Find Academic Supervisors

Karin Maria Laura ZaghiView profile

Associate Professor

• Retail Management
• Visual Merchandising
• Sustainable Category Management
• +5 more

Karin Maria Laura Zaghi is an Associate Professor of Practice in Channel and Retail at the SDA Bocconi School of Management , part of Bocconi University . She also serves as a Marketing lecturer at Bocconi University. Since 1994, she has collaborated with SDA Bocconi, leading the Category Channel & Retail department and coordinating Executive Open Market programs in Trade Marketing, Category Management, Visual Merchandising, and Store Management. Her expertise spans fashion, automotive, electronics, and grocery sectors, with a focus on consultancy and training for large companies and public entities. Education: Degree from Bocconi University. Research Interests: Retailing, visual merchandising, sustainable category management, and trade marketing. Her work emphasizes in-store brand equity, customer experience, and the integration of digital communication with sustainability practices. Key themes include crisis impact on brand equity, multisensory retail experiences, and omnichannel strategies. Publications: Authored books such as Visual Merchandising and In-Store Brand Equity (2025), In-store brand equity (2024), and academic articles in journals like Micro&Macro Marketing and Economia&Management . Her 2023 article, L’in-store brand equity al tempo delle crisi , explores brand equity dynamics during economic crises. Consultancy & Training: Provides managerial consulting on retail strategies, collaborating with major firms. Designs executive programs focusing on retail design, in-store marketing, and trade analysis. Labs/Teams: Leads retail strategy initiatives at SDA Bocconi, integrating academic research with industry practices.

• Operations Management
• Revenue Management
• Pricing Strategies
• +4 more

Tarek Abdallah is an Associate Professor of Operations at the Kellogg School of Management, Northwestern University, since 2018. He holds a Ph.D. in Operations Management from NYU Stern School of Business, an MSc in Management Science from the University of Waterloo, and a BSc in Industrial Engineering from Middle East Technical University. His research focuses on the intersection of operations management, economics, and marketing, particularly in pricing and revenue management for traditional and innovative marketplaces. Key interests include subscription services, bundle pricing mechanisms, and demand estimation from censored sales data. He has published extensively on topics like dynamic pricing, inventory scarcity effects, and large-scale bundling strategies. Abdallah's work emphasizes practical applications of operations research, combining theoretical models with real-world data. His recent studies explore data-driven demand predictions, regime-dependent pricing approximations, and the impact of market growth on delivery systems. His research has been recognized with the Harold W. MacDowell Ph.D. Dissertation Award. He teaches courses on decision models, prescriptive analytics, and operations management, emphasizing tools like optimization and Monte Carlo simulation for strategic decision-making. His academic contributions bridge theory and practice, addressing challenges in supply chain, retail, and service industries.

Pauline MourotView profile

Assistant Professor

• Health Economics
• Labor Economics
• Organizational Economics
• +2 more

Pauline Mourot is an Assistant Professor of Economics at Boston University's College of Arts & Sciences. She holds a Ph.D. in Economics from the University of Chicago Booth School of Business. Her research focuses on healthcare market organization, labor economics, and public economics. She examines how surgeon-hospital complementarities and regional market dynamics affect healthcare quality and patient outcomes. Her work has been featured in outlets like the BFI , Washington Post , and Chicago Booth Review . She has contributed to studies on optimizing surgeon-hospital allocations to reduce mortality rates and analyzing scale economies in medical service production. Her research highlights how larger regions benefit from increased medical service variety and quality, attracting patients from smaller regions. Dr. Mourot teaches courses in Health Economics and has been affiliated with Boston University's Healthcare Analytics Lab. She has collaborated with researchers including Jonathan Dingel, Josh Gottlieb, and Maya Lozinski on projects addressing healthcare market structures and policy implications.

Dorothee HonhonView profile

Associate Professor

• Operations Management
• Retail Operations
• Inventory Management
• +5 more

Dorothee Honhon is Associate Professor of Operations Management at the Naveen Jindal School of Management , University of Texas at Dallas. In addition to her faculty role she currently serves as Associate Dean for Sustainability and Societal Impact in the Dean’s Office. Education Ph.D. in Operations Management, New York University , 2006 B.S., University of Liège, Belgium , 2000 Research Interests Dr. Honhon’s scholarship lies at the intersection of retail operations , inventory theory , and sustainability . She investigates how firms can design product assortments, manage inventories, and structure promotions to simultaneously enhance profitability and reduce waste. Her work spans assortment planning under consumer-driven substitution , perishable inventory control , green transportation , and behavioral drivers of execution failures in retail supply chains. A unifying theme is the use of rigorous analytical models, laboratory and field experiments, and data analytics to generate actionable insights for industry. Publications Overview From 2006 to 2025 she has authored more than 40 peer-reviewed articles in leading journals such as Production and Operations Management , Manufacturing & Service Operations Management , and Operations Research . Recent work (2023–2025) focuses heavily on food waste reduction and sustainable retail operations , exploring how promotion, packaging, and supply-chain policies jointly influence waste and profit. Earlier contributions advanced assortment optimization and consumer choice modeling under dynamic substitution. Awards & Recognition Wickham Skinner Best Paper Award , Production and Operations Management (2012) Trammell/CBA Foundation Teaching Award for Assistant Professors (2011) University of Texas Regents’ Outstanding Teaching Award for Assistant Professors (2010) Teaching & Service She teaches core MBA and Masters courses OPRE 6302 Operations Management and OPRE 6341 Retail Operations . Active in multiple professional societies—INFORMS, POMS, MSOM, WORMS, and the Consortium for Operations Excellence in Retailing—she frequently advises doctoral students and serves on editorial boards, shaping the future of retail operations scholarship.

Savannah Wei ShiView profile

Associate Professor

• Digital Marketing
• Consumer Behavior
• Data Analytics
• +3 more

Savannah Wei Shi is an Associate Professor in the Marketing Department at Santa Clara University’s Leavey School of Business, holding the J.C. Penney Research Professorship. She joined the faculty in 2011 after earning her Ph.D. in Marketing from the University of Maryland, College Park. As Chair of the Undergraduate Leadership Team (ULT), she oversees academic and strategic initiatives at the Leavey School. Education : Ph.D. in Marketing, University of Maryland, College Park (2011) Research Interests : Savannah’s work focuses on consumer decision-making in digital environments, employing advanced metrics like eye-tracking, pupillary response, and click-stream data. Her studies explore how consumers interact with online platforms, product assortments, and mobile applications. She has published in top-tier journals including Management Science , Marketing Science , and Journal of Marketing , and contributed to the Wiley International Encyclopedia of Marketing . Awards : MSI H. Paul Root Award (Journal of Marketing) Donald R. Lehmann Award (Journal of Marketing Research) Outstanding Teaching, Research, and Service Award (Leavey School of Business) Teaching & Advising : Savannah teaches courses such as Internet Marketing, Retail Strategy, and MBA Capstone. She has advised numerous students on research projects and is recognized for her innovative pedagogy. No formal advisee list is provided in the materials. Labs/Teams : No specific labs or teams are mentioned in her profile, though her research often involves collaborations with industry partners in retail and digital marketing.

Naren AgrawalView profile

Professor

• Supply Chain Management
• Service Supply Chain Management
• Manufacturing Competitiveness
• +4 more

Naren Agrawal is the Benjamin and Mae Swig Professor of Operations Management and Information Systems (OMIS) at Santa Clara University's Leavey School of Business, where he has served since 1992. He previously held roles as Associate Dean of Faculty (until 2015) and was a visiting professor at The Wharton School (1999-2001) and the Indian School of Business (2004, 2006). His expertise spans supply chain management, service supply chains, and manufacturing competitiveness. Dr. Agrawal earned a Mechanical Engineering degree from Banaras Hindu University (India), followed by an M.S. in Management Science from the University of Texas at Dallas, and an M.A. and Ph.D. in Operations and Information Management from The Wharton School, University of Pennsylvania. His research focuses on optimizing supply chains, inventory systems, and digital advertising strategies. He has published in leading journals such as Harvard Business Review , Operations Research , and Production and Operations Management , and co-edited Retail Supply Chain Management . He serves on editorial boards for Management Science and Production and Operations Management . Awarded the Dean’s Teaching Excellence Award (1996–2007) and the Wharton MBA Core Curriculum Teaching Award, he is a three-time recipient of the Breetwor Fellowship. His consulting work spans industries like retail (The Gap, Overstock.com) and high-tech (HP, IBM). He is a Research Faculty Associate at the Retail Workbench, a trustee of Give2Asia, and an INFORMS member.

Spyros AngelopoulosView profile

Professor

• Digital Transformation
• User Behavior on Digital Platforms
• Information Systems
• +4 more

Spyros Angelopoulos is a Full Professor and co-Director of the Centre for Strategy, Technological Innovation, and Operations (CSTIO) at Durham University Business School. He leads research in digital transformation, user behavior on digital platforms, and cybersecurity, with affiliations spanning the Department of Management & Marketing. His academic journey includes a PhD in Information Systems from Warwick Business School (2014), an MSc (2009) and BSc (2007) in Production Engineering from the Technical University of Crete. Angelopoulos's research bridges business analytics, AI adoption, and digital resilience. His work examines: Human-algorithm interactions in healthcare diagnostics Circadian rhythms in e-commerce behavior Social media influencer engagement dynamics Institutional adaptation to digital disruption His 15 most recent publications demonstrate strong emphasis on algorithmic fairness, digital service optimization, and socio-technical system evolution. Honors include: Google Faculty Expert (2020-2023) ICIS Best Paper awards (2017) Microsoft Azure Research Awards (2014, 2016) Erasmus+ and Google Cloud grants He currently supervises PhD candidates Pearl Ding, Maddy Hunt, and Stefanie Gante. Secured research funding exceeds €5 million, including: Co-PI for €3.3M 'DLT Innovation & Ecosystem Management' project (2022-2025) £500K 'Space Analytics for New Markets' initiative €230K 'Digital Healthcare Transformation' program As CSTIO co-Director, he leads interdisciplinary teams exploring military digitalization, blockchain ecosystems, and AI governance frameworks. Regularly serves as guest editor for leading IS journals and organizes international special issues.

Evrim DalkiranView profile

Associate Professor

• Global Optimization
• Reformulation-Linearization Technique (RLT)
• Mixed-integer Nonlinear Programming (MINLP)
• +9 more

Dr. Evrim Dalkiran is an Associate Professor in the Department of Industrial and Systems Engineering at Wayne State University's College of Engineering. She holds a Ph.D. in Industrial and Systems Engineering from Virginia Tech (2011), and B.S./M.S. from Bogazici University (2003, 2006). Her work focuses on global optimization and decision analysis with applications in healthcare operations and supply chain management. B.S., Industrial Engineering, Bogazici University, Turkey M.S., Industrial Engineering, Bogazici University, Turkey Ph.D., Industrial and Systems Engineering, Virginia Tech Her research spans Global Optimization , Reformulation-Linearization Technique , Mixed-Integer Programming , and Multi-Objective Optimization , with application domains in Healthcare Operations , Emergency Patient Flow , Supply Chain Management , and Diabetes Risk Modeling . Current research includes real-time coordination tools for emergency departments and inverse optimization models. Her publications demonstrate expertise in polynomial programming , RLT implementations , and healthcare logistics , with recent work on automotive sustainability and smart grid allocation . Articles span journals like European Journal of Operational Research and Operations Research . Best Paper Award, Journal of Global Optimization, 2012 Outstanding Faculty Award, WSU, 2016 Pritsker Dissertation Award Finalist, 2012 IIE Student Paper Competition Advisor, multiple awards As faculty advisor, she mentors students in projects related to emergency department optimization and supply chain modeling . Her grant history includes multiple Veterans Administration projects on patient flow and Goodyear-funded supply chain optimization. She teaches advanced optimization courses and maintains professional affiliations with INFORMS and Mathematical Optimization Society.

• Macroeconomics
• Risk Analysis
• Economic Policy
• +4 more

Prof. Mario Menegatti is a full Professor ("Professore di I fascia") at the Department of Economic and Business Sciences, University of Parma. He has been teaching Macroeconomics and Advanced Macroeconomics courses in the First Cycle Degree in Economics and Management for over a decade, with appointments confirmed through the academic year 2025/2026. Macroeconomics (2014-2025) Advanced Macroeconomics (2015-2025) His research spans multiple economics subfields including: Risk analysis and decision theory Precautionary saving under multiple risks Behavioral economics and uncertainty modeling Environmental risk impacts on consumption Fiscal policy and public investment under uncertainty Retail economics and consumer behavior Recent publications explore topics such as: Time risk discounting preferences Interaction between prevention and health economics Variability in punishment and crime deterrence Convenience drivers in online grocery retailing Optimal prevention and cure strategies under uncertainty His work connects theoretical developments with practical applications, covering both financial and environmental risk domains. His research appears in journals covering economics, risk analysis, and public policy, with a particular focus on understanding how individuals and institutions make decisions under complex risk environments.

Vivek F. FariasView profile

Professor

• Reinforcement Learning
• Dynamic Optimization
• Stochastic Systems
• +4 more

Vivek F. Farias is the Patrick J. McGovern (1959) Professor at the MIT Sloan School of Management , where he is affiliated with the Operations Management group and the Operations Research Center (ORC) . His work bridges high-dimensional optimization, reinforcement learning, and stochastic modeling, with applications in commerce, healthcare, and biology. Education: Ph.D. in Electrical Engineering, Stanford University (Advisor: Prof. Benjamin Van Roy) Research Focus: Vivek’s research spans Reinforcement Learning , Dynamic Optimization , Approximation Algorithms , and Inference in Large-Scale Stochastic Systems . Recent applications include commerce platforms, protein networks, and healthcare operations. He has published extensively in top-tier venues like Management Science , Operations Research , NeurIPS , ICML , and Nature Communications . Editorial & Service Roles: Co-Editor, Data Science Area, Management Science Editorial Board, Operations Research Editorial Board, INFORMS Journal on Optimization Scientific Awards: 2022 RMP Jeff McGill Student Paper Award (First Prize) 2022 Applied Probability Society Student Paper Prize (First Prize) 2016 INFORMS MSOM Best Paper in Management Science 2015 INFORMS Revenue Management and Pricing Section Prize Best Simulation Publication Award, INFORMS Simulation Society (2014) George Nicholson Student Paper Competition, First Place (2017) Advising & Mentorship: Vivek has advised 14+ Ph.D. students and numerous MS students, many now faculty at top institutions (Columbia, NYU, CMU, INSEAD) or leaders in industry (Uber, Facebook, Lyft, McKinsey). His lab focuses on scalable algorithms for real-world decision-making under uncertainty. Industry & Entrepreneurship: He co-founded and served as CTO of Celect (acquired by Nike) and currently advises multiple technology startups in retail, healthcare, and finance.

• Econometrics Theory
• Empirical Bayes Methods
• Heterogeneous Parameters
• +4 more

Sheng Chao Ho is an Assistant Professor at the School of Economics, Singapore Management University. He earned his Ph.D. in Economics from the University of Pennsylvania in May 2024. His research focuses on econometric theory and empirical Bayes methods, particularly in high-dimensional and large-scale estimation problems. His research interests lie at the intersection of econometrics and statistical decision theory. He specializes in empirical Bayes methods , nonparametric estimation under heteroskedasticity , and optimal shrinkage estimators . His work often applies to education economics, particularly in modeling teacher value-added with complex data structures. The two most recent working papers demonstrate a strong trend in developing theoretically grounded, asymptotically optimal estimation techniques for real-world data with limited mobility and unknown variance structures. His methodological contributions leverage sufficient statistics and risk minimization principles to achieve near-parametric regret bounds in large-scale settings. While no formal scientific awards are listed, his publications in high-quality working paper series indicate strong research potential and academic recognition. He currently does not list any advisees or grant funding. There is no mention of leadership in labs or research teams, though his affiliation with research data centers like the North Carolina Education Research Data Center suggests collaborative empirical work.

Daniel GuhlView profile

Assistant Professor

• Discrete Choice Models
• Consumer Behavior
• Applied Econometrics
• +4 more

Prof. Dr. Daniel Guhl is an Assistant Professor of Consumer Behavior at the School of Business and Economics, Humboldt University Berlin. He serves as an incoming Principal Investigator for project A05 within the CRC TRR 190 Rationality and Competition, collaborating with Daniel Klapper (HU) and Martin Spann (LMU). His academic career includes ongoing postdoctoral research at Humboldt University Berlin since 2014, complemented by industry experience as Head of Econometric Research & Development and Data Scientist at So1 GmbH from 2012-2016. Daniel Guhl earned his Dr.rer.pol. from TU Clausthal in 2014 and his Dipl.-Kfm. from RWTH Aachen University in 2006. His educational foundation spans business administration with a strong quantitative focus, preparing him for his research in consumer behavior and econometric modeling. Dr. Guhl's research focuses on consumer choice behavior at the intersection of marketing, economics, and applied econometrics. He specializes in developing and applying discrete choice models using both classical and Bayesian methods to analyze market and experimental data. His work aims to deepen understanding of individual consumer decision-making, particularly where it diverges from neoclassical economic assumptions. His research interests span Discrete Choice Models, Consumer Behavior, Applied Econometrics, Behavioral Economics, and Machine Learning. Methodologically, he excels in discrete choice modeling, econometric analysis of panel data, and experimental design for consumer research, with particular expertise in time-varying parameters and attribute non-attendance in choice models. Dr. Guhl's publication record demonstrates consistent scholarly productivity with a clear evolution toward increasingly sophisticated modeling techniques and dynamic aspects of consumer behavior. His recent work integrates machine learning approaches with traditional econometric methods to address complex marketing challenges including brand equity measurement, loyalty program effectiveness, and retail marketing optimization. His research consistently bridges theoretical insights with practical marketing applications, contributing significantly to both academic literature and industry practice. Dr. Guhl maintains active engagement with the academic community through multiple professional affiliations. He is a member of the VHB (MARK) since 2018, a member of CRC TRR 190 (Rationality and Competition) since 2017, a Fellow at the Berlin Centre for Consumer Policies (BCCP) since 2016, and a member of the European Marketing Academy since 2016. These connections position him at the forefront of marketing and consumer behavior research. As an Assistant Professor, Dr. Guhl likely mentors graduate students and participates in research collaborations. His role in the CRC TRR 190 project indicates active involvement in securing research funding and leading collaborative research teams focused on rationality and competition in market contexts. His industry background provides valuable practical perspective for student training and research design. Dr. Guhl's work is closely associated with the Berlin Centre for Consumer Policies (BCCP), where he serves as a Fellow. This affiliation suggests interdisciplinary collaboration with economists, legal scholars, and policy experts, extending the impact of his research beyond traditional marketing boundaries into consumer policy domains.

• Humanitarian operations
• Sustainable and socially responsible operations
• Operations and Supply Chain Analytics
• +2 more

Alborz Hassanzadeh is an Assistant Professor of Operations and Supply Chain Analytics at NEOMA Business School, France. His research focuses on humanitarian operations, sustainable operations, and retail analytics. He has published in top-tier journals like European Journal of Operational Research and Applied Soft Computing. Ph.D. in Operations and Data Analytics from ESSEC Business School (France) Postdoctoral Fellow at HEC Montréal (Canada) Visiting Research Scholar at IESE Business School (Spain) His work addresses complex challenges in humanitarian aid supply chains, contract design, and multi-objective optimization. Key methodological domains include heuristic algorithms, decision support systems, and sustainable logistics. Recent publications demonstrate expertise in resource allocation, scheduling, and consumer behavior modeling. He serves as an ad hoc reviewer for multiple journals and applies his industry experience in manufacturing and retail to academic research. Collaborations span international institutions, with presentations at conferences like EURO, POMS, and ISMP.

Sulabh JainView profile

Lecturer

• Practical AI
• Artificial Intelligence
• Business Analytics
• +9 more

Sulabh Jain is a Lecturer at the Paul Merage School of Business, University of California, Irvine. He brings extensive industry experience in analytics and artificial intelligence to his academic role. His educational background includes: Post Graduate Diploma in Management, Indian Institute of Management, Ahmedabad (India) Bachelor's of Technology in Mechanical Engineering, Indian Institute of Technology, Bombay (India) Sulabh Jain's research interests focus on the practical application of advanced technologies in business contexts. His expertise lies in Practical AI , Business Analytics and Data Science , and Retail Pricing & Promotions . His work emphasizes enabling data-driven business decisions and streamlining operational processes through AI systems. His professional experience spans global retail brands and Fortune 1000 companies, where he has led advanced analytics initiatives in pricing, promotions, inventory management, merchandizing, and assortment optimization. Sulabh has also been a core member of early-stage startups in high-tech industries, leading teams across data science, business strategy, and operational efficiency. As a management consultant, he has advised senior leadership in sectors including Industrial Goods, Retail Banking, Retail & Consumer Goods, and Technology. Sulabh Jain currently serves as the Chief Analytics Officer at Impact Analytics, a company specializing in AI-driven decision systems for the retail and CPG sectors. This role underscores his strong industry engagement alongside his academic responsibilities.

Srikanth JagabathulaView profile

Professor

• Machine Learning
• Business Analytics
• Consumer Choice Modeling
• +11 more

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.