جست‌وجوی استاد و پژوهشگر

Yasemin Merzifonluogluمشاهده پروفایل

دانشیار

• Supply Chain Optimization
• Operations Research
• Production Planning
• +۴ مورد دیگر

Yasemin Merzifonluoglu is an Associate Professor at Tilburg University's Tilburg School of Economics and Management, Department of Econometrics and Operations Research. She holds a PhD in Industrial Engineering from the University of Florida and specializes in supply chain optimization and operations research. Her research focuses on procurement portfolio management, supply chain resilience, reinforcement learning applications in logistics, and decision-making under uncertainty. Current projects investigate value of information in risk-averse decision contexts and optimization methods for container shipping networks. Professor Merzifonluoglu's recent publications demonstrate work on integrated supply chain planning problems, with particular attention to customer selection, procurement strategies, and disruption management. Her research combines analytical modeling with computational approaches. She co-supervises PhD candidate Tijn Fleuren and teaches courses including Supply Chain Analytics, Decision Making under Uncertainty, and Inventory and Production Management. Her work has been funded by projects such as the Marie Curie initiative 'Optchain: Optimal Mechanisms to Match Supply and Demand in Contemporary Supply Chains' (2012-2016).

Matheus Grasselliمشاهده پروفایل

استاد

• Financial Mathematics
• Stochastic Analysis
• Probability Theory
• +۵ مورد دیگر

Matheus Grasselli is a Professor of Financial Mathematics at the Department of Mathematics and Statistics, McMaster University, where he currently serves as Deputy Provost since July 2022. He is affiliated with the PhiMac research group and co-leads the Systemic Risk Analytics initiative at the Fields Institute. His previous roles include Deputy Director at the Fields Institute (2012–2016) and Director of the Centre for Financial Industries (2017–2020). Grasselli’s research spans Financial Mathematics, focusing on stochastic analysis, systemic risk, climate-economic modeling, and asset price bubbles. He has advised numerous graduate and undergraduate students, including PhD candidates and postdoctoral fellows, contributing to over 50 academic publications. His teaching includes advanced courses in financial mathematics, numerical methods, and real options, alongside contributions to the Integrated Sciences program. Grasselli holds a PhD in Information Geometry from King’s College London and has collaborated internationally on projects integrating economic theory with climate science. Education: PhD in Information Geometry, King’s College London. Leadership Roles: Deputy Provost (2022–present), Deputy Director (Fields Institute, 2012–2016), Director (Centre for Financial Industries, 2017–2020). Research Interests: Financial Mathematics, systemic risk, climate-economic models, asset price bubbles, and stochastic processes. His work bridges theoretical frameworks with practical applications in policy analysis and financial stability. Teaching: Courses include graduate programs like the McMaster Financial Mathematics (MFM) Master’s, numerical methods for finance, and undergraduate courses in calculus and linear algebra. He pioneered the design of the Integrated Sciences program. Collaborations: Active in interdisciplinary projects, including climate-economic modeling and systemic risk analysis. His research often employs agent-based computational economics and dynamical systems approaches.

Athanasios Pantelousمشاهده پروفایل

استاد

• Quantitative Research
• Mathematical Modeling under Risk/Uncertainty
• Actuarial Science
• +۳ مورد دیگر

Professor Athanasios Pantelous holds a position at Monash University's Department of Econometrics and Business Statistics, where he leads research in quantitative methods and mathematical modeling under risk/uncertainty. He has held roles at the University of Liverpool (Lecturer/Reader) and is affiliated with RiskLab Australia and SWUFE's Belief Analytics Lab. His expertise spans actuarial science, finance, stochastic mechanics, and operational research. Education: Bachelor's in Mathematics (2001), National and Kapodistrian University of Athens M.Sc. in Statistics/OR (2005), Applied Mathematics (2007), National and Kapodistrian University of Athens M.Sc. in Actuarial Statistics (2006), Ph.D. in Statistics (2008), Athens University of Economics and Business Second Ph.D. in Modelling and Systems Science (2013), City University London Research Interests: Focuses on quantitative research methods with applications in actuarial science, finance, and stochastic systems. Develops models for risk management, decision-making under uncertainty, and policy analysis. Active in causal analytics, machine learning, and sustainable supply chain systems. Recent Research Trends: Articles highlight advancements in causal inference algorithms (e.g., patterncausality R package), vaccine distribution frameworks, and stochastic modeling for nonlinear systems. Recent work explores behavioral finance (e.g., Chinese household investment behavior), sustainable supply chains, and environmental policy analysis. Awards & Grants: Co-led the £5.8M EPSRC/ESRC Center for Risk & Uncertainty (2014–2017). Current projects include Economic Scenario Generation for superannuation modeling and blockchain/cryptocurrency research. Recognized as a Fellow of the Hellenic Actuarial Society. Advising & Labs: Supervised 22 PhD students (2009–2023). Currently supervises 6 primary and 3 secondary students. Involved in RiskLab Australia, Belief Analytics Lab (SWUFE), and collaborates internationally in stochastic systems research.

Vishal Guptaمشاهده پروفایل

دانشیار

• Data-Driven Decision-Making
• Optimization under Scarce Data
• Artificial Intelligence
• +۴ مورد دیگر

Vishal Gupta is an Associate Professor of Data Sciences and Operations at the University of Southern California (USC) Marshall School of Business. He holds courtesy appointments in USC Viterbi’s Industrial and Systems Engineering Department and is an affiliate faculty member at USC’s Center for AI and Society. His research focuses on data-driven decision-making and optimization in scarce data environments, with applications in healthcare, education, AI, and revenue management. He has received prestigious awards including the Wagner Prize and Pierskalla Best Paper Prize. Gupta earned a B.A. in Mathematics and Philosophy (Yale University, Magna Cum Laude) and completed Part III of the Mathematics Tripos at the University of Cambridge. Before academia, he worked as a quantitative analyst at Barclays Capital. His research emphasizes high-stakes decision-making scenarios like precision healthcare and disaster response, where data scarcity is common. He has published extensively on topics such as decision-aware learning, reinforcement learning for public health, and small-data optimization strategies. Gupta serves as an associate editor for Management Science , MSOM , and Operations Research , and leads the USC Summer Scholars Program in Operations Management and Data Science. Key achievements include deploying the Eva system in Greece for targeted COVID-19 testing, which used reinforcement learning to optimize testing allocations. His work bridges theoretical optimization with practical applications, emphasizing interpretable analytics for societal impact. He teaches courses on AI ethics, stochastic foundations of decision-making, and research methodologies.

Burak Gökgürمشاهده پروفایل

استادیار

• Operations Management
• Pricing Strategies
• Production Systems Optimization
• +۵ مورد دیگر

Burak Gökgür is an Assistant Professor of Operations Management at the Business School of Sabancı University, located in Tuzla, İstanbul, Turkey. His research focuses on operations management, pricing strategies, production systems optimization, scheduling algorithms, constraint programming, and heuristic approaches. He holds a Ph.D. and has published extensively in journals like OR Spectrum, International Journal of Production Research, and European Journal of Operational Research. His work addresses complex operational challenges such as dynamic pricing mechanisms, inventory control in fluctuating environments, and optimization of manufacturing systems. Teaching includes courses like MGMT 201 (Introduction to Management) and OPIM 611 (Modeling in Operations Management). No scientific awards or grants are explicitly mentioned in the provided materials. He advises no listed students, and no lab affiliations are noted.

Raha Akhavanمشاهده پروفایل

استاد

• Stochastic Modeling
• Health and Humanitarian Logistics
• Medical Decision Making
• +۳ مورد دیگر

Raha Akhavan is a **Professor of Operations Management & Business Analytics** at the Sabanci School of Management, Sabanci University (Nov 2021–present). Previously, she served as Associate Professor at the same institution (2016–2021) and at Universidad de los Andes in Colombia (2014–2016), with earlier roles as an Assistant Professor (2009–2014) and a Senior Industrial Engineer at Intel Corporation (2006–2009). Education: Ph.D., Industrial and Systems Engineering, North Carolina State University (May 2011) M.Sc., Industrial and Systems Engineering (Operations Research co-major), North Carolina State University (August 2005) B.Sc., Industrial Engineering, Sharif University of Technology (December 2001) Research Interests : Stochastic modeling applied to health and humanitarian logistics, medical decision making, revenue management, vehicle routing problems, and manufacturing systems. Her work bridges theoretical operations research with practical applications in healthcare, disaster management, and environmental science. Publications : Over 30 peer-reviewed articles in top journals like Decision Analysis , Information Systems Research , and European Journal of Operational Research , focusing on dynamic policies for healthcare crises, disaster risk management, and optimization frameworks for logistics and infrastructure systems. Awards & Memberships : Member of INFORMS, IISE, IEEE, and ASQ. No specific awards listed, but her extensive publication record reflects recognition in her field. Grants & Labs : Active in collaborative projects involving disaster response, urban air quality modeling, and healthcare logistics. No specific grant details provided.

Pascal Van Hentenryckمشاهده پروفایل

استاد مدعو

• Optimization
• Artificial Intelligence
• Power Systems
• +۴ مورد دیگر

Pascal Van Hentenryck is an Adjunct Professor at the School of Computational Science and Engineering, Georgia Institute of Technology. His research focuses on integrating optimization techniques with artificial intelligence, particularly in power systems, transportation networks, and constraint programming. He leads projects on trustworthy optimization learning, grid reliability, and AI-driven solutions for public transit systems like MARTA REACH in Atlanta. Key areas include optimal power flow, machine learning proxies for large-scale optimization, and stochastic decision-making in renewable energy systems. Van Hentenryck's work spans academic and industrial collaborations, including the ARPA-E Grid Optimization Competition and the design of on-demand multimodal transit systems. He emphasizes practical applications of optimization algorithms in real-world scenarios such as supply chain management, rider behavior modeling, and fair policy design. His contributions to constraint programming education and MOOC development highlight his commitment to advancing computational methods in academia. Recent projects include developing frameworks for privacy-preserving convex optimization and analyzing the impact of equity considerations on adversarial vulnerability in AI systems. He explores topics like neural network verification, battery storage integration in grids, and scalable solutions for large-scale scheduling problems using column generation and reinforcement learning.

Albert Schrotenboerمشاهده پروفایل

استادیار

• Logistics and Supply Chain Optimization
• Operations Research
• Artificial Intelligence in Business
• +۳ مورد دیگر

Albert Schrotenboer is an Assistant Professor of Transport and Logistics at Eindhoven University of Technology . He holds a PhD in Operations Research from the University of Groningen (2020), with research focused on algorithmic solutions for emerging logistics challenges like renewable energy transition and omnichannel retail operations. His work integrates mathematical programming, AI, and domain expertise to address societal issues in transportation and supply chain management. Affiliations: EAISI Mobility, Operations Planning & Control group, and EIRES Research Visiting Scholarships: Georgia Tech & Loyola University Chicago Research interests include vehicle routing optimization , stochastic inventory systems , green hydrogen logistics , and AI-driven decision-making . Current teaching focuses on artificial intelligence for logistics , urban mobility innovation , and transport design principles . Recent articles (2023–2025) emphasize multi-stage stochastic programming for hydrogen networks, exact Benders decomposition in routing problems, and reinforcement learning applications in inventory systems. His work is published in top journals like Transportation Science and Operations Research . Active in industry collaboration through Optiflow Solutions , advising on supply chain optimization strategies. Supervises 10 PhD students focusing on cutting-edge logistics challenges including green hydrogen logistics, omnichannel fulfillment, and megacity delivery algorithms.

Matin Bagherpourمشاهده پروفایل

دانشیار

• Energy Systems
• Network Optimization
• Multicast Routing
• +۴ مورد دیگر

Matin Bagherpour is an Associate Professor in the Energy Systems department at the University of Oslo. His primary affiliation is with the Energy Systems Section, focusing on interdisciplinary research at the intersection of telecommunications, networking, and operations research. His work addresses challenges in network optimization, multicast systems, and remanufacturing logistics. He has collaborated extensively with researchers like Øivind Kure and contributed to projects such as DESSI (Distributed Energy System and Security Infrastructure). Research interests include energy systems modeling, network reliability, and algorithmic solutions for telecommunications. His 2010-2011 publications primarily address multicast protocols, remanufacturing systems, and mobile ad hoc networks, reflecting a technical focus on mathematical modeling and optimization. Key works include developing revenue maximization models for media streaming and enhancing data transmission reliability through multipath strategies. Despite no listed awards, his active publication record from 2010-2011 indicates sustained academic engagement. Current involvement in the DESSI project suggests ongoing work in energy infrastructure security and transactive energy systems.

Babak Abbasiمشاهده پروفایل

استاد

• Operations Research
• Business Analytics
• Decision Sciences
• +۵ مورد دیگر

Professor Babak Abbasi is a Deputy Dean, Research & Innovation at RMIT University's Department of Accounting, Info Sys & Supply Chain. His research focuses on quantitative modeling, decision-making under uncertainty, and applications in healthcare, supply chain, and disaster management. He holds a Professor academic rank and has collaborated with institutions like Yale University and industry partners such as Australian Red Cross Blood Life and KPMG. Research Interests: Intersection of machine learning and optimization, healthcare analytics, blood supply chain management, stochastic optimization, and disaster management. Notable software contributions include the SPSA-FSR package in R and the Empty Container Relocation Problem teaching tool. Awards: RMIT Research Impact Award (Enterprise) 2016 RMIT Award for Excellence – Industry Engagement in Graduate Research 2020 Endeavour Fellowship Award 2009 Media Engagements: Published in The Conversation and Australian Forests and Timber , with works viewed over 95k times. Advising and Grants: Supervised over 20 research projects, including optimization in public healthcare, blood supply chains, and disaster response. Active in workforce development and industry partnerships. Labs/Teams: Member of the Centre for Information Discovery and Data Analytics and Global Transport and Logistics Research Group at RMIT.

Marco Serratoمشاهده پروفایل

استاد

• Higher Education Strategies
• Executive Education
• International Education
• +۹ مورد دیگر

Marco Serrato serves as Vice President of Arizona State University’s Learning Enterprise, overseeing lifelong learning initiatives across academic units. He is also a Professor of Global Strategy and Business Analytics at Thunderbird School of Global Management and has held adjunct roles at PhD, master’s, and undergraduate levels. His career includes leadership positions at The University of Chicago and Tecnológico de Monterrey, alongside a visiting scholar role at MIT. Education: Marco holds a double PhD in Industrial Engineering (Operations Research from Iowa State University and Operations Management from Tecnológico de Monterrey), an M.Sc. in Quality & Productivity Systems, and a B.Sc. in Industrial & Systems Engineering, all from Tecnológico de Monterrey. Research Interests: Serrato’s work focuses on global education strategies, AI-driven learning analytics, big data applications in business, and humanitarian logistics. He explores how technology bridges gaps in talent development and optimizes supply chains in crisis scenarios. His research also examines cultural tourism and sustainable economic growth in Latin America. Publications Trends: His articles span logistics optimization, risk assessment in hazardous supply chains, and the integration of AI in education. Recent work highlights data-driven approaches to global talent development and the strategic use of big data in business decision-making. Awards: No notable scientific awards explicitly listed in the text. Advising & Grants: While no formal advisees are mentioned, his roles in academic leadership and corporate boards reflect extensive mentorship. He co-founded two consultancies offering learning solutions in public and private sectors. Labs & Teams: Engaged with corporate and academic boards, including the American University in Cairo’s Executive Education Council. His start-ups focus on applying learning technologies to solve sector-specific challenges.

Andrew C Trappمشاهده پروفایل

استاد

• Operations Research
• Machine Learning
• Integer Optimization
• +۵ مورد دیگر

Andrew C. Trapp is a Full Professor of Operations and Industrial Engineering at Worcester Polytechnic Institute (WPI), with courtesy appointments in Mathematical Sciences, Data Science, and Computer Science. He holds a Ph.D. in Industrial Engineering from the University of Pittsburgh. His research focuses on applying optimization, machine learning, and data science to address societal challenges such as refugee resettlement, human trafficking prevention, and child welfare. His work is supported by NSF grants and private foundations. Education: PhD in Industrial Engineering, University of Pittsburgh (2011) Research Interests: Integer optimization, machine learning, refugee placement systems, human trafficking intervention, healthcare operations, and nonprofit resource sharing. Trapp leads the ARCHES initiative, developing tools like Annie ™ MOORE for refugee resettlement and SWAP for nonprofit resource exchange. His work has been featured in Operations Research , Production and Operations Management , and Nature -affiliated journals. He is a past president of the INFORMS Public Sector Operations Research section and has received accolades such as the Chief Data Officer Magazine’s Academic Data Leader (2021). His grants include NSF awards for refugee data collection (CMMI-2233377), nonprofit resource sharing (FW-HTF-2222713), and societal impact (CIVIC-PG-2431414). He advises students in PhD, MS, and undergraduate programs, emphasizing real-world impact and interdisciplinary collaboration.

Stefan Weltgeمشاهده پروفایل

استاد

• Combinatorial Optimization
• Integer Programming
• Polyhedral Combinatorics
• +۳ مورد دیگر

Prof. Dr. Stefan Weltge is a Professor of Discrete Mathematics at the Department of Mathematics, Technical University of Munich (TUM). He holds a PhD in Mathematics from Otto von Guericke University Magdeburg (2016) and was a postdoctoral researcher at ETH Zurich. His research focuses on combinatorial optimization, integer programming, and polyhedral combinatorics, with notable contributions to extension complexity and mixed-integer programming. He has received multiple teaching awards at TUM, including the TUM Supervisory Award (2022) and Best Lecturer recognitions in 2019 and 2021/22. His work has been published in leading journals such as the Journal of the ACM and Journal of Combinatorial Theory B. Prof. Weltge’s academic contributions include groundbreaking research on the complexity of mixed-integer programs, polyhedral representations, and combinatorial optimization problems. He has organized conferences like OR 2024 and the Cargese Workshops on Combinatorial Optimization, and serves on program committees for IPCO, MIP, and ISCO. His research is supported by DFG grants, including the Individual Grant (NextGen) and the AdONE PhD Program. He advises PhD students working on topics such as integer programming, algorithm design, and optimization theory. His publications span theoretical advancements in convex optimization, linear programming relaxations, and applications in logistics and operations research. Notable articles include work on bounded subdeterminants in integer programs and the complexity of stable set problems. His research bridges discrete mathematics with practical algorithmic solutions, influencing both theoretical and applied domains.

Philipp Zeiseمشاهده پروفایل

استاد

• ERP Systems
• SAP S/4HANA
• Business Process Optimization
• +۵ مورد دیگر

Prof. Dr. Philipp Zeise is a Professor of Business Information Technology at Reutlingen University's Faculty of Computer Science. He serves as Dean of Studies for the Bachelor of Science in Business Information Technology program. His research focuses on Robotic Process Automation and Machine Learning applications in logistics, complemented by expertise in SAP ERP systems and operations research. Education & Career: PhD in Business Administration from University of Siegen (2011-2015) Former SAP Consultant at Camelot Management Consultants AG (2015–2019) Software Developer & IT Consultant for SMEs (2014–2015) Teaching Focus: ERP Systems (SAP S/4HANA) SAP Fiori Application Development Database Systems Supply Chain & Production Management Research Contributions: His work bridges theoretical operations research with practical applications in logistics and manufacturing, including stochastic demand modeling and combinatorial auction pricing schemes. Lab Affiliations: Associated with Reutlingen University's operations research and logistics research groups.

Stefan Röhlمشاهده پروفایل

استاد

• Logistics
• Operations Research
• Mathematics
• +۴ مورد دیگر

Prof. Stefan Röhl is a Professor of Mathematics and Logistics at the Technical University of Bingen since August 2008. He holds a PhD in Operations Research from Humboldt University Berlin (2001) and has extensive experience in academia and research, including roles at the Zuse Institute Berlin and Vorarlberg University of Applied Sciences. He currently serves on the Senate of the Technical University of Bingen (since 2014) and previously chaired the Examination Board for several engineering programs (2012–2021). His research focuses on logistics, optimization, stochastic processes, and game theory. His notable publications address inventory management, vehicle scheduling, and stochastic dynamic models. Röhl teaches courses in mathematics, logistics, and operations research at both bachelor’s and master’s levels. He has collaborated on industry projects with partners like Vorarlberger Kraftwerke AG, BASF AG, and Deutsche Telekom AG, focusing on optimization of logistics, production processes, and energy management.