Find Academic Supervisors

• Artificial Intelligence
• Collaborative Robotics
• Human-Machine Interaction
• +3 more

Madeleine EL ZAHER is a Researcher-Lecturer at CESI, affiliated with the Engineering and Numerical Tools research team. Her work focuses on Artificial Intelligence, Collaborative Robotics, Human-Machine Interaction, and Multi-Agent Systems. She holds a PhD in Computer Sciences from the University of Technology of Belfort-Montbéliard (2013) and a Master’s degree in Computer Sciences and Telecommunications from Paul Sabatier University (2010). Teaching responsibilities include Computer Sciences and Electronics at the Engineering program level, emphasizing project-based learning and training through research. She co-supervises PhD students in industrial robotics and cyber-physical systems, including Abdessalem ACHOUR (defending in 2024) and Badra Souhila GUENDOUZI (defending in 2025). Her research spans semantic mapping in mobile robotics, federated learning for industrial systems, and platooning algorithms for autonomous vehicles. Notable publications include work on semantic mapping with 3D models (2024), federated learning frameworks using genetic algorithms (2023), and verification of platooning systems (2012–2015). No scientific awards are explicitly listed, but her contributions reflect impactful work in autonomous systems and robotics. Grants and lab affiliations are not detailed in the provided text, though her team’s research aligns with CESI’s focus on engineering and numerical tools.

• Gastroenterology
• Hepatology
• Medical Imaging
• +4 more

Aymeric Becq is an Associate Professor at Sorbonne University and a clinical practitioner in gastroenterology and endoscopy. He works at Henri Mondor Hospital (APHP, University of Paris Est Creteil) and Cochin Hospital (APHP, University of Paris). Since January 2020, he is a PhD student affiliated with the AGATHE Team, INSERM Unit U1150, and the Institute of Intelligent Systems and Robotics (ISIR). University Hospital Practitioner (Gastroenterology, Henri Mondor Hospital) PhD Student (Doctoral School SMAER, ISIR Laboratory) Research Focus: Medical Imaging, Endoscopy, and Gastroenterology His research bridges clinical practice and robotics, focusing on computer-aided detection in endoscopic imaging, 3D biliary reconstruction, and microbiota modulation in hepatocellular carcinoma. Recent work includes optimizing fluoroscopic image analysis and developing AI-driven tools for ERCP procedures. His publications since 2022 highlight trends in AI applications for medical imaging, particularly in guidewire detection, instrument segmentation, and biliary system modeling. Collaborations span INSERM, APHP hospitals, and institutions like Harvard Medical School.

Vincent BARRAView profile

Professor

• Data Analysis
• Image Processing
• Video Processing
• +6 more

Vincent BARRA is a full professor in Computer Science at the LIMOS lab of Clermont-Auvergne University and CNRS. He serves as Vice dean of Clermont-Auvergne-INP (education and training), Assistant director of LIMOS, and Artificial Intelligence Special Advisor for Clermont-Auvergne University. He is also a member of the scientific board and Executive committee of MIAI Cluster. His academic work is primarily conducted through ISIMA, the engineering school in computer science of Clermont-Auvergne INP. Professor BARRA's research focuses on data analysis from both methodological and applicative perspectives. His work spans image and video processing, mesh processing, computational geometry, and machine/deep learning techniques. His interdisciplinary research connects computer science with applications in medical imaging, geothermal systems, polymer dynamics, mental health diagnostics, semiconductor manufacturing, and environmental monitoring. His publications demonstrate consistent innovation in developing algorithms for segmentation, feature extraction, and pattern recognition across diverse domains. The analysis of his recent publications reveals strong trends toward deep learning applications in specialized domains. His work shows increasing focus on medical applications (depression diagnosis, preterm birth prediction), geoscience (geothermal systems analysis), and industrial applications (semiconductor metrology, structural health monitoring). A consistent theme across his research is the development of robust, domain-specific deep learning architectures that address unique challenges in data analysis across different scientific fields. Professor BARRA maintains active collaborations across multiple institutions and disciplines, as evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in diverse fields, demonstrating a commitment to solving real-world problems through innovative computational approaches. He leads research within the LIMOS laboratory, which focuses on computer science, modeling, and systems optimization.

• Biomedical Image Processing
• Mathematical Analysis
• Computational Geometry
• +3 more

Giacomo Nardi is an Associate Professor (Maître de Conférences) at INSA Rouen starting September 2025, holding a PhD in Mathematics from Sorbonne University. His research bridges mathematical analysis and biomedical image processing through extensive collaborations with the Institut Pasteur in Paris, focusing on developing advanced mathematical frameworks for biological imaging applications. His educational background includes: PhD in Mathematics, Sorbonne University (Pierre and Marie Curie), thesis: "On a characterization of the relaxation of a generalized Willmore functional" under supervisors S. Masnou and E. Mascolo. Nardi's work spans Biomedical Image Processing and Mathematical Analysis , evolving from foundational contributions in calculus of variations (Willmore functionals, BV functions) to cutting-edge biomedical applications. His current research employs topological data analysis and geometric methods to solve complex biological imaging problems including 3D segmentation of hematopoietic stem cells, receptor dynamics analysis, and retinal degeneration quantification. This interdisciplinary approach integrates deep mathematical theory with practical biological challenges through close partnerships with biologists at the Institut Pasteur. Analysis of his publication trajectory reveals a decisive shift toward biomedical applications since 2016, with recent work (2022-2025) dominating in high-impact imaging journals and conferences. His research consistently applies geometric measure theory and functional analysis to innovate in cellular dynamics modeling and 3D image segmentation, demonstrating exceptional versatility across pure mathematics and translational biomedical research. Nardi actively mentors the next generation of researchers: Postdoctoral supervision: Somoballi Ghoshal (2024-present, Institut Pasteur) on persistent homology-based 3D cell segmentation in cardiac tissue. PhD supervision: Benjamin Dorra (defense March 5, 2025, Medetia/Institut Pasteur) on AI-driven histopathology for ciliopathy models, resulting in ISBI 2024 award-winning publications. He co-develops the open-source Fshapestk (Functional shapes toolkit) and collaborates with J.-C. Olivo-Marin's Quantitative Image Analysis Unit at the Institut Pasteur, maintaining strong ties between theoretical mathematics and experimental biology through ongoing joint projects in cellular dynamics and tissue imaging.

• Operations Research
• Decision Analytics
• Supply Chain Management
• +5 more

Laurent ALFANDARI is a Full Professor at ESSEC Business School, specializing in Operations Research and Decision Analytics within the Information Systems, Decision Sciences and Statistics (IDS) Department. He has held key academic roles including Academic Co-Director of the ESSEC-CentraleSupélec Master in Data Sciences & Business Analytics (2019–2023) and Coordinator of the Operations & Data Analytics PhD concentration (2018–2021). His research focuses on optimization techniques applied to supply chains, logistics, healthcare, and disaster preparedness. He has authored over 50 journal articles in top venues like European Journal of Operational Research and Transportation Science. Education : - Doctorate in Operations Research (Université Paris Dauphine-PSL, 1999) - Master of Research in Management Science (Université Paris Dauphine-PSL, 1995) - M.Sc in Management (ESSEC Business School, 1993) - Bachelor in Mathematics & Social Sciences (Université Paris Dauphine-PSL, 1990) Research Interests : His work addresses complex optimization challenges in urban logistics, healthcare networks, and disaster response. Notable contributions include freight-on-transit systems, autonomous robot delivery, and pandemic intervention sequencing. He emphasizes practical solutions for real-world problems through mixed-integer programming and robust optimization frameworks. Teaching & Mentoring : Teaches Decision Analytics and Operations Research across ESSEC programs (Grande École, Executive MBA, PhD). Supervised 14 PhD theses, including recent works on sustainable last-mile deliveries and healthcare analytics. Awards & Activities : 2020 ESSEC Top 4 Teaching Award, Vice-President of ROADEF (2012–2015), and leader in industrial collaborations with SNCF and Aid-Impact. Active in organizing academic conferences and serves as a journal reviewer for Annals of Operations Research and others. Labs & Collaborations : Member of LIPN (Sorbonne Université) and LAMSADE (Paris Dauphine). Consults for organizations like Babcock-Wanson and contributes to public-sector projects like EDF's ROADEF challenge.

• Electromagnetic Compatibility (EMC)
• Electrical Engineering
• Embedded Systems
• +3 more

Fabrice Duval is a Researcher-Lecturer and Head of the Technical Research and Transfer Platform at CESI. He holds a Habilitation to supervise research from Rouen University (2016) and a PhD in Electrical Engineering from Université Paris-Saclay (2007). His research focuses on Industrial Performance Optimization, Electromagnetic Compatibility (EMC), and robotics-driven manufacturing systems. He leads the 'Engineering and Numerical Tools' research team and manages the CESI FabLab. His educational activities include teaching Electromagnetism, Electricity, and Embedded Systems to engineering students (1st/2nd years and masters). He has supervised numerous PhD theses, including those on EMC in electric vehicles, motor impedance modeling, and PEEC-based EMI analysis. His work emphasizes practical applications, such as the CoRoT project (2016-2021) improving flexible manufacturing systems with autonomous/collaborative robots. Key research themes include robotics task allocation (e.g., auction-based optimization), digital twin integration for resilient systems, and synthetic data for industrial object detection. His publications span peer-reviewed journals and conferences, addressing topics like magnetic shielding effectiveness in automotive applications and modular mobile manipulator coordination. Awards: While no specific honors are listed, his extensive supervision record and participation in high-impact projects reflect his academic standing. He actively organizes scientific events and contributes to industry-research partnerships. Lab involvement: As FabLab manager, he bridges academic research with hands-on innovation, fostering experimental prototyping in electromechanical systems and smart manufacturing technologies.

Juliette ChabassierView profile

Researcher

• Acoustics
• Mathematical Modeling
• Numerical Analysis
• +3 more

Juliette Chabassier is a Researcher at the MAGIQUE-3D project team within Inria Bordeaux Sud-Ouest and affiliated with Université de Pau et des Pays de l'Adour . She holds a Ph.D. in Applied Mathematics from École Polytechnique (2012), advised by Patrick Joly and Antoine Chaigne. Roles: Junior Research Scientist (since 2013), Post-Doc at University of Pau (2012-2013) Research Focus: Acoustics of musical instruments, wave propagation modeling, numerical simulation of piano and wind instruments, energy-preserving discretization schemes, and viscothermal effects in ducts. Her work emphasizes physical modeling and computational acoustics , particularly in piano acoustics, wind instrument design, and heritage instrument digitization. She develops tools like OpenWind for simulating instrument responses and collaborates on projects involving piano soundboard analysis and historical instrument reconstruction. Her recent articles explore topics such as: Simulation of brass instruments using finite element models Thermoviscous effects in conical tubes Energy-conserving discretization for nonlinear wave equations Digital twins for heritage instruments like Besson trumpets She advises doctoral students including Elvira Shishenina and Izar Azpiroz , focusing on applied mathematics and acoustics. Her contributions include advanced numerical methods for acoustic-elastic coupling and boundary layer phenomena in exponential media. Current projects involve homogenization techniques for porous materials, real-time instrument simulation tools, and interdisciplinary work on acoustics education through open-source software.

• Biomedical Signal Processing
• Decision-Making Methodologies
• Frailty Prevention in Elderly
• +3 more

Aly CHKEIR is an Associate Professor at the University of Technology of Troyes (UTT), holding the 'SilverTech' chair focused on technologies for healthy aging and elderly autonomy support. He earned his PhD in biomedical sciences from the University of Technology of Compiègne (UTC) in 2011, specializing in uterine electrical activity modeling. His research emphasizes biomedical signal processing, decision-making methodologies, and applications in frailty prevention among the elderly. Education: PhD in Biomedical Sciences, UTC, France (2011). Research interests include signal segmentation/classification, biomedical engineering, and solutions for aging populations. Notable projects include the SilverTech chair's holistic approach to aging technologies and the PiCADo initiative for in-home medical monitoring systems. Recent work focuses on AI-driven diagnostics (e.g., MRI segmentation, cough analysis), radar-based mobility assessment, and voice recognition for health monitoring. His contributions span sensor fusion, gait analysis, and non-invasive health tracking tools. His lab collaborations include Doppler radar systems for gait speed measurement, thermal imaging for health indicators, and AI-enhanced geriatric assessment tools. Projects like ARPEGE and PiCADo highlight his commitment to deploying innovative healthcare solutions for aging populations.

Benjamin GregoireView profile

Researcher

• Compilers
• Formal Verification
• Cryptography
• +3 more

Benjamin Gregoire is a Researcher at INRIA Sophia Antipolis , affiliated with the Marelle Team . His work focuses on compilers , formal verification , cryptography , proof assistants , and type theory . Education : PhD in Computer Science, Université Paris 7 (2003) Research Interests : Dr. Gregoire specializes in formal verification of cryptographic systems, compiler design for security-critical applications, type-based termination, and proof assistants like Coq. His projects include the INRIA-Microsoft Research Joint Lab , ANR Scalp (Security of Cryptographic Algorithms with Probabilities), and ANR DeCert (Certified Decision Procedures). He led the Mobius project (IP FET) and contributed to Java security validation via the JACK tool . Scientific Awards : He received the Best Paper Award at CRYPTO 2011 for 'Computer-Aided Security Proofs for the Working Cryptographer.' Advising & Collaborations : Dr. Gregoire has advised PhD students Michael Armand , Julien Charles , Sylvain Heraud , and Jorge-Luis Sacchini , with former advisee Cesar Kunz . He collaborates with teams including Marelle and INRIA-Microsoft Research .

• Image Processing
• Signal Processing
• Computer Vision
• +4 more

Marc Donias is an Associate Professor at the University of Bordeaux, affiliated with the IMS (Laboratory of Integration, Material to System) which is part of the College of Engineering. He is a member of the Signal and Image Processing research group and works within the MOTIVE team, focusing on advanced image processing and computer vision applications. His research interests span across multiple domains including image processing, signal processing, computer vision, machine learning, and seismic data analysis. Dr. Donias has made significant contributions in texture analysis, image colorization algorithms, and geological data interpretation. His work often bridges theoretical advances with practical applications in agriculture, materials science, and geophysics. Analysis of his recent publications reveals a strong trend toward deep learning applications in image processing, particularly generative models for image colorization and object detection. His work demonstrates interdisciplinary reach, connecting computer vision with agricultural technology, materials science, and geophysical interpretation. The publications show consistent collaboration with researchers from the IMS laboratory, particularly with Yannick Berthoumieu and other members of the MOTIVE team. Dr. Donias has been actively involved in developing innovative approaches for seismic horizon reconstruction, texture analysis, and agricultural image processing. His work on SPD manifold learning for image colorization represents a sophisticated mathematical approach to a challenging computer vision problem. The practical applications of his research are evident in precision agriculture technologies and geological interpretation tools.

• Machine Learning
• Deep Learning
• Medical Informatics
• +3 more

Nasmin Jiwani is a Research Scholar with 56 publications, an h-index of 20, and 921 total citations. Her academic work spans interdisciplinary applications of machine learning and deep learning techniques across medical diagnostics, cybersecurity, and IoT systems. Her research focuses on Medical Informatics where she develops AI-driven diagnostic tools for liver disease prediction, diabetic retinopathy classification, and acute lymphoblastic leukemia detection. In Cybersecurity , she pioneers image-based malware classification using deep learning architectures. Her IoT Systems research includes supply chain optimization and smart security applications. Recent work shows increasing emphasis on healthcare technology integration, particularly in cancer diagnostics and autism spectrum disorder analysis. Collaboration patterns indicate strong partnerships with Ketan Gupta (30 co-authored papers), J. Logeshwaran, and Neda Afreen across IEEE conferences and journals. Her publication trajectory demonstrates consistent output with 10+ papers annually since 2022, showing particular strength in translating theoretical machine learning models to practical healthcare and security applications.

Patrick MeierView profile

Researcher

• Humanitarian Technology
• Digital Humanitarians
• Crisis Informatics
• +3 more

Patrick Meier is a globally recognized expert in humanitarian technology and innovation, currently affiliated with the Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University. His work focuses on leveraging big data and digital tools to enhance humanitarian response during crises. He holds a PhD from The Fletcher School, a pre-doctoral fellowship from Stanford University, and an MA from Columbia University. Previously, he contributed to the Harvard Humanitarian Initiative, the United Nations, and the World Bank. His seminal book Digital Humanitarians explores how volunteers and professionals worldwide collaborate to analyze crisis data using crowdsourcing and AI, endorsed by leading institutions like Harvard and MIT. Meier has deployed fieldwork in over 20 countries, including Sudan, Haiti, and Vanuatu, addressing humanitarian challenges through technological solutions. Education: PhD: The Fletcher School Pre-Doctoral Fellowship: Stanford University MA: Columbia University Research Interests: Patrick’s work bridges technology and humanitarianism, emphasizing rapid data analysis during disasters. He pioneers methods to harness social media, satellite imagery, and UAVs for real-time crisis mapping, ensuring timely aid delivery. His research also explores ethical frameworks for AI-driven humanitarian interventions and global collaboration models between NGOs and tech communities. Awards & Recognition: While no formal awards are listed, his book has received institutional endorsements from prestigious organizations such as the United Nations and World Bank, reflecting its impact on the field. Grants & Advising: Details on specific grants or advising roles are not provided in the text, though his extensive fieldwork implies involvement in funded projects. His collaborations with international bodies suggest engagement in cross-sector initiatives. Labs & Teams: Active within QCRI, he likely contributes to interdisciplinary teams focusing on crisis analytics, though specific lab affiliations are unspecified.

Stéphane SafinView profile

Lecturer

• Creative Design
• Human-Machine Interaction
• Cognitive Ergonomics
• +5 more

Stéphane Safin is a Lecturer and researcher in ergonomics at Télécom Paris, part of the Institut Polytechnique de Paris. He holds a PhD in ergonomic psychology from the University of Liège (2011) and conducted postdoctoral research at the University of Montreal. His academic roles include teaching interaction design, user-centered design methods, and overseeing design projects. He co-leads the Master's in Design program accredited with University of Paris Saclay and ENSCI-Les Ateliers. His research focuses on creative activity in design, particularly in architecture and industrial design, emphasizing cognitive processes and instrumental dimensions of creativity. Key areas include digital sketching, collaborative design, and the role of external representations (drawings, models) in creative processes. Notable projects include the ANR Social Touch Project (2017-2020) exploring tactile interfaces for social communication and the EU-funded DIALLS Project (2018-2021) on cultural literacy through text production. He leads the Interaction, Technology, Activity (Interact) research team within the Interdisciplinary Institute of Innovation (i3) lab. His work spans participatory design, emergency response systems, and co-creation methodologies for urban planning. Recent publications address topics like bicycle modal shift in urban France, haptic interfaces for remote communication, and co-design in geriatric care facilities. He has contributed to over 70 peer-reviewed articles, conference papers, and book chapters, with a focus on design cognition, ergonomics education, and sociotechnical systems. His teaching integrates theoretical and practical design methodologies, emphasizing interdisciplinary collaboration and user-centric approaches.

• Microwave Engineering
• RF Circuit Design
• HEMT Mixers
• +3 more

Rachid Allam is an Associate Professor with HDR (Habilitation à Diriger des Recherches) at University of Poitiers, affiliated with both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA (École Nationale Supérieure de Mécanique et d'Aérotechnique). He is a member of the Laboratory LIAS (Laboratoire d'Ingénierie des Applications de la Sensorique) where he conducts research in microwave engineering and RF circuit design. Dr. Allam's research focuses on microwave engineering, particularly in HEMT mixers, noise analysis, RF circuit design, and wireless communications. His work spans theoretical modeling, circuit design, and practical implementation of microwave components. His research has significant applications in wireless communication systems, particularly in improving signal quality and component efficiency. Analysis of Dr. Allam's publications reveals a consistent focus on microwave components, particularly HEMT mixers and RF filters. His work demonstrates progression from fundamental device modeling to practical circuit implementation. The publications show strong expertise in noise analysis, conversion gain optimization, and high-Q filter design for wireless applications. His research bridges theoretical analysis with practical implementation challenges in microwave engineering. Dr. Allam has maintained an active research program with publications spanning from 1998 to 2011, demonstrating sustained contributions to the field of microwave engineering. His work shows collaboration with multiple researchers across different institutions, indicating strong professional networks within the academic community. As a faculty member with HDR qualification, Dr. Allam would have supervised PhD students and contributed to graduate education at University of Poitiers. His research has likely been supported by various grants, though specific funding sources are not mentioned in the available information. Dr. Allam is affiliated with the Automatic Control research team at Laboratory LIAS, which suggests his work intersects with control systems applications in microwave engineering. His research contributes to the broader goals of the laboratory in sensor applications and signal processing.

Josselin GarnierView profile

Professor

• Waves in Random Media
• Imaging in Complex Media
• Uncertainty Quantification
• +6 more

Josselin Garnier is a Professor at Ecole Polytechnique, France, affiliated with the Center for Applied Mathematics. His research focuses on wave propagation in random media, imaging techniques, uncertainty quantification, and inverse problems. He has authored/co-authored multiple influential books including Wave Propagation and Time Reversal in Randomly Layered Media (2007) and Multi-Wave Medical Imaging (2017). His work bridges mathematical theory with applications in optics, seismology, and nuclear engineering. Research interests emphasize stochastic dynamics, nonlinear wave interactions, and Bayesian methods for parameter estimation. He leads a large research group with over 30 PhD students, many working on interdisciplinary projects such as thermalization in optical fibers and seismic fragility analysis. His contributions include developing reduced order modeling approaches for inverse problems and advancing methodologies for uncertainty quantification in nuclear reactor simulations. Key collaborations involve institutions like the French Mathematical Society and the Ciroquo Research & Industry Consortium. His educational contributions include the widely used All-in-one Mathematics textbook series for undergraduate students.