جست‌وجوی استاد و پژوهشگر

Rida Khatounمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Cloud Computing Security
• +۶ مورد دیگر

Rida Khatoun is a Professor in Cybersecurity at the Computer Sciences and Networks (Infres) Department at Télécom Paris. He holds a M.Sc. in Computer Engineering and a Ph.D. from the University of Technology of Troyes (UTT), France, awarded in 2004 and 2008, respectively. His research focuses on cybersecurity in networks, including cloud computing security, IoT security, vehicular networks security, intrusion detection systems, and blockchain technology. He has taught at Telecom Paris since 2014, Shanghai Jiao Tong University (SJTU) since 2016, and other institutions in China and France since 2005. His work spans theoretical frameworks and practical solutions for network security challenges. Key research areas include DDoS attack detection, vehicular communication security, and cryptographic protocols. He leads the Cybersecurity and Cryptography (C²) research team and is affiliated with the Laboratoire Traitement et Communication de l'Information (LTCI). His contributions include developing secure routing protocols (e.g., ASROP), statistical trust systems in wireless networks, and blockchain-based authentication for IoT. He has authored over 115 publications, including peer-reviewed articles and conference proceedings, with recent work addressing vehicular platooning security, TLS handshake optimization for C-ITS, and machine learning for cyberbullying detection. Rida’s academic activities include teaching courses on network security protocols, wireless network fundamentals, and QoS mechanisms. He collaborates internationally, contributing to smart city cybersecurity architectures and 6G programmable communications. His research emphasizes practical cybersecurity solutions for emerging technologies, ensuring robust protection against evolving threats in vehicular, IoT, and cloud environments.

• Static Program Analysis
• Abstract Interpretation
• Programming Languages
• +۳ مورد دیگر

Caterina Urban is a Research Scientist (Chargé de Recherche) at INRIA and École Normale Supérieure (ENS) in Paris, France. She is a member of the INRIA research team ANTIQUE (ANalyse StaTIQUE), where she focuses on formal methods and static analysis. Prior to her current position, she was a postdoctoral researcher at the Chair of Programming Methodology, led by Peter Müller at ETH Zurich. Dr. Urban holds a PhD in Computer Science (2015) from École Normale Supérieure, Paris, where she worked under the joint supervision of Radhia Cousot and Antoine Miné. She also earned a Master's degree (2011) and Bachelor's degree (2009) in Computer Science, both with full marks and honors (summa cum laude) from the Università degli Studi di Udine, Italy. Her research interests span the whole spectrum of formal methods with a focus on developing rigorous methods and tools to enhance the reliability of computer software, particularly data science applications. Her main area of expertise is static analysis based on abstract interpretation. Dr. Urban is currently engaged in several research projects including Lyra (focusing on data science software), Libra (fairness certification for neural networks), and SAIF (addressing safety concerns in machine learning-based systems). Dr. Urban's recent publications demonstrate her expertise in applying abstract interpretation to diverse areas including machine learning, data science, program verification, and security. Her work bridges theoretical foundations with practical applications, particularly in ensuring the reliability and trustworthiness of increasingly critical data science and machine learning systems. She has received recognition for her work through invitations to serve on program committees for major conferences including OOPSLA 2026, PLDI 2026, and CAV 2026. She is also the general chair of iFM 2025 in Paris. Dr. Urban actively mentors the next generation of researchers, supervising PhD students and postdoctoral researchers. She teaches courses on abstract interpretation and its applications at the Master Parisien de Recherche en Informatique (MPRI) and various international summer schools. She has developed several open-source software tools including Lyra (a static analyzer for data science applications), Libra (for fairness certification of neural networks), and Typpete (SMT-based static type inference for Python).

• Cryptography
• Computational Number Theory
• Computer Algebra
• +۳ مورد دیگر

Damien Stehlé is a Professor at the École Normale Supérieure de Lyon (ENS Lyon), affiliated with the Laboratoire LIP (CNRS, ENSL, INRIA, UCBL, U. Lyon) and a member of the AriC team. He is also a member of the Institut Universitaire de France. His research focuses on cryptography, computational number theory, and computer algebra, particularly lattice-based cryptography and its applications in post-quantum security. He has held editorial roles at the Journal of Cryptology and Designs, Codes and Cryptography, and served on committees for major conferences like ASIACRYPT and CRYPTO. His work has led to advancements in lattice reduction algorithms, cryptographic protocols (e.g., signatures, encryption schemes), and security proofs in the quantum random oracle model. Stehlé has supervised numerous PhD students, including Alice Pellet-Mary and Miruna Rosca, and has contributed to open-source lattice reduction software like fplll. His awards include Best Paper Awards at ASIACRYPT 2021 and 2015. He teaches advanced courses on post-quantum cryptography and cryptanalysis at the Master’s level.

Clément Malletمشاهده پروفایل

پژوهشگر

• Geospatial Computer Vision
• Remote Sensing
• Machine Learning
• +۴ مورد دیگر

Clément Mallet is a Senior Researcher and Director of the LASTIG laboratory at Université Gustave Eiffel, IGN, and École Nationale des Sciences Géographiques (ENSG) in Champs-sur-Marne, France. He leads research in geospatial computer vision, focusing on the intersection of remote sensing, computer vision, and machine learning. His responsibilities include overseeing 75 laboratory members and directing the STRUDEL research team focused on spatio-temporal information modeling. Education: Habilitation (HDR) in Geographical Information Science, Université Paris-Est (2016) PhD in Image and Signal Processing, Télécom ParisTech (2010) Engineering Degree in Geographical Information Science, ENSG (2005) Master's in Remote Sensing, Université Paris 6 (2005) Research Interests: Dr. Mallet specializes in multi-modal land-cover mapping, change detection, geohistorical image analysis, and airborne lidar processing. His work integrates deep learning with geospatial data analysis to solve complex problems in environmental monitoring, urban studies, and historical geography. Current research explores foundation models for earth observation and semantic change detection using hybrid data generation techniques. Publication Trends: Mallet's recent articles (2021-2025) demonstrate strong focus on deep learning applications for geospatial challenges: 40% address land-cover mapping innovations, 30% develop novel change detection methodologies, 20% advance lidar data processing, and 10% explore historical map analysis. His work consistently bridges computer vision theory with operational remote sensing applications. Awards and Recognition: Schwidefsky Medal from ISPRS (2016) 5x Outstanding Reviewer awards (CVPR/ECCV/ICCV 2017-2024) Best Paper Awards at GEOBIA 2016 and ISPRS 2014 Young Researcher Award from GDR ISIS (2010) EuroSDR Best PhD Thesis supervision (2020) Research Leadership: Directs multiple national and international projects including MAESTRIA (ANR-funded multi-modal EO analysis) and HIATUS (historical image analysis). Supervised 14+ PhD students in geospatial AI topics. Secured funding from ANR, CNES, EU H2020 (VOLTA, LandSense), and industrial partners. Leads the STRUDEL team developing cutting-edge methods for territory dynamics analysis. Professional Service: Editor-in-Chief of ISPRS Journal of Photogrammetry and Remote Sensing (2021-present). Organized major conferences including ISPRS Congress (2020-2022 Program Chair) and JURSE events. Active in ISPRS working groups since 2008, currently leading initiatives in large-scale machine learning applications for geospatial data.

Abderrahim Benslimaneمشاهده پروفایل

استاد

• Distributed Computing
• Networking
• Communication Protocols
• +۷ مورد دیگر

Abderrahim Benslimane is a Full Professor of Computer Science at the University of Avignon, France, where he serves as Vice Dean of International Relations at the UFR STS (Unité de Formation et de Recherche en Sciences et Technologies). He is also Head of the master degree SICOM (Systèmes Informatiques Communicants: réseaux, services et sécurité) program at the university. His extensive academic career spans several decades with significant contributions to computer science, particularly in networking and security domains. Professor Benslimane holds a HDR (Title to supervise researches) from the University of Cergy-Pontoise, a Ph.D. from the University of Franche-Comté, along with M.S. and B.S. degrees in Computer Science from the same institution and the University of Nancy respectively. His research interests primarily focus on distributed computing, networking and communication protocols, with particular emphasis on modeling, describing and implementing secure communication protocols and multimedia applications in heterogeneous network architectures. He combines engineering and theoretical approaches using graphs, distributed algorithms, transition systems, and performance evaluation models. Benslimane's scholarly work demonstrates a strong trend toward addressing security and privacy challenges in emerging technologies. His recent publications focus on cybersecurity applications for wireless sensor networks, Internet of Things, blockchain implementations, UAV communications, and vehicular networks. He has pioneered research in energy attack mitigation, trust management systems, and secure group communications, often employing game theory and novel cryptographic approaches. His work bridges theoretical foundations with practical implementations in next-generation networking technologies. IEEE VTS Distinguished Lecturer (2020-2022) Best Paper award at IEEE ICC 2019 Multiple Prime d'Encadrement et de Recherche Doctorale awards (1998-2021) Prime d'Excellence Scientifique (2011-2015) IEEE Senior Member As an academic leader, Benslimane has served as Editor in Chief of Multimedia Intelligence and Security Inderscience Journal, Area Editor of IEEE Internet of Things Journal, and Associate Editor for multiple prestigious publications including IEEE Transactions on Multimedia and IEEE Wireless Communication Magazine. He has founded and led research centers including the Informatics Research center (CRI) at the French University in Egypt and the Multimedia and networking team (RAM) at the Laboratoire d'Informatique d'Avignon (LIA). His laboratory research focuses on security, communication protocols, graphs and distributed algorithms, with applications in ad hoc networks, sensor networks, vehicular networks, and IoT.

Jean-Philippe MARTINETمشاهده پروفایل

مدرس

• Medical Entomology
• Parasitology
• Virology
• +۴ مورد دیگر

Jean-Philippe MARTINET is a Lecturer in Parasitology at the School of Pharmacy , University of Reims Champagne-Ardenne. He specializes in medical and veterinary entomology, focusing on mosquito-borne zoonotic viruses (West Nile, Usutu) and entomopathogenic nematodes of the Mermithidae family. His work spans vector ecology, transmission dynamics, and climate change impacts on disease vectors. Pharmacist (Faculty of Pharmacy, Reims) Master's in Natural Environment Engineering: Wildlife and Environment PhD in Medical and Veterinary Entomology (defended 2021) Research Interests Vectorial transmission of arboviruses Mosquito surveillance and ecological modeling Temperature-dependent virus transmission Mermithid nematodes as biological control agents Recent Article Trends emphasize experimental studies on mosquito vector competence, climate change effects on Aedes species, and taxonomic advancements in disease vectors. His collaborations include the Pasteur Institute of New Caledonia and EA7510 ESCAPE. Laboratory Affiliations : Dengue and Arbovirus Research and Expertise Unit (UREDA) at Pasteur Institute of New Caledonia; EA7510 ESCAPE research unit in Reims.

Sreedhar B Duttaمشاهده پروفایل

استادیار

• Statistical Physics
• Field Theory
• Nonequilibrium Statistical Physics
• +۶ مورد دیگر

Sreedhar B Dutta is an Assistant Professor in the School of Physics at Indian Institute of Science Education and Research Thiruvananthapuram. He holds a Bachelor of Science in Physics from Indian Institute of Technology, Kharagpur, and a Master of Science and Ph.D. in Theoretical Physics from the Institute of Mathematical Sciences, Chennai, India. Doctoral Education: Theoretical Physics (Ph.D.) Postdoctoral Experience: Tata Institute for Fundamental Research (2001-2004), Harish-Chandra Research Institute (2004-2005), Korea Institute for Advanced Study (2005-2009), Laboratoire de Physique des Materiaux (2009-2010). His research focuses on Statistical Physics and Field Theory , with emphasis on Nonequilibrium Systems, Critical Phenomena, and Conformal Field Theory. He has contributed to studies on the Ising and Spherical models, quantum Hall systems, and periodically driven stochastic systems. Dr. Dutta's publications highlight trends in Non-equilibrium Statistical Mechanics, Quantum Field Theory, and applications to Condensed Matter systems. His work spans kinetics of phase transitions, aging phenomena, and critical dynamics. He teaches Mathematical Methods in Physics and Quantum Mechanics , contributing to foundational and advanced physics education. Contact: sbdutta@iisertvm.ac.in , +91 (0)471-2778131.

• Geometric Methods in Mathematical Physics
• Differential Geometry
• Multisymplectic Geometry
• +۴ مورد دیگر

Tilmann Wurzbacher is a Professor at the University of Lorraine, affiliated with the Department of Mathematics, Computer Science, and Mechanics. His research focuses on geometric methods in mathematical physics, including multisymplectic geometry, supermanifolds, complex Kähler manifolds, and infinite-dimensional analysis. He has contributed to the development of multisymplectic structures for classical field theories and collaborates on foundational questions in supergeometry. His recent publications emphasize multisymplectic geometry, supermanifolds, and infinite-dimensional structures, with applications to geometric quantization, conservation laws, and Hamiltonian systems. He has co-authored works on co-moments, Lagrangian submanifolds, and singular superspaces. Wurzbacher actively organizes seminars and workshops, including the weekly LieGA seminar and international workshops on multisymplectic geometry. He participates in CNRS-funded networks such as the 80Prime Project "GraNum" and the GDGR "GDM".

• Extreme Value Theory
• Applied Mathematics
• Gaussian Processes
• +۵ مورد دیگر

Marie Kratz is a Full Professor at ESSEC Business School (Cergy, France), affiliated with the CREAR - Center of Research in Econo-finance and Actuarial Sciences on Risk . Her work bridges theoretical and applied domains in extreme value theory , heavy-tailed distributions , and risk management , with applications in finance, cybersecurity, and neuroscience. Research Focus : Extreme value theory, risk concentration, cyber risk modeling, Gaussian random fields, and pro-cyclicality in financial risk measures. Collaborations : Active collaborations with Michel Dacorogna, Marcel Bräutigam, and Sibsankar Singha on cyber risk and financial applications. Methodologies : Development of the Normex method for aggregated heavy-tailed risks, hybrid Gaussian-Pareto models, and near-explosive random coefficient autoregressive models. Awards and Recognition : No specific awards mentioned in the text.

Eric TOTELمشاهده پروفایل

استاد

• Network Security
• Intrusion Detection Systems
• Data Confidentiality
• +۳ مورد دیگر

Eric TOTEL is a Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on intrusion detection systems, graph-based anomaly detection, machine learning applications in security, and data confidentiality in distributed systems. He has contributed to projects such as DAMS (DDoS mitigation using deep reinforcement learning), Sec2Graph (novelty detection on graph-structured data), and DAEMON (dynamic autoencoder-based anomaly detection). His work emphasizes scalable solutions for multi-step attack detection and privacy-preserving infrastructure for encrypted DNS logs. Key contributions include developing correlation engines for distributed systems, formalizing invariant-based attack detection in web applications, and exploring static analysis for information flow control. He has authored over 50 peer-reviewed publications and served on program committees for conferences like RAID, CRiSIS, and EuroS&P. His HDR (2012) formalized error-detection techniques applied to intrusion detection. Advising and grants: He collaborates on projects funded by French national research agencies and has mentored students in cybersecurity, AI for defense (CAID conferences), and cloud infrastructure security. His research often bridges theoretical models and practical implementations, with tools like STARLORD for 3D graph visualization of security data.

• Turbomachinery Aerodynamics
• Aeronautical Propulsion
• Unsteady Flow Analysis
• +۳ مورد دیگر

Nicolas Binder is a Professor and Head of the Turbomachinery and Propulsion Research Group at ISAE-SUPAERO . His research focuses on turbomachinery aerodynamics, unsteady flow analysis, and innovative propulsion systems for aerospace applications. Member of EuroTurbo executive committee ASME Member Associate Editor, Journal of Turbomachinery Research expertise in off-design operations and windmilling flows Research Interests : Aerodynamics of turbomachinery in severe off-design conditions Unsteady flow dynamics in turbines Innovative propulsion methods including magneto-hydrodynamics Flow analysis techniques for compressors and fans Recent publications (2024-2021) emphasize transient flow modeling in turbines, windmilling operation optimization, and variable geometry turbine performance. Articles span experimental validation of numerical models, shock wave interactions, and novel propulsion concepts like plasma-thrusters for drones.

Lucy Gloverمشاهده پروفایل

پژوهشگر

• Molecular Parasitology
• DNA Repair
• Antigenic Variation
• +۷ مورد دیگر

Lucy Glover is a Researcher and Group Leader of the Trypanosome Molecular Biology laboratory at the Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France. She joined the institute in March 2016 as a G5 group leader, focusing on the molecular mechanisms of antigenic variation and DNA repair in Trypanosoma brucei , the causative agent of Human African Trypanosomiasis. Her research integrates molecular, biochemical, and high-throughput approaches to study DNA recombination and immune evasion. Institut Pasteur, Paris (2016–Present) PhD, London School of Hygiene and Tropical Medicine Her research interests center on antigenic variation , DNA repair , and homologous recombination in trypanosomes. She investigates how DNA double-strand breaks influence variant surface glycoprotein (VSG) switching, a critical process for parasite survival in the host. Her lab uses advanced techniques such as RIT-seq, phosphoproteomics, and CRISPR-based tools to dissect these mechanisms at the molecular level. The recent publications of Lucy Glover span molecular parasitology, DNA damage response, and diagnostic development. Key themes include the role of the MRN complex in DNA repair, phosphoproteomic profiling of DNA damage responses, and the design of CRISPR-based diagnostics for HAT. Her work reveals how chromosomal context influences repair pathways and antigenic variation, contributing to a deeper understanding of parasite biology. While no formal scientific awards are listed in the provided text, her contributions are evident through high-impact publications and leadership in collaborative research projects. Lucy Glover advises several PhD and postdoctoral researchers, including Emilia MacLaughlin, Nuria Sima Teruel, and Alix Thivolle. Her lab is supported by institutional initiatives such as LabEx IBEID and transversal drug discovery programs. She collaborates with teams working on host-pathogen interactions, genomics, and infectious disease epidemiology. Her laboratory is part of the Department of Parasites and Insect Vectors and participates in departmental retreats and seminars. The team includes post-docs, research engineers, and administrative staff, reflecting a collaborative and interdisciplinary research environment focused on combating neglected tropical diseases.

Emanuele Macrìمشاهده پروفایل

استاد

• Algebraic Geometry
• Derived Categories
• Moduli Spaces
• +۳ مورد دیگر

Emanuele Macrì is a Professor at the Laboratoire de mathématiques d'Orsay, Université Paris-Saclay, specializing in algebraic geometry with a focus on derived categories, stability conditions, and moduli spaces. He holds editorial roles at Mathematische Zeitschrift, International Mathematics Research Notices, and Selecta Mathematica. His research explores hyperkähler manifolds, Fano varieties, and wall-crossing phenomena, contributing to foundational advancements in geometric stability theory. Education & Positions Current roles include: Professor, Université Paris-Saclay (since 2024) Member of the Orsay Mathematics Laboratory (LMO) Research Interests Key areas of study encompass: Derived categories of coherent sheaves and their stability conditions Moduli spaces of sheaves on K3 surfaces and hyperkähler varieties Applications of wall-crossing techniques to classical algebraic geometry problems Geometry of Fano varieties and hyperkähler manifolds Publications & Trends Recent work emphasizes: Advances in understanding hyperkähler manifolds via stability conditions (e.g., Mukai models of Fano varieties ) Classification of hyperkähler fourfolds using Riemann-Roch polynomials Investigations into antisymplectic involutions and their geometric implications Development of stability frameworks for Kuznetsov components in derived categories Awards & Recognition Plenary speaker at the 2025 Summer Research Institute in Algebraic Geometry Member of the Accademia dei Lincei (2024) Medaglia dei XL per la matematica (2023) Invited speaker at the International Congress of Mathematicians 2022 Advising & Grants Macrì has advised numerous PhD students and postdocs, including: Current students: Matteo Verni, Vanja Zuliani Notable past students: Luigi Martinelli, Benjamin Schmidt He leads the ERC Synergy Grant HyperK (2020–2026), exploring hyperkähler manifolds and related geometries. Labs & Collaborations Active in organizing workshops and seminars, including: HyperK workshop series (2020–2025) Reading seminars on hyperkähler geometry and moduli spaces Working groups on P=W conjecture and D-modules

Sylvain Faisanمشاهده پروفایل

استادیار

• Image Processing
• Machine Learning
• Geometry
• +۶ مورد دیگر

Sylvain Faisan is a permanent Assistant Professor at ICube - MIV (University of Strasbourg, France). His research focuses on image processing, statistical modeling, and geometry, with applications in medical imaging and neuroscience. He works on advanced methodologies integrating machine learning and mathematical frameworks. Key Research Areas: Polarimetric image processing, retinal image registration, 3D statistical model comparison, topology-preserving image deformation, and fMRI brain mapping Technical Expertise: Bayesian inference, non-local means filtering, reversible jump MCMC algorithms, causal modeling, and constrained optimization His publications demonstrate interdisciplinary applications in optics, biomedical imaging, and computational anatomy. He contributes to developing algorithms that maintain physical admissibility and topological integrity in complex imaging problems.

Louis Lambrechtsمشاهده پروفایل

پژوهشگر

• Arbovirus transmission
• Insect-virus interactions
• Mosquito genetics
• +۱۲ مورد دیگر

Louis Lambrechts is a Researcher and Head of the Insect Infection & Immunity Group at the Institut Pasteur in Paris, France, within the Department of Virology. His research focuses on the ecology, evolution, and genetics of mosquito-virus interactions, particularly involving Aedes aegypti and arboviruses such as dengue and Zika. He leads a dynamic research team and multiple national and international projects funded by agencies including ANR and EU consortia. His research interests include arbovirus transmission dynamics, vectorial capacity, mosquito genetics, evolutionary ecology, host-pathogen interactions, and the role of microbiota in vector competence. He employs genomics, quantitative genetics, and experimental evolution to understand the mechanisms underlying variation in mosquito susceptibility to viral infection. His work has important implications for predicting and controlling arboviral disease outbreaks. Lambrecht’s recent publications reveal key insights into the genetic and environmental factors influencing arbovirus transmission, including the role of mosquito population variation in Zika transmission in Africa, the impact of endogenous viral elements, and the discovery of antiviral roles for cytochrome P450 enzymes. His research integrates molecular biology, field studies, and computational modelling, contributing to a comprehensive understanding of vector-borne disease systems. He has mentored numerous PhD students, postdoctoral researchers, and visiting scientists, fostering a collaborative and interdisciplinary research environment. His lab collaborates widely with institutions across Europe, Africa, and the Americas. Lambrecht’s work is supported by multiple ongoing projects such as CAZIKANO, INTRANZIGEANT, ANR PILGRIM, and LIPOARBO-IVI, focusing on Zika virus transmission, genetic drivers of vectorial capacity, and mosquito-virus specificity. His lab is also involved in broader initiatives like the LabEx IBEID and the Emerging Infectious Diseases program at Institut Pasteur.