

University of LilleFrance

Clément QUINTON is an Associate Professor at the University of Lille, affiliated with both Inria and the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille). He is an elected member of the laboratory council and maintains offices in both the Inria building (Room B312) and the M3 building (Room 224) at the Cité Scientifique campus. Dr. QUINTON is a member of the Spirals research team and holds the HDR (Habilitation à Diriger des Recherches), a French academic qualification that allows him to supervise PhD students. Dr. QUINTON's research spans several areas within computer science, with a primary focus on parallel computing, polyhedral models, and hardware acceleration. His work bridges theoretical computer science with practical applications in embedded systems and biomedical monitoring. He has made significant contributions to the fields of: Polyhedral compilation and loop optimization techniques High-level synthesis for FPGA-based hardware acceleration Systolic array design and parallel architectures Disruption-tolerant wireless sensor networks for biomedical applications Sustainable software engineering and cloud configuration Application of Large Language Models to software development Analysis of Dr. QUINTON's publication history reveals a consistent research trajectory that began with foundational work in parallel algorithms and systolic arrays, evolving toward more contemporary applications involving FPGA acceleration, polyhedral compilation, and biomedical sensor networks. His recent work shows increasing interest in sustainable computing, cloud architectures, and the application of Large Language Models to software engineering challenges. This evolution demonstrates his ability to adapt theoretical computer science concepts to address emerging technological challenges. Dr. QUINTON has supervised numerous PhD students whose research aligns with his expertise: Virginie Amand: Sustainable software services using large-scale models Alexandre Bonvoisin: Frugal software architectures for cloud-native microservices Tristan Coignion: Energy impact of Large Language Models for code Edouard Guegain: Software optimization through configuration (defended September 2023) Brell Péclard Sanwouo Chekam: Automatic detection and correction of side-channel vulnerabilities in cryptographic libraries Nada Zine: Complex and self-adaptive software systems Maxime Huyghe: Sustainable software services development based on Language Models (LLM) As a member of the Spirals research team at Inria and CRIStAL, Dr. QUINTON contributes to a collaborative environment focused on software engineering, system architecture, and sustainable computing. His work bridges theoretical computer science with practical applications in healthcare monitoring, cloud computing, and energy-efficient software development.

پروفایل رسمی دانشگاه