Rowena Harper is a Professor and Deputy Vice-Chancellor (Education) at Edith Cowan University (ECU), where she leads educational strategy, including Library and the Centre for Learning and Teaching. Her portfolio encompasses curriculum innovation, learning technologies, and academic integrity initiatives. Prior roles include Director of ECU's Centre for Learning and Teaching and Associate Director of Curriculum Development at the University of South Australia. Harper holds a PhD, GradCertEd, and BA (Hons). Her research focuses on academic integrity, contract cheating, digital learning, and English language development. She co-founded the International Consortium of Academic Language and Learning Developers (ICALLD) and served as President of the Association for Academic Language and Learning (AALL). Key projects include leading the Learning Management System transition and City Campus Project at ECU. Her articles highlight innovative approaches to combating contract cheating, assessment reform, and digital clinical communication in health education. She emphasizes ethical pedagogy and institutional accountability in addressing academic misconduct.
Emin Gün Sirer is an Associate Professor at the Department of Computer Science , College of Engineering , Cornell University . He co-directs the Initiative for Cryptocurrencies and Smart Contracts and leads the Meridian and HyperDex projects. Research in operating systems, networking, and distributed systems Focus on secure operating systems, high-performance cloud infrastructure, and peer-to-peer networks Developed systems like Nexus (secure OS), OpenReplica (Paxos implementation), and Trickles (stateless network protocol) Prominent Projects : Meridian - Lightweight network location service without virtual coordinates Cubit - Decentralized peer-to-peer search Kimera - Network-centric Java verification SPIN - Extensible microkernel for application-specific services Scientific Contributions : Leading work in blockchain security and peer-to-peer systems Patents in executable content rewriting and distributed virtual machines Advising & Collaborations : Advises projects in network positioning and content distribution Collaborates with institutions like Usenix , SIGCOMM , and NSDI Personal Background : Ph.D. and M.S. in Computer Science from the University of Washington B.S.E. in Computer Science from Princeton University High school at Robert College
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.
Omobolanle Ogunseiju is an Assistant Professor in the School of Building Construction at Georgia Institute of Technology . She holds a Ph.D. in Environmental Design and Planning from the Department of Building Construction at Virginia Tech. Education: Ph.D. in Environmental Design and Planning, Virginia Tech Current Role: Assistant Professor, Georgia Tech School of Building Construction Her research focuses on integrating wearable robotics and Artificial Intelligence (via digital twin , cyber-physical systems , and data sensing ) to improve construction workforce safety, health, and well-being . She explores ethical implications of automation in construction, particularly in human-technological dynamics. Key research trends include: Advancing smart communities through robotics and AI Exoskeleton evaluation for ergonomic risk reduction Mixed reality environments for construction education Data analytics for cognitive and physical risk assessment Professional identity development in construction engineering students Industry-academia alignment for sensing technology integration Scientific awards: Outstanding Doctoral Candidate, Myers-Lawson School of Construction Outstanding Doctoral Student, College of Architecture and Urban Studies at Virginia Tech Teaching philosophy emphasizes experiential learning , engagement techniques , and hierarchical assessments . She developed the Construction Cost Management course at Georgia Tech and will lead Construction Technology courses. Previously, she taught Smart Construction , Building Systems Technology , and Wireless Sensing in Construction Management at Virginia Tech.
Professor Georgios Sermpinis is a faculty member in Accounting & Finance at the Adam Smith Business School, University of Glasgow. He joined the institution in 2011, bringing expertise in machine learning, financial trading, forecasting, econometrics, and financial risk management. Degrees from National Kapodistrian University of Athens and Liverpool John Moores University Former roles at University of Bedfordshire and Liverpool John Moores University Consultancy for major banks including Goldman Sachs and BNP Paribas Research Interests: Focus on machine learning applications in finance, including portfolio optimization, cryptocurrency markets, and risk modeling. His work integrates AI with traditional financial theories, emphasizing sustainability and behavioral aspects. Scientific Awards: Acanto Research Grant (2017) Santander & University of Oviedo Grant (2017) Mobility Grant, Universidad de La Laguna (2017) University of Oviedo Grant (2014) Early Career Research Grant, University of Bedfordshire (2010) Students: Supervised PhD candidates include Feng Xin and Sun Longguang, focusing on ESG investment and financial markets. Editorial Roles: Senior Editor of Decision Support Systems, Associate Editor of Information Systems and Operational Research, and Guest Editor for journals like Quantitative Finance.
Mary Bryna Sanger is a University Professor of Policy and Management at The New School, specifically within the Milano School of Policy, Management, and Environment. She holds a tenured faculty appointment in Urban Policy Analysis and Management. Previously, she served as Deputy Provost and Senior Vice President for Academic Affairs (2009–2022), operational head of the Provost's Office, and Dean of Milano (1999–2000). Her academic career spans roles as Associate Dean for Academic Affairs and Chair of Urban Policy at Milano (1993–1999). Education: Bryna earned an AB with honors from Vassar College and a PhD from The Heller School, Brandeis University. Her research focuses on public policy, performance management, welfare reform, and leadership in public institutions. She has led projects at the Gordon Public Policy Center (innovation and leadership), the National Civic League (performance measurement systems), and the Brookings Institution (welfare reform privatization). Research and Awards: Bryna has authored influential books like The Welfare Marketplace (2003) and After the Cure (2000). She received the Einhorn Research Award for work on performance measurement systems. United Neighborhood Houses honored her as a 'New Yorker who makes a difference' (2009). Consulting and Leadership: She advises city/state governments, including the Spitzer administration’s human services transition committee and NYC’s performance-management system. She chairs United Neighborhood Houses and has held leadership roles at the Association for Public Policy Analysis and Management. Her editorial contributions include journals like the Journal of Public Policy Analysis and Management and Policy Studies Journal . Teaching: Recent courses include Policy and Advocacy and Public Management (2024–2025).
Emanuel Sallinger is a Full Professor at TU Wien's Databases and Artificial Intelligence Group and Vice Dean of Academic Affairs for Business Informatics and Data Science. He leads the Knowledge Graph Lab, focusing on scalable knowledge-based systems, reasoning in knowledge graphs, and AI integration. His research spans computational logic, database theory, and blockchain applications. Education: PhD in Computer Science (awarded 'sub auspiciis praesidentis rei publicae'), Master's degrees in Computational Intelligence and Informatics Management, and a Bachelor's in Software and Information Engineering. Research Interests: Knowledge graphs (construction, reasoning, scalability), logic-based systems, AI/ML integration with databases, enterprise architecture modeling, and financial knowledge systems. His work emphasizes practical applications like enterprise modeling, sustainable waste management, and regulatory compliance. Grants & Projects: Lead Vienna Science and Technology Fund (WWTF)-funded Knowledge Graph Lab. Involved in projects like 'Knowledge Graph-driven Tour Management' (sustainability), 'SustainGraph' (waste processing), and 'Enterprise Architecture Knowledge Graphs'. Teaching: Offers courses on Knowledge Graphs, Generative AI, Database Systems, and research methodology. Supervises doctoral and master's students in AI, databases, and knowledge representation. Labs/Teams: Knowledge Graph Lab at TU Wien, collaborating with industry on blockchain-based systems, financial AI, and enterprise architecture frameworks.
Amanda Pallais is the Robert C. Waggoner Professor of Economics at Harvard University's Department of Economics. She previously held the role of Paul Sack Associate Professor of Political Economy and Social Studies. Her research focuses on labor market inefficiencies and barriers to equitable education access, particularly for low-income populations. Pallais holds a B.A. in Economics and Mathematics from the University of Virginia (2006) and a Ph.D. in Economics from MIT (2011). Her research explores how labor market dynamics, such as reputation costs and manager bias, hinder equitable employment outcomes. She has also studied how small policy changes, like college application fees, disproportionately affect low socio-economic status (SES) students’ educational choices. Her work further examines the impact of financial aid on college persistence and completion rates among disadvantaged groups. Pallais’s recent publications (2024–2015) highlight trends in labor economics, education policy, and gender dynamics. Key themes include remote work’s gendered impacts, training efficacy, merit aid effects, and experimental analyses of policy interventions. Her work bridges theoretical frameworks with real-world experiments to address systemic inequalities. No scientific awards or grants are explicitly noted in the provided texts. While no formal advising records are listed, her research themes imply significant contributions to mentoring students in labor economics and education policy. She is affiliated with Harvard’s Faculty of Arts and Sciences (FAS) and maintains an active research agenda in social stratification and economic inequality.
Ooi Beng Chin is a Professor at the School of Computing , National University of Singapore (NUS). He holds concurrent roles as an adjunct Chang Jiang Professor at Zhejiang University, Visiting Distinguished Professor at Tsinghua University, and Director of NUS AI Innovation and Commercialization Centre in Suzhou, China. He earned his B.Sc. (1st Class Honours, 1985) and Ph.D. (1989) from Monash University, Australia. His research spans database systems, blockchain, machine learning, and large-scale analytics , focusing on system architectures, security, and cross-domain applications. Notable contributions include initiating the Apache SINGA distributed deep learning platform and developing Blockbench, the first blockchain benchmarking system. He also co-founded MZH Technologies (2018) for healthcare analytics. Key publications highlight his work in blockchain-database integration, AI for healthcare/finance, and 5G-enabled data systems. Awards include the ACM SIGMOD EF Codd Innovation Award (2020), Singapore President's Science Award (2011), and fellowships from SNAS, IEEE, ACM , and SAEng (2023). He leads the Singapore Blockchain Innovation Programme (SBIP) and contributes to industry collaborations with healthcare institutions and financial organizations. Fellow, Singapore National Academy of Science (SNAS) Fellow, IEEE Fellow, ACM Singapore President's Science Award, 2011 IEEE Kanai Award, 2012 NUS Outstanding Researcher Award, 2013 ACM SIGMOD EF Codd Innovation Award, 2020 Foreign Member, Chinese Academy of Sciences, 2023
Jonathan Jackson is Professor of Research Methodology at the London School of Economics and Political Science's Department of Methodology, with affiliated positions at University of Sydney Law School and Yale Law School's Justice Collaboratory. His internationally recognized research examines procedural justice, legitimacy, and fairness in criminal justice systems through cross-cultural methodologies. His research integrates psychology and law to investigate: the causal mechanisms of procedural justice; structural racism in policing; bounded authority concepts; and adaptability of justice frameworks across diverse sociopolitical contexts. Jackson leads major projects funded by the Economic and Social Research Council and European Commission, including the design of the European Social Survey's justice module implemented in 28 countries. Recent publications demonstrate focus on digital justice transformation, crisis policing legitimacy, gender-based violence response, and racial justice impacts following George Floyd's murder. His scholarly influence extends through editorship of the British Journal of Criminology and PLOS ONE, plus visiting appointments at Oxford, Cambridge, Harvard, and NYU.
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.
Istvan David is an Assistant Professor in the Department of Computing and Software at McMaster University , with research expertise spanning Digital Twins , Model-Driven Engineering , and Sustainability . His work bridges theoretical and applied domains, focusing on smart ecosystems , collaborative modeling , and AI-driven simulation . Key contributions include frameworks for digital twin evolution and interoperability in sustainable systems. Education : BSc, MSc, and PhD in Computer Engineering and Computer Science from Budapest University of Technology and Economics, and University of Antwerp. Research Areas : Digital Twins, Model-Driven Engineering, Reinforcement Learning, Smart Ecosystems, Sustainability, Collaborative Modeling, Cyber-Biophysical Systems, and Software Architecture. Recent Article Trends emphasize AI integration with digital twins, collaborative modeling in industrial contexts, and sustainable systems engineering . His work often combines machine learning with formal modeling to address challenges in technical sustainability and smart agriculture .
Anatole Boute is Professor at The Chinese University of Hong Kong's Faculty of Law, specializing in energy, environmental, and investment law with focus on sustainable energy transitions in emerging economies and Belt and Road contexts. His academic credentials include: PhD in Law (2011, University of Groningen) Advanced Master (LLM) in Energy and Environmental Law (2005, University of Leuven) Law degree (2004, University of Leuven) Political Sciences degree (2003, University of Leuven) Professor Boute's research examines legal frameworks for renewable energy adoption, emissions trading systems, and investment protection in energy transitions. His work analyzes geopolitical dimensions of energy security, regulatory stability challenges, and adaptation of international law to regional contexts—particularly Central Asia and China—through interdisciplinary lenses combining law, economics, and political science. His publication trends reveal concentrated expertise in China's emissions trading mechanisms, Belt and Road energy investments, and regulatory stability for renewable projects. Recent work critically examines carbon pricing integration in electricity markets, geopolitical tensions in EU-Russia energy relations, and legal innovations for climate adaptation in resource-constrained regions. His scientific recognition includes: Willoughby Prize (2009) for Journal of Energy & Natural Resources Law publications Outstanding Fellow of the Faculty of Law at CUHK As founder and coordinator of CUHK's LLM program in Energy and Environmental Law, Professor Boute mentors graduate students while leading major research initiatives. He secured General Research Fund grants for projects on China's emissions trading (2016) and Eurasian energy market shaping (2018), and co-organized the 2017 conference on Belt and Road energy investments. His advisory work spans the World Bank's Russia Renewable Energy Program (2011-2016), International Energy Agency, and United Nations Conference on Trade and Development. Professor Boute directs research on energy transitions through collaborations with international organizations and government bodies, focusing on practical implementation of legal frameworks for decarbonization in Asian and Eurasian contexts.
Joseph Mahoney is a Professor of Business Administration and Caterpillar Chair of Business at the University of Illinois at Urbana-Champaign, holding dual appointments as Associate Director of the Illinois Strategic Organizational Initiative (ISOI). He holds a Ph.D., M.S., and B.A. in Economics from the University of Pennsylvania (1989, 1984, 1980). His academic roles include Director of Graduate Studies (2008-2012) and leadership in strategic management education. Research Interests: Corporate Governance & Organizational Economics Transaction Cost Economics & Property Rights Theory Stakeholder Theory & Behavioral Firm Theory Dynamic Capabilities & Strategic Responses to Shocks Supply Chain Efficiency & Value Creation Publications Highlight: Recent work explores organizational misconduct's impact on performance (e.g., Astros scandal), corporate personhood, resource redeployment dynamics, and Penrose's growth theories. Articles frequently appear in top journals like Strategic Management Journal and Academy of Management Review . Awards: Strategic Management Society Fellow (2013), Academy of Management Fellow (2012), and 2021 Dean's Impact Award. Active in editorial roles for Strategic Management Review and Strategic Management Journal . Teaching: Leads undergraduate Business Policy, PhD seminars on strategic theory, and philosophy of science in management. Courses emphasize integration of functional areas and societal roles of firms.
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.
