Find Academic Supervisors

Laurent PautetView profile

Professor

• Real-Time Systems
• Critical Systems Design
• Embedded Systems
• +7 more

Laurent Pautet is a Professor at Télécom Paris since 2005 and Head of the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). He holds a PhD in Computer Science from Télécom Paris (1993) and an HDR (2001) from Université Pierre et Marie Curie (UPMC). His research focuses on real-time systems, critical systems design, security, and model-based engineering. He leads the ACES team, which addresses challenges in concurrent systems, scheduling algorithms, and safety-critical applications. His academic background includes a PhD supervised by Dassault Electronics and an HDR emphasizing formal methods and distributed systems. His work spans real-time scheduling (e.g., mixed-criticality systems), embedded software reliability, and intrusion detection systems. He has contributed to tools like the Ocarina AADL tool suite and frameworks such as Flex-eWare for embedded distributed systems. Research interests also include cybersecurity threats to intrusion detection systems (IDS), motion control for autonomous vehicles, and application of mixed-criticality scheduling in AI-driven systems like Monte Carlo Tree Search. He actively supervises internships and theses on topics like renewable energy-aware real-time scheduling and 5G NR in SCADA systems. Pautet’s publications span journals like Journal of Systems Architecture and conferences such as RTSS and IEEE CSR. His work bridges theoretical foundations (e.g., linear programming for scheduling) with practical implementations in domains like aerospace and automotive systems.

Leslie G. ValiantView profile

Professor

• Theoretical Computer Science
• Machine Learning
• Computational Complexity
• +3 more

Leslie G. Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University's School of Engineering and Applied Sciences. He holds dual British-American nationality and has been affiliated with Harvard since 1982, prior to which he taught at Carnegie Mellon University, the University of Leeds, and the University of Edinburgh. Valiant earned his PhD in Computer Science from the University of Warwick in 1974, preceded by studies at King's College, Cambridge and Imperial College London. His research focuses on theoretical computer science, including complexity theory (#P-completeness), machine learning (PAC model), holographic algorithms, and computational neuroscience. He pioneered the bulk synchronous parallel processing model and introduced foundational algorithms in automata theory. Notable honors include the ACM Turing Award (2010), Nevanlinna Prize (1986), and Fellowship in the Royal Society. His work bridges computational theory with natural learning processes, as exemplified in his 2013 book on PAC learning principles.

Olivier FercoqView profile

Professor

• Optimization Algorithms
• Primal-Dual Methods
• Coordinate Descent Methods
• +4 more

Olivier Fercoq is a Professor at Télécom Paris, affiliated with the Laboratoire Traitement et Communication de l’Information (LTCI). He holds a PhD in Applied Mathematics from École Polytechnique (2012) and has held academic roles including Assistant Professor (2015–2021) and Postdoctoral positions at Télécom ParisTech and the University of Edinburgh. Education: PhD in Applied Mathematics, École Polytechnique (2009–2012) Master of Research in Optimization, Paris 6 University (2008–2009) Engineer's Degree in Mathematical Engineering, ENSTA-ParisTech (2006–2009) Research Interests: First-order optimization algorithms, primal-dual methods, and coordinate descent Applications in machine learning, web ranking, and chemotherapy optimization Key Achievements: Second Prize of the IMA Leslie Fox Prize (2015) PhD Thesis Award from the Gaspard Monge Programme (2013) Developed software tools like APPROX and contributions to Scikit-learn Teaching: Advanced courses on optimization, machine learning, and signal processing at Télécom Paris and IPP Master’s programs

Vincent MoureauView profile

Researcher

• Combustion Modeling
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +3 more

Vincent Moureau is a CNRS Research Fellow (HDR) at the CORIA laboratory, specializing in advanced computational fluid dynamics and combustion modeling. His research focuses on Large-Eddy Simulation (LES) of turbulent flows, spray dynamics, and thermo-acoustic instabilities in complex geometries. He is a core developer of the YALES2 solver, a high-order unstructured code for multiphase reactive flows. Positions: Research Fellow at CORIA, HDR, and affiliated with INSA de Rouen for teaching. Key Expertise: LES in gas turbines, piston engines, and wind turbines; numerical methods for HPC systems. He has taught courses on numerical methods, aerodynamics, and CFD software training. His work earned awards including the 2018 Grand Prix ONERA and the Digital Simulation Collaboration Award. His research includes industrial collaborations with SAFRAN and INRIA. Labs/Teams: Leads the YALES2 development team and contributes to the SIAME project for exascale computing. Active in the SIAME and MATI projects for aero-thermal systems and combustion modeling.

Laurent GerbaudView profile

Professor

• Computer Aided Design
• Modelling
• Dynamic simulation
• +2 more

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.

Guillaume CharpiatView profile

Researcher

• Machine Learning
• Deep Learning
• Computer Vision
• +8 more

Guillaume Charpiat is a Research Officer at INRIA Saclay and Head of the Data Science department at the LISN laboratory (Paris-Saclay University). He holds a PhD in computer vision from the École Polytechnique (2006), conducted under Olivier Faugeras and Renaud Keriven. His postdoctoral research at the Max Planck Institute for Biological Cybernetics focused on statistical learning. He joined the TAO/TAU team in 2015, specializing in machine learning and optimization. His research spans deep learning theory, neural networks, and applications in satellite imagery, genetics, fluid dynamics, and medical imaging. Education: PhD in Computer Vision (École Polytechnique, 2006), Postdoc in Statistical Learning (Max Planck Institute). Teaching includes advanced deep learning courses at MVA/CentraleSupélec and AI master's programs. Research interests emphasize neural architecture design, generative models, and interdisciplinary applications. His work bridges machine learning with physics and biology, addressing challenges like dynamical systems modeling and population genetics inference. Key contributions include neural architecture growth strategies, equivariant GNNs for materials science, and deep learning frameworks for genomic data. Advised over 20 students across PhD and master's levels, focusing on topics like neural networks, causal discovery, and generative models. Active in seminars and interdisciplinary collaborations, he co-leads the TAU team's research on machine learning and optimization.

• Distributed Computing
• Information Theory
• Machine Learning
• +3 more

Ali Khalesi is a postdoctoral researcher at EURECOM's Communication Systems department, focusing on distributed computing and information theory. His work bridges theoretical advancements with practical applications in multi-user systems and large-scale machine learning frameworks. He holds a PhD in multi-user linearly-decomposable distributed computing, recognized with the 2025 EDITE Best Thesis Award (2nd place). Research Interests: Decentralized computing architectures Efficient distributed algorithm design Applications in large language models Non-linear separability challenges Publications span top venues like IEEE Transactions on Information Theory and ISIT conferences, emphasizing tessellation-based computing, coded mixture of experts, and multi-user system optimization. His work often explores theoretical limits and practical implementations in distributed environments. Awards : 2nd place EDITE 2025 Best Thesis Award His research explores cutting-edge distributed computing paradigms, with particular attention to scalability, security, and efficiency in multi-user scenarios. Current work extends into advanced coding techniques for large-scale machine learning systems.

Eugenio MarinelliView profile

Research Fellow

• DNA Data Storage
• Parallel Computing
• Database Systems
• +2 more

Eugenio Marinelli is a Research Fellow in the Data Science department at EURECOM, specializing in DNA-based data storage systems and high-performance computing. His office is located in room 409, and he can be contacted via phone (8260) or email. Research Focus: His work integrates computer science with molecular biology to develop next-generation storage solutions. Primary interests include: DNA data encoding and error correction for reliable long-term preservation Parallel algorithms for heterogeneous computing architectures (GPUs/XPUs) Columnar database designs optimized for molecular storage Migration-free archival strategies for cloud-scale data lakes His publications demonstrate consistent innovation in DNA storage architectures, with recent work emphasizing error resilience and cross-platform performance. No scientific awards or student advising roles are documented.

Matthieu MartelView profile

Professor

• Green & Frugal Computing
• Precision Tuning
• Scientific Data Compression
• +5 more

Matthieu Martel is a Professor in Computer Science at Université de Perpignan Via Domitia and serves as Vice-President for International & Cross-Border Relations. He leads the Laboratoire de Mathématiques et de Physique (LAMPS) and is a co-founder and scientific advisor of Numalis, a startup focused on reliable numerical computation. His research spans precision tuning, scientific data compression, numerical accuracy, and safety-critical systems. He has advised numerous PhD students and collaborates on projects like Linguatec IA and Numalis . Research Interests: Green computing, precision tuning, neural network validation, embedded systems safety, and abstract interpretation. Recent work includes error-bounded compressed array computations and formal verification of neural networks. Professional Activities: Organizes EJCP 2024 and serves on conference committees (CODIT, CoDaC, ICSRS). Awards include the Best Paper Award at DRBSD 2023 and SC '23 Workshops. Labs & Teams: Active in LAMPS lab and collaborates with Numalis on software tools for reliable numerical computation.

• Grid Computing
• High-Performance Computing (HPC)
• Big Data
• +3 more

Patrick Martineau is a Researcher and lecturer affiliated with the Polytechnic School of the University of Tours (EPU) and the Fundamental and Applied Computer Science Laboratory (LIFAT, UR 6300). He holds roles as Corporate Relations Manager in the IT department of Polytech Tours and CASCIMODOT SF Manager. His teaching focuses on Operating Systems, UNIX, OpenMP, and GPU Parallel Programming. Research interests include Scheduling in Grid Computing, High-Performance Computing (HPC), and Big Data. He is associated with the LIFAT laboratory, contributing to both fundamental and applied computer science research.

• Numerical Methods for Partial Differential Equations
• Fractional Partial Differential Equations
• Inverse Problems
• +3 more

Abdallah BRADJI is a Full Professor of Mathematics at the University of Annaba-Algeria (since January 2015), affiliated with the Department of Mathematics in the Faculty of Sciences. He holds a PhD from Aix-Marseille University (2005) and a French Habilitation (HDR) from Aix-Marseille University (2016). His research focuses on numerical methods for partial/fractional PDEs, inverse problems, and computational modeling with COMSOL Multiphysics. He has held postdoctoral positions at the Weierstrass Institute (Berlin, Germany) and the Nečas Center (Prague, Czech Republic). Teaching roles include lecturing in undergraduate and graduate courses (e.g., Numerical Analysis, Finite Elements, Operational Research) since 1994, with recent responsibilities in Master’s programs in Metallurgy and Process Engineering. He has been invited as a Visiting Professor at Sorbonne University Paris Nord (2024) and LAGA Paris 13 (multiple visits), and has reviewed for prestigious journals like Comptes Rendus (CRAS) and ESAIM:M2AN. Research interests span numerical methods for fluid mechanics, fractional differential equations, and convergence analysis of finite volume/element schemes. His work emphasizes high-order accuracy and stability in complex applications.

Alexandre KhaldiView profile

Associate Professor

• Electroactive Polymers
• Soft Robotics
• Materials Chemistry
• +5 more

Alexandre Khaldi is an Associate Professor at IMT Atlantique’s Optics Department. His research focuses on innovative electroactive polymers for sensing and robotic applications in health and environmental domains. He holds a Master’s in Physico-Chemistry of Polymers (2008, Cergy-Pontoise University) and a Ph.D. in Electronic, Micro, and Nanotechnologies (2012, University of Valenciennes). Notable positions include postdoctoral work at the University of Cambridge (2012–2014) and a Marie Curie Fellowship at Linköping University (2014). His work spans smart microsystems, microrobotics, and porous polymer microparticles for acoustic metamaterials. Current research integrates micro-nano engineering, materials chemistry, and soft robotics to develop autonomous transducing systems. Research interests include electroactive polymers for health/environmental sensing, microfluidics, and smart textiles. His projects address challenges in stretchable electronics, plasmonic nanocrystals, and laser-based microfabrication. He has pioneered textile-based actuators for airflow measurement and electrochromic contact lenses. Khaldi’s methodologies involve advanced fabrication techniques like two-photon polymerization and sacrificial templating. Publications highlight contributions to wearable sensors, microactuator design, and material synthesis. His work bridges fundamental polymer science with applied engineering, emphasizing sustainability and biomedical integration. Ongoing efforts explore proximity effects in laser writing and scalable manufacturing of soft robotic components.

• Combinatorial Optimization
• Operations Research
• Production Systems Planning
• +3 more

Dr. Yassine Ouazene is an Associate Professor at the Université de Technologie de Troyes (UTT, France) since 2014, with an HDR (Accreditation to Supervise Research) from the University of Technology of Compiègne (2024). He holds a PhD and Master’s in Optimization and Safety of Systems (UTT, 2013 and 2010) and an Industrial Engineering degree from the National Polytechnic School of Algiers (2009). His research focuses on combinatorial optimization and operations research, applied to production planning, energy management, and smart pricing. He has authored over 100 publications, including 27 journal articles, and received awards such as the IEEE-IFAC CODIT Best Paper Award (2014), Booster Research Prizes (2020, 2022), and the National Council of Universities’ Premium of Scientific Excellence (2019). Current work includes healthcare system resilience, energy-efficient scheduling, and Industry 4.0 applications in manufacturing. He leads projects at the intersection of optimization algorithms, production systems, and sustainable innovation. His academic contributions span dynamic pricing models, nurse scheduling optimization, and multi-criteria decision-making in energy and healthcare sectors. He collaborates with industry partners on practical implementations of his research findings.

Isabelle PuautView profile

Professor

• Real-Time Systems
• Computer Science
• Embedded Systems
• +3 more

Isabelle Puaut is a full professor at the University of Rennes I, affiliated with the IRISA research institute's PACAP group. Her research focuses on real-time systems, particularly Worst-Case Execution Time (WCET) estimation, distributed systems, and fault-tolerant architectures. She developed the open-source WCET estimation tool Heptane. She has held significant academic roles, including organizing major conferences like RTSS (2018 General Chair, 2017 PC Chair), ECRTS, and ISCA. Her career spans roles as a program committee member for numerous international conferences since 2000. She has supervised over 15 PhD students, with current advisees including Matthieu Rodet and Hector Chabot. Her HDR (Habilitation à Diriger des Recherches) was awarded in 2001. Teaching includes courses on low-level programming, real-time systems, and operating systems at the master's level.

• Celtic Studies
• Digital Humanities
• Irish Folklore
• +4 more

Professor Maxim Fomin is an academic at Ulster University, holding the position of Professor of Celtic Studies, Digital Humanities & Irish Folklore within the School of Arts & Humanities. He is based at the Derry~Londonderry campus in Room MA019, and his contact includes the Irish and Celtic Studies Research group (+44 28 7167 5213). Education: Masters in Philosophy from Moscow State University (1998) PhD research in Early and Medieval Irish at University College Cork (2000-2003) Research Interests: Fomin specializes in Early Irish wisdom literature, legal texts, and the history of the Irish language literary tradition. His work explores Irish folklore, calendar festivals, and cross-cultural connections such as Celto-Slavic linguistic parallels and Irish-Indian cultural parallels. He also focuses on comparative mythology, historical poetics, and the application of digital humanities methodologies like digitisation and linguistic computing in Celtic Studies. Additionally, he studies 19th-century Celtic scholars' bibliography. Professional Affiliations: He serves as Secretary of Societas Celto-Slavica, Founding Member and General Editor of the Studia Celto-Slavica series, and is a member of the AHRC Peer-Review College and the Irish Humanities Alliance Executive Board. He is also a Visiting Professor at the Centre for Research in Breton and Celtic (Brest, France). Advising & Grants: No advisees or grant details are explicitly listed in the provided text. Labs/Teams: Affiliated with the Centre for Research in Breton and Celtic in Brest, France, and contributes to Ulster University's Irish and Celtic Studies Research group.