جست‌وجوی استاد و پژوهشگر

Julie Beth Schweitzerمشاهده پروفایل

استاد

• ADHD
• Cognitive Neuroscience
• Neuroimaging
• +۷ مورد دیگر

Julie Beth Schweitzer is a Professor in the Department of Psychiatry and Behavioral Sciences at UC Davis Health School of Medicine and a key figure at the MIND Institute. She serves as Director of the CTSC Mentoring Academy for Research Excellence (MARE), Director of the Mentored Clinical Research Training Program (MCRTP), and Co-Director of the CTSC TL1 Program. Her work bridges cognitive neuroscience and clinical psychology, focusing on ADHD across the lifespan and its comorbidities. Education: A.B. from University of Southern California (1982), M.S. (1987) and Ph.D. (1990) in Clinical Psychology from University of Massachusetts Amherst, with internship at University of Minnesota and fellowship at Emory University. Dr. Schweitzer's research explores brain-behavior-environmental relationships in ADHD, utilizing neuroimaging to study self-control development and designing tech-based interventions like virtual reality and computerized games to enhance attention and academic outcomes in ADHD and autism. Her work spans developmental psychology, translational neuroscience, and mental health technology. Recent publications highlight her focus on predicting ADHD symptom trajectories, environmental influences (e.g., phthalate exposure, neighborhood conditions), and behavioral interventions (e.g., fidget devices). Studies also address cognitive functioning in autism-ADHD comorbidity and irritability as a predictive factor. Scientific Awards & Honors Dean's Award for Excellence in Mentoring, UC Davis Health (2024) President Elect, International Society for Child and Adolescent Psychopathology (2027-2029) Selected Fellow, Association for Psychological Science (2018) Sigma Xi Grant in Aid of Research (1989) Predoctoral Traineeship, U.S. Department of Education (1984-1987) Dr. Schweitzer actively trains translational scientists through the UC Davis Clinical and Translational Science Center, emphasizing mentoring excellence. Her leadership roles and research programs underscore her commitment to advancing ADHD and developmental disorder studies, integrating clinical practice, neuroscience, and environmental health.

Alfons Oude Lansinkمشاهده پروفایل

استاد

• Dynamic Technical and Economic Efficiency
• Productivity Analysis
• Sustainable Food Supply Chains
• +۷ مورد دیگر

Alfons Oude Lansink is a Professor and Chairholder in Business Economics at Wageningen University, Netherlands. He holds adjunct professorships at Universitas Padjadjaran (Indonesia) and the University of Florida (USA), and serves on the Dutch Ministry of Agriculture's CDM committee and Rabobank's scientific advisory board. His academic career spans roles as director of Wageningen School of Social Sciences (WASS) and Secretary-General of the European Association of Agricultural Economists. Education: MSc and PhD in Agricultural Economics from Wageningen University Leadership: Head of Business Economics group since 2003 His research focuses on dynamic technical and economic efficiency , sustainable performance of food supply chains , and economics of plant health . Recent work examines climate adaptation strategies, circular economy applications, and cross-border agri-food innovation dynamics using advanced econometric models. Key projects include MINDSTEP (modeling farm decisions), Closing the Loop (insect-based agriculture), and Food Pro-tec-ts (transboundary food technologies). Publications address topics like: Technical efficiency in dairy and arable farming Economic impacts of climate change on agriculture Corporate social responsibility in food manufacturing Policy evaluation for biogas and organic farming He serves as: Secretary/Treasurer of agricultural economics journal foundation Advisor to Universitas Padjadjaran (Indonesia) on policy and PhD supervision Editorial board member of Agronomy Journal and European Review of Agricultural Economics

Brooks Casasمشاهده پروفایل

استاد

• Decision Neuroscience
• Computational Psychiatry
• Social Decision-Making
• +۱۲ مورد دیگر

Brooks Casas, Ph.D., is a Professor at the Fralin Biomedical Research Institute at VTC, with joint appointments in the Department of Psychology (College of Science), Department of Biomedical Engineering and Mechanics (College of Engineering), and the Department of Psychiatry and Behavioral Medicine (School of Medicine) at Virginia Tech. He is also a College of Science Faculty Fellow, recognized for his contributions to decision neuroscience and computational psychiatry. Ph.D. in Psychology, Harvard University Postdoctoral Fellowship, Baylor College of Medicine Former Assistant Professor of Neuroscience and Psychiatry, Baylor College of Medicine Brooks Casas investigates the neural computations underlying social decision-making, focusing on how valuation, learning, and social preferences shape human choices. His research integrates decision neuroscience, behavioral economics, and social psychology to understand both normative and pathological decision processes. Key areas include trust, risk preferences, social influence, and impaired decision-making in psychiatric disorders such as substance abuse and borderline personality disorder. His lab employs fMRI, computational modeling, and longitudinal studies to explore these phenomena. His recent publications span topics such as machine learning applications in diagnosing borderline personality disorder, neural predictors of adolescent risk behaviors, and the role of cognitive control in substance use. His work often involves large-scale longitudinal studies, such as the decade-long investigation into early life adversity and brain development with Jungmeen Kim-Spoon. He has not received any explicitly mentioned scientific awards in the provided text. Casas leads the Casas Lab within the Center for Human Neuroscience Research and collaborates extensively with students and researchers across disciplines. His work is supported by grants from the National Institutes of Health and the Institute for Society, Culture, and Environment. He advises multiple graduate students and early-career researchers, contributing significantly to training in computational psychiatry and decision neuroscience. His lab, the Casas Lab, is part of the Fralin Biomedical Research Institute and focuses on human neuroscience research, particularly using neuroimaging and behavioral experiments to study social and economic decision-making.

Jian Zhaoمشاهده پروفایل

دانشیار

• Information Visualization (InfoVis)
• Human-Computer Interaction (HCI)
• Data Science
• +۶ مورد دیگر

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

Julia Powlesمشاهده پروفایل

دانشیار

• Privacy
• Artificial Intelligence
• Internet Governance
• +۷ مورد دیگر

Julia Powles is an Associate Professor at the UWA Law School and Director of the UWA Tech & Policy Lab. Her research focuses on privacy, intellectual property, internet governance, and the legal and political dimensions of data, automation, and AI. She has led investigations into high-profile cases like the NHS/Google DeepMind data breach and Sidewalk Labs’ smart city project. Currently, she advises on national robotics strategy, responsible AI, and privacy policies in Australia. With a background spanning academia, policy, and law, she holds roles in global committees and contributes to media outlets like the New Yorker and Financial Times. Her work bridges legal frameworks and technological innovation, emphasizing ethical governance and societal impact. Education: BSc (Hons) ANU, LLB (Hons) UWA, BCL Oxford, PhD Cantab. Expertise includes AI ethics, data privacy, and regulatory policy. Recent projects address drone delivery systems, corporate accountability of Big Tech, and governance in health monitoring. Awards include the 40 Under 40 Award for WA (2022) and Poynter Fellowship (2018). Grants include the Children’s Online Safety Program (2024–2027) and Minderoo Foundation initiatives. She chairs the PRIS Universities Network and co-chairs international tech policy summits. Roles: Director, UWA Tech & Policy Lab; Expert on National AI Centre, WA Privacy Committee. Research: Over 100 outputs, focusing on AI governance, corporate liability, and tech ethics.

Gillian Hayesمشاهده پروفایل

استاد

• Human-Computer Interaction
• Ubiquitous Computing
• Assistive Technologies
• +۴ مورد دیگر

Gillian Hayes is the Vice Provost for Academic Personnel and a Chancellor’s Professor at the University of California, Irvine (UCI). She holds joint appointments in the Department of Informatics (Donald Bren School of Information and Computer Sciences), School of Education, and School of Medicine. Her research focuses on human-computer interaction, assistive technologies, and digital health interventions for children with ADHD and autism. She leads the STAR Group, which designs technologies to address real-world challenges in healthcare and education. Education: PhD in Computing from Georgia Tech, and degrees from Vanderbilt University. Professional roles include Vice Provost for Graduate Education, Dean of the Graduate Division, and faculty director of multiple programs, including the Master of Human Computer Interaction and Design. Research interests include child development, health informatics, and ethical technology deployment. Notable projects include the CERES initiative and work on smartwatch interventions for ADHD. Over 100 peer-reviewed publications and 6 books/chapters highlight her contributions. Scientific awards include NSF CAREER Award, ACM SIGCHI Academy, and recognition for teaching and innovation in accessibility. Advises graduate students in informatics, computer science, and education. Active in leadership roles at UCI and the Computing Research Association (CRA Board member). Labs/Teams: STAR Group, Intel Science and Technology Center (ISTC) collaborator, and co-founder of AVIAA and Tiwahe Technology. Focuses on interdisciplinary research with global collaborators.

Rosalyn Moranمشاهده پروفایل

استاد

• Computational Neuroscience
• Computational Psychiatry
• Neurodegenerative Diseases
• +۵ مورد دیگر

Professor Rosalyn Moran is a Professor of Computational Neuroscience and Deputy Director of King's Institute for Artificial Intelligence at King's College London. She holds roles in the Department of Neuroimaging and School of Neuroscience within the Institute of Psychiatry, Psychology & Neuroscience. Her research focuses on computational neuroscience, computational psychiatry, and neurology, particularly integrating brain connectivity with algorithmic principles like the free energy principle. She explores neurotransmitter roles in decision-making and disease modeling, with applications in artificial intelligence and neurodegenerative disorders. Moran serves as an editor for Neuroimage and collaborates with leading institutions. Key projects include global neuroimaging initiatives (UNITY) and low-field MRI advancements in low-resource settings. Her work bridges Bayesian inference, AI, and neurobiology, with recent emphasis on pediatric neuroimaging and treatment-resistant psychosis. Education & Research Interests Rosalyn Moran's research spans computational psychiatry, neuroimaging techniques, and AI applications in healthcare. Her lab investigates serotonin and dopamine signaling, brain connectivity patterns, and predictive coding frameworks. Notable contributions include modeling NMDA receptor dysfunction in encephalitis and developing super-resolution MRI methods for global health contexts. Grants & Collaborations Funded projects include MRC Human Functional Genomics (2024-2028), NIHR Maudsley BRC (2022-2027), and Gates Foundation initiatives for low-field MRI enhancement. Collaborators include Karl Friston (UCL), Read Montague (Virginia Tech), and Klaas Enno Stephan (University of Zurich). Recent events include presenting the Free Energy Principle's role in generative AI (May 2023). Labs & Teams Her lab focuses on computational psychiatry and AI-driven neuroimaging solutions, collaborating with the King’s Global Health Institute to advance medical imaging accessibility in low-income regions.

Kaveri Medappaمشاهده پروفایل

پژوهشگر ارشد

• Labour Anthropology
• Critical Mobility Studies
• Feminist Political Economy
• +۴ مورد دیگر

Kaveri Medappa is a Postdoctoral Researcher in Human Geography at the University of Oxford's Department for Continuing Education and a Junior Research Fellow at Kellogg College. She contributes to a multi-institutional ESRC-funded project, 'Trucking Lives: Making Space for People in Truck Driving Work', focusing on UK HGV drivers' work-life conditions. Formerly associated with the University of Sussex, where she earned her PhD in International Development (2022), and St. Joseph’s College, Bengaluru. Doctoral research on app-based workers in Bengaluru under Prof Geert De Neve and Dr Rebecca Prentice Teaching experience in Anthropology and Social Work across UK and India Previous role as Research Associate in 'Speculative Urbanism' project Her expertise spans labour anthropology , critical mobility studies , and feminist political economy , examining intersections of digital technologies, financialisation, and social movements. Recent publications highlight gig economy dynamics, platform worker rights, and speculative finance impacts. Key trends in her research include: Digital labor platform governance (2020–2023) Comparative truck driving work (2024) Financialisation and social reproduction (2022–2025) Urban displacement and affective landscapes (2020) Scientific recognition includes: DSA 'Highly Commended' PhD Thesis Prize (2023) Adam Weiler Doctoral Research with Impact Award (2022) Chancellor’s International Research Scholarship (2018–2021) Her work connects academic research with public scholarship through policy briefs, media contributions, and podcast appearances.

Vikram Nandaمشاهده پروفایل

استاد

• Corporate Finance
• Financial Institutions
• Behavioral Finance
• +۵ مورد دیگر

Dr. Vikram Nanda is the O.P. Jindal Distinguished Chair Professor of Finance at the Naveen Jindal School of Management, University of Texas at Dallas. He holds a PhD in Finance from the University of Chicago, MBA from Yale University, and a Bachelor of Technology from Indian Institute of Technology Kanpur. His research focuses on corporate finance, financial institutions, and behavioral finance, with emphasis on topics like hedge fund strategies, managerial overconfidence, and corruption's economic impacts. Key research highlights include studies on multi-market trading (best paper award), litigation risk effects on contracting, and cryptocurrency bubble detection. He has served on editorial boards for Journal of Financial Research and Financial Letters , and contributed to non-academic publications like Barron’s . His work spans 30+ years across top-tier institutions including USC, University of Michigan, and Georgia Tech. Current research explores AI's role in investment management, gender diversity in executive roles, and legal frameworks affecting corporate behavior. Awards include Smith Breeden Prize nominations and Q-Group research grants. Educations: PhD (Chicago), MBA (Yale), B.Tech (IIT Kanpur) Affiliations: Financial Intermediation Research Society, European Finance Association Labs/Teams: Behavioral Finance Research Group, Corporate Governance Initiative He advises on strategic financial decisions and has authored/coauthored over 50 publications. Recent work examines environmental, social, and governance (ESG) investment strategies and the impact of trade secret laws on financial opacity.

Reuben Binnsمشاهده پروفایل

دانشیار

• Data Protection
• Machine Learning
• AI Ethics
• +۵ مورد دیگر

Dr. Reuben Binns is an Associate Professor of Human Centred Computing at the University of Oxford , where he investigates intersections between computer science, law, and philosophy. His research focuses on data protection , machine learning ethics , and regulation of technology .

Michelle Lamplمشاهده پروفایل

استاد

• Biological Anthropology
• Human Growth and Development
• Nutrition Science
• +۳ مورد دیگر

Dr. Michelle Lampl is the Charles Howard Candler Professor at Emory University and Director of the Emory Center for the Study of Human Health. She holds leadership roles in the Emory-Georgia Tech Predictive Health Initiative and the Center for Health Discovery & Well Being. Her academic career spans over three decades, with a focus on human growth and development from an interdisciplinary perspective. Dr. Lampl earned her PhD (1983) and MD (1989) from the University of Pennsylvania. Her research revolutionized understanding of growth patterns through her discovery of saltatory growth (spurt-based growth cycles). Current studies investigate genetic/environmental interactions influencing growth, including hormonal, nutritional, and immunological networks. Her research portfolio includes collaborations with international institutions like the University of Southampton (UK) and NIH-funded projects through NICHD. Over 100 peer-reviewed publications highlight her contributions to developmental origins of health and disease (DOHaD), fetal programming, and pediatric growth mechanisms. Dr. Lampl pioneered the undergraduate College programs in human health and co-developed Emory’s Predictive Health strategic plan. She launched the Predictive Health & Society minor and contributes to the Molecules to Mankind graduate program. Her awards include AAAS Fellowship (2010) and Emory’s top teaching honor. Key areas of impact: Established growth chart limitations through saltation theory Linked maternal nutrition to fetal growth trajectories Advocated for interdisciplinary health education

Aileen Nielsenمشاهده پروفایل

پژوهشگر ارشد

• Regulatory Law
• Technology Law
• AI Ethics
• +۳ مورد دیگر

Aileen Nielsen is a Ph.D. Candidate at ETH Zurich's Center for Law & Economics and a Fellow in Law & Tech. She holds a J.D. from Yale Law School, a B.A. in Anthropology from Princeton University, and advanced degrees in Applied Physics (Columbia) and Comparative Human Development (University of Chicago). Her research focuses on regulatory and judicial responses to technological innovation, particularly in AI governance, data privacy, and medical technology. She has practiced law in NYC and worked in tech startups across healthcare and political organizations. Education: Ph.D. Candidate (ETH Zurich), J.D. (Yale), M.S. Applied Physics (Columbia), M.A. Comparative Human Development (Chicago), B.A. Anthropology (Princeton) Her work combines empirical and experimental methods to address challenges like algorithmic fairness, AI liability in medicine, and public perceptions of data markets. Recent findings explore regulatory frameworks for AI systems and the ethical implications of algorithmic surveillance. She teaches courses on algorithms and fairness, law & tech research, and authentication security. Publications span law journals, cybersecurity white papers, and AI ethics conferences, with a focus on balancing innovation with societal accountability. Her books Practical Fairness and Practical Time Series Analysis further bridge technical and legal domains.

Ben Greenمشاهده پروفایل

استادیار

• AI Ethics
• Algorithmic Fairness
• Human-Algorithm Interactions
• +۵ مورد دیگر

Ben Green is an Assistant Professor in the University of Michigan School of Information and a courtesy Assistant Professor in the Gerald R. Ford School of Public Policy. He holds a PhD in Applied Mathematics from Harvard University with a secondary focus on Science, Technology, and Society. His research examines algorithmic ethics, fairness, and governance, aiming to reduce harms and advance social justice. Notable works include The Smart Enough City (2019) and his forthcoming Algorithmic Realism . He is affiliated with the Berkman Klein Center for Internet & Society at Harvard and the Center for Democracy & Technology. Education: PhD in Applied Mathematics, Harvard University (with secondary field in Science, Technology & Society) BS in Mathematics & Physics, Yale University Research Interests: Algorithmic fairness in public policy Human-algorithm interaction dynamics Regulatory frameworks for AI Equity-centered data science practices Urban technology policy His recent publications explore themes like the limitations of human oversight in algorithmic systems, the sociotechnical challenges of implementing ethical AI, and the intersection of legal reasoning with computational systems. His writing emphasizes actionable solutions to systemic biases in algorithmic governance. Ben’s current projects include advancing algorithmic realism – a framework for grounding data science in socially just practices – and analyzing how counterfactual explanations influence judicial decisions. He serves on multiple interdisciplinary advisory boards and frequently collaborates with policymakers to translate research into actionable strategies.

Hemant K. Bhargavaمشاهده پروفایل

استاد

• Technology Management
• Management Information Systems
• Economics of Information Technology
• +۱۲ مورد دیگر

Hemant K. Bhargava is a Distinguished Professor at the Graduate School of Management, University of California Davis, where he holds the Jerome and Elsie Suran Chair in Technology Management. He serves as Associate Dean for Academic Affairs and Director of the Center for Analytics and Technology in Society (CATS), and previously served as Associate Dean for Instructional Programs (2010–2013) and Faculty Chair. He co-founded and was the first Academic Director of the UC Davis Master of Science in Business Analytics (MSBA) program. His educational background includes: Ph.D. in Decision Sciences, The Wharton School, University of Pennsylvania (1989) MBA, Indian Institute of Management Bangalore (1986) B.S. in Mathematics, University of Delhi (1984) Bhargava is a leading scholar in technology management, information systems, and decision analytics. His research focuses on the economics of digital goods and platforms, pricing strategies, AI in business, healthcare IT, and platform ecosystems. He builds economic models to study operations, marketing, and competitive strategy in tech-driven markets, with applications in healthcare, media, electric vehicles, and generative AI. His recent publications reveal a strong trend toward platform business models, data sharing, AI’s impact on research and education, and healthcare cost transparency. He explores how digital platforms shape competition, how data can be leveraged across markets, and how real-time decision tools can reduce prescription drug costs. His work bridges theory and practice, often involving collaboration with industry and policy makers. His scientific awards include: INFORMS Journal on Computing Test of Time Award (2023) INFORMS CIST Best Paper Award (2021) Google Research Excellence Gift (2017–18) Distinguished Alumni Award, IIM Bangalore (2024) INFORMS ISS President's Service Award (2023) Global 100 Top Academic Data Leaders (2020) Bhargava has played a pivotal role in academic leadership and program development. He co-founded the Theory in Economics of Information Systems (TEIS) workshop and has served on editorial boards of top journals including Management Science (where he is Department Editor for Information Systems), Operations Research, and Marketing Science. He has advised numerous campus initiatives, including the UC Davis Data Lab and Religions of India Initiative. His grants and collaborations include work with Google and healthcare organizations on real-time price transparency tools. He leads the Center for Analytics and Technology in Society (CATS), which focuses on the societal implications of data and AI. He also co-founded the MSBA program and continues to shape the future of business education in the age of AI through strategic planning committees.

Blayne Haggartمشاهده پروفایل

استاد

• International Political Economy
• International Relations
• Digital Policy
• +۳ مورد دیگر

Blayne Haggart is a Professor in Political Science at Brock University, Canada. His research focuses on the international political economy of knowledge, particularly intellectual property rights, data governance, and internet governance. He previously worked as a professional journalist and economist with the Parliamentary Information and Research Service before transitioning to academia. BA (Carleton University) MA (University of Toronto) MA (Carleton-NPSIA) PhD (Carleton University) Dr. Haggart's current research explores: International Political Economy frameworks Digital policy and governance Intellectual property rights in the digital age North American political economy dynamics Intersections between sports and politics His scholarly work has been published in leading journals including: Canadian Public Administration Telecommunications Policy Journal of Digital Media & Policy Journal of Information Policy Dr. Haggart serves as: Senior Fellow with the Centre for International Governance Innovation Associate Senior Fellow with the Käte Hamburger Kolleg/Centre for Global Cooperation Research