جستجوی استاد راهنمای دانشگاهی

Daniel Cooneyمشاهده پروفایل

استادیار

• Mathematical Biology
• Applied Dynamical Systems
• Differential Equations
• +۴ مورد دیگر

Daniel Cooney is an Assistant Professor in the Department of Mathematics at the University of Illinois Urbana-Champaign. He holds additional affiliations as an Affiliate at the Carl R. Woese Institute for Genomic Biology. His research focuses on applying partial differential equations (PDEs), dynamical systems, and stochastic processes to study evolutionary dynamics, particularly in biological and social systems. Key themes include multilevel selection, evolutionary game theory, and the emergence of cooperative behavior. Cooney earned his PhD in Applied and Computational Mathematics from Princeton University, advised by Simon Levin, and completed a postdoc as a Simons Fellow in Mathematical Biology at the University of Pennsylvania. His work bridges theoretical mathematics with applications in ecology, epidemiology, and social sciences. Recent publications explore topics like altruistic punishment in cultural systems, classroom-turnover dynamics, and protocell evolution. He actively participates in academic outreach, co-organizing conferences such as the AMS Special Session on Mathematics of Infectious Disease and the SIAM Minisymposium on Social-Ecological Systems. His research has been published in high-impact journals including *Proceedings of the National Academy of Sciences* and *Bulletin of Mathematical Biology*.

Joel Gohمشاهده پروفایل

دانشیار

• Health services and systems
• Transportation, logistics and supply chains
• Operations research
• +۶ مورد دیگر

Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .

Alp Atakanمشاهده پروفایل

استاد

• Microeconomic Theory
• Game Theory
• Information Economics
• +۳ مورد دیگر

Alp Atakan Overview Alp Atakan is a Professor and Head of School in the School of Economics and Finance at Queen Mary University of London. He holds a PhD from Columbia University and previously served as an Assistant Professor at Northwestern University and Associate Professor at Koç University. His research focuses on Microeconomic Theory, Game Theory, Auction Design, and Information Economics. Key contributions include studies on reputation dynamics, search markets, and information aggregation in auctions. Education PhD in Economics (with distinction), Columbia University, 2003 MA in Economics, Columbia University, 2000 MBA, Columbia University, 1997 BS in Economics, University of Pennsylvania, 1993 Research & Grants Recipient of an ERC Consolidator Grant (2016–2021) for 'Market Selection, Frictions, and the Information Content of Prices'. Notable research includes work on bargaining dynamics, price discovery mechanisms, and the role of information asymmetry in auctions. He has published in top journals like Econometrica , Journal of Economic Theory , and American Economic Review . Teaching spans MBA/EMBA courses on managerial economics and microeconomic theory, alongside advanced graduate courses in game theory and dynamic programming. Grants & Projects ERC Consolidator Grant: Market Selection & Price Information (€1,089,000) Tubitak Grants: Sequential Debate (2014–2015) and Auctions & Information (2012–2014) His work bridges theoretical economics with practical market design, emphasizing strategic interactions in decentralized systems.

Cong Shiمشاهده پروفایل

استاد

• Revenue Management
• Supply Chain Management
• Healthcare Operations
• +۶ مورد دیگر

Cong Shi, also known as Alex Shi, is a Professor of Management at the Miami Herbert Business School, University of Miami, since 2025. Previously, he served as Associate Professor at the University of Michigan (2019-2023) and Assistant Professor there (2012-2019). His academic journey began with a B.Sc. in Mathematics (First Class Honors) from the National University of Singapore (2007) and a Ph.D. in Operations Research from MIT (2012) under Professor Retsef Levi. Education : MIT (Ph.D.), NUS (B.Sc.) Current Role : Professor, Management, Miami Herbert Business School Prior Roles : Associate Professor (Tenured), University of Michigan; Assistant Professor, University of Michigan His research spans Revenue Management, Supply Chain Management, Healthcare Operations, Human-Robot Interaction, and Data-Driven Optimization. Recent publications focus on fairness-constrained inventory, sequential pricing, and trust-aware robotics. He has received prestigious awards including the Senior Research Award (2025) and Amazon Research Award (2021), alongside multiple INFORMS recognitions. The 15 most recent articles highlight advancements in inventory control with fairness constraints, sequential pricing algorithms, and trust propagation models in robotics. His work bridges theoretical rigor with practical applications in supply chains and human-robot collaboration. Scientific Awards : Senior Research Award, Miami Herbert Business School, 2025 Amazon Research Award, 2021 INFORMS Meritorious Service Awards (2018, 2019, 2021, 2023) IOE Graduate Course Professor of the Year, University of Michigan, 2019 He has advised 10 PhD students, many now in academia (e.g., UC Berkeley, Penn State) or tech roles (Meta, Amazon). Grants include NSF funding as PI and Co-PI.

• Inventory control
• Supply chain management
• Capacity planning
• +۱ مورد دیگر

Tim Huh is a Professor and Chair of the Operations and Logistics Division at the University of British Columbia's Faculty of Commerce and Business Administration. He specializes in inventory control, supply chain management, and operations research, with a focus on dynamic decision-making under uncertainty. B.A., B.Math, M.Math from University of Waterloo M.A. from Regent College M.S., Ph.D. from Cornell University His research spans theoretical and applied topics including renewable energy systems, healthcare operations, and digital learning analytics. Recent work explores wind power storage optimization, asynchronous video usage in education, and multi-echelon inventory solutions. Scientific recognition includes the Canada Research Chair in Operations Excellence and Business Analytics He teaches core business analytics and operations management courses at both undergraduate and graduate levels, emphasizing quantitative decision-making and process fundamentals.

Jan Eeckhoutمشاهده پروفایل

استاد پژوهش

• Macro-Labor Theory
• Labor Markets
• Urban Economics
• +۳ مورد دیگر

Jan Eeckhout is an ICREA Research Professor at Pompeu Fabra University (UPF) in Barcelona, specializing in macroeconomic theory, labor markets, and urban economics. His work focuses on market power dynamics, wage inequality, and technological impacts on labor and urban systems. He holds a PhD from the London School of Economics (LSE). Eeckhout has received a prestigious ERC Advanced Grant (€2.45M) for research on 'Macro Market Power and Distribution.' He authored the influential book The Profit Paradox (2021), exploring how dominant firms reshape labor markets and economies, translated into multiple languages. His research frequently appears in top journals like the Quarterly Journal of Economics and Review of Economic Studies. Research Interests: Macro-Labor Theory, Labor Markets, Urban Economics, Market Power, and Economic Inequality. Recent work examines technological origins of labor market stagnation, IT-driven urban polarization, and wealth effects on worker productivity. Advising and Grants: Supervises PhD students (e.g., Milena Djourelova, David Puig) and collaborates with institutions globally (CEMFI, EUI, Sciences Po). His team includes co-authors like Jan De Loecker and Philipp Kircher. Active in policy discussions via think tanks and media outlets like VoxEU and the NYT. Labs/Teams: Leads a diverse research group at UPF, with projects on market power, urban economics, and labor dynamics.

Selin A. Malkocمشاهده پروفایل

استاد

• Consumer Behavior
• Intertemporal Decision Making
• Time Perception
• +۳ مورد دیگر

Selin A. Malkoc is the FCOB Distinguished Professor and Professor of Marketing at The Ohio State University's Max M. Fisher College of Business. She also holds a courtesy appointment as Professor of Psychology. Her research focuses on consumer behavior, particularly intertemporal decision making and time perception. Dr. Malkoc received her Ph.D. in marketing from the University of North Carolina, Chapel Hill (2006) and a B.S. from Bilkent University (2000). Prior to joining Ohio State, she was faculty at the Carlson School of Business, University of Minnesota, and the Olin School of Business, Washington University in St. Louis. Her research examines how consumers make decisions with outcomes spread over time and how they perceive time. She investigates why consumers show impatience despite good intentions and proposes mechanisms to help consumers make better decisions. Her work also explores optimal time allocation between work and leisure to maximize happiness, with significant implications for consumer well-being. Dr. Malkoc's research has appeared in top journals including the Journal of Consumer Research, Journal of Marketing Research, and Psychological Science. Her work frequently appears in major media outlets such as the Wall Street Journal, New York Times, BBC, and TIME Magazine. Paul E. Green Award recipient William F. O'Dell Award recipient Citation of Excellence Award winner Associate Editor for International Journal of Research in Marketing Editorial Review Board member for Journal of Consumer Research She teaches undergraduate and graduate courses including BUSML 4998 (Undergraduate Research) and BUSML 8250 (Consumer Behavior). Her research on leisure perception, time management, and intertemporal choice has significantly advanced understanding of consumer decision-making processes.

George Cantwellمشاهده پروفایل

استادیار

• Network Science
• Complex Systems
• Statistical Inference
• +۴ مورد دیگر

Dr. George Cantwell is an Assistant Professor in the Department of Engineering at the University of Cambridge, affiliated with Cambridge Infectious Diseases. He specializes in computational methods for inference problems, particularly in disease spreading across networks. Education: PhD in Physics from the University of Michigan; postdoctoral fellowship at the Santa Fe Institute His research focuses on network science , complex systems , and statistical inference , with an emphasis on computational approaches. His work spans theoretical and applied domains, including: Message passing algorithms for heterogeneous networks Bias correction in social network analysis (friendship paradox) Statistical inference of network structure from noisy data Modeling judicial voting behavior through network interactions Computational cognitive neuroscience of category learning Recent publications highlight interdisciplinary applications in epidemiology, physics, and cognitive science. He actively mentors students in networks, complex systems, and statistical inference.

• Supply Chain Management
• Operations Management
• Revenue Management
• +۶ مورد دیگر

Prasenjit Mandal is an Associate Professor in the Department of Information Systems, Supply Chain Management, and Decision Support at NEOMA Business School (France). He holds a PhD in Decision Sciences and Information Systems from the Indian Institute of Management (IIM) Bangalore. Previously, he served as an Assistant Professor of Operations Management at IIM Calcutta and worked as an Oracle ERP consultant at Tata Consultancy Services. His research focuses on supply chain finance, revenue optimization, multi-channel retail strategies, and strategic decision-making in supply chains. He has published in top journals like European Journal of Operational Research and IEEE Transactions on Engineering Management. He currently serves as a reviewer for multiple academic journals. Education: PhD in Decision Science and Information Systems, IIM Bangalore, India Oracle ERP Techno-Functional Certification Research Interests: Revenue Management in Retail & E-commerce Supply Chain Finance & Platform Financing Multi-channel Distribution Strategies Empirical Modeling of Supply Chain Trade-offs Strategic Decision-Making under Competition Key Contributions: His recent work explores platform financing models, strategic supplier financing choices, and omnichannel retail challenges. His research integrates optimization models with real-world operational scenarios to address supply chain complexities. Professional Experience: Current: Associate Professor, NEOMA Business School 2016-2019: Assistant Professor, IIM Calcutta 2012-2015: Oracle ERP Consultant, Tata Consultancy Services

Retsef Leviمشاهده پروفایل

استاد

• Food Supply Chain Analytics
• Supply Chain Optimization
• Health Systems
• +۷ مورد دیگر

Retsef Levi is the J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management, affiliated with the MIT Operations Research Center. He co-directs the Leaders for Global Operations (LGO) Program. His work focuses on data-driven decision models for healthcare systems, supply chain optimization, and risk management. Levi holds a PhD in Operations Research from Cornell University and has led industry collaborations with major hospitals and organizations like the FDA and Walmart Foundation. Education: PhD in Operations Research, Cornell University, 2005 Bachelor’s in Mathematics, Tel-Aviv University, 2001 Research Interests: Levi’s research addresses complex decision-making under uncertainty in healthcare, supply chains, and logistics. Key areas include food safety analytics, risk-based sampling, and predictive modeling for zoonotic diseases. He designs algorithms for inventory control, appointment scheduling, and healthcare resource allocation. Articles Overview: Recent work spans AI-driven epidemiological models, supply chain cybersecurity, and agricultural market interventions. His articles emphasize practical applications of operations research in healthcare and public health. Awards: NSF Career Grant INFORMS Optimization Prize (2008) Wagner Prize (2013) Harold W. Kuhn Award (2016) Advising & Grants: Advised 10 PhD students and 34 master’s students. Led multi-million-dollar projects like the Walmart Foundation initiative for China’s food safety. Active in hospital process optimization and FDA risk management contracts. Labs & Teams: Runs MIT’s Food Supply Chain Analytics and Sensing Initiative, collaborating with global partners on predictive risk tools and healthcare analytics.

Marshall L. Fisherمشاهده پروفایل

استاد

• Retailing
• Supply Chain Management
• Dynamic Pricing
• +۳ مورد دیگر

Marshall L. Fisher is the UPS Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research focuses on retailing and supply chain management, with notable work in dynamic pricing, omnichannel operations, and workforce optimization. Academic Affiliation: Wharton School, University of Pennsylvania Research Themes: Retail innovation, supply chain responsiveness, labor economics Recent Trends: Real-time pricing algorithms, inventory-demand interactions, digital transformation Scientific Recognition: INFORMS Kimball Medal (2007) POMS Fellow (2005) INFORMS Fellow (2002) NAE Election (1994) Academic Contributions: Pioneering work on Lagrangian relaxation in integer programming (1981), Edelman Prize-winning liquid gas optimization, and groundbreaking research on retail staffing and training effectiveness. His teaching includes courses on global supply chain management and AI in business.

Zhe Liuمشاهده پروفایل

استادیار

• Revenue Management
• Supply Chain Management
• Sharing Economy Platforms
• +۳ مورد دیگر

Zhe Liu is an Assistant Professor in the Analytics & Operations group at Imperial College Business School, where he also serves as PhD Director. He holds a PhD in Operations Management from Columbia Business School and a BS in Industrial Engineering from Tsinghua University. His research focuses on revenue management and supply chain optimization, with specialized interests in sharing economy platforms and multi-sourcing strategies. Liu's work examines operational challenges in modern business environments through mathematical modeling, including queueing systems, pricing optimization, and risk management in volatile supply chains. His publications demonstrate consistent themes in platform operations, stochastic optimization, and behavioral interactions within multi-agent systems. Recognized with numerous honors, Liu received the 1st Place Service Science Best Cluster Paper Award (2024), 2nd Place CSAMSE Best Paper Award (2024), and was a finalist in the George Nicholson Student Paper Competition. He actively mentors PhD students and serves as judge for international paper competitions and conference program committees.

Tristan A.F. Longمشاهده پروفایل

دانشیار

• Evolutionary genetics
• Behavioral ecology
• Experimental evolution
• +۳ مورد دیگر

Dr. Tristan A.F. Long is an Associate Professor in the Department of Biology at Wilfrid Laurier University's Faculty of Science in Waterloo, Ontario. A behavioral ecologist and evolutionary geneticist, he focuses on sexual selection and the role of female mate preference variation in evolutionary change. With teaching responsibilities for large introductory biology courses like BI111 and BI393, he has developed innovative active learning techniques using playing cards, iClickers, and role-playing games to teach population genetics and ecological principles. University of Western Ontario - BSc in Honours Ecology and Evolution (1999) University of Guelph - MSc in Zoology (2001) Queen’s University - PhD in Biology (2005) University of California Santa Barbara - Postdoctoral Fellow (2005-2009) University of Toronto - Postdoctoral Fellow (2009-2010) His research examines how female Drosophila melanogaster vary in their mating preferences and how these differences shape evolutionary trajectories. He has published extensively on reproductive plasticity, sexual conflict, and environmental interaction effects. His laboratory combines experimental evolution with computational modeling to explore genetic trade-offs and behavioral adaptations. Scientific awards include the Laurier Teaching Award for Sustained Excellence (2017). He has developed innovative classroom techniques like the Battle of the Beaks exercise for teaching adaptive evolution and an iClicker-based population genetics simulation using playing cards. His 2024 BI393 biostatistics course policy strongly discourages generative AI use due to concerns about educational integrity and environmental impact.

Gustavo Vulcanoمشاهده پروفایل

استاد مدعو

• Revenue Management
• Pricing Analytics
• Retail Operations
• +۶ مورد دیگر

Gustavo Vulcano is an Adjunct Professor in the Department of Information, Operations and Management Sciences at the Leonard N. Stern School of Business, New York University, where he has been affiliated since 2002. He served as Assistant Professor (2002–2010), Associate Professor (2010–2017, tenured in 2012), and has held an adjunct role since 2017. His academic work bridges theoretical and applied operations management with strong industry engagement. Education: Ph.D. in Operations Management, Columbia University, 2003 M.Phil. in Operations Management, Columbia University, 2000 M.S. in Computer Science, University of Buenos Aires, 1997 B.S. in Computer Science, University of Buenos Aires, 1994 His research focuses on revenue and pricing analytics , retail operations , and supply chain management , particularly emphasizing customer choice modeling , data-driven optimization , and computational methods in network revenue management . He integrates stochastic modeling and behavioral insights to develop practical pricing and operational strategies. His work is deeply rooted in real-world applications across airlines, retail, and financial services. The analysis of his publications reveals a consistent trend in leveraging data-driven decision-making under uncertainty, with a focus on dynamic pricing, demand learning, and robust optimization. His articles span premier journals such as Operations Research and Management Science , reflecting a strong theoretical foundation combined with empirical and computational rigor. Key thematic areas include customer behavior modeling, network revenue management, and stochastic optimization for service industries. Scientific Awards and Leadership: Chair, INFORMS Revenue Management and Pricing Section (2016–2017) Associate Editor, Operations Research and Management Science Prof. Vulcano has advised numerous PhD and master’s students and has secured research grants through industry collaborations. His consulting projects with Delta Airlines, Sabre Holdings, Aerolíneas Argentinas, and ICBC demonstrate a strong commitment to translating academic research into practical solutions. He has taught core courses such as Operations Management , Pricing and Revenue Management , and Dynamic Programming across undergraduate, MBA, PhD, and MSBA programs, shaping future leaders in data-driven decision-making. He is actively involved in research labs and teams focused on operations analytics and pricing strategy , often collaborating with interdisciplinary groups at NYU Stern and industry partners. His ongoing editorial roles and consultancy reflect sustained engagement in advancing the field of revenue management and operations science.

Ashish Sinhaمشاهده پروفایل

استاد

• Marketing Strategy
• Business Analytics
• Digital Transformation
• +۵ مورد دیگر

Professor Ashish Sinha is a leading academic in Marketing at the UQ Business School, holding concurrent roles as Visiting Professor at the Indian School of Business and Research Fellow at the Hong Kong Polytechnic University. His career spans senior leadership in academia (e.g., Academic Dean of Executive Education at ISB, Interim Dean at UTS Business School) and industry (Vice President at IRI, Chicago). His research bridges theory and practice, focusing on digital transformation, AI-driven strategies, ESG impact analysis, and marketing analytics. He has pioneered frameworks for retail optimization, category management, and B2B innovation adoption, with over 30 journal articles in top-tier outlets like Journal of Marketing and Marketing Science . Research Impacts: Sinha’s work has transformed executive education programs (e.g., ISB’s #38-ranked custom programs) and driven research excellence at UTS. He is a serial entrepreneur, having founded two analytics firms acquired for their practical impact. His $240M Food Agility CRC participation highlights his role in agribusiness innovation. Awards include the Davidson Award and twice runner-up for the Gary Lilien Practice Award for applied marketing science. Key Research Themes: AI in Marketing, Digital Transformation, ESG Strategies, Consumer Sentiment Analysis Leadership Roles: Academic Dean (ISB), ADR (UTS), Head of Marketing (UNSW) Industry Experience: Analytics leadership at IRI, strategic consulting across sectors Grants/Partnerships: CI in Food Agility CRC ($240M), multiple ERA-recognized research collaborations. Advises on AI ethics, sustainable marketing, and global business strategy.