جست‌وجوی استاد و پژوهشگر

Francesca PARPINELمشاهده پروفایل

دانشیار

• Statistics
• Machine Learning
• Econometrics
• +۳ مورد دیگر

Francesca PARPINEL serves as an Associate Professor in the Department of Economics at Ca' Foscari University of Venice, holding additional responsibilities as Department Delegate for Language Training. Her academic work spans statistical methodology development and practical applications in economics and finance. Her educational background includes a Degree in Statistics Applied to Economics (1990) and PhD in Statistics (1994), both from the University of Padua. She progressed from Assistant Professor (1996-2002) to her current Associate Professor position (2002-present), while coordinating the Bachelor's Degree Program in International Trade and Tourism from 2011-2018. Research interests focus on advanced statistical methodologies including estimation methods for regressions on complex spaces , evolutionary algorithms for regime-changing models , and statistical measures of systemic risk . Her work bridges theoretical statistics with practical financial applications, particularly in trading systems and risk assessment. Recent publications demonstrate strong interdisciplinary connections between statistics, finance, and computational methods, with increasing emphasis on machine learning applications in financial distress prediction and climate derivatives pricing. She actively supervises undergraduate and graduate theses requiring data analysis, emphasizing proficiency in R programming. Her teaching portfolio includes Statistics, Multivariate Statistics, and specialized laboratories across multiple degree programs including International Trade and Tourism, Economics and Commerce, and Global Development. PARPINEL has organized significant academic events including SIS 2015 (Statistics and Demography: the Legacy of Corrado Gini) and multiple MAF conferences, while maintaining membership in the Italian Statistical Society (SIS).

• Retail operations
• Revenue management
• Logistics
• +۵ مورد دیگر

Nevin Mutlu is an Assistant Professor in the Operations Planning, Accounting & Control (OPAC) Group within the School of Industrial Engineering at Eindhoven University of Technology (TU/e). She is affiliated with multiple research centers including the Data Science Center Eindhoven (DSC/e), Efficient Consumer Response (ECR) Community, Retail Operations Lab, and Freight Transport & Logistics Research Group. Her industry partnerships include Nike and the ECR Community, demonstrating strong connections between her academic research and practical retail applications. Dr. Mutlu received her PhD and MSc degrees in Industrial and Systems Engineering from Virginia Tech, USA in 2016 and 2013, respectively. She also holds a BSc degree in Industrial Engineering and a BA degree in Economics from University at Buffalo, State University of New York, USA. Prior to joining TU/e in 2016, she served as a graduate teaching assistant and instructor at Virginia Tech, teaching courses in operations research and working with the Office of Emergency Management on real-world applications. Her research bridges optimization, economics, and marketing to address industry-relevant problems in retail operations and logistics. She specializes in modeling how operational decisions impact consumer behavior, with particular focus on retail pricing, experiential retail, e-commerce adoption, and transportation systems. Her interdisciplinary approach combines theoretical optimization techniques with practical business considerations, resulting in impactful research that addresses current challenges in retail and supply chain management. Analysis of her publications reveals a strong trajectory in operations research with increasing focus on consumer behavior dynamics. Her work spans theoretical optimization methods (resource allocation, production-routing problems) and applied retail contexts (experiential retail, dual-channel strategies). Recent publications show growing interest in sustainability aspects of retail operations and transportation, reflecting contemporary industry challenges. Her research consistently addresses the complex interplay between operational decisions and consumer responses, providing valuable insights for both academia and industry. EU Horizon 2020 Marie Curie Individual Fellowship (2018-2020) Dr. Mutlu actively contributes to research funding through projects like SYNERCIZE: SYnchromodal Transport NEtworks for a Construction Industry towards Zero Emissions (2025-2027), where she serves as a project member. Her teaching portfolio includes Supply Chain Management, Revenue Management and Pricing Analytics, and Project and Process Management courses. She has also served on committees such as the AI Planner of the Future program, demonstrating engagement with emerging technologies in her field. Her research is supported by multiple affiliations including the Data Science Center Eindhoven, ECR Community, and Retail Operations Lab, providing collaborative environments for interdisciplinary work. Her industry partnerships, particularly with Nike, facilitate the translation of academic research into practical retail solutions. The SYNERCIZE project demonstrates her expanding research scope into sustainable transportation networks for construction industries.

• Operations Research
• Applied Probability
• System Optimization
• +۷ مورد دیگر

Gözde Yazgı Tütüncü is a Professor in the Department of Mathematics at İzmir University of Economics, where she has served as faculty since 2010. She earned her PhD in Operations Research and Statistics from Coventry University (UK) in 2006, following MSc degrees in Statistics (Ankara University, 2001) and Industrial Engineering (Başkent University, 2003). She previously held Assistant Professor positions at İzmir University of Economics (2006-2008) and IESEG School of Management, Lille Catholic University (France, 2008-2010). PhD: Operations Research & Statistics, Coventry University (2006) MSc: Statistics, Ankara University (2001) MSc: Industrial Engineering, Başkent University (2003) BSc: Statistics, Ankara University (1999) Her research spans Operations Research, Applied Probability, and System Optimization with emphasis on Reliability Engineering, Fuzzy Logic applications, Healthcare System Optimization, and Heuristic Algorithms for decision-making. She has developed innovative approaches in inventory control under fuzzy costs, vehicle routing optimization, and reliability analysis of complex systems. Her work bridges theoretical mathematics with practical applications in logistics, healthcare, and bioinformatics. Recent publications demonstrate evolving expertise from classical Operations Research (2008-2012) toward interdisciplinary applications in bioinformatics (RNA-Seq analysis since 2019) and advanced fuzzy mathematics (2024). Key publication venues include European Journal of Operational Research, OMEGA, and International Journal of Production Economics, with growing emphasis on computational methods for high-dimensional data. Her scholarly contributions appear in leading journals including: European Journal of Operational Research International Journal of Production Economics OMEGA: International Journal of Management Science Bioinformatics journals for genomic applications Professor Tütüncü has established collaborative research networks across Turkey, France, and international institutions, with significant contributions to reliability theory, fuzzy optimization, and vehicle routing algorithms. Her current work focuses on integrating machine learning with traditional Operations Research methods for complex system optimization.

Nicky van Foreestمشاهده پروفایل

دانشیار

• Probability
• Optimization
• Stochastic Processes
• +۵ مورد دیگر

Dr. Nicky van Foreest is an Associate Professor at the Faculty of Economics and Business , University of Groningen. His research bridges probability theory and optimization , focusing on applications in manufacturing, inventory, queueing, and service processes. His 15 most recent articles explore computational methods in probability, recursion, and entropy (e.g., Solving Wordle with Entropy ), geometric properties (e.g., Sagemath Proofs for Three Circles ), and stochastic system analysis (e.g., Memoryless Excursions ). He develops educational materials and open-source software, including contributions to stochastic_or and sicm_sagemath . Contact: n.d.van.foreest@rug.nl | University Profile | Personal Homepage .

• Industrial Engineering
• Operations Research
• Supply Chain Management
• +۳ مورد دیگر

Durdu Hakan Utku is an Associate Professor in the Department of Industrial Engineering at Ankara Yildirim Beyazit University. His research focuses on optimization techniques, supply chain management, and ergonomic design across diverse industries. Key Research Areas : Inventory optimization, production scheduling, energy systems, and hazardous waste management. Methodologies : Mixed-integer programming, simulation modeling, and stochastic approaches using tools like GAMS and ARENA. Publication Trends : Recent works emphasize mathematical models for minimizing logistics costs, ergonomic improvements in educational facilities, and multi-modal supply chain strategies for natural gas. Keywords include industrial engineering, operations research, and environmental sustainability. Collaborations : Co-authored studies with researchers like Fatih Kasimoğlu and Betül Soyöz, applying optimization frameworks to real-world problems in Turkey.

James Broachمشاهده پروفایل

استاد

• Molecular Biology
• Genetics
• Genomics
• +۶ مورد دیگر

James Broach is a Professor at Penn State University , holding dual appointments in the Department of Molecular and Precision Medicine and Department of Otolaryngology - Head and Neck Surgery . He serves as Interim Chair and Director of the Institute for Personalized Medicine , leading initiatives in genomic medicine and contributing to the Penn State Cancer Institute . His work aligns with UN Sustainable Development Goal 3: Good Health and Well-being. Research Interests Yeast Saccharomyces as a model organism for studying cell-environment interactions Signaling pathways for nutrient sensing (Ras/protein kinase A, TOR complex) Single-cell stress response heterogeneity and survival strategies Personalized medicine through genomics, biorepositories, and bioinformatics Applications in cancer, ALS, multiple sclerosis, and osteoporosis Scientific Awards Career Citation Milestone Award - D (500) Club (2020) Career Citation Milestone Award - M (1000) Club (2017) Article Trends Focus on genomic instability, HPV integration, and stress response mechanisms in 2025 Recent work bridges yeast signaling studies to clinical applications in leukemia and head/neck cancer Long-term contributions to pathway modeling and big data training programs

Achim Kobersteinمشاهده پروفایل

استاد

• Design of decision support systems
• Modelling and optimization of deterministic and stochastic planning problems
• Applications in operations and supply chain management

Achim Koberstein is a Professor of Business Administration with a focus on Business Informatics and Operations Research at the Faculty of Economics and Business Administration (Wiwi) , European University Viadrina Frankfurt (Oder). His academic career spans multiple institutions, including Goethe-University Frankfurt and the University of Hamburg. Education: Doctorate in Business Informatics (Dr. rer. pol.) at the University of Paderborn (2005) Diploma in Computer Science (Minor: Business Administration) at the University of Paderborn (2002) His research centers on decision support systems , stochastic and deterministic optimization models , and applications in supply chain and automotive production planning . Recent work explores drug shortages, drone logistics, and hybrid electric vehicle routing. His publications highlight a focus on stochastic programming , MILP modeling , and real-world logistics challenges across healthcare, automotive, and maritime domains. Current affiliations include leadership roles in the Faculty of Economics and Business Administration's Dean's team. Contact: Email: koberstein@europa-uni.de Office: Main Building (HG) 043, Große Scharrnstraße 59, 15230 Frankfurt (Oder)

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +۵ مورد دیگر

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.

Yossi Bukchinمشاهده پروفایل

استاد

• Assembly systems design
• Assembly line balancing
• Facility design
• +۵ مورد دیگر

Prof. Yossi Bukchin is a Professor in the Department of Industrial Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on manufacturing systems, production engineering, and operations research with particular expertise in assembly line design and optimization. His primary research interests include: Assembly systems design Assembly line balancing Facility design Operational scheduling Human factors engineering Warehouse and storage systems Prof. Bukchin's recent work demonstrates a strong focus on puzzle-based storage systems, assembly line optimization, and operations management. His research spans both theoretical developments in scheduling algorithms and practical applications in manufacturing and logistics systems. He has made significant contributions to the understanding of Bucket Brigade systems, puzzle-based storage optimization, and assembly line balancing with mixed-model production. His scholarly output shows evolution from early work on robotic assembly lines to contemporary research on machine learning applications in warehouse systems and advanced optimization techniques for modern manufacturing challenges. Contact information: Email: bukchin@tau.ac.il Phone: 03-6407941 Fax: 03-6407669 Office: Wolfson - Engineering

Bo Zengمشاهده پروفایل

دانشیار

• Optimization
• Robust Optimization
• Stochastic Programming
• +۷ مورد دیگر

Bo Zeng is an Associate Professor in the Swanson School of Engineering at the University of Pittsburgh. His research focuses on developing and utilizing optimization and analytics tools to address challenges in real systems, particularly in discrete optimization models with uncertainties, game theory models, and advanced data analysis and computing methods. His work is extensively applied in engineering, healthcare, and management systems. Dr. Zeng earned his PhD from Purdue University in 2007 and his BS from Xian Jiaotong University in 1998. His research interests span optimization, robust optimization, stochastic programming, power systems, demand response, renewable energy integration, high performance computing, game theory, mixed integer programming, and multilevel optimization. Analysis of Dr. Zeng's recent publications reveals a strong focus on power systems and energy applications, with significant contributions to microgrid planning, demand response modeling, renewable energy integration, and robust optimization techniques. His work demonstrates a consistent pattern of applying advanced mathematical optimization methods to solve complex problems in energy systems, with increasing attention to uncertainty modeling and risk management in power grid operations. Dr. Zeng has collaborated extensively with researchers across multiple institutions, particularly in China, reflecting the global nature of energy research and the international collaboration needed to address complex energy challenges. His publications span high-impact journals in power systems, optimization, and interdisciplinary energy research.

Keely Croxtonمشاهده پروفایل

استاد

• Supply Chain Management
• Supply Chain Resilience
• Facility Location
• +۴ مورد دیگر

Keely Croxton serves as Professor of Logistics in the Department of Marketing and Logistics at The Ohio State University's Max M. Fisher College of Business. Her academic leadership spans undergraduate, MBA, PhD, and Executive Education programs where she teaches supply chain management, forecasting, modeling, and Social Impact courses. Dr. Croxton holds a PhD from the Massachusetts Institute of Technology and a BS from Northwestern University. Prior to academia, she gained industry experience in automotive, paper and packaging, and third-party logistics sectors. Her research centers on supply chain resilience, developing frameworks to balance vulnerabilities with management capabilities during disruptions. Specialized interests include facility location, demand management, relationship management, and supply chain integration. Her work demonstrates consistent focus on process-oriented approaches to supply chain challenges, particularly examining how firms respond to operational disruptions through strategic adaptation and relationship capital. Analysis of her publication history reveals strong emphasis on supply chain risk mitigation (60% of recent works), with significant contributions to supplier portfolio management, resilience assessment tools, and big data integration challenges. Her research consistently bridges theoretical frameworks with practical industry applications, often developed through collaborations with organizations like OSU's National Center for the Middle Market. Bernard J. LaLonde Best Paper Award (Journal of Business Logistics, 2005) Finalist for Bernard J. LaLonde Best Paper Award (Journal of Business Logistics, 2010) Research grant funding from OSU’s National Center for the Middle Market (2013) Dr. Croxton serves on the advisory board for OSU’s Global Water Initiative and has developed influential frameworks for supply chain management processes. Her industry background informs practical teaching approaches across multiple degree programs, including specialized courses like Contemporary Issues in Supply Chain Management (BUSOBA 7392) and Strategic Supply Chain Management (BUSML 7391).

Alexander Barvinokمشاهده پروفایل

استاد

• Computational Complexity
• Algorithms
• Algebra
• +۶ مورد دیگر

Alexander Barvinok is a Professor in the Department of Mathematics at the University of Michigan, Ann Arbor. His office is located in East Hall (4066 East Hall), where he has been conducting research and teaching advanced courses in computational mathematics since receiving his Ph.D. from Leningrad State University in 1988. Professor Barvinok's research focuses on computational complexity and algorithms in algebra, geometry and combinatorics. He is particularly interested in connections between various notions of phase transition in statistical physics, analytical properties of partition functions and computational complexity. His work bridges theoretical mathematics with practical computational approaches, exploring how physical phenomena can inform algorithmic design and analysis. His research spans convex geometry, combinatorial optimization, and the computational aspects of polynomial systems. His recent publications (2016-2024) demonstrate a consistent focus on partition functions, computational aspects of convex bodies, and approximation algorithms for counting problems. He has made significant contributions to understanding the zeros of partition functions in statistical physics models, developing efficient volume estimation algorithms for polyhedra, and creating polynomial-time approximation schemes for problems previously thought to be computationally intractable. His work frequently connects algebraic properties of polynomials with computational feasibility. Professor Barvinok has authored several influential textbooks including "A Course in Convexity" (AMS Graduate Studies in Mathematics, 2002), "Integer Points in Polyhedra" (Zurich Lectures in Advanced Mathematics, 2008), and "Combinatorics and Complexity of Partition Functions" (Springer, 2016). He regularly teaches advanced graduate courses such as Math 669 on specialized topics including "Combinatorics, Geometry and Complexity of Integer Points" and "Topics in Convexity," with his lecture notes often evolving into significant research contributions.

Masoud Kamalahmadiمشاهده پروفایل

استادیار

• Supply Chain Resilience
• Risk Management
• Operational Strategies
• +۵ مورد دیگر

Masoud Kamalahmadi is an Assistant Professor at the Miami Herbert Business School , University of Miami, specializing in Management Science . His research focuses on supply chain resilience , operational risk management , and workforce scheduling in healthcare and hospitality sectors. Developed stochastic models to quantify benefits of flexibility/redundancy in supply chains Created optimization frameworks for hospitalist case-mix and restaurant JIT scheduling Investigated telehealth applications for healthcare access improvement His work spans theoretical modeling and real-world implementation, with applications in inventory pre-positioning , supplier diversification , and labor productivity analysis . Publications appear in top journals like Management Science and International Journal of Production Research .

• Production Management Systems
• Disruption Management
• Cellular Manufacturing Systems
• +۵ مورد دیگر

M. Selim Akturk is a Professor in the Department of Industrial Engineering at Bilkent University's Faculty of Engineering in Ankara, Turkey. His academic career spans over three decades since earning his Ph.D. from Lehigh University in 1990, during which he has established himself as a leading researcher in operations research and production systems. Education: Ph.D. in Industrial Engineering, Lehigh University (1990) M.S. in Industrial Engineering, Middle East Technical University (METU) (1984) B.S. in Industrial Engineering, Middle East Technical University (METU) (1982) Akturk's research focuses on Production Management Systems, Disruption Management, Cellular Manufacturing Systems, Production Scheduling, and Advanced Manufacturing Technologies. His work demonstrates particular expertise in scheduling problems with controllable processing times, airline operations optimization, and robotic cell scheduling. His research bridges theoretical advances with practical applications in manufacturing and transportation systems. His extensive publication record shows a consistent trajectory of high-impact research, with recent work (2016-2022) focusing on airline scheduling with cruise speed control, risk-averse stochastic programming, and robotic cell optimization. His publications appear in top-tier journals including Operations Research, Transportation Research Part B/C, and European Journal of Operational Research, demonstrating both theoretical rigor and practical relevance. Scientific Awards: Fellow, Class of 2023, The Institute for Operations Research and the Management Sciences (INFORMS) 2008 Winner of the Bilkent University Distinguished Teaching Award 1988 Winner of the Lehigh University Arthur E. Humphrey Outstanding Teaching Assistant Award Akturk has taught numerous courses at multiple institutions including Bilkent University (IE 376, IE 463, IE 561, IE 573), Lehigh University (MSE 433, IE 222), and McGill University (305-529, 277-601). His teaching spans production systems design, operations scheduling, manufacturing processes, and stochastic models, reflecting his broad expertise in industrial engineering principles and applications.

• 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.