جست‌وجوی استاد و پژوهشگر

Jan Woudstraمشاهده پروفایل

استاد

• History and theory of the modern movement in landscape architecture
• Landscape conservation
• Planting design
• +۷ مورد دیگر

Dr Jan Woudstra is an Honorary Professor at the University of Sheffield's School of Architecture and Landscape. With a PhD in Landscape Architecture from University College London and a background in landscape design, horticulture, and conservation, he has taught landscape architecture and history since 1995 and part-time at the Architectural Association School of Architecture from 1988-2005. Education: PhD, MA (Conservation), Dip Hort (Kew) Research Focus: History and theory of modern movement landscape architecture, planting design, hard landscape detailing, and international design trends Supervision: Claudia Leticia Martínez Velarde, Lei Gao, Kairan Li, Sang Jung Yoon, Vivienne Rose Parrott, Jijun Zhao, Manoochehr Salahi Moghadam, Hossein Donyavi, Sally O’Halloran Contact: j.woudstra@sheffield.ac.uk | Arts Tower, Floor 12, Western Bank, Sheffield, S10 2TN His research emphasizes landscape conservation, sustainability, and social equitability, with case studies on designers like Christopher Tunnard, Peter Shepheard, and Robert Marnock. He explores the tension between memory and innovation in historic landscapes. Recent publications address Buddhist pilgrimage sites, Scandinavian design, and historical planting techniques. Collaborations with Peter Blundell Jones and others analyze the interplay between architecture and landscape.

Ryan P. Huangمشاهده پروفایل

دانشیار

• Computer Systems
• Operating Systems
• Distributed Systems
• +۷ مورد دیگر

Ryan P. Huang is an Associate Professor in the Computer Science & Engineering department at the University of Michigan, College of Engineering, where he leads the Order Lab. Previously, he was an Assistant Professor at Johns Hopkins CS department from 2017 to 2022. His research focuses on computer systems, particularly operating systems and distributed systems, with emphasis on reliability, efficiency, and defensibility across cloud data centers and mobile devices. Dr. Huang's research interests center on pushing the boundaries of cloud systems availability and observability. His work addresses critical challenges such as gray failures and partial failures in distributed systems, developing principled techniques for failure detection and localization. His research spans multiple thrusts including Panorama for enhanced observability, Watchdog for runtime checking, OmegaGen for partial failure localization, and Narya for predictive failure mitigation. He also investigates energy-efficient mobile systems and system misconfiguration prevention. His recent publications demonstrate a strong trend toward addressing silent failures in distributed systems, with multiple papers accepted to top-tier conferences including SOSP and OSDI in 2025. His work bridges theoretical principles with practical system implementations, focusing on real-world challenges in cloud infrastructure and distributed computing environments. NSF CAREER award recipient Multiple Best Paper Awards (OmegaGen, Argus, LeaseOS) CRA Outstanding Undergraduate Researcher Award honorable mentions for advisees Dennis Ritchie doctoral dissertation award honorable mention Dr. Huang actively mentors PhD students including Yuzhuo Jing, Wanning He, Yuxuan Jiang, and others. His lab has produced graduates who have gone on to faculty positions at institutions like University of Virginia and Boston University. He serves on program committees for major systems conferences including SOSP, OSDI, and NSDI, contributing significantly to the academic community. The Order Lab maintains active research collaborations and regularly publishes in top-tier venues, with multiple papers accepted to SOSP and OSDI in 2025.

Leid Zejnilovicمشاهده پروفایل

استادیار

• Technology and Innovation Management
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Leid Zejnilovic is an Assistant Professor at Nova School of Business and Economics (Nova SBE), where he co-founded the Data Science Knowledge Center and serves as Academic Director, and co-founded the Open and User Innovation Knowledge Center as Scientific Deputy Director. He also co-founded the Patient Innovation platform, enabling patients and caregivers to share self-made healthcare solutions. With a double PhD from Carnegie Mellon University and Católica-Lisbon School of Business and Economics, his career spans over 20 years of international consulting, academic entrepreneurship, and teaching at institutions like Imperial College Business School and Ludwig Boltzmann Institute. PhD in Strategy, Entrepreneurship and Technological Change (Carnegie Mellon University / Catholic University of Portugal, 2014) Master in Engineering and Public Policy (Carnegie Mellon University, 2012) Master in Information Technology (Dzemal Bijedic University, 2007) Bachelor in Telecommunications (University of Sarajevo, 2002) His research focuses on Technology and Innovation Management, Human-Computer Interaction, and data-driven solutions across healthcare, tourism, and education. He has published extensively in journals like California Management Review , PLoS ONE , and Marine Policy , with recent work analyzing big data in tourism, machine learning for oral health, and pandemic impacts on fisheries. As an Associate Editor for Data & Policy Journal , his contributions bridge academic research and real-world applications. Co-founding the Data Science for Social Good Foundation and leading over 100 talks in industry and academia, Zejnilovic's career emphasizes translating innovation into social and economic impact through platforms, policy, and education.

Victoria A. Beardمشاهده پروفایل

استاد

• International Development Planning
• Comparative Urbanization
• Community-Based Planning
• +۳ مورد دیگر

Victoria A. Beard is Professor of City and Regional Planning at Cornell University's College of Architecture, Art, and Planning, where she serves as Director of the Cornell Mui Ho Center for Cities. She is also a Core Faculty member of the Southeast Asia Program and was named a Global Public Voices Fellow (2021-22) for her work on urban poverty and water/sanitation inequality in developing countries. Education: Ph.D. in Community and Regional Planning, University of British Columbia (1999) M.A. in Urban Planning, University of California–Los Angeles (1995) B.A. in Urban Studies and Planning, University of California–San Diego (1992) Beard's research examines how communities in the Global South navigate formal planning systems to address urban poverty through collective action and transnational networks. Her work emphasizes water/sanitation infrastructure as critical sites of inequality, investigating how intermittency and affordability barriers perpetuate urban exclusion. She conducts comparative fieldwork in Southeast Asia (Indonesia, Thailand, Cambodia) and transnational contexts (Oaxaca/Southern California), analyzing how community-based planning can drive city-wide transformation despite institutional constraints. Her recent publications reveal a strategic shift toward infrastructure justice, with increasing focus on municipal service delivery systems and climate resilience. Beard consistently connects micro-level community practices to macro-level policy frameworks, highlighting pathways for inclusive urban development that center marginalized populations' lived experiences. Scientific Awards: Global Public Voices Fellow (2021-22) International Faculty Fellow, Global Cornell (2017) Fulbright Scholar to Indonesia (1993-94) Beard has secured major research funding including CORCL (University of California–Irvine) and Pacific Rim Research Program grants for transnational community planning projects. With 20+ years of practitioner experience, she has designed poverty-alleviation programs for the World Bank, Asian Development Bank, and RAND, specializing in community-based development, monitoring/evaluation systems, and national policy implementation. Her grant portfolio bridges academic research and on-the-ground impact through partnerships with NGOs like Mercy Corps. As Director of the Cornell Mui Ho Center for Cities, Beard leads initiatives focused on climate-resilient urban futures, including symposia on New York City resilience and Kenya's informal housing. She collaborates extensively with Cornell's Southeast Asia Program and Atkinson Center for Sustainable Future, building interdisciplinary teams that integrate planning, public health, and environmental science perspectives.

• Mathematical Optimization
• Algorithmic Intelligence
• Energy Systems Modeling
• +۵ مورد دیگر

Thorsten Koch serves as Head of the Department of Applied Algorithmic Intelligence Methods within the Division of Mathematical Algorithmic Intelligence at Zuse Institute Berlin (ZIB). His research spans mathematical optimization, energy systems modeling, quantum computing applications, and scientometrics. Koch leads significant research projects including FAN (focusing on AI in scholarly communication), UNSEEN (energy scenarios), HPO-NAVI (research software visibility), and Multi-Energy Models for European Energy System Planning. Koch's research interests center on developing advanced optimization algorithms for complex systems, particularly in energy networks and scientific data analysis. His work bridges theoretical mathematics with practical applications in gas network optimization, wind farm design, portfolio management, and quantum computing. He has pioneered methods for large-scale mixed-integer programming, scenario generation, and the integration of machine learning with traditional optimization techniques. His recent publications demonstrate growing emphasis on quantum optimization, scientometrics, and the application of AI to scientific communication infrastructure. His publication trends reveal a strategic expansion from traditional mathematical optimization into quantum computing applications and scientific data infrastructure. Recent work shows increasing collaboration across disciplines - connecting energy systems analysis with financial modeling, integrating machine learning with optimization solvers, and applying computational methods to scientometrics. The 15 most recent articles highlight three major thrusts: quantum optimization (33%), energy systems modeling (27%), and scientific data infrastructure (40%), reflecting his leadership in both theoretical algorithm development and practical implementation for societal challenges. Koch actively contributes to research infrastructure through leadership roles in projects like KOBV (Berlin-Brandenburg Cooperative Library Network), HDC (Humanities Data Centre), and CIB (future library networks). His work on the DeepGreen initiative focuses on establishing legally secure workflows for implementing open-access components in scientific publication licensing agreements, demonstrating his commitment to open science principles and research data management.

Heidi Brownمشاهده پروفایل

استاد

• Infectious Disease Epidemiology
• Spatial and Temporal Disease Distribution
• Vector-Borne Diseases
• +۴ مورد دیگر

Heidi Brown is a Professor and Program Director at the University of Arizona , affiliated with multiple programs including the Mel and Enid Zuckerman College of Public Health, Entomology and Insect Science, Remote Sensing and Spatial Analysis, and the School of Geography and Development. PhD in Epidemiology of Microbial Diseases (Yale University) MPH in International Health Promotion (George Washington University) Postdoctoral experience at Oxford University (Zoology) and CDC (Bacterial Diseases Branch) Her research focuses on infectious disease epidemiology , emphasizing the spatial and temporal dynamics of diseases, vector-borne/zoonotic transmission, and environmental determinants of health. She integrates epidemiological and spatial analysis to address climate change impacts on disease patterns. Recent publications highlight her work linking climate variability to infectious diseases like Campylobacter, stakeholder engagement in climate adaptation, and dual hazard response strategies during the 2020 heat-COVID overlap. Her 2019 Fulbright in Brazil and 2023 sabbatical at Heidelberg Institute of Global Health underscore her international expertise. Scientific Awards: Fulbright (2019) She leads projects such as Adaptation Mal-Adaptation Assessment , Climate and Health Adaptation Monitoring Program (CHAMP) , and initiatives on heat health resilience. Her work bridges academic research with practical implementation for state and local health departments.

Yu Lanمشاهده پروفایل

پژوهشگر ارشد

• Spatial Epidemiology
• Health Geography
• Infectious Diseases
• +۳ مورد دیگر

Yu Lan is a Research Fellow at the Yale School of Public Health , specializing in spatial epidemiology and health geography . Her work integrates genomic data (e.g., WGS) with geographic information systems (GIS) to analyze transmission patterns of infectious diseases like COVID-19 and tuberculosis . Education: PhD in Geography, University of North Carolina at Charlotte MA in Geography, University of North Carolina at Charlotte Research Interests focus on space-time disease modeling , infectious disease transmission , and data-driven public health tools . She develops web-based systems for real-time disease surveillance and environmental risk assessment, including tools for private well contamination and urban neighborhood dynamics . Scientific Awards include the SISMID Scholarship (2024) , Student Honors Paper Competition Finalist (2023) , and David Woodward Digital Map Award (2021) . Collaborations include work with the Ted Cohen Lab and researchers like Joshua Warren and Eric Delmelle . Her publications emphasize genomic-spatial integration and cluster detection algorithms for diseases such as tuberculosis and SARS-CoV-2.

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.

• Social Psychology
• Social Identity Theory
• Sport Psychology
• +۳ مورد دیگر

Gareth Hall is a Senior Lecturer in Psychology at Aberystwyth University's Department of Psychology, where he has been an established member since the department's founding in 2007. He holds a PhD from Glamorgan University and is a Chartered Member of the British Psychological Society (BPS) and a Fellow of the Higher Education Academy (FHEA). His academic career includes significant administrative roles such as Examinations Officer (2007-2014, 2016), Senior Tutor (2014), and Acting Director of Admissions and Recruitment (2009, 2011). Dr. Hall's research focuses on social psychology with particular expertise in social identity theory applied to real-world contexts. His work spans sport psychology, examining sport for development programs, intergroup behavior in fandom, and well-being in physical culture communities like CrossFit. He has pioneered research testing laboratory theories in real-world settings, challenging traditional experimental paradigms through creative methodologies that incorporate digital technologies and interdisciplinary approaches. His publication record shows consistent output since 2006, with significant contributions in 2019-2023 focusing on sport psychology applications in Brazil, forensic psychology, and educational technology. His work demonstrates a clear trajectory toward interdisciplinary collaboration, particularly in sport for development contexts and the application of social identity theory to complex social issues. Scientific Awards and Recognition: Teaching and Learning Improvement Award from Aberystwyth University (2011) Active editorial roles including for Frontiers in Sports and Active Living (2021) and Bulletin of Latin American Research (2019) Dr. Hall has secured research funding from prestigious organizations including the Economic and Social Research Council (2018) and British Council (2015). His external engagements include committee membership with the British Psychological Society's Undergraduate Education Committee (2015-present), AQU Catalunya (2022-2023), and visiting researcher positions at the University of Padua (2017-2018). His work contributes to multiple UN Sustainable Development Goals, particularly those related to social development and inclusion.

John Byrneمشاهده پروفایل

استاد

• Energy and Climate Policy
• Renewable Energy Systems
• Environmental Resilience
• +۴ مورد دیگر

John Byrne is a Distinguished Professor of Energy and Climate Policy and Director of the Center for Energy and Environmental Policy (CEEP) at the University of Delaware's Biden School of Public Policy. His academic career spans over three decades with significant contributions to global climate policy through roles in the IPCC, World Council for Renewable Energy, and Seoul International Energy Advisory Council. He pioneered the Sustainable Energy Utility (SEU) model and led the first SEU implementation in Delaware, recognized internationally for its innovative financing mechanisms. His research focuses on energy transitions, environmental justice, and renewable energy integration. Notable achievements include co-founding the International Solar Cities Initiative, advising China’s State Environmental Protection Agency, and conceiving the SEU's AA+-rated bond program. Byrne has held visiting positions at Lawrence Berkeley National Laboratory and Seoul National University, where he contributed to South Korea’s greenhouse gas abatement strategy. Byrne’s publications include 19 books and 170+ articles, with influential works like Rethinking Environmentalism (MIT Press) and Green Energy Economies . He serves as Co-Editor-in-Chief of WIREs Energy and Environment and editor of the Energy and Environmental Policy book series since 1983. His work is funded by major institutions including the World Bank, UNDP, and U.S. Department of Energy. Key recognitions include the 2007 Nobel Peace Prize (shared via IPCC contributions) and Fulbright Senior Lecturer Award. Byrne’s current efforts focus on advancing solar energy policies, sustainable urban development, and bridging environmental justice with climate resilience.

• Distributed Machine Learning
• Privacy Preserving Computing
• Federated Learning
• +۳ مورد دیگر

Maximilian Egger is a Doctoral Researcher at the Institute for Communications Engineering under Prof. Antonia Wachter-Zeh at the Technical University of Munich (TUM). His research focuses on distributed machine learning, privacy-preserving computing, and information theory. He holds an M.Sc. in Electrical Engineering and Information Technology (2022, TUM) and a B.Eng. in Electrical Engineering (2020). He has conducted research stays at École Polytechnique Fédérale de Lausanne (2024) and Imperial College London (2023). Egger has received several awards, including the DAAD Scholarship (2023) and the VDE Award Bavaria (2020). His work emphasizes secure federated learning, Byzantine-resilient systems, and efficient distributed algorithms. He is affiliated with the Chair of Coding and Cryptography and actively contributes to advancements in decentralized learning systems. Recent publications highlight breakthroughs in privacy preservation, channel capacity estimation, and scalable federated edge learning.

Murat Kantarciogluمشاهده پروفایل

استاد

• Data Security
• Artificial Intelligence Security
• Privacy-Preserving Technologies
• +۵ مورد دیگر

Murat Kantarcioglu is a Professor of Computer Science at Virginia Tech, affiliated with the College of Engineering. He is also a Faculty Fellow at the Commonwealth Cyber Initiative (CCI) and directs the Data Security and Privacy Lab. Previously, he held the Ashbel Smith Professorship at the University of Texas at Dallas. His research focuses on data and AI security, privacy, blockchain, and cybersecurity. He has received notable awards, including the NSF CAREER Award and IEEE Technical Achievement Award, and is a Fellow of AAAS and IEEE. Education: Ph.D. in Computer Science (Purdue University), B.S. in Computer Engineering (Middle East Technical University). Research Interests: Privacy-preserving machine learning and data analytics Adversarial machine learning and cybersecurity Blockchain technology and applications Healthcare data security and genomics privacy Risk and incentive models for assured data sharing Awards and Recognition: NSF CAREER Award AMIA Homer R. Warner Award IEEE ISI Technical Achievement Award Fellow of AAAS and IEEE Distinguished Member of ACM Advising and Labs: Directed over 20 PhD/Master’s students, many in cybersecurity and privacy domains. Founder and director of Virginia Tech’s Data Security and Privacy Lab. Associate at Harvard’s University Data Privacy Lab. Service and Leadership: Extensive program committee roles in top conferences (KDD, AAAI, IEEE ICDE). Former CCI co-chair for IEEE TrustCom. Co-authored influential textbooks on adversarial machine learning.

Line Roaldمشاهده پروفایل

استاد

• Power Systems Optimization
• Renewable Energy Integration
• Grid Resilience
• +۵ مورد دیگر

Professor Line Roald is a faculty member in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. Her research focuses on power system optimization, renewable energy integration, grid resilience, and wildfire risk mitigation using stochastic optimization and data-driven methods. Education : PhD (2016), MS (2012), BS (2009) from ETH Zurich Key Research Areas : Power Systems Optimization, Renewable Energy Integration, Wildfire Risk Mitigation, Stochastic Programming, Grid Decarbonization Her work addresses critical challenges in sustainable energy systems, including balancing grid efficiency and risk, optimizing electrolyzer scheduling for flexibility, and predicting cascading blackout severity using graph neural networks. She has developed frameworks for carbon intensity comparison and wildfire risk assessment in power systems. Scientific Awards : 2024 Inclusion, Equity and Diversity in Engineering Award 2024 Vilas Faculty Early Career Investigator Award 2023 IEEE Power Tech Best Student Paper Award 2021 NSF CAREER Award 2019 MTLE Fellow Professor Roald mentors graduate students and teaches courses including Introduction to Optimization and On-Line Control of Power Systems . Her publications highlight innovative approaches to grid security, carbon-efficient energy markets, and climate resilience in infrastructure systems.

Yujie Chenمشاهده پروفایل

دانشیار

• Digital Media
• Digital Labour Studies
• Platform Studies
• +۳ مورد دیگر

Dr. Yujie (Julie) Chen is an Associate Professor (on leave) at the University of Toronto's Faculty of Information, affiliated with the Department of Communication, Culture, Information & Technology (CCIT). Her work focuses on digital media's political economy, platform capitalism, and digital labour studies. She authored Super-Sticky WeChat and Chinese Society , analyzing WeChat's societal integration and platform power dynamics in China. Her research critiques how labour is marginalized in datafication discourse, particularly in platform-mediated sectors like ride-hailing (DiDi) and food delivery. Key themes include algorithmic control, worker resistance, and the interplay between technology, state policies, and labour conditions in China. Dr. Chen’s work bridges sociotechnical systems analysis with critical political economy frameworks. Her recent studies explore temporal exploitation in platform labour (e.g., food delivery workers’ time management), gamification of work processes, and the 'digital utility' concept deployed by platforms to justify market dominance. She frequently presents at conferences like AoIR and ICA, emphasizing global platform capitalism’s socio-economic impacts. Dr. Chen is completing a book manuscript examining labour’s erasure in datafication narratives and advocating for analytical frameworks that foreground embodied labour experiences. Her research also intersects with global South labour comparisons, notably between China and the Philippines in platform economies.

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.