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Dr. Shyamal Ghosh is an Assistant Professor Grade I in Data Science at the Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). Previously, he served as an Assistant Professor at the Indian Institute of Information Technology Guwahati (2021-2023), a Post-Doctoral Fellow at the University of the Free State, South Africa (2020-2021), and a Visiting Scientist at the Indian Statistical Institute, Kolkata (2019-2020). His educational background includes: M.Sc. in Applied Mathematics from Indian Institute of Engineering Science and Technology, Shibpur (2019), with thesis on "On Certain Probabilistic and Inferential Issues in Nonparametric Ageing Models". B.Sc. (Hons.) in Mathematics from Indian Institute of Engineering Science and Technology, Shibpur (2014). Studies at Vidyasagar University (2009-2012). Dr. Ghosh's research focuses on Dependence Modelling using Copula , Stochastic Degradation Modelling , Statistical Inference , Stochastic Ordering , Shock Model Theory , and Mathematical Theory of Reliability . His work bridges theoretical statistics with applications in reliability engineering, environmental science, and computer systems. He has developed novel statistical tests for ageing classes and methods for stochastic comparisons in heterogeneous systems. His recent publications (2020-2025) span journals in statistics, reliability engineering, and computer science, showing a trend towards interdisciplinary applications. Key areas include nonparametric testing for reliability classes, copula-based dependence modeling, and resource optimization in fog computing. His work often involves moment inequalities, stochastic orders, and lifetime distributions. Dr. Ghosh is actively seeking PhD students with fellowships (e.g., CSIR-JRF, INSPIRE) in Applied Probability and Statistics. He has taught courses such as Statistical Modeling, Survival Analysis, and Mathematical Statistics at IISER TVM and IIIT Guwahati.

• Dependence Modelling using Copula
• Stochastic Degradation Modelling
• Statistical Inference
• +3 more

Suresh Chavhan is an Assistant Professor Grade I in the School of Data Science at the Indian Institute of Science Education and Research (IISER), Thiruvananthapuram. Previously, he served as an Assistant Professor at IIIT Raichur, IIIT Kottayam, and VIT Vellore. His academic journey includes postdoctoral research at the Federal University of Piauí, Brazil, and IISc Bangalore. His educational background includes a Ph.D. from IISc Bangalore, M.Tech. from NIT Surathkal, and B.E. from VTU Belgaum. He holds professional memberships as a Senior Member of IEEE, Member of ACM, and serves on editorial boards including the Alexandria Engineering Journal. Dr. Chavhan's research spans AI-assisted B5G/6G wireless communication, network slicing, AI/ML/deep and federated learning, edge intelligence, V2X, drone communication systems, and intelligent transportation systems. His recent work shows a strong focus on EdgeAI-IoT integration for traffic management, intelligent transportation systems, and next-generation communication networks. His publications demonstrate expertise across multiple high-impact journals including IEEE IoT Journal, IEEE Transactions on Consumer Electronics, IEEE Systems Journal, and Alexandria Engineering Journal. The research shows increasing emphasis on practical implementations of AI in transportation systems, edge computing applications, and security in vehicular networks. 2021 IEEE Systems Journal Best Paper Award 2021 IEEE Madras Section's Publication Award Faculty Research Award from VIT Vellore Honorary Rosalind Membership from London Journals Press International Travel Grant from SERB Cited in UN Sustainable Development Goals for SDG 8 & 11 (2023) Dr. Chavhan leads the Sensing Perception Intelligence & Networking (SPIN) Lab, mentoring multiple PhD students including Ajish, Asir, and Mufeed. He has secured significant research funding including an ANRF grant for three years starting in 2025, ARTPARK-IISc Bangalore, and Bosch projects. His lab actively works on real-time adaptive QoS optimization in 6G-enabled V2X communication, safety frameworks for vulnerable road users using 5G-UWB technology, and real-time location systems using UWB. The SPIN Lab maintains strong industry and international collaborations, with current projects focusing on intelligent transportation systems, connected autonomous vehicles, next-generation communication networks, and edge AI applications for real-time decision-making in networked environments.

• AI-assisted B5G/6G wireless communication
• Network slicing
• AI/ML/Deep and federated learning
• +7 more

Jérémie Gaidamour is a CNRS Research Engineer at the Institut Élie Cartan de Lorraine (University of Lorraine), specializing in high-order numerical methods and high-performance computing (HPC) for quantum mechanics simulations. His work focuses on parallel solvers for large sparse linear systems, including hybrid direct-iterative methods and algebraic multigrid (AMG). PhD Thesis: "Conception d'un solveur linéaire creux parallèle hybride direct-itératif" (2009, Université de Bordeaux I) His research interests span Quantum Mechanics (Bose-Einstein condensates via Gross-Pitaevskii equations), Numerical Methods (pseudo-spectral techniques, domain decomposition), and High-Performance Computing (MPI, parallel algorithms). Recent publications highlight advancements in fractional gradient flows and energy-minimizing AMG preconditioners for nonlinear Schrödinger equations. Software development projects include BEC2HPC (parallel spectral methods for BECs), MueLu (AMG solver in Trilinos), and HIPS (hybrid direct-iterative sparse solver). He has contributed tutorials on HPC tools (MPI, OpenMP, GPU/Xeon Phi) and participated in Grid'5000/IDRIS support teams.

• Quantum Mechanics
• Numerical Methods
• High Performance Computing
• +5 more

Arnaud Revel is a Professor at the University of La Rochelle, holding the position of Deputy Director of the Science and Technology Department since April 2015 and Deputy Director of the S2IM doctoral school (Sciences and Engineering for Information, Mathematics) since June 2012. His academic career spans multiple institutions including ENSEA, where he was initially recruited in 1998, and the University of La Rochelle where he was promoted to professor in 2009. He has served in various administrative roles including co-directing the IMAGIN team at L3I laboratory and as deputy director of the L3I laboratory for AERES evaluation. Revel's research interests focus on three interconnected themes: Learning (structuring complex information and data mining), Human/Machine Interaction (modeling interaction dynamics in robotics and multi-agent systems), and Art and Science (notably the LINK Human/Robot project collaborating with the Cambrai School of Art). His work bridges theoretical computer science with practical applications in robotics, digital art, and interactive systems. Recent publications demonstrate his continued focus on mobile agent security, human-robot interaction, and content-based image retrieval, with notable collaborations across disciplines and international borders. His work on the LINK Human/Robot project, despite not receiving ANR funding, has been presented at prestigious venues including Le Fresnoy (2012), Bains numériques (2012), Futur en Seine (2013), VIA (2014), University of La Rochelle (2014), and Le Cube (2015), culminating in a collaborative art and science book published by Van Dieren in 2015. Professor Revel has supervised multiple doctoral students including K.Prepin (co-supervision, 2008), M.Rojas-Castro (co-supervision since 2012), and H.Idrissi (co-supervision since 2013 in a cotutelle with Morocco). His teaching activities span various institutions including the University of La Rochelle where he teaches Logic Programming, Smartphone programming, and Video Game Programming at the undergraduate level, and Data Mining and Python Programming at the Master's level.

• Machine Learning
• Human-Computer Interaction
• Robotics
• +6 more

Fabian Reiter is an Associate Professor at Gustave Eiffel University , specializing in Theoretical Computer Science within the DataBases, Automata, algorithm Analysis and Models (BAAM) team at the Gaspard Monge Laboratory of Computer Science (LIGM) . His research bridges logic and distributed computing , focusing on extending descriptive complexity theory to distributed systems. His work establishes equivalences between distributed algorithm classes and logical formula classes, mirroring classical results like Fagin’s theorem . This includes groundbreaking connections between asynchronous automata and least fixpoint logic . Academic appointments : 2019–now : Associate Professor at Gustave Eiffel University 2019-03–2019-07 : Postdoc at Technical University of Munich (funded by ERC project PaVeS ) 2018–2019 : Postdoc at University of Paris-Saclay (funded by ERC project EQualIS ) Education : PhD (2014–2017) under Olivier Carton at IRIF, Paris Diderot University Master’s (2013–2014) under Fabian Kuhn and Andreas Podelski at University of Freiburg

• Theoretical Computer Science
• Distributed Computing
• Descriptive Complexity Theory
• +3 more

Anca Muscholl is a Professor at the University of Bordeaux, affiliated with LaBRI (Laboratoire Bordelais de Recherche en Informatique), a prominent computer science research laboratory in France. Her research focuses on theoretical aspects of computer science, particularly in automata theory, logic, games, verification and synthesis, distributed systems, and foundations of databases. Her research interests span across several key areas in theoretical computer science: Automata theory, with particular focus on string transducers and weighted automata Formal verification and synthesis of distributed systems Logic in computer science, including two-variable logic on data words Communication models and message passing systems Web services composition and negotiation protocols Professor Muscholl has been actively involved in the theoretical computer science community through numerous editorial and leadership roles. She currently serves on the editorial boards of TheoretiCS, Logical Methods in Computer Science, and LIPIcs. She is also a member of the Council of the European Association for Theoretical Computer Science (EATCS) and the Comité national de la recherche scientifique (section 06). Her recent publications demonstrate continued productivity and influence in her field, with significant contributions to string transducers, distributed systems verification, and automata theory. Her work shows a consistent focus on theoretical foundations with practical applications in verification and distributed computing. Her professional service includes significant leadership roles such as: Steering committee chair of the EATCS International Colloquium on Automata, Languages and Programming (2018-2024) Editorial board member of Discrete Mathematics & Theoretical Computer Science (2001-2023) Editorial board member of Information Processing Letters (2006-2015) Steering committee member of the Symposium on Theoretical Aspects of Computer Science (STACS) (2008-2014) Executive committee member of GDR Informatique-Mathématique (2017-2023) Professor Muscholl has made substantial contributions to the theoretical computer science community through her research, service, and mentorship. Her work bridges theoretical foundations with practical applications in verification and distributed systems, contributing to the advancement of formal methods and their applications.

• automata theory
• logic
• games
• +3 more

Emmanuel Adam is an Associate Professor at the Department of Computer Sciences, University of Valenciennes and Hainaut-Cambrésis, France. His research focuses on Holonic Multi-Agent Systems for complex organizational modeling, with applications in manufacturing control, urban logistics, and tangible interaction technologies. Key research areas: Self-adaptation, cooperative systems, Bayesian networks, and distributed cognition Co-designer of TangiSense interactive table with RFID technology Developed holonic architectures for SACR-FRM wheelchair selection system and LUMD urban logistics optimization Scientific Leadership Organized multiple PAAMS and JFSMA conferences Co-supervised 4 PhD students in agent-based manufacturing and logistics Recipient of Best Paper Award at Ambient Systems 2013 Academic Contributions Developed multilevel MAS architectures for vehicle communication Created DEV-TangiSense development toolkit for tangible interaction Published extensively on resource mutualization and self-organizing systems

• Multi-Agent Systems
• Holonic Architectures
• Self-Adaptation in Complex Systems
• +7 more

Nizar Messai is a Researcher at the University of Tours , affiliated with the Faculty of Science and Technology and Polytechnic School of the University of Tours (EPU) . He works within the Laboratory of Fundamental and Applied Computer Science (LIFAT, UR 6300) , focusing on semantic technologies and distributed systems. Research Interests : Semantic Web Services Composition Formal Concept Analysis (FCA) for Data Mining Blockchain Applications in Trustworthy Systems Context-Aware IoT Mashups Linked Open Data Integration Scientific Contributions : Developed semantic similarity measures for service discovery Created the LDS Java library for LOD-based similarity Explored blockchain for decentralized choreography execution Integrated attention mechanisms in travel mashup systems Applied FCA to clinical decision support systems Collaborations & Labs : Active member of the LIFAT (UR 6300) laboratory, contributing to projects at the intersection of computer science, semantic technologies, and biomedical informatics.

• Semantic Web
• Web Services Composition
• Formal Concept Analysis
• +6 more

Valentin Nyzam is a Researcher at the University of Tours , affiliated with the Polytechnic School and Department of Networks and Telecommunications (RT) . He works at the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT, UR 6300) and is associated with the University Institute of Technology of Blois (IUT Blois) . Research Focus: Specializes in Natural Language Processing with emphasis on automatic summarization and comparative summarization Develops modular open-source tools (MOTS) for multi-document summarization Active in deep learning applications for text analysis and word embeddings Conducts cross-lingual research and short text language identification Focus on French language processing and implementation of NLP tools Contact: valentin.nyzam@univ-tours.fr

• Natural Language Processing
• Deep Learning
• Text Summarization
• +3 more

Quentin Bouton is a Researcher at the Laser Physics Laboratory of Paris 13 University , specializing in quantum physics, atomic physics, and matter-wave interferometry. His work focuses on quantum depletion, Casimir-Polder interactions, and ultracold atom systems.

• Quantum Physics
• Atomic Physics
• Matter-Wave Interferometry
• +3 more

Christian Chardonnet is a Research Director at Université Paris 13 (Sorbonne Paris Nord University), where he works at the Laboratoire de Physique des Lasers (LPL). His research focuses on precision metrology, optical frequency transfer, and fundamental physics measurements. He has maintained an active publication record spanning over two decades, with recent work extending to 2025. His primary research interests include: Frequency metrology and optical frequency transfer Laser spectroscopy for precision measurements Determination of fundamental constants, particularly the Boltzmann constant Optical fiber links for time and frequency dissemination Parity violation studies in chiral molecules through high-resolution spectroscopy Chardonnet's work has significant implications for redefining the International System of Units (SI) and advancing precision measurement science. Analysis of his publication trends reveals a strong focus on developing ultra-stable optical fiber links for connecting atomic clocks across long distances, with unprecedented stability levels. His research has enabled new possibilities for international clock comparisons, precision spectroscopy, and the determination of fundamental constants. His work spans both theoretical foundations and practical implementations using standard telecommunication infrastructure. Chardonnet has collaborated extensively with major metrology institutes across Europe, including Observatoire de Paris and Laboratoire National de Métrologie et d'Essais, and has been involved in significant projects like REFIMEVE, France's national fiber network for time and frequency dissemination. As a researcher with the CNRS (Centre National de la Recherche Scientifique), he has supervised numerous PhD students and postdoctoral researchers, contributing significantly to France's leadership in precision metrology. His technical expertise encompasses femtosecond laser technology, optical frequency combs, high-resolution spectroscopy, and advanced signal stabilization techniques over fiber optic networks.

• Frequency metrology
• Optical frequency transfer
• Laser spectroscopy
• +7 more

Joffrey Viguier is an Associate Professor at the Laboratory of Mechanical, Modelling and Production (LaBoMaP) within Arts et Métiers Institute of Technology. His work focuses on wood mechanics, structural grading, and advanced imaging techniques for timber quality assessment. Academic Rank: Associate Professor Primary Affiliation: LaBoMaP, Arts et Métiers Institute of Technology Research Interests : Wood fiber orientation and 3D reconstruction Timber strength grading and defect analysis Finite element modeling of wood structures Heat treatment and durability of plywood Traceability systems via image processing Open science initiatives like TreeTrace and WoodSun Scientific Contributions include 15+ publications from 2015–2025 on topics spanning fiber orientation measurement, knot impact on mechanical properties, and optimization of laminated veneer lumber. His work integrates laser scanning, X-ray imaging, and finite element analysis for structural applications. Key Collaborations involve projects such as TreeTrace (Douglas fir traceability database) and WoodSun (3D wood structure visualization).

• Wood Science
• Mechanical Engineering
• Materials Science
• +3 more

Aurélien Bellet is a senior researcher (directeur de recherche) at Inria, France, affiliated with the PreMeDICaL Team (Precision Medicine by Data Integration and Causal Learning), an Inria/Inserm research group based in Montpellier, and an associate member of the Magnet Team (MAchine learninG in information NETworks) based in Lille. His research focuses on the theory and algorithms of machine learning, particularly designing large-scale learning algorithms that balance statistical performance with computational complexity, communication efficiency, privacy, and fairness. His key research areas include distributed/federated/decentralized learning algorithms, privacy-preserving machine learning, representation learning, distance metric learning, optimization for machine learning, graph-based methods, statistical learning theory, and fairness in machine learning, with applications to NLP, speech recognition, and health. Bellet has published extensively in top machine learning and security conferences including ICML, ICLR, CCS, AISTATS, and NeurIPS. His recent work (2024-2025) focuses on privacy amplification in decentralized learning, federated causal inference, privacy attacks in decentralized systems, and improved theoretical guarantees for decentralized optimization algorithms. He is actively involved in promoting public awareness of AI, privacy, and transparency issues, having contributed to media outlets like La Croix, Libération, and participated in events organized by CNIL (French Data Protection Authority). Bellet has developed several open-source libraries including declearn for federated learning, FLamby for healthcare federated learning benchmarks, and metric-learn for metric learning algorithms, all under permissive open-source licenses. He has taught courses on privacy-preserving machine learning at the University of Lille and Ecole Centrale de Lille, and previously taught advanced machine learning courses at Télécom Paris.

• Machine Learning
• Privacy-Preserving Algorithms
• Federated Learning
• +7 more

Loïc Lagadec is a Professor in Computer Science at ENSTA-Bretagne, an engineering school in Brest, France, where he serves as Assistant Head of Research Delegate for Cybersecurity Activities and is a member of LabSticc. His career spans academic leadership, research in reconfigurable architectures, cybersecurity, and hardware-software co-design. Affiliation: ENSTA-Bretagne, LabSticc Research Focus: FPGA CAD tools, Homomorphic Encryption, RISC-V security His research explores CAD tools for unconventional architectures (e.g., NASICs), homomorphic encryption evaluation, and hardware acceleration. He employs Smalltalk-based object-oriented languages for domain modeling and software quality. Current projects include on-chip monitoring for zero-day attack detection and secure RISC-V extensions. Recent publications highlight trends in machine learning hardware acceleration , JIT compiler security , and deep-sea IoT environmental constraints . Grants include DGA-funded "Overlays for long time maintenances" (2014-2016) and "Secure Overlays" (2017-2020), and Région Bretagne CPER Cyber-SSI (2015-2020). He has supervised PhD students including Xuan Sang Le , Théotime Bollengier , and Cyrielle Feron , and collaborates with institutions like Lab-STICC and European MORPHEUS IP FP6 projects. His work bridges theoretical innovation with practical embedded systems implementation.

• CAD tools for FPGAs
• Homomorphic Encryption
• Cybersecurity
• +5 more

Amine Brahmia is an Associate Professor in the Department of Computer Engineering at CESI's School of Engineering, specializing in Internet of Things, Cybersecurity, and Network Optimization with significant contributions to Smart Cities infrastructure. His research bridges theoretical algorithms with practical IoT applications in urban and healthcare environments. His academic credentials include a Doctorate in Computer Science (2012) from France Telecom & University of Haute Alsace, a Master's degree in Computer Science (2008) from University of Versailles Saint-Quentin-en-Yvelines, and a Computer Engineering Diploma (2006) from University of Guelma. Dr. Brahmia's research focuses on solving complex optimization problems in distributed systems through metaheuristic algorithms and AI techniques. He has pioneered work in federated learning for edge computing, blockchain consensus protocols, and wireless sensor network deployment, with publications demonstrating consistent innovation in security mechanisms and resource optimization for constrained environments. His 15 most recent publications (2013-2023) reveal three dominant research trajectories: 45% on IoT and sensor networks (focusing on deployment optimization and security), 35% on blockchain and distributed ledger technologies (particularly consensus protocols), and 20% on federated learning applications for edge computing. This interdisciplinary approach integrates operational research with cybersecurity to address real-world challenges in smart infrastructure. Dr. Brahmia currently supervises six doctoral students: Aimen KHIAR: Hybrid metaheuristics and federated learning for electric vehicle battery recharging (2024-2027) Ahmed BAAHMED: Computational efficiency of federated learning on edge-cloud infrastructure (2023-2026) Meriem ARBAOUI: Federated learning for IoMT networks with resource optimization (2023-2026) Mortada TERMOS: Security anomaly detection in IoT using complex networks (2022-2025) Kenza RIAHI: Optimal consensus protocols for private blockchains (2021-2024) Khoula ZAIMEN: Sensor deployment optimization in smart buildings (2021-2024) He leads the Engineering and Digital Tools research team at CESI LINEACT and previously directed the CESI Strasbourg Fablab (2016-2018), where he advanced IoT prototyping capabilities. As a certified CISCO Instructor since 2015, he teaches Systems and Protocols, Routing, Switching, and Cybersecurity across multiple engineering programs using project-based learning methodologies.

• Internet of Things
• Cybersecurity
• Network Optimization
• +5 more