Find Academic Supervisors

Mirko KremerView profile

Professor

• Supply Chain Management
• Behavioral Operations Management
• Inventory Management
• +6 more

Prof. Dr. Mirko Kremer is a Professor of Supply Chain Management at the Frankfurt School of Finance & Management since July 2014. Prior to this, he was an Assistant Professor at Pennsylvania State University (2008-2014) and held visiting roles at London Business School, Kellogg School of Management, and INSEAD. He earned a Ph.D. in Business Administration from the University of Mannheim (2008), with prior studies in Business Administration at Mannheim (1999-2003) and Economics at Ruhr-Universität Bochum (1997-1999). Research Focus: Micro-behavioral foundations of supply chains, inventory management, sales forecasting, and service systems. Editorial Roles: Department Editor for Production and Operations Management , Associate Editor for Operations Research . Teaching: Courses in Operations Management, Supply Chain Strategy, and quantitative decision modeling at Frankfurt School, INSEAD, London Business School, and Kellogg School of Management. Research Trends: His work bridges behavioral economics with supply chain operations, emphasizing how human decision-making (e.g., managerial biases, consumer behavior) impacts inventory systems, pricing strategies, and forecasting accuracy. Recent articles focus on diagnostic errors under congestion, strategic sourcing biases, and dynamic pricing experiments.

JIN ChenView profile

Associate Professor

• Digital Transformation
• Platforms & Innovation
• FinTech
• +3 more

**Dr. JIN Chen** is an **Associate Professor** in the **Department of Information Systems and Analytics** at the **National University of Singapore (NUS) School of Computing**. He holds a PhD in Industrial Engineering and Management Science from Northwestern University (U.S.) and joined NUS in 2018 after postdoctoral work at the Wharton School, University of Pennsylvania. His research focuses on **online platforms**, **information systems operations**, and **digital transformation**, with a particular interest in addressing challenges like fake information dissemination and platform competition. His work bridges **operations management** and **information systems**, emphasizing practical applications in e-commerce and fintech. **Education**: B.Sc. (Shanghai Jiao Tong University) M.Sc. & Ph.D. (Northwestern University, U.S.) **Research Interests**: Platform design and competition Information bundling and pricing strategies Consumer search behavior Right-to-repair policies and environmental impacts **Awards & Recognition** (selected): Finalist, MSOM Service Management SIG Best Paper Award (2024) Nomination for NUS Young Researcher Award (2022–2024) Winner, INFORMS ENRE Young Researcher Prize (2022) Teaching Excellence Awards (2021–2023) **Key Projects**: Optimal information structure design to combat fake orders/reviews Environmental and welfare implications of right-to-repair laws Strategic bundling and pricing in multi-service platforms

Neil OlverView profile

Associate Professor

• Combinatorial Optimization
• Network Design
• Game Theory
• +4 more

Neil Olver is an Associate Professor in the Department of Mathematics at the London School of Economics and Political Science (LSE), where he has held his current position since 2021. He is also affiliated with CWI in Amsterdam. His research focuses on combinatorial optimization, network design, algorithmic game theory, and probability, with applications to traffic networks and robust optimization. Olver has organized major events such as the Highlights of Algorithms conference and the Hausdorff Trimester Program on Discrete Optimization. He completed his PhD in Applied Mathematics at McGill University (2010), preceded by an MSc (2006) and BSc (2004) from the University of Cape Town and McGill University. His academic career includes roles at Vrije Universiteit Amsterdam (2013–2021) and MIT (2010–2013). Olver has been awarded grants from NWO (VIDI, TOP, VENI) and the NSF, supporting research on network optimization and robust design. His notable contributions include resolving the VPN Conjecture, advancing strongly polynomial algorithms for generalized flows, and analyzing dynamic traffic equilibria. Students advised include Dr. Dario Frascara and Dr. Madelon de Kemp. Current grants include a VIDI-funded project on 'Usable Algorithms for Network Design.'

J. Lotus SeeleyView profile

Associate Professor

• Gender, Work, and Organizations
• Feminist and Sociological Theory
• Economic Sociology
• +4 more

J. Lotus Seeley is an Associate Professor of Sociology and Graduate Program Director at Florida Atlantic University (FAU). Her academic work bridges feminist theory, economic sociology, and microsociology, with a focus on gender and organizational dynamics. Education: MA in Women’s Studies (2007) from The Ohio State University PhD in Women’s Studies and Sociology (2016) from the University of Michigan Dr. Seeley’s research examines how gender is socially constructed and organizationally structured, particularly through mundane interactions. Key areas include the reproduction of gender and social status in workplaces, slut-shaming stigma, and IT support dynamics in universities. She currently investigates women’s experiences in the gig economy and work-life balance for mothers. Her recent publications analyze hegemonic femininities, organizational queuing, help-seeking in IT, and gender performativity in male-dominated roles. These works draw on feminist theories, symbolic interactionism, and ethnomethodology. Scientific Awards: 2020 Distinguished Article Award from the American Sociological Association Sex & Gender Section for 'Hegemonic Femininities and Intersectional Domination' Dr. Seeley teaches sociological theory, qualitative methods, gender studies, and microsociology. Her pedagogical mission emphasizes connecting macro-level social forces to students' personal experiences, challenging individualistic narratives through sociological frameworks.

• Operations Management
• Healthcare Operations
• Queueing Theory
• +3 more

Mustafa Akan is an Associate Professor of Operations Management at the Tepper School of Business, Carnegie Mellon University . He holds a Ph.D. in Managerial Economics and Strategy from Northwestern University (2008) and a B.Sc. in Industrial Engineering from Carnegie Mellon University (2004). Research Interests : His work focuses on healthcare operations management , queueing theory , and dynamic pricing strategies . He investigates efficient resource allocation in service systems, equity in organ transplantation, and optimization of remanufacturing processes under uncertainty. His research bridges applied mathematics , computation theory , and business strategy . Article Trends : Recent publications address liver allocation equity (2025), two-sided market pricing (2025), and task allocation in tandem queueing systems (2024). Earlier works explore transplant health disparities (2024), remanufacturing procurement (2023), and fashion product pricing (2021). Common themes include service science , healthcare operations , and policy-driven optimization . Scientific Awards : Best Dissertation Award (INFORMS Aviation Applications Section, 2008) Xerox Faculty Chair (2009) INFORMS Best Paper in Service Science (2009) POMS Healthcare Best Paper Award (2012) Lave-Weil Prize (2013) Gerald L. Thompson Teaching Award (2014) NSF CAREER Award (2014) Mehrotra Research Excellence Award (2024) DEIJ Best Paper Award (2023) Teaching & Grants : He teaches courses like Healthcare Operations , Risk Analytics , and Demand Management & Price Optimization . His NSF CAREER Award (2014) supports research in operational systems. He has served on committees for INFORMS , POMS , and Naval Research Logistics .

Philipp AfecheView profile

Professor

• Operations Management
• Revenue Management
• Supply Chain Management
• +5 more

Philipp Afeche is a Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto. His research bridges operations and marketing/economics, focusing on revenue management, pricing strategies, and service design in congestion-prone systems like healthcare and transportation. He holds a BA from the University of St. Gallen and MS/PhD degrees from Stanford University. Afeche has been recognized with the 2014 Best Paper Award (MSOM) and the 2018 Roger Martin Teaching Award. Education: BA, University of St. Gallen, Switzerland MS, Stanford University, USA PhD, Stanford University, USA Research Interests: Afeche explores optimization challenges in dynamic service systems, including pricing under uncertainty, strategic customer behavior in queues, and platform design for shared mobility systems. His work integrates queueing theory, game theory, and empirical analysis to address real-world operational inefficiencies in healthcare delivery and transportation networks. Recent studies focus on ride-hailing market mechanisms and bipartite matching systems. Awards: 2014 Best Paper Award, Manufacturing & Service Operations Management 2018 Roger Martin Award for Excellence in Teaching Grants & Editorial Roles: Editor for Management Science and Operations Research, with funding reviews for agencies in Canada, Hong Kong, Israel, and the US. Past chair of the Service Management SIG for MSOM Society. Labs/Teams: Active in Rotman's Operations Management group and collaborates with industry partners on supply chain optimization and revenue management projects.

Parv VenkitasubramaniamView profile

Professor

• Network Security
• Cybersecurity
• Privacy in Networks
• +7 more

Parv Venkitasubramaniam is a Professor in the Department of Electrical & Computer Engineering at Lehigh University, affiliated with the P.C. Rossin College of Engineering. Previously, he served as a postdoctoral researcher at UC Berkeley under Prof. Venkat Anantharam. His research focuses on theoretical foundations of privacy and security in networks, leveraging statistical signal processing, information theory, and game theory. Key application areas include smart grids, transportation systems, and peer production networks. Education includes a Ph.D. and M.S. in Electrical Engineering from Cornell University, and a B.Tech from the Indian Institute of Technology. His doctoral work concentrated on wireless sensor networks, particularly distributed communication and statistical inference. Research interests span privacy-utility tradeoffs, cybersecurity in control systems, and resilient network design. He explores topics like stealthy attacks on dynamical systems, privacy-aware stochastic games, and resilient energy storage systems. Recent work emphasizes transportation system resilience and cyber-physical system security. His publications address cutting-edge challenges in anonymizing networks, detecting cyber attacks, and optimizing privacy-preserving mechanisms. Notable projects include NSF-funded research on anonymous networking and information-theoretic security frameworks.

Krishna JagannathanView profile

Professor

• Stochastic modeling
• Communication networks
• Information theory
• +3 more

Krishna Jagannathan is a full-time Professor in the Department of Electrical Engineering at the Indian Institute of Technology Madras (IIT Madras), India. He specializes in stochastic modeling, communication networks, information theory, and queuing theory. He obtained his B.Tech from IIT Madras in 2004, followed by S.M. and Ph.D. degrees from MIT in 2006 and 2010, respectively. After post-doctoral positions at Caltech and MIT, he joined IIT Madras in 2011. Education: B.Tech in Electrical Engineering, IIT Madras (2004) S.M. in Electrical Engineering and Computer Science, MIT (2006) Ph.D. in Electrical Engineering and Computer Science, MIT (2010) Research Interests: His research focuses on stochastic modeling and analysis of communication networks , information theory , and queuing theory . He has made significant contributions to understanding network performance, resource allocation, and risk-aware decision-making in complex systems. He leads the Networks and Stochastic Systems lab at IIT Madras, mentoring a large cohort of Ph.D. and M.S. students working on cutting-edge problems in networking, optimization, and stochastic systems. Scientific Awards: Best Paper Award at WiOpt 2013, Tsukuba, Japan Young Faculty Recognition Award for Excellence in Teaching and Research, IIT Madras (2014) Teaching & Mentorship: He has taught a wide range of courses including Probability Foundations , Stochastic Modeling and Queuing Theory , Convex Optimization , and Signals & Systems , consistently receiving high teaching evaluations. He has supervised over 15 Ph.D. and M.S. students to completion and continues to guide several active researchers.

• Pricing and Distribution Systems
• Integrated Risk Management
• Game Theoretic Models
• +3 more

WEE Kwan Eng is a Senior Lecturer of Operations Management at the Lee Kong Chian School of Business, Singapore Management University (SMU), since 2012. He holds a Ph.D. in Operations Management from Purdue University (2000), an M.S. in Management from NUS (1995), and a B.S. in Mathematics (with Honors) from NUS (1993). His research focuses on pricing strategies, supply chain risk management, game-theoretic models, and queuing systems. He has received multiple teaching honors, including the Dean’s Teaching Honor List (2005–2011). His work spans theoretical and applied operations research, with notable contributions to inventory coordination in retail networks, newsvendor model extensions, and queuing-based manufacturing systems. He has published in top journals like Operations Research Letters and IIE Transactions. Awards: Frederick N. Andrews Fellowship (1995-1997), Dissertation Fellowship (1998-1999) Research Themes: Strategic inventory policies, supply chain coordination, and optimization under uncertainty

Jan A. Van MieghemView profile

Academic

• Operations Management
• Supply Chain Operations
• Operations Strategy
• +11 more

Jan A. Van Mieghem is the A. C. Buehler Professor and Professor of Operations at the Kellogg School of Management, Northwestern University. He also serves as a Professor by Courtesy at the McCormick School of Engineering and Applied Science. His research spans product, service, and supply chain operations, combining strategic and tactical perspectives with mathematical modeling, stochastic analysis, and empirical verification. Ph.D. in Business, Graduate School of Business, Stanford University (1995) MS in Electrical Engineering, Stanford University (1990) MS in Applied Sciences, KU Leuven, Belgium (1989) His research interests focus on operations strategy, supply chain optimization, and digital operations. He explores topics such as operational hedging, capacity investment, network flexibility, and the application of AI in inventory management. His work addresses healthcare operations, dual sourcing, and the interplay between collaboration and productivity in service networks. Recent research trends center on AI-driven inventory systems, dual sourcing under uncertainty, and healthcare resource allocation. He has authored over 60 academic articles and two textbooks: Operations Strategy: Principles and Practice and Managing Business Process Flows: Principles of Operations Management . 2023: First place in POMS College of Supply Chain Management Student Paper Competition 2020: Flexibility Excellence Award 2014: Wickham Skinner Award 2007: First MSOM Best Paper Award Van Mieghem has held leadership roles at Kellogg, including Deputy Dean (2023–present), Faculty Director of the Executive MBA program (2012–2017), and Chairman of the Department of Managerial Economics and Decision Sciences (2006–2009). He advises firms on operations strategy and management and has served on editorial boards of Management Science , Manufacturing & Service Operations Management , and Operations Research . He has mentored numerous Ph.D. students, including Audrey Bazerghi, Simrita Singh, Yangzi Jiang, and Dennis J. Zhang, who have secured academic and industry positions. His teaching spans operations management and strategy across MBA, Ph.D., and executive programs. Van Mieghem's work examines the intersection of operations strategy and execution, emphasizing financial value as a guiding metric. His empirical studies leverage real-world data from healthcare, manufacturing, and e-commerce to validate theoretical models and develop practical frameworks.

Keith W. RossView profile

Professor

• Artificial Intelligence
• Deep Reinforcement Learning
• Deep Learning
• +9 more

Keith W. Ross is a Professor of Computer Science at NYU Abu Dhabi, with affiliated appointments at NYU Tandon School of Engineering, Courant Institute of Mathematical Sciences, NYU Center for Data Science, and NYU Shanghai. He joined NYU Abu Dhabi in September 2023 after serving as Dean of Computer Science, Data Science, and Engineering at NYU Shanghai from 2013 to 2023. His educational background includes a BS from Tufts University, an MS from Columbia University, and a PhD in Computer and Control Engineering from the University of Michigan. BS, Tufts University MS, Columbia University PhD, University of Michigan Professor Ross's research focuses on artificial intelligence, particularly deep reinforcement learning, deep learning, and reasoning in large language models. He has also made significant contributions to Internet privacy, peer-to-peer networking, network measurement, stochastic modeling, queuing theory, and Markov decision processes. His teaching includes courses in Machine Learning and Reinforcement Learning. Although no recent articles are listed in the provided text, his research trajectory emphasizes modern AI, foundational models, and network systems, reflecting a strong interdisciplinary approach bridging theoretical computer science with real-world applications. His scientific honors include: ACM Fellow IEEE Fellow Multiple best paper awards Professor Ross has held leadership roles in academia and industry. He was the Leonard J. Shustek Professor at NYU Tandon (2003–2013), professor at the University of Pennsylvania (1985–1998), and professor at Eurecom Institute (1998–2003). He co-founded Wimba in 1999, serving as CEO and CTO, a company focused on voice and video applications for online learning, later acquired by Blackboard in 2010. He has received media attention for his work in privacy, featured in The New York Times, NPR, Bloomberg Television, and others. He is affiliated with multiple research centers, including the NYU Center for Data Science and the Center for Data Science and Artificial Intelligence at NYU Shanghai. His global academic presence across NYU’s campuses underscores his role in shaping international computer science education and research.

Yuan ZhongView profile

Associate Professor

• Applied Probability
• Stochastic Systems
• Operations Management
• +7 more

Yuan Zhong is an Associate Professor of Operations Management at the University of Chicago Booth School of Business . He previously held positions as an Assistant Professor at Columbia University’s Department of Industrial Engineering and Operations Research and was a Postdoctoral Scholar at UC Berkeley’s Computer Science Department. Education: PhD in Operations Research, MIT (2012) MA in Mathematics, Caltech (2008) BA in Mathematics, University of Cambridge (2006) His research focuses on applied probability and stochastic system design , with applications in cloud computing , supply chain management , and e-commerce logistics . Recent work explores multi-period production systems and dynamic resource allocation in data centers and healthcare operations . Recent publications analyze cloud value chains , sparse graph design for delivery networks, and process flexibility in manufacturing. He has contributed to journals like Operations Research , Annals of Applied Probability , and Stochastic Systems . Scientific Awards: 2012 Kenneth C. Sevcik Outstanding Student Paper Award Best Student Paper Award at ACM Sigmetrics (2012) He teaches courses in business process fundamentals and queueing theory , with a future schedule including Operations Management: Business Process Fundamentals (2025–2026). No explicit student advising list was provided.

Saiedeh RazaviView profile

Associate Professor

• Smart Infrastructure
• Intelligent Transportation Systems
• Construction Management Automation
• +5 more

Dr. Saiedeh Razavi is an Associate Professor and the inaugural Chair in Heavy Construction at McMaster University's Department of Civil Engineering, directing the McMaster Institute for Transportation and Logistics (MITL). She holds a multidisciplinary background with degrees in Computer Engineering (B.Sc., Sharif University), Artificial Intelligence (M.Sc., Iran), and Civil Engineering (Ph.D., Waterloo). Her research focuses on smart infrastructure, connected mobility, and construction safety, funded by NSERC and the Ontario Ministry of Transportation. Key areas include transforming construction management through AI, autonomous vehicles, and smart work zones. Education: B.Sc. (Sharif), M.Sc. (Iran), Ph.D. (Waterloo) Research Interests: Smart cities, connected vehicle systems, data fusion, risk analysis, and sustainable logistics Leadership Roles: Director of MITL, Associate Chair (Research), and lead of national/international multidisciplinary projects Her work bridges academia, government, and industry to enhance mobility and safety. Notable grants include NSERC funding for transformative transportation systems. Awards include teaching excellence and innovation in team-based projects. Grants & Projects: NSERC, Ontario Ministry of Transportation, and industry collaborations Labs/Teams: MITL, CPS-based construction safety initiatives, and autonomous vehicle research groups

René M.B.M. de KosterView profile

Professor

• Logistics
• Operations Management
• Warehousing
• +7 more

René M.B.M. de Koster is a Full Professor of Logistics and Operations Management at the Rotterdam School of Management (RSM), Erasmus University, where he has been a faculty member since 1995. He holds a PhD from Eindhoven University of Technology (1988) and is a leading expert in warehousing, material handling, and sustainable logistics. PhD, Eindhoven University of Technology, 1988 Professor, RSM, Erasmus University, 1995–present Honorary Francqui Chair, Hasselt University, 2018 His research focuses on warehousing systems , robotics in logistics , container terminals , and behavioural operations . He integrates operations research with real-world logistics challenges, emphasizing sustainability and automation. His work contributes to UN Sustainable Development Goals related to responsible consumption and industry innovation. The most recent publications highlight a strong trend toward autonomous systems and AI-driven logistics , particularly in robotic fulfillment, dynamic routing, and human-robot collaboration. These works reflect interdisciplinary engagement with computer science, industrial engineering, and behavioural science. Notable scientific awards include: IISE Annual Conference Best Student Paper Award (2024) Transportation Science Paper of the Year (2023) EJOR Best Paper Award (2023) Best European Journal of Operational Research Review Paper (2022) Best Paper Finalist at major logistics conferences Professor de Koster has supervised over 30 students and is actively involved in editorial service for top journals such as Transportation Science , Production and Operations Management , and International Journal of Production Research . He is chairman of Stichting Logistica and founder of the Material Handling Forum, contributing significantly to both academic and industry advancement in logistics. He leads research in advanced logistics labs focusing on robotic sorting, mobile fulfillment, and sustainable supply chains, often in collaboration with European institutions and industry partners.

François BaccelliView profile

Visiting Professor

• Applied Probability
• Stochastic Geometry
• Wireless Networks
• +4 more

François Baccelli is a Research Director at INRIA Paris and Visiting Professor at Télécom Paris, leading the ERC Advanced Grant NEMO project on network mathematics. He holds a Doctor Honoris Causa from Heriot-Watt University and is a Member of the French Academy of Sciences. His career spans key roles including head of the Simons Center on Communication, Information and Network Mathematics (2012–2019), and faculty positions at École Polytechnique (1991–2003) and the University of Texas at Austin (2012–2021) as Simons Math+ECE Chair. Education: PhD in Applied Mathematics from Université Paris-Sud (1983), advised by Erol Gelenbe. Graduate of Télécom Paris (1977). Research Interests: Baccelli’s work bridges applied probability, stochastic geometry, and network dynamics with applications to telecommunications. He pioneered spatial stochastic networks, stochastic geometry modeling of wireless systems, and max-plus algebra for discrete-event systems. His contributions include foundational theories on queuing networks, Palm probabilities, and latency-constrained system design. Awards & Recognition: 2024 Blackwell Prize (INFORMS Applied Probability Society). 2014 ACM Sigmetrics Achievement Award. 2014 IEEE Stephen O. Rice and Leonard G. Abraham Prizes. Collaborations: Co-founder of the LINCS joint laboratory (INRIA/IMT/Nokia Bell Labs/Sorbonne/SystemX), fostering interdisciplinary research in communications and networks. Supervised numerous graduate students who now lead academic and industrial research globally. Labs & Teams: LINCS laboratory and ERC NEMO project, focused on network mathematics and large-scale system dynamics.