Osman Yağan is a Research Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with affiliate faculty status in the School of Computer Science. He is also a core member of CyLab Security and Privacy Institute. Prior to joining CMU in 2013, he was a Postdoctoral Research Fellow at CyLab. He holds a Ph.D. in Electrical and Computer Engineering from the University of Maryland (2011) and a B.S. from Middle East Technical University (2007). His research focuses on modeling, analysis, and optimization of computing systems, leveraging applied probability, network science, data science, and machine learning. Key areas include multi-armed bandits, resilient machine learning, contagion processes in networks, and cybersecurity. Research Interests include Machine Learning, Data Science, Network Science, Cybersecurity, and Robustness in Cyber-Physical Systems. He has advised numerous students, including current PhD candidates Yurun Tian, Orkun İrsoy, and Ishank Juneja, as well as notable alumni such as Mansi Sood (now at MIT) and Jun Zhao (Assistant Professor at Nanyang Technological University). Key Awards include the CIT Dean's Early Career Fellowship, IBM Academic Award, and Best Paper Awards at ICC 2021, IPSN 2022, and ASONAM 2023. His work spans theoretical contributions (e.g., contagion models in multi-layer networks) and applied research (e.g., mitigating cascading failures in power systems). He leads or co-leads grants from ONR, NSF, and ARO, focusing on resilient machine learning, network robustness, and pandemic modeling.
Dr. Fei Teng is an Associate Professor in the Department of Electrical and Electronic Engineering at Imperial College London and Director of Education at the Energy Futures Lab, a pan-university hub for interdisciplinary energy research. He holds visiting positions at MINES ParisTech, PolyU Hong Kong, and KTH Sweden. His research focuses on software-defined power networks, stability-constrained optimization, cyber-resilient decision-making, and privacy-preserving data exchange in low-inertia grids. Dr. Teng has authored over 100 publications in top-tier journals and conferences, with funding from EPSRC, Innovate UK, the Royal Society, and industry partners like Hitachi and National Grid ESO. His work addresses critical challenges in grid stability, cybersecurity, and renewable energy integration. He has received prestigious awards, including the IEEE Early Career Award and Royal Society Kan Tong Po Fellowship. Research interests include high-penetration power electronics, uncertainty modeling in power systems, and data privacy in smart grids. His interdisciplinary approach integrates machine learning, quantum computing, and cyber-physical systems to enhance grid resilience and efficiency. Key contributions include frameworks for stability-constrained optimization, cyber-resilient control, and synthetic inertia from electric vehicles. He advocates for software-defined grids to revolutionize decision-making frameworks for NetZero systems.
Jacky Bourgeois is an Assistant Professor of Data-Centric Design at Delft University of Technology's Faculty of Industrial Design Engineering (IDE), leading the Data-Centric Delft Design Lab. His work bridges Human-Computer Interaction, Data Science, and Participatory Design, focusing on methods like data donation to empower collaborative data exploration. He holds a computer science background, previously researching ubiquitous technologies for domestic energy practices of 'energy farmers' (solar households). Key projects include the PROMISE study on patient-led oncological care and the Data Donation initiative promoting ethical data practices. Education: Background in Computer Science; academic focus on sustainable design engineering and IoT. Teaching includes courses like 'Data-Centric Design for...' (2024) and 'Digital Product Development' (2023). Research Interests: Data as subjective inquiry material, data intimacy, data commons, and human-data interaction in home contexts. Notable contributions include PAIRcolator for collaborative data reflection and Tangi for 360° video insights. Awards include Best Paper at CHI 2025 and DIS '24 Best Paper. Grants & Collaborations: NWO-funded research on hospital sounds (2024), IoT Rapid Proto Labs for industry-academia partnerships, and ancillary role as a scientific employee at The Open University (2025–2027). Labs & Teams: Director of the Data-Centric Delft Design Lab; collaborates with the HCI Data & Design SIG. Current projects address ethical frameworks for data donation and patient-centered healthcare systems.
Eva Ascarza is a Professor of Business Administration in the Marketing Unit at Harvard Business School (HBS) . She co-founded the Customer Intelligence Lab at HBS's D 3 Institute, focusing on responsible and effective customer data utilization. Research Interests include: Customer retention and churn analysis Algorithmic bias in marketing AI Field experimentation (A/B testing) for targeting optimization Customer lifetime value (CLV) modeling Dynamic personalization strategies Scientific Awards and Recognitions: 2023 Weitz-Winer-O'Dell Award (winner) 2022 Paul E. Green Award (PNAS publication) 2020 Marketing Science Institute (MSI) Scholar 2019 Erin Anderson Award for Emerging Female Scholar 2018 Paul E. Green Award (JMR publication) 2014 Frank M. Bass Outstanding Dissertation Award Her articles demonstrate cutting-edge applications of statistical modeling , Bayesian methods , and fair AI frameworks in modern marketing challenges.
Craig Carter is the John G. and Barbara A. Bebbling Professor of Supply Chain Management at Arizona State University’s Department of Supply Chain Management. He holds the Harold E. Fearon Fellow of Purchasing Management title. His research focuses on sustainable supply chain management, ethical buyer-supplier relationships, environmental supply chain practices, and diversity sourcing. He has advised on over 100 Fortune 1000 firms globally and served as an editor for multiple journals, including the Journal of Supply Chain Management and Decision Sciences Journal. Education: Ph.D. in Business from Arizona State University (1996), B.S. in Business from the University of Maryland (1990). His industry experience includes roles at Ryder Systems and the U.S. Department of Transportation. Research emphasizes unintended consequences of sustainability initiatives, behavioral decision-making in supply chains, and supply chain leakage of greenhouse gas emissions. His work bridges theoretical frameworks (e.g., configurational approaches) with practical applications, such as mitigating supply risk and enhancing collaboration. Recent publications explore topics like honesty contagion in negotiations and informal exchanges impacting sourcing collaboration. He has been recognized for editorial contributions and has been actively involved in shaping supply chain management’s academic trajectory through thought leadership. Courses taught include Strategic Procurement, Global Supply Operations, and seminars on supply chain theory. His work often integrates empirical research with real-world case studies, emphasizing actionable insights for practitioners.
Kambiz Ghazinour is a Professor and Chair of the Department of Cybersecurity at SUNY Canton, where he directs the Advanced Information Security and Privacy (AISP) Lab. He holds a PhD in Computer Science from the University of Calgary (2012) and a Postdoctoral Fellowship from the University of Ottawa and Children's Hospital of Eastern Ontario (2014). Previously, he served as an Assistant Professor at Kent State University (2015-2019) and earned a Master's in High Performance Scientific Computing from the University of New Brunswick (2007). Research Focus: Data Security and Privacy, Privacy Enhancing Technologies, Usable Security, Healthcare Systems, and Social Media. Key Projects: DigitalPASS—patented simulation-based privacy education tool for social media safety. His recent publications span Cybersecurity , Deep Learning , and Health Informatics , including works on cryptocurrency price prediction, Alzheimer's detection via eye tracking, and privacy-preserving surveillance. He has received multiple teaching awards such as the Best Teaching Award at the University of Calgary (2008). Faculty Recognition Award, Kent State University (2015, 2016) University Teaching Certificate (2009) Dr. Ghazinour's teaching portfolio includes graduate courses in Data Mining, Digital Forensics, Cryptography, and undergraduate instruction in cybersecurity fundamentals and programming.
Dr. Srinivas Peeta is the Frederick R. Dickerson Chair and Professor in Transportation Systems Engineering at the Georgia Institute of Technology’s School of Civil and Environmental Engineering. He previously held the Jack and Kay Hockema Professorship at Purdue University, where he served for 24 years. He is also the Associate Director of the USDOT Center for Connected and Automated Transportation. Education: B. Tech. from IIT Madras, M.S. from Caltech, and Ph.D. from UT Austin, all in Civil Engineering. His research focuses on large-scale transportation systems, infrastructure interdependencies, and connected/automated vehicles. He has authored over 345 publications and secured over $48M in research funding. Research Interests: Dynamic traffic networks and driver behavior modeling Information-based navigation in vehicular systems Systems perspectives for complex adaptive infrastructure Autonomous vehicle integration and human-vehicle interactions Key Achievements: Developed DYNASMART software for traffic operations Recipient of NSF CAREER Award (1997) and ASCE Walter Huber Prize (2009) Directed NEXTRANS UTC and pioneered USDOT’s real-time route guidance systems Grants & Outreach: Secured funding from USDOT, NSF, FHWA, and international agencies Initiated NEXTRANS internship programs and K-12 outreach Labs/Teams: Active in Georgia Tech’s ACT Lab, focusing on autonomous transportation systems and human-vehicle-environment interactions.
Ian Ball is the Gary Loveman Career Development Assistant Professor of Economics at the Massachusetts Institute of Technology , specializing in economic theory , mechanism design , and information design . He is affiliated with the Department of Economics and contributes to theoretical advancements in strategic decision-making frameworks. Contact: ianball@mit.edu His research focuses on mechanism design , where he explores probabilistic verification and contingent payment systems, and information design , emphasizing dynamic provision and content filtering. Key themes include incentive compatibility, strategic agent behavior, and robustness in economic models. The articles highlight his work on probabilistic verification, dynamic information provision, and bias in delegation mechanisms, spanning journals like Econometrica , Journal of Economic Theory , and American Economic Journal: Microeconomics . Topics include reputation systems, optimization, and multi-period contracts. Scientific Awards: Review of Economic Studies Tour (2020) China Star Tour (2020) Contact details include his office location E52-556 and assistant Ruth Levitsky at phone number 617-253-3399 .
Professor Paul A. Raschky is affiliated with the Department of Economics at Monash University , where he also directs the SoDa Labs and co-founded the KASPR Datahaus PTY LTD and IP Observatory . His academic focus spans Political Economy , Environmental Economics , Insurance Economics , and Development Economics , with a specialization in natural hazards and data science applications. Education: PhD (University of Innsbruck, 2008), with a postdoctoral research visit at the Wharton School . Research: Explores intersections of disaster risk , governance , and economic development , leveraging machine learning and big data . Recent Publications: Focus on generative AI productivity , ethnic favoritism , disaster insurance , and conflict economics . Awards: Recipient of the ABDC Award for Innovation and Excellence in Research (2022) and Dean’s Excellence in Research Award (2016) . Projects: Leads initiatives on internet suppression in Myanmar , news media availability , and AI-driven policy insights in South-East Asia and the Pacific. Future Work: Will be on sabbatical in 2025 , likely expanding on AI applications and disaster resilience .
Dr. Patrick Scholten is Professor of Economics at Bentley University, researching industrial organization, e-commerce economics, and applied game theory. His work analyzes firm behaviors in online markets using econometric methods. Education includes: PhD in Economics, Indiana State University MS in Student Affairs and Higher Education, Indiana State University Research examines price dispersion, network effects, ID verification impacts, and corporate social responsibility expectations. Recent publications focus on geo-cultural FDI determinants and business sustainability pressures.
Konrad Kollnig is an Assistant Professor at Maastricht University’s Faculty of Law, specializing in the intersection of law and technology. He leads the RegTech4AI project, which combines legal and technical methods to address challenges in the AI and digital platforms sector. His academic background includes a PhD and MSc from the University of Oxford and a BSc from RWTH Aachen, with his PhD thesis winning the prestigious Stefano Rodotà Award 2024. Research focuses on market power analysis in digital platforms, ethical AI governance, and privacy-preserving technologies. He developed the TrackerControl app (200,000+ downloads) to expose app tracking practices. His work has influenced EU, OECD, US FTC, and other regulatory bodies, and been featured in Forbes, Wired, and New Scientist. Key achievements include winning the United Nations Privacy Competition 2022 and the Best Student Privacy Paper Award 2022. He holds a five-year RegTech4AI project grant (€2.1M) funding six researchers. Talks and collaborations span institutions like Georgetown University, CNIL, and the Council of Europe. His interdisciplinary approach bridges computer science, law, and policy to address systemic risks in digital ecosystems.
Brett K. Jakubiak is an Associate Professor in the Department of Psychology at Syracuse University, College of Arts and Sciences. His research focuses on relational well-being, affectionate behaviors, and social support dynamics. He holds a Ph.D. from Carnegie Mellon University (2017) and has been recognized with the Laura J. and L. Douglas Meredith Teaching Award (2021). Jakubiak's work bridges theory and scalable interventions to enhance relationship quality and individual thriving across life stages. Research Interests: Impact of affectionate touch on relational satisfaction Role of social support in stress regulation Attachment theory applications in close relationships Psychological well-being through interpersonal interactions Recent Work Highlights: Explores human-AI relationship dynamics (2024), examines self-disclosure patterns tied to attachment avoidance (2024), and investigates touch's role in shared positive experiences (2023). His NSF-funded research examines affectionate touch in diabetic couples (2022–2027). Service Contributions: Serves on editorial boards for Journal of Social and Personal Relationships and Personality and Social Psychology Review . Active in department governance including tenure committees, diversity initiatives, and strategic planning.
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.
Abraham L. Newman is a Professor at the Edmund A. Walsh School of Foreign Service and the Government Department at Georgetown University, where he also serves as Director of the BMW Center for German and European Studies. His work bridges political science, international relations, and global regulatory studies, with a focus on the intersection of economic interdependence and political power. PhD in Political Science – University of California, Berkeley MA in Political Science – University of California, Berkeley MA in International Relations – Stanford University BA in International Relations – Stanford University His research centers on globalization, data privacy, financial regulation, and weaponized interdependence . He investigates how transnational networks, particularly in finance and digital infrastructure, are leveraged for geopolitical advantage. His work emphasizes the evolving role of private actors, regulatory institutions, and technological change in shaping international order. Analysis of his recent publications reveals a strong focus on economic statecraft, digital sovereignty, AI governance, and transatlantic regulatory dynamics . Themes such as financial sanctions, data privacy enforcement, and the weaponization of global networks recur across his scholarship, reflecting a cohesive research agenda on power in an interconnected world. While no specific scientific awards are listed in the provided text, his publications in top journals like Science , Nature , International Organization , and World Politics indicate significant scholarly recognition. He has advised or collaborated on major research projects related to transnational regulation, GDPR implementation, and global financial governance . Although no specific grants are listed, his leadership of the BMW Center suggests involvement in externally funded research initiatives. He has also edited or contributed to collaborative academic volumes across institutions such as Princeton and Rice Universities. His leadership of the BMW Center for German and European Studies places him at the center of a research team focused on transatlantic relations, EU policy, and comparative political economy. This center likely supports a network of scholars, students, and visiting researchers engaged in European and global governance studies.
Emily Buehler is an Assistant Professor of Interpersonal Communication and Social Media at the Brian Lamb School of Communication, Purdue University. Her work bridges interpersonal communication and computer-mediated communication, focusing on how personal and social media influence social support processes in relationships. Education: Ph.D. in Interpersonal Communication and Relationships (University of Iowa, 2018), M.A. in Communication (Wake Forest University, 2014), B.A. in English (Ohio Northern University, 2007). Her research explores online support-seeking, social media’s role in relationships, and the interplay between communication technologies and emotional support. Recent studies examine anonymity in digital support, contextual factors shaping message provision, and mediated communication’s impact on family well-being. Publications appear in Communication Monographs , Journal of Social and Personal Relationships , and Computers in Human Behavior . Awards: Purdue College of Liberal Arts Outstanding Undergraduate Teacher (2023). She teaches courses on interpersonal communication, relationship technology, and privacy practices. As a mentor, she advises the Association for Women in Communication at Purdue and volunteers with HOBY leadership programs, fostering high school students’ leadership and community impact initiatives.
