جست‌وجوی استاد و پژوهشگر

François Baccelliمشاهده پروفایل

استاد مهمان

• Applied Probability
• Stochastic Geometry
• Wireless Networks
• +۴ مورد دیگر

François Baccelli is a Research Director at INRIA Paris and Visiting Professor at Télécom Paris, leading the ERC Advanced Grant NEMO project on network mathematics. He holds a Doctor Honoris Causa from Heriot-Watt University and is a Member of the French Academy of Sciences. His career spans key roles including head of the Simons Center on Communication, Information and Network Mathematics (2012–2019), and faculty positions at École Polytechnique (1991–2003) and the University of Texas at Austin (2012–2021) as Simons Math+ECE Chair. Education: PhD in Applied Mathematics from Université Paris-Sud (1983), advised by Erol Gelenbe. Graduate of Télécom Paris (1977). Research Interests: Baccelli’s work bridges applied probability, stochastic geometry, and network dynamics with applications to telecommunications. He pioneered spatial stochastic networks, stochastic geometry modeling of wireless systems, and max-plus algebra for discrete-event systems. His contributions include foundational theories on queuing networks, Palm probabilities, and latency-constrained system design. Awards & Recognition: 2024 Blackwell Prize (INFORMS Applied Probability Society). 2014 ACM Sigmetrics Achievement Award. 2014 IEEE Stephen O. Rice and Leonard G. Abraham Prizes. Collaborations: Co-founder of the LINCS joint laboratory (INRIA/IMT/Nokia Bell Labs/Sorbonne/SystemX), fostering interdisciplinary research in communications and networks. Supervised numerous graduate students who now lead academic and industrial research globally. Labs & Teams: LINCS laboratory and ERC NEMO project, focused on network mathematics and large-scale system dynamics.

Tijani CHAHEDمشاهده پروفایل

استاد

• Network Optimization
• Edge Computing
• Machine Learning in Networks
• +۴ مورد دیگر

Prof. Tijani CHAHED is a Professor at Telecom SudParis, part of Université Paris-Saclay, affiliated with the SAMOVAR laboratory and the NeSS research group. His work focuses on network optimization, edge computing, machine learning applications in telecommunications, and game-theoretical frameworks for distributed systems. He holds a position in the Department of Computer Science and Telecommunications. His research spans resource allocation in 5G/6G networks, energy efficiency strategies for mobile infrastructure, reinforcement learning for dynamic systems, and coalitional game theory for multi-agent systems. Key contributions include optimization of cache allocation in edge computing, latency-critical traffic management (URLLC), and strategic investment models for distributed computing infrastructures. Selected articles highlight advances in edge computing resource management, metaverse data transport over 5G, and energy-efficient sleep mode control for base stations. His work often intersects with industrial applications in green networks and smart grid integration for mobile infrastructure. Collaborations involve institutions like École Polytechnique, INRIA, and industry partners in telecommunications. Current projects include 6G network architectures, metaverse-enabled edge services, and decentralized resource allocation frameworks. Labs/Teams: SAMOVAR Lab (Signal and Media Access Networks, Optical and Radio Networks), NeSS Group (Networked Systems and Services).

Elise Lavouéمشاهده پروفایل

استاد

• Technology Enhanced Learning
• Human-Computer Interaction
• Gamification
• +۱۲ مورد دیگر

Elise Lavoué is a full Professor in Computer Science at iaelyon School of Management, Jean Moulin Lyon 3 University, and a key researcher at the LIRIS laboratory (CNRS). She leads the SICAL research team and holds leadership roles including Editor-in-Chief of the STICEF journal, member of Labex ASLAN’s management committee, and member of the University of Lyon’s Research Ethics Evaluation Committee (CER-UdL). She is also affiliated with the ATIEF association. Her research focuses on enhancing motivation and engagement in digital learning environments through adaptive gamification, learning analytics, and human-computer interaction. She explores how tailored game elements, emotional awareness tools, and immersive technologies like virtual reality can support self-regulated learning, critical thinking, and skill development in complex digital contexts. Her recent publications span top journals such as IEEE Transactions on Learning Technologies, International Journal of Human-Computer Studies, Computers & Education, and CHI PLAY. These works reflect a strong trend in adaptive and personalized learning technologies, emotion-aware systems, and immersive training environments, particularly in educational and professional settings. Honorable Mention Award at ACM CHI PLAY 2019 (top 4%) Best Industrial Paper award at CSEDU 2020 Elise Lavoué actively supervises PhD students and post-doctoral researchers and leads multiple funded projects including LudiMoodle+, RENFORCE, Lex.gaMe, BODEGA, and Emoviz. These projects involve collaborations with institutions across France and focus on gamification, VR training, emotional dashboards, and vocabulary acquisition. She has secured funding from ANR, Labex ASLAN, CNRS, and other national bodies. Her work emphasizes interdisciplinary collaboration between computer science, education, and social sciences. She is involved in several research teams and labs, primarily the SICAL team within the LIRIS laboratory, a major interdisciplinary research unit in computer science, images, and information systems. Her projects often involve industry partners such as SpeakPlus and Woonoz, and she contributes to both scientific advancement and practical educational innovation.

• Theoretical Deep Learning
• Uncertainty Quantification
• Reliable Artificial Intelligence
• +۱۰ مورد دیگر

Gianni Franchi is an assistant professor at ENSTA Paris , affiliated with the Computer Science and Systems Engineering Unit (U2IS) . His work focuses on theoretical deep learning , with a strong emphasis on uncertainty quantification, robustness, and explainability in machine learning models. Current affiliation: ENSTA Paris (U2IS) Academic rank: Assistant Professor Key collaborators: David Filliat, Emanuel Aldea, Andrei Bursuc, Antoine Manzanera His research spans uncertainty quantification , explainable AI , and reliable machine learning . He investigates methods like Bayesian neural networks, ensemble approaches, and deterministic uncertainty models. His work also addresses domain adaptation , self-supervised learning , and autonomous systems , particularly in trajectory forecasting and semantic segmentation for autonomous driving. Recent publications analyze probabilistic modeling for robustness, symmetry-aware Bayesian methods , and multi-modal datasets like InfraParis. He develops frameworks like Torch-Uncertainty and benchmarks such as MUAD for uncertainty types in autonomous driving. Key themes: Uncertainty Quantification Deep Learning Theory Autonomous Systems Explainable AI Dataset Creation Bayesian Methods

• Operations Research
• Combinatorial Optimization
• Artificial Intelligence
• +۳ مورد دیگر

Omar Rifki is an Associate Professor (Maître de Conférences) specializing in combinatorial optimization and artificial intelligence applications. His research bridges theoretical computer science with practical logistics challenges, focusing on routing problems, process mining, and machine learning integration for complex decision systems. His core research interests include phase transitions in NP-hard problems, vehicle routing optimization under time constraints, and healthcare process modeling. Rifki's work demonstrates a consistent pattern of integrating reinforcement learning with traditional optimization techniques to solve large-scale real-world problems in transportation and logistics, with particular emphasis on spatio-temporal data effects and collaborative systems. Analysis of his 15 publications (2019-2025) reveals three dominant research thrusts: (1) Fundamental studies of combinatorial problem hardness using phase transition frameworks, (2) Practical applications of deep reinforcement learning in vehicle routing and taxi assignment, and (3) Healthcare process optimization through advanced process mining techniques. His work consistently addresses scalability challenges in real-world implementations while maintaining theoretical rigor. No scientific awards were documented in the provided materials. His collaborative work with researchers like Christine Solnon and Thierry Garaix indicates active participation in European operations research communities, though specific grant details remain unreported. Rifki's research shows increasing integration of graph theory and machine learning in transportation applications, particularly evident in his Lyon City case studies on autonomous ride-sharing systems.

Céline Clauzelمشاهده پروفایل

استاد

• Ecological Networks
• Biodiversity Management
• Human-Wildlife Interactions
• +۳ مورد دیگر

Céline Clauzel is a Professor of Geography at the University of Paris 1 Panthéon-Sorbonne and a member of the Laboratory for Social Dynamics and Space Recomposition (LADYSS). She holds a Junior membership in the University Institute of France (IUF, 2023). Her research focuses on spatial modeling of ecological networks, biodiversity management, and human-wildlife interactions, with a geographic emphasis on France, China, and urban environments. Research Projects: Co-leader of the COOLSCHOOLS project (2022–2025) and leader of the INTERFACE project (2022–2023). Key roles in TRAMARE, REAUMUR, and ecological transparency studies for transportation networks. Administrative Roles: Member of LabEx DynamiTe Steering Committee, Scientific Council of the Foundation for Research on Biodiversity (FRB), and elected member of LADYSS laboratory council. Her work bridges ecology and urban planning, emphasizing decision-support tools for biodiversity management. Recent studies explore urban green spaces, wildlife corridors, and citizen science applications in biodiversity monitoring. Awards: Junior IUF membership (2023). Supervises doctoral students focusing on topics like railway permeability, school biodiversity engagement, and connectivity modeling in urban environments. Collaborates with institutions like SNCF, CDC Biodiversité, and the Morvan Regional Natural Park. Active in interdisciplinary initiatives, including co-creating platforms for researchers and practitioners to address ecological challenges in infrastructure and urban development.

Hugues Aschardمشاهده پروفایل

پژوهشگر

• Statistical Genetics
• Genome-Wide Association Studies (GWAS)
• Microbiome Research
• +۷ مورد دیگر

Hugues Aschard is a Principal Investigator and Structure Manager at the Pasteur Institute in Paris, where he leads research in statistical genetics, microbiome analysis, and computational genomics. He is the principal investigator of the MicMat project, the EpiGenCOV Consortium, and several bioinformatics software initiatives including JASS, RAISS, and MGMM. Research Interests: Statistical and computational methods in genetics Genome-wide association studies (GWAS) Gene-environment interactions Microbiome and host genetics in inflammatory bowel disease Genetic epidemiology of infectious diseases like COVID-19 Development of open-source tools for multi-trait and summary-statistic analysis Recent Research Trends: His recent publications and projects emphasize integrative genetic modeling, multi-trait analysis across diverse populations, and the development of novel computational methods to handle missing data and improve SNP discovery. His work bridges statistical innovation with biological and clinical applications in complex diseases. Scientific Contributions: Development of JASS, RAISS, and MGMM software tools Leadership in large-scale consortia like EpiGenCOV Advancing methods for cross-ancestry genetic studies Advising and Collaboration: He supervises multiple PhD students and postdoctoral fellows, including Christophe Boetto, Antoine Auvergne, and Lucas Chataigner. He collaborates with major institutions such as APHP and CNRGH. His team includes research engineers and administrative staff, indicating an active and well-supported research group. Laboratories and Teams: He is a key member of the Biomaterials and Microfluidics team at the Pasteur Institute, where he contributes to interdisciplinary research involving Bayesian decision processes and genetic modeling.

Petros Eliaمشاهده پروفایل

استاد

• Information Theory
• Coding Theory
• Caching
• +۳ مورد دیگر

Professor Petros Elia is a faculty member at EURECOM, holding the position of Professor within the Department of Communications systems. He specializes in Information Theory , Coding Theory , Caching , Distributed Computing , and Wireless Networks , with additional research in Biometrics . His work focuses on advancing theoretical foundations and practical applications in distributed systems and wireless communication efficiency. He received a prestigious ERC Consolidator Grant for his DUALITY project (2016) and a four-year Fulbright Scholarship (1993-1997). He is also a recipient of the Newcom++ Network of Excellence Distinguished Achievement Award (2008-2011) and the Best Student Paper Award at SPAWC 2011, awarded to his advisee Arun Singh. His research explores cutting-edge topics such as tessellated distributed computing , hypergraph decomposition , and topology-aware caching , with recent contributions presented at venues like the IEEE International Symposium on Information Theory (ISIT 2025). His work bridges theoretical advancements with real-world applications in wireless networks and distributed systems. Education: Supported by his Fulbright Scholarship, he pursued studies in the U.S. during 1993-1997. Grants: ERC Consolidator Grant (2016), and others. Advising: Mentor to Arun Singh , whose work earned a student paper award. He actively contributes to teaching Mobile Communications at EURECOM and remains a key figure in advancing the field through interdisciplinary collaborations and leadership in the Communication Systems department.

Jonathan Andrew Crowcroftمشاهده پروفایل

استاد

• Computer Networks
• Distributed Systems
• Opportunistic Communications
• +۷ مورد دیگر

Jon Crowcroft is the Marconi Professor of Communications Systems in the Department of Computer Science and Technology at the University of Cambridge, and serves as the Chair of the Programme Committee at the Alan Turing Institute. He is also a Fellow of Wolfson College, Cambridge, and a visiting professor at the Department of Computing at Imperial College London. With a career spanning over three decades in computer networking research, Professor Crowcroft has made seminal contributions to the development of the Internet and continues to be highly active in cutting-edge research areas. His educational background includes: BA in Physics from Trinity College, University of Cambridge (1979) MSc in Computing from University College London (1981) PhD from University College London (1993) Professor Crowcroft's research spans multiple domains in computer networking and distributed systems. He has worked in Internet support for multimedia communications for over 30 years, with three main focus areas: scalable multicast routing, practical approaches to traffic management, and the design of deployable end-to-end protocols. His current research focuses on opportunistic communications, social networks, and techniques to scale infrastructure-free mobile systems. He is particularly known for his 'build and learn' paradigm for research and has recently been exploring decentralized digital identification systems, smart cities, and edge computing. His work often bridges theoretical foundations with practical implementations, emphasizing privacy-preserving approaches and sustainable network architectures. Professor Crowcroft has received numerous prestigious awards recognizing his contributions to the field, including: Election as Fellow of the Royal Society (2013) ACM SIGCOMM Award (2009) ACM Fellow (2002) Fellow of the Royal Academy of Engineering IEEE Fellow (2004) Chartered Fellow of the British Computer Society Throughout his career, Professor Crowcroft has advised numerous PhD students, including Mark Handley and Pan Hui, who have themselves become influential researchers in the networking community. He has authored several influential books that have been adopted internationally in academic courses, such as 'TCP/IP & Linux Protocol Implementation,' 'Internetworking Multimedia,' and 'Open Distributed Systems.' His research has been supported by various grants and collaborations with both academic institutions and industry partners, contributing to successful startup projects and influencing Internet standards. Professor Crowcroft is actively involved in several research initiatives, including serving on the Scientific Council of IMDEA Networks Institute since 2007 and the advisory board of the Max Planck Institute for Software Systems. He is also a director of the Matrix Foundation, which develops open network protocols. His current research group focuses on privacy-preserving analytics, decentralized systems, and the future of Internet architecture.

• Heterogeneous Catalysis
• Environmental Catalysis
• Materials Science
• +۳ مورد دیگر

Sébastien Royer is a Professor at the University of Lille , affiliated with the Materials for Catalysis (MATCAT) research group within the Unit of Catalysis and Solid State Chemistry (UCCS). His work spans heterogeneous catalysis, environmental applications, and nanomaterials. Research Focus: Heterogeneous catalysis for environmental remediation, CO2 storage, biomass conversion, and pollutant degradation. Key Techniques: Design of metal-organic frameworks (MOFs), perovskite nanostructures, and mesoporous materials. Collaborations: Active in international and national projects, including partnerships with CNRS and academic institutions. His publications emphasize catalytic oxidation of formaldehyde , hydrogenation of alkenes/alkynes , and metal-support interactions . He has contributed to journals like Applied Catalysis B: Environmental and ACS Applied Materials & Interfaces . No students or awards are explicitly listed in the provided data.

Pierre Marquisمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation
• Automated Reasoning
• +۶ مورد دیگر

Pierre Marquis is a distinguished Professor of Computer Science at Université d'Artois , affiliated with the Centre de Recherche en Informatique de Lens (CRIL-CNRS, UMR 8188) . Since December 2024, he has served as the vice-president for research and doctoral studies at Université d'Artois. His research focuses on Artificial Intelligence , particularly knowledge representation , automated reasoning , inconsistency handling , and knowledge compilation , with recent emphasis on Explainable AI (XAI) . Research Interests: Marquis's work spans foundational AI topics including abduction , induction , belief revision , and preference modeling . He has pioneered knowledge compilation techniques to optimize AI tasks and developed frameworks for reasoning under inconsistency through paraconsistent logics and argumentation. His EXPEKTATION chair (2020-2026) under France's national AI program drives his current focus on interpretable machine learning models. Scientific Awards: 2025: CNRS Silver Medal 2022: AAIA Fellow 2017: Senior Member of Institut Universitaire de France (IUF) 2009: EurAI (ECCAI) Fellow Doctoral Students: Mentoring Clément Lens (critical patient monitoring systems) and Mehdi Sabiri (data-knowledge integration for AI explanations). Collaborating with students like Louenas Bounia (formal XAI models) and Romain Wallon (pseudo-Boolean constraints). Grants & Projects: Leads the EXPEKTATION research chair (2020-2026) and participates in ANR PING/ACK (2019-2023), ANR THEMIS (2021-2025), CNRS IRP MAKC (2020-2024), and H2020 TAILOR (2020-2024). Previously led PIA4 MAIA (2023-2032) and Pint (2022-2023). Labs & Teams: Active in CRIL-CNRS, contributing to PyXAI (Python XAI library) and d4 (model counting), while mentoring teams on consensus belief merging and dynamic constraint processing .

• Contemporary History
• Genocide Studies
• Media History
• +۳ مورد دیگر

François Robinet serves as a Lecturer in Contemporary History at the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), where he is an elected member of the Council of the Institute of International Cultural Studies. He concurrently directs the Graduate School of Humanities and Heritage Sciences at the University of Paris-Saclay and holds appointments with the Laboratory Center for the Cultural History of Contemporary Societies (CHCSC) and the 22nd section of the CNU. Education: Doctor of History (2012) Robinet's research centers on 20th-21st century cultural and political history, with concentrated expertise in the Rwandan Tutsi Genocide, post-colonial Franco-African memory politics, and media history since 1990. His work critically examines French journalistic coverage of African conflicts, international information manufacturing during wartime, and the cultural history of colonial and post-colonial societies. He employs interdisciplinary approaches bridging media studies, genocide research, and digital humanities to analyze historical narratives and memory construction. His 15 most recent publications (2016-2023) reveal consistent thematic focus on Rwandan genocide documentation, Franco-Rwandan historical accountability, and media's role in shaping political memory. Key trends include digital methodologies for genocide archives, analysis of French state-media interactions during crises, and evolving commemorative practices through digital platforms. The work demonstrates increasing engagement with digital humanities tools while maintaining rigorous historical analysis of colonial legacies. No scientific awards were documented in the source material. Robinet coordinates the international RwandaMAP2020 research network mapping genocide documentation sites and serves as Vice-president of the Association for the Development of Cultural History. He is an active member of the Society for the History of Media (SPHM) and editorial board of Le Temps des Médias , demonstrating significant scholarly leadership beyond traditional academic advising. His institutional presence spans laboratory governance (CHCSC), university administration (UVSQ Board of Directors), and major conference organization including the 2014 Rwanda international conference and 2022 International Communication Association pre-conference on empires in media history.

Evripidis BAMPISمشاهده پروفایل

استاد

• Approximation Algorithms
• Energy-Aware Algorithms
• Algorithmic Game Theory
• +۵ مورد دیگر

Evripidis Bampis is a Professor of Computer Science at Sorbonne Université, affiliated with the LIP6 laboratory and the Operations Research (RO) group. He currently serves as the Head of the Master of Computer Science program and leads the AGAPE research group within the GDR Recherche Opérationnelle. His research focuses on approximation algorithms, energy-aware computing, algorithmic game theory, scheduling, and graph problems. He has been actively involved in organizing international conferences and workshops, including co-chairing the International Symposium on Fundamentals of Computation Theory (FCT) in 2021 and 2023, and chairing the Symposium on Experimental Algorithms (SEA) in 2015. His collaborative projects include ANR-funded initiatives such as ALGORIDAM (2020–2024) and ENERGUMEN (2018–2023), which address algorithmic theory and energy efficiency in distributed systems. Bampis has advised numerous PhD students and co-authored influential publications in scheduling and algorithm design. His international collaborations span institutions like the Technical University of Munich, the Chinese Academy of Sciences, and Imperial College London. He maintains a strong presence in academic committees and has contributed to EU-funded thematic networks like APPOL and APPOL II.

Nadjib BRAHIMIمشاهده پروفایل

دانشیار

• Supply Chain Management
• Production Planning and Scheduling
• Operations Research
• +۴ مورد دیگر

Nadjib Brahimi is an Associate Professor at Rennes School of Business, specializing in Supply Chain Management and Operations Research. He holds a PhD in Production and Logistics Systems from Université de Nantes and has extensive academic experience, including roles as Academic Head of the Supply Chain Management & Information Systems department (2019–2020) and Programme Manager of the MSc in Data and Business Analytics. His expertise spans Production Planning, Supply Chain Optimization, and Reconfigurable Manufacturing Systems. Education: PhD in Production and Logistics Systems, Université de Nantes, 2004 M.Sc. in Automatic Control and Applied Computing, Ecole Centrale de Nantes, 2001 Engineering Degree in Electronics and Electrical Engineering, National Institute of Electronics and Electrical Engineering, Boumerdes, Algeria, 1999 Research Focus: His work emphasizes optimization of production systems, reconfigurable manufacturing, and sustainable supply chains. Key areas include task reassignment in assembly lines, biomass supply chain design, and disruption resilience strategies. Key Contributions: Over 40 peer-reviewed articles in journals like International Journal of Production Economics and European Journal of Operational Research . Developed robust optimization models for supplier selection and production routing. Advocated for circular economy principles in hybrid manufacturing systems. Labs/Teams: He collaborates with research groups on reconfigurable manufacturing systems and bioenergy supply chain design, contributing to projects in France, UAE, and Algeria.

Margherita Paganiمشاهده پروفایل

استاد

• Artificial Intelligence for Business
• Consumer Behavior and Digital Technologies
• Digital Platforms
• +۳ مورد دیگر

Margherita Pagani is a Full Professor and Director of the SKEMA Centre for Artificial Intelligence at SKEMA Business School in Paris. She holds a Ph.D. in Management and an HDR (Habilitation à Diriger des Recherches). Her roles include Research Affiliate at UC Berkeley’s APEC Study Center and Advisor to the European Economic Social Committee (EESC) on virtual worlds and the Metaverse. Previously, she founded and led the MSc in Digital Marketing & Data Science and the AIM Research Center at emlyon business school. She has held visiting roles at MIT, UCLA, Georgetown, NUS, and Redlands University. Education: Ph.D. (2015, Lyon), HDR (2016, Évry), MSc (1995, Bocconi), MIT Certifications (2005-2006). Research: Focuses on AI in consumer engagement, digital ecosystems, robotics in services, and metaverse applications. Over 130 publications in journals like MIS Quarterly, MIT Sloan Management Review, and Harvard Business Review. Awards: 2023 International Marketing Trends Award, 2022/2023 Top 2% Cited Scientist (Elsevier), 2009 Mobile Marketing Academic of the Year. Her work bridges AI and marketing creativity, emphasizing human-centric systems. She leads initiatives like the SKEMA AI School and organizes conferences on ethics, AI in education, and service recovery. Active in editorial roles for journals like Micro & Macro Marketing and Industrial Marketing Management . Key affiliations include the Association Française de Marketing and involvement in policy initiatives. Supervised over a dozen PhD students, focusing on AI applications in marketing and entrepreneurship.