Evelyn Xiaoyue Gong is an Assistant Professor of Operations Management at the Tepper School of Business , Carnegie Mellon University . She holds a PhD in Operations Research from MIT (2023) and a BS in Honors Mathematics and Interactive Media Arts from New York University (2017) . Research Interests : Developing artificial intelligence solutions for supply chains and sustainability with provable performance guarantees. Online assortment optimization, pure exploration in reinforcement learning, and data-driven decision-making . Recent Work Trends : Her publications focus on applying reinforcement learning and optimization algorithms to supply chain sustainability, server deployment under uncertainty, and resource management. Key themes include AI-driven environmental impact reduction and theoretical advancements in online inventory models . Scientific Recognition : Best Dissertation Prize , Supply Chain Conference (2023) Accenture Fellowship (2022-2023) Bayer Women in Operations Research Scholarship (2021) Professional Service : Reviewer for Management Science , NeurIPS 2025 , and IPCO 2025 . Committee member for INFORMS Public Sector Operations Research Best Paper Award (2025).
Chris Telmer is an Associate Professor of Financial Economics at Carnegie Mellon University's Tepper School of Business. He has held key academic positions since 1998 and served as Department Head for Economics from 2019 to 2021. His work bridges finance, macroeconomics, and international economics. PhD in Economics (Queen's University, 1992) BA Hons. in Economics (University of Western Ontario, 1986) His research focuses on: Government subsidies for renewable energy financing Consumption behavior and risk sharing Exchange rate dynamics and international finance Intergenerational mobility and surname-based economic inference Labor-market risk and financial markets Recent publications highlight trends in international finance , intergenerational mobility , and macroeconomic risk . Key topics include currency risk, asset pricing, and demographic analysis. Scientific recognition includes: Undergraduate Teaching Award (1995) George Leland Bach Award for MBA Teaching (2001) Telmer has advised numerous students, collaborated with global institutions, and held visiting roles in Canada, Chile, Japan, Spain, and Sweden. His work connects financial markets with macroeconomic policy challenges.
Arash Asadpour Rahimabadi is an Associate Professor at the N. P. Loomba Department of Management within the Zicklin School of Business at Baruch College, CUNY . His research bridges Operations Research and Management Science , focusing on algorithmic design, dynamic pricing, and optimization in gig economy platforms. Education: Ph.D. in Operations Research, Stanford University (2010) BSc in Computer Engineering, Sharif University of Technology (2004) His research interests include stochastic optimization , submodular maximization , marketplace stability , and fair allocation . Recent work explores dynamic pricing in extreme value regimes , shared ride sustainability , and regulation of gig economy platforms . His scientific contributions span algorithmic game theory, combinatorial optimization, and resource allocation, with key publications in Management Science and Operations Research . Current projects analyze escrow payment mechanisms , shared mobility efficiency , and hotel reservation systems . Scientific Awards Best Paper Award, ACM-SIAM Symposium on Discrete Algorithms (SODA), 2010 1st Rank in Iran’s National Graduate Entrance Exam in Computer Engineering, 2004 Silver Medals in Iranian National Olympiads in Informatics, 1999–2000 He serves on graduate and PhD committees at CUNY and has reviewed for journals including Management Science and Operations Research . His teaching includes courses like Decision Models and Analytics and Advanced Discrete Optimization .
Prof. Dr. Sandra Transchel is a Full Professor of Supply Chain and Operations Management at Kühne Logistics University (KLU) in Hamburg, Germany. She has held this position since 2019, previously serving as Associate Professor (2011-2019) and Dean of Programs (2014-2015). Her academic journey includes appointments as Assistant Professor at Pennsylvania State University (2008-2011) and Visiting Assistant Professor at Tuck School of Business at Dartmouth (2011). Education includes: PhD in Business Administration, University of Mannheim (2008) Diploma in Business Mathematics, Otto-von-Guericke University Magdeburg (2004) Her research integrates supply chain management, inventory control, and revenue management with a strong focus on retail operations optimization and food supply chain sustainability . Key investigations examine perishable inventory systems, demand-supply synchronization, and substitution behavior. Current projects address food waste reduction through contract-based coordination in fresh food supply chains and development of urban food production networks (FabCity). Publications demonstrate consistent focus on inventory optimization under uncertainty, with recent work extending into pandemic impacts on humanitarian logistics and perishable inventory systems with lead-time variability. Research consistently bridges theoretical models with retail/manufacturing applications. Teaching includes Decision Analysis, Inventory and Warehouse Management, and Warehousing and Intralogistics across BSc, MBA, and MSc programs at KLU.
Heikki Peura is an Associate Professor in the Department of Information and Service Management at Aalto University School of Business. Previously, he served as an Assistant Professor at Imperial College Business School, Imperial College London. His educational background includes: PhD in Management Science and Operations from London Business School (awarded June 30, 2016) MSc in Engineering Physics and Mathematics from Aalto University, specializing in Systems and Operations Research (awarded April 27, 2010) Professor Peura specializes in analytics methods for understanding and improving firms' operational decisions . His research spans several interconnected domains including revenue management, sustainable energy generation, and supply chain management. He applies advanced analytical techniques to solve complex business problems, particularly focusing on optimization methods and decision-making under uncertainty. His work bridges theoretical operations research with practical business applications, making significant contributions to both academic knowledge and industry practice. Analysis of his recent publications reveals a consistent focus on operational decision-making with applications across multiple sectors. His work demonstrates strong methodological rigor in optimization techniques while addressing practical business challenges in energy markets, supply chain dynamics, and revenue management systems. There's a clear evolution in his research from foundational work in pricing and optimization toward more complex applications involving sustainability, risk management, and strategic decision-making in competitive environments. Professor Peura has been actively involved in teaching operations and supply chain analytics as well as revenue management courses at Aalto University. At Imperial College, he taught courses including Data Structures and Algorithms, and contributed to various Master's programs in Business Analytics and Financial Engineering. His research has established significant connections with industry applications, particularly in energy markets and platform businesses. Professor Peura maintains an active research agenda with several working papers addressing contemporary challenges in non-profit fundraising, decarbonization pathways, and healthcare financing.
Junzhao Ma is a Senior Lecturer in the Department of Marketing at Monash University. He holds a BA in Economics from Yale University and a PhD in Marketing from the Kellogg School of Management, Northwestern University. Previously, he worked as a marketing analyst at Capital One Financial Corporation and JP Morgan and Co. Education: BA Economics (Yale University), PhD Marketing (Kellogg School, Northwestern University) His research focuses on technology adoption, e-commerce, real estate, and media's social impact, employing novel methodologies and data sources. He has contributed to journals like Journal of Retailing , International Journal of Research in Marketing , and Journal of Business Ethics . His work aligns with UN Sustainable Development Goals related to reduced inequalities and responsible consumption. Recent research highlights include studies on service robot anthropomorphism (2023), sex robots acceptance (2022), and media-driven consumption trends (2020). He has received Dean's Letters for Teaching Excellence in 2020 and 2021. Scientific Awards: Dean's Letter for Teaching Excellence (2020, 2021) Junzhao actively engages in academic service, including peer reviews for Asia Pacific Journal of Marketing and Logistics and presentations at the INFORMS Marketing Science Conference and Australian & New Zealand Marketing Academy Conference. He has served as Chief Investigator in projects like "Bridging the Intention-Behaviour Gap in the Australian Tourism Industry" (2022-2024) and "eBabies: Forecast and Implications for Society" (2020-2021).
Professor Fang Liu serves as a Professor of Operations Management at Durham University Business School (DUBS). She joined Durham University in 2023 after academic positions at The University of Chinese Academy and Nanyang Technological University, bringing extensive expertise in supply chain systems and operational resilience. Her educational foundation includes a doctoral degree in Operations Management from Duke University's Fuqua School of Business, USA. Liu's research centers on Supply Chain Resilience, Inventory Management, E-commerce and Warehouse Management, and Corporate Social Responsibility and Sustainability. Her work develops innovative frameworks for mitigating disruption risks while optimizing resource allocation, with direct applications in global logistics networks and sustainable operations. She bridges theoretical rigor with practical implementation across diverse sectors. Analysis of her publication trajectory reveals a strategic evolution from foundational inventory theory toward contemporary challenges in e-commerce logistics and sustainable supply chains. Her recent work increasingly addresses healthcare operations and carbon-neutral supply chain design, consistently published in premier journals like Operations Research and Production and Operations Management. Professor Liu has secured multiple competitive research grants as Principal or co-Principal Investigator. She actively translates academic insights into practice through collaborations with organizations including Cummins, Singapore IFRC, and Meide, focusing on operational optimization and resilience building. While specific lab structures aren't detailed, her industry partnerships demonstrate applied research engagement, particularly in developing solutions for complex operational challenges faced by multinational corporations and humanitarian organizations.
Professor Daniel Chicksand is a faculty member in the Department of Management at Birmingham Business School, University of Birmingham , where he holds the rank of Professor of Operations and Supply Management . He also serves as the Director of the Distance Learning MBA programme. Daniel has held academic positions at Warwick Business School and Aston Business School prior to joining Birmingham in 2016 as a Reader, being promoted to full Professor in 2021. Education: PhD in Commerce, University of Birmingham (2009) MBA in Business Strategy & Procurement, University of Birmingham (2003) MSc in Industrial Logistics, University of Central England (1996) BSc in Industrial Information Technology (2:1 hons), University of Central England (1995) Postgraduate Certificate in Academic and Professional Practice, University of Warwick (2011–2013) Daniel’s research is centered on Operations and Supply Chain Management , with a strong theoretical foundation in Resource Dependency Theory (RDT) . His work explores power dynamics , value appropriation , and relationship management in buyer-supplier interactions across sectors such as food, construction, and sustainable supply chains. He has a growing interest in servitization and its impact on value creation. His methodological approach is primarily qualitative, using case-based research. The recent publications reflect a consistent focus on power and negotiation in procurement , resilience and disruption in supply chains (including simulation modeling), and sustainability reporting . His research spans both private and public sectors and often involves international collaboration with institutions in the UK, Europe, and the US. Scientific Engagement and Awards: Visiting Lecturer at Audencia Nantes School of Management (France) Visiting Lecturer at Ecole des Ponts ParisTech and Solvay Business School (France/Belgium) Educator for Duke Corporate Education Collaborator with leading researchers from Aston, Cardiff, Cranfield, Loughborough, Linkoping, and Fox Business School Daniel supervises multiple doctoral students and is involved in pilot research projects funded by the British Academy and the Chartered Institute of Logistics and Supply. He also leads two consultancy firms— DDC Solutions Ltd and Opsworks Ltd —delivering bespoke training and education programmes to corporate clients like UBS, KPMG, and Adams Foods. His prior experience as a business owner in African arts and crafts importation provides practical insights into supply chain and operations management, enriching his teaching and research. Laboratories and Research Teams: Member of the Aston Centre for Seritization Research and Practice (2015–present) Collaborative research network across UK, European, and US universities Lead on projects involving discrete-event simulation and gamification in SCM
Robert Rooderkerk is Associate Professor of Operations Management at the Rotterdam School of Management, Erasmus University Rotterdam, where he is affiliated with the Department of Technology and Operations Management. His research sits at the intersection of marketing and operations, focusing on omnichannel retail, assortment optimization, and fulfillment strategies. He teaches courses on retail operations, empirical research methods, and consumer decision making across undergraduate, MBA, and PhD programs. Research Interests: His research combines empirical and conceptual approaches to understand how data analytics, consumer behavior, and new technologies are transforming retail. He investigates topics such as product line design, dynamic assortment personalization, and the impact of fulfillment failures on customer loyalty. His work integrates methods from econometrics, operations research, and psychology. Publication Trends: His recent publications span journals in marketing, operations, and management, reflecting the interdisciplinary nature of his work. Key themes include the adoption of retail analytics, omnichannel integration, and behavioral aspects of retail operations. There is a strong emphasis on practical relevance and industry applicability. Dutch Marketing Science Award Paul Green Award Finalist, Journal of Marketing Research Advising and Grants: While no direct list of students is provided, he supervises bachelor theses and contributes to PhD training through the ERIM Master of Philosophy program. He has served as coordinator of the Research Training and Bachelor Thesis course. His research has been supported through academic collaborations and has had significant media coverage, indicating public and industry impact. Labs and Teams: He is actively involved in the Marketing-Operations Interface research group at RSM and collaborates with scholars globally. His work contributes to the UN Sustainable Development Goals, particularly through innovations in sustainable retail practices and responsible consumption.
Prof. Jörn Meissner, PhD, is a Full Professor of Supply Chain Management & Pricing Strategy at Kühne Logistics University (KLU) since 2011. He holds a PhD and Master’s in Management Science from Columbia Business School and a Diploma in Business from University of Hamburg . As an academic and entrepreneur, he founded Manhattan Review and Lancaster Executive . Education: PhD in Management Science, Columbia University (2005) Master of Philosophy, Columbia University (2005) Diplom-Kaufmann, University of Hamburg (1997) Research Expertise: Focus on stochastic and dynamic decision-making using mathematical optimization and machine learning Key projects: Global supply chain optimization , Inventory control , Revenue management , and Operations & service management Industry collaborations with British Telecom , British Airways , Apple Europe , and SAP Germany Publication Trends: Recent work addresses intermittent demand forecasting for spare parts, lateral transshipment optimization , and risk-sensitive capacity control Historical contributions include progressive interval heuristics for multi-item lot sizing and dynamic pricing with customer choice models Teaching Experience: Previously held academic positions at Lancaster University Management School , University of Hamburg , and University of Mannheim Developed MBA electives in Advanced Decision Models , Supply Chain Management, and Revenue Management
Roles and Affiliations: Daniel Ellström is an Associate Professor at Linköping University's Department of Management and Engineering (IEI) and a member of the Industrial Management (INDEK) division. He serves as Director of Studies and Degree Project Coordinator at INDEK, and participates in IL-nämndens programplanegrupp (PPG-IL). His academic email is daniel.ellstrom@liu.se . Education: No specific educational details provided in the text. Research Interests: Ellström's research focuses on market strategies, sustainable business practices, and digital transformation. He applies frameworks such as the resource-based view, resource dependence theory, and dynamic capabilities to analyze firm capabilities in areas like customer support, SME growth, and environmental sustainability. His work emphasizes how firms leverage capabilities to navigate challenges such as digital transformation and sustainable offering development. Research Contributions: His publications span topics including green marketing typologies, startup equity strategies, and synergies in sustainable food systems. Recent work highlights digital transformation dynamics and SME financing mechanisms. Grants and Labs: Affiliated with the Centre for Business Model Innovation (CBMI), which explores adaptive business models in societal changes. Collaborates with industry partners to ensure research relevance. Teaching: Responsible for courses like TEIM32 and TEIM11 in industrial marketing. Engages in educational innovation to align with industry needs.
Dr. Mehmet Gumus is a Professor of Operations Management and Academic Director of the Master of Management in Analytics (MMA) at the Desautels Faculty of Management, McGill University. He holds the Desautels Chair in Supply Chain Management and Business Analytics (2024–2029). His research focuses on supply chain dynamics, consumer behavior, and risk management, with publications in top journals like Management Science and Operations Research . Education : PhD (2007), Industrial Engineering and Operations Research, University of California, Berkeley MA (2007), Economics, UC Berkeley MS (2002), Industrial Engineering and Operations Research, UC Berkeley BSc (1997), Control Systems Engineering and Naval Science, Turkish Naval Academy Research Interests : Supply chain risk management, consumer behavior models, dynamic pricing, supply chain contracting, and mechanism design. His work integrates game theory, dynamic programming, and data analytics to address real-world operational challenges. Recent Article Trends : Recent work explores payment method impacts on urban mobility, channel profit optimization, and personalized delivery systems. Themes include sustainability, digital transformation, and ethical consumerism in retail and logistics. Awards : Bensadoun Faculty Scholar Award (multiple terms) M&SOM iFORM Best Paper Award (2015) MDIIM Faculty Fellow (2015–2017) Grants & Leadership : Principal Investigator on NSERC grants totaling CAD 400K+ for supply chain and pricing research Co-investigator in SSHRC grants for supply chain risk management and sustainable agriculture Academic Contributions : Leads the MMA program, teaches courses in operations analytics and statistics, and collaborates on initiatives like the Marcel Desautels Institute for Integrated Management.
Dennis Esch serves as Lecturer (Assistant Professor) in Marketing and Behavioural Science at Cranfield School of Management, Cranfield University, where he acts as the Strategic Marketing and Sales Group's liaison for research matters. Previously, he directed the Cranfield Customer Management Forum, one of the School's premier research practice clubs. Dr. Esch holds award-winning academic qualifications in marketing, psychology and behavioural science from Lancaster University Management School and Cranfield School of Management, establishing a strong interdisciplinary foundation for his research. His research program centers on three interconnected domains: the psychological mechanisms of brand influence in consumer decision-making, the transformative impact of emerging technologies on consumer perceptions and preferences, and the complex relationship between social consumption experiences and human happiness. Methodologically, he integrates behavioral science principles with marketing theory through quantitative approaches including experiments, field studies, and big data analysis to address questions with both theoretical significance and practical managerial relevance. Dr. Esch's publication record reveals an evolving research trajectory from foundational consumer behavior studies (2016-2019) examining product assortment effects, sports consumption impacts, and social identity dynamics, toward contemporary methodological innovations in mobile research platforms (2022-2025). His recent work demonstrates particular expertise in evaluating mobile-first platforms for crowdsourcing behavioral, advertising, and personality research, addressing critical questions about digital research validity and ecological relevance. While specific major scientific awards beyond his noted 'award-winning degrees' aren't detailed in available information, his research has been published in reputable outlets including Behavior Research Methods and Academy of Marketing Science proceedings, indicating scholarly recognition. Dr. Esch brings extensive international teaching experience across multiple contexts, having instructed postgraduate students and executives in brand management, marketing strategy, consumer behavior, and research methods in the UK, Germany, and Switzerland. His pre-academic industry background includes significant roles at Audi, Henkel, Vaillant Group, and Swiss Post, providing practical grounding for his academic work and enhancing the real-world applicability of his research findings. His research methodology reflects a commitment to bridging the gap between laboratory rigor and field relevance, particularly through his investigations of mobile research platforms that can capture authentic consumer experiences while maintaining scientific validity. This approach addresses contemporary challenges in behavioral research methodology while generating actionable insights for marketing practitioners.
Sanjith Gopalakrishnan is an Assistant Professor of Operations Management at the Desautels Faculty of Management, McGill University (since 2020), and Director of the Sustainable Growth Initiative (SGI). He holds a Ph.D. from the Sauder School of Business, University of British Columbia, and B.S./M.S. degrees in Physics from the Indian Institute of Technology, Madras. His research focuses on sustainable operations management , particularly environmental supply chain management and the intersection of climate policies with business operations. Key interests include supply chain emissions (Scope 3), policy design for carbon reduction, and fairness in multi-agent systems. He has advised organizations like Best Buy Canada and Lululemon, and contributed to urban sustainability through roles on the City of Vancouver’s Transportation Advisory Committee and Green Teams of Canada. Recent work explores international carbon mitigation transfers (Article 6 of the Paris Agreement), cooperative security in supply chains, and assortment strategies in online retail. His research has been supported by grants from SSHRC, NSERC, MITACS, and FRQSC, totaling over $400,000 in funding as Principal Investigator or Co-Applicant. Awards include the Sustainability Education Faculty Fellowship (2022) and grants for projects on bike-sharing systems, LNG industry emissions, and traceability technologies. He leads the McGill Sustainable Growth Initiative, fostering interdisciplinary research on sustainability challenges.
Ningyuan Chen is a faculty member at the University of Toronto with affiliations at the Rotman School of Management and University of Toronto at Mississauga's Department of Management. His research spans operations management with a focus on algorithmic decision-making, revenue management, and data analytics. Chen's research interests center on the intersection of algorithms and human decision-making processes, with particular emphasis on how human knowledge can safeguard and improve algorithmic recommendations. His work addresses critical challenges in commercial AI solutions where human analysts have domain-specific insights that may conflict with algorithmic outputs. He investigates conditions under which human knowledge augmentation benefits algorithmic decision-making, particularly when facing algorithmic pitfalls like lack of domain knowledge, model misspecification, and data contamination. Chen's publication trends reveal a strong focus on practical business applications of operations research, with recent work examining assortment pricing with transaction data, vaccine allocation under limited supply, and simultaneous versus sequential product release strategies. His research combines theoretical modeling with practical business implications, often collaborating with Ming Hu and other researchers at the Rotman School. His work demonstrates how data-driven approaches can be enhanced through human expertise, particularly in contexts where pure algorithmic recommendations might fail due to real-world complexities that data alone cannot capture. This research has important implications for business intelligence systems across various industries where human judgment remains critical alongside algorithmic recommendations.
