Joseph A. November is an Associate Professor in the Department of History at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. His research focuses on the history of biomedical computing, distributed computing, and the intersection of technology and medicine. He holds a Ph.D. from Princeton University (2006), an M.A. from the University of Chicago (2002), and a B.A. from Hamilton College (1997). His work includes the award-winning book Biomedical Computing: Digitizing Life in the United States (2012), which explores the co-development of biomedicine and computing technologies. Current projects include Revolutions@home , examining distributed computing in protein folding research, and a biography of computing pioneer Robert S. Ledley. He has received grants from the NSF, NIH, and the Charles Babbage Institute. Teaching interests span the history of science and technology, including courses on the history of medicine, digital humanities, and the role of games in historical education. He actively contributes to professional organizations like SHOT and the History of Science Society. Awards include the Computer History Museum Prize (2013) and the National Institutes of Health DeWitt Stetten Fellowship (2007-2008). His research bridges historical analysis with contemporary issues in technology and biomedical ethics.
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Silvia Lindtner is an Associate Professor at the University of Michigan's School of Information and Director of the Center for Ethics, Society, and Computing (ESC). She holds courtesy appointments in the Penny W. Stamps School of Art and Design and the Digital Studies Institute. Her work focuses on the social and cultural study of technology in China and globally, with a focus on data-driven governance, AI ethics, and the intersection of technology and labor. Lindtner has conducted nearly two decades of fieldwork in China, examining innovation ecosystems, digital economies, and the affective dimensions of state control. She is the author of the award-winning *Prototype Nation: China and the Contested Promise of Innovation* (2020) and co-author of *Technoprecarious* (2020). Education: PhD in Information and Computer Sciences from University of California, Irvine; BS/MS in Media Technology and Design from University of Hagenberg, Austria. Research Interests: Science and Technology Studies (STS), China Studies, HCI, Critical Computing, AI Ethics, Data Governance, Labor Studies, and Transnational Digital Economies. She explores how technological systems shape governance, labor practices, and everyday life, particularly in contexts of global inequality and state surveillance. Awards: Joseph Levenson Prize (2021), Francis L.K. Hsu Book Prize (2021), ACM Distinguished Member (2022), and fellowships from the National Committee on US-China Relations (2021-2023) and China-US Scholars Program (2021-2022). Grants: Supported by NSF, IMLS, Intel Labs, Google Anita Borg, and Chinese National Natural Science Foundation. Leads interdisciplinary initiatives including Tech.Culture.Matters research group and Michigan Interactive and Social Computing (MISC) research group. Labs/Teams: Directs the Center for Ethics, Society, and Computing (ESC) and collaborates with the Lieberthal-Rogel Center for Chinese Studies. Current projects include studies on affective control in AI governance and transnational data practices in healthcare and labor.
Dagfinn Auneمشاهده پروفایل
پژوهشگر ارشد
Dagfinn Aune serves as a Research Fellow at the Department of Epidemiology and Biostatistics within the School of Public Health, Faculty of Medicine at Imperial College London. He concurrently holds positions as Associate Professor at Oslo New University College and Senior Researcher at the Cancer Registry of Norway in Oslo. His work centers on large-scale epidemiological investigations into diet, obesity, and chronic disease mechanisms across international populations. Education: PhD in Epidemiology, Norwegian University of Science and Technology (2016) MSc in Nutrition, University of Oslo (2008) Research interests focus on the interplay between dietary patterns, adiposity, physical activity, and smoking with chronic disease outcomes. His work examines how these factors influence cancer risk (particularly breast, gastrointestinal, and hematological malignancies), pregnancy complications, diabetes progression, and mortality across diverse populations. He employs systematic review methodologies and analyzes data from major cohorts including EPIC and Norwegian registries. Publication trends reveal consistent emphasis on obesity-cancer relationships, with recent work (2023-2025) expanding into metabolomic mediators, cardiometabolic interactions, and rare cancer epidemiology. His research frequently utilizes systematic reviews, meta-analyses, and multinational cohort studies to establish evidence for cancer prevention guidelines. Scientific Awards: No awards specified in source materials Advising and grant activity centers on major collaborative projects including the World Cancer Research Fund's Continuous Update Project, the EPIC study, and South American case-control research. While specific student mentorship isn't documented, his leadership in systematic review protocols suggests substantial training responsibilities. His grant portfolio includes funding from WCRF International and Norwegian research councils for large-scale epidemiological analyses. Labs and teams include the Centre for Translational Nutrition and Food Research at Imperial College London, where he collaborates with nutrition scientists and biostatisticians. He maintains active roles in the EPIC consortium and WCRF International's CUP Global Programme, coordinating multinational analyses of diet-cancer relationships through the Cancer Registry of Norway.
Dr James Helal is the Assistant Dean for Sustainability and a Lecturer in Construction Management at the Melbourne School of Design (MSD), University of Melbourne. His research focuses on integrating life cycle assessment and computational tools into the structural design of tall buildings, emphasizing embodied carbon reduction. He is recognized for developing software frameworks that automate environmental impact analysis in early-stage structural design. Dr Helal teaches materials, structures, and life cycle assessment in construction management. His pedagogical excellence has earned prestigious awards, including the Edward Brown Award for Teaching Excellence. He coordinates the construction major in the Bachelor of Design program. His research addresses structural optimization, tall building sustainability, and environmental flows. Key contributions include frameworks for reducing carbon emissions in tall building design and critiques of decorative architectural elements' environmental impact. Awards: Structures Best Research into Practice Prize (Institution of Structural Engineers) Open Award for Excellence in Teaching (Faculty of Architecture, Building and Planning) Edward Brown Award for Teaching Excellence (University of Melbourne) Advising & Grants: Coordinates construction curriculum but no explicit student advisee list is provided in texts. His work aligns with sustainability-focused research grants. Labs/Teams: Engaged with MSD’s Future Cities Practice and Construction Innovation initiatives.
David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.
Dean Ecklesمشاهده پروفایل
دانشیار
- Social Influence
- Network Analysis
- Causal Inference
- +۴ مورد دیگر
Dean Eckles is an Associate Professor of Marketing at MIT Sloan School of Management and serves as an Associate Director of the MIT Institute for Data, Systems, and Society (IDSS). He is also affiliated with the MIT Schwarzman College of Computing through the Institute for Data, Systems & Society and its Statistics and Data Science Center. Additionally, he leads the analytics research area at the Initiative on the Digital Economy and organizes the annual Conference on Digital Experimentation (CODE@MIT). His educational background includes a BA in philosophy, BS and MS in cognitive science, MS in statistics, and PhD in communication, all from Stanford University. Prior to joining MIT, Eckles worked as a scientist at Facebook, where he contributed to areas including News Feed, messaging, advertising, tools for randomized experiments, and survey methods. He previously held research positions at Nokia and Yahoo. Eckles's research primarily focuses on social influence mediated by interactive technologies, examining how communication technologies mediate, amplify, and direct social influence. His work spans multiple specific areas including social interactions, contagion, and interventions in networks; experimental design and inference in networks; and methods for causal inference. His research often combines social science with advanced statistical methods. His notable publications include research on long ties in social networks and their relationship to economic prosperity, how network structure affects social contagions, and algorithmic transparency in social media platforms. His work has appeared in prestigious journals including PNAS and Nature Human Behaviour, and he has provided expert testimony before the US Senate on algorithmic ranking. Long ties, disruptive life events and economic prosperity (PNAS) Long ties accelerate noisy threshold-based contagions (Nature Human Behaviour) Algorithmic transparency and assessing effects of algorithmic ranking (Senate testimony) Eckles actively shares his research through social media platforms including Bluesky, Twitter, and Mastodon, as well as through his blog and contributions to the Gelman et al. blog. His work bridges academic research with practical applications in technology and policy.
Alexandra Livada is a Professor at the Department of Statistics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). She holds office at two locations: 12 Codringtonos Street, 2nd Floor and 76 Patision Street, Antoniadou Wing, 3rd Floor in Athens, Greece. Her contact information includes email livada@aueb.gr and phone number +30 210-8203521. Dr. Livada earned her BA and MA in Economics from Athens School of Economics and Business followed by a PhD in Economics from Essex University, UK in 1988. Her academic career has spanned several decades with extensive teaching experience at both undergraduate and postgraduate levels. Her research interests encompass a diverse range of quantitative fields: Quantitative economics and applied econometrics Time series analysis and forecasting techniques Income distribution and inequality measurement Applied financial econometrics Business cycles analysis Medical statistics Index numbers and official statistics Professor Livada's publication record demonstrates consistent scholarly productivity across multiple disciplines, with a noticeable trend toward interdisciplinary work connecting economics with healthcare and social policy. Her recent research shows increasing focus on income inequality across different geographic regions, economic sentiment during crises, and the intersection of medical conditions with statistical analysis. Her scholarly contributions have been recognized through numerous citations in leading journals and books. She has served as a referee for prestigious journals including the European Journal of Political Economy, Journal of Public Economics, and Journal of Insurance, Mathematics and Economics. Professional service highlights include: Member of multiple project teams Marie-Curie project supervisor External evaluator for the Greek State Scholarship Foundation (IKY) External evaluator for the Social Sciences and Humanities Research Council of Canada Co-author of the book "Index Numbers and Official Statistics" Professor Livada maintains an active research agenda with collaborations spanning economics, statistics, and medical fields, demonstrating the interdisciplinary nature of contemporary quantitative research.
Elena Agapieمشاهده پروفایل
استادیار
Elena Agapie is an Assistant Professor in the Department of Informatics at the Donald Bren School of Information & Computer Sciences, University of California, Irvine. Her research lies at the intersection of human-computer interaction (HCI), health, and behavior change, focusing on designing technologies that support individuals in adopting and maintaining healthy behaviors through human-centered approaches. She is affiliated with the Connected Learning Lab and the Institute for Future Health at UCI. Her educational background includes a PhD in Human Centered Design and Engineering from the University of Washington, an MS in Computer Science from Harvard University, and a BS in Computer Science from Jacobs University Bremen in Germany. She has also conducted research at Microsoft Research, FXPAL, Intel Labs, and NASA Jet Propulsion Lab. Elena's research focuses on designing tools that integrate evidence-based behavioral interventions with user needs, particularly in mental health, chronic disease management, and social support systems. She explores how technology can support therapist-client collaboration, enable tailored health interventions, and leverage crowd expertise for personalized behavior change plans. Her work often involves participatory design, qualitative studies, and prototyping of interactive systems for diverse populations, including youth, hospitalized patients, and underserved communities. Her recent publications, primarily in top-tier venues like CHI and CSCW, reflect a strong trend toward social computing in health, longitudinal behavior support, and the design of inclusive digital health tools. Key themes include goal setting, conversational agents, social sharing in health tracking, and cross-disciplinary collaboration in health technology development. Best Paper Award (top 1%) at CHI 2017 Honorable Mention Best Paper Award (top 5%) at CHI 2016 Best Paper Award (top 1%) at HCOMP 2015 Honorable Mention Best Paper Award (top 5%) at CHI 2013 Elena has been funded by the National Science Foundation, National Institutes of Health, and UCI internal grants. She actively mentors PhD students including Bruna Oewel, Meeshu Agnihotri, and Mehreen Masood, and is currently recruiting students interested in HCI, health, and behavior change. She previously led the outreach program in the HCDE department at the University of Washington, creating workshops that introduced K–12 students to engineering and human-centered design, reaching over 2,000 students across public schools and community events. She runs initiatives to broaden participation in computing and advises undergraduate students in outreach and curriculum development. Her lab collaborates with clinical partners and interdisciplinary teams to ensure real-world impact of her research.
Prof. Magnus Fröhling is a Full Professor of Circular Economy and Sustainability Assessment at the Technical University of Munich (TUM), leading the Chair of Circular Economy and Sustainability Assessment at TUM Campus Straubing. He holds a doctorate and habilitation from the Karlsruhe Institute of Technology (KIT), specializing in material flow analysis and resource efficiency. His career includes roles as a professor at TU Bergakademie Freiberg before joining TUM in 2018. Fröhling’s research focuses on quantitative approaches for circular economy systems, including industrial value chains, built environments, and bioeconomy. He co-leads the TUM Mission Network Circular Economy, an interdisciplinary platform for research and innovation. **Education:** Bachelor/Master in Industrial Engineering, Karlsruhe University (TH) PhD in Industrial Engineering (2005), Karlsruhe University Habilitation in Business Administration (2011), KIT **Research Interests:** Circular economy concepts for automotive industry, buildings, and energy systems; sustainability assessment in bioeconomy; policy instruments for resource efficiency. His work emphasizes lifecycle analysis and closed-loop systems. **Awards:** TUM Sustainability Award (2021) and recognition for groundbreaking research on sustainability in industrial biotechnology (2020). **Advising & Grants:** Leads research initiatives like CirculaTUM, focusing on interdisciplinary collaboration. His work integrates policy analysis, technological innovation, and industrial ecology to advance sustainability goals. **Labs/Teams:** Active in TUM’s Green Fuel Center and SynBioFoundry@TUM, promoting sustainable energy and biotechnology solutions.
- Avian Ecology and Management
- Terrestrial and Aquatic Invertebrate Ecology
- Wetland Ecology and Assessment
- +۶ مورد دیگر
Craig Davis is a Professor and holds the Bollenbach Chair in Wildlife Management at Oklahoma State University's Department of Natural Resource Ecology & Management. He has been a faculty member since 2001, advancing from Assistant Professor (2001-2007) to Associate Professor (2007-2012), and has served as Bollenbach Chair since 2014. Davis earned his PhD in Wildlife Science from Texas Tech University (1996), an MS from Iowa State University (1991), and a BS from Ohio State University (1988). He is also a Certified Wildlife Biologist through The Wildlife Society. His research focuses on avian ecology, wetland restoration, and gamebird management, with specific interests in fire-grazing interactions, invertebrate communities, and climate change impacts on ecosystems. Key areas include grassland bird survival, wetland classification systems, and the effects of anthropogenic development on wildlife habitats. Davis actively collaborates with conservation organizations and agencies, addressing challenges like invasive species management and water infrastructure resilience. Teaching responsibilities include undergraduate courses on Wildlife Management Techniques and Wetland Ecology, as well as graduate courses like Advanced Wetland Ecology. His grants emphasize wetland restoration outreach, climate adaptation strategies, and studies on northern bobwhite and wild turkey populations. Notable projects include evaluating cellular transmission technology in wildlife monitoring and assessing the impact of extreme weather on gamebird survival. Grants (Selected): Expansion of potential wetland restoration opportunities in Oklahoma (2024-2027) Linking Research and Stakeholder Engagement for Wetland Conservation (2024-2026) Effects of Extreme Weather and Hunting on Northern Bobwhite (2023-2025) Research Themes: Aligns with UN Sustainable Development Goals 15 (Life on Land), 13 (Climate Action), 6 (Clean Water), 11 (Sustainable Cities), 14 (Life Below Water), and 9 (Industry/Infrastructure).
Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.
Joel Gohمشاهده پروفایل
دانشیار
- Health services and systems
- Transportation, logistics and supply chains
- Operations research
- +۶ مورد دیگر
Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .
Gregg M. Garfin is a Professor and Specialist in Climate, Natural Resources, and Policy at the University of Arizona’s School of Natural Resources and the Environment, and Deputy Director for Science Translation and Outreach at the Arizona Institute for Resilience. He holds a Ph.D. in Geosciences from the University of Arizona (2003), an M.S. in Geology and Geography from the University of Massachusetts (1997), and a B.S. in Geology and Geography from the same institution (1993). His work bridges science and societal decision-making, focusing on climate adaptation, drought management, and climate services. He directs the Water, Society, and Policy M.S. Program and has led interdisciplinary projects on climate resilience, including contributions to the Fourth National Climate Assessment. Roles: Professor, Deputy Director, Program Director Affiliations: Arizona Institute for Resilience, School of Natural Resources and the Environment Research Interests His research emphasizes climate adaptation strategies, climate policy, and the co-production of knowledge between scientists and decision-makers. Key areas include: Climate impacts on water resources and ecosystems Extreme heat and drought resilience in urban and border communities Climate change communication and education Awards & Recognition Garfin has received multiple accolades, including AAAS Fellowship (2020), University of Arizona Service Awards (2020, 2015), and the Global Initiative for Academic Networks (GIAN) Visiting Fellowship (2018). His work has been featured in peer-reviewed journals and media outlets, emphasizing actionable science for climate resilience. Grants & Contributions He has led federal and transnational projects, including binational climate resilience initiatives in the U.S.-Mexico border region and flood risk assessments in Seoul, South Korea. His work integrates participatory governance approaches to enhance community preparedness.
Haitong Liمشاهده پروفایل
استادیار
Haitong Li is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University's College of Engineering, joining the faculty in 2022. His research bridges nanoelectronic devices, integrated circuits, and nanotechnology-inspired AI hardware to address critical challenges in energy-efficient artificial intelligence systems. Education: Ph.D. in Electrical Engineering, Stanford University Research Interests: Dr. Li pioneers emerging memory technologies—particularly Resistive RAM (RRAM)—for in-memory computing and neuromorphic systems. His work focuses on 3D monolithic integration of RRAM and gain cell memory with CMOS to enable edge AI, with recent breakthroughs in hardware acceleration for large language models and sustainable computing. Key innovations include carbon footprint prediction for LLMs and zeroth-order fine-tuning techniques. Publication Trends: Dr. Li's 2023-2025 publications reveal a strategic shift toward sustainable AI hardware, emphasizing carbon-aware LLM inference and edge deployment. His research consistently targets data movement reduction through memory-centric architectures, spanning photonic accelerators, neuro-symbolic computing, and heterogeneous 3D integration. Awards: No scientific awards were documented in the provided sources. Advising and Grants: Current advisees and grant funding details were not specified in the available materials. Labs and Teams: Research group composition and laboratory facilities were not described in the source text.
- Robotics
- Control Systems
- Aerospace Engineering
- +۵ مورد دیگر
Prof. Raffaello D'Andrea is a Full Professor at ETH Zürich's Department of Mechanical and Process Engineering, affiliated with the Institute for Dynamic Systems and Control. His research focuses on bridging digital and physical worlds through robotics, control systems, and autonomous systems. He has pioneered work in aerial robotics, swarm systems, tactile sensing, and soft robotics. His philosophy emphasizes solving 'easy' problems with scalable, robust solutions, prioritizing simplicity and replicability. Key research areas include UAV navigation, distributed control, tactile sensor design, and fault-tolerant systems. He has founded multiple organizations and led roles as CTO/CEO, emphasizing cross-disciplinary innovation. His work has commercial applications in logistics, healthcare, and automation, driven by a belief in technology's role in improving human life. Notable projects include the Cubli robotic cube, aerial vehicle swarms, and optical tactile sensors for robotics. His lab emphasizes collaboration and team leadership, aiming to translate theoretical insights into practical, scalable technologies. Scientific awards: None explicitly listed in the provided texts. Advising and grants: No students listed in the provided texts; grants information not detailed. Labs/Teams: Leads research at ETH Zurich's Institute for Dynamic Systems and Control, collaborating with industry and academic partners globally.
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