جستجوی استاد راهنمای دانشگاهی

Salim ROSTAMI is an Associate Professor at the IÉSEG School of Management in France, specializing in Operations Management. He holds a Ph.D. in Economics and Mathematics Sciences from KU Leuven (2019) and a Master’s in Engineering from KU Leuven (2013), alongside a Bachelor’s in Industrial Engineering from Ferdowsi University of Mashhad (2012). His research focuses on scheduling under uncertainty, project planning, combinatorial optimization, and healthcare logistics. Notable achievements include the 2016 2nd Best Conference Paper Award from the University of Valencia. Education: Ph.D., Economics and Mathematics Sciences, Operations Management, KU Leuven, Belgium (2019) Master, Engineering, Operations Research, KU Leuven, Belgium (2013) Bachelor, Engineering, Industrial Engineering, Ferdowsi University of Mashhad, Iran (2012) His work spans stochastic resource-constrained project scheduling, sequential testing of systems, and chemotherapy appointment scheduling. He has published widely in journals like the European Journal of Operational Research and Flexible Services and Manufacturing Journal. Teaching roles include courses on operations management and project management across undergraduate and graduate programs. Awards: 2016: 2nd Best Conference Paper Award, University of Valencia His research emphasizes practical applications in healthcare and project management, leveraging dynamic programming and metaheuristic algorithms. Collaborations include work with institutions like École des Mines de Saint-Étienne and KU Leuven.

• Operations Research
• Scheduling under Uncertainty
• Project Planning and Scheduling
• +۳ 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.

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

Hamed Jalali is a Full Professor in Supply Chain Management at NEOMA Business School since September 2024, having joined the institution in September 2017. He holds a Master's degree in Statistics and a PhD in Business Economics from KU Leuven, Belgium. His research emphasizes simulation-based optimization, particularly Kriging-based algorithms, and explores intersections between marketing and operations management, as well as sustainable supply chain practices using game-theoretic models. His work has been published in journals like IIE Transactions , European Journal of Operational Research , and International Journal of Production Economics . Dr. Jalali has received numerous teaching awards at NEOMA Business School and collaborates with industries such as IMEC and EuroGijbels on projects like inventory management and rationing strategies. His research spans inventory dynamics, product portfolio management, blockchain applications in supply chains, and coopetition models in closed-loop systems. Education: PhD in Business Economics, KU Leuven, Belgium Master's degree in Statistics, KU Leuven, Belgium His recent articles highlight contributions to sustainable supply chain traceability, bullwhip effect mitigation through product portfolio adjustments, and multiobjective optimization algorithms. He actively reviews for top-tier journals and presents at international conferences. Key Awards: Multiple teaching excellence awards at NEOMA Business School. Industrial Projects: Collaboration with IMEC and EuroGijbels on inventory management and supply chain sustainability initiatives. His research integrates technical simulation methods with real-world supply chain challenges, emphasizing both operational efficiency and environmental sustainability.

• Simulation-Based Optimization
• Supply Chain Management
• Operations Management
• +۴ مورد دیگر

Messaoud Chibane is an Assistant Professor in Finance at NEOMA Business School and Director of the MSc Finance & Big Data program. His research focuses on asset valuation, macro-finance linkages, sustainable finance, and cryptocurrencies. He holds a PhD in Finance from EDHEC Business School, a DEA in Applied Economics from Université Paris-La Sorbonne, and engineering degree from École Centrale Paris. Prior to academia, he spent 18 years as a quantitative analyst at international investment banks. His research spans topics such as cryptocurrency behavior during geopolitical events, housing market disasters' impact on asset prices, and ESG investment strategies under rating uncertainty. Notable publications include Finance Research Letters , Economic Modelling , and Risk Magazine . He actively engages in academic conferences, presenting at venues like the Southern Economic Association and the International Finance and Banking Society. Chibane's work bridges theoretical finance with practical applications, leveraging both academic and industry expertise. His recent articles highlight trends in quantifying Bitcoin's safe-haven properties and modeling rare disaster effects on financial markets.

• Cryptocurrencies
• Asset Valuation
• Macroeconomics and Financial Markets Link
• +۵ مورد دیگر

Thomas J. Santner is a Professor in the Department of Statistics at Ohio State University. His research focuses on experimental design, particularly in integrating computer simulations with physical experiments. He co-authored influential books including *The Design and Analysis of Computer Experiments* (Springer, 2019) and *The Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons* (Wiley, 1995). His work bridges statistics and engineering, addressing challenges in prosthesis design, biomedical systems, and industrial processes. Notably, he collaborates with the Hospital for Special Surgery on bone-implant systems and biomaterials research. Education: Ph.D., Purdue University, 1973. Research interests include: Computer experiments and hybrid simulation-physical experimentation Statistical selection and screening methodologies Applications in biomedical engineering and manufacturing optimization Uncertainty quantification in finite element models Recent work emphasizes optimizing complex systems through calibrated simulators, with applications in injection molding processes and joint replacement design. His articles demonstrate methodological contributions to design efficiency, sensitivity analysis, and multiobjective optimization. Prior roles include former Director of the Department of Statistics' Consulting Service and former Department Chair at Ohio State University.

• Design of Experiments
• Computer Simulations
• Statistical Selection and Screening
• +۳ مورد دیگر

Jean-François CARON is a Professor and Research Director at the Navier Laboratory affiliated with École des Ponts ParisTech. His primary role involves advancing research in composite materials, damage modeling, and digital construction technologies. He leads the Architected Materials and Structures team at the Navier Laboratory and oversees the development of additive manufacturing and robotic construction platforms. His work integrates mechanical engineering, civil engineering, and advanced materials science to address challenges in sustainable construction and composite applications. Research Interests: His research focuses on composite materials for construction (e.g., wood/concrete hybrids, deployable structures), additive manufacturing (3D printing of concrete), and digital construction methodologies. He also explores material characterization, residual stress control, and low-carbon materials for eco-friendly infrastructure. Articles Trends: His recent publications emphasize experimental and computational studies of 3D-printed concrete properties, material lifecycle assessments, and structural optimization. Key themes include minimizing carbon footprints through multiobjective optimization, residual stress mitigation in additive manufacturing, and quality control across 3D printing scales. Scientific Contributions: He has pioneered studies on composite applications in civil engineering and leads initiatives for advanced construction technologies. His work bridges material science with engineering practices, contributing to both theoretical and applied advancements in sustainable infrastructure. Grants & Advising: While specific grants are not detailed, his roles as a Lab Director and Professor imply involvement in major research programs. He likely advises students on topics related to composite materials and digital construction, though no explicit student list is provided. Labs & Teams: He is responsible for the Architected Materials and Structures team at Navier Laboratory, driving innovation in additive manufacturing and robotic construction techniques. His work supports the deployment of experimental platforms for next-generation construction methods.

• Composite Materials
• Civil Engineering
• Mechanical Engineering
• +۵ مورد دیگر

Bénédicte Talon is an Associate Professor at the University of the Côte d'Opale, affiliated with the LISIC laboratory (Laboratoire d'Informatique Signal et Image de la Côte d'Opale). Her research focuses on computational optimization, evolutionary algorithms, and metaheuristics. Her work explores multiobjective optimization in discrete spaces, including the design of local search strategies , fitness landscape analysis , and algorithm configuration for imbalanced data classification. Recent publications highlight her contributions to neighborhood search techniques, expansion-based pivoting rules, and applications in medical diagnostics and traffic modeling. The 15 most recent publications span 2018–2024 , demonstrating sustained expertise in evolutionary computation , combinatorial optimization , and fitness landscape theory . While no explicit awards or students are listed, her collaborative work extends to interdisciplinary applications like cancer prediction via VOC analysis and transportation system modeling .

• Multiobjective Optimization
• Evolutionary Computation
• Local Search Algorithms
• +۴ مورد دیگر

PHAM Viet Nga is a researcher specializing in Modeling and Optimization in Finance and Data Mining . Her work focuses on DC Programming, portfolio optimization, and mixed-integer programming applications. Currently based in Vietnam (EC), she has contributed to academic conferences and submitted journal articles in optimization fields. She previously directed a doctoral thesis from 2009-2013 under the supervision of Pham DT. Key research areas include discrete optimization techniques, financial modeling with transaction cost analysis, and applications in shift scheduling. Her methodologies combine DC Programming with DCA (Difference of Convex functions Algorithm) to address complex problems in bounded variable spaces and multiobjective scenarios. Selected contributions include presentations at the ICOTA 2010 , ROADEF 2011 , and EURO 2012 , focusing on portfolio optimization, linear least squares problems, and shift scheduling solutions. Publications include submitted journal work on concave transaction costs and in-preparation manuscripts on multiobjective programming applications.

• Optimization
• Finance
• Data Mining
• +۳ مورد دیگر

Dr. Vincent T'KINDT is a Researcher in the Computer Science Department at the Polytechnic School of the University of Tours. He serves as Head of the "Scheduling and Management" axis at the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT, UR 6300) and as Head of Corporate Relations for his department. His research focuses on Scheduling , Multi-criteria Optimization , and Operational Research , contributing to theoretical and applied advancements in these fields. Recent publications highlight his work on Multi-objective scheduling for parallel machines Heuristic algorithms for dynamic scheduling Just-in-Time scheduling models Rescheduling with setup times His research combines exact and approximate methods to solve complex industrial scheduling challenges. He has authored key works in journals like the Journal of Scheduling , Computers & Operations Research , and European Journal of Operational Research , with notable contributions including the book Multicriteria Scheduling: Theory, Models and Algorithms (Springer, 2006). Dr. T'KINDT collaborates with the LIFAT laboratory (UR 6300) and has participated in international conferences such as PMS'08, MISTA'07, and MAPSP2007. His methodological approaches include Integer Programming, Beam Search algorithms, and Pareto optima enumeration.

• Scheduling
• Multi-criteria Optimization
• Operational Research
• +۱ مورد دیگر

Dr. Shishir Gaur is an Associate Professor in the Department of Civil Engineering at the Indian Institute of Technology (Banaras Hindu University). He holds an affiliated professorship at the Environnement, Ville et Société (EVS) laboratory at the École des Mines de Saint Étienne, France (2023-2025). His research focuses on numerical modeling, optimization techniques, machine learning, and remote sensing applications in water resources management. Key projects include the CNRS International Research Project (IRP) on river-aquifer exchanges in the Ganga and Rhône basins, and collaborations with institutions like CNRS, ANR, and ISRO. Education: PhD from IIT Delhi (with École des Mines collaboration), Postdoc at EMSE, France. He has led over 40 publications and multiple research projects funded by EU, DST, and MHRD. Current advising includes 4 PhD and 3 M.Tech. students. His work emphasizes Franco-Indian partnerships, such as the MoU between ENS de Lyon and IIT Varanasi. Research interests span groundwater management, river quality monitoring (hyperspectral data), and sustainable solutions for water resources. Notable publications include studies on river-aquifer exchanges, sediment load prediction, and thermal pattern analysis of the Ganges. Collaborations extend to projects like H2O'Lyon Summer School and international workshops on river rehabilitation. Grants include Danish Embassy funding for clean river solutions, ISRO grants for water quality sensors, and DBT-EU initiatives for biotechnical treatments. Technical skills include MATLAB, GMS, and GIS software. He has organized conferences like RHAR-2019 and serves on national committees like AICTE’s Induction Programme.

• Numerical Modelling
• Optimization Techniques
• Machine Learning
• +۶ مورد دیگر

Abderrahim Jourani is a Professor and Director of the Institut de Mathématiques de Bourgogne (IMB), UMR 5584 CNRS, at the University of Burgundy. He works in the Department of Mathematics within the Faculty of Science and Technology, focusing on Optimization and Nonsmooth Analysis. His office is located in the Mirande Building, Wing A, Office 413 in Dijon, France. Professor Jourani's research spans numerous areas within mathematical optimization, including metric regularity , subdifferential calculus , parametric optimization , multiobjective optimization , and dynamic optimization . His work has significant theoretical depth with applications in economics, control theory, and mathematical programming. He has made substantial contributions to understanding the geometrical and topological aspects of nonsmooth analysis. His recent publications (2018-2025) demonstrate a strong focus on sweeping processes, subdifferential calculus of integral functions, metric regularity, and applications to optimization and control problems. The research shows progression from theoretical foundations to practical applications in stochastic control, sparse regularization, and conical constraint qualification. Director of the Institut de Mathématiques de Bourgogne UMR 5584 CNRS (2016-present) Member of the Executive Directors Committee of EIPHI University Research School (2018-present) Former Director of the Department of Mathematics (2007-2013) Responsible for the "Applied Analysis and Optimization" team at IMB (2005-2014) Professor Jourani has supervised numerous PhD students including T. Zakaryan, E. Vilches, S. Bellaassali, and P. Bosch. He has served as an examiner or rapporteur for over 20 PhD theses across various French and international universities. His collaborative work spans multiple countries including Morocco, Chile, Poland, and the United States.

• Optimization
• Nonsmooth Analysis
• Metric Regularity
• +۷ مورد دیگر

Sorin-Mihai Grad is a Researcher at the Applied Mathematics Unit (UMA) of ENSTA Paris , Institut Polytechnique de Paris. His work spans optimization, control theory, and algorithm design, with a focus on nonconvex problems and stochastic methods. Fields of Interest : Optimization, Control Theory, Nonconvex Optimization, Stochastic Algorithms, Mathematical Programming. Scientific Awards : Top 10 Romanian Scientists Abroad (2024) CIAS Senior Research Fellowship (2022) STAR-UBB Advanced Fellowship (2020) Publications : 15+ recent works on proximal point algorithms, inertial effects, quasiconvex functions, and stochastic mirror descent, with applications in logistics, tomography, and machine learning. Email : sorin-mihai.grad@ensta-paris.fr

• Optimization
• Control Theory
• Nonconvex Optimization
• +۲ مورد دیگر

Professor Laëtitia JOURDAN is affiliated with the University of Lille , where she works in the College of Science and Technology within the Department of Computer Science . She leads the ORKAD team at the CRIStAL laboratory (UMR 9189). Her research focuses on synergies between combinatorial optimization and knowledge extraction , aiming to enhance optimization methods through domain knowledge while solving complex knowledge extraction problems using operational research techniques. Her work includes both mono-objective and multi-objective optimization approaches, with applications in software development and data science. Recent publications highlight her expertise in evolutionary algorithms for multiobjective scheduling problems and biomedical data analysis for lung cancer detection through exhaled breath profiling. As a faculty member, her work bridges theoretical research in automated machine learning with practical implementations in optimization software tools.

• Combinatorial Optimization
• Multi-objective Optimization
• Data Mining
• +۳ مورد دیگر

Sebastien Verel is a Researcher at the Laboratoire d'Informatique de l'Université du Littoral Côte d'Opale (LISIC) . His work focuses on complex systems, combinatorial optimization, evolutionary computation, and fitness landscape analysis. Research Interests: Multiobjective optimization, metaheuristics, adaptive algorithms, and simulation-based modeling Collaborations: Active in international conferences (GECCO, EvoCOP, PPSN) with teams from UK, Italy, Australia, and Morocco Key Publications (2023-2025) address topics like: Pareto local optimal networks for multiobjective landscapes Surrogate-assisted optimization using Walsh decomposition Fitness landscape analysis across ML models and protein engineering Urban mobility benchmarks (bus spacing in Calais)

• Complex systems
• Combinatorial optimization
• Evolutionary computation
• +۵ مورد دیگر