جستجوی استاد راهنمای دانشگاهی

Robert JOLIETمشاهده پروفایل

دانشیار

• Finance
• Portfolio Management
• SRI (Socially Responsible Investing)
• +۳ مورد دیگر

Robert JOLIET is an Associate Professor of Finance at IÉSEG School of Management in France. He holds a Ph.D. in Economics and Management from HEC-ULg Management School (Belgium) and has held various academic leadership roles, including Director of Academic Development and Academic Director of the PGE (MSc in Management). His research focuses on finance, portfolio management, SRI (Socially Responsible Investing), and corporate finance, with a particular emphasis on international expansion, capital structure, and sustainable investment strategies. Education: 2008: Ph.D. in Economics and Management, HEC-ULg Management School, Belgium 2004: Master of Advanced Studies (DEA), Management Sciences (Finance), University of Liège, Belgium 2002: Master of Science in Business Engineering (Finance), University of Liège, Belgium Research interests span SRI fund dynamics, corporate social responsibility valuation, international debt policies, and market liquidity. Notable contributions include analyzing the impact of SRI mutual funds on corporate governance and environmental practices, and exploring the stability of sovereign debt structures in the Eurozone. Awards include the 2005 FORTIS Award (Third Prize) and the 2003 E.G. de Barsy Doctoral Fellowship. He has published extensively in journals like Economics Letters and Journal of Banking & Finance . Academic leadership roles include directing programs and departments at IÉSEG, alongside coordinating the Finance Track and managing academic development initiatives. His teaching focuses on financial data analysis, active portfolio management, and investment strategies in capital markets. He is a member of the LEM (Laboratoire d'Économie Moderne) research group and contributes to interdisciplinary research in finance and economics.

Adriana Tapusمشاهده پروفایل

استاد

• Robotics
• Human-Robot Interaction
• Machine Learning
• +۷ مورد دیگر

Adriana Tapus is a Full Professor at ENSTA Paris, affiliated with Institut Polytechnique de Paris, leading the Autonomous Systems and Robotics Laboratory (SAR) within the Computer Science and Systems Engineering Unit (U2IS). She holds an HDR (Habilitation) and a PhD from EPFL, Switzerland, with postdoctoral experience at USC. Her research focuses on socially assistive robotics, human-robot interaction (HRI), and personalized therapy for individuals with physical/cognitive impairments. She directs the IP Paris Doctoral School and coordinates national/international projects like the EU-funded ENRICHME and SWEET. Education: PhD in Mobile Robotics, EPFL (2005) Habilitation (HDR), ENSTA Paris (2011) M.S. Computer Science, University Joseph Fourier Engineer, Politehnica University of Bucharest Research Interests: Tapus pioneers socially assistive robotics, integrating machine learning, human modeling, and multimodal communication (verbal/non-verbal/para-verbal). Her work addresses adaptive therapies for vulnerable populations using robotics, physiological data interpretation, and context-aware interaction. Key themes include: Human-robot cooperation and trust Emotion recognition and expression Personalized rehabilitation systems AI ethics and human-centered design Publications: Over 150 articles, with recent work exploring humor in HRI, teleoperation trust models, and cross-cultural intelligent vehicles. Notable 2025 contributions include studies on robot laughter efficacy and multimodal facial expression frameworks. Awards: 2025: 4 IROS papers accepted 2016: 25 Women in Robotics recognition 2010: Romanian Academy Award Multiple conference best paper awards (RO-MAN, ICRA, etc.) Advising & Grants: Supervised over 20 PhD students and led projects like EU Horizon 2020 ENRICHME. Current students focus on teleoperation dynamics, robot humor, and haptic interfaces. Active in editorial roles (IJSR, THRI) and conference organization (HRI General Chair 2019). Labs/Teams: Founder of RoboticsByDesign lab and co-initiator of the Hi! Paris interdisciplinary AI center. The SAR lab develops systems for healthcare, education, and human-robot collaboration.

Ronald McGarveyمشاهده پروفایل

استاد

• Operations Research
• Robust Optimization
• Sustainable Systems
• +۳ مورد دیگر

Ronald McGarvey is a Full Professor at IÉSEG School of Management since 2022, with prior roles including Associate Professor with Tenure at the University of Missouri (2013-2022) and Senior Operations Researcher at RAND Corporation (2002-2022). He holds a Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University and an H.D.R. in Industrial Engineering from the University of Paul Sabatier, France. Education : H.D.R. (2024), Industrial Engineering, University of Paul Sabatier Ph.D. (2002), Industrial Engineering and Operations Research, Pennsylvania State University His research focuses on Operations Research and Robust Optimization applied to diverse domains: Healthcare Logistics : Modeling access disparities in rural obstetric care for American Indian populations Environmental Sustainability : Analyzing biomass energy systems, forest carbon impacts, and waste management frameworks Network Design : Developing optimization models for supply chain resilience, military logistics, and urban transit safety Policy Analysis : Evaluating multi-state environmental collaborations and localized food systems His publications demonstrate strong interdisciplinary applications of mathematical programming and spatial optimization to real-world challenges in healthcare access, energy sustainability, and transportation systems. Key Collaborations : Working with researchers in public health (Thorsen, Noble), environmental science (Aguilar), and engineering (Mirzaee, Gutierrez-Lopez)

• Optimization
• Complex Networks
• Statistical Inference
• +۳ مورد دیگر

Stefano NASINI is an Associate Professor at the University of Lille 3, specializing in Quantitative Methods within the Economics and Mathematics Sciences. He holds a HDR (Habilitation à Diriger des Recherches) from the University of Lille 3 (2021), a Ph.D. in Statistics and Operations Research from the Polytechnic University of Catalonia (2015), and a Master in Statistics (2011). His research focuses on optimization, complex networks, statistical inference, and microeconomic applications. He has held academic positions including a post-doctoral role at IESE Business School (2014–2016) and a visiting researcher role at the University of Lisbon (2014). His work spans scheduling optimization, network analysis, financial contagion modeling, and energy system planning. Key contributions include specialized algorithms for large-scale optimization problems and frameworks for decentralized portfolio management. He is a member of the LEM research group and teaches courses in optimization, econometrics, and social network analysis at the Grande École and MSc levels. Publications highlight interdisciplinary applications, including network-based diffusion models, multi-market financial strategies, and dynamic choice analysis. His research bridges theoretical advancements in operations research with practical challenges in economics, energy, and transportation systems. No scientific awards are explicitly listed in the provided materials. His advising roles and grants are not detailed here, but his extensive publication record reflects active collaboration within academic and applied domains.

Anne JENYمشاهده پروفایل

استاد

• Accounting
• Auditing
• Financial Reporting
• +۵ مورد دیگر

Professor Anne JENY is a Full Professor at IÉSEG School of Management, France, specializing in accounting and auditing. She holds a Ph.D. in Accounting from HEC Paris Business School (2003) and Master's degrees in Audit, Finance, and Economics from the University of Paris Dauphine (1995-1996). Her academic career includes professorships at IÉSEG (2021–present) and ESSEC Business School (2002–2020). Her research focuses on intangible assets valuation , fair value measurement , IFRS adoption dynamics , and transparency in financial reporting . She has published widely on topics such as non-audit services' impact on debt costs, innovation's interplay with accounting systems, and gender disparities in accounting professions. Her work integrates empirical analysis with policy implications, particularly in digital economy contexts and public-private partnerships. A member of the LEM (Laboratory of Economy and Management), she has authored books like Les 12 travaux de l'analyste financier (2021) and contributed to international journals such as Accounting in Europe and European Accounting Review . Her research bridges theoretical frameworks with practical insights into corporate governance and regulatory challenges.

Catherine Pinelمشاهده پروفایل

استاد

• Catalysis
• Green Chemistry
• Biomass Conversion
• +۴ مورد دیگر

Catherine Pinel is a Research Director (DR2) at the Institute for Research on Catalysis and Environment of Lyon (IRCELYON, UMR 5256), a joint research unit of the French National Center for Scientific Research (CNRS) and Claude Bernard University Lyon 1. She has held this senior research position since October 2008, following progression from CR1 (1998-2008) and CR2 (1994-1998) roles at the same institution. Her academic journey includes postdoctoral research at Cambridge University (1992-1993) under Professor S.V. Ley and with Professor M. Lemaire (1993-1994). Her educational foundation includes: Diplôme Universitaire de Technologie in Chemistry from Paris XI University (1986) Engineering Degree from École Nationale Supérieure de Chimie de Paris (1989) Advanced Studies Diploma in Organic Chemistry from Paris VI University (1989) PhD in Organic Chemistry from Paris VI University (1992) on chiral ruthenium complexes and enantioselective reductions Habilitation à diriger des recherches from Lyon I University (1999) on catalysis and fine chemistry Dr. Pinel's research pioneers sustainable catalytic processes with emphasis on biomass valorization, green chemistry, and heterogeneous catalysis. Her work bridges fundamental catalyst design with industrial applications, particularly in hydrogenation, oxidation, and biorefinery processes. Current focus areas include catalytic conversion of biomass-derived platform molecules (glucose, succinic acid, polyols), development of bimetallic catalysts, and valorization of hemicellulose streams. Her approach integrates advanced catalyst characterization with reaction engineering to create environmentally benign chemical transformations. Analysis of her recent publication trajectory (2019-2025) reveals evolving expertise from fundamental organometallic chemistry toward applied sustainable catalysis. Key trends include increasing focus on biomass-derived feedstocks (glucose, succinic acid, polyols), development of metal-carbide/nitride catalysts, and optimization of aqueous-phase reactions for industrial biorefineries. Her work demonstrates strong interdisciplinary collaboration across catalysis, materials science, and green chemistry, with growing emphasis on circular economy principles and renewable chemical production. No scientific awards were explicitly mentioned in the source materials. Dr. Pinel actively contributes to academic training through graduate instruction at University of Lyon (Master 2 'Catalysis and Physical Chemistry' since 2007) and University of Savoie (M2 courses in New Catalysts in Organic Chemistry since 1999 and Coordination Chemistry since 2012). While specific grant details aren't provided, her extensive publication record across high-impact journals indicates sustained research funding. She maintains collaborative networks within IRCELYON and internationally, particularly in biomass conversion and catalyst characterization. As a core researcher at IRCELYON (celebrating 60 years of catalysis research in 2021), she operates within a world-class facility housing specialized equipment for catalyst synthesis, characterization (including in situ techniques), and testing. Her work aligns with the institute's focus on sustainable catalysis for energy transition, air/water depollution, and biomass valorization, contributing to France's strategic research priorities in green chemistry.

Deian Stefanمشاهده پروفایل

دانشیار

• security
• programming languages
• systems
• +۷ مورد دیگر

Deian Stefan is an Associate Professor at the University of California San Diego (UCSD) in the Department of Computer Science and Engineering . His research spans security , programming languages , and systems , with a focus on building principled and practical secure systems. He has served as a co-founder and Chief Scientist at Intrinsic (acquired by VMWare) and contributed to standards bodies like the W3C WebAppSec and Node.js Security Working Groups . His research interests include: Secure Systems : Web frameworks, browser designs, sandboxing, runtime systems Language-Based Security : Constant-time programming, memory safety, information flow control Verification : Security verification, static/symbolic analysis tools WebAssembly and JavaScript JITs security Deian Stefan has received multiple scientific awards , including several Distinguished Paper Awards at venues like POPL, ICFP, and USENIX Security, as well as the IEEE Cybersecurity Award for Practice (2022) and CSAW 2020 First Place for Applied Research. He has taught courses on Computer Security (CSE 127, CSE 227) and advanced topics in Building Secure Systems (CSE 291) using Rust, WebAssembly, and blockchain security. His work has been supported by collaborations with industry and academia, including projects like RLBox and COWL .

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.

Xavier Brussetمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Operations Management
• +۶ مورد دیگر

Xavier Brusset is a Professor in Supply Chain at SKEMA Business School since 2016, where he also serves as Director of the PRISM Research Center since 2017. Previously, he held professorial positions at Toulouse Business School (2015-2016) and ESSCA School of Management (2009-2015), where he was responsible for the Master 2 in Purchasing and Supply Chain Management program. His academic journey includes a PhD in Management Sciences from Université Catholique de Louvain (2010) and a Habilitation à Diriger des Recherches from Université Paris Ouest Nanterre La Défense (2016). His research spans multiple critical areas in supply chain management, with particular focus on supply chain resilience, blockchain applications, weather risk management, and pandemic impacts on supply chains. Brusset has developed innovative approaches to understanding how supply chain partners interact, how information affects their behavior, and how external disruptions like weather anomalies and pandemics impact operational efficiency. His work bridges theoretical models with practical applications, often developing decision-support tools for managers facing complex supply chain challenges. Brusset's publication record shows a clear evolution of research interests, beginning with foundational work on supply chain contracts and information sharing, then expanding to weather risk management, and most recently focusing on pandemic disruptions and blockchain applications. His 15 most recent publications (2018-2025) demonstrate increasing sophistication in modeling complex supply chain phenomena, with particular emphasis on network effects, ripple effects, and multi-echelon optimization under disruption scenarios. Editorial board member of Logistics Research Editor of International Journal of Retail and Distribution Management (2022-2023) Recognized EU expert for CINEA research projects evaluation Organizer of the Colloquium on European Research in Retailing (CERR) Reviewer for multiple top journals including International Journal of Production Economics As an advisor, Brusset has supervised doctoral students including R. Alkhudary (co-director, Université Paris 2 Panthéon-Assas) and V. Capocasale (rapporteur). His professional experience extends beyond academia to include industry roles in financial markets and logistics technology, having co-founded WebLogistix, a platform for sharing logistics information in Argentina. His research has practical applications across multiple sectors, particularly in retail, food supply chains, and manufacturing, where he develops tools to help managers mitigate risks and optimize operations under uncertainty.

Annie BLANDINمشاهده پروفایل

استاد

• Digital Law
• Data Protection
• Internet Governance
• +۴ مورد دیگر

Annie BLANDIN is an Enseignant Chercheur (Professor) at IMT Atlantique, a leading French technological university, where she is affiliated with the Department of Network Systems, Cyber Security and Digital Law at the Rennes campus. Her academic work bridges legal studies and digital technology, focusing on the evolving relationship between law, governance, and the digital world. Professor BLANDIN's research interests center on digital law and governance, with particular emphasis on European digital sovereignty, data protection frameworks, internet regulation, telecommunications law, and the intersection of market forces with digital rights. Her work critically examines how legal frameworks can address the power dynamics between large digital platforms and nation-states, exploring whether law can serve as a tool for digital sovereignty rather than merely accommodating existing technological and economic power structures. Her recent publications (2020-2024) reveal a consistent focus on European regulatory approaches to digital challenges, with particular attention to data sovereignty, digital market regulation, and the geopolitical dimensions of internet governance. Her work demonstrates a sophisticated understanding of how digital sovereignty operates both as a factual reality shaped by platform dominance and as a legal construct that can be shaped through regulation and ethical frameworks. The research shows increasing attention to practical implementation challenges of digital rights, such as data portability, and the international dimensions of digital governance, particularly regarding EU-Asia and EU-Canada relations. Professor BLANDIN has maintained a productive academic career spanning nearly three decades, with publications dating back to 1996. Her early work focused on telecommunications regulation within the European context, evolving to address broader digital governance issues as technology advanced. She has authored significant books including Droits et souveraineté numérique en Europe (2016) and L'Union européenne et internet : entre logique de marché et préoccupations citoyennes (2001), demonstrating her longstanding engagement with the legal and policy challenges posed by digital technologies. Her scholarly contributions appear across various formats including peer-reviewed journal articles, conference papers, book chapters, and research reports. She frequently collaborates with other scholars from diverse disciplines, reflecting the interdisciplinary nature of digital governance issues. Her work has been cited in academic and policy contexts, particularly regarding European approaches to digital sovereignty and data protection.

Valerie Viet Triem Tongمشاهده پروفایل

استاد پژوهش

• Information Flow Control
• Android Security
• Malware Analysis and Detection
• +۵ مورد دیگر

Valerie Viet Triem Tong is a Research Professor at the Paris Institute of Electrical and Electronic Engineering, School of Electrical and Electronic Engineering. She has established herself as a leading researcher in cybersecurity with a particular focus on information flow control systems, Android security, and malware analysis. Her work spans both theoretical foundations and practical security tools development. Her research interests center on Information Flow Control , where she has developed frameworks for monitoring and enforcing security policies at both operating system and application levels. She has made significant contributions to Android Security , creating tools for detecting malicious behavior in mobile applications and addressing privacy concerns in smartphone environments. Her work in Malware Analysis includes developing advanced techniques for tracking and visualizing malware behavior, with emphasis on evasive Windows malware and Android malware in the wild. She also investigates Peer-to-Peer Network Security , focusing on Sybil attack resistance and distributed identity management. Analysis of her publication record reveals a consistent trajectory from foundational work in information flow theory to increasingly applied security research. Her recent work shows a strong emphasis on practical security tools (DaViz, GUI-Mimic, BAGUETTE), security evaluation methodologies (Digital twin, CERBERE), and addressing contemporary challenges in malware analysis (debiasing datasets, handling obfuscated applications). A notable trend is her integration of visualization techniques with security analysis to make complex security data accessible to both experts and machine learning systems. As an advisor, she has mentored numerous researchers who have become first authors on significant publications, including Radoniaina Andriatsimandefitra, Tomás Concepcion Miranda, and Cedric Herzog. Her research has been supported by multiple grants focused on cybersecurity infrastructure, though specific grant details are not provided in the available information. Dr. Tong is actively involved with the CIDre security research group in Rennes, contributing to collaborative projects that bridge theoretical security models with practical implementation challenges. Her work on information flow monitoring has evolved from basic research to applied systems that address real-world security concerns across multiple platforms.

• statistical machine learning
• optimization
• sparse methods
• +۵ مورد دیگر

Francis Bach is a Professor and researcher at INRIA, leading the SIERRA project-team since 2011, which is part of the Computer Science Department at Ecole Normale Supérieure (ENS) within PSL Research University. His work bridges CNRS, ENS, and INRIA as a joint research effort. Elected to the French Academy of Sciences in 2020, he currently runs the ERC project SEQUOIA following his previous ERC project SIERRA (2009-2014). His research spans statistical machine learning with focus on optimization, sparse methods, kernel-based learning, neural networks, graphical models, and signal processing. Bach completed his Ph.D. in Computer Science at U.C. Berkeley under Professor Michael Jordan, followed by work at Ecole des Mines de Paris and the WILLOW project-team at INRIA/ENS/CNRS (2007-2010). His recent book "Learning Theory from First Principles" was published by MIT Press in December 2024. Bach's publication record shows consistent high-impact contributions across machine learning theory and applications, with recent work focusing on conformal prediction, diffusion models, optimization theory, and learning theory foundations. His research demonstrates strong connections between theoretical guarantees and practical algorithms, with applications spanning generative modeling, robust optimization, and statistical inference. Elected to French Academy of Sciences (2020) ERC project SIERRA (2009-2014) ERC project SEQUOIA (current) Author of "Learning Theory from First Principles" (MIT Press, 2024) Bach actively mentors numerous PhD students and postdocs, with many alumni now holding faculty positions at institutions like EPFL, Ecole Polytechnique, University of Washington, and University of Montreal. His teaching includes advanced courses on learning theory at ENS's Master's programs. He regularly presents tutorials at major conferences including COLT, NeurIPS, and ICML, demonstrating his leadership in the theoretical machine learning community.

Christophe VIGNATمشاهده پروفایل

استاد

• Mathematics
• Number Theory
• Probability Theory
• +۴ مورد دیگر

Christophe VIGNAT is a Professor at CentraleSupélec, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His research focuses on number theory, special functions, probability, and their applications in signal processing and control systems. He has held visiting professorships at École Polytechnique Fédérale de Lausanne (EPFL) and Tulane University. VIGNAT's work bridges pure mathematics and applied fields, with notable contributions to Bernoulli/Euler polynomials, multiple zeta values, and probabilistic methods in number theory. His recent publications explore topics like partition functions, theta functions, and Ramanujan-type identities. He has delivered talks at international conferences and collaborates widely with researchers in mathematics and physics. Research Interests: Number theory, special functions (Bessel, orthogonal polynomials), probability theory, signal processing, control systems, analytic combinatorics, and their interconnections. His work often employs symbolic computation and probabilistic approaches to uncover identities and structures in mathematical analysis. Publications Trends: Recent articles emphasize partition theory, zeta functions, and integrals related to classical polynomials. His collaborations highlight interdisciplinary efforts between pure mathematics and applied sciences. Over 150 refereed papers and conference contributions demonstrate his prolific output across diverse mathematical domains. Education: While specific academic history isn’t detailed, his roles and publications suggest advanced training in mathematics and engineering, typical for a full professor in systems and control.

Rajendra Kurapatiمشاهده پروفایل

استادیار

• Biodegradable Nanomaterials
• Nanomedicine
• Bioengineering
• +۵ مورد دیگر

Dr. Rajendra Kurapati is an Assistant Professor at the School of Chemistry , Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM) . His research focuses on biodegradable 2D materials for biomedical applications, addressing nanomaterial biopersistence issues through enzymatic degradation studies. He leads the Biomaterials Lab and collaborates with institutions across France, Ireland, Portugal, and the UK. Born in Andhra Pradesh, India B.Sc. & M.Sc. in Chemistry (Acharya Nagarjuna University, University of Hyderabad) Ph.D. in Materials Engineering (Indian Institute of Science, 2014) Postdoc: CNRS Strasbourg (2014-2017), CÚRAM Galway (2018-2020) His research explores 2D material-biopolymer hybrids for drug/gene delivery , nanotheranostics , and antimicrobial coatings . Key article trends include: Graphene/MoS2 biodegradation by human enzymes Antibacterial coatings for medical implants Microplastics' environmental impact Lipid nanoparticles for mRNA vaccines ZnO quantum dots for bioimaging Polymer multilayer drug delivery systems Major scientific awards : DBT Ramalingaswami Fellowship (INR 40 lakhs over 5 years) SERB Start-up Grant (32 lakhs over 2 years) SERB Special Grant (45 lakhs over 3 years) DBT Mission Innovation Grant (18 lakhs over 6 months) His academic contributions span 15+ high-impact publications in journals like Advanced Materials , Nanoscale , and Chemical Communications , covering topics from graphene biodegradation to antimicrobial coatings and bioimaging . 10+ alumni students have graduated from his lab, with placements at institutions including University of Strasbourg and Dublin City University.

• Ultrafast Phenomena
• Photoinduced Phase Transitions
• Spin-Crossover Materials
• +۷ مورد دیگر

Eric Collet is a University Professor and Head of Department at the Institute of Physics of Rennes (IPR), a joint research unit of CNRS and Université de Rennes. His work centers on ultrafast photoinduced phase transitions, spin-crossover materials, and the control of functional materials using light and THz excitation. He leads a dynamic research team and is deeply involved in international collaborations, particularly through the IM-LED International Laboratory with Japan. University: University of Rennes School: Institute of Physics of Rennes Department: Department of Materials and Light Academic Rank: Professor Email: eric.collet@univ-rennes.fr Professor Collet's research explores the ultrafast dynamics of molecular and condensed matter systems, especially those exhibiting multistability and photoresponsiveness. His work combines femtosecond optical and X-ray techniques to probe structural and electronic changes at atomic scales. Key areas include spin-crossover phenomena, photomagnetism, ferroelasticity, and nonlinear phononics. He investigates how light can trigger cooperative responses in materials, leading to persistent phase transitions with applications in photonics and memory devices. The recent publications of Eric Collet reveal a strong focus on ultrafast structural dynamics, photoinduced charge and spin transitions, and the coupling of electronic states with lattice distortions. His team frequently employs advanced X-ray methods at large-scale facilities like ESRF and LCLS. The research spans from fundamental quantum dynamics to applied materials science, with recurring themes in symmetry breaking, cooperative switching, and room-temperature photoresponse in molecular systems. Scientific awards and recognitions include: CNRS Silver Medal (2020) Louis Ancel Prize, French Physical Society Hot Paper selection in PCCP (2019) Very Important Paper recognition in Eur. J. Inorg. Chem. (2019) News & Views feature in Nature Chemistry (2020) Eric Collet actively mentors PhD students and postdoctoral researchers, and has supervised numerous publications in top journals. He has led major scientific initiatives such as the UCM2018 symposium and JMC2021 conference. His research is supported by grants from ANR, CNRS, and the Institut Universitaire de France. He collaborates extensively with institutions in France, Japan, and beyond. His research is conducted primarily within the Department of Materials and Light at the Institute of Physics of Rennes. He co-directs the IM-LED International Laboratory with Prof. Shin-ichi Ohkoshi (University of Tokyo) and collaborates with groups in Bordeaux, Lebanon, and Japan. His lab specializes in time-resolved X-ray diffraction, ultrafast spectroscopy, and nonlinear optical control of materials.