Daniel Epstein is an Associate Professor in the Department of Informatics at the University of California, Irvine (UCI), where he leads the Personal Informatics Everyday (PIE) Lab. He holds a courtesy appointment in the Department of Computer Science and is affiliated with the Connected Learning Lab, Institute for Future Health, and Accessibility Research Collective. Epstein earned his Ph.D. in Computer Science & Engineering from the University of Washington and a B.S. in Computer Science from the University of Virginia. His research focuses on how personal tracking technology can better serve diverse users' needs, emphasizing ethical design, health equity, and long-term user engagement. Notable areas include pregnancy tracking, wearable technology for children and ADHD management, and AI-driven health chatbots. Epstein has received grants from NSF, Snap Inc., and UCI programs, totaling over $650k in funding. Epstein's work bridges HCI and health informatics, with over 60 peer-reviewed publications. He advises six Ph.D. students and has mentored numerous undergraduates. Awards include the ACM Senior Member distinction (2025), CHI Best Paper (2023), and NSF CAREER Award (2023). Professional service includes program committees for CHI, CSCW, and UbiComp, plus leadership roles in workshops like the Workgroup on Interactive Systems in Healthcare (WISH). Beyond academia, Epstein enjoys hiking, collecting turtle figures, and advocating for accessible technology.
Professor Brent Mittelstadt is a leading academic in data ethics and AI governance at the University of Oxford's Oxford Internet Institute (OII), serving as Professor of Data Ethics and Policy and Director of Research. He coordinates the Governance of Emerging Technologies (GET) programme, focusing on ethics, law, and technology interplay. His work bridges academic research with policy impact, contributing frameworks like 'counterfactual explanations' and fairness metrics ('Conditional Demographic Disparity') used globally. He leads high-profile projects such as Trustworthiness Auditing for AI and A Right to Reasonable Inferences in Advertising and Financial Services. Research interests span AI ethics, medical ethics, technology governance, and non-discrimination law. He has pioneered ethical frameworks addressing algorithmic bias, GDPR compliance, and AI accountability. His work has influenced policy bodies like the UK Information Commissioner’s Office and the European Commission, and is implemented by tech giants such as Google and Microsoft. Awarded O2RB Excellence in Impact Awards (2018, 2021) and PLSC Best Paper (2019) Funded by Wellcome Trust, Sloan Foundation, and others Advisory roles for NHSx, GSK Consumer Healthcare, and regulatory bodies Recent work focuses on AI regulation (EU AI Act), generative AI ethics, and healthcare AI governance. He co-leads the OxonFair toolkit for algorithmic fairness and investigates societal impacts of deepfake proliferation and large language models.
Steve Worthington is an Adjunct Professor at Swinburne University of Technology's School of Business, Law and Entrepreneurship in Melbourne, Australia. Previously, he held a Professorship in Marketing at Monash University until 2013. His research focuses on financial services distribution via electronic channels, payment systems regulation, and cross-cultural financial practices. He has contributed extensively to academic journals such as the International Journal of Bank Marketing and practitioner outlets like The Financial Times and ANZ's BlueNotes . His work includes analyses of payment card markets in China and Japan, regulatory interventions in Australia's payment system, and expert testimony on financial services marketing disputes. Worthington's research interests span payment systems innovation, consumer behavior in financial contexts, and the intersection of technology with financial services. Notable contributions include studies on cashless society debates, payment fraud dynamics, and the cultural dimensions influencing financial product adoption. He frequently engages with industry conferences and media, offering insights into emerging trends like digital payment adoption and regulatory challenges in the financial sector. His publications highlight interdisciplinary approaches, blending economic policy analysis with marketing strategy. Key themes include the societal implications of cash decline, fairness perceptions in financial services, and the ethical dimensions of payment technologies. Despite no explicit awards listed, his prolific media engagement and advisory roles reflect recognition of his expertise in payment systems and financial markets.
Dr. Koustuv Saha is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC), leading the OnCARE lab. He holds a PhD from Georgia Tech and a B.Tech from IIT Kharagpur. His research focuses on computational social science, social computing, and ethical AI applications in mental health and wellbeing. His work bridges computer science with psychology, sociology, and public policy to address societal challenges. Education: PhD in Computer Science (Georgia Tech, 2021), B.Tech in CSE (IIT Kharagpur, 2012). Previous roles include Senior Researcher at Microsoft Research Montreal (FATE group) and industry research experience in Silicon Valley. Research interests include wellbeing sensing technologies, algorithmic fairness, and large language models’ societal impacts. Recent work examines caregiver mental health, deceptive wellness apps, and AI ethics in content moderation. His studies combine causal inference, NLP, and multimodal data analysis. Publications span top venues like CHI, CSCW, ICWSM, and JMIR. Notable awards include Georgia Tech’s Outstanding Dissertation Award (2022) and Snap Research Fellowship (2020). He advises on AI governance and collaborates with policymakers, clinicians, and industry. OnCARE lab explores human-centered AI for societal good, with projects on mental health support systems, ethical tech design, and algorithmic transparency in health contexts. Current focus includes caregiver AI tools, LLM-based empathetic systems, and workplace wellbeing interventions.
Dr. June Cao is an Associate Professor at the University of Southampton . Her research focuses on Environmental, Social, and Governance (ESG) Accounting , Corporate Social Responsibility (CSR) , and Sustainability Reporting , with a particular emphasis on Greenwashing , Carbon Emission Trading , and Accounting Education . Key research areas include ESG, CSR, and sustainability frameworks. Prominent publications analyze environmental regulation, green revenues, and digital transformation in sustainability. Her recent work explores greenwashing behaviors, peer benchmarking, and labor investment dynamics. Scientific Awards : None explicitly mentioned in the data. Notable collaborations include co-authoring papers with scholars from Curtin University , Satya Wacana Christian University , and Xiamen University . Her contributions to Systematic Literature Reviews and Bibliometric Analysis highlight her methodological expertise.
Dr. Asieh Hosseini Tabaghdehi is a Senior Lecturer in Strategy & Business Economy at Brunel Business School, Brunel University of London. She serves as Programme Lead for the BSc International Business Programme and Trade2Grow Executive Education Programme. Additionally, she is Impact Lead at the Brunel Centre for AI: Social and Digital Innovation, where she leads the capability area in the Future of Work. Dr. Tabaghdehi is also an economist and social impact advisor for the independent NGO, Social Innovation Movement. Dr. Tabaghdehi earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from Brunel University London. She also holds a BA in Theoretical Economics from University of Mazandaran. She completed the Postgraduate Certificate in Academic Practice and is a Fellow of the Higher Education Academy. Dr. Tabaghdehi is internationally recognized for her research on digital transformation, with particular expertise in the ethical integration of artificial intelligence and digital technologies. Her work focuses on how emerging technologies shape industries, labor markets, and society, with emphasis on enhancing SME growth through technological innovation. She explores applications across critical sectors including social care, supply chain management, and environmental sustainability. A central theme in her research is smart data governance, ensuring ethical, transparent, and responsible use of data in decision-making processes. Her research portfolio demonstrates a consistent focus on the intersection of technology, ethics, and business strategy. She has developed frameworks like the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Her work connects academic research with practical policy applications, as evidenced by her presentations as oral and written evidence to the House of Commons Select Committee. Her publications span AI ethics, digital footprint implications, fertility economics, and healthcare cost analysis, showing interdisciplinary breadth while maintaining thematic coherence around digital transformation's societal impact. Scientific Awards and Recognition Semi-finalist: Research Impact Award at Brunel University London, 2023 Staff Award: Exceptional in Collegiality and Supportive to Colleagues at Brunel University London, 2022 Exceptional Performance at Regents University London, 2018-19 Staff Award in Teaching, Learning and Assessment at Regents University London, 2016 Best Lecturer Award at London Brunel International College, 2014 Best Lecturer Award at London Brunel International College, 2013 Dr. Tabaghdehi actively supervises PhD students researching areas including Smart Data Governance, Ethical AI Governance, Digital Innovation Impact, Responsible AI Adoption Strategies, Sustainability, and Future of Labour Market. She has secured research funding from multiple sources including the Economic & Social Research Council (ESRC), Brunel University London, and Brunel Business School. Her current projects include research on AI Adoption and Governance, Youth digital addiction, Algorithm Reliability Framework, and SMEs digital footprints. She has also co-designed the "Digital Adoption" module for the UK Government's Help to Grow Management program, demonstrating the practical application of her research. As a member of multiple professional organizations, Dr. Tabaghdehi serves as an associate practitioner at Social Value International, associate member of the Big Innovation Centre, and member of the All-Party Parliamentary Group on AI. She is also a member of the ESRC Review College, British Academy of Management Review College, and Energy Institute UK, contributing to the broader academic and policy communities through these roles.
Mircea Epure is the Serra Hunter Associate Professor at the Department of Economics and Business at Universitat Pompeu Fabra (UPF). He holds affiliated professorships at the UPF-Barcelona School of Management and the Barcelona School of Economics. His research focuses on governance, corporate performance, entrepreneurship, and accounting, with notable contributions to understanding firm strategies during crises, public policy impacts, and signaling mechanisms in corporate social responsibility. Epure's work has been published in leading journals and recognized with awards such as the Best Paper Prize at the Financial Markets and Corporate Governance Conference. His research has been cited in prestigious outlets like the World Bank studies and The Oxford Handbook of Corporate Law and Governance. He teaches graduate and undergraduate courses on organizational dynamics and management accounting. Key research themes include the real effects of public grants during crises, strategic responses to uncertainty, and the role of organizational identity in firm performance. Epure has explored topics ranging from macroprudential policies to the opaque aspects of ESG reporting during crises. His interdisciplinary approach bridges corporate governance, entrepreneurship, and financial accountability. Awards: ICQS Nomination, Financial Markets Conference Best Paper Grants: Funding from La Caixa Foundation and CEIBS Cathay Cross-border Private Equity Research Fund Labs/Teams: Collaborates with the Barcelona School of Economics and UPF-Barcelona School of Management research networks
Felix Gille is a researcher at the University of Zurich , affiliated with the Institute for Implementation Science in Health Care under the Faculty of Medicine. He leads the DSI-funded project "Data handling, security and protection: reaching conceptual equivalence for the concept of public trust in national electronic health records in Switzerland and neighboring countries," collaborating with Prof. von Wyl (IfIS/DSI, UZH) and Prof. Thouvenin (Faculty of Law, UZH). His work bridges health system and policy research, digital health, data law, and data security. Education: BSc in European Public Health, Maastricht University MMedSc in Health Economics, Policy and Management, Karolinska Institute PhD in Public Trust in Healthcare Systems, London School of Hygiene and Tropical Medicine Research Focus: Gille specializes in public trust dynamics within healthcare systems, particularly examining data governance, health policy, and ethical dimensions of digital health innovations. His projects analyze cross-national trust frameworks, biobanking ethics, AI in healthcare, and pandemic data sharing mechanisms. Scientific Contributions: His publications address critical issues such as GDPR impacts on research, trustworthiness of mHealth apps, and interdisciplinary approaches to health data policy. Articles span 2015–2025, emphasizing conceptual trust models, policy harmonization, and stakeholder engagement in health data systems. Awards & Roles: Fellow of the Swiss School of Public Health Associate Editor for Public Health Reviews
Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications
Dr. John Robert Bautista is Assistant Professor at University of Missouri's School of Nursing, employing socio-technical approaches to examine technology impacts on health professionals and consumers. Research spans blockchain applications, AI ethics, and health misinformation. Education includes: PhD in Health Informatics and Health Communication, Nanyang Technological University Postdoctoral Fellowship, UT Austin iSchool MPH, University of the Philippines - Manila BSN, Trinity University of Asia Current research develops ethical AI frameworks for clinical decision support and blockchain-based identity management systems. Publications appear in Computers in Human Behavior, International Journal of Medical Informatics, and JMIR journals. Projects examine clinical adoption of emerging technologies, focusing on implementation challenges and ethical considerations for AI systems in healthcare settings.
Dr. Suresh Radhakrishnan is a Constantine Konstans Distinguished Professor of Accounting and Director of Research at the Institute for Excellence in Corporate Governance within the Naveen Jindal School of Management at The University of Texas at Dallas. His research focuses on valuation of intangible assets, corporate governance, and the impact of social responsibility initiatives on business performance. He has authored numerous articles in top-tier journals across accounting, finance, and information systems. Radhakrishnan holds a PhD from New York University (1991), an MS from NYU (1989), and a BCom from the University of Madras (1980), with certifications from The Institute of Chartered Accountants of India. His teaching excellence has been recognized through awards from Rutgers University and NYU, as well as the Naveen Jindal School’s Outstanding Graduate Teacher of the Year Award (2001, 2007). Over his career, he has mentored nearly 20 PhD students and contributed to groundbreaking studies, including the 2006 paper linking corporate charitable giving to revenue growth in consumer industries. His current work explores macroeconomic outlooks, M&A quality, and the sustainability of decentralized systems like Bitcoin. Education: PhD in Accounting, New York University, 1991 MS in Accounting, New York University, 1989 Bachelor of Commerce, University of Madras, India, 1980 Awards: Herman E. Krooss Award for Best Dissertation, NYU (1992) Multiple teaching awards including the NJ SOM’s top honor Research Themes: Corporate governance mechanisms Earnings management and financial reporting Social capital’s role in disclosure practices
Matthias Lang is an Associate Professor of Economics at Ludwig Maximilian University (LMU) Munich, specializing in applied microeconomic theory. He holds a PhD from the Bonn Graduate School of Economics and is Principal Investigator of the Collaborative Research Centre/Transregio 190 (CRC TRR 190) on 'Rationality and Competition.' He is also a CESifo Fellow. His research focuses on uncertainty, contract design, and behavioral economics, with applications to insurance fraud, tax evasion, and political competition. Lang has served as an Assistant Professor at Freie Universität Berlin and Humboldt University Berlin, and was a Senior Research Fellow at the Max Planck Institute for Research on Collective Goods. His work bridges game theory, mechanism design, and decision theory, addressing strategic uncertainty and contractual solutions to mitigate its effects. He has been awarded the Walther-Rathenau Award for Best Paper (2015) for his work on communicating subjective evaluations. His recent research explores ambiguous product information dynamics, narrative-based mechanisms, and the value of transparency in campaign promises. Lang actively contributes to academic communities through numerous presentations at international conferences and serves on editorial review boards for top journals.
Molka Abbes is an Associate Professor of Marketing at NEOMA Business School , with a PhD in Management Sciences from Université Panthéon Assas. She teaches experiential/sensorial marketing, customer centricity, netnography, and luxury retailing across initial training, continuing education, and executive programs. PhD, Management Sciences, Université Panthéon Assas Her research focuses on trust dynamics in consumer-retailer relationships , the evolution of experiential marketing , and digital transformation in financial services . Recent work explores technology acceptance in e-banking and gaming consumption experiences. Key trends in her publications include: Digital signatures and user literacy in banking Trust-commitment-satisfaction interplay in retail Virtualization of consumer experiences Structural analysis of relationship marketing Molka is a member of the Smart Products and Consumption Institute (SPoC) and serves as a visiting professor at the University of International Business and Economics (UIBE) in Beijing.
Milan Brkljač is an Assistant Professor at Alfa BK University, affiliated with the Faculty of Finance, Banking and Auditing. He holds a PhD from the University of Novi Sad (2021), with research focused on marketing, consumer behavior, and sharing economy dynamics. His professional journey includes roles at NIS GAZPROM NEFT, Digipuls d.o.o., and the University of Modern Business in Belgrade. Education: BSc/MSc from University of Novi Sad (Faculty of Economics in Subotica), PhD (2021) on 'Determinants of Intentions to Use Sharing Economy Services among the Millennial Generation'. Research Interests: Marketing strategies in digital age, consumer decision-making, sharing economy, blockchain applications in agriculture, and CSR in banking. He has conducted study visits to TU Munich and DAAAM International Vienna, and holds certifications in Digital Marketing (Google Ads) and ECDL. Awards: Ministry of Education Scholarship (2008-2010), FESTO Scholarship (2018), and first prize for promotional video (2010). Active in professional communities like Serbian Marketing Association (SeMa). Grants/Advising: Multiple academic publications, involvement in employer branding and talent recruitment studies. Fluent in English and German, with piano skills from Isidor Bajić Music High School.
Professor Hazel Bateman is a Professor and Deputy Dean in the School of Risk and Actuarial Studies at UNSW Sydney’s Business School. She also serves as Deputy Director of the ARC Centre of Excellence in Population Ageing Research (CEPAR). Her research focuses on pension economics, behavioral retirement finance, and lifecycle financial decisions, particularly exploring how choice architecture, financial literacy, and information influence retirement planning, superannuation, and housing wealth utilization. Roles: Deputy Dean (Business School), CEPAR Deputy Director, Professor of Risk & Actuarial Studies Research Themes: Pension systems, long-term care insurance demand, reverse mortgages, behavioral economics in retirement finance Her work addresses critical issues such as the role of housing wealth in retirement portfolios, intergenerational wealth transfer dynamics, and the impact of financial advice on consumer decisions. She has contributed to policy debates on retirement income strategies and public reverse mortgage schemes in Australia. Key Trends in Publications: Recent studies emphasize behavioral factors in financial decision-making, the intersection of health and retirement finance, and policy design for aging populations. Her research often combines experimental methodologies with longitudinal data to assess consumer preferences and systemic impacts. Grants & Collaborations: Involved in CEPAR’s multidisciplinary projects, though specific grant details are not listed here. Research partnerships include analyses of aging demographics in China and Australia. Labs/Teams: Leads research initiatives within the School of Risk and Actuarial Studies and collaborates with CEPAR teams on population aging challenges.
