Dr. Bin Tang is a Professor in the Department of Computer Science at California State University, Dominguez Hills. He holds a Ph.D. in Computer Science from Stony Brook University (2007) and dual M.S. degrees in Computer Science and Materials Science from the same institution. His research focuses on algorithmic solutions for data placement in networks, with applications in robotic sensor systems and cloud data centers. He has led multiple NSF-funded projects including 'Edge-Based Approach to Robust Multi-Robot Systems' and 'Optimal Resource Allocation in Policy-Driven Data Centers'. Dr. Tang mentors students in research competitions and has supervised numerous graduate theses. He teaches courses in operating systems, algorithms, computer networks, and cloud computing.
Lorrie Faith Cranor is the Director and Bosch Distinguished Professor in Security and Privacy Technologies at the CyLab Security and Privacy Institute, and the FORE Systems University Professor of Computer Science and Engineering and Public Policy at Carnegie Mellon University. She also directs the CyLab Usable Privacy and Security Laboratory (CUPS) and co-directs the MSIT-Privacy Engineering master’s program. She previously served as Chief Technologist at the U.S. Federal Trade Commission and is a co-founder of Wombat Security Technologies. Carnegie Mellon University – CyLab Security and Privacy Institute School of Computer Science – Department of Computer Science College of Engineering – Department of Engineering and Public Policy PhD Program in Societal Computing Human-Computer Interaction Institute (affiliate) Heinz College (affiliate) Dr. Cranor’s research centers on usable privacy and security, privacy engineering, and technology policy. Her work spans authentication systems, privacy policies, IoT security, and human behavior in digital environments. She has pioneered research on password usability, privacy labels (e.g., 'nutrition labels' for privacy), and privacy decision-making. Her interdisciplinary approach integrates computer science, public policy, and behavioral science to create systems that are both secure and user-friendly. Her recent publications reflect a strong focus on privacy interfaces, consent mechanisms, IoT security labels, and user comprehension of digital privacy. Trends include evaluating the usability of privacy controls across platforms, designing tools for developers to generate accurate privacy disclosures, and understanding user behavior in online tracking and advertising contexts. Her work frequently appears in top venues such as CHI, SOUPS, and PETS. ACM CHI Academy inductee ACM Fellow IEEE Fellow 2018 ACM CHI Social Impact Award 2018 International Association of Privacy Professionals Privacy Leadership Award 2018 IEEE Cybersecurity Award for Practice Alumni Achievement Award, McKelvey School of Engineering Top 100 Innovator under 35, Technology Review Dr. Cranor has advised numerous PhD students in interdisciplinary programs including Societal Computing, Engineering and Public Policy, and Human-Computer Interaction. Her research has been supported by grants from the National Science Foundation, DARPA, and industry partners. She serves on the boards of the Computing Research Association, Center for Democracy and Technology, and Electronic Privacy Information Center. She is a frequent media commentator on privacy and security issues. She leads the CyLab Usable Privacy and Security Laboratory (CUPS), a multidisciplinary research group that includes faculty and students from computer science, policy, and HCI. The lab focuses on making privacy and security systems more intuitive, effective, and user-controlled. Key projects include the Usable Privacy Policy Project, privacy nutrition labels, and the Personalized Privacy Assistant Project.
Professor Tomo Suzuki (Waseda University, Faculty of Commerce) holds a D.Phil. from Oxford University and has held academic positions at Oxford, London School of Economics, and Meiji University. His research spans Institutional Mechanism Design , Sustainability Management , and Mature Socio-Economy across Japan, India, and China. Former Oxford Professor with top academic awards (2008-2012) Advisor to Japanese Cabinet (2020-2023) and LDP Policy Committee Developed "One Additional Line" $2B/year system in India Lead author on 9 Scopus publications with 212 citations Research Focus : • Applied Institutional Design for mature economies • Distribution Statement (DS) for fair value allocation • Critique of shareholder-first capitalism Scientific Awards : Cosmo Awards for Research Excellence (1996, 2015) UK Research Assessment Exercise Top Score (2008) Oxford Executive MBA Outstanding Professor
Li Azinovic-Yang serves as an Assistant Professor of Accounting and IBM Faculty Fellow at the University of Chicago Booth School of Business. Her research examines corporate disclosure dynamics through analytical modeling and data analysis, focusing on intersections with firm innovation, competition structures, and labor practices. Education: PhD in Accounting, Columbia Business School Master in Banking and Finance, University of Zurich Bachelor in Finance, Shanghai University of Finance and Economics Her research spans corporate disclosure antecedents and consequences, particularly investigating how information transparency affects firm innovation strategies, competitive market structures, and labor policy implementation. Current work analyzes disclosure regulation's welfare impacts and strategic communication in corporate experimentation contexts through rigorous analytical frameworks. Recent publications demonstrate strong focus on accounting standard evolution and diversity initiatives, revealing how regulatory stability shifts impact financial reporting and how diversity targets transform organizational behavior. Her work bridges theoretical accounting models with real-world corporate practices. Scientific Recognition: IBM Faculty Fellow As an active researcher, Azinovic-Yang maintains significant industry engagement through media coverage in outlets like Forbes and CBS Newsroom. Her work on innovation disclosure regulation generated podcast interviews on The Finance Bro, while diversity research received mainstream news attention. She contributes to academic discourse through Booth School publications and maintains an active research pipeline examining capital rationing incentives and strategic communication.
Sebastian Kube is a Professor of Behavioral and Experimental Economics at the University of Bonn, Germany. He holds concurrent positions as Senior Researcher at the Max Planck Institute for the Study of Public Goods, Research Fellow at the Institute for the Future of Labor (IZA), and Vice Director of the BonnEconLab. He also coordinates the European Doctoral Program in Quantitative Economics and serves on multiple editorial/research boards. University of Bonn Max Planck Institute for Research on Collective Goods Institute for the Study of Labor (IZA) BonnEconLab European Doctoral Program in Quantitative Economics His experimental research examines social preferences , cooperation mechanisms , incentive design , and norm enforcement . Key areas include: how remuneration schemes affect workplace cooperation, the effectiveness of social sanctions in social dilemmas, and the psychological foundations of environmental behavior. Recent work explores trust communication strategies for maintaining cooperation, information asymmetry effects in group dynamics, and incentive reversal phenomena where higher rewards paradoxically reduce effort. His 2025 publications particularly focus on sanction removal strategies and environmental behavior. Scientific Awards: Excellence in Teaching Award (2017, 2016, 2015, 2012) IZA Young Labor Economist Award (2011) Etienne-Laspeyres Prize (2011) Heinz Sauermann Prize (2004) As Vice Director of BonnEconLab, he oversees experimental infrastructure for economic research. His methodological approach combines field experiments with laboratory studies , often using behavioral game theory frameworks. He has published extensively in top journals including American Economic Review , Journal of Public Economics , and Management Science .
Colleen Carey is an Associate Professor at the Jeb E. Brooks School of Public Policy, Cornell University. Her research focuses on the industrial organization of healthcare systems, particularly federal regulation of health insurance markets like Medicare and Medicaid. She examines topics such as reinsurance mechanisms, risk adjustment policies, and the impact of physician-industry financial relationships on prescribing behaviors. Carey is a Faculty Research Fellow at the National Bureau of Economic Research and previously held roles including Robert Wood Johnson Scholar in Health Policy Research and Staff Economist at the Council of Economic Advisers. Education: Bachelor’s Degree: Yale University Ph.D. in Economics: Johns Hopkins University Research Interests: Federal health insurance market design (e.g., ACA marketplaces) Adverse selection mitigation strategies in subsidized insurance Pharmaceutical industry practices and physician prescribing Opioid abuse policy evaluation Social Security Disability Insurance health outcomes Recent Work Trends: Her 2020-2025 publications emphasize healthcare policy evaluation, including analyses of Medicare Advantage enrollment dynamics, racial disparities in disability programs, and the effects of prescription drug marketing on clinical decisions. She consistently bridges economic theory with applied policy analysis. Scientific Awards and Roles: Editorial Board Member, American Journal of Health Economics Robert Wood Johnson Health Policy Research Scholar (2018-2020) NBER Faculty Research Fellow (ongoing) Advising and Grants: Though no formal advisees are listed, her research often involves collaborations with institutions like the Council of Economic Advisers and NBER. She contributes to policy discussions through evidence-based insights. Labs and Teams: Collaborates extensively with NBER’s Health Economics Group and maintains affiliations with Princeton’s Center for Health and Wellbeing.
Aggelos Kiayias FRSE is Chair in Cyber Security and Privacy and Director of the Blockchain Technology Laboratory at the University of Edinburgh. He is also Chief Scientist at blockchain technology company Input Output. His academic work spans over two decades with more than 200 publications in cryptography, blockchain, and security. Dr. Kiayias received his Ph.D. from the City University of New York and was an undergraduate at the University of Athens Mathematics department. His research focuses on computer security, privacy, applied cryptography, and foundations of cryptography with particular emphasis on blockchain technologies, distributed systems, e-voting, secure multiparty protocols, and identity management. His recent work demonstrates continued innovation across multiple dimensions of blockchain technology, with publications spanning theoretical foundations, practical implementations, economic modeling, and privacy-preserving techniques. The research output shows strong emphasis on security analysis, consensus protocols, transaction processing, and economic incentives within decentralized systems. His work bridges theoretical cryptography with real-world blockchain applications. Among his notable recognitions are an ERC Starting Grant, Marie Curie fellowship, NSF Career Award, Fulbright Fellowship, election as Fellow of the Royal Society of Edinburgh in 2021, and the BCS Lovelace Medal in 2024. He has served as program chair for major conferences including the Cryptographers' Track of RSA (2011), Financial Cryptography (2017), Real World Crypto Symposium (2020), and Public-Key Cryptography Conference (2020), and as general chair of Eurocrypt 2013. Professor Kiayias has supervised over 20 PhD students, many of whom have gone on to academic positions at institutions including Imperial College, Stanford University, Royal Holloway University London, University of Glasgow, University of Sydney, and Virginia Commonwealth University. His current advisees include Yu Shen, Amirreza Sarencheh, and Christina Ovezik with expected graduations between 2025-2026. He leads the Blockchain Technology Laboratory at the University of Edinburgh and is involved in several major blockchain research projects including Panoramix and Fentec. His research has received significant funding from the European Union (Horizon 2020, ERC), UK research councils (EPSRC), US agencies (NSF, DHS, NIST), and Greek research bodies.
Maria Fitzpatrick is Professor in Cornell University's Department of Policy Analysis and Management and Director of the Cornell Institute for Public Affairs. A Research Associate at the National Bureau of Economic Research, she holds a Ph.D. from the University of Virginia (2008) and specializes in child/family policy and education economics. Research examines early childhood education impacts, teacher compensation and retirement systems, child maltreatment reporting, and incarceration effects on families. Notable studies analyze universal pre-kindergarten programs, teacher pension reforms, and maternal incarceration's impact on birth outcomes. Current projects investigate child welfare decision-making algorithms and prison visitation policies. Fellowships include the Henry Luce Foundation/ACLS Early Career Fellowship and postdoctoral positions at Stanford's Institute for Economic Policy Research. She has advised government agencies including the Australian Prudential Regulation Authority and Queensland Rail.
Associate Professor Madeline Taylor is an Australian Research Council (ARC) Early Career Industry Fellow at Macquarie Law School and Co-Lead of the Energy, Communities, and Market Regulation Stream at the Transforming Energy Markets Research Centre. She specializes in socio-legal aspects of energy transition, focusing on regulatory frameworks, energy justice, and land-use conflicts between energy developers and communities. Her work bridges property law, commercial law, and comparative law to address challenges in renewable energy integration and resource governance. Affiliations: Honorary Associate at Sydney Environment Institute, Member of Sydney Institute of Agriculture Industry Partners: NSW Department of Primary Industries and Spark Renewables (FAARM Project) Research Interests: Energy law and policy, agricultural-legal synergies, renewable energy siting, and just transition principles. She co-edits the Oil, Gas and Energy Law Journal and contributes to the LexisNexis Energy and Resources Law in Australia . Recent Articles Highlight Key Themes: Offshore wind governance, agrivoltaics regulatory systems, hydrogen licensing, and energy justice frameworks. These works emphasize interdisciplinary approaches to balancing economic, environmental, and social dimensions of energy transitions. Awards: 2023 Lawyers Weekly Women in Law Academic/Researcher of the Year, 2024 AFR Higher Education Awards Finalist, Clean Energy Council Transformational Leadership Scholarship Teaching and Engagement: Embeds climate justice in commercial law education; advises governments and NGOs on energy policy. Active in RE-Alliance Management Committee and IUCN Climate Change Law initiatives.
Robert Swinney is the Senior Associate Dean for Executive MBA and Quantitative Management Programs and a Professor of Operations Management at Duke University's Fuqua School of Business. He specializes in strategic supply chain operations, consumer behavior dynamics, and platform management. His research explores sustainability, risk mitigation, and ethical practices within complex supply networks. Education: Bachelor of Science in Astronomy, California Institute of Technology PhD in Operations Management, Wharton School, University of Pennsylvania Prior Role: Associate Professor at Stanford University Graduate School of Business Research Interests: His work addresses operational implications of consumer behavior, start-up and platform operations, supply chain resilience, and ethical sourcing strategies. He emphasizes practical applications in healthcare, food delivery systems, and digital content platforms. Editorial Contributions: Currently serves as Department Editor at Manufacturing & Service Operations Management , with prior roles at Management Science and Production & Operations Management . Advising & Grants: No specific grants or advising roles explicitly listed in provided text.
Jonathan P. Wong is a Senior Policy Researcher at the RAND Corporation and Professor of Policy Analysis at the RAND School of Public Policy. His work bridges academic research and defense policy, focusing on military strategy, acquisition, force planning, and the integration of emerging technologies into military operations. Education: Ph.D. and M.Phil. in Policy Analysis (Pardee RAND Graduate School), M.A. in Security Studies (Georgetown University), B.A. in Political Science (UC San Diego) Professional Experience: U.S. Marine Corps infantry officer (2001–2011), Consultant at Boston Consulting Group, current RAND researcher and professor Wong’s research interests center on defense innovation, military logistics, artificial intelligence in warfare, space capabilities, and the human dimension of military operations. He has led studies on human-machine teaming, non-lethal weapons, defense acquisition reform, and U.S. military posture in the Indo-Pacific. His work emphasizes practical, policy-relevant insights grounded in operational experience. The trends in his recent publications reveal a deep engagement with modern defense challenges: integrating commercial technologies into military systems, improving acquisition agility, enhancing battlefield awareness, and ensuring that defense innovation serves warfighter needs. His research spans strategic, operational, and tactical levels, often focusing on the U.S. Army and Marine Corps. Wong has not received public recognition in the form of listed awards in the provided texts, but his leadership in congressionally mandated studies and high-impact policy research suggests significant influence in defense circles. Advising & Grants: Co-led major projects such as the Long Range Precision Fires study and research on integrating women into Marine Corps infantry. His work is frequently funded by the Department of Defense and other federal entities, though specific grant details are not listed. Wong is affiliated with RAND’s defense and national security research teams, contributing to strategic analysis and policy development. He is not associated with a formal lab but works within RAND’s collaborative research environment, often partnering with other veterans and defense experts to produce actionable insights for military leaders and policymakers.
Prof. Dr. Peter Gomber is Chair of e-Finance at the Faculty of Economics and Business, Goethe University of Frankfurt, Germany. He serves as Co-Chairman and member of the Board of the 'efl – the Data Science Institute', an industry-academic partnership between Frankfurt and Darmstadt Universities and leading industry partners. Additionally, he is a member of the Exchange Council of the Frankfurt Stock Exchange, Supervisory Board of Clearstream Banking AG, and Research Fellow at the Leibniz Institute for Financial Research SAFE in Frankfurt. Prof. Gomber received his Ph.D. at the Institute of Information Systems at the University of Giessen in 1999 after graduating in Business Administration. Before joining Goethe University in 2004, he worked for five years as Director, Head of Market Development Cash Markets and Xetra Research at Deutsche Börse AG, where he developed new market models and products for cash market trading on Xetra. His research focuses on market microstructure theory, digital finance and fintech, regulatory impact on financial markets, and electronic trading systems. With over 150 publications in leading international journals, his work has significantly influenced the field, particularly his highly cited papers on the Fintech Revolution. His recent research examines market fragmentation, circuit breakers, research unbundling under MiFID II, and the application of AI in financial markets. Prof. Gomber's extensive publication record shows a clear evolution from traditional market microstructure and electronic trading systems toward digital finance, fintech innovations, and regulatory impact analysis. His work bridges technical aspects of financial markets with regulatory considerations, demonstrating how technological innovations interact with market structure and regulation. His scientific recognition includes: IBM Shared University Research Grant (2007) Reuters Innovation Award (2000) Best Paper Award of the Journal of the Association for Information Systems (2020) Best Information Systems Publications Award (2020) Top 1 and Top 3 most cited articles in Fintech research (2025 bibliometric analysis) Prof. Gomber has successfully supervised numerous PhD students, including Tino Cestonaro who won the Best PhD Paper Award 2025. He has acquired significant research funds from both public institutions and the private sector. Notably, a market model invention by Prof. Gomber was granted a patent by the United States Patent and Trademark Office, with two additional market model inventions filed for patent in Europe and the US. He leads an active research team at the Chair of e-Finance, including researchers like Benjamin Clapham, Micha Bender, and Tino Cestonaro. The team collaborates closely with the efl – the Data Science Institute and the Leibniz Institute for Financial Research SAFE, bridging academic research with practical applications in financial markets.
Michael J. Freedman is the Robert E. Kahn Professor of Computer Science at Princeton University and co-founder/CTO of Timescale. He received his Ph.D. from NYU’s Courant Institute and degrees from MIT. Current roles: Professor, Co-founder & CTO Affiliations: Princeton University, SNS Group, CITP Associate Education: Ph.D. (NYU), S.B./M.Eng. (MIT) His research spans distributed systems, networking, and security, with innovations like CoralCDN, DONAR, and Ethane. His work impacts decentralized content delivery, software-defined networking, and privacy-enhancing technologies. His recent publications address scalable fusion algorithms, GPU acceleration for data systems, and distributed GPU resource management. These works intersect with cloud infrastructure, network optimization, and security. Scientific honors include: Presidential Early Career Award for Scientists and Engineers (PECASE) Sloan Fellowship NSF CAREER Award Office of Naval Research Young Investigator Award Test of Time Award (Theory of Crypto Conference) ACM SIGOPS Mark Weiser Award He advises graduate students like Sam Ginzburg and Ashwini Raina, who joined Meta AI and Timescale post-PhD. His projects have secured substantial grants, including $110M Series C funding for Timescale. Key labs/teams: Princeton SNS Group Co-founder, Timescale (enterprise data platform) Co-founder, iobeam (IoT analytics, acquired by Timescale) Collaboration with FCC on Consumer Broadband Test Contributions to OpenFlow/SDN standardization
Ning Nan is an Associate Professor at the University of British Columbia's Sauder School of Business, specifically within the Department of Accounting and Information Systems. With a BA from Peking University, an MA from the University of Minnesota, and a PhD from the University of Michigan, Dr. Nan focuses on digital business strategy, evolvable IT infrastructure, and complex adaptive systems. His research explores blockchain applications, agent-based modeling, and the intersection of AI with societal challenges like sustainability. Education: PhD in Information Systems, University of Michigan MA in Information Systems, University of Minnesota BA in Computer Science, Peking University Research Interests: Dr. Nan investigates how technology shapes organizational and societal systems, with a focus on AI ethics, sustainability through personalized recommendations, and blockchain's role in decentralized supply chains. He employs agent-based modeling to simulate complex phenomena like innovation diffusion and online community dynamics. Recent work addresses explainable AI in smart cities and carbon-reduction gamification strategies. Teaching: In 2024-2025, he teaches Data Management for Business Analytics , emphasizing practical applications of data-driven decision-making. Key Research Themes: His articles highlight trends in AI sustainability (e.g., carbon footprint impacts of recommendation systems), digital business strategy (blockchain governance, app update strategies), and foundational IS theory (hyperturbulence and IS strategy).
Professor Begona Dominguez is a faculty member in the School of Economics at The University of Queensland (UQ), within the Faculty of Business, Economics and Law. She holds a Doctor of Philosophy in Economics from Universitat Autònoma de Barcelona. Her research focuses on Macroeconomics, Public Finance, and Monetary Economics, with emphasis on fiscal policy design, central bank balance sheets, and optimal taxation frameworks. Her key projects include Supporting Entry and Growth of Australian Businesses via Tax and Transfers (2022–2024) and The role of a central bank's balance sheet in shaping the economy (2021–2024) . She is available for PhD supervision and actively contributes to applied macroeconomic analysis, particularly in urban economic advantages and policy evaluation. Publications span topics like fiscal sustainability, inflation dynamics under central bank policies, and the implications of constitutional constraints on taxation. Her work bridges theoretical models (e.g., Ramsey frameworks) with empirical applications in tax policy and public debt management. Professor Dominguez maintains affiliations with the Centre for Applied Macroeconomic Analysis (ANU) and has reviewed prominent texts such as John Taylor's Reform of the International Monetary System . She is based in Room 507, Colin Clark Building at UQ.
