Rehan Syed is a Professor at Queensland University of Technology's School of Information Systems within the Faculty of Science and Engineering. His research focuses on Business Process Management (BPM), Robotic Process Automation (RPA), and Process Mining, with significant contributions to understanding digital transformation challenges in public and healthcare sectors. He has authored/co-authored over 35 peer-reviewed publications in top journals and conferences like BPM, HICSS, and ECIS. Key areas of expertise include leadership in IT initiatives, healthcare data quality, and low-code adoption strategies. Recent work emphasizes RPA's impact on organizational processes and knowledge retention. His research bridges academic theory with practical implementation, often collaborating with institutions like UN agencies and healthcare organizations. Publications span case studies in developing countries, systematic reviews, and curriculum development frameworks for BPM education. His work is cited across disciplines, reflecting its relevance to both academia and industry.
Professor Chee Yew Wong is a leading academic in supply chain management at Leeds University Business School (LUBS), where he holds the position of Professor and serves as Director for Research & Innovation in the Analytics, Technology and Operations department. He previously held a Chair in Logistics and Supply Chain Management at Hull University Business School and has served as a visiting professor in Thailand and China. His work bridges academia and industry, with over nine years of professional experience in operations and supply chain roles across multinational corporations and SMEs. His educational background includes a PhD in Supply Chain Management from Aalborg University, Denmark; an MSc in Manufacturing Management from Linköping University, Sweden; a BEng in Mechanical Engineering from the University of Technology, Malaysia; and a PG Certificate in Higher Education from Hull University, UK. Professor Wong's research centers on intelligent, responsible, and sustainable solutions for global supply chains. Key interests include digital supply chains, supply chain analytics, green logistics, human rights in supply chains, resilience, and circular economy models. He leverages technologies such as blockchain, machine learning, and IoT to enhance transparency, integration, and performance in complex supply networks. The analysis of his recent publications reveals a strong trend toward digital transformation, sustainability, and ethical governance in supply chains. His work increasingly emphasizes data-driven decision-making, environmental and social risk assessment, and the role of technology in enabling responsible global sourcing. Many projects focus on real-world applications in industries such as healthcare, fashion, retail, and manufacturing, often through Knowledge Transfer Partnerships with industry leaders. Best Reviewer Award, Operations and Supply Chain Management Division, Academy of Management Conference, Chicago, USA (2018) Prof. Xiande Zhao's Best Paper Award, International Conference on Operations and Supply Chain Management, Kaifeng, China (2017) Finalist for the Jack Meredith Best Paper Award, Academy of Management Conference, Anaheim, USA (2016) Emerald Best Paper Award, Supply Chain Management: an International Journal (2006) Professor Wong has successfully supervised 10 PhD students and 4 post-doctoral researchers, and has examined over 15 PhD dissertations internationally. He leads multiple research grants, including projects funded by Innovate UK, UKRI, ESRC, and the British Council, focusing on digital transformation, human rights, and green supply chain innovation. His collaborations span academia, government, and industry, demonstrating a strong commitment to impactful, applied research. He is actively involved in the Centre for Operations and Supply Chain Research, the Adaptation Information Management and Technology group, and the Centre for Decision Research at LUBS. These research groups support interdisciplinary work in analytics, digital technologies, and sustainable operations, fostering innovation and knowledge exchange across sectors.
Tridas Mukhopadhyay is the Deloitte Consulting Professor of e-Business at Carnegie Mellon University's Tepper School of Business, where he has served on the faculty since 1986. His academic journey at CMU progressed from Instructor of Information Systems (1986-1987) to Assistant Professor (1987-1993), Associate Professor (1993-1997), Professor (1998-present), and Deloitte Consulting Professor of e-Business (2000-present). He also served as Director of the MS in Electronic Commerce program from 1999-2004. Ph.D. in Computer and Information Systems, University of Michigan–Ann Arbor, 1987 M.B.A. in Computer and Information Systems, Indian Institute of Management Calcutta, 1981 B. Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1978 Professor Mukhopadhyay's research spans multiple critical areas in information systems and technology management. His work on strategic IT use examines how organizations derive business value from information technology investments. He has conducted extensive research on business-to-business commerce, particularly focusing on e-procurement systems, web-based marketplaces, and electronic intermediation models. His cybersecurity research investigates the economic aspects of cyber security, including liability mechanisms and patch release strategies. In software engineering, he has studied productivity, quality metrics, and offshore software development contracts. His most recent publications reveal several key trends in his research trajectory. There's a growing focus on digital platform economics, examining advertising models, virtual currency systems in gaming, and sharing economy dynamics. His work increasingly incorporates behavioral aspects, studying how users respond to personalized content and how backers exert control in crowdfunded projects. Methodologically, his research employs sophisticated analytical approaches including hierarchical Bayesian models, structural equation modeling, and natural experiment designs. CART Research Frontier Award, Carnegie Mellon, 2005 Distinguished Ph.D. Alum, Michigan Business School, 2004 Best Paper, International Conference on Information Systems, 2001 Best Paper, MIS Quarterly, 1995 Xerox Research Chair, Tepper School of Business, 1988-1989 Information Systems Society Distinguished Fellow, 2012 Professor Mukhopadhyay has served on numerous editorial boards including Information Systems Research (1994-2003), Management Science (1999-2003), and MIS Quarterly (1997-1999), demonstrating his significant contributions to the field. His consulting work with major organizations including Alcoa, Chrysler, Ford, General Motors, IBM, and governmental agencies like the United States Post Office and Pennsylvania Turnpike has provided practical insights that inform his academic research. He has been actively involved in university governance through committee service including the Business Technology Faculty Search Committee and the CMU Faculty Senate. His research has been supported through various industry partnerships and academic grants, though specific grant details aren't provided in the source material. His teaching focuses on Business Computing and Strategic IT courses, reflecting his expertise in both foundational information systems concepts and strategic applications of technology in business contexts.
Pardis Pishdad is an Associate Professor and Graduate Program Director in the School of Building Construction at Georgia Institute of Technology’s College of Design. She directs the Smart Built Environment Eco-System (Smart Bees) Laboratory, focusing on integrating cyber-physical systems, digital twins, and innovative project delivery methods (e.g., IPD, Flash Tracking) for sustainable built environments. Her research bridges technology adoption, trust-building in construction contracts, and supply chain optimization. Education: PhD, Environmental Design and Planning (Virginia Tech) Master’s Degrees: Civil Engineering (Virginia Tech), Design Studies in Project Management (Harvard), Architecture (University of Tehran) Bachelor’s in Architectural Engineering (Azad University of Shiraz) Research Interests: Her work emphasizes sustainable construction practices using IoT, BIM, and blockchain. Key areas include lifecycle cost analysis, lean construction, and smart building technologies. She explores trust dynamics and collaboration in construction projects through game theory and process optimization. Recognition: 2018 ENR Top 20 Under 40 Professionals 2016 CII National Outstanding Researcher Award 2020-2022 Georgia Tech Provost Teaching Learning Fellow Advisory Roles: Academic Advisor for CII’s Supply Chain Management Community, Vice Chair of BuildingSMART’s BIM Forum 5D Taskforce. Formerly advised the Construction Management Association of America’s Board (2016–2018). Industry Collaboration: Partnerships with Turner Construction, GDOT, and VDOT. Research on Flash Tracking and blockchain has been integrated into industry practices. Labs & Teams: The Smart Bees Lab pioneers cyber-physical systems for smart buildings, exploring AI-driven solutions and sustainable construction frameworks.
Malgorzata Agnieszka Cyndecka is a Professor at the Faculty of Law, University of Bergen (UiB) , where she specializes in EU/EEA state aid law and data protection/GDPR. She is affiliated with SLATE (Centre for the Science of Learning & Technology) and serves as a member of the Norwegian Data Protection Board. Since 2019, she has been Associate Editor of the European State Aid Law Quarterly . She also holds an Associate Professor II position at the University of Oslo and contributes to interdisciplinary research on AI, privacy, and education. University: University of Bergen School: Faculty of Law Academic Rank: Professor Email: malgorzata.cyndecka@uib.no Affiliations: SLATE, Norwegian Data Protection Board, Council of Europe Expert Group on AI and Education Her research centers on EU/EEA state aid rules —particularly their application in tax, energy, and education sectors—and data protection law , with a focus on GDPR compliance in AI-driven educational technologies. She has led and contributed to major projects such as the Norwegian Data Protection Authority’s Sandbox for Responsible AI (AVT project), where she provided legal guidance on processing student data, and UiB’s DIGI courses, where she co-developed DIGI113 on Privacy and GDPR. Her work bridges legal theory with practical policy, influencing national and international frameworks on digital rights and public aid. The analysis of her recent publications reveals a strong focus on the evolution of state aid jurisprudence , especially the Market Economy Operator Principle (MEOP), burden of proof in aid cases, and sustainability in public support. Concurrently, her interdisciplinary work explores AI and privacy challenges in education , anonymization of unstructured data under GDPR, and ethical implications of algorithmic decision-making. Her contributions span legal doctrine, policy recommendations, and public commentary. Scientific Awards: European State Aid Law Quarterly PhD Award (2012–2016) for best doctoral dissertation in state aid law Advising and Grants: She supervises master’s students in EU/EEA law, data protection, and GDPR. She has been involved in externally funded projects including the Norwegian Data Protection Authority’s Sandbox for Responsible AI, the ENDO4P project (aimed at personalized endocrinology treatment via EU Horizon funding), and the Clean Up Project (Machine Learning for Anonymisation of Unstructured Personal Data) at the University of Oslo. She has also coordinated collaborations with Media City Bergen for law and technology education. Her teaching includes course leadership in JUS2302, JUS3502, JUS2303, JUS3503, and DIGI113. Labs and Teams: She is a key member of SLATE (Centre for the Science of Learning & Technology) at UiB and participates in multiple research groups including the Research Group for Information and Innovation Law. She contributes to interdisciplinary teams working on digital competence, AI ethics, and data governance in education and health. She is also active in the Academy for Young Researchers (AYF) and leads the EU and EEA Law Issues Committee in the Norwegian branch of the International Commission of Jurists (ICJ).
Xinlin Tang is an Associate Professor at the College of Business, Florida State University (FSU), and serves as Doctoral Coordinator for the Management Information Systems (MIS) Ph.D. program. She teaches core and elective IS courses at both undergraduate and graduate levels, including information technology management and IT project management. Education : Ph.D. in Computer Information Systems (Georgia State); M.S. in MIS (University of South Carolina); M.A. in English Literature (Beijing Foreign Studies University); B.S. in Architecture (Tsinghua University). Her research focuses on the intersection of information system strategy and interorganizational relationship management . Key themes include IT-enabled governance, innovation, knowledge management, and digital intermediation. She has published in top journals such as Information Systems Research , Journal of Operations Management , and IEEE Transactions on Engineering Management . Selected publications highlight her work on IT-enabled business models, supplier portfolio dynamics, structural embeddedness in B2B networks, and e-procurement innovation. Her research often bridges theoretical frameworks with empirical validation in digital transformation contexts. Scientific Awards : Co-PI for NSF China Junior Faculty Research Grant ($26,000) Winner of 2006 Harriet Fulbright Dissertation Grant ($10,000) Nominated for FSU Teaching Award (2008, 2011) She has contributed to the academic community through editorial reviews and curriculum development for MIS programs.
Dr. Carolin Vollenberg serves as a Post-Doctoral Researcher at the Chair of Information Systems & Transformation Management within the Faculty of Computer Science at the University of Duisburg-Essen (UDE). Her academic journey includes a PhD from the University of Muenster (2021-2025), an M.Sc. in Technical Consulting and Management from Hochschule Hamm-Lippstadt (2018-2020), and a B.Eng. in Biomedical Technology from the same institution (2014-2018). Prior to her current position, she worked as a Research Assistant at South Westphalia University of Applied Sciences and gained industry experience at Zapp Systems GmbH. PhD in Business Informatics (2021-2025), University of Muenster M.Sc. Technical Consulting and Management (2018-2020), Hochschule Hamm-Lippstadt B.Eng. Biomedical Technology (2014-2018), Hochschule Hamm-Lippstadt Research Focus: Vollenberg specializes in the governance of lightweight IT systems, digital transformation in public and healthcare sectors, and process mining applications. Her work bridges technical implementation with organizational behavior, particularly examining resistance to automation in sensitive domains like healthcare. She investigates how organizations navigate unintended consequences of technology adoption, with emphasis on RPA (Robotic Process Automation), omnichannel transformation, and data-driven process optimization. Her research methodology combines ethnographic field studies with quantitative process analysis. Publication Trends: Analysis of her 16 publications (2020-2025) reveals strong focus on healthcare IT (45% of works), public sector digitalization (30%), and foundational process management (25%). Recent output shows increasing emphasis on ethical dimensions of process mining and sustainability applications. Her collaborative work spans multiple European institutions with consistent publication in top IS conferences (ICIS, ECIS, HICSS). Best Paper nomination at HICSS-55 (2022) Associate Editor for General Track at Internationale Tagung Wirtschaftsinformatik (WI) 2025 Professional Engagement: Vollenberg actively contributes to academic discourse through editorial roles and peer review. Her industry collaborations with healthcare providers and public sector entities demonstrate applied research impact. Current projects examine virtual nursing transformations and crisis-responsive RPA implementations, reflecting her commitment to solving real-world operational challenges through information systems innovation.
Dr. Farshid Rahmani is a Lecturer at the School of Property, Construction and Project Management (PCPM), RMIT University, Australia. His research and teaching focus on Construction Procurement , Relational Contracting , and Agile Project Management . He supervises Masters and PhD students in areas including Early Contractor Involvement (ECI) Alliances Public-Private Partnerships (PPP) Collaborative Delivery Systems . His recent publications explore agile frameworks for building adaptation, sustainable materials like recycled concrete, and team dynamics in large infrastructure projects. Key themes include modular construction , project lifecycle management , and innovative material usage . He actively applies Grounded Theory and Abductive Reasoning in construction management research.
Henrik Haller is an Associate Professor at Mid Sweden University, affiliated with the Department of Natural Sciences, Design and Sustainable Development (NDH). His work integrates environmental science with practical applications in tropical regions, particularly focusing on land use, soil remediation, and sustainable food systems. Academic Title: Doctor of Philosophy Location: Östersund, Sweden Key Research Areas: Multifunctional land use, bioremediation, agroforestry, and sustainable development in the Global South Haller's research emphasizes transforming environmental challenges into opportunities. His work includes: Bioremediation of heavy-metal-contaminated soils using amaranth plants Urban agriculture potential in Swedish cities Life cycle assessments of cold-weather aquaponic systems Waste valorization strategies for contaminated lignocellulose sediments Universal design approaches to zero-waste communities Industrial symbiosis for local food systems He has ongoing projects in urban farming, wastewater resource recovery, and sustainable behavior transformation. His publications span topics from fungal metal tolerance to policy challenges in environmental governance.
Chen Zhi is an Assistant Professor in the Department of Analytics and Operations at the NUS Business School, National University of Singapore, where he has been employed since July 2020. His academic work focuses on operational challenges in innovation-driven value chains, with particular expertise in new product development, innovation sourcing, AI economics, and wisdom of crowds methodologies. Dr. Chen received his Ph.D. in Management (Decision Sciences) from INSEAD (2014-2020) and his B.E. with First Class Honors in Industrial and Systems Engineering from the National University of Singapore (2009-2013). During his academic journey, he completed an overseas exchange at the Georgia Institute of Technology and a research internship at École Polytechnique in France. Chen's research spans two primary streams. The first addresses R&D phase challenges in new products, examining how firms can optimally design supplier bases and informational policies to procure innovation from suppliers, with recent focus on policy impacts on AI-based product development such as autonomous vehicles. The second stream investigates demand forecasting for new products, exploring how to aggregate diverse expert insights into consensus forecasts and quantify underlying uncertainty through obtained forecasts. His publication record demonstrates a strong trajectory in top-tier operations and management journals, with recent work appearing in Management Science, Manufacturing & Service Operations Management, and International Journal of Forecasting. Chen's research shows increasing focus on AI development challenges, uncertainty quantification in forecasting, and strategic approaches to innovation sourcing in complex technological environments. At NUS Business School, Chen teaches Managerial Operations and Analytics for the MBA program and Decision Analytics Using Spreadsheets for undergraduate students. Previously at INSEAD, he taught tutorials for Uncertainty, Data and Judgment, and Production and Operations Management courses.
Gordon Kingsley is a Professor and Director of Graduate Studies in the School of Public Policy at Georgia Institute of Technology (Georgia Tech). He specializes in public management, policy implementation, STEM education policy, and transportation policy. His research focuses on inter-sector partnerships and their impact on organizational structure and human capital development, with a focus on STEM education and transportation privatization. He has consulted for numerous U.S. government agencies and authored over 100 peer-reviewed articles and reports. Education includes a Ph.D. in Public Administration from Syracuse University, an M.S. in International Affairs from Columbia University, and a B.A. in International Affairs and Economics from American University. Research interests span policy processes, public management innovation, and the evaluation of partnerships in STEM education and infrastructure. Notable works include studies on renewable energy policy in Europe, adaptive management in environmental regulation, and contracting practices in transportation agencies. Teaching responsibilities include courses such as PUBP-3230 (STEM Education Policy), PUBP-6012 (Fundamentals of Policy Processes), and PUBP-8520 (Scope & Theory of Public Policy). He has advised multiple state and federal agencies on policy implementation and contracting strategies. Key projects include evaluations of the Georgia Department of Transportation’s consultant management systems and the development of frameworks for public-private partnerships. His work emphasizes practical solutions for improving governance efficiency and stakeholder collaboration.
Thayer Morrill is a Professor of Economics at North Carolina State University, holding a position in the Department of Economics. He earned his Ph.D. from the University of Maryland in 2008 and specializes in Market Design, School Assignment, and Auction Theory. He actively contributes to the Economics Graduate Program and teaches EC 468, a Game Theory course with comprehensive self-developed materials. Education: Ph.D. in Economics, University of Maryland, 2008 Professor Morrill's research centers on Market Design applications in school choice and auction theory, developing novel mechanisms for efficient and fair resource allocation. His work bridges theoretical game theory with empirical analysis, examining strategic behavior in school assignment systems, kidney exchange programs, and procurement auctions. Key methodological contributions include characterizations of matching algorithms like Top Trading Cycles and Deferred Acceptance. His publication history (2010-2022) reveals consistent focus on matching theory and market design across leading journals including Journal of Economic Theory and American Economic Journal. Recent work analyzes ranking mechanisms in competitive processes (2022), while earlier research established foundational characterizations of matching algorithms. His interdisciplinary approach connects theoretical rigor with real-world applications in education and healthcare markets. Scientific Awards: No awards listed Advising and Grants: The provided documentation contains no details regarding student advising activities or grant funding. His research collaborations include prominent economists such as Umut Dur, Pete Troyan, and Robert Hammond across multiple publications.
Andrew B. Whinston is the Hugh Roy Cullen Centennial Chair in Business Administration and Professor at the Red McCombs School of Business, The University of Texas at Austin, with additional appointments in Computer Science and Economics. He directs the Center for Research in Electronic Commerce and holds the John Newton Centennial IC2 Fellowship, while serving as editor for Decision Support Systems and Organizational Computing, and Electronic Commerce journals. His research centers on Artificial Intelligence applications in E-Commerce and Information Systems, with current focus on electronic commerce dynamics. Key interests include identity management, reputation systems, sentiment analysis in social media, location-based networks, and the economic implications of the New Economy. His interdisciplinary work bridges business administration, computer science, and economics to address digital marketplace challenges. Recent publications reveal strong emphasis on empirical analysis of digital platforms, exploring auction mechanisms for network resources, tradable reputation systems, social influence in location-based networks, and manipulation of sentiment in online environments. These works demonstrate methodological diversity spanning computational modeling, behavioral experiments, and big data analytics applied to real-world e-commerce scenarios. Major recognitions include: Career Research Excellence Award from University Co-op (2015) Career Award for Outstanding Research Contribution at UT Austin (2009) LEO Award for Lifetime Exceptional Achievement in Information Systems (2005) Ford Foundation Faculty Research Fellowship (1966) No information regarding student advising or specific grant funding was provided in source materials. As Director of the Center for Research in Electronic Commerce, Whinston leads interdisciplinary initiatives advancing theoretical frameworks and practical applications for digital marketplaces, fostering collaboration between academia and industry stakeholders in e-commerce innovation.
Marzyeh Ghassemi is an Associate Professor at MIT in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Medical Engineering & Science (IMES). She also holds a Canadian CIFAR AI Chair and is a faculty member at the Vector Institute. Her affiliations include the Jameel Clinic and CSAIL. Dr. Ghassemi's work focuses on ethical AI, algorithmic fairness in healthcare, and mitigating bias in medical datasets. She has pioneered projects analyzing racial disparities in end-of-life care, vocal disorder diagnosis using accelerometers, and improving subgroup robustness in machine learning. Education: PhD in Computer Science, MIT MSc in Biomedical Engineering, University of Oxford (Marshall Scholar) B.S. in Computer Science and Electrical Engineering, New Mexico State University (Goldwater Scholar) Research Interests: Her work bridges AI and healthcare, emphasizing fairness, reproducibility, and ethical deployment. Key areas include: - Algorithmic Fairness: Addressing biases in medical imaging and clinical decision systems. - Bias Mitigation: Developing methods to decorrelate sensitive information from predictions. - Health Equity: Studying disparities in end-of-life care and organ procurement. - Generative AI: Applications in mental health and medical imaging. Publications: Her recent work highlights challenges in vision-language models (e.g., handling negation), regulatory gaps in health AI, and bias reduction techniques. These efforts aim to ensure AI systems are both accurate and equitable in clinical settings. Awards: Herman L. F. von Helmholtz Career Development Professorship CIFAR Azrieli Global Scholar MIT Tech Review’s 35 Innovators Under 35 Canada Research Chair Leadership & Impact: She co-chaired the NeurIPS Workshop and founded the Association for Health Learning and Inference. Her projects like Quantifying Racial Disparities in End-of-Life Care reveal systemic biases in ICU treatments. She advocates for transparent AI deployment through frameworks like FUTURE-AI and TRIPOD+. Labs & Teams: Leads MIT’s HealthyML group, collaborating on projects such as voice misuse detection, federated learning for medical imaging, and AI-driven mental health prediction.
Dr. Albert Aidoo-Anderson is a Lecturer in Management at the Salford Business School, University of Salford. He holds a PhD in Operations Management (Supply Chain, Logistics, and Project Management), an MSc in Procurement, Logistics, and Supply Chain Management, and an MSc in Finance. He is a Chartered Member of the Institute of Procurement and Supply (MCIPS) and a Fellow of the Higher Education Academy (FHEA). His research focuses on Operations Management, Supply Chains, and Industry 4.0/5.0 applications in sectors like Pharmaceutical, Mining, Healthcare, and Oil & Gas. Education: PhD in Operations Management, University of Salford MSc in Procurement, Logistics, and Supply Chain Management, University of Salford MSc in Finance, University of Dundee Postgraduate Certificate in Academic Practice (PGCAP) Research interests include demand forecasting for SMEs, Industry 4.0 integration in supply chains, and smart logistics. He led the OPEN SME project, a £1M initiative funded by the Greater Manchester Combined Authority and ERDF, collaborating with Manchester University, Manchester Metropolitan University, and Bolton University to develop an Online Leadership Programme for SMEs post-COVID. His teaching spans undergraduate and postgraduate modules such as Operations Management, Supply Chain Management, Project Management, and Research Methods. Scientific Awards and Recognition: Fellow of the Higher Education Academy (FHEA) Chartered Member of the Institute of Procurement and Supply (MCIPS) Grants and Advising: Supervised MSc/PhD dissertations and contributed to the OPEN SME project. His professional experience spans Mining, Logistics, Banking, Finance, and NHS Health sectors. Labs/Teams: Led a multidisciplinary team in the OPEN SME initiative, emphasizing SME resilience and digital transformation in Greater Manchester.
