Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics
Rajkumar Venkatesan is a Professor at the Darden School of Business , University of Virginia, with expertise in marketing analytics and customer lifetime value. He teaches courses such as 'Marketing Technology Products,' 'Marketing Strategy,' and 'Marketing Analytics.' Venkatesan holds a Ph.D. in Marketing from the University of Houston and a B.E. in Computer Science from the University of Madras. Ph.D., Marketing - University of Houston B.E., Computer Science - University of Madras His research focuses on marketing analytics , customer lifetime value , mobile marketing , and the global political economy . He has published extensively in top-tier journals like The Review of Economics and Statistics , Journal of Marketing , Marketing Science , and Harvard Business Review , with notable work on AI-driven marketing strategies and CRM optimization. Venkatesan’s articles highlight trends in predictive modeling , media attribution , and AI applications in marketing. His empirical methods for CLV calculation and studies on multichannel shopping behavior have shaped modern marketing analytics frameworks. Scientific awards include the Don Lehmann Award , ISBM David T. Wilson-Sheth Award , and recognition as a top scholar by the Marketing Science Institute and Poets & Quants . He has advised firms like IBM , Johnson & Johnson , and Flipkart , developing data analytics solutions and executive education programs. Co-author of Cutting Edge Marketing Analytics , Venkatesan also contributes case studies on AI implementation (e.g., Yum! Brands , Flipkart ) and media attribution challenges. His work bridges academic rigor with industry applications, emphasizing marketing ROI and resource allocation .
Seyed M.R. Iravani is Professor of Industrial Engineering and Management Sciences at Northwestern University's McCormick School of Engineering, with courtesy appointment at the Kellogg School of Management. His research focuses on applications of stochastic processes, queuing theory, game theory, and social networks to design and control of manufacturing, service operations, healthcare systems, supply chains, and nonprofit systems. His research interests emphasize improving flexibility, coordination, and responsiveness in complex operations systems. Professor Iravani develops mathematical optimization models to analyze optimal system behavior, provide managerial insights, and create practical implementation strategies for real-world operations challenges. His work spans manufacturing systems, healthcare operations, supply chain management, service operations, and nonprofit operations. The analysis of Professor Iravani's publications reveals a consistent focus on operations management challenges across multiple domains. His research employs analytical methods including stochastic processes, game theory, queueing theory, and social networks to address problems in capacity allocation, resource management, supply chain coordination, and service system design. A notable trend is his increasing focus on healthcare operations and nonprofit systems in recent years, while maintaining strong contributions to fundamental operations management theory. Professor Iravani has served on editorial boards of leading journals including Operations Research, Management Science, Service Science, IIE Transactions, and Naval Research Logistics. He has collaborated with organizations such as GM, Ford, Motorola, GE, Northwestern Memorial Hospital, Chicago Food Depository, Facebook, and Roti Mediterranean Restaurants to improve operational performance. He teaches courses including Production Planning and Scheduling, Service Operations Management, Operations, and Operations Management for MBA students. He has also authored the textbook 'Operations Engineering and Management: Concepts, Analytics and Principles for Improvement' published by McGraw Hill in 2020, which has become a standard resource in operations engineering education.
David Reiley is an Adjunct Professor at the UC Berkeley School of Information, where he teaches Data Science 241: Experiments and Causal Inference. He is also a Distinguished Scientist at SiriusXM Pandora, where he has worked since 2020, focusing on research related to advertising and consumer behavior. Dr. Reiley received his Ph.D. in Economics from MIT in 1996 and his AB in Astrophysical Sciences from Princeton University in 1991. His academic career includes positions as Arizona Public Service Professor of Economics at the University of Arizona (2006-2009), Associate Professor of Economics at the University of Arizona (2001-2006), and Assistant Professor of Economics at Vanderbilt University (1996-2001). He has also held visiting positions at institutions including Northwestern University, the European University Institute, and the Kiev School of Economics. Dr. Reiley is a leading expert in field experiments in economics, having helped popularize their use in the discipline. His research focuses on advertising effectiveness, auction theory, charitable giving, and electronic commerce. He has conducted numerous field experiments to measure the effects of online advertising, particularly during his time at Yahoo! Research (2007-2012) and Google (2012-2015). His work has demonstrated how field experiments can provide valuable insights into consumer behavior that traditional observational methods cannot capture. Dr. Reiley has received several prestigious awards including the Distinguished Faculty Award from UC Berkeley School of Information (2016) and the Dick Wittink Prize for the best paper published in Quantitative Marketing and Economics (2015). He was also honored with Yahoo!'s Super Star Award, the company's highest honor for employees, in 2009. As an educator, Dr. Reiley has been instrumental in developing courses on field experiments and experimental methods. He has advised numerous students and collaborated with researchers across various institutions. His textbook "Games of Strategy" (co-authored with Avinash Dixit and Susan Skeath) is widely used in game theory courses.
Periklis Andritsos is an Associate Professor at the University of West Attica's Department of Informatics and Computer Engineering. Previously, he served as an Assistant Professor at the University of Toronto's Faculty of Information (iSchool). He holds a PhD in Computer Science from the University of Toronto (2004), with postdoctoral research under Professors Renée J. Miller and Kenneth C. Sevcik. His research focuses on data clustering, process mining, customer journey analytics, and database design. He co-founded Thoora Inc. (winner of TechCrunch 50 2009) and Odaia.ai, applying his work to real-world applications in banking and urban transport systems. Education: PhD in Computer Science, University of Toronto (2004); MEng from National Technical University of Athens (Diploma in Electrical & Computer Engineering). Awards: Multiple Best Paper Awards (ICPM 2021, ADBIS 2019), TechCrunch 50 Award, and recognition in industry collaborations with institutions like the National Bank of Denmark and Lausanne Municipality. Research Interests: Process mining for customer journey mapping, categorical data clustering (notably the LIMBO algorithm), and applications in sales process optimization, data warehousing, and entity lifecycle management. Service: Program committee roles at EDBT, SIGMOD, KDD, and other conferences; editorial contributions to journals and special issues. His work on LIMBO remains a benchmark in categorical clustering, while recent efforts in process mining have pioneered customer journey analytics. He actively engages with industry, notably through Odaia.ai's application of his research in customer journey mapping tools.
Francesco Gallmann is a Senior Lecturer in Operations and Technology at SDA Bocconi School of Management and a Contract Professor at Università Bocconi. He specializes in Operations and Supply Chain Management, with a focus on performance measurement, LEAN management, logistics, and global SCM. His research addresses drivers of operational excellence and effectiveness of performance assessments in supply chains. He has developed executive education programs for multinational firms and won the SDA Bocconi Innovation Award (2008-2009) for LEAN Study Tours in Japan. Education: Ph.D. in Management, University of Neuchâtel (Switzerland) MBA, SDA Bocconi School of Management Environmental Engineering, Politecnico di Milano Research Interests: Gallmann’s work emphasizes practical applications in operations and supply chain management. His studies explore: Performance measurement systems aligned with competitive strategies LEAN and agile supply chain practices Global SCM collaboration and sourcing strategies Logistics optimization and inventory management Awards: SDA Bocconi Innovation Award (2008, 2009) Excellence in Innovation Award (2019, 2022) Teaching & Consulting: He designs customized programs for industries like automotive, food, and energy. His roles include Visiting Professorships at Klagenfurt University (Austria), IBSS Suzhou (China), and HEC Lausanne (Switzerland). He actively contributes to APICS and EUROMA networks. Labs & Teams: Leads educational initiatives such as the LEAN Study Tours and Supply Chain Academies for multinational corporations.
Scott Wysong is an Associate Professor of Marketing at the Gupta College of Business, University of Dallas. He holds a PhD and MBA from the University of Texas at Arlington, and a BA in Economics from Vanderbilt University. His research focuses on branding, customer service, and sports marketing, with notable work exploring mega-event volunteer satisfaction, brand personality, and environmentally friendly sports venues. He has conducted research for over 100 firms, including economic impact studies for major events like the Taylor Swift '1989' Concert and Garth Brooks concerts. Education: PhD and MBA in Marketing, University of Texas at Arlington BA in Economics, Vanderbilt University His research interests span branding strategies, customer engagement in retail environments, and the intersection of sports events with fan satisfaction and sustainability. Recent work emphasizes innovative teaching methods, such as simulations in business courses to enhance student engagement. Dr. Wysong is an active member of the International Association of Venue Managers (IAVM) since 2002 and has prior experience as Director of Operational Audits for Osteopathic Health System of Texas. His publications highlight trends in experiential learning, sports venue management, and cross-cultural SME financing. Though no formal awards are listed, his contributions to applied marketing research and industry collaborations underscore his scholarly impact. Teaching focuses on foundational marketing principles and capstone consulting projects, emphasizing real-world applicability. Dr. Wysong advises students through courses like MARK 5F50 (Foundation of Marketing) and BUAD 8390 (Capstone Consulting). His research partnerships include economic impact analyses for festivals, sports events, and concerts, demonstrating a commitment to bridging academic research with practical industry needs.
Jennifer Jie Zhang is the Daniel Himarios Endowed Chair Professor of Information Systems in the College of Business at the University of Texas at Arlington , within the Department of Information Systems and Operations Management . She earned her Ph.D. in Computer Information Systems from the University of Rochester in 2003, preceded by an M.S. in Management Science from the same university and a B.E. in Engineering Economics from Tianjin University . Her research interests lie at the intersection of information systems, digital marketing, and AI applications , focusing on: Social Media & Networks : Impact on business and consumer behavior. AI in Business & Healthcare : Analytical and empirical studies. Digital Marketing : Online channel strategies, pricing, and advertising. Crowdsourcing & Innovation : Tournament design and team dynamics. Privacy & Ethics : Consumer data protection and market mechanisms. Her recent publications (2021-2024) emphasize real-time analytics in meal delivery, AI-driven insights for fitness apps, and social media dynamics affecting box office performance. These works highlight her expertise in leveraging big data for operational and strategic decision-making. Awards & Honors: Daniel Himarios Endowed Chair Professorship (2021-present). Best Paper Awards/Runner-ups at ICIS, WITS, HICSS, and AMCIS. Distinguished Research Publication Awards from UTA and College of Business. NSF-funded grants including "Convergence Accelerator Pilot: Credible Open Knowledge Network" ($999,870). Advising & Grants: PhD Chair/Co-Chair for 6+ students (e.g., Siddhi Nair, Jiang Hu). Committee Member for 10+ doctoral candidates. Undergraduate/Master’s Advisor for capstone and thesis projects. Principal/Co-Investigator on federal grants (NSF, totaling ~$1M). Labs & Teams: Leads research initiatives in Web Analytics and Digital Enterprise Management , collaborating with interdisciplinary teams across UTA’s College of Business and external partners (e.g., industry sponsors, international workshops).
Prof. Dr. Andreas Fürst is Professor and holds the Chair of Business Administration, especially Marketing at the Friedrich-Alexander University Erlangen-Nuremberg (FAU) within the Department of Business, Economics, and Social Sciences. He has established himself as a leading researcher in marketing with a focus on customer relationship management, sales strategies, and business-to-business contexts. His educational background includes business administration studies at multiple prestigious institutions: University of Erlangen-Nuremberg University of Eichstätt-Ingolstadt University of California at Los Angeles (USA) Udayana University of Denpasar (Indonesia) Prof. Fürst's research primarily centers on customer relationship management, sales and product management, business-to-business marketing, and international marketing. His work emphasizes understanding customer behavior, value creation mechanisms, and effective multichannel management strategies. He has made significant contributions to the understanding of how organizations can create superior customer value through strategic marketing approaches and channel optimization. His publication record shows a clear evolution toward contemporary marketing challenges including digital transformation, AI in service recovery, product complexity effects, and marketing in new ventures. His research consistently bridges theoretical frameworks with practical applications, particularly in business-to-business contexts and international markets, demonstrating how marketing activities impact organizational success across different channels and customer segments. As President of the German Marketing Excellence Network since 2010, Prof. Fürst has extended his influence beyond academia into the broader marketing community, fostering connections between research and practice.
Joachim Arts is a Full Professor at the University of Luxembourg in the Faculty of Law, Economics and Finance , Department of Economics and Management. He is affiliated with the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and holds visiting positions at MIT Sloan School of Management and Eindhoven University of Technology. His research focuses on operations research applications in supply chain management, logistics, maintenance optimization, and business analytics, often collaborating with companies like ASML and Philips. He has published extensively in top journals such as Operations Research and European Journal of Operational Research . Dr. Arts holds a European Doctoral Dissertation Award (EURO) and a Veni Career Grant from the Netherlands. His work emphasizes practical applications, including inventory systems, maintenance scheduling, and sustainability in supply chains. He previously served as an Assistant Professor at TU Eindhoven and a visiting scholar at MIT. His research bridges theoretical models with real-world industry challenges. Awards : European Doctoral Dissertation Award (201?), Veni Career Grant (201?) Visiting Appointments : MIT Sloan, TU Eindhoven Key Focus Areas : Lost sales inventory systems, condition-based maintenance, green logistics, and service parts optimization His recent work explores profitability-sustainability trade-offs in chemical value chains and dynamic supply mode selection for emission reduction. He leads initiatives in data-driven maintenance strategies and multi-echelon inventory systems.
Jaewook Kim is a faculty member at the University of Houston’s College of Global Hospitality Leadership. Holding a Ph.D. in Hospitality Management from Iowa State University, he specializes in hospitality and tourism geography, spatial analysis, casino and gaming management, and entrepreneurship within the sharing economy. His educational background includes a B.B.A. from Sejong University (South Korea) and an M.S. in Hotel and Restaurant Management from the University of Houston. Research Interests: Hospitality and tourism geography with spatial analysis Entrepreneurship in the sharing economy (e.g., Airbnb, agritourism) Environmental sustainability practices in economy hotels and integrated resorts Crisis management in the restaurant industry (e.g., post-COVID-19 adaptation) Linguistic and behavioral economics in crowdfunding and online marketing Publication Trends: His work spans topics like ESG measurement for integrated resorts, spatial effects on P2P accommodation pricing, and health risk-driven changes in restaurant delivery consumption. Recent studies focus on digital transformation and sustainability in hospitality. Contact: Email jkim65@uh.edu .
Dr Ting Yu is an Associate Professor in Marketing at the University of New South Wales , specializing in the intersection of artificial intelligence and healthcare service delivery . With professional experience across Australia, Switzerland, and Singapore as a Lecturer , Product Research and Development Manager , and Market Research Consultant , she combines academic rigor with industry insights. Education: PhD in Marketing, University of New South Wales Master of Management in Marketing, Monash University Her research focuses on organizational ambidexterity (balancing service/sales and efficiency/flexibility), relationship termination management , and consumer emotion dynamics . Her work explores how AI-driven service systems can enhance healthcare delivery while maintaining ethical customer relationships. Scientific awards include Non-Professorial Research Achievement Award (UNSW) AMA Selling and Sales Management SIG Best Dissertation Award (First Runner-Up) Sasakawa Young Leaders Fellowship Centre for Applied Marketing Research Scholarship (UNSW) UNSW Business School Research Scholarship European Marketing Academy Conference Bursary Current teaching responsibilities include MARK2053 Marketing Communications , MARK2055 Service Marketing , and postgraduate research methods courses. Contact: ting.yu@unsw.edu.au
Mark Ferguson serves as Associate Dean for Accreditation and Strategic Planning and Dewey H. Johnson Professor of Management Science at the University of South Carolina's Darla Moore School of Business. Previously the Steven Denning Professor at Georgia Tech's College of Management, his career spans over two decades in academia following five years as an IBM manufacturing engineer. His educational credentials include: Ph.D. in Business Administration (Operations Management), Duke University (2001) M.S. in Industrial Engineering, Georgia Tech (1994) B.S. in Mechanical Engineering, Virginia Tech (1991) Ferguson's research centers on supply chain sustainability , with pioneering work on product leasing environmental impacts , pricing-revenue management interfaces , and closed-loop supply chains . His investigations into contract design for supply chain efficiency and sustainable operations have reshaped industry practices. Recent publications demonstrate expanding expertise in healthcare operations and analytics education, maintaining theoretical rigor while addressing real-world business challenges through empirical methodologies. Analysis of his 2022-2025 publications reveals consistent focus on sustainable operations and revenue management, with growing interdisciplinary applications in healthcare, retail, and transportation. His work increasingly integrates business analytics with operational strategy, particularly in educational contexts, while maintaining strong methodological foundations in choice modeling and optimization. His scientific recognition includes: Management Science Best Operations Management Paper Award (2012-2014) for environmental impact of product leasing research Two Production and Operations Management Society (POMS) Best Paper Awards Ferguson has secured three National Science Foundation research grants and coauthored influential texts including Segmentation, Revenue Management and Pricing Analytics and Closed Loop Supply Chains . His professional leadership includes presidencies of the INFORMS Manufacturing and Services Operations Management Society, POMS College of Supply Chain Management, and INFORMS Revenue Management and Pricing Section. As Director of the Center for Applied Business Analytics, he drives analytics integration across the Moore School curriculum. His current initiatives focus on sustainable supply chain transformation through the Center for Applied Business Analytics, developing next-generation analytics competencies for business students while advancing research on operational sustainability across multiple industries.
Dr. Ammar Al-Bazi is an Associate Professor in Operations and Supply Chain Simulation at Aston Business School, part of the College of Business and Social Sciences at Aston University. He holds a PhD in Simulation and Optimization from Teesside University and an MSc in Statistics and Operational Research from the University of Baghdad. He is a Senior Fellow of the Higher Education Academy (SFHEA) and has led multiple funded projects, including those supported by Innovate UK and the European Regional Development Fund (ERDF). His research focuses on applying simulation, optimization, AI, and digital technologies to solve real-world challenges in logistics, energy, and manufacturing. Education: PhD in Simulation and Optimization, Teesside University (UK) MSc in Statistics and Operational Research, University of Baghdad (Iraq) BSc (Honors) in Operational Research, Al-Mansour College University (Iraq) Research Interests: Simulation and optimization techniques for supply chain management Energy efficiency and demand-side management Transportation and logistics optimization (including drones) Artificial Intelligence applications in manufacturing and healthcare Risk mitigation and disruption management in operations Recent Article Trends: Dr. Al-Bazi's recent work emphasizes digital twin technology, IoT integration in energy systems, and resilience in supply chains. His studies often combine machine learning with traditional optimization methods to address challenges like emissions prediction, consumer behavior modeling, and pandemic logistics. Awards and Roles: Senior Fellow of the Higher Education Academy (SFHEA) External Examiner for PhD programs at multiple universities Editorial board member of journals like Supply Chain Analytics and Journal of Information and Communication Technology Grants and Funding: £39,751 (Innovate UK) for dynamic railway contaminant control barriers £202,308 (KTP, Innovate UK) for collaboration with The Birmingham Assay Office Multiple KEEN and KTP projects focusing on SME performance improvement Advisory and Teaching: He supervises PhD students on topics like behavioral decision-making in healthcare logistics and renewable energy integration. He teaches courses in operations management, simulation for project management, and business analytics.
John W. Byers is a Professor in the Department of Computer Science at Boston University since 1999. He holds dual roles as Founding Chief Scientist and Board Member at Cogo Labs (founded in 2005 as Adverplex, Inc.), where he oversees technology platforms for online advertising and data science analytics. His research bridges theoretical computer networking with empirical studies of Internet platforms like Airbnb and Groupon. Education: Ph.D. in Computer Science from U.C. Berkeley. Research Focus: Byers explores algorithmic challenges in transport protocols, network architecture design, and the sharing economy's economic impacts. His work on platforms like Airbnb and Groupon examines reputation systems, user behavior, and market dynamics. Recent projects include liquid wireless networking for rural applications and optimizing ride-hailing fleet coordination. Publications: Over 50 peer-reviewed articles spanning network architecture (e.g., XIA), streaming systems (liquid transport protocols), and sharing economy analyses. Key themes include data-driven experimentation and cross-disciplinary solutions for evolving internet challenges. Industry Engagement: Cogo Labs incubates tech startups leveraging his research in algorithmic marketing and data analytics. Byers' work frequently bridges academia and industry, addressing real-world scalability and economic factors in digital ecosystems.
