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Stefan PenczynskiView profile

Associate Professor

• Behavioral Economics
• Behavioral Game Theory
• Information Economics
• +12 more

Stefan Penczynski is Associate Professor in Economics at the School of Economics, University of East Anglia (UEA). He is a member of the Centre for Behavioural and Experimental Social Science and contributes to the Behavioral Economics research group. He also serves as the subject-area coordinator for Economics in UEA’s Vegan Studies Network, reflecting his interdisciplinary engagement. His research lies at the intersection of behavioral and experimental economics, focusing on Behavioral Game Theory , Information Economics , Political Economy , and Development Economics . He investigates economic behaviors such as information disclosure, social learning, auction bidding, jury voting, and trust, using innovative experimental methods that incorporate natural language evaluation. He is particularly interested in how communication and framing affect decision-making in strategic contexts. The recent trend in his publications (2023–2025) centers on game-theoretic modeling of real-world behaviors, including vaccination decisions, team reasoning, trust in institutions, and resource allocation. These works appear in high-quality journals such as Games and Economic Behavior , Experimental Economics , and Quantitative Economics , showcasing a strong methodological emphasis on experimental design and behavioral insights. Stefan supervises PhD research in areas related to behavioral and experimental economics, with a focus on consumption decisions (e.g., nutrition) and the use of natural language in experiments. While no specific grants are detailed beyond a completed project with the Israeli Prime Minister’s Office (2017–2019), his ongoing publication output suggests active research funding and collaboration. He is affiliated with the Centre for Behavioural and Experimental Social Science (CBESS) at UEA, a hub for interdisciplinary experimental research. His work often involves collaboration with scholars across economics and behavioral science, contributing to a dynamic research environment focused on human decision-making in strategic and institutional contexts.

Michal A. MankowskiView profile

Assistant Professor

• Transplantation Medicine
• Health Equity in Organ Allocation
• Immunogenetics
• +7 more

Michal A. Mankowski, PhD, is an Assistant Professor in the Department of Surgery at NYU Grossman School of Medicine, where he conducts impactful research in transplantation medicine. His work bridges clinical needs with data science and policy innovation, focusing on improving equity and efficiency in organ allocation systems. His research interests center on transplantation bioinformatics , HLA immunogenetics , and health equity , with a strong emphasis on kidney and liver allocation. He investigates how electronic health records and large language models can be leveraged—and secured—within clinical transplant settings. His work also explores the impact of patient comorbidities, such as delirium, on transplant access and outcomes. Recent publications reveal a strong trend toward integrating data science , machine learning , and policy modeling in organ transplantation. His research spans technical immunogenetic analysis (e.g., eplet mismatch) to ethical and operational challenges in national allocation systems. He frequently collaborates with leaders in transplant epidemiology and bioinformatics, contributing to high-impact journals such as American Journal of Transplantation and Nature Medicine . Scientific Awards : No awards are listed in the provided text. Advising and Grants : While no specific students or grants are listed, his role as an Assistant Professor and active publication record suggest involvement in mentoring graduate or medical students and securing research funding in transplantation informatics and policy. His collaborations indicate participation in multi-institutional research teams and likely grant-funded projects related to organ allocation and AI in medicine. Labs and Teams : Dr. Mankowski is part of a robust transplant research ecosystem at NYU Grossman School of Medicine, collaborating extensively with teams focused on transplant outcomes, immunogenetics, and health services research. He contributes to projects involving large databases such as the Scientific Registry of Transplant Recipients (SRTR) and Epic Cosmos, suggesting integration within data-driven clinical research networks.

Ramya Korlakai VinayakView profile

Assistant Professor

• Machine Learning
• Statistical Inference
• Crowdsourcing
• +2 more

Ramya Korlakai Vinayak is the Dugald C. Jackson Assistant Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. She also holds affiliations with the Department of Computer Science and the Department of Statistics at UW-Madison. Her research program bridges theoretical machine learning with practical applications in data science and crowdsourcing. Education: PhD in Electrical Engineering from California Institute of Technology (Caltech), advised by Prof. Babak Hassibi B.Tech in Electrical Engineering with minor in Physics from Indian Institute of Technology Madras (IIT Madras) Dr. Vinayak's research focuses on developing theoretically grounded machine learning tools for reliable inference using data from human sources. Her work spans machine learning theory, statistical inference, and crowdsourcing systems, with particular emphasis on preference learning, metric learning, and robust dataset construction. She has pioneered methods for learning from limited pairwise comparisons, auto-labeling systems, and human-in-the-loop out-of-distribution detection. Her recent publications reveal a consistent trajectory toward building practical machine learning systems that incorporate human feedback while maintaining theoretical guarantees. The pattern shows increasing focus on ethical considerations in AI, particularly regarding bias in generative models and reliable human-AI collaboration frameworks. Scientific Awards: Faculty for the Future fellowship (2013-2015) from Schlumberger Foundation NSF CAREER Award American Family Funding Initiative Award with Fred Sala Dr. Vinayak leads an active research group with multiple PhD students across ECE and CS departments. She has secured significant research funding including an NSF grant for "Uncovering the cognitive and neural fingerprints that make each of us unique" in collaboration with Tim Rogers, Rob Nowak and Brad Postle. She is also co-organizing the MidWest Machine Learning Symposium and NeurIPS tutorials on dataset construction. Her research group operates at the intersection of theory and practice, developing mathematically grounded frameworks that address real-world challenges in dataset construction, human-AI collaboration, and reliable machine learning systems.

• Artificial Intelligence
• Machine Learning
• Federated Learning
• +7 more

Shuguang Cui is the X.Q. Deng Presidential Chair Professor in the Department of Electrical and Computer Engineering at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He holds a PhD from Stanford University and has previously served on the faculties of the University of Arizona, Texas A&M University, and UC Davis. His research lies at the intersection of artificial intelligence and communication networks, particularly in AI+Networking , with major contributions in federated learning over wireless systems, intelligent reflecting surfaces, UAV trajectory optimization, and energy-efficient edge computing. His work bridges machine learning theory with practical communication system design. The recent publications reflect a strong trend toward integrating distributed AI with wireless network constraints, focusing on reducing communication overhead, optimizing resource allocation, and enhancing learning efficiency in edge environments. Key themes include federated learning convergence, hybrid VLC-RF systems, and intelligent surface-assisted communications. Award highlights include: IEEE Fellow (2013) IEEE Marconi Prize Paper Award (2023) Fellow of the Royal Society of Canada (2023) Fellow of the Canadian Academy of Engineering (2023) Multiple IEEE best paper awards (Globecom, WCNC, ICC) Thomson Reuters Highly Cited Researcher (2014) Prof. Cui has served in leadership roles such as Vice Chair of the IEEE VT Fellow Evaluation Committee, member of the IEEE ComSoc Award Committee, and currently as Editor-in-Chief of IEEE Transactions on Mobile Computing . He has secured significant research impact through high-visibility publications in top-tier journals and conferences, shaping the future of AI-driven wireless systems. He leads a research group focused on next-generation intelligent networks, supervising graduate students and collaborating across institutions. His team actively contributes to advancing the theoretical and practical foundations of AI-enabled communications.

• Social Philosophy
• Collective Responsibility
• AI Ethics
• +3 more

Pekka Mäkelä is a Research Coordinator and Vice-Director at the Helsinki Institute for Social Sciences and Humanities (HSSH), University of Helsinki. He holds a permanent position in the Department of Social and Moral Philosophy, Faculty of Social Sciences, and has led major projects like Robophilosophy , AI ethics , and Trust research . His career spans roles as a Researcher, Adjunct teacher, and organizer of international workshops. Research Focus: Social ontology Collective moral responsibility Human-robot interaction ethics Trust and social capital Group action theory Publication Trends: Recent work (2023-2025) addresses AI ethics, robotic accountability, and institutional responsibility frameworks, often through collective intentionality lenses. Scientific Awards: Finnish Cultural Foundation grants (2001-2003) Advising: Supervised PhD candidates including Säde Hormio and Miguel Garcia, with ongoing mentorship of pro graduate theses since 2005. Labs/Teams: Core member of HSSH, TINT Centre, and RADAR research units focusing on AI ethics and collective responsibility.

Debbie BecherView profile

Associate Professor

• Sociology of Law
• Economic Sociology
• Urban Sociology
• +7 more

Debbie Becher is an Associate Professor of Sociology at Barnard College, Columbia University, with a research focus at the intersection of economic sociology, the sociology of law, and urban and rural sociology. She is affiliated with the Institute for Social and Economic Research and Policy (ISERP) and the Barnard Center for Research on Women, and teaches courses in law and society, urban inequality, social theory, and social justice. Her research centers on private property, particularly the social and institutional dynamics of land ownership, eminent domain, and resource extraction. She explores how property rights are constructed, contested, and valued in both urban and rural contexts, emphasizing the role of emotional, financial, and cognitive investment in shaping property claims. Author of Private Property and Public Power: Eminent Domain in Philadelphia (Oxford University Press, 2014) Current book project: A Fractured Nation (under contract with Oxford University Press), examining property rights in oil extraction zones in the Northern Plains Research investigates how institutions enforce a 'logic of investment' in property, shaping legitimacy and claims of injustice Focus on how power imbalances and uncertainty affect property negotiations in energy development Her recent publications analyze land inequalities, property and identity, race in eminent domain, and the valuation politics of privatization. The articles reflect a consistent engagement with legal institutions, social justice, and the lived experience of property. Zelizer Award for Best Book in Economic Sociology (2016, Co-Winner) Hart Socio-Legal Prize for Early Career Academics (2015) National Science Foundation Grant (2015) Visiting Scholar, American Academy of Arts and Sciences (2009–10) Fellow, Brookings Institution, AAUW, Princeton University programs Debbie Becher has advised numerous students and contributed to public discourse through interviews, podcasts, and book reviews. Her work is supported by competitive grants and fellowships, reflecting its interdisciplinary reach and scholarly impact. She is actively engaged in mentoring and public sociology, connecting academic research to broader social issues. She is involved in interdisciplinary research teams through ISERP and the Barnard Center for Research on Women, contributing to collaborative projects on urban citizenship, social inequality, and legal sociology.

• Animal Migration
• Behavioral Ecology
• Collective Decision-Making
• +3 more

Dr. Andrea Flack is an Independent Emmy Noether Group Leader at the Max Planck Institute of Animal Behavior, Konstanz, Germany, and a Junior Group Leader at the Centre for the Advanced Study of Collective Behaviour, University of Konstanz. Her research focuses on understanding how ecological, environmental, and genetic factors shape migratory behaviors in birds, particularly white storks, and their evolutionary consequences. Current Positions: Independent Emmy Noether Group Leader, Max Planck Institute of Animal Behavior (2022–present) Junior Group Leader, Centre for the Advanced Study of Collective Behaviour (2020–present) Education: DPhil in Zoology (2009), University of Oxford Diploma in Biology (2009), Freie Universität Berlin Her work integrates cutting-edge technologies such as high-resolution GPS, accelerometers, and on-board cameras with experimental approaches like delayed-releases and cross-fostering to explore behavioral variation and its implications. Recent research highlights include social learning in migration and the impact of anthropogenic habitats on stork movement patterns. Key trends across her publications emphasize collective decision-making, environmental adaptation, and technological innovations in tracking. Notable contributions appear in journals like PNAS , Current Biology , and Journal of Applied Ecology . Scientific Awards: Emmy Noether Fellowship Dr. Flack collaborates extensively, utilizing Movebank for data integration and leading studies on avian collision risks and migration phenology. Her lab team includes researchers like William Fiedler and Emily Aikens , focusing on experimental designs and ecological modeling.

Yaser S. Abu-MostafaView profile

Professor

• Artificial Intelligence
• Machine Learning
• Medical Applications of AI
• +4 more

Yaser S. Abu-Mostafa is a Professor of Electrical Engineering and Computer Science at the California Institute of Technology (Caltech), with a distinguished career spanning over four decades. He earned his B.Sc. from Cairo University in 1979, an M.S.E.E. from Georgia Tech in 1981, and a Ph.D. from Caltech in 1983. Holding roles such as Garrett Research Fellow (1983), Assistant Professor (1983-89), Associate Professor (1989-94), and Professor since 1994, he has cemented his reputation as a pioneer in artificial intelligence and machine learning. Educational Background B.Sc., Cairo University (1979) M.S.E.E., Georgia Institute of Technology (1981) Ph.D., California Institute of Technology (1983) Abu-Mostafa’s research bridges AI/ML with medical diagnostics and computational finance. His projects include non-invasive blood pressure measurement via ultrasound, AI-based detection of congestive heart failure through video analysis, and early stroke prediction using clot-detection algorithms. These innovations leverage machine learning to address biological variability and real-world complexity. His recent publications focus on predictive modeling for epidemiology (2022, 2021), theoretical advancements in machine learning (2015, 2006, 2005), and foundational work in swarm robotics and financial mathematics (2004). Trends in his work emphasize robustness, adaptability, and interdisciplinary applications. Scientific Awards Clauser Prize (Caltech’s most original Ph.D. thesis) ASCIT Teaching Awards (1986, 1989, 1991) GSC Teaching Awards (1995, 2002) Richard P. Feynman Prize for Excellence in Teaching (1996) Abu-Mostafa Fellowship established by Hertz Foundation (2005) Abu-Mostafa has advised numerous students and led research teams at Caltech, while also serving on scientific advisory boards and consulting for industries. His Caltech MOOC on machine learning has garnered over 8 million views, and his textbook Learning from Data is an Amazon bestseller. He collaborates extensively, including a major project with UCSF on heart failure detection and partnerships in computational finance. His work on a Caltech patent for stroke prediction received a US patent in 2025, alongside other medical AI patents.

• Computer-Supported Collaborative Learning
• Virtual Reality in Education
• Science Education
• +5 more

Rolf Steier serves as Professor at Oslo Metropolitan University within the Faculty of Education and International Studies, Department of Primary and Secondary Teacher Education, holding the position of Head of Studies for Area of Responsibility 5. His office is located at Pilestredet 52, 0167 Oslo (B534), with contact details including mobile +47 906 92 626, office +47 672 36 014, and email rolf.steier@oslomet.no. He actively contributes to the Digital Learning Arenas research group, focusing on technology-enhanced educational environments. Steier's research centers on computer-supported collaborative learning (CSCL) and virtual reality applications in education, with specific expertise in embodied cognition, science education, museum learning, and narrative structures in STEM. His work examines how learners co-construct knowledge through digital interactions, particularly investigating the role of physical embodiment in virtual environments and the integration of narrative techniques to facilitate engagement in informal learning contexts. Recent projects explore immersive VR experiences for collaborative meaning-making and the adaptation of interaction analysis methodologies for technology-mediated educational research. Analysis of Steier's 2021-2025 publications reveals a clear trajectory toward increasingly sophisticated integration of virtual reality in educational research, with growing emphasis on interdisciplinary applications in science education. Key thematic developments include the refinement of interaction analysis frameworks for digital contexts, the exploration of perspective-taking across blended realities, and the strategic use of narrative to enhance STEM engagement in informal settings. His work consistently bridges theoretical learning science with practical educational technology implementation. The Digital Learning Arenas research group serves as the primary platform for Steier's collaborative work, functioning as an interdisciplinary hub for developing and studying innovative digital learning solutions. This group facilitates partnerships across educational sectors to transform teaching practices through emerging technologies, with recent focus on VR-based collaborative learning environments and cross-contextual knowledge transfer.

• Economics of public and private pensions
• Household portfolio and retirement behavior
• Employee benefits and compensation
• +5 more

Olivia S. Mitchell is the International Foundation of Employee Benefit Plans Professor and Professor of Insurance & Risk Management and Business Economics & Policy at The Wharton School, University of Pennsylvania. She serves as Executive Director of the Pension Research Council and Director of the Boettner Center for Pensions and Retirement Research. Dr. Mitchell is also a Research Associate at the NBER, an Independent Director on the Allspring Mutual Fund Boards, and a Research Fellow at the Leibnitz Institute for Financial Research SAFE, Goethe University Frankfurt. Education: BA in Economics from Harvard University, MA and PhD in Economics from University of Wisconsin-Madison Awards: 2024 CIO Lifetime Achievement Award, 2023 Distinguished Fellow of the American Economic Association, multiple accolades including World Economic Forum recognition as Top 10 Women Economist Dr. Mitchell's research focuses on pensions, insurance, financial literacy, and public finance. Her work examines longevity risk, defined contribution pensions, financial literacy impacts on wealth accumulation, and Social Security claiming behavior. Her publications appear in leading journals like the American Economic Review and Journal of Political Economy. Key article themes include behavioral finance in 529 college savings plans, household portfolio underdiversification, longevity income annuities in retirement design, and cognitive decline's impact on financial decisions. Recent studies explore financial literacy's age-related decline and its economic implications. 2024 Lifetime Achievement Award 2023 Distinguished Fellow, AEA Multiple Best Paper Awards (2021, 2020, 2019) Doctoral Honorary Degrees from Goethe University and University of St. Gallen She chairs academic advisory boards, testified before global legislative bodies, and consults with organizations like the World Bank and IMF. Her teaching includes courses on consumer financial decision-making and risk management at Wharton.

Howard SchwartzView profile

Professor

• Machine Learning
• Adaptive Control
• Multi-Agent Machine Learning
• +3 more

Professor Howard Schwartz is a distinguished academic in Electrical and Computer Engineering at Carleton University , with a career spanning academia, industry, and robotics research. He earned his BEng in Civil Engineering from McGill University (1982), followed by MSc (1984) and PhD (1986) in Aerospace and Mechanical Engineering from MIT. His academic leadership includes serving as Department Chairman (2009-2013) and authoring the seminal text Multi-Agent Machine Learning: A Reinforcement Approach (Wiley, 2014). As an Associate Editor for IEEE Transactions on Cybernetics , he shapes discourse in cybernetic systems and machine learning. Research Focus Professor Schwartz's research bridges theoretical and applied domains: Machine learning for robotics and autonomous systems Adaptive control theory and multi-agent systems Reinforcement learning algorithms with fuzzy logic integration Real-time video analytics and GPS receiver development Nonlinear control systems for UAVs and wind energy optimization Industry Experience His career includes impactful industry engagements: Early development of high-performance GPS receivers at Canadian Marconi Co. (1982-1984) Sabbatical at March Networks (2001-2002) for video analytics Software quality control at CMC Electronics (2008) Software development for TV set-top boxes at Espial Inc. (2014-2015)

• Safety Assurance
• Robotics
• Autonomous Systems
• +5 more

Chris Harper is a Senior Research Fellow at the Bristol Robotics Laboratory, affiliated with the Faculty of Engineering and Technology at the University of the West of England. His work focuses on safety assurance in robotics and autonomous systems, with expertise spanning civil aerospace, rail, defense systems, and nuclear energy. AAIP Assistive Robotics in Healthcare CAV Forth ROBOPILOT SafeMRX Research Expertise: With over 25 years in system safety assurance, Harper specializes in safety case development, hazard identification, fault tree analysis (FTA), failure modes & effects analysis (FMEA), and simulation-based safety validation techniques. Key Contributions: He contributed to ISO 13482, the first international safety standard for mobile service robots, and developed the Environmental Survey Hazard Analysis (ESHA) method for autonomous systems. Publications: His work spans safety verification methodologies, swarm intelligence applications, and formal methods integration in autonomous vehicles. Recent articles highlight simulation-based assertion checking and ISO standardization efforts. 15+ years in robotics safety research ISO technical committee participation ESHA method development PhD in robotics safety methodology

• Health Communication
• Vaccination Behavior
• Public Health Policy
• +5 more

Qian Huang is an Assistant Professor at the Department of Journalism & Media Production within Washington State University's Murrow College of Communication. Her research integrates quantitative and qualitative methodologies to examine psychological, behavioral, and social determinants of health behaviors, with a focus on vaccination and public health interventions. PhD in Communication from the University of Miami As a health communication researcher, Huang's work emphasizes message design, interpersonal communication, and innovative strategies to promote health behaviors. Key research areas include: Cues to action in health campaigns Perspective-taking for intergroup relations in healthcare Optimizing health messaging for underserved populations Recent publications address rural colorectal cancer screening, emotional drivers of vaccination, and information overload during the pandemic. Her work has been recognized with top paper awards at the National Communication Association (Chinese Communication Studies Division, 2018; Communication and the Future Division, 2023). Scientific contributions include awards for: Top Paper at NCA Communication and the Future Division (2023) Top Paper at NCA Chinese Communication Studies Division (2018) Huang teaches courses on science communication (COM 400) and science communication research (COM 541), with research activities aligned with Murrow College's health communication initiatives.

Paul BaysView profile

Professor

• Visual Working Memory
• Computational Neuroscience
• Cognitive Psychology
• +5 more

Professor Paul Bays is a leading cognitive neuroscientist at the University of Cambridge, holding a professorship in the Department of Psychology within the School of Biological Sciences. He directs the Computational Cognition Group (Bays Lab), where his research focuses on understanding the neural and computational mechanisms underlying visual working memory and perception. His laboratory employs a diverse range of methodologies including visual psychophysics, extended reality (XR) technology, eye and body movement recordings, mathematical models, and artificial neural networks. Bays Lab collaborates extensively with researchers using brain imaging, recording and stimulation techniques, as well as neuropsychologists studying cognitive aging, mental illness, and neurological disorders. Professor Bays' research has revolutionized our understanding of visual working memory, demonstrating that memory capacity operates as a flexible resource rather than a fixed number of "slots." His work has shown how this resource is dynamically allocated across visual features and how it influences perception, decision-making, and action. A major focus examines how working memory bridges discrete transitions in visual input during eye movements, allowing for continuous visual experience despite frequent shifts in gaze. His laboratory has made significant contributions to understanding sensory prediction and motor learning, particularly regarding tactile attenuation (the phenomenon where self-generated touch feels weaker than externally generated touch). Recent work has applied efficient coding principles to explain various perceptual phenomena including weight illusions. Research Theme: Adaptive Brain Computations Research Theme: Lifelong Brain Development and Brain Ageing Research Theme: Brains and Machines Professor Bays actively supervises PhD students and postdoctoral researchers in the Bays Lab, fostering the next generation of cognitive neuroscientists. His laboratory has developed valuable research tools including the Analogue Report Toolbox for analyzing visual working memory data.

Tracey RogersView profile

Professor

• Marine mammals
• Ecology
• Behavioural Ecology
• +8 more

Professor Tracey Rogers is a distinguished academic at the University of New South Wales, Faculty of Science, School of Biological, Earth and Environmental Sciences. Her research focuses on marine mammals and their adaptation to changing environments, with particular expertise in Antarctic wildlife, predator-prey interactions, and wildlife communication. Her research interests span marine mammal ecology, behavioral ecology, evolutionary biology, and animal behavior. Professor Rogers leads the MammalLab at UNSW, conducting cutting-edge research on various marine mammal species including whales, seals, and dolphins. Her work combines field observations, bioacoustic analysis, and physiological studies to understand how mammals overcome environmental challenges. Professor Rogers's publication record shows a strong focus on marine mammal vocalizations, Antarctic ecosystems, and conservation biology. Her recent work has increasingly incorporated advanced analytical techniques for studying large audio datasets and examining physiological responses to environmental change. 2015: Finalist Australian Academy Science, Nancy Millis Medal 2011: Finalist Eureka Prize People's Choice Science Award 2011: Finalist Eureka Prize Animal Protection, Research & Innovation 2008-2010: Ambassador, Australian Institute of Policy & Science Tall Poppy Program 2009: F.G. Wood Memorial Prize, International Society Marine Mammalogy 2007: Research Award, Australasian Association of Zoological Parks & Aquaria 2005: NSW Tall Poppy Award Professor Rogers has successfully supervised over 20 PhD students to completion, with many now holding prominent positions globally in academia, government agencies, and conservation organizations. She currently supervises five doctoral candidates working on diverse projects related to marine mammal acoustics and ecology. She is an active participant in Scientists in Schools and conducts workshops at the Powerhouse Museum and Taronga Conservation Society Australia.