جست‌وجوی استاد و پژوهشگر

Brett Hollenbeckمشاهده پروفایل

دانشیار

• Empirical Industrial Organization
• Quantitative Marketing
• Antitrust Policy
• +۷ مورد دیگر

Brett Hollenbeck is an Associate Professor of Marketing at the Anderson School of Management, University of California, Los Angeles (UCLA). His research focuses on empirical industrial organization and quantitative marketing, with notable work on digital platform regulation, retail market dynamics, and consumer behavior analytics. Ph.D. in Economics from University of Texas at Austin M.S. and B.S. in Economics from University of Texas at Austin and George Washington University His research interests span online review manipulation , retail market structure , loyalty program optimization , and policy analysis in emerging markets like cannabis regulation. Recent work examines LLM adoption impacts on digital behavior and market dynamics. Key article trends include: E-Commerce fraud detection Platform trust mechanisms Market concentration effects Consumer preference modeling Scientific awards include the 2022 Marketing Science Service Award . His work appears in top journals like Management Science , Marketing Science , and PNAS , with press coverage in The Economist, New York Times, and Harvard Business Review.

Daniela Sabanمشاهده پروفایل

دانشیار

• Operations Management
• Market Design
• Procurement Mechanisms
• +۷ مورد دیگر

Daniela Saban is an Associate Professor of Operations, Information, and Technology at Stanford Graduate School of Business (GSB). She holds the Botha-Chan Faculty Scholar title for 2024–25 and has been recognized with multiple awards, including the MSOM Young Scholar Prize and the 2024 Revenue Management and Pricing Practice Award. Her research focuses on market design, procurement mechanisms, and online marketplace operations, with industry collaborations in government procurement and volunteer-matching platforms. Saban teaches core MBA courses like Optimization and Simulation Modeling and advanced PhD courses such as Engineering Online Markets . She is an associate editor for Management Science , Operations Research , and other top journals. Education: PhD in Operations Management (Columbia University, 2015); M.Sc. and B.Sc. in Computer Science (University of Buenos Aires, 2009 and 2006). Research Interests: Procurement mechanisms, supply chain management, market design, matching markets, auctions, game theory, and combinatorial optimization. Her work bridges operations research, economics, and computer science, with applications in government procurement, dating apps, and volunteer platforms. Awards: Winner of the 2024 Revenue Management & Pricing Practice Award, 2022 INFORMS Revenue Management Prize, and finalist for Stanford GSB’s Distinguished Teaching Award (2020–2022). Recognized for contributions to algorithmic fairness and operational efficiency in marketplaces. Professional Service: Program co-chair of EC ’24; reviewer for journals including Mathematics of Operations Research and Games and Economic Behavior . Prior experience includes a visiting scholar role at UC Berkeley’s Simons Institute.

Shaoning Hanمشاهده پروفایل

استادیار

• Mathematical Optimization
• Mixed-Integer Nonlinear Programming
• Nonsmooth Optimization
• +۳ مورد دیگر

Shaoning Han is a Presidential Young Professor (Assistant Professor) in the Department of Mathematics and the Institute of Operations Research and Analytics (IORA) at the National University of Singapore (NUS). He previously held a postdoctoral position at the University of Southern California (USC), working under Prof. Jong-Shi Pang. His research focuses on mathematical optimization, including mixed-integer nonlinear programming, nonsmooth optimization, and their applications in operations research and data science. Han earned his Ph.D. in Industrial Engineering from USC under Prof. Andrés Gómez and a B.S. in Mathematics from the University of Science and Technology of China (USTC). His work emphasizes advancing optimization methodologies, particularly for problems involving complementarity constraints, indicator variables, and sparsity. Recent contributions include progressive MIP methods for indefinite QPs, real-time solutions for banded matrix problems, and convexification techniques for nonconvex optimization. Han is actively recruiting PhD students interested in mathematical optimization. Research Highlights: His articles span theoretical advances (e.g., epi-stationarity analysis, parametric variational inequalities) and applied frameworks (e.g., robust SVMs, binarized neural networks). Key themes include polynomial-time solvability of MRFs, convex relaxations for low-rank functions, and sparse signal estimation. Awards: Third Place, INFORMS JFIG Paper Competition (2023) Journal of Global Optimization Best Paper Honorable Mention (2023) Teaching: Courses include MA5243 (Advanced Mathematical Programming) and MA3252 (Linear and Network Optimization). Labs/Teams: Active member of IORA, NUS’s Smart Nation Research Cluster.

Sylvia Hristakevaمشاهده پروفایل

استادیار

• Health Economics
• Consumer Behavior
• Market Competition
• +۳ مورد دیگر

Sylvia Hristakeva is an Assistant Professor of Economics at Cornell University, affiliated with both the College of Arts and Sciences and the Cornell SC Johnson College of Business. Her research focuses on health economics, consumer behavior, pharmaceutical markets, and retail economics. She explores topics such as drug pricing policies, advertising impacts on health outcomes, and the socioeconomic effects of grocery store closures. Her work bridges empirical methods with policy analysis, utilizing tools like text embeddings to assess food purchasing decisions and econometric models to evaluate legislative impacts. Recent studies include examining GLP-1 medication effects on consumer food choices and the consequences of price caps on pharmaceutical advertising. Dr. Hristakeva’s publications span interdisciplinary areas, combining insights from marketing, public health, and industrial organization. Her research emphasizes practical policy implications, such as optimizing retailer contracts and assessing smoke-free legislation’s role in reducing pediatric emergency visits.

Thomas Jungbauerمشاهده پروفایل

استادیار

• Labor Markets
• Industrial Organization
• Entrepreneurship
• +۳ مورد دیگر

Thomas Jungbauer is an Assistant Professor of Strategy & Business Economics at Cornell University's Johnson Graduate School of Management. He holds a PhD from Northwestern University's Kellogg School of Management and master's degrees in Managerial Economics and Economics from the Vienna Institute of Advanced Studies. His research focuses on strategic interactions in labor markets, industrial organization, and market design, particularly addressing how information asymmetries and institutional frameworks influence economic outcomes. He teaches core strategy modules in MBA programs and has published widely on topics such as referrals in expert markets, poaching dynamics, sponsored search platforms, and self-reported signaling mechanisms. Educationally, he earned his PhD in Managerial Economics & Strategy from Northwestern University (2016), with prior master's degrees from Northwestern and Vienna Institute of Advanced Studies. His research integrates applied microeconomics with strategic management, exploring themes like strategic delegation in recruiting, branding strategies under product confusion, and the welfare impacts of market mechanisms. His work spans theoretical and applied domains, including studies on resume padding in signaling games, espionage effects in innovation, and data-sharing dynamics in online advertising. He frequently presents at conferences such as IIOC and the NBER Summer Institute, contributing to both academic and practitioner discussions on strategic behavior in modern economies.

Wolfram Wiesemannمشاهده پروفایل

استاد

• Decision-making under uncertainty
• Supply chain management
• Healthcare optimization
• +۱ مورد دیگر

Wolfram Wiesemann is Professor of Analytics & Operations and Head of the Analytics, Marketing & Operations Department at Imperial College Business School. His research focuses on decision-making under uncertainty with applications in supply chain management, healthcare, and energy. Research Focus: Development of tractable approximation schemes for decision-making under uncertainty with rigorous error bounds. Applications span operations management, energy systems, and financial engineering. Teaching: BA1803 (Optimisation and Decision Models) and BA1806 (Introduction to Machine Learning) for MSc programs. Received Imperial College Business School Dean's Teaching Awards and nominations for Student Academic Choice Awards. Editorial Roles: Editor-in-Chief of Operations Research Letters and department co-editor for Management Science. Previously served on editorial boards of multiple leading journals. Research Impact: COVID-19 research on hospital care prioritization featured in Financial Times, Daily Mail, and France24.

• Artificial Intelligence
• Supply Chain Management
• Sustainability
• +۶ مورد دیگر

Evelyn Xiao-Yue Gong is an Assistant Professor at Carnegie Mellon University’s Tepper School of Business, where she holds the B P Junior Faculty Chair. Her research focuses on artificial intelligence for supply chain optimization and sustainability, with additional interests in assortment optimization, pure exploration, and data-driven decision-making. Education PhD in Operations Research, Massachusetts Institute of Technology (2023) BS in Honors Mathematics, New York University (2017) BS in Interactive Media Arts, New York University (2017) Research Interests Dr. Gong’s work integrates reinforcement learning, bandit algorithms, and AI to address sustainability challenges in supply chains. Her recent publications highlight applications in cloud server deployment, sustainable packaging, and inventory management under cyclic demands. Scientific Awards Best Dissertation Prize, Supply Chain Management in the Post-Pandemic and AI Age Conference (2023) Accenture Fellowship (2022-2023) Bayer Women in Operations Research Scholarship (2021) National Championship in Splendor (2024) Professional Services Dr. Gong serves as a reviewer for journals including Management Science and NeurIPS , and has held committee roles for INFORMS awards. She has chaired sessions at the INFORMS Annual Meeting multiple times.

Fanyin Zhengمشاهده پروفایل

استادیار

• Empirical Operations Management
• Business Analytics
• Applied Econometrics
• +۴ مورد دیگر

Fanyin Zheng is an Assistant Professor at Imperial College Business School, specializing in Management Science and Business Analytics. She previously held an Assistant Professor position at Columbia Business School. Her research focuses on empirical operations management, business analytics, and applied econometrics, with an emphasis on decision-making in complex service systems like healthcare operations and platform markets. She earned her PhD from Harvard University, Cambridge, United States. Her research explores how individuals and firms leverage data-driven strategies in dynamic environments, particularly in healthcare systems and two-sided platforms. She serves as an Associate Editor for Management Science and Manufacturing & Service Operations Management . Her work addresses challenges such as resource allocation in hospitals, congestion management in transportation networks, and optimal design of marketplaces. Key themes in her publications include healthcare resource optimization, customer preference modeling in transportation systems, and structural estimation of intertemporal externalities in ICU admissions. She actively contributes to advancing methodologies in causal inference and network analysis for complex operational systems.

Dennis Fokمشاهده پروفایل

استاد

• Applied Econometrics
• Marketing Modeling
• Bayesian Statistics
• +۳ مورد دیگر

D. (Dennis) Fok is a Professor of Econometrics and Data Science at the Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam. He has been affiliated with the institution since 1999 and serves as a Fellow at the Erasmus Research Institute of Management (ERIM). His research focuses on applied econometrics in marketing contexts, particularly: Modeling unobserved heterogeneity Nonlinear econometric models Bayesian statistical methods Consumer-level decision modeling High-dimensional choice modeling Dynamic marketing mix effects Dennis Fok's work combines econometric theory with practical marketing applications, developing efficient estimation techniques for complex consumer behavior models. His methodological contributions have been adopted in various business contexts including retail analytics and loyalty program optimization. ERIM Top Article Junior Award (2017) ERIM Top Article Award (2010) ERIM Award for Outstanding Performance by a Young Researcher (2006) ERIM Dissertation Award (2004) He has supervised numerous PhD candidates across diverse topics including: Marketing modeling for new products Econometric advances in diffusion models Heterogeneity in customer purchase behavior Brand portfolio management High-dimensional assortment modeling Response style modeling

• Supply Chain Management
• Retail Operations
• Operations Research
• +۵ مورد دیگر

Joline Uichanco is an Associate Professor of Technology and Operations at the Ross School of Business, University of Michigan, and Director of the Tauber Institute for Global Operations, funded by Ford Motors Co. She holds a Ph.D. in Operations Research from MIT (2013), alongside advanced degrees in Computation, Engineering, and Finance from MIT and the National University of Singapore. Her research focuses on optimizing resource allocation in dynamic environments, particularly in supply chain resilience during emergencies, retail operations in omni-channel contexts, and data-driven decision-making. Key areas include humanitarian logistics, maintenance scheduling under uncertainty, and retail pricing/inventory strategies. She collaborates with major retailers like Target and Best Buy to address challenges in inventory management and dynamic pricing. Her work emphasizes robust optimization and distribution-free models, addressing both for-profit and non-profit sectors. Recent publications explore workforce configuration in charities, surplus food redistribution, and multi-product pricing under uncertain demand. She also investigates volunteer management strategies to enhance long-term donor relationships. Dr. Uichanco is affiliated with the Center for Southeast Asian Studies (CSEAS) and actively contributes to interdisciplinary projects in global operations. Her research bridges theory and practice, offering actionable insights for organizations navigating complex operational challenges.

• Complex Network Analysis
• Infectious Disease Dynamics Modelling
• Vaccination Uptake Modelling
• +۵ مورد دیگر

Associate Professor Mahendra Piraveenan is affiliated with the School of Computer Science at The University of Sydney. He holds a B.Eng (Hons) from the University of Adelaide and a Ph.D from the University of Sydney's School of Information Technologies. His research focuses on complex network analysis, vaccination strategy modelling, infectious disease dynamics, and the application of network science to biological, social, and technical systems. His work emphasizes interdisciplinary collaboration, particularly in understanding how network structures influence systemic behavior. Notable research areas include optimizing vaccination programs to combat pandemics, modeling supply chain networks, and analyzing the robustness of complex systems. He has received the Lord Robert May Prize (2019-2020) for contributions to biological dynamics research. Piraveenan teaches courses on complex systems and supervises Higher Degree Research students. He collaborates internationally with institutions in India (National Institute of Epidemiology, Public Health Foundation of India, Shiv Nadar University) and Japan (Waseda University) on epidemic modeling and supply chain analysis. His research has been featured in outlets like Science Advances and IEEE Access. Key grants include a 2016 ARC Discovery Project on large-scale epidemic modeling. Media engagement includes discussions on herd immunity and pandemic response strategies.

Cornelia Schönمشاهده پروفایل

استاد

• Operations Research
• Service Operations Management
• Revenue Management
• +۳ مورد دیگر

Prof. Cornelia Schön serves as Professor and Chair of Service Operations Management at the University of Mannheim Business School, where she also directs the Mannheim Executive MBA Program. Her expertise bridges operations research with practical business applications, focusing on data-driven decision support for complex service environments. Her academic foundation includes: Ph.D. and Habilitation from Karlsruhe Institute of Technology (KIT) Diploma in Industrial Engineering MBA from UMass Boston Schön's research centers on quantitative methods for service operations management, with emphasis on revenue management (dynamic pricing, assortment optimization), service design (simultaneous product-process development), and sustainable operations (green product design, servicizing). She integrates operations research with cross-functional value creation, addressing real-world challenges in retail, transportation, and financial services through data-driven modeling. Recent publications reveal consistent focus on machine learning-enhanced assortment optimization, airline/railway scheduling under uncertainty, and sustainability integration in product design. Her work demonstrates strong industry applicability, particularly in transportation logistics and consumer-facing service sectors, with growing emphasis on ESG factors in operational decision-making. No scientific awards for Prof. Schön were documented in the source materials. Schön actively supervises doctoral researchers including Fabian Strohm (service process design), Marius Krömer (airline crew scheduling), Niloufar Sadeghi (assortment optimization), and Oliver Vetter (product pricing), while mentoring master's students like award-winning Jan-Hendrik Büscher (ESG in bank risk management). Her research receives industry collaboration funding and addresses practical implementation through application-driven projects. The Chair maintains an active research ecosystem with dedicated research assistants and administrative support, facilitating collaborative projects that translate theoretical models into operational solutions for partner organizations.

• Multi-objective Stochastic Optimization
• Supply Chain Management
• Operations Research
• +۵ مورد دیگر

BEN ABDELAZIZ Fouad is a Distinguished Professor at NEOMA BS, France, and Head of the M.Sc. in Artificial Intelligence for Business. He holds a PhD in Operations and Decision Systems from Laval University, Canada, and was a Senior Fulbright Scholar at Rutgers University. His research focuses on multi-objective stochastic optimization, supply chain management, and decision support systems, with notable contributions to portfolio selection, metaheuristics, and resilient supply chains. He has served as Guest Editor for leading journals like Annals of Operations Research and has consulted for industries including chemical and logistics sectors. Education: PhD in Operations and Decision Systems, Laval University, Canada HDR (Authorization to Supervise Research), Management, Quantitative Methods Research Interests: Multi-objective stochastic optimization Supply chain resilience and optimization Artificial Intelligence applications in business Portfolio selection models Metaheuristic algorithms Recent Contributions: His recent work addresses cutting-edge topics such as many-objective optimization algorithms (e.g., MGDE), coalition formation in supply chains, and AI-driven decision tools for perishable food management. Articles in top journals like Annals of Operations Research and European Journal of Operational Research highlight his focus on balancing theoretical rigor with practical industry applications. Grants & Awards: Senior Fulbright Scholar (Rutgers Center for Operations Research) Accessed for Dubai Business Award Labs & Teams: He leads key academic programs at NEOMA BS, including the Doctoral School and MSc in Supply Chain Management, fostering interdisciplinary research collaboration.

Justin Zhangمشاهده پروفایل

دانشیار

• Economics of Information Systems
• Knowledge Management
• Electronic Business
• +۳ مورد دیگر

Justin Zhang is an Associate Professor of Management Information Systems and Business Analytics at the University of North Florida (UNF), where he also serves as Program Director for the Master of Science in Business Analytics (MSBA) program. He holds a PhD in Business Administration from Pennsylvania State University, an MA in Economics, and a BS in Engineering. His research focuses on the economics of information systems, knowledge management, electronic business, business process optimization, information security, and social networking dynamics. He has over 270 research outputs, including peer-reviewed articles in top journals like the International Journal of Production Economics and the Journal of Organizational and End User Computing. Dr. Zhang serves as Editor-in-Chief of the Journal of Global Information Management, is an ABET program evaluator, and an IEEE Senior Member. His work bridges theoretical frameworks with practical applications in digital transformation, supply chain resilience, and AI-driven decision models. While no explicit awards are listed, his extensive publication record reflects significant academic contributions. His advising and grant activities are not detailed here, but his editorial roles highlight leadership in academic publishing.

Omar El Housniمشاهده پروفایل

استادیار

• Revenue management
• Assortment optimization
• Online matching platforms
• +۲ مورد دیگر

Omar El Housni is Assistant Professor at Cornell Tech and Cornell University's School of Operations Research and Information Engineering. His research develops robust optimization methods for dynamic decision-making in revenue management and matching platforms. Key research areas include assortment customization under uncertainty, approximation algorithms for matching problems, and probabilistic analysis of affine policies. His NSF-supported work applies to retail, ridesharing, and digital marketplace operations. Honors include the INFORMS Nicholson Prize (2020) and Amazon Inventor Award. He currently supervises five PhD students in optimization and machine learning applications.