جست‌وجوی استاد و پژوهشگر

Srikanth Jagabathulaمشاهده پروفایل

استاد

• Machine Learning
• Business Analytics
• Consumer Choice Modeling
• +۱۱ مورد دیگر

Srikanth Jagabathula is Professor of Technology, Operations, and Statistics, Robert Stansky Research Faculty Fellow, and Academic Director of the Anand Khubani BS in Business, Technology, and Entrepreneurship program at the NYU Stern School of Business. He has been at NYU Stern since 2011, previously serving as Assistant and Associate Professor, and was a Visiting Associate Professor at Harvard Business School. He teaches operations management and AI/ML courses across undergraduate, graduate, PhD, and executive programs. Education: Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2011 S.M., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2008 B.Tech., Electrical Engineering, IIT Bombay, 2006 Srikanth is a leading researcher in machine learning, optimization, and business analytics , with a focus on consumer choice modeling , pricing , and supply chain decisions . His work bridges technical rigor with real-world business impact, particularly in retail and digital platforms. He has pioneered large-scale choice models that integrate customer behavior with operational data to solve complex decision problems. His research leverages mathematical optimization and statistical learning to create scalable solutions for operations and marketing challenges. His recent publications reflect a trend toward AI-driven decision systems in business and public policy, including applications in commodity forecasting and healthcare modeling. These works demonstrate his ability to apply data science to both economic and societal challenges. Scientific Awards and Honors: NSF CAREER Award Wickham Skinner Early-Career Research Accomplishments Award (POM Society) Poets & Quants Top 40 Under 40 Professors President of India Gold Medal IIT Bombay Young Alumni Achiever Award Over ten best paper awards in Operations and Machine Learning Srikanth has made significant contributions through entrepreneurial ventures and industry advisory roles . He co-founded Celect Inc., a retail analytics startup acquired by Nike, which implemented his doctoral research and was recognized as one of MIT CSAIL's 50 great innovations. He currently serves as Chief Scientist and Scientific Advisor at Arena AI, a supply chain AI startup. His work has impacted major companies including The Bon-Ton, Ford, eBay.com, and AB InBev. He has secured research funding from federal sources and top-tier VCs. He is actively engaged in the academic community, serving on the editorial boards of Management Science , Operations Research , and Manufacturing and Service Operations Management . He has delivered over 100 talks worldwide and continues to lead in both research and education innovation.

Jiawei Zhangمشاهده پروفایل

استاد

• Business Analytics
• Optimization
• Machine Learning
• +۷ مورد دیگر

Jiawei Zhang is the Michael Armellino Professor in Business and Professor of Information, Operations and Management Sciences at the Leonard N. Stern School of Business, New York University. He chairs the Department of Technology, Operations, and Statistics and serves as Academic Director of the Master of Science in Data Analytics & Business Computing program. He joined NYU Stern in September 2004 and held a joint position at NYU Shanghai from 2014 to 2017. PhD in Management Science and Engineering, Stanford University, 2004 MS in Operations Research, Tsinghua University, 1999 BS in Applied Mathematics, Tsinghua University, 1996 Professor Zhang's research centers on business analytics, optimization, and operations management. His work integrates machine learning, robust optimization, and stochastic modeling to solve complex problems in supply chain management, healthcare operations, pricing, and revenue management. He investigates decision-making under uncertainty, online learning, and algorithmic approaches to resource allocation. His recent publications reveal a strong focus on theoretical and applied aspects of stochastic optimization, prophet inequalities, assortment optimization, and process flexibility. These works appear in top journals such as Operations Research , Management Science , and Mathematics of Operations Research , reflecting deep contributions to both methodological innovation and practical applications in operations. His editorial service highlights scholarly leadership: Associate Editor, Management Science (2014–present) Associate Editor, Manufacturing & Service Operations Management (2021–present) Associate Editor, Mathematics of Operations Research (2009–present) Associate Editor, Operations Research (2006–present) Professor Zhang teaches a range of courses from undergraduate to PhD levels, including Decision Models and Analytics, Convex Optimization, and Dynamic Programming. He advises PhD students and contributes to executive education programs, including in Risk and Decision Analytics and FinTech. His research is supported by theoretical rigor and real-world applicability, with implications for technology, finance, and healthcare operations.

• Operations Research
• Robust Optimization
• Queueing Theory
• +۷ مورد دیگر

Chaithanya Bandi is an Associate Professor at the National University of Singapore (NUS) in the Analytics and Operations Department of the NUS Business School, with a joint appointment in the Department of Mathematics. His research focuses on decision-making under uncertainty, robust optimization, and their applications in operations management, healthcare, e-commerce, and energy systems. He develops robust optimization models for queueing control, risk optimization, and mechanism design. Key research areas include robust queue inference, two-stage distributionally robust optimization, and multi-item auction mechanisms. He has contributed to operational challenges in healthcare (e.g., patient re-entry scheduling), energy systems (electricity generation optimization), and e-commerce (price optimization for fashion products). His work integrates theoretical advancements with practical implementations in large-scale systems. Recent publications emphasize adversarial evaluation of large language models, dynamic scheduling algorithms, and robust policies for uncertain environments. His methodologies often involve novel optimization frameworks and scalable computational approaches. Dr. Bandi holds a PhD in Operations Research and has collaborated with industry leaders like Flipkart and healthcare providers to apply his models in real-world settings. His contributions bridge theoretical rigor and practical applicability in complex operational systems.

Marjolein Elize Buismanمشاهده پروفایل

استادیار

• Retail Analytics
• Sustainability
• Inventory Management
• +۴ مورد دیگر

Marjolein Elize Buisman is an Assistant Professor at WHU Otto Beisheim School of Management, affiliated with the Supply Chain Management Group. Her research focuses on optimizing supply chain processes with an emphasis on reducing food waste, inventory management, and sustainable practices in retail and food sectors. Research Interests Food Supply Chain Management Inventory Optimization for Perishable Goods Retail Analytics and Operations Consumer Behavior and Substitution Effects Sustainability in Supply Chains Key Research Themes Her work addresses challenges such as donation management for food banks, dynamic pricing strategies, and inventory control for fresh produce. Recent studies emphasize reducing food waste through innovative policies and technological applications. Publications Overview Her publications span topics like food waste reduction via dynamic shelf-life management, inventory dynamics in retail, and joint optimization of product assortments. These contributions highlight interdisciplinary approaches combining operations research, sustainability science, and retail economics. Awards & Grants No scientific awards or grants explicitly listed in the provided materials. Collaborations Active in the Supply Chain Management Group at WHU, collaborating on projects related to perishable inventory control and supply chain resilience.

• Microeconomic Theory
• Contract Theory
• Mechanism Design
• +۲ مورد دیگر

Ashwin Kambhampati is an Assistant Professor of Economics at the United States Naval Academy , where he has taught courses such as Game Theory (SE450), Industrial Organization (FE461), and Mathematical Methods for Economics (SM275) since Fall 2021. He earned his PhD from the University of Pennsylvania in 2021 and previously taught Intermediate Microeconomics (ECON101) there.

Moritz Fleischmannمشاهده پروفایل

استاد

• Reverse Logistics
• Supply Chain Management
• Sustainability
• +۴ مورد دیگر

Professor Moritz Fleischmann serves as Vice President for Sustainability and International Affairs at the University of Mannheim , while holding the Chair of Supply Chain Management in its Business School. With a background in Mathematics, Business, and Economics from Bayreuth, Bordeaux, and Ulm, he earned his PhD in General Management (2000) at Erasmus University Rotterdam, focusing on reverse logistics. Assistant Professor (Quantitative Methods), Erasmus University Rotterdam (until 2004) Associate Professor (Supply Chain Management), Erasmus University Rotterdam (2004–2009) Chair of Supply Chain Management, University of Mannheim (2009–present) Academic Director, ESSEC–Mannheim Modular Executive MBA Program (2011–2019) Interim Acting Dean (2019) and Vice Dean (2019–2020), Mannheim Business School His research spans reverse logistics , sustainable supply chains , inventory control , and dynamic pricing . A pioneer in closed-loop supply chain modeling, he has developed frameworks for recycling credit allocation, attended home delivery optimization, and vendor-managed inventory systems. His work bridges theoretical operations research with practical applications in plastics production, e-commerce, and agrochemical industries. From 2023 to 2024, he led institutional sustainability initiatives and international collaborations. His 15 most recent publications (2025–2020) focus on tackling contemporary challenges like circular economy strategies , crisis logistics , and AI-driven inventory optimization , reflecting his commitment to sustainability and innovation in supply chain operations.

Danny Segevمشاهده پروفایل

استاد

• Stochastic Optimization
• Dynamic Optimization
• Combinatorial Optimization
• +۵ مورد دیگر

Danny Segev is a Professor at the School of Mathematical Sciences within the Faculty of Exact Sciences at Tel Aviv University . His research focuses on mathematical optimization and computational/analytical revenue management, with specific emphasis on stochastic, dynamic, and combinatorial optimization frameworks, as well as assortment planning, inventory control, dynamic pricing, and resource allocation. His recent publications explore advanced approximation algorithms and adaptivity gaps in continuous-time optimization, revenue management under complex choice models like MNL and Exponomial, and quasi-polynomial time schemes for constrained resource allocation. These works often intersect operations research, computer science, and applied mathematics. His current editorial roles include Associate Editor positions at Operations Research and Management Science , covering optimization and market design areas. He is contactable via email at segevdanny@tauex.tau.ac.il and is based in Schreiber, Room 118.

Roy Cerquetiمشاهده پروفایل

استاد

• Quantitative Methods for Economics and Finance
• Data Science
• Complex Networks Analysis
• +۵ مورد دیگر

Roy Cerqueti is Full Professor of Statistics at Sapienza University of Rome where he serves as Director of the Doctoral School in Economics and Social Sciences. He is affiliated with the Department of Social and Economic Sciences and maintains a research affiliation with GRANEM at the University of Angers, France. Previously, he held a part-time professorship at London South Bank University, UK. His research focuses on quantitative methods for economics and finance, data science, and complexity theory. His work spans complex networks analysis, statistical modeling, and applications to financial systems, social dynamics, and policy evaluation. Recent publications demonstrate expertise in Benford's Law applications, cryptocurrency market analysis, social media analytics, and systemic risk assessment in financial networks. Cerqueti's publication record shows strong trends in network science applications to economic systems, with increasing focus on sustainability, social media analytics, and financial market stability. His 2024-2025 work integrates advanced statistical techniques including Random Matrix Theory, fuzzy clustering methods, and multilayer network approaches to analyze complex economic phenomena. He has served as a review panel expert for COST Action proposals (2017-2019) under appointment by the Italian Ministry of Education, University and Research. Cerqueti holds multiple editorial positions and regularly serves as referee for scientific journals and institutions. His teaching portfolio includes courses in International Statistics and Quantitative Methods for Economics at the undergraduate level. As Director of the Doctoral School, he oversees advanced research training in Economics and Social Sciences. He has delivered invited seminars and courses at prestigious international universities, demonstrating global academic engagement. Cerqueti leads research projects including "Analysis of rankings and preference data: new methods and applications" and has participated in numerous national and international research initiatives as Principal Investigator. His lab work focuses on network-based approaches to economic and social systems, with particular emphasis on computational methods for complex data analysis.

Slavica Antonićمشاهده پروفایل

استادیار

• Forest exploitation
• Occupational safety in forestry
• Non-wood forest products
• +۱ مورد دیگر

Slavica Antonić is an Assistant Professor at the Faculty of Forestry , University of Belgrade , where she has been engaged since 2012. Her academic journey includes a 2009 Forestry degree, a 2011 master's thesis, and ongoing doctoral studies since 2014. Research Interests: Her work focuses on forest exploitation mechanics , occupational safety in logging , non-wood forest product utilization , and forest biomass energy systems . She has contributed to understanding terrain impacts on forest infrastructure and optimizing harvesting technologies. Recent Publications: Her 2022-2023 work analyzes morphometric terrain parameters for road networks, chainsaw energy efficiency, and Delphi method-based road siting criteria. Earlier studies (2014-2016) address noise exposure for operators, regeneration damage in beech stands, and poplar plantation residue utilization. Scientific Awards: Slovenian Ministry scholarship for exchange studies at Biotechnology Faculty, Ljubljana (2011) Teaching & Collaboration: She instructs Forest Exploitation 1 and 2 in basic studies and graduate courses on biomass energy and non-wood products. Active in 4 research projects and 9 thesis defense commissions, her work bridges operational efficiency with ecological preservation.

• Supply Chain Management
• Operations Management
• Production Planning
• +۷ مورد دیگر

Fernando Bernstein is a Professor in the Operations Management department at Duke University's Fuqua School of Business . He holds the William and Sue Gross Distinguished Professor of Business Administration title and serves as Associate Dean for Global Initiatives . Ph.D. in Operations Management, 2001, Columbia University Graduate School of Business Licentiate in Mathematics, 1995, University of Buenos Aires His research focuses on supply chain management , retail operations , and game theory applications in production systems. Recent publications explore dynamic assortment personalization , show-up profile modeling , and government regulation impacts on distribution networks. He has served as associate editor for leading journals like Operations Research and Management Science . Excellence in Teaching Award for core MBA course 2008 M&SOM Meritorious Service Award

• Machine Learning Theory
• Foundations of Artificial Intelligence
• Operations Research
• +۵ مورد دیگر

Yunzong Xu is an Assistant Professor in the Department of Industrial and Enterprise Systems Engineering (ISE) and Coordinated Science Laboratory (CSL) at the University of Illinois at Urbana-Champaign, with affiliations in the Departments of Computer Science (CS) and Electrical and Computer Engineering (ECE). He holds a Ph.D. in Data, Systems, and Society from MIT (2023) and dual B.S. degrees from Tsinghua University in Economics and Mathematical Sciences (2018). His research focuses on machine learning theory , foundations of AI , operations research , and management science , with specific interests in online learning , deep learning , sequential decision making , and mathematical problems related to markets , incentives , and social good . His work bridges theoretical analysis with applications in dynamic pricing, reinforcement learning, and network revenue management. Recent publications highlight algorithmic complexity in contextual bandits, offline reinforcement learning , and phase transitions in constrained bandit problems. His research has been recognized by awards from INFORMS, Applied Probability Society, and IBM Service Science. Honorable Mention, INFORMS George Nicholson Student Paper Competition (2020) Winner, INFORMS Data Mining Best Theoretical Paper Award (2020) Finalist, Applied Probability Society Best Student Paper Award (2019) Finalist, INFORMS Undergraduate Operations Research Prize (2018) Finalist, IBM Service Science Best Student Paper Award (2021) He teaches graduate courses on Foundations of Modern Machine Learning (IE598) and undergraduate courses in optimization models (IE310). For more information, visit his personal homepage .

Tony Hernandezمشاهده پروفایل

استاد

• Geographic Information Systems
• Retail Geography
• Location Analytics
• +۵ مورد دیگر

Dr. Tony Hernandez is a Professor in the Department of Retail Management at Toronto Metropolitan University's Ted Rogers School of Management, where he also serves as Director of the Centre for the Study of Commercial Activity (CSCA) and holds the Eaton Chair in Retailing. He obtained his M.Sc. in Geographical Information Systems from Leicester University and Ph.D. in Retail Geography from Manchester Metropolitan University. His research program focuses on: Geospatial analytics for retail location planning Big data applications in retail decision-making Spatial organization of ethnic retail ecosystems Canadian retail policy impacts Consumer behavior modeling through data visualization Recent publication trends (2018-2021) demonstrate strong emphasis on location intelligence innovations, with articles exploring cannabis retail policy responses, ethnic grocery clustering in Toronto, and organizational adoption of big data analytics. This work consistently bridges theoretical geography with practical retail strategy. Significant recognitions include: ICSC's Award for Outstanding Service to the Research Community (2012) Endowed Eaton Chair in Retailing Emeritus status with ICSC's North American Research Taskforce Through the CSCA, Dr. Hernandez leads industry-funded research partnerships with major North American and European retailers, focusing on location optimization, market analysis, and spatial decision support systems.

Yong Bum CHOIمشاهده پروفایل

استادیار

• Distribution Channel
• Retail Strategy
• CRM
• +۵ مورد دیگر

Yong Bum CHOI serves as an Assistant Professor of Marketing at NEOMA Business School in France, holding a PhD in Management from Syracuse University's Whitman School of Management. His academic appointment focuses on retail strategy and consumer behavior within multi-channel environments. Dr. CHOI's research centers on strategic interactions between retailers and manufacturers, price and assortment optimization, and store brand strategies. Key research areas include Distribution Channel management, Retail Strategy, Customer Relationship Management (CRM), and Sustainability, with specific investigations into showrooming behaviors, product assortment dynamics, and customer equity valuation. His publication trends reveal a consistent focus on quantifying retail strategy impacts through empirical analysis of consumer behavior and financial metrics. Recent work bridges marketing theory with practical retail applications, particularly examining how digital channels reshape traditional retail economics and consumer decision pathways. At NEOMA Business School, Dr. CHOI coordinates Retail Strategy and Search Engine Marketing courses alongside the Digital Marketing Specialization for both undergraduate and graduate programs, integrating his research findings into curriculum development for contemporary marketing education.

Ashwin Kambhampatiمشاهده پروفایل

استادیار

• Microeconomic Theory
• Contract Theory
• Mechanism Design
• +۲ مورد دیگر

Ashwin Kambhampati serves as Assistant Professor of Economics at the United States Naval Academy, where he has taught three course sections per semester since joining in Fall 2021. His teaching portfolio includes Game Theory (SE450), Industrial Organization (FE461), Mathematical Methods for Economics (SM275), and a Capstone Research Seminar in Microeconomic Theory (SE475). Dr. Kambhampati earned his PhD from the University of Pennsylvania in 2021, where he previously taught Intermediate Microeconomics (ECON101). His academic journey reflects a strong foundation in theoretical economics with practical teaching experience at both undergraduate and military academy levels. Specializing in microeconomic theory, Dr. Kambhampati's research examines contract theory, mechanism design, matching, and games of incomplete information. His innovative work investigates how economic mechanisms perform under uncertainty and information asymmetry, developing frameworks for optimal contract design when principals lack complete knowledge about agents' capabilities. Through rigorous game-theoretic modeling, he analyzes strategic interactions in principal-agent relationships and organizational structures, with particular focus on how randomization can enhance robustness in economic mechanisms and how information diversity affects team formation within organizations. Dr. Kambhampati's publication record demonstrates significant scholarly impact, with papers appearing in top-tier journals including Theoretical Economics, Journal of Economic Theory, RAND Journal of Economics, and Journal of Economic Behavior and Organization. His research shows a clear progression toward increasingly complex applications of robust mechanism design, with recent work examining monopoly screening efficiency, linear contract robustness, and informationally diverse team formation. His scholarly contributions have gained recognition through revise-and-resubmit decisions at the American Economic Review and third-round revisions at Games and Economic Behavior. Dr. Kambhampati has presented his research at major conferences including the 2024 North American Winter Meeting of the Econometric Society in San Antonio, Texas. Dr. Kambhampati actively mentors students, supervising Ryan Hoffman's AY2023 honors project that resulted in the published paper 'Pay Equality Among Heterogeneous Agents' in Economics Letters. His current research agenda includes three significant projects: 'Service Assignment at the United States Naval Academy' (with Chad Redmer and Naomi Utgoff), 'A Theory of Firm Boundaries with Long-Run Incentives and At-Will Employment' (with Gorkem Bostanci), and 'Search Committees with Disparate Costs' (with Nageeb Ali and Aislinn Bohren), indicating a robust research program with both theoretical and practical applications.