جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Quantitative Marketing
• Data Science
• +۷ مورد دیگر

Julien Cloarec is a Full Professor of Quantitative Marketing at iaelyon School of Management, Université Jean Moulin Lyon 3, where he also serves as Vice-President for Digital Strategy and Artificial Intelligence. He is an internationally recognized expert in artificial intelligence, with a focus on responsible AI development that balances innovation with privacy protection. His research interests center on Artificial Intelligence , Privacy in AI , Consumer Behavior , and Digital Marketing . He investigates how users perceive and adopt AI technologies, particularly in domains like autonomous vehicles, brain–machine interfaces, and eHealth, emphasizing the psychological and ethical dimensions of trust and privacy. His recent publications (2022–2025) reflect a strong thematic focus on the personalization-privacy paradox , algorithmic aversion , and transparency in AI systems . These works appear in leading journals across marketing, technology, and transportation research, demonstrating interdisciplinary impact. Scientific Awards: Prix AFM - Association Française du Marketing pour la meilleure communication (2022) Julien Cloarec actively collaborates with regulatory bodies, professional associations, and academic institutions to influence public policy and promote responsible AI. He leads research at the Magellan Laboratory @iaelyon and manages educational initiatives such as the Certificate in Artificial Intelligence for Marketing . He advises on doctoral research and has contributed to publications on the doctoral experience in management. Laboratory Affiliation: Magellan Laboratory @iaelyon - Research in Organizational Management

Michalis Vazirgiannisمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Graph Analysis
• +۱۱ مورد دیگر

Michalis Vazirgiannis is a Professor at LIX, École Polytechnique in France, where he leads the Data Science and Mining group (DaSciM). He holds a degree in Physics and a PhD in Informatics from Athens University (Greece), and a Master's degree in AI from Heriot Watt University, Edinburgh (UK). His academic career spans multiple prestigious institutions including Fraunhofer and Max Planck MPI in Germany, INRIA/FUTURS in Paris, AUEB in Greece, Telecom-Paristech, ENS in France, Tsinghua and Jiaotong Shanghai in China, and Deusto University in Spain. Professor Vazirgiannis's research focuses on machine and deep learning methods for graph analysis, including community detection, graph clustering, node embeddings, and influence maximization. His work in text mining encompasses Graph of Words, word embeddings with applications to web advertising and marketing, event detection, and summarization. He has active collaborations with industrial partners in analytics and machine learning for large-scale data repositories across various application domains such as recommendations, meeting summarization, influence metrics for scientific and social networks, and predictive maintenance. His recent publications demonstrate a strong emphasis on Graph Neural Networks, multilingual NLP (particularly for French and Arabic), and applications of deep learning to diverse domains including social networks, legal text, and biomedical data. There's a clear trajectory toward developing more efficient, explainable, and specialized models that address real-world challenges in data analysis. ERCIM fellowship Marie Curie EU fellowship Tencent "Rhino-Bird International Academic Expert Award" (2017) Best Paper Award at IJCAI 2018 Best Paper Award at CIKM 2013 Professor Vazirgiannis has supervised 29 completed PhD theses and has attracted significant R&D funding from national and international sources, including research agencies and industrial partners such as Google, Airbus, Huawei, Deezer, BNP, and LVMH. He leads or has led several academic research chairs including DIGITEO (2013-15), ANR/HELAS (2020-25), and AXA (2015-2018). The DaSciM research group, which he leads at École Polytechnique, has extensive experience in real-world R&D projects involving large-scale data mining. The team maintains active collaborations with major industrial partners including AIRBUS, Google, BNP, Tencent, and Tradelab, working on cutting-edge machine learning projects. The group has co-organized major conferences such as ECML PKDD 2011 and ECML/PKDD 2017 and participates in the senior organization of AI and data mining events like AAAI and IJCAI.

Chadi Barakatمشاهده پروفایل

پژوهشگر

• Internet Measurement
• Network Traffic Analysis
• Quality of Experience (QoE)
• +۳ مورد دیگر

Chadi Barakat is a Senior Researcher (Directeur de Recherche) at Université Côte d'Azur's Inria research center, leading the DIANA project-team. He holds a PhD in Computer Science from University of Nice Sophia Antipolis (2001) and Habilitation (HDR) in 2009, with academic credentials from Lebanese University (1997) and French institutions. PhD: Computer Science (2001), University of Nice Sophia Antipolis HDR: Computer Science (2009), University of Nice Sophia Antipolis Master's: Computer Science (1998), University of Nice Sophia Antipolis BSc: Electrical & Electronics Engineering (1997), Lebanese University His research focuses on Internet measurement and traffic analysis , with significant contributions to Quality of Experience (QoE) modeling, 5G/ICN/SDN network architectures , and network performance evaluation . Recent articles highlight browser-based network monitoring, fidelity-aware network emulation, and ray tracing optimization for radio frequency mapping. He has supervised 12 PhD students to completion and currently directs the Academy of Excellence 'Networks, Information, and Digital Society' at Université Côte d'Azur. His work has received multiple best paper awards at CNSM, CloudNet, and SECON conferences, while serving as associate editor for Elsevier Computer Networks journal and active in ACM/IEEE conference committees. Director, Academy of Excellence 'Networks, Information, and Digital Society' (2025-present) Senior IEEE Member (2010) & ACM Senior Member (2018) General Co-Chair: ACM IMC 2022, ACM CoNEXT 2012 Guest Editor: IEEE JSAC special issue on Internet Sampling

Vassilis Christophidesمشاهده پروفایل

استاد

• Databases
• Web Information Systems
• Big Data Processing
• +۹ مورد دیگر

Vassilis Christophides is a Professor of Computer Science at the University of Crete and holds an advanced research position at Inria Paris, where he leads work in the MiMove team. His research spans databases, web information systems, big data processing, and IoT analytics, with a strong emphasis on entity resolution, data integration, and scalable data mining. He has supervised numerous research projects funded by the European Union and the Greek State, and has published over 130 articles in top-tier conferences and journals. Research Interests: His primary research areas include Databases, Web Information Systems, Big Data Processing and Analytics, and Information Systems for the Internet of Things. He also focuses on entity resolution, knowledge graphs, streaming data, and explainable AI, particularly in the context of anomaly detection and fairness-aware data systems. His recent work explores hybrid attention models for entity alignment and causal analysis in time series classification. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on entity resolution with fairness constraints, explainable anomaly detection, and adaptive scheduling in IoT edge analytics. He also investigates deepfake detection, crop type mapping using satellite data, and structural bias in knowledge graphs, demonstrating a broad and impactful research portfolio at the intersection of data management and machine learning. Scientific Awards: 2004 SIGMOD Test of Time Award Best Paper Award, ISWC 2003 Best Paper Award, ISWC 2007 Advising and Grants: While specific student names are not listed in the provided texts, Christophides has co-authored numerous papers with researchers such as Vasilis Efthymiou, Ioannis Tsamardinos, and Nikolaos Myrtakis, suggesting active mentorship. He has been the scientific coordinator of multiple EU and national research projects, indicating substantial grant leadership and project management experience. Labs and Teams: He is affiliated with the MiMove team at Inria Paris, a research group focused on mobility and data-intensive systems. His work bridges academic and applied research, leveraging Inria’s infrastructure for large-scale data experimentation and innovation in IoT and edge computing environments.

Mehdi Khamassiمشاهده پروفایل

استاد پژوهشی

• Decision Making
• Reinforcement Learning
• Cognitive Neuroscience
• +۵ مورد دیگر

Mehdi Khamassi is a Research Director at the French National Center for Scientific Research (CNRS), assigned to the Institute of Intelligent Systems and Robotics (ISIR) at Sorbonne University in Paris, France. He holds an engineering background in computer science (specializing in AI and statistical modeling) from the National School of Computer Science for Industry and Business (2003), a Cogmaster in cognitive science from Pierre and Marie Curie University (2003), and a PhD in cognitive neuroscience from UPMC/Collège de France (2007). Recruited by CNRS in 2010, he co-organizes the Symposium of Biology of Decision-Making (SBDM) and co-directs the modeling major for the Cogmaster program. His research integrates computational modeling , neuroscience experiments , and robotic systems to study decision-making and learning mechanisms. Key interests include: Reinforcement learning in biological and artificial systems Role of social/non-social rewards in adaptive behavior Ethical implications of autonomous decision-making in AI Neuro-robotic models of hippocampal-prefrontal interactions Recent publications (2023-2025) demonstrate strong focus on reinforcement learning paradigms, AI alignment with human values, neurorobotics, and computational neuroscience. Work frequently bridges machine learning theory with empirical validation in biological systems or robotic platforms. He leads research within the ACIDE team at ISIR, exploring adaptive coordination of learning strategies in brains and robots. Current collaborations include NTUA (Greece), University of Oxford, and University of Trento.

Vitor Limaمشاهده پروفایل

استادیار

• Consumer Culture Theory
• Artificial Intelligence
• Biohacking
• +۶ مورد دیگر

Vitor Lima serves as Assistant Professor of Marketing at ESCP Business School's Madrid campus. His academic journey includes a Postdoctoral Fellowship at Schulich School of Business/York University, establishing his international research profile. PhD in Business Administration (Marketing) from IAG/PUC-Rio and Schulich School of Business/York University MSc in Business Administration from FGV/EBAPE MBA in Marketing from FGV BA in Advertising with Branding extension from ESPM Digital Marketing Strategy Executive Certificate from Harvard University Professor Lima's research explores the intersection of emerging technologies and consumer behavior through critical theoretical lenses. His work examines how biohacking, transhumanism, and AI reshape human identity and consumption practices. He investigates consumer experiences with cyborg technologies, self-tracking devices, and human enhancement, often employing enactive and posthumanist frameworks to analyze these phenomena. His research methodology frequently incorporates arts-based and speculative approaches to examine technological futures. His recent publications reveal a strong focus on posthuman consumer identities, with significant contributions to understanding biohacking cultures, NFT implications, and human-robot interactions. The interdisciplinary nature of his work bridges marketing, philosophy of technology, and medical humanities, creating novel theoretical syntheses for analyzing technologically mediated consumption. AMS Mary Kay Doctoral Dissertation Award AMS Review - Sheth Foundation Doctoral Competition for Conceptual Articles (ADCCA) ACR Best Working Paper Award Professor Lima actively engages with media outlets including the BBC, translating complex academic concepts for broader public discourse. His collaborations extend beyond academia into practical applications of marketing theory, particularly regarding digital transformation and emerging technology adoption. His research on biohacking and human enhancement technologies has generated significant cross-disciplinary interest, influencing both academic and industry discussions about the future of consumer experiences.

Duong Hieu Phanمشاهده پروفایل

استاد

• Cryptography
• Provable Security
• Functional Encryption
• +۷ مورد دیگر

Duong Hieu Phan is a Professor at Telecom Paris, part of the Institut Polytechnique de Paris, and Head of the Cybersecurity-Cryptography team. He holds a Ph.D. in Computer Science from Ecole Normale Supérieure and has extensive postdoctoral experience at University College London and research roles at France Telecom R&D. His academic career includes roles as an assistant/associate professor at LAGA, University of Paris 8 (2007–2015), and later as a professor and director of the Master 2 Maths CRYPTIS program at XLIM, University of Limoges (2015–2020). His research focuses on cryptography, with emphasis on provable security, functional encryption, privacy-preserving systems, and anamorphic cryptography. Key areas include secure communication mechanisms against oppressive surveillance, decentralized systems, and post-quantum security. He has contributed to foundational work on CCA security for FHE, quantum-resistant protocols, and verifiable functional encryption. Prof. Phan is actively involved in professional committees, including IACR ASIACRYPT and PKC steering committees, and editorial boards such as the IACR CIC Journal. He promotes Franco-Vietnamese scientific collaboration through roles in the CNRS IRL partnership. His teaching spans cryptography, algorithms, and mathematics at undergraduate and master’s levels, including program coordination and research supervision.

Claudia Rodaمشاهده پروفایل

استاد

• Artificial Intelligence Ethics
• Digital Technology and Human Rights
• Attention Computing
• +۳ مورد دیگر

Claudia Roda is a Professor of Computer Science and Director of the Master’s program in Human Rights and Data Science at The American University of Paris (AUP). She co-founded the Technology and Cognition Lab and the Working Group on Human Rights and Digital Technology, and holds the UNESCO Chair in Artificial Intelligence and Human Rights with Prof. Perry. Her research focuses on digital technology’s impact on human behavior and social structures, including attention computing and multi-agent systems. Education: Bachelor’s in Computer Science from the University of Pisa, Italy; Master’s and PhD in Engineering from the University of London (Queen Mary and Westfield College). She has held leadership roles including Director of the Division of Arts and Science (2008–2011), Director of AUP’s collaboration with The New School (2010–2013), and Dean (2015–2018). Research interests include ethical AI, privacy by design, and the societal implications of digital technologies. Recent publications address AI governance, mental privacy, and regulatory frameworks. She has been awarded the AUP Board of Trustee Award for Research (2007), the Provost Award for Innovation (2021), and the Graduate Student Government Award (2023). Grants and collaborations include the €781K GaSP project (2015–2018) and the €1.1M PRIPARE project (2013–2015). She frequently speaks at global conferences on AI ethics, privacy, and human rights, including UNESCO’s Digital Learning Week (2024) and AI Governance Global (2024). Labs/Teams: Technology and Cognition Lab, UNESCO Chair collaboration, and the Working Group on Human Rights and Digital Technology. Current projects include exploring AI regulations and privacy challenges in digital environments.

Zakaria BABUTSIDZEمشاهده پروفایل

استاد

• Behavioral Economics
• Environmental Economics
• Consumer Behavior
• +۶ مورد دیگر

Zakaria BABUTSIDZE is a Professor of Economics at SKEMA Business School in France, where he has been teaching since 2011, progressing from Assistant Professor to Associate Professor and finally to full Professor in 2021. His academic affiliations also include positions at Côte d'Azur University, Sciences Po Paris (where he serves as an Economist at OFCE since 2011), and previous visiting positions at institutions including Griffith University, North Carolina State University, and Maastricht University. His research interests span behavioral and environmental economics, with a particular focus on consumer decision-making in digital contexts, green consumer behavior, social networks, and agent-based modeling of economic phenomena. BABUTSIDZE has made significant contributions to understanding how digital environments shape consumer interactions, environmental attitudes, and trust formation. His recent publications demonstrate a strong trend toward interdisciplinary research combining economics with psychology, computer science, and environmental studies. His work frequently employs experimental methods, both laboratory and field-based, to examine consumer behavior in digital environments, the impact of social networks on market dynamics, and the relationship between media consumption and environmental attitudes. SMBG special prize for innovation 2015 (awarded to MSc Digital Business in capacity of Academic Director) The Best Young Scholar Paper Award 2011 (DIME final conference / DIME network of Excellence) The Outstanding PhD Paper Award 2009 (European Meeting on Applied Evolutionary Economics) As an academic advisor, BABUTSIDZE has supervised multiple doctoral students at SKEMA Business School and Université Côte d'Azur. His research has been supported by numerous grants from Université Côte d'Azur, the Sloan Foundation, and other institutions. He is also actively involved in conference organization and serves as a reviewer for numerous prestigious economics and interdisciplinary journals.

Andreas Honeckerمشاهده پروفایل

استاد

• Condensed Matter Physics
• Strongly Correlated Electron Systems
• Magnetocaloric Materials
• +۴ مورد دیگر

Andreas Honecker is a Professor at the Theoretical Physics and Modeling Laboratory (CNRS UMR 8089) of CY Cergy Paris Université, where he has been employed since September 2014. He currently serves as Adjoint Director of the Institut des Sciences et Techniques (since April 2023) and was previously Director of the Physics Department (October 2020-April 2023). He also co-directs the Master Program in Physics at CY Cergy Paris Université. Professor Honecker's research focuses on condensed matter physics, particularly strongly correlated electron systems, quantum magnetism, and magnetocaloric materials. His work bridges theoretical physics with practical applications in quantum information and low-temperature refrigeration. He has made significant contributions to understanding quantum phase transitions, frustrated spin systems, and the magnetocaloric effect, with a notable Nature publication in 2021 on critical points in SrCu 2 (BO 3 ) 2 . His research activities are characterized by a strong emphasis on numerical methods for many-body systems, including quantum Monte Carlo techniques, density matrix renormalization group approaches, and advanced diagonalization methods. He has organized numerous international workshops on quantum materials, magnetocaloric effects, and quantum information, reflecting the interdisciplinary nature of his work. Among his notable recognitions are the APS Outstanding Referee award (2019) and being named a distinguished referee of The European Physical Journal (2015). He previously held a prestigious Heisenberg fellowship from the Deutsche Forschungsgemeinschaft (2007-2011). Honecker has extensive experience in academic service, including membership in the Conseil National des Universités (section 29, 2017-2023) and the Commission de la formation et de la vie universitaire at Université de Cergy-Pontoise (2016-2019). His collaborative work spans institutions across Europe, including previous positions at Göttingen University, ETH Zürich, and TU Braunschweig.

Olivier ALLIXمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Mechanics
• Multiscale Modeling
• +۷ مورد دیگر

Olivier ALLIX is a Professor at the Laboratoire de Mécanique et Technologie (LMT) at École Normale Supérieure de Cachan (ENS-Cachan). His research focuses on computational mechanics, including multiscale modeling of composite materials, structural failure analysis, and non-intrusive coupling strategies. He has held leadership roles such as Head of LMT-Cachan and Vice-president of the International Association for Computational Mechanics (IACM). Expertise: Computational structural mechanics, material failure, inverse problems, and multiscale approaches. Editorial Roles: Associate editor of multiple journals including Computational Mechanics and Computer Methods in Applied Mechanics and Engineering . Awards: IACM Fellow, Euromech Fellow, and recipient of the Gay-Lussac Humboldt Prize (2019). His work integrates experimental mechanics with computational methods, emphasizing big data applications and model validation. He has organized major conferences like the World Congress on Computational Mechanics and co-led international research initiatives such as the IRTG ‘Virtual Material and Structures’ with Hannover University. Teaching includes advanced courses on structural dynamics, composite materials, and computational mechanics at the Master’s level. His research group collaborates with industries like Safran, IFPEN, and DGA on projects involving fatigue analysis, mooring systems, and composite testing.

Elena Panteleyمشاهده پروفایل

پژوهشگر

• Nonlinear Control Systems
• Networked Systems
• Multi-Agent Systems
• +۵ مورد دیگر

Elena Panteley is a Research Director at the CNRS and a member of the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec. She holds a PhD in Applied Mathematics from Saint Petersburg State University (1997) and has extensive experience in research, including roles at the Institute of Problems in Mechanical Engineering, Russian Academy of Sciences (1986–1998). She co-chairs the International Graduate School of Control at the European Embedded Control Institute (EECI-IGSC) and serves as a Book-reviews Editor for Automatica and Associate Editor for IEEE Control Systems Letters . Education: PhD in Applied Mathematics, Saint Petersburg State University, 1997 MSc/BSc in relevant fields (implied by career progression) Research Interests: Focuses on stability and control of nonlinear dynamical systems, networked systems, multi-agent systems, and their applications. Her work emphasizes robust control, consensus algorithms, synchronization, and distributed control strategies for autonomous systems. She explores theoretical frameworks like Lyapunov methods and adaptive control, with practical applications in robotics and communication networks. Publications: Over 100 peer-reviewed articles in top journals like IEEE Transactions on Automatic Control and Automatica . Recent trends include advancements in consensus algorithms for multi-agent systems, synchronization of nonlinear oscillators, and control under communication delays. Awards: No specific awards mentioned, but contributions to control theory and networked systems are widely recognized. Grants/Advising: Leads research on adaptive control, network synchronization, and robotics. Collaborates internationally and advises on projects involving autonomous vehicles and distributed systems. Labs/Teams: Active in L2S and affiliated with CNRS, contributing to teams like MODESTY, COMEDY, and SYCOMORE. Engaged in transverse research on energy, industry automation, and healthy systems.

• Software Engineering
• Programming Languages
• Systems
• +۴ مورد دیگر

Manuel Rigger is an Assistant Professor at the National University of Singapore (NUS), leading the TEST Lab (Trustworthy Engineering of Software Technologies) within the PL/SE group at the School of Computing. His research focuses on improving the reliability of data-centric systems through automated testing frameworks and formal methods. Education : PhD from Johannes Kepler University Linz (supervised by Hanspeter Mössenböck), postdoctoral work at ETH Zurich (Advanced Software Technologies Lab under Zhendong Su). Research Interests : Automated testing of database systems Programming language design and verification Incremental build systems Formal methods for software reliability Key Contributions : Developed tools like SQLancer (for finding bugs in databases) and CERT (performance issue detection). His work has uncovered over 800 bugs in real-world systems. Awards : Recipient of the ERC Consolidator Grant (2025) for groundbreaking research in software security and testing. Service Roles : Organizer of ICFP/SPLASH 2025 Outdoor Activities, committee member for OOPSLA Review, PLDI Artifact Evaluation, and ICSE Program Committee. Also actively involved in organizing workshops (e.g., Fuzzing & Software Security Summer School 2025).

Grazia Cecereمشاهده پروفایل

استاد

• Digital Economics
• Privacy Economics
• Algorithms and Machine Learning
• +۳ مورد دیگر

Grazia Cecere is a full Professor in Economics at the Institut Mines-Télécom Business School (IMT-BS) , where she currently serves as Director of Research and Associate Dean for Research and Doctoral Programs . Her academic career spans multiple institutions including University of Paris Saclay, University of Turin, College of Europe, ZEW Mannheim, and SPRU at the University of Sussex. PhD in Economics (University of Paris Saclay and University of Turin) Master's Degree (College of Europe, Natolin, Poland) Visiting Researcher experience in Germany and UK Her research focuses on digital economics , particularly privacy economics , algorithmic bias , machine learning applications , and mobile app monetization strategies . Recent work examines social network algorithmic discrimination, personal data economics, and pandemic-era digital transformation impacts. Notable awards include the 2021 Social Science Foundation Research Prize and the 2019 Marie-Dominique Hagelsteen Award for responsible advertising. She serves as scientific expert for Arcom (French audiovisual regulator) and evaluator for INRAE (2020-2024). Active in research funding, she coordinates projects like YPOG and ID2 Drive funded by DataIA Institute, and has secured grants from ANR, DAWEX, and INRAE. She co-organizes the Paris Digital Economics seminar series since 2017.

Anne-Virginie SALSACمشاهده پروفایل

پژوهشگر

• Bioengineering
• Biomechanics
• Microfluidics
• +۵ مورد دیگر

Anne-Virginie SALSAC is a leading researcher in bioengineering and biomechanics at the University of Technology of Compiègne (UTC), France. She heads the Biomechanics and Bioengineering Laboratory (BMBI, UMR CNRS 7338) and has held an ERC Consolidator Grant (2017) from the European Research Council for her work on multiphysics modeling of microcapsules. Her research focuses on numerical simulation, microfluidics, and bioartificial capsule design for biomedical applications, including hemodynamics in vascular systems and minimally invasive therapies. She has pioneered techniques for microcapsule characterization and sorting, with applications in drug delivery and tissue engineering. SALSAC has collaborated internationally with institutions like Sorbonne Université, University College London, and Queen Mary University of London. Education: Advanced training in bioengineering, with postdoctoral experience in fluid mechanics and biomedical systems. Teaching: Leads graduate courses in mechanical properties of biological materials, microfluidics, and vascular flow modeling at UTC. Previously taught at UC San Diego and University College London. Awards: ERC Consolidator Grant (2017), European scholarship for excellence (2018). Her research integrates experimental and computational methods, emphasizing real-time prediction of capsule deformation and fluid-structure interactions. Key projects include the ERC-funded MultiphysMicroCaps initiative, which explores multiscale modeling of microcapsules under physiological flows. She has developed novel microfluidic tools for capsule sorting and mechanical property analysis, published in top journals like Physical Review E and Journal of Fluids and Structures . SALSAC advocates for scientific mediation, organizing international symposia such as the DynaCaps conference, and has engaged in public outreach via television and media features. Her work bridges fundamental research and clinical applications, with patents on microcapsule fabrication and embolization techniques.