جست‌وجوی استاد و پژوهشگر

Johanna T. Gunawanمشاهده پروفایل

استادیار

• Dark Patterns
• Human-Computer Interaction
• Privacy Law
• +۴ مورد دیگر

Johanna T. Gunawan is an Assistant Professor of Computer Science and Law at Maastricht University's Faculty of Law, affiliated with the Law and Tech Lab. Her research bridges human-computer interaction, design, and legal frameworks to address dark patterns, privacy erosion, and consumer protection gaps in digital systems. PhD in Cybersecurity (2024), Northeastern University MS in Cybersecurity (2021), ALIGN Scholar BA in Political Science & International Affairs (2019), Northeastern University Gunawan's research focuses on manipulative interface designs, digital asymmetries, and legal responses to privacy harms. Her work has influenced policy discussions at the OECD, UK Competition and Markets Authority, and US Federal Trade Commission. Industry experience includes cybersecurity roles at Akamai Technologies, Rapid7 LLC, Vimeo Inc., and Common Sense Media. Recent scientific contributions span dark pattern regulation under the EU Digital Services Act, privacy risks in gig economy platforms, and deceptive practices in voice/Social Robot interfaces. She co-leads the CHI 2025 special interest group on transdisciplinary dark pattern research.

Alexandre Bonvinمشاهده پروفایل

استاد

• Computational Structural Biology
• Biomolecular Interactions
• NMR Spectroscopy
• +۵ مورد دیگر

Prof. Alexandre Bonvin is a Professor of Computational Structural Biology and Scientific Director of the Bijvoet Center for Biomolecular Research at Utrecht University. He leads the Computational Structural Biology group, focusing on developing integrative computational methods to study biomolecular interactions. His work emphasizes predicting protein complex structures using experimental data and computational models, with applications in drug discovery and structural biology. Bonvin pioneered the HADDOCK software suite, a widely used platform for modeling biomolecular complexes. Education: Studied Chemistry at the University of Lausanne, obtained a PhD from Utrecht University (1993), followed by postdocs at Yale University and ETH Zurich. Joined Utrecht University in 1998, becoming a full professor in 2009. He has held leadership roles, including Director of Chemical Education and Vice Head of the Chemistry Department. Research Themes: Biomolecular interactions, computational modeling, NMR spectroscopy, and grid computing. He coordinates EU projects like WeNMR and BioExcel, advancing e-infrastructure for structural biology. His lab’s contributions include software tools like HADDOCK, DisVis, and PowerFit, serving thousands of researchers globally. Awards: 2006 VICI grant from NWO, HPC Innovation Award (2020). Over 275 peer-reviewed publications, including high-impact work on teixobactin mechanism and antibody modeling. Active in training through EMBO courses and mentoring postdocs/students.

• Industrial Organization
• Applied Econometrics
• Telecommunications Policy
• +۴ مورد دیگر

Jonathan W Williams is a Professor of Economics and Director of the Center for Regulatory and Industrial Studies (CRIS) at the University of North Carolina at Chapel Hill. He holds a B.A. in Economics and B.S. in Applied Mathematics from Ohio University, and a Ph.D. in Economics from the University of Virginia. His career includes six years at the University of Georgia before joining UNC in 2015. His research focuses on industrial organization, applied econometrics, and regulatory policy, with specializations in telecommunications, airline markets, and broadband networks. He has published extensively on topics such as price discrimination in airlines, consumer behavior analysis using digital data, and regulatory challenges in network industries. Williams’ work often intersects with policy-relevant issues, including the impact of gatekeeper behavior in telecom markets, the effects of video piracy on content industries, and the economic implications of broadband pricing strategies. He leads CRIS, which focuses on industrial organization research with a public policy lens. His collaborative projects include improving broadband network reliability through proactive maintenance strategies. His research portfolio includes over 30 peer-reviewed articles, spanning from 2008 to 2025, with recent emphasis on telecommunications regulation, airline industry dynamics, and digital market behaviors. He has received grants for collaborative research on infrastructure and network economics.

• Decision making
• Knowledge engineering
• Knowledge graphs
• +۳ مورد دیگر

Marie-Hélène Abel is a Professor and Director of the Computer Science Department at the University of Technology of Compiègne (UTC), France. She leads the Heudiasyc laboratory (UMR CNRS 7253) and specializes in decision making, knowledge engineering, knowledge graphs, and multi-agent systems. Her work focuses on collaborative systems, organizational learning, and the integration of social data into decision support frameworks. She has been recognized with prestigious awards, including Senior IEEE membership (2017) and the 2017 K2 Trophy for participatory computing innovations. Her research emphasizes the development of systems like the MEMORAe platform, which supports learning ecosystems through collaborative environments and organizational memory. She collaborates internationally with institutions such as the Pontifical Catholic University of Paraná (Brazil) and industry partners including Thales, Alstom Transport, and PSA. Key projects include crisis simulation systems and ontology-based frameworks for Industry 4.0 collaboration. Abel’s academic contributions span over 50 peer-reviewed articles, with recent works addressing context-aware recommender systems, crisis management simulations, and teacher efficacy in digital education. Her leadership roles include directing research projects, overseeing the Computer Engineering Department, and advancing ethical AI practices through initiatives like the Sorbonne.AI network. Education: HDR (Habilitation à Diriger des Recherches) on 'Contribution of Organizational Memories in a Learning Context' (2007) Administrative Roles: Equality Officer, University Antiracism/Anti-Semitism Officer International Collaborations: Brazil, Egypt, and Tunisia

Yue Douمشاهده پروفایل

استادیار

• Sustainability
• Land Use
• Agricultural Economics
• +۳ مورد دیگر

Yue Dou is an Assistant Professor in the Department of Natural Resources, focusing on sustainability, land-use dynamics, and food systems. His research addresses UN Sustainable Development Goals, particularly sustainability and food security. He employs advanced modeling techniques and remote sensing to analyze complex socio-ecological systems, emphasizing global-local interactions in agriculture and resource management. Key research interests include crop mapping accuracy in smallholder regions, food value-chain impacts on land use, and resilience in local food systems. His work integrates geospatial data, agent-based modeling, and systems analysis to explore biodiversity conservation, telecoupled systems, and policy implications for sustainable development. Collaborations span global institutions, with recent studies on Jordan’s water-energy-food nexus and Rwanda’s food security monitoring. His publications highlight innovative methods for estimating regional food flows and assessing cropland stability in China. Yue Dou’s contributions address pressing challenges in sustainable land use, agricultural economics, and environmental policy, leveraging interdisciplinary approaches to bridge ecological and socio-economic dimensions.

Asolina Braunمشاهده پروفایل

پژوهشگر ارشد

• Skin Immunology
• Autoimmunity
• Psoriasis
• +۷ مورد دیگر

Dr. Asolina Braun is a Senior Research Fellow at the Department of Biochemistry & Molecular Biology, Monash University. She actively supervises PhD students and contributes to research in Skin Immunology Psoriasis Pathogenesis Immunopeptidomics Tissue-Resident Memory T Cells . Education : Biology, Hannover Medical School Doctoral Degree in Immunology (Hannover Medical School, Germany, 2011–2014) Postdoctoral Fellowship with Francis Carbone and Thomas Gebhardt (Germany, 2014–2018) Research Focus : Her work explores HLA-Cw6-dependent antigen presentation and TRM cell survival factors in psoriasis, aiming to develop tolerization strategies for autoinflammatory skin diseases. She also pioneered tactile science communication methods for psoriasis outreach. Key Projects : Leading Psoriasis Antigen Triggers (2023–2025) Investigating Influenza Immune Cross-Protection (2024–2027) Validating HLA-Cw6 Antigen Presentation (2020–2022) Awards & Roles : DFG Fellowship Treasurer, Australian and New Zealand Society for Immunology (2018–2022) Executive Committee Member Collaborations span institutions in Australia, Germany, and Denmark, with expertise in flow cytometry , mass spectrometry , and MHC-peptide interactions .

Yaguang Zhangمشاهده پروفایل

استادیار بالینی

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +۴ مورد دیگر

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

• Natural Language Processing
• Text Generation
• Machine Learning
• +۱ مورد دیگر

Zihao Fu is a Researcher at the Oxford Internet Institute (OII), University of Oxford, where he served as a Postdoctoral Researcher from March 2024 to April 2025, focusing on the Trustworthiness Auditing for AI project. Previously, he was a Research Associate (PostDoc) at the University of Cambridge's Language Technology Lab under Prof. Nigel Collier. His research emphasizes Natural Language Processing, Text Generation, Machine Learning, and Biomedical Applications. Education includes a Ph.D. from The Chinese University of Hong Kong (supervised by Prof. Wai Lam) and a visiting student period at Tsinghua University's NLP Lab. He has substantial experience with large-scale distributed algorithms in Alibaba Cloud's PAI platform. Research interests span NLP, biomedical applications, and AI ethics, with notable contributions to datasets like BAND and frameworks like OxonFair. His work addresses challenges in text generation repetition, parameter-efficient fine-tuning, and algorithmic fairness.

Petra Sauerمشاهده پروفایل

استاد

• Database Systems
• Geodatabases
• Semantic Web Technologies
• +۵ مورد دیگر

Prof. Petra Sauer is a Professor of Computer Science and currently serves as Dean of the Department of Computer Science and Media at BHT Berlin. She leads research in database systems, geospatial technologies, and educational data analytics. Her work bridges academic research with practical applications in facility management, urban logistics, and e-learning platforms. Key projects include DiSEA (education analytics), ExCELL (mobility data integration), and BIM-FM (building lifecycle management). Research interests focus on: Database design & schema evolution Semantic web applications Geodatabase implementations Learning analytics in MOODLE environments Notable awards include the Tiburtius Prize (Gold 2008 for Marc-Florian Wendland's thesis, Bronze 2009 for Marco Blankenburg's thesis). Active supervision spans over 15 advisees across data science, database security, and semantic integration topics. Current courses include 'Database Systems' for Media Informatics students. Key projects: DiSEA: Moodle-based learning analytics framework ExCELL: Real-time traffic forecasting platform mVIZ: Open data visualization guidelines BIM-FM: Semantic integration of building models

Anika Großمشاهده پروفایل

استاد

• Database Systems
• Knowledge Graphs
• Ontologies
• +۷ مورد دیگر

Prof. Anika Groß is a Professor for Database Systems and Programming at the Department of Computer Science and Languages at Anhalt University of Applied Sciences in Köthen, Germany. She holds a PhD from the University of Leipzig (2014) and has held roles as a PostDoc in strategic research at Daimler AG and as a research assistant at the Interdisciplinary Centre for Bioinformatics (IZBI). She is actively involved in academic governance, serving on the faculty council, board of examiners, and various sustainability and research data management committees. Her research focuses on database systems, knowledge graphs, and ontology engineering, with applications in environmental science, medicine, and material sciences. Education - PhD (Dr. rer. nat.) in Computer Science, University of Leipzig (2014) - Diploma in Bioinformatics, MLU Halle-Wittenberg (2007) - Postdoctoral research at University of Leipzig's Database Group (2008–2013) Research Interests Her work emphasizes temporal graphs, ontology evolution, and semantic data integration. She develops tools like Region Evolution eXplorer (REX) and contributes to projects such as AgriRestore (ecosystem restoration) and MeineWaldKI (AI-based forest monitoring). Her recent focus includes wearable device applications in healthcare and digital twins for lithium value chains. Recent Research Trends Recent publications highlight interdisciplinary applications of knowledge graphs in agriculture and environmental science, leveraging temporal analysis and machine learning for tasks like chemical transformation prediction and bladder monitoring. She also explores cross-lingual semantic annotations in medical forms and holistic clustering of linked data. Professional Roles - Executive Committee Member, GI Database Systems Group - Fellow, Institute for Technologies and Economics of Lithium (ITEL) - Co-Chair of multiple workshops including FGDB-Workshop @ LWDA 2018 and BigDS@BTW 2017 Labs & Collaborations She leads research teams in projects funded by DFG, European Union (EFRE), and ITEL, collaborating with organizations like Daimler AG and ANU. Her lab focuses on advancing database systems and interdisciplinary data science applications.

Richard N. Landersمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Gamification
• +۵ مورد دیگر

Richard N. Landers is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota, where he leads the TNTLAB (Testing New Technologies in Learning, Assessment and Behavior). His research focuses on applying innovative technologies—including artificial intelligence, gamification, and virtual reality—to enhance psychometric assessment, employee selection, adult learning, and research methodology in organizational contexts. He serves as associate editor for the International Journal of Selection and Assessment and holds editorial roles in several other journals. Research Interests : Integration of AI in workplace assessment, gamification of training systems, virtual reality applications, and psychometric validation of technology-driven methods Key Contributions : Development of the Work-Related Social Media Questionnaire (WSMQ) and the Cambridge Handbook of Technology and Employee Behavior His work has been published in American Psychologist , Journal of Applied Psychology , and Psychological Methods , with interdisciplinary impact in Computers in Human Behavior . He maintains industry connections through Landers Workforce Science LLC and Aon's scientific advisory board, while also creating educational tools like the Web Scraping of Psychological Data tutorial and Online Automated Statistics Tutor . Scientific Recognition : Fellow of three major psychological societies Training : Mentors Ph.D. and undergraduate students in I-O psychology and technology applications

• Pervasive Computing
• Wireless Sensor Networks
• Healthcare Informatics
• +۳ مورد دیگر

John Herbert is a Senior Lecturer in Computer Science at University College Cork (UCC), Ireland. His research focuses on pervasive computing, wireless sensor networks, and healthcare informatics, with notable projects like the CARA framework for falls assessment in the elderly. He holds a PhD in Computer Science from Cambridge University and has held visiting roles at institutions including SRI International and the University of Cambridge. Education: BSc (Experimental Physics), MSc (Experimental Physics), Postgraduate Diploma (Computer Science) from UCC; PhD (Computer Science) from Cambridge University. Research Grants: Led projects funded by Science Foundation Ireland (€163,726) and the Irish Research Council (€71,250), focusing on cloud computing and healthcare applications. His work emphasizes context-aware systems, data quality in medical environments, and real-time analysis. Selected awards include an International Fellowship from Digital Systems Research Center (1989) and visiting fellowships at Cambridge (2008-2009). Teaching: Courses include Advanced Software Engineering, Formal Methods, and Model-Based Software Development. Outreach: Advisor to award-winning student teams (e.g., IEEE mobile app contest) and collaborator with industry partners in China and Europe.

Stephen Paul Ellnerمشاهده پروفایل

استاد

• Community Ecology
• Population Biology
• Evolutionary Patterns and Processes
• +۵ مورد دیگر

Stephen Paul Ellner is the Horace White Professor of Ecology and Evolutionary Biology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on theoretical ecology, particularly structured population models, community ecology, and evolutionary dynamics. He holds a B.A. from the University of California, Berkeley (1975), a Ph.D. from Cornell University (1982), and completed a postdoctoral fellowship at the Weizmann Institute (1984-1985). Education: B.A. in 1975, Ph.D. in 1982 (Cornell), Postdoc at Weizmann Institute (1984-1985). Research Interests: Community ecology, population dynamics, evolutionary patterns, sustainability, and infectious disease modeling. His work emphasizes trait-based models and applications to ecological problems like species coexistence, disease transmission, and invasive species management. He is a Fellow of the Ecological Society of America (2016) and contributes to open-source software like Integral Projection Models (R packages) and LENNS for ecological analysis. His teaching includes courses on dynamic models in biology and ecological modeling. Grants & Projects: Explores eco-evolutionary dynamics, pathogen transmission in plant-pollinator networks, and the impacts of environmental variability on population outcomes. Labs/Teams: Leads the Ellner Lab, focusing on theoretical and computational ecology.

Kim Bernardمشاهده پروفایل

استاد

• Polar Zooplankton Ecology
• Marine Ecosystems
• Climate Change Impacts
• +۳ مورد دیگر

Kim Bernard is a Professor at Oregon State University (OSU), affiliated with the College of Earth, Ocean, and Atmospheric Sciences (CEOAS). She leads the Bernard Zooplankton Ecology Lab, focusing on how climate change and anthropogenic factors influence polar zooplankton ecology, particularly Antarctic krill. Her work integrates physical oceanography and ecological dynamics to understand ecosystem responses to environmental changes. Education: BSc(Hons), MSc, and PhD from Rhodes University, South Africa (2001–2007). Her research spans krill physiology, predator-prey interactions, and the role of physical oceanographic features in structuring marine ecosystems. She has pioneered projects like Project SWARM and collaborates on initiatives such as Polar STEAM to enhance public engagement in polar science. Key research areas include krill reproductive biology, humpback whale-krill relationships, and the impacts of climate change on Antarctic ecosystems. Her work emphasizes the importance of subsurface eddies and Lagrangian coherent structures in sustaining biological hotspots. She actively promotes interdisciplinary approaches, bridging science with education and art. Grants and projects include collaborative efforts on Antarctic krill recruitment, ecosystem-based management, and the ecological role of invasive species like Pyrosoma atlanticum. Her lab’s outreach efforts aim to broaden participation in polar research through STEAM collaborations with educators and artists.

Nora Mittelstädtمشاهده پروفایل

پژوهشگر

• Renewable Energy
• Bioeconomy Monitoring
• Environmental Compatibility
• +۳ مورد دیگر

Nora Mittelstädt is a Researcher and Project Lead at the Helmholtz Center for Environmental Research - UFZ in Leipzig, Germany. She has held roles in project coordination and research since 2020, focusing on nature-compatible renewable energy expansion and bioeconomy monitoring . Department : Systems Analysis and Sustainability Assessment Education : M.Sc. in European and International Economics and Politics Research Interests : Her work centers on renewable energy systems , environmental impact assessments , and data-driven sustainability solutions . She specializes in spatial analysis of energy infrastructure and policy integration for climate-neutral transitions. Publications : Her recent articles analyze ground-mounted PV near transport routes , EE-Monitor's role in environmental assessments , and bioeconomy stakeholder perceptions . These contributions align with energy data transparency and land-use optimization . Scientific Recognition : UFZ Research Award 2024 (team award for developing the EE-Monitor and BENOPT system) Contact : nora.mittelstaedt@ufz.de | +49 341 60252832