جست‌وجوی استاد و پژوهشگر

Dominik Wermkeمشاهده پروفایل

استادیار

• Computer Security
• Human-Centered Security
• Software Supply Chain Security
• +۳ مورد دیگر

Dominik Wermke serves as an Assistant Professor in the Department of Computer Science at North Carolina State University. He is affiliated with multiple research entities including the Secure Computing Institute (SCI), the Wolfpack Security and Privacy Research (WSPR) Lab, and the Secure Software Supply Chain Center (S3C2). His educational background includes: Ph.D. in Computer Science from Leibniz University Hannover (2023) M.Sc. from Saarland University (2016) B.Sc. from Saarland University (2015) Wermke's research focuses on computer security with emphasis on human-centered security, examining how security mechanisms align with software professionals' and end users' needs, practices, and limitations. His work employs mixed-methods approaches including interviews, user studies, surveys, and large-scale ecosystem analyses to identify behavioral patterns and systemic risks in secure software development. His expertise spans cybersecurity, human-computer interaction, and user experience with particular focus on software supply chain security and open source ecosystems. His publication record shows a clear trend toward addressing software supply chain security challenges through empirical studies of developer practices, trust mechanisms in open source communities, and reproducible builds. Recent work increasingly examines the human factors in security implementations, with publications appearing in top venues including IEEE S&P, USENIX Security, ACM CCS, and NDSS. His notable recognition includes: Distinguished Paper Award at the 43rd IEEE Symposium on Security and Privacy (2022) Wermke actively mentors students interested in security research, with his lab focusing on empirical security studies that bridge technical and human aspects of software security. His research has been supported through institutional affiliations with NC State's security research centers which provide infrastructure for large-scale security ecosystem analyses. He maintains active collaborations with researchers at CISPA Helmholtz Center for Information Security and other institutions, evidenced by multi-institutional publications. His current research agenda continues to explore security challenges in modern software development practices with particular attention to supply chain vulnerabilities and trust mechanisms in distributed development environments.

Roel C.G.M. Loonenمشاهده پروفایل

دانشیار

• Building Performance Simulation
• Energy Engineering
• Adaptive Facades
• +۷ مورد دیگر

Roel C.G.M. Loonen is an Associate Professor at the Unit Building Physics and Services within the Department of the Built Environment at Eindhoven University of Technology (TU/e), Netherlands. He holds joint appointments with EAISI High Tech Systems and EIRES Research groups, focusing on building performance simulation and energy systems. His work bridges academic research with practical applications through collaborations with SMEs in the building industry. Loonen received his BSc and MSc (cum laude) in Building Services from Eindhoven University of Technology, followed by a PhD in 2018 with a dissertation on 'Approaches for computational performance optimization of innovative adaptive facade concepts.' His educational background has positioned him as a leading expert in building performance simulation and sustainable building technologies. His research interests center on developing and applying modeling and simulation strategies to support decision-making for designing buildings that combine high indoor quality with minimal environmental impact. Key areas include adaptive facades, building-integrated renewable energy systems, and energy-efficient building envelopes. He specializes in creating and validating new building performance simulation models to advance innovative building technologies. His recent publications demonstrate a strong focus on practical applications of building performance simulation, with emphasis on residential energy efficiency, photovoltaic systems, and occupant-centered approaches to building design. The work shows increasing integration of machine learning techniques with traditional building simulation methods, particularly for sensitivity analysis and optimization of building performance. REHVA Young Scientist Award (2021) Best PhD supervisor award from Department of the Built Environment, TU/e (2018) First prize - REHVA International student competition (2011) Smart daylight control for optimal building performance (NWO Take-off award, 2018) Best paper award (2021) Loonen actively supervises PhD and Master's students, evidenced by his Best PhD Supervisor Award in 2018. He manages multiple research projects including Sustainable Summer Comfort (2024-2027), Modeling Innovative Use Scenarios for Future Domestic Comfort (2023-2026), and Just Prepare (2022-2026), with funding from sources including the Dutch Research Council (NWO). His professional service includes being a board member of the Dutch-Flemish IBPSA affiliate and co-chair of IBPSA World's website committee, plus reviewing for 35 academic journals. He leads research within the Building Performance group, focusing on creating practical tools and methodologies that bridge the gap between theoretical building performance models and real-world implementation in the construction industry. His work particularly emphasizes the integration of occupant behavior and practices into building performance models, recognizing that human factors are critical to achieving sustainable building performance in practice.

Chang Hyun Parkمشاهده پروفایل

استادیار

• Virtual Memory Systems
• Address Translation
• Cache Hierarchy
• +۷ مورد دیگر

Chang Hyun Park is an Assistant Professor at the Department of Information Technology, Uppsala University, where he is part of the Uppsala Architecture Research Team. His research focuses on computer architecture with emphasis on memory systems, virtualization, and system software optimization. Dr. Park completed his doctoral studies at KAIST (Korea Advanced Institute of Science and Technology) in South Korea, where he was advised by Professor Jaehyuk Huh. Prior to his current position, he served as a post-doctoral researcher at Uppsala University working with Professor David Black-Schaffer. Dr. Park's research spans several critical areas in computer architecture and systems: Virtual memory systems and address translation mechanisms Cache hierarchy optimization and memory systems design Support for non-volatile memory and heterogeneous memory systems Virtualization technology and optimizations for cloud environments High-speed I/O device integration and accelerator support His publication record demonstrates a consistent focus on improving memory system performance, particularly in virtualized environments. Over the past decade, his work has evolved from fundamental virtual memory optimizations to addressing challenges in emerging memory technologies and large-scale system architectures. Recent publications show increasing emphasis on heterogeneous memory systems, graph processing workloads, and hardware-software co-design approaches. Dr. Park actively collaborates with researchers at Uppsala University, particularly with Professor David Black-Schaffer, and maintains connections with his alma mater KAIST. His work appears regularly in top-tier computer architecture conferences including ISCA, MICRO, ASPLOS, and MEMSYS.

• Sports Economics
• Betting Markets
• Match Fixing
• +۷ مورد دیگر

Professor Christian Deutscher is a prominent sports economist at Bielefeld University's Faculty of Psychology and Sport Science, specializing in the Department of Sport Science within Division V - Sport and Business. As both Research Officer and Internationalization Officer, he leads significant work in sports economics, particularly focusing on betting markets, match-fixing detection, and sports integrity. His research has attracted funding from major institutions including the German Research Foundation. Deutscher's research interests span sports economics, betting market efficiency, match-fixing detection, sports management, and the business aspects of professional sports. His work combines advanced statistical modeling with practical applications in sports integrity monitoring. He has extensively analyzed live betting markets, Bundesliga economics, and the impact of technological innovations like VAR in football. His research often examines the intersection of sports performance, economic incentives, and market behavior. Analysis of his recent publications reveals a strong focus on empirical studies of sports betting markets, particularly live and in-play betting dynamics. His work demonstrates sophisticated use of state-space models and other advanced statistical techniques to detect market inefficiencies and potential integrity issues. Deutscher frequently collaborates with statisticians and economists to develop warning systems for match-fixing, with particular attention to German football leagues. His research bridges theoretical economics with practical applications in sports governance. Professor Deutscher actively contributes to the European Sport Economics Association (ESEA), having edited special issues of conference proceedings and serving in editorial capacities. His work has been published in leading journals including Journal of Sports Economics, Economic Inquiry, and Applied Stochastic Models in Business and Industry. As Research Officer for the Faculty of Psychology and Sport Science, Deutscher oversees research initiatives and international collaborations. His current projects include data-based fraud detection in live betting markets, funded by the German Research Foundation across multiple phases. He also serves on various university committees including the Quality Improvement Commission and Examination Board for the Department of Sport Science. Deutscher maintains strong connections with sports organizations and betting industry stakeholders, ensuring his research has practical relevance for sports integrity monitoring. His work on betting market inefficiencies has direct applications for regulatory bodies seeking to protect the integrity of sporting competitions.

Chelsey R. Carterمشاهده پروفایل

استادیار

• Black feminist anthropology
• Health equity
• Neurodegenerative diseases
• +۸ مورد دیگر

Chelsey R. Carter is an Assistant Professor of Public Health in the Department of Social and Behavioral Sciences at Yale School of Public Health with a secondary appointment in the Department of Anthropology. A Black feminist anthropologist of medicine, public health, and race from St. Louis, Missouri, Dr. Carter's interdisciplinary work bridges public health, anthropology, and critical race studies to address health inequities, particularly focusing on neurodegenerative diseases like ALS in Black communities. Dr. Carter received her BA in Anthropology from Emory University (2012), followed by an MPH and PhD from Washington University in St. Louis (2021), and completed a Presidential Postdoctoral Fellowship at Princeton University (2022). Her educational background reflects her commitment to both anthropological theory and public health practice. Her research examines the relationship between social determinants of health (particularly anti-Black racism, socioeconomic status, and gender) and neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and motor neuron diseases. Dr. Carter employs ethnographic research and qualitative methodologies to investigate how embodied inequality impacts diagnosis, treatment, and engagement in clinical trials for Black individuals with ALS. She also leads research on precision medicine and genomic research in Black communities through The Black Genome Project and studies caregiving among persons impacted by ALS. Her scholarship has been funded by the National Science Foundation, the Andrew Mellon Foundation, and the Wenner Gren Foundation. Analysis of Dr. Carter's recent publication trends reveals a strong focus on health equity, particularly examining how systemic racism manifests in medical settings and contributes to health disparities. Her work spans multiple domains including neurodegenerative diseases, HIV/AIDS care, genomics, and mental health, with consistent attention to intersectional approaches that consider race, gender, and socioeconomic status. A notable pattern in her scholarship is the use of qualitative and mixed methods to center the lived experiences of marginalized communities, challenging dominant biomedical paradigms through a Black feminist lens. Principal's Development Fund Visiting Scholar (2024) Distinguished Teaching Award from Yale School of Public Health (2023) Funding from the National Science Foundation Support from the Andrew Mellon Foundation Wenner Gren Foundation grant Dr. Carter actively mentors students and has developed innovative teaching approaches, including her course 'Biomedical Justice: Public Health Critiques and Praxis,' which encourages students to bring their full selves into the classroom. Her research has been supported by significant grants that enable community-engaged work addressing health disparities. She emphasizes the importance of community partnerships in her research, ensuring that academic work serves and is accountable to the communities being studied. Dr. Carter is Founder and Director of The LEITH (Lived Experiences Igniting Transformations in Health) Lab, which addresses Black invisibility and misdiagnosis for rare neurodegenerative and genetic diseases. The lab brings together persons and caregivers impacted by rare diseases, researchers, clinical providers, educators, students, and activists to develop more humanizing and critical approaches in the rare neurodegenerative field. The LEITH Lab's vision centers on advancing anti-racist research, fostering awareness through education, creating palliative networks for support, and developing a pipeline of health equity scholars.

Jamie Morgensternمشاهده پروفایل

دانشیار

• Machine Learning
• Ethics & Fairness
• Human-Centered AI
• +۳ مورد دیگر

Jamie Morgenstern is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering , University of Washington . She was previously an assistant professor at Georgia Tech and a Warren Center Fellow at University of Pennsylvania . Expertise: Ethics & Fairness, Human-Centered AI, Machine Learning Education: PhD in Computer Science from Carnegie Mellon University (2015) Her research examines the social impact of machine learning and ensuring ML models do not exacerbate societal inequalities. She investigates robustness to human-generated training data, fairness in clustering and active learning, and algorithmic equity in recommendation systems. Recent publications focus on interactive ML systems , fairness constraints , and privacy-preserving methods across conferences like NeurIPS, ICML, and AIES. Key subfields include multimodal learning , membership inference attacks , and data equity . Scientific Awards: NSF Career award for "Strategic and Equity Considerations in ML" Simons collaboration project Simons Award for Graduate Students in Theoretical Computer Science (2014-2016) NSF GFRP fellowship Microsoft Research Graduate Women's Scholarship Spotlight presentation at NeurIPS 2015 Mentoring: She advises current PhD students Rachel Hong , Jie (Claire) Zhang , and Yuanyuan (Chloe) Yang . Former advisees include Daniel Jiang (MS), Bhuvesh Kumar (PhD), and Angel (Alex) Cabrera (BS). Grants: Funded by NSF Career award and Simons collaboration projects. Previously supported by Simons, NSF, and Microsoft Research fellowships. Labs & Collaborations: Collaborates with researchers like Michael Kearns , Aaron Roth , and Avrim Blum . Affiliated with the Allen School's Artificial Intelligence research group.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance of Commons
• Complex Systems
• +۵ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

Gillian Sandstromمشاهده پروفایل

دانشیار

• Psychology of Kindness
• Social Interactions
• Weak Ties
• +۴ مورد دیگر

Dr. Gillian Sandstrom is an Associate Professor in the Psychology of Kindness at the University of Sussex's School of Psychology. She holds a BMath from the University of Waterloo, MA in Psychology from Ryerson University, and PhD from the University of British Columbia. Her research focuses on minimal social interactions, kindness, and gender roles in prosocial behavior. She previously worked as a Postdoctoral Research Associate at the University of Cambridge and as a Senior Lecturer at the University of Essex before joining Sussex in 2022. Her research examines how brief social interactions with strangers or weak ties can enhance well-being and reduce social barriers. Notable contributions include studies on the impact of 'talking to strangers,' parasocial relationships, and gender stereotypes in prosocial behavior. She has secured grants such as the ESRC-funded project on improving difficult social interactions. Dr. Sandstrom is affiliated with the Sussex Centre for Research on Kindness and teaches courses like 'Social Connection and Disconnection.' Awards include an Honorable Mention for Best Paper Award (Self & Identity, 2021). She actively promotes public engagement through media and social platforms like Bluesky, emphasizing everyday kindness and social connection.

Corey B. Jacksonمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Data Science
• +۷ مورد دیگر

Dr. Corey B. Jackson is an Assistant Professor in The Information School at the University of Wisconsin–Madison, affiliated with the Robert & Jean Holtz Center for Science and Technology Studies, Institute for Diversity Science, and Data Science Institute. His research bridges human-centered computing, CSCW, and design epistemologies, focusing on socio-technical systems for equitable participation in AI and citizen science. He teaches courses in Interaction Design, User Experience, and Digital Information. Education: Ph.D. Library & Information Science, Syracuse University, 2019 M.S. Library & Information Science, University of Illinois, Urbana-Champaign, 2012 B.A. Political Science, University of Illinois, Urbana-Champaign, 2010 Research Interests: Jackson’s work emphasizes designing systems for transparency, accountability, and democratic participation in technologies. He explores AI fairness, citizen science, and civic technology. His methodologies include mixed methods and socio-technical analysis. Key Awards: ACM CSCW 2020 Honorable Mention (Best Paper) NSF HCC Grant (2021–2024) Rockefeller Foundation Grant (2021) Chan Zuckerberg Initiative Grant (2022–2023) Advising & Grants: Jackson mentors Ph.D. students in HCI and citizen science. His grants total over $612k, supporting projects like AI audit tools and environmental justice initiatives. He co-directs the Collaborative Computing Group. Labs & Teams: Collaborative Computing Group at UW-Madison; affiliated with interdisciplinary institutes advancing data science and diversity in science.

Iwona M Jasiukمشاهده پروفایل

استاد

• Composite Materials
• Materials Science
• Biomedical Engineering
• +۴ مورد دیگر

Professor Iwona M. Jasiuk is a multi-disciplinary academic affiliated with the University of Illinois, holding professorships in Mechanical Science and Engineering, Biomedical and Translational Sciences, Bioengineering, Aerospace Engineering, and other departments. She is also affiliated with the National Center for Supercomputing Applications (NCSA), Beckman Institute for Advanced Science and Technology, and the Carl R. Woese Institute for Genomic Biology. Her research focuses on composite materials, bio-inspired structures, additive manufacturing, and computational mechanics, with a strong emphasis on integrating artificial intelligence into materials science. Her work spans topics such as material characterization, metamaterials design, and radiation effects on materials. Notable research areas include thin-ply composites, lattice structures derived from geometric principles, and the mechanical properties of bio-inspired systems like equine hoof walls. She has pioneered the use of deep learning networks for predicting material behavior in complex systems. Professor Jasiuk has received prestigious awards, including the ASME Fellow, SES Fellow, and Vebleo Scientist Award. Her research is supported by collaborations across engineering, biology, and computational fields, leveraging advanced facilities like NCSA for high-performance computing.

Jonas Eliassonمشاهده پروفایل

استاد مهمان

• Transport Policy
• Cost-Benefit Analysis
• Transport Pricing
• +۵ مورد دیگر

Jonas Eliasson is a Visiting Professor at Linköping University's Department of Science and Technology (ITN), focusing on Communications and Transport Systems. He concurrently serves as Director of Transport Access at the Swedish National Transport Administration and chairs the Planning & Construction committee of the Royal Academy of Engineering Sciences. Previously, he was Director of the Stockholm City Transportation Administration (2016–2019) and a professor at the Royal Institute of Technology (KTH) from 2007 to 2016. His research emphasizes transport policy design and evaluation, including cost-benefit analysis, transport pricing, railway capacity allocation, and public acceptability of policies. He advises governments on sustainable transport planning, congestion pricing, and socio-economic appraisals. His work bridges theoretical frameworks and practical implementation, with a focus on accessibility, equity, and climate targets. Key research themes include infrastructure cost overruns, traffic demand reduction strategies, and the integration of passenger and freight transport systems. Recent publications analyze policy impacts, forecasting methods, and carbon-neutral transportation systems. His interdisciplinary approach addresses both technical and socio-political dimensions of transport challenges. Eliasson collaborates with research groups like Railway and Public Transport and contributes to initiatives like the 'Next Generation Smart Transportation Systems' project. Despite extensive professional roles, no formal student advisees are listed. His work is disseminated through journals like Transportation Research Part A and policy reports for national and regional governments.

Robert W. Levensonمشاهده پروفایل

استاد

• Emotion Research
• Aging and Neurodegenerative Disorders
• Psychophysiology
• +۳ مورد دیگر

Robert W. Levenson is a Professor of Psychology at the University of California, Berkeley, and Professor of the Graduate School. He directs the Berkeley Psychophysiology Laboratory and the Institute of Personality and Social Research. His work focuses on emotion, psychophysiology, and affective neuroscience, particularly in aging and neurodegenerative disorders. He has held roles such as Director of the Clinical Training Program and the Bay Area Predoctoral Training Consortium in Affective Science. Levenson earned a Ph.D. in Clinical Psychology from Vanderbilt University. His research examines emotional processes in marital interaction, cultural influences on emotion, and neural correlates of emotion in disorders like Alzheimer's and frontotemporal dementia. Key projects include longitudinal studies on marital dynamics and age-related emotional changes, supported by NIH grants. His research interests span psychophysiological measures of emotion, empathy, and emotional control, with notable contributions to understanding autonomic specificity in emotions. He trains students in psychophysiological methods, neuroanatomy, and emotion assessment.

Paul Cheungمشاهده پروفایل

استاد

• Demography
• Public Policy
• Official Statistics
• +۳ مورد دیگر

Professor Paul Cheung is a Professor (Practice) at the Lee Kuan Yew School of Public Policy and serves as Interim Director of the Asia Competitiveness Institute (ACI) at the National University of Singapore (NUS). Previously, he was Director of the United Nations Statistics Division (2004-2012), where he spearheaded global statistical system development and initiated the UN-GGIM platform. He also served as Singapore’s Chief Statistician (1991-2004), leading national statistical reforms. His expertise spans demography, geospatial information, and policy analysis. He holds a PhD from the University of Michigan (1983) and an Honorary Doctorate from Mongolia’s National University (2008). Notable awards include Singapore’s Public Administration Medal (Gold), Cambodia’s Royal Order of Sahametrei, and the Von Neumann-Spallart Medal. Research focuses on official statistics, data policy, and aging populations. Courses taught include 'Big Data and Official Statistics in Public Policy.' He advises governments worldwide on statistical systems, including Oman’s Vision 2040 and China’s National Bureau of Statistics. His work bridges statistical innovation with global governance through initiatives like UN-GGIM.

Barbara Polivkaمشاهده پروفایل

استاد

• Environmental Health
• Health Services Research
• Public Health Nursing
• +۳ مورد دیگر

Dr. Barbara Polivka is the Associate Dean for Research and Professor at the University of Kansas School of Nursing. She holds a BSN and MSN from the University of Cincinnati College of Nursing and Health, and a PhD in Nursing from The Ohio State University. Her research focuses on environmental health (e.g., lead poisoning prevention, asthma triggers) and health services research (e.g., public health nursing standards, nursing workforce challenges). She has secured NIH, NIOSH, and AHRQ funding for projects addressing home safety hazards and asthma management in older adults. Professional Affiliations include the American Academy of Nursing (Fellow), American Public Health Association, and Midwest Nursing Research Society. Key grants include current NIEHS funding for real-time asthma exposure monitoring and prior NIOSH support for virtual home safety training. Awards include the Ruth B. Freeman Award (APHA) and Ohio Healthy Homes Achievement Award. Teaching spans undergraduate through doctoral levels, with emphasis on community/public health nursing. Mentored numerous PhD/DNP students in environmental health and health disparities. Current work explores口罩使用对哮喘患者的影响, pandemic-related disinfectant exposure risks, and medication literacy in aging populations.

• Multi-Agent Systems
• Distributed Optimization
• Network Control
• +۱ مورد دیگر

Guodong Shi is Associate Professor at the University of Sydney's Australian Centre for Robotics, heading the Centre for Robotics and Intelligent Systems. His research develops theoretical frameworks for multi-agent coordination, distributed optimization, and networked control systems. Current projects investigate collective decision-making under information constraints, privacy-preserving optimization, and game-theoretic formulations for social and robotic networks. His group develops algorithms for distributed solution of linear equations, Boolean networks, and equilibrium seeking. Doctoral supervision includes projects on acrobatic legged robots, reinforcement learning for robotic stability, and safe control under dynamic environments. Laboratory capabilities support theoretical and experimental validation. Research has applications in autonomous swarm robotics, smart grid optimization, and social network analysis. Teaching includes graduate courses on networked systems and optimization.