جستجوی استاد راهنمای دانشگاهی

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.

Christine Di Martinellyمشاهده پروفایل

دانشیار

• Operations Management
• Healthcare Systems
• Supply Chain Optimization
• +۱ مورد دیگر

Christine Di Martinelly is an Associate Professor in Operations Management at IÉSEG School of Management. She holds two PhDs in Economic and Management Sciences from Louvain School of Management and Applied Sciences from INSA Lyon. Her research focuses on operations management, healthcare systems, supply chain optimization, and resource allocation. Di Martinelly's extensive publication record addresses operational challenges in healthcare, including surgical scheduling, inventory management, and resource allocation. Her work employs mathematical modeling, optimization algorithms, and multicriteria decision analysis to improve efficiency in healthcare delivery systems. She has served as Academic Director at IÉSEG since 2014 and has professional experience as a consultant at Arthur Andersen earlier in her career.

Nadjib BRAHIMIمشاهده پروفایل

دانشیار

• Supply Chain Management
• Production Planning and Scheduling
• Operations Research
• +۴ مورد دیگر

Nadjib Brahimi is an Associate Professor at Rennes School of Business, specializing in Supply Chain Management and Operations Research. He holds a PhD in Production and Logistics Systems from Université de Nantes and has extensive academic experience, including roles as Academic Head of the Supply Chain Management & Information Systems department (2019–2020) and Programme Manager of the MSc in Data and Business Analytics. His expertise spans Production Planning, Supply Chain Optimization, and Reconfigurable Manufacturing Systems. Education: PhD in Production and Logistics Systems, Université de Nantes, 2004 M.Sc. in Automatic Control and Applied Computing, Ecole Centrale de Nantes, 2001 Engineering Degree in Electronics and Electrical Engineering, National Institute of Electronics and Electrical Engineering, Boumerdes, Algeria, 1999 Research Focus: His work emphasizes optimization of production systems, reconfigurable manufacturing, and sustainable supply chains. Key areas include task reassignment in assembly lines, biomass supply chain design, and disruption resilience strategies. Key Contributions: Over 40 peer-reviewed articles in journals like International Journal of Production Economics and European Journal of Operational Research . Developed robust optimization models for supplier selection and production routing. Advocated for circular economy principles in hybrid manufacturing systems. Labs/Teams: He collaborates with research groups on reconfigurable manufacturing systems and bioenergy supply chain design, contributing to projects in France, UAE, and Algeria.

Geoffroy Couteauمشاهده پروفایل

پژوهشگر

• Cryptography
• Secure Multiparty Computation
• Zero-Knowledge Proofs
• +۵ مورد دیگر

Geoffroy Couteau is a CNRS research scientist at IRIF (Institut de Recherche en Informatique Fondamentale), Université Paris Cité, where he conducts research in theoretical and applied cryptography. He obtained his PhD from École Normale Supérieure de Paris in 2017 under the supervision of David Pointcheval and Hoeteck Wee, followed by a postdoctoral position at Karlsruhe Institute of Technology (KIT) from 2017 to 2019. His primary research interests include secure multiparty computation, zero-knowledge proofs, and the theoretical foundations of cryptography, with a particular emphasis on pseudorandom correlation generators and efficiency improvements in cryptographic protocols. He has made significant contributions to fine-grained cryptography, non-interactive zero-knowledge proofs, and post-quantum secure computation. The recent publications reflect a strong trend toward foundational advances in secure computation, with increasing focus on efficiency, practicality, and connections to complexity theory and learning theory. His work often bridges theoretical hardness assumptions with practical protocol design. ERC Starting Grant (2023) for project OBELiSC (Overcoming Barriers and Efficiency Limitations in Secure Computation) Geoffroy Couteau has advised numerous PhD and master’s students, including Dung Bui, Clément Ducros, Eliana Carozza, and Ulysse Léchine. He has also hosted many visiting students and postdocs, fostering a vibrant research group. He has served on the program committees of major conferences such as EUROCRYPT, CRYPTO, TCC, and PKC. He is currently leading research in cryptography at IRIF and is involved in postdoctoral hiring for projects in advanced cryptographic primitives. He maintains a research blog and resource collection for students, including LaTeX templates, a probability cheat sheet, and curated answers to common cryptography questions.

Samuel Herrmannمشاهده پروفایل

استاد

• Stochastic Processes
• Probability Theory
• Applied Mathematics
• +۴ مورد دیگر

Samuel Herrmann is a Professor of Applied Mathematics at the University of Burgundy, France. He is a member of the Statistics, Probability, Optimization and Control team and an external member of the TOSCA project team at INRIA. His research focuses on stochastic processes, particularly asymptotic analysis of non-linear stochastic processes, large deviations, and stochastic resonance phenomena, with applications in climatology, biology, and financial modeling. Education: PhD in Mathematics (2001) - University of Burgundy Habilitation (2009) - Asymptotic analysis related to stochastic processes Research Interests: Stochastic differential equations and their numerical simulation Large deviation phenomena in stochastic processes Self-stabilizing diffusions and stochastic resonance First-passage and exit time problems for diffusions Applications in climatology, biology, and finance Scientific Contributions: Professor Herrmann has published extensively on stochastic processes, with over 50 peer-reviewed articles and a monograph on stochastic resonance. His work includes exact simulation methods for diffusion processes, studies on self-stabilizing systems, and theoretical contributions to large deviations theory. He has collaborated with leading researchers such as Peter Imkeller and David Peithmann. Awards and Recognition: Contributed to the encyclopedia of mathematical physics Co-authored the book "Stochastic Resonance: A Mathematical Approach in the Small Noise Limit" (2014) Teaching and Supervision: He teaches courses on stochastic processes and their simulation at both undergraduate and master's levels, including the Master in Turin program. He has supervised numerous PhD and master's students in stochastic processes and related fields.

• AI-enabled communications
• Green and energy-efficient communications
• Online optimization and machine learning
• +۶ مورد دیگر

E. Veronica Belmega is a Full Professor at ESIEE Paris (Université Gustave Eiffel) and a researcher at the LIGM laboratory in Marne-la-Vallée, France. Previously, she served as an Associate Professor at ENSEA graduate school and Deputy Director of the ETIS laboratory in Cergy. She holds an Engineer Degree from the University Politehnica of Bucharest, M.Sc. and Ph.D. from Université Paris-Sud 11, and an HDR habilitation from Université de Cergy-Pontoise. Her research focuses on AI-driven communication systems, energy efficiency, online optimization, and cyber-physical security, with a strong emphasis on applications in smart grids and IoT. Her work spans securing wireless communications against adversarial attacks, optimizing resource allocation in cognitive radio networks, and leveraging machine learning for GNSS localization and MIMO systems. Notable contributions include game-theoretic frameworks for PMU deployment and energy-efficient NOMA systems. Belmega has received prestigious awards such as the 2021 CY Alliance Award and the L’Oréal-UNESCO fellowship, and serves as an Area Editor for IEEE Trans. on Machine Learning in Communications and Networking. Current projects include a CEA LETI postdoc position on AI localization and a PEPR 5G project. She actively contributes to special issues like the EURASIP JASP on sustainable wireless communications. Belmega’s advising includes PhD student S. Maleki, co-author of her 2024 IEEE SmartGridComm Best Paper Award-winning work.

• Supply Chain Management
• Operations Research
• Sustainable Operations
• +۴ مورد دیگر

Dr. Reza Alikhani is an Assistant Professor of Operations and Supply Chain Management at the MBS School of Business in France. He holds a PhD in Production and Operations Management from the University of Tehran and has held postdoctoral and visiting research positions at EM Normandie Business School and DePaul University. His primary research focuses on applying operations research methodologies to optimize supply chain and logistics systems, with expertise in supply chain resilience, sustainable operations, and collaborative logistics. Education and Positions: PhD in Production and Operations Management, University of Tehran, Iran (2018) Postdoctoral Researcher at EM Normandie Business School Visiting Research Fellow at DePaul University, Chicago Research Interests: Dr. Alikhani’s work emphasizes supply chain resilience , sustainable operations , and collaborative logistics optimization . His studies often integrate fuzzy logic, stochastic programming, and multi-objective models to address uncertainties and strategic decision-making in supply chains. Recent trends in his publications highlight advancements in concurrent resilience strategies and cross-industry collaboration for logistics efficiency. Collaborations and Industry Links: He actively collaborates with international companies to enhance operational efficiency through innovative supply chain solutions. This bridges academic research with real-world applications, particularly in retail logistics and humanitarian relief considerations. Professional Contributions: Dr. Alikhani serves as an ad hoc reviewer for top-tier journals such as Production and Operations Management and European Journal of Operational Research , contributing to the rigor of supply chain literature.

Jakob PUCHINGERمشاهده پروفایل

استاد

• Logistics
• Urban Mobility
• Disruptive Technologies
• +۳ مورد دیگر

Jakob Puchinger is a Professor in Supply Chain Management and Logistics at EM Normandie since 2022. He also serves as an affiliate professor at the Laboratoire Génie Industriel at CentraleSupélec, Université Paris-Saclay, and co-director of the Future Cities Lab with Centrale Pékin. He holds a PhD in Computer Science from TU Wien (2006), focusing on metaheuristics and integer programming for cutting and packing problems. His research spans logistics, urban mobility, disruptive technologies, and transport system optimization. Professional roles include Head of the Operations Management team at CentraleSupélec (2019–present), holder of the Anthropolis Chair at IRT SystemX (2015–2022), and scientist at the Austrian Institute of Technology (2008–2014). He has authored over 80 publications and supervised six theses, with five ongoing. Research interests emphasize sustainable urban logistics, last-mile delivery optimization, and shared mobility systems. Key contributions include studies on electric vehicles, autonomous systems, and policy frameworks for decarbonization. His work integrates optimization algorithms, agent-based modeling, and real-world case studies to address complex mobility challenges. Recent publications focus on route optimization for cold chain logistics, decarbonization policies, and collaborative truck-robot delivery systems. He actively contributes to conferences like Transportation Research Board and ROADEF, and co-authored books on urban mobility futures and robomobility revolution.

• Cryptography
• Lattice-based cryptography
• Post-quantum cryptography
• +۳ مورد دیگر

Professor Damien Stehlé is a faculty member at École Normale Supérieure de Lyon (ENS Lyon), where he is part of the AriC team within the Laboratoire de l'Informatique du Parallélisme (LIP). He is also a distinguished member of the Institut Universitaire de France. His research and teaching activities focus on cryptography, computational number theory, and computer algebra, with particular emphasis on lattice-based cryptographic systems. Stehlé's research primarily centers on the computational aspects of Euclidean lattices and their applications in cryptography. He has made significant contributions to lattice-based cryptography, particularly in the context of post-quantum cryptography. His work addresses fundamental questions about the hardness of lattice problems, algorithmic improvements for lattice reduction, and the development of practical cryptographic schemes based on lattice assumptions. He has been actively involved in the NIST post-quantum cryptography standardization process, contributing to the analysis of lattice-based candidates like Kyber and Saber. His publications span theoretical foundations to practical implementations, demonstrating a rare ability to bridge abstract mathematics with real-world cryptographic applications. Throughout his career, Stehlé has published extensively in top-tier cryptography and theoretical computer science venues. His research has been recognized with multiple best paper awards for groundbreaking contributions to the field. Best paper award at ASIACRYPT 2021 for 'On the hardness of the NTRU problem' Best paper award at ASIACRYPT 2015 for 'Improved security proofs in lattice-based cryptography' Best paper award at EUROCRYPT 2015 for 'Cryptanalysis of the Multilinear Map over the Integers' Professor Stehlé has supervised numerous PhD students over the years, often collaborating with other leading researchers in the field. He serves on program committees of major cryptography conferences and is a member of editorial boards for prestigious journals including the Journal of Cryptology and Designs, Codes and Cryptography. His research group at LIP's AriC team is recognized as a leading center for lattice-based cryptography research in Europe.

• Electrical Engineering
• Energy Systems
• Control Systems
• +۵ مورد دیگر

Delphine RIU serves as University Professor and Director of Grenoble INP - Ense3 (National School of Energy, Water and Environment Engineering) at Grenoble Alpes University, leading the Electrical Systems and Networks team (SYREL) within G2Elab. Her strategic oversight encompasses 1,300 students (25% international), 9 diploma programs, 80 faculty members, and 50 administrative/technical staff. Her academic credentials include: HDR (2010) - Grenoble INP, UGA: 'Modeling and control of electrical systems: from their optimal structure to their dynamic performance' Doctorate (2002) - Grenoble INP, UGA: 'Modeling of electrical machines using non-integer order systems' Engineer & DEA - Grenoble INP, UGA (ex ENSIEG) Her research integrates electrical engineering with energy systems innovation , specializing in sizing/control of electromechanical systems, modeling of unconventional energy production/storage, multi-criteria (technical/economic/environmental) optimization of multi-fluid systems, and uncertainty-aware control laws for on-board energy systems and microgrids. Applications target sustainable energy solutions through robust system design. Recent publications (2020-2021) demonstrate expertise in microgrid control under uncertainty, second-life battery applications, and techno-economic optimization. Her work bridges theoretical control systems with real-world validation in renewable integration and energy efficiency, emphasizing robustness analysis and multi-objective decision frameworks. She has co-supervised 16 theses (1 ongoing) and contributed to academic governance through 33 selection committees (30 external) and 54 thesis juries (32 as rapporteur). Key partnerships include GIPSA-lab, LEPMI, University of Gdansk, CEA LITEN/LIST, ALSTOM, Schneider Electric, ENEDIS, RTE, and SAFT. Her laboratory affiliation centers on the SYREL team at G2Elab (Grenoble Electrical Engineering Laboratory), a joint research unit of Grenoble INP, CNRS, and UGA driving innovation in electrical system modeling and control.

Romain Raveauxمشاهده پروفایل

دانشیار

• Image Analysis
• Machine Learning
• Structural Pattern Recognition
• +۵ مورد دیگر

Romain Raveaux is an Associate Professor at the LIFAT Computer Science Laboratory, University of Tours, affiliated with Polytech Tours. His research focuses on Image Analysis, Machine Learning, Structural Pattern Recognition, Graph Matching, Graph Neural Networks, Discrete Optimization, Reinforcement Learning, and Transfer Learning . Email: romain.raveaux@gmail.com , romain.raveaux@laposte.net Address: 64 av. Jean Portalis, Tours, France, 37200 Phone: +33 (0)2 47 36 14 27 Research Interests Graph Matching and Neural Networks Discrete Optimization for Pattern Recognition Transfer Learning in Graph-Based Models Historical Document Analysis Scientific Trends His recent work bridges Graph Neural Networks with Mixed-Integer Programming , focusing on Image Semantic Segmentation and Graph Cycle Detection . Earlier studies emphasize Genetic Algorithms for graph classification and Graph Edit Distance optimization in pattern recognition.

Magnus Madsenمشاهده پروفایل

دانشیار

• Programming Languages
• Compilers
• Type and Effect Systems
• +۷ مورد دیگر

Magnus Madsen is an Associate Professor at Aarhus University, Department of Computer Science. He leads the development of the Flix programming language, a declarative tool integrating logic, functional, and imperative features with Java interoperability. His work spans type and effect systems, program analysis, and JavaScript bug-finding tools, particularly for asynchronous applications. Academic Affiliation: Aarhus University (Denmark) Leadership: Flix Programming Language Magnus's research focuses on programming language design, type systems, and static/dynamic analysis. This includes Datalog constraints, polymorphic effects, and nullability frameworks. His contributions to JavaScript analysis address asynchrony and concurrency challenges. Key trends in his work include declarative program analysis, effect system design, and Datalog-based frameworks like IFDS/IDE. Recent papers explore rank-polymorphic function inference, purity reflection, and stratification in logic programming. Scientific awards include: Sapere Aude grant (2023) Dahl-Nygaard Junior Prize (2022) STEM Grant (2022) Amazon Research Award (2021) DFF Project One (2020) ECOOP 2023 Distinguished Paper ICSE 2016 Distinguished Paper Current PhD students advised: Jonathan Lindegaard Starup, Matthew Lutze, Andreas Stenbæk Larsen (co-advised with Aslan Askarov), Caroline Palma Berger (co-advised with Clemens Nylandsted Klokmose).

Morteza Davariمشاهده پروفایل

دانشیار

• Operations Research
• Combinatorial Optimization
• Stochastic Optimization
• +۷ مورد دیگر

Morteza Davari is an Associate Professor at SKEMA Business School (France) and Visiting Professor at KU Leuven (Belgium). He holds a Ph.D. in Operations Research from KU Leuven (2016), an M.Sc. in Advanced Business Studies (2012), and a B.Sc. in Industrial Engineering (2011). His research focuses on Combinatorial Optimization, Stochastic Optimization, and their applications in Sports Planning, Project Scheduling, and Supply Chain Management. Professional affiliations include: SKEMA Business School: Full-time faculty since 2020 (Assistant Professor until 2024) KU Leuven: Visiting faculty since 2020, Postdoctoral Researcher (2017–2020) Research interests span: Exact algorithms for scheduling problems Resource-constrained project scheduling Sports timetabling Data-driven optimization Uncertainty management in operations Notable contributions include: Developed hybrid scheduling models integrating inventory constraints Pioneered proactive/reactive scheduling frameworks Designed multi-league sports scheduling algorithms Modeling pandemic ripple effects on supply chains Academic leadership roles include: PhD co-supervisor for 5 ongoing/done theses Jury member for multiple international PhD defenses Reviewer for top journals like European Journal of Operational Research and Annals of Operations Research Labs/Teams: Active contributor to SKEMA's Centre for Analytics and Management Science.

• Natural Language Processing
• Automatic Text Summarization
• Sentence Generation
• +۵ مورد دیگر

Juan-Manuel Torres Moreno is an Associate Professor (Maître de Conférences HDR HC) at the University of Avignon (UAPV), where he conducts research in Natural Language Processing at the Laboratoire Informatique d'Avignon (LIA). His academic position includes the HDR (Habilitation à Diriger des Recherches), a post-doctoral qualification in France that enables supervision of PhD students. His primary research interests focus on Natural Language Processing, with particular emphasis on automatic text summarization, sentence generation, and phrase compression algorithms. His work spans both theoretical and applied aspects of NLP, incorporating machine learning techniques and artificial intelligence approaches. His research has significant applications in multilingual processing, text mining, and information extraction systems. Torres Moreno's publication record demonstrates a consistent trajectory in advancing text summarization techniques, with recent work exploring cross-lingual approaches, multimedia content processing, and deep learning applications. His research often bridges the gap between theoretical linguistic concepts and practical implementation, with publications spanning from fundamental NLP algorithms to applied systems for video summarization, speech processing, and multilingual document analysis. He actively collaborates with researchers across multiple institutions including École Polytechnique de Montréal (with 50 joint publications), Laboratoire Informatique d'Avignon (83 publications), and Universidad Nacional Autónoma de México. His work appears in reputable journals such as Computer Speech and Language, Data and Knowledge Engineering, and Pattern Recognition Letters. Within the Laboratoire Informatique d'Avignon, Torres Moreno contributes to the Language Processing research theme, working with colleagues on projects related to multilingual information access, opinion mining, and text analysis. His research group has participated in several evaluation campaigns including DEFT (Défi Fouille de Textes) challenges, focusing on information retrieval and sentiment analysis tasks.

Sophie Huibertsمشاهده پروفایل

پژوهشگر

• Linear Programming
• Mixed Integer Programming
• Algorithm Analysis
• +۴ مورد دیگر

Sophie Huiberts is a CNRS researcher at LIMOS, Clermont Auvergne University in Clermont-Ferrand since fall 2023. Previously, she was a Simons Junior Fellow at Columbia University in New York City, hosted by Tim Roughgarden. She completed her PhD research at Centrum Wiskunde & Informatica in Amsterdam under Daniel Dadush and received her doctorate in 2022 from Utrecht University. Dr. Huiberts specializes in theoretical aspects of mathematical optimization, particularly focusing on the gap between practical performance and theoretical predictions of linear programming algorithms. Her research examines software implementations like Gurobi, CPLEX, SCIP, and HiGHS to understand why these algorithms perform better in practice than worst-case analysis would suggest. She has made significant contributions to smoothed analysis of the simplex method, establishing both upper and lower bounds on its complexity under perturbations of worst-case inputs. Analysis of her publication record shows consistent focus on bridging theoretical computer science with practical optimization methods. Her work spans linear programming theory, integer programming, combinatorial optimization, and computational geometry, with particular emphasis on understanding the geometric properties of optimization problems and the behavior of algorithms on real-world instances. Simons Junior Fellowship Dr. Huiberts maintains active engagement with the research community through social media platforms including Mastodon and Bluesky, and produces high-quality recordings of her research talks available on YouTube. She has made a conscious decision to stop air travel since 2023 due to climate concerns, demonstrating commitment to sustainable research practices while maintaining scientific connections through digital means. She is affiliated with LIMOS (Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes), a research laboratory at Clermont Auvergne University focused on computer science, modeling, and optimization systems, where she continues her investigations into the theoretical foundations of practical optimization algorithms.