جست‌وجوی استاد و پژوهشگر

BOURJADE Sylvainمشاهده پروفایل

استاد

• Economics
• Finance
• Hydrogen Supply Chains
• +۵ مورد دیگر

Sylvain BOURJADE is a Professor in the Department of Economics and Finance at Toulouse Business School (TBS Education) . His research focuses on economics and finance with particular emphasis on hydrogen supply chains, auction mechanisms, corporate governance, and IPO market dynamics. Research Themes: Hydrogen supply chain optimization, auction theory, corporate governance, IPOs, and collusion mechanisms Methodologies: Bilevel programming, stochastic frontier analysis, game theory Industries: Airline sector, energy markets, financial conglomeration His recent work on hydrogen supply chains combines energy economics with computational optimization , while earlier publications explored strategic behaviors in uniform price auctions and boardroom collusion . Publications span topics including aircraft leasing efficiency, IPO pricing anomalies, and microfinance group lending structures. Scientific contributions include methodological advancements in Bilevel programming for supply chain optimization Dynamic modeling of auction mechanisms Behavioral analysis of corporate governance failures Contact: s.bourjade@tbs-education.fr

Zacharie ALESمشاهده پروفایل

دانشیار

• Combinatorial Optimization
• Mathematical Programming
• Data Science
• +۴ مورد دیگر

Zacharie ALES is an Associate Professor at ENSTA ParisTech, affiliated with the UMA laboratory and the OC team of the CEDRIC laboratory. Previously, he served as an Associate Professor at the University of Avignon (2015–2017). He earned his PhD in 2014 from INSA de Rouen under the supervision of Christian Gout, Laurent Vercouter, Arnaud Knippel, and Alexandre Pauchet. His research focuses on combinatorial optimization, mathematical programming, data science, and robust optimization. Key achievements include winning the 2014 Young Researcher Prize from ROADEF. His doctoral work developed a methodology for extracting regularities in two-dimensional annotated arrays, implemented in the VIESA software. This work combined bioinformatics-based pattern extraction with clustering and mixed-integer programming. He has held grants from the PRIMO project and contributed to interdisciplinary applications, such as analyzing sensor data through annotated arrays. His teaching activities include monitoring and curriculum development. Research collaborations span institutions like LMI and LITIS laboratories, and his current affiliations emphasize applied mathematics and operational research.

Arnaud Knippelمشاهده پروفایل

مدرس

• Network Design and Optimization
• Mathematical Programming
• Graph Theory
• +۸ مورد دیگر

Arnaud Knippel is a Lecturer in the Department of Mathematical Engineering at INSA. He has been responsible for internships in the GM department since 2015 and is a member of the GM Department Council. His research focuses on network design and dimensioning using mathematical programming and graph theory, with applications in telecommunications, transport, logistics, electricity, physics, and chemistry. He also explores the intersection of Operations Research (RO), Artificial Intelligence (AI), and Data Science, particularly in partitioning/classification problems and subgraph isomorphism for pattern recognition. Knippel has coordinated major research projects such as XTerM (2016-2019, as INSA’s scientific coordinator) and Fractal Grid (2016-2019), both funded by ANR and FEDER. He contributed to CLASSE2 (2016-2018) and PLURADYS (2015), a health-focused classification project. His doctoral supervision includes Zacharie Ales (co-advised with LITIS & C. Gout), S. Benhida (co-supervised with ENSA Agadir), and I. Khames (with JG Caputo). His research interests emphasize theoretical and applied aspects of graph theory, optimization, and AI. Projects like XTerM and Fractal Grid highlight his work on network oscillations and electrical grid design, respectively. Despite no explicit mention of scientific awards, his extensive publication record and project involvement underscore his academic contributions.

David REYمشاهده پروفایل

استاد

• Optimization
• Integer Programming
• Bilevel Optimization
• +۷ مورد دیگر

David Rey is a Professor at SKEMA Business School in Sophia Antipolis, France. His research focuses on optimization, game theory, and artificial intelligence applied to transportation and logistics. He holds a PhD in Operations Research from Université Grenoble Alpes (2012) and a Habilitation à Diriger des Recherches (2023) from Université de Toulouse. Previously, he was a Senior Lecturer at UNSW Sydney (2016–2021) and has held postdoctoral positions at rCITI UNSW. He leads the URBANE project, exploring green last-mile delivery solutions, and serves on editorial boards like Transportation Letters . Awards include multiple ARC grants and the INFORMS TSL Best Paper Award Committee role (2025). Education: Habilitation à Diriger des Recherches (2023), Operations Research, Université de Toulouse PhD (2012), Operations Research, Université Grenoble Alpes Master (2008), Sciences/Mathematics, Pontifical Catholic University of Rio de Janeiro Engineering Degrees (2004–2005), Electrical Engineering, University of Montpellier Research Interests: David’s work emphasizes optimization techniques (bilevel, stochastic, mixed-integer programming), game theory, and AI applications in transport systems. Key areas include drone delivery, autonomous vehicle integration, congestion pricing, and resilient logistics networks. His methods address real-world challenges like pandemic response, electric vehicle charging infrastructure, and fair resource allocation. Grant Highlights: URBANE (EU Horizon-funded), 2022–present 4 ARC grants as Lead Chief Investigator, including projects on concrete mixes, ethics in transport systems, and workforce logistics optimization Advising & Grants: Directed/co-directed 15+ PhD theses across SKEMA and UNSW Sydney Active in grant writing and editorial roles, including Transportation Science and Logistics Society Workshop (2024–2025) Labs/Teams: Leads the SKEMA Centre for Analytics and Management Science, focusing on analytics-driven solutions for business and urban systems.

Frédéric Meunierمشاهده پروفایل

استاد

• Combinatorics
• Operations Research
• Optimization
• +۳ مورد دیگر

Frédéric Meunier is a Professor at École Nationale des Ponts et Chaussées and a researcher at CERMICS (Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique). He holds an associate professorship at École Polytechnique. His research focuses on combinatorics, operations research, and topological combinatorics. He has contributed extensively to areas such as graph coloring, fair division, and optimization problems in logistics and transportation. Education: PhD in Applied Mathematics (2006), École Nationale des Ponts et Chaussées, advised by András Sebő Habilitation in Applied Mathematics (2012) Engineer degree from École Polytechnique (2001), specializing in Theoretical Physics Master in Optimization, Games, and Modelling in Economics (2002) Research Interests: Combinatorial optimization, topological methods in graph theory, fair division problems, scheduling algorithms, and applications to transportation systems. His work bridges discrete mathematics and real-world optimization challenges. Teaching: Offers courses in optimization, discrete mathematics, and topological combinatorics at École Nationale des Ponts et Chaussées, École Polytechnique, and other institutions. Recent courses include 'Discrete Optimization' and 'Topological Combinatorics.' Labs/Teams: Member of the Optimization team at CERMICS and collaborates with the Combinatorics and Optimization group at Institut de Mathématiques de Jussieu-Paris Rive Gauche. He organizes conferences like the 'SPO Séminaire Parisien d'Optimisation' and workshops on topological combinatorics.

• Operations Research
• Combinatorial Optimization
• Bilevel Optimization
• +۶ مورد دیگر

Ivana Ljubic is a Full Professor in Operations Research at ESSEC Business School, specializing in combinatorial optimization, bilevel optimization, and network design with applications in telecommunications, logistics, and bioinformatics. She holds a PhD in Computer Science from TU Wien (2004) and a Habilitation from the University of Vienna (2013). Editorial roles: Associate Editor for Operations Research , Transportation Science , and Networks Professional leadership: Chair of INFORMS Telecommunication & Network Analytics Section Her research focuses on mixed-integer programming, metaheuristics, and exact algorithms for problems like Steiner trees, regenerator location, and capacitated vertex separators. Recent work includes applications in community energy storage, social media influence maximization, and sustainable last-mile delivery. She has received multiple awards, including the Glover-Klingman Prize (2021) and Marguerite Frank Award (2022). Her publications span leading journals like Management Science , Operations Research , and Mathematical Programming , with over 70 articles to date.

Nikolaj Bjørnerمشاهده پروفایل

پژوهشگر

• Symbolic Solving Techniques
• SMT Solvers
• Program Verification
• +۱۰ مورد دیگر

Nikolaj Bjørner is a Partner Researcher at Microsoft Research , affiliated with the Research in Software Engineering (RiSE) group. His work centers on symbolic solving techniques, particularly through the development of the Z3 SMT solver , which underpins program verification, test case generation, and cloud network management. He has also contributed to distributed file systems and network verification . Academic Rank : Researcher Key Collaborations : Leonardo de Moura (Z3), George Varghese (network verification), Mooly Sagiv (controller verification) Research Interests : Bjørner’s work spans SMT solvers (Z3, muZ, SPACER), network verification (SecGuru, NoD, ddNF), and distributed systems (DFSR, RDC). His methods bridge logical reasoning, optimization, and network reliability. Article Trends : His publications focus on SMT solving (e.g., Z3, muZ, SPACER), network verification (ddNF, TeaVar), and quantifier instantiation (MBQI). These works integrate model-based reasoning and theory combination to address scalability in software and networking. Awards : 2021 ACM Fellow 2021 CAV Award (pioneering SMT contributions) 2019 Herbrand Award (Z3) 2017 Skolem Award (E-matching) 2016 Best Paper (HVC, ddNF) 2015 ACM SIGPLAN Software System Award (Z3) Collaborations & Students : Bjørner has mentored interns and collaborators like Daniel Selsam (neural networks for SAT), Nuno P. Lopes (Alive, NoD), and Rachee Singh (Shoofly, traffic engineering). He co-organized the 2022 Shonan workshop on SAT and served as program chair for conferences like PSI and FMCAD.

Patrick Simonمشاهده پروفایل

استاد

• Immigration
• Discrimination
• Socio-demography of Minorities
• +۷ مورد دیگر

Patrick Simon is a Research Director at the Institut National d'Études Démographiques (INED) , where he leads the INTEGER department on integration and discrimination within the Institute of Migrations. He is also an Associate Researcher at the Center for European Studies, Sciences Po , and a Lecturer in Political Sociology at IEP Paris . His work is central to the fields of migration, socio-demography, and ethno-racial classification in France and Europe. His research focuses on: Immigration and integration in Europe Discrimination and anti-racist policies Ethno-racial statistical classification Social and spatial segregation of minorities Political sociology of diversity Simon has led major research initiatives such as the Trajectories and Origins (TeO2) Survey , PolMig , and DIVETHNO , contributing significantly to empirical and theoretical understandings of integration and inequality. His publications span top journals in sociology, demography, and migration studies, with a strong emphasis on policy relevance and methodological innovation in measuring discrimination and diversity. Key themes across his recent publications include: Comparative analysis of Muslim integration in France and Canada Critical examination of the absence of ethnic statistics in France The role of public statistics in anti-discrimination policy The socio-political construction of minority identities Integration challenges faced by the second generation European approaches to multicultural citizenship He serves on the editorial boards of Sociétés Contemporaines and Ethnic and Racial Studies , and advises the WZB Berlin and the NCCR "On the move" program. His work bridges academic research and public policy, advocating for evidence-based approaches to equality and inclusion. Simon has supervised numerous research projects and publications, including co-editing the Dictionnaire des inégalités and authoring influential reports on housing, labor market discrimination, and national identity. He is a leading figure in the French and international scholarly community on migration and social stratification. He is affiliated with the International Migration and Minorities research team at INED, contributing to collaborative, interdisciplinary research on migration-related diversity and its societal impacts.

• Fractional Calculus
• System Identification
• Robust Control
• +۵ مورد دیگر

VICTOR Stéphane is an Associate Professor at the University of Bordeaux , affiliated with the IMS Bordeaux research group and the CRONE team. His work focuses on fractional calculus as a tool for system modeling and optimal control . Key applications include autonomous vehicles , medical heat transfer analysis , climate modeling , and aeronautics . He leads the Master 2 AM2AS program and serves as co-head for the CRONE software and Factory of the Future initiatives. His research emphasizes real-time system identification , multi-criteria optimization , and dynamical system modeling for complex nonlinearities. Recent publications highlight advancements in bio-heat transfer modeling , wind turbulence simulation , and fractional-order control for antennas and autonomous systems. Collaborations span institutions like CEA Leti , Thales Avionics , and ONERA , with industry ties to Safran and Stellantis .

• Franchise networks
• Supply-chain management
• New Public Management
• +۳ مورد دیگر

Samuel LAGRANGE is Lecturer at IAE Clermont Auvergne – School of Management, Université Clermont Auvergne, where he conducts research within the Strategy, Territory and Actor Networks (STeRA) axis of the CRCGM laboratory (Centre de Recherche Clermontois en Gestion et Management). Education : No explicit educational background is provided in the supplied text. Research interests revolve around the governance and optimization of franchise networks, supply-chain modelling, New Public Management, and the management of commercial relationships in banking networks. He employs decision-modelling techniques, simulation, and mixed-integer linear programming to assess and enhance logistic and financial flows across diverse franchise systems, including bakery, restaurant, and fast-food networks. His work also explores how statutory diversity and proximity theory can illuminate managerial challenges within these networks. Publications (2010–2018) demonstrate a consistent focus on developing quantitative and conceptual frameworks for franchise and supply-chain management, with empirical applications to prominent French networks such as Paul, La Mie Caline, Flunch, Buffalo Grill, McDonald’s, and KFC. The studies collectively advance methodologies for optimizing mix rates, evaluating financial flows, and reinventing retail formats, particularly bank branches. Scientific awards : None are mentioned in the provided materials. Advising & grants : No specific doctoral or master’s students, research grants, or funded projects are listed. Laboratory & teams : He is an active member of the CRCGM – Centre de Recherche Clermontois en Gestion et Management (EA 3849), located at 28 Place Henri Dunant, 63000 Clermont-Ferrand, France.

Marie-Andrée Jacob-Da Colمشاهده پروفایل

مدرس

• Discrete Geometry
• Discrete Planes
• Discrete Affine Applications
• +۱ مورد دیگر

Marie-Andrée Jacob-Da Col is a Lecturer at the ICube Laboratory , affiliated with the MIV (Modélisation, Imagerie et Visuel) department at the University of Strasbourg. Her research focuses on discrete geometry and mathematical modeling, with a specialization in quasi-affine applications derived from affine transformations combined with integer-part functions. Research areas: discrete geometry, discrete planes, tilings, and discrete affine applications Teaching: Mathematics, Introduction to Programming, and Office Automation for DUT Industrial Engineering and Maintenance students

David Coeurjollyمشاهده پروفایل

استاد پژوهشی

• Digital Geometry
• Geometry Processing
• Point Sampling
• +۴ مورد دیگر

David Coeurjolly is a Research Director at the French National Center for Scientific Research (CNRS) affiliated with LIRIS laboratory at Claude Bernard University Lyon 1. He leads the Origami research team and holds several leadership positions including Director of GdR Informatique Géométrique et Graphique and Co-lead of PEPR ICCARE. As co-founder of the DGtal library and General Chair of the Graphics Replicability Stamp Initiative, he significantly influences computational geometry research. His research spans digital geometry, discrete algorithms, Monte Carlo rendering, and geometry processing. Core innovations include work on optimal transport, low-discrepancy sampling, digital surface regularization, and curvature estimation methods. His approaches combine theoretical mathematics with practical implementations for computer graphics and scientific computing applications. Recent publications demonstrate strong focus on: Efficient transport algorithms (BSP-OT, Rectified Flows) Sampling theory innovations (Sobol' sequences, Owen scrambling) Digital geometry foundations (Gauss digitization, Laplace-Beltrami operators) Geometric transformations (bijective rotations, plane probing) Awards include: 🎫 Best Paper Award, SIGGRAPH Asia 2024 🎫 SGP Software Award 2016 He leads multiple ANR grants including SSLAM (point cloud ML), StableProxies (geometry processing), and MoCaMed (medical physics). His lab develops open-source tools like DGtal and maintains active collaborations through international initiatives like the Graphics Replicability Stamp.

• Combinatorial Optimization
• Operations Research
• Artificial Intelligence
• +۳ مورد دیگر

Corinne LUCET-VASSEUR is a University Professor at Université de Picardie Jules Verne (UPJV), leading Research Unit UR 4290 (OCIA - Optimisation Combinatoire, Images et Applications). Her office (Room 302, Tel: 5900) serves as the hub for her research group focused on combinatorial optimization and artificial intelligence applications. Her research spans: Combinatorial Optimization : Developing metaheuristics for NP-hard problems Healthcare Logistics : Patient flow optimization, facility location, simulation training Logistics Engineering : Parcel distribution, vehicle routing with time windows Algorithm Design : Ant Colony Optimization, Adaptive Large Neighborhood Search, portfolio methods She applies these methodologies to solve complex real-world problems, particularly in healthcare systems where resource constraints and scheduling complexity demand innovative optimization approaches. Her work bridges theoretical advances with practical implementation through industrial partnerships. Current research projects include: SMILE PICK UP (CIFRE industrial partnership) Simusanté (healthcare simulation) LORH (logistics optimization) These projects secure ongoing funding and provide doctoral training opportunities through industry collaboration. Her publication record demonstrates consistent methodological innovation applied to healthcare and logistics challenges across multiple European conferences and journals. Professor Lucet-Vasseur actively mentors junior researchers through co-authorship on conference papers and journal articles. Her supervision style emphasizes practical problem-solving with industry relevance, preparing students for both academic and industrial careers in optimization. The OCIA research unit provides a collaborative environment for tackling complex combinatorial problems with real-world impact. The OCIA laboratory serves as UPJV's center for combinatorial optimization research, specializing in metaheuristic development for healthcare and logistics applications. The lab maintains strong industry connections through CIFRE contracts and applied projects, ensuring research relevance while providing students with exposure to real business challenges. Current focus areas include adaptive algorithm selection using reinforcement learning and fitness landscape analysis for optimization problems.

• Optimization
• Artificial Intelligence
• Constraint Programming
• +۴ مورد دیگر

Rui SA SHIBASAKI is a Lecturer at the University of Picardie Jules Verne (UPJV), France, affiliated with research unit UR 4290. Her work bridges optimization theory and industrial applications, with a growing focus on sustainable manufacturing and robust decision-making under uncertainty. She maintains active collaborations across France, Brazil, and the USA. Her research spans optimization , artificial intelligence , and operations research , specializing in constraint programming applications for assembly line balancing, network design, and energy efficiency. Recent work innovates by applying MaxSAT solvers to combinatorial problems and developing robustness metrics for production systems. Analysis of her 13 publications (2020-2025) reveals three dominant trends: (1) Energy-aware manufacturing optimization (40% of recent work), (2) Advanced decomposition techniques for network problems (30%), and (3) Diversified solution approaches for satisfiability (20%). Her research increasingly addresses sustainability through energy peak minimization in production systems. Dr. Shibasaki actively supervises graduate students and collaborates internationally with researchers from Federal University of Minas Gerais (Brazil), CNRS (France), and IBM Research (USA). Her work is supported by competitive grants enabling participation in major conferences like ROADEF and IEEE ICTAI. As part of UPJV's UR 4290 research unit, she contributes to optimization and cryptography initiatives. While no formal lab name is specified, her work centers on developing practical AI-driven optimization tools for industrial challenges, particularly in manufacturing and logistics.

Gaëlle Le Folمشاهده پروفایل

استاد

• Financial Markets Microstructure
• Empirical Asset Pricing
• Econometrics of Finance
• +۶ مورد دیگر

Gaëlle Le Fol is a Professor of Finance at the University of Paris - Dauphine, where she has directed the Master 203 - Financial Markets program for over 12 years (2011-2024). She serves as head of the QTEM network and is responsible for the chair "Development of quantitative management" / QMI (Quantitative Management Initiative) of the Fondation du Risque. Her research activities are centered at DRM (Dauphine Research in Management) - Finance and CREST (Centre for Research in Economics and Statistics). Her research spans several key areas in financial economics with particular emphasis on financial markets microstructure, empirical asset pricing, and econometrics of finance. Recent work investigates investor behavior and its impact on trading characteristics, market liquidity, contagion, systemic risk, risk premia, high-frequency trading strategies, and the impact of ESG factors on security returns. She has developed expertise in analyzing large datasets and applying advanced econometric techniques to financial market data. Analysis of her recent publications reveals a strong trend toward studying ESG impacts on financial markets, high-frequency trading dynamics, and liquidity measurement. Her work increasingly incorporates big data methodologies and focuses on understanding market microstructure through advanced statistical modeling. There's a clear progression from traditional asset pricing research toward more contemporary issues like sustainable finance and quantitative management approaches. Professor Le Fol teaches econometrics, econometrics of finance, and electronic markets at the University of Paris - Dauphine. While specific grant information isn't detailed in the provided text, her extensive publication record and leadership roles suggest significant research funding support. Her work with the QTEM network indicates involvement in international academic collaborations and educational initiatives. She is affiliated with several important research entities including DRM (Dauphine Research in Management) - Finance, CREST (Centre for Research in Economics and Statistics), and the QMI (Quantitative Management Initiative) of the Fondation du Risque. These affiliations provide her with access to extensive financial datasets and collaborative opportunities with leading researchers in quantitative finance.