Gizem Kayişoğlu is an Assistant Professor in the Department of Maritime Transportation and Management Engineering at Istanbul Technical University. Her research focuses on cybersecurity challenges in maritime systems, human error probability, and risk assessment methodologies. She actively explores vulnerabilities in shipboard systems such as ECDIS, VDR, and radar while emphasizing regulatory compliance and maritime safety standards. Her work integrates frameworks like CORAS, Fuzzy FUCOM, and SLIM to address cybersecurity dynamics and human factors in maritime operations. Key collaborations involve analyzing ransomware threats, AIS system vulnerabilities, and port infrastructure protection through interdisciplinary approaches. Her articles highlight trends in maritime cybersecurity, including ransomware mitigation, cyber hygiene practices, and critical infrastructure protection. She has contributed to developing risk assessment tools and checklists tailored for maritime environments, emphasizing both technological and human aspects of safety. No scientific awards have been explicitly mentioned. She has not listed formal advisees, and her professional activities focus on advancing maritime cybersecurity through academic and applied research.
FOONG Pin Sym is a Senior Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. She leads the Telehealth Core, a research center focused on developing and studying eHealth projects. Her academic background includes a Master's in Human Computer Interaction Design and a PhD in Interactive Media. Her research emphasizes patient-centered technologies, with a focus on chronic disease prevention, caregiver support, and mobile health applications. Her work addresses challenges in healthcare decision-making, end-of-life care, and lifestyle interventions. Notable projects include developing digital tools for diabetes risk communication, caregiver decision support systems, and studies on telehealth during the pandemic. She teaches courses in Human-Computer Interaction, Mobile Interaction Design, and Technology for Older Adults. Her research spans qualitative and quantitative methodologies, including randomized controlled trials and participatory action research. She actively participates in interdisciplinary collaborations across health, technology, and design sectors to improve patient and caregiver outcomes. Education: PhD in Interactive Media, Master's in Human Computer Interaction Design Labs/Teams: Leads the Telehealth Core research team Grants/Projects: SMART-GDM Study, Vita project for dementia care
Dr. Thomas E. Doyle is an Associate Professor at the McMaster School of Biomedical Engineering and the Department of Electrical & Computer Engineering at McMaster University. His research focuses on biomedical signal processing, human-computer interfacing (HCI), and machine learning applications for healthcare augmentation, rehabilitation, and enhancement. He holds a Ph.D. from Western Ontario, Canada, and teaches courses like COMPENG 2DI4 (Logic Design). His work bridges cybernetics and clinical applications, emphasizing AI-driven solutions for medical diagnostics, patient monitoring, and space exploration. Education: B.E.Sc, B.Sc, M.E.Sc, Ph.D. from Western Ontario, Canada Recent Projects: Developed AI systems for remote healthcare diagnostics (2023) Collaborated with NASA on medical emergency simulators for deep space missions (2017–2023) Led ventilator development efforts for local hospitals during the pandemic (2020) His research interests span machine learning for mental health diagnostics, trust quantification in medical AI, and extended reality (XR) for medical training. He emphasizes interdisciplinary approaches, integrating computational methods with healthcare challenges. Recent publications highlight applications in pediatric emergency care, chronic pain management, and reliable medical device design. Dr. Doyle actively engages in educational initiatives, including first-year engineering pedagogy and experiential learning programs. He has received funding for projects such as the Educating the Engineer of 2025 (EtE-25) awards and contributes to initiatives like the Digital & Smart Systems and Health & Bio-innovation research clusters at McMaster.
Professor Stephen Cave is the Academic Director of the Leverhulme Centre for the Future of Intelligence (CFI) and Co-Director of the Institute for Technology and Humanity at the University of Cambridge. With a PhD in Philosophy from Cambridge, he previously served as a policy advisor and diplomat in the British Foreign Office for nearly a decade before returning to academia. Education: PhD in Philosophy, University of Cambridge Current Roles: Academic Director (CFI), Co-Director (Institute for Technology and Humanity) Media Engagement: Regular contributor to Financial Times , Guardian , New York Times , and media appearances on BBC and NPR His research bridges philosophy and ethics of technology , with two primary strands: (1) the ethics of AI and robotics , focusing on responsible AI development and societal impact through works like AI Narratives and Feminist AI ; and (2) the ethics of life-extension and immortality , explored in Immortality and Should You Choose to Live Forever? . Recent publications analyze algorithmic fairness, gender representation in AI narratives, and digital death. The articles listed reflect his engagement with responsible AI frameworks , cultural portrayals of AI , and existential implications of life extension . His work often synthesizes historical, ethical, and cultural perspectives to address contemporary challenges in AI governance and mortality philosophy.
Steven W. Popper is a Professor of Policy Analysis at the RAND School of Public Policy and an Adjunct Senior Economist at the RAND Corporation. He also serves as Distinguished Professor of Decision Sciences at Tecnológico de Monterrey’s School of Government and Public Transformation, reflecting his international academic engagement. His work bridges economics, science and technology policy, and strategic decision-making under uncertainty. Research Interests: Popper's expertise lies in decision-making under deep uncertainty (DMDU), robust decision making (RDM), assumption-based planning, and science, technology, and innovation policy. He has made seminal contributions to long-term policy analysis, particularly through his co-authorship of Shaping the Next One Hundred Years (2003). His research addresses complex systems in economic development, international relations, and environmental planning. Publication Trends: His recent work applies RDM methodologies to diverse domains such as U.S.-China economic competition, Israeli defense and energy policy, transportation planning, and future technologies. His publications often involve scenario analysis, foresight, and adaptive strategies for policy resilience in uncertain futures. Scientific Awards and Leadership: Founding officer and current Finance Chair, Society for Decision Making under Deep Uncertainty Past Chair, Industrial Science and Technology Section, American Association for the Advancement of Science Consultant to the World Bank, OECD, and multiple national governments Advising and Grants: While specific advisees are not listed, Popper has led numerous high-impact research projects funded by U.S. federal agencies and international bodies. His role as Associate Director of the Science and Technology Policy Institute (1996–2001) involved providing analytic support to the White House Office of Science and Technology Policy, indicating extensive grant-funded research leadership. Labs and Teams: Popper is affiliated with RAND’s research teams focused on policy analysis, innovation, and strategic foresight. He collaborates with interdisciplinary teams applying modeling and simulation tools to public policy challenges, particularly through the Robust Decision Making framework.
Cassidy R. Sugimoto is the Tom and Marie Patton Professor and School Chair at the Jimmy and Rosalynn Carter School of Public Policy at Georgia Institute of Technology. She previously held a professorship in Informatics at Indiana University Bloomington (2010–2021) and served as Program Director for the Science of Science and Innovation Policy at the National Science Foundation (2018–2020). Her research focuses on knowledge production systems, equity in STEM, scientific collaboration dynamics, and research evaluation metrics. She holds degrees from the University of North Carolina at Chapel Hill including a B.Mus. in Music Performance, M.S. in Library Science, and Ph.D. in Information and Library Science. Research interests include: Structural inequities in science and technology Ethical authorship practices Global scientific collaboration patterns Open science initiatives Gender and diversity in academic careers Notable awards include the 2020 Bicentennial Service Award from Indiana University and 2014 Trustees Teaching Award. Her recent work examines intersectional disparities in science, AI ethics, and systemic barriers to equity in academic publishing. Key contributions include co-authoring Equity for Women in Science (2023) and foundational scholarship on alternative metrics beyond citation counts. She advises on science policy matters related to institutional equity and open access publishing.
Jon M. Peha is a Full Professor in the Department of Engineering and Public Policy and the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He serves as Founder and Director of the Center for Executive Education in Technology Policy (CEE-TP) and maintains affiliations with the CyLab Security and Privacy Institute and the Information Networking Institute. His career uniquely bridges government service (as FCC Chief Technologist, White House OSTP Assistant Director, and congressional advisor), industry leadership (as CTO for three tech startups), and academic research. Education: Ph.D. in Electrical Engineering, Stanford University (1991) M.S. in Electrical Engineering, Stanford University (1986) B.S. in Electrical Engineering and Computer Science, Brown University (1984) Peha's research spans the technical and policy dimensions of information networks, with particular focus on spectrum management, broadband Internet architecture, wireless communications, cybersecurity, and communications for emergency response. His work integrates engineering principles with economic and regulatory analysis to address real-world challenges in telecommunications infrastructure. Current projects examine connected vehicle communications, spectrum sharing models, and consumer-centric broadband labeling systems that emerged from his large-scale user studies. His research publications demonstrate consistent leadership in both technical innovation and policy analysis, with recent work addressing satellite interference mitigation, V2X communications, and pandemic-era internet performance. The breadth of his scholarship reflects his unique position at the intersection of engineering practice and policy formulation. Scientific Awards: IEEE Fellow AAAS Fellow FCC Excellence in Engineering Award IEEE Communications Society TCCN Publication Award Brown Engineering Medal AAAS Featured Science and Technology Policy Fellow (40@40) Peha actively engages with policymakers through congressional testimony, FCC consultation, and White House advisory roles. His government service has directly informed his academic work on spectrum policy, network neutrality, and public safety communications. He has supervised numerous graduate students across EPP, ECE, and INI programs, with research spanning vehicular networks, spectrum sharing, and emergency communications systems. As Director of CEE-TP, he leads executive education initiatives that bridge technical expertise and policy decision-making. His work with CyLab focuses on cybersecurity and privacy challenges in broadband systems and connected vehicles. Current projects include developing cost-effective spectrum sharing models for intelligent transportation systems and analyzing the economic implications of multi-network access architectures in 5G networks.
Maureen Meadows is a Professor of Strategic Management at Coventry University's Research Centre for Business in Society. Her work focuses on strategic decision-making, big data applications, privacy in business models, and M&A dynamics. She previously held leadership roles at the Open University and Warwick Business School, where she contributed to strategic management education and research. Education: PhD in Open University (2016) MSc in Management Science from University of Warwick (1987) Bachelor of Arts in Mathematics (Oxford University, 1986) Research Interests: Strategic management tools (e.g., scenario planning), customer data analytics, privacy implications of data sharing, and post-merger integration. She has co-led projects on surveillance society blurring and privacy in the digital economy, funded by Leverhulme and EPSRC. Key Projects: Leverhulme-funded 'Taking Liberties?' (surveillance society) EPSRC-funded 'Monetize Me?' (privacy and quantified self) Co-designing digital strategies for museums and education sectors Grants & Collaborations: Multiple internally-funded projects on board assurance frameworks, creative accounting, and hybrid business models in museums. Active in international conferences and professional bodies like BAM Council. Awards: While no specific prizes are listed, her h-index of 24 and 1,891 citations reflect significant scholarly impact.
Dr. Alireza Nili is a Senior Lecturer in Service Science at QUT's School of Information Systems within the Faculty of Science. His expertise spans digitization of customer-centric services, AI/chatbots, IoT/IIoT, and sustainable technologies. He holds a PhD from Victoria University of Wellington and has coordinated large-scale courses like IT Systems Design (IFB103), achieving top teaching scores. Nili's research focuses on service ecosystems, trust in digital services, and public/retail sector innovations. He has secured over $1.4M in industry grants for projects involving Cisco, Amazon, and Services Australia. His awards include the 2023 Educator of the Year and multiple top conference paper recognitions. Nili supervises PhD students at Level 3 mentoring status and contributes to major conferences as track chair/associate editor. Research highlights include frameworks for chatbot governance, IOT in agriculture, and AI ethics. His work appears in IEEE Software , Communications of the ACM , and MIT Sloan Management Review . Current projects address consumer trust in AI technologies and spatial data systems. Nili's interdisciplinary approach combines design science with empirical methodologies to bridge theory and practice in digital service innovation.
Dr. Thijs Broekhuizen is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specializing in Innovation Management & Strategy. He currently serves as Scientific Director of the University of Groningen Business School, Coordinator of the Northern-Netherlands Innovation Monitor, and Programme Director of the Executive MBA. His research focuses on digital transformation, value creation in innovation, and digital business models, with interdisciplinary insights bridging strategy, innovation, and digitalization. Education: PhD in Marketing (University of Groningen, 2006) MSc in Marketing (University of Groningen, 2001) Research Interests: Broekhuizen explores value appropriation in technology-driven contexts, digital business models, and strategic responses to disruptive technologies. His work emphasizes SMEs' digital transformation challenges, organizational identity during technological change, and AI-driven innovation management. Key areas include digital platforms, motion picture industries, and social media dynamics. Grants & Projects: TALENT4S3 (€165K, Interreg 2024-2028) SIRM (€189K, Interreg 2023-2027) NWO-funded studies on construction industry profitability and online customer journeys Awards: Best Paper Award at ISoF 2021 Best Short Paper Award Nomination 2021 Teaching & Leadership: Broekhuizen teaches strategy and digitalization in executive programs and has led the MScBA and EMBA initiatives. His educational roles include Programme Director of the Executive MBA (Energy Transition, Health, Sustainable Business Models tracks) and member of the Groningen Digital Business Centre. Labs/Teams: He coordinates the Northern-Netherlands Innovation Monitor (surveying 10,000+ SMEs) and collaborates with the Groningen Digital Business Centre to advance digital strategy research.
Natasha Zhang Foutz is a Research Associate Professor of Commerce at the McIntire School of Commerce, University of Virginia . Her work bridges Artificial Intelligence , Marketing Analytics , and Consumer Behavior , with a focus on Digital Content and Location-Based Services . She teaches Marketing Analytics , Entertainment Marketing , and Marketing Models across undergraduate to PhD programs. Ph.D. in Marketing, Cornell University M.S. in Statistics & Marketing, Cornell University B.S. in Economics, Fudan University Her research investigates: AI-Powered Entertainment Marketing : Using machine learning to analyze consumer behavior in digital content. Privacy and Ethical Data Use : Studying consumer trade-offs between privacy and public good, especially during crises like the COVID-19 pandemic . Location Analytics : Leveraging mobile data for urban economics, real estate, and emergency response modeling (e.g., MobiRescue for disaster logistics). Prosocial Consumer Behavior : Exploring how social capital and diversity drive innovation and policy compliance. Recent publications highlight trends in Reinforcement Learning for crisis management, Privacy-Preserving AI , and Freemium Pricing Models in digital markets. Her awards include the 2025 UVA Outstanding Researcher Award and the 2018 Mallen Award for motion picture studies. Natasha serves as an Area Editor for multiple journals, emphasizing Data Science in marketing. She has advised numerous PhD students and collaborated on projects analyzing Big Data in consumer mobility and platform economics.
Aybars Tuncdogan is a Reader in Digital Innovation and Information Security at King’s Business School, King’s College London. He holds affiliations with the King’s AI Institute, King’s Cybersecurity Centre (Informatics), and King’s Cybersecurity Group (War Studies). A Fellow of the Higher Education Academy, he also serves on the editorial review board of Industrial Marketing Management . Education : PhD in Management, Rotterdam School of Management, Erasmus University MPhil in Business Research (Distinction), Erasmus University Bachelor’s in Business Management & Computer Science (Honors), Earlham College Research Interests : His work focuses on three pillars of digital innovation: generation (crowdsourcing, AI), marketing (digital brand personality, sales ambidexterity), and protection (information security, corporate espionage). He integrates psychology (individual differences, social identity) and computer science (machine learning/AI) frameworks. Publications Trends : Recent work addresses cybersecurity challenges in retail, AI ethics in healthcare, and interdisciplinary innovation. He frequently publishes in top-tier journals like Journal of Management and Scientific American , blending academic rigor with practitioner impact. Awards & Contributions : 2015 Best Paper Award (shared) Edited books including Oxford Handbook of Individual Differences and Strategic Renewal Teaching & Pedagogy : Develops innovative teaching methods like inquiry-based learning to foster student creativity. Taught modules on digital marketing, consumer behavior, and research methods. Labs/Teams : Contributes to cybersecurity initiatives at King’s, focusing on AI-driven defense mechanisms and organizational cyber resilience strategies.
Song Ma is a Professor of Finance and Entrepreneurship at Yale School of Management and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). He is also an affiliated faculty member at Yale Law School Center for the Study of Corporate Law and Yale SOM Program on Entrepreneurship, having joined Yale SOM Faculty in 2016. His educational background includes: PhD in Finance from Duke University's Fuqua School of Business (2016) BA in Economics from Zhejiang University (2010) Professor Ma's research primarily focuses on innovation economics, entrepreneurship, financial economics, AI, and big data. His work extends to corporate strategy, industrial organization, antitrust, labor, and business law. He has made significant contributions to understanding how innovation interacts with financial markets, corporate strategy, and competition policy, particularly through his influential 'Killer Acquisitions' paper which has been cited in Congressional antitrust reports and lawsuits against major tech companies. His recent publications demonstrate an interdisciplinary approach combining finance, economics, and data science methodologies. Many papers examine the intersection of innovation and corporate finance, with increasing incorporation of AI and big data techniques as seen in his video analysis research. His work shows evolution from traditional finance topics toward more policy-relevant research with real-world impact on antitrust regulation and innovation policy. Professor Ma has received numerous prestigious awards: 2023 Best Paper Award, China International Conference in Finance 2022 Best Paper on Competition Economics, Association of Competition Economics 2022 Jerry S. Cohen Award for Antitrust Scholarship 2021 GARP Best Paper in Risk Management Award 40 Under 40 Best Business School Professors by Poets & Quants (2021) Robert F. Lanzillotti Prize for Antitrust Economics (2020) Jensen Prize for Best Paper on Corporate Finance (2019) In teaching, Professor Ma delivers popular courses including 'Entrepreneurial Finance,' 'Venture Capital and Private Equity,' and 'Finance and the Society.' He co-organizes WEFI (Workshop on Entrepreneurial Finance and Innovation), a bi-weekly virtual research forum. His research has been referenced by major regulatory bodies worldwide including the FTC, EU Competition Commission, and UK Competition and Markets Authority, and featured in leading media outlets like Wall Street Journal and New York Times. Professor Ma actively incorporates new data science technologies into his empirical economic research, focusing on unstructured data analysis and machine learning applications.
Dustin Tingley is a Professor of Government at Harvard University and holds a joint appointment at the Harvard Kennedy School of Public Policy . He serves as Interim Vice Provost for Advances in Learning and directs the Data Science and Technology Group and the Harvard Initiative on Learning and Teaching . He earned a PhD in Politics from Princeton and a BA in political science and math from the University of Rochester. Key Roles : Deputy Vice Provost (past), Chair of Harvard's Standing Committee on Climate Education Research Focus : Climate change politics, data science, causal inference, and international political economy His recent work explores the political economy of climate transitions , public opinion on carbon policies , and machine learning applications in social sciences . He co-founded ABLConnect , a repository for active learning pedagogy, and organized conferences on causal mechanisms , teaching with AI , and equitable classrooms . Awards : Gladys M. Kammerer Award (2015) for co-authored book Sailing the Water’s Edge Notable Publications : Uncertain Futures: How to Unlock the Climate Impasse (2023, with Alex Gazmararian) The Political Economy of the Clean Energy Transition (2025)
Kari Ingstad is a Professor of Sociology at the Faculty of Nursing and Health Sciences, Nord University, and currently serves as Vice-Dean for Research. Her work bridges academia, clinical practice, and policy, focusing on healthcare organization, leadership, and innovation in Norway's health sector. She holds a PhD in Sociology from NTNU (2011) and has extensive clinical experience in municipal and specialist healthcare. Education: PhD in Sociology, NTNU, 2011 Nursing background from municipal and specialist healthcare sectors Research Interests: Workforce planning and staffing strategies in healthcare Impact of shift scheduling on employee well-being and patient safety Integration of artificial intelligence in healthcare operations Cross-sectoral collaboration and innovation in health services Recent Research Trends: Her 2024 publications emphasize strategic staffing solutions, AI-driven shift planning, and long-shift work-life balance. Key projects include the OptiCare-AI initiative (Norwegian Research Council-funded), exploring AI applications for optimizing healthcare resource allocation. Leadership & Grants: Leads the Acute Care, Innovation and Patient Safety (AKIP) research group Principal Investigator on OptiCare-AI (2023–present) Labs/Teams: Active collaborations with the AKIP group and national/international networks on healthcare workforce issues.
