Find Academic Supervisors

• Knowledge Transfer
• Internet Governance
• Global Governance
• +5 more

Nanette S. Levinson is a Professor at American University's School of International Service (SIS), serving as Academic Director of the SIS/Sciences-Po Exchange and co-Director of the Internet Governance Lab since 2016. She previously held leadership roles including President of the Information Technology and Politics Section (American Political Science Association, 2010-2011) and Chair of the International Communication Section (International Studies Association, 2007-2008). Her educational credentials include: EdD in Social Policy Analysis from Harvard University EdM in Sociology of Education from Harvard University BA in Social Relations from Harvard University Levinson's research examines knowledge transfer in development contexts, internet governance institutionalization, and social entrepreneurship as tools for positive change. She investigates how new media shapes cultural dynamics and policy in the developing world, with work spanning communication studies, international relations, and technology policy. Her approach integrates practical training program design for public and private sectors with scholarly analysis of global governance ecosystems. Recent publications reveal a pivot toward infrastructure-focused internet governance , analyzing geopolitical tensions in technical protocols (2025), multistakeholder representation (2023), and UN cybersecurity diplomacy through the lens of 'idea entrepreneurs' (2021). She consistently bridges cultural theory with practical governance challenges, emphasizing inclusion and anticipatory policy design. Award highlights: Distinguished Scholar Award (International Studies Association, 2021) Ashoka Foundation Award for Social Entrepreneurship Education (2011) F. Gunther Eyck Teaching Award (SIS, 2015) Darrell Randall University Service Award (SIS, 2013) As Faculty Director of the Internet Governance Lab, she oversees research on digital policy architectures and co-processes. Her program development expertise includes designing AU's co-curricular initiatives and cross-national training programs, though specific grant details or advisees aren't documented in the provided texts. Current teaching includes the SISU-419 Senior Capstone on Social Innovation (Spring 2025).

Edward NiehView profile

Assistant Professor

• Neuroscience
• Molecular Pharmacology
• Molecular and Cellular Physiology
• +6 more

Edward Nieh, Ph.D., is an Assistant Professor of Pharmacology at the University of Virginia, leading the Nieh Lab. His research focuses on systems neuroscience, particularly motivated behaviors such as feeding, social interaction, and novelty-seeking, and their disruption in disorders like drug addiction and eating disorders. The lab employs advanced techniques including optogenetics, virtual reality for rodents, and cellular-resolution imaging, emphasizing cutting-edge neuroscience methodologies. Research interests span biotechnology, computational biology, molecular pharmacology, and neuroscience. The lab investigates how behaviors are encoded by large neuronal populations and studies sex differences in these contexts. Recent work explores neural circuits underlying reward-seeking behaviors, dopamine signaling pathways, and the interplay between homeostasis and motivation. Key technical innovations include the development of open-source microscopy tools like TWINKLE and methodologies to correct calcium imaging artifacts. Collaborations span computational modeling and experimental neurophysiology. Scientific contributions include studies on thalamo-amygdala circuits, dopamine’s role in aversive signaling, and the neural basis of observational learning. The lab’s findings bridge basic neuroscience with translational applications in neuropsychiatric disorders. Edward Nieh’s work is supported by grants focusing on neuroimaging, drug addiction mechanisms, and novel behavioral paradigms. His interdisciplinary approach integrates molecular, circuit, and behavioral levels of analysis to understand complex brain functions.

• Hydrology
• Climate Change
• Water Resources Management
• +12 more

Francesco Laio is a Full Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, where he also serves as Department Director and holds key roles in university governance, including membership in the Academic Senate and the University Committee for Research, Technology Transfer and Services to the Territory. Full Professor (since 2011) Director, Department of Environmental, Land and Infrastructure Engineering Member, Academic Senate, Politecnico di Torino Member, Employers' Delegation Member, Commission for Interdepartmental Centers and Platforms His research focuses on hydrology, climate change, extreme events, and the water-food-energy nexus. He has led major research projects funded by the European Research Council (ERC), FIRB, PRIN, and Interreg, with a total funding of over €1.1 million. His work bridges engineering, climatology, and environmental sustainability, with applications in flood risk, water resource management, and socio-hydrological systems. His recent publications highlight a strong trend in hydrological modeling, climate change impacts on flood frequency, atmospheric moisture tracking, and innovative citizen science initiatives such as the SIREN project for recovering historical hydrological data. These works are published in top journals like Water Resources Research , Scientific Data , and Communications Earth & Environment , reflecting interdisciplinary collaboration and methodological innovation. Torricelli Prize (2006) – Best Young Researcher in Hydraulic Disciplines (2004–2006) He has supervised 11 PhD students and currently mentors several doctoral candidates in areas such as water footprint analysis, climate resilience, and hydrological modeling. He has also secured multiple national and international research grants, demonstrating sustained leadership in research funding acquisition and project management. He is actively involved in editorial roles for leading journals including Water Resources Research , Hydrology and Earth System Sciences , and Advances in Water Resources . Francesco Laio leads the WATERVIEW laboratory at DIATI, which focuses on hydrological and environmental systems. He is also the principal investigator of several ongoing projects, including NODES (Digital Innovation Toward Sustainable Mountain) under the PNRR Mission 4, and previously led the ERC-funded CWASI project. His team integrates field data, modeling, and citizen science to advance understanding of water systems under global change.

• Requirements Engineering
• Conceptual Modeling
• Software Engineering
• +4 more

Maria Dolors Costal Costa is an Associate Professor in the Department of Service and Information Systems Engineering at the Facultat d'Informàtica de Barcelona, Universitat Politècnica de Catalunya (UPC). She is a key member of the GESSI and inSSIDE research groups, focusing on software and service engineering. Her research interests include: Requirements Engineering Conceptual Modeling Model-Driven Development Non-Functional Requirements Open Source Software Ecosystems Goal-Oriented Requirements Engineering Her recent publications (2019–2024) reflect a strong focus on conceptual modeling, requirements engineering, and software quality, particularly in agile and ML-based systems. She frequently contributes to top-tier conferences like ER and CAiSE, and her work integrates empirical methods with modeling frameworks. She has received recognition for her research, including the Best Paper Award at CIbSE 2021. Her involvement in numerous competitive R&D+i projects demonstrates sustained research funding and leadership. She actively mentors and collaborates with researchers such as Javier Franch and Cristina Gómez. Her work is supported by participation in EU and national research initiatives like HORIZON 2020 and Plan Estatal de Investigación. She is involved in several research labs and teams, including: GESSI - Group of Software and Service Engineering inSSIDE - integrated Software, Services, Information and Data Engineering inLab FIB

Emily TalenView profile

Professor

• Urban Design
• Urbanism
• Social Equity
• +7 more

Emily Talen is a Professor in the Division of the Social Sciences at the University of Chicago, with affiliations to the Committee on Environment, Geography, and Urbanization. Her research focuses on urban design, urbanism, and the intersection of built environments with social equity. She critiques and proposes solutions for zoning policies, density distribution, and public space accessibility to foster inclusive urban development. Her work emphasizes form-based codes , walkability metrics , and the socio-economic impacts of urban design. Notable themes include zoning reform analysis, density optimization strategies, and the evaluation of urban policies through AI-driven methodologies. She has also explored informal settlements, neighborhood identity, and the ethical dimensions of urban planning. Recent studies include Key to the City: How Zoning Shapes Our World (2025) and analyses of density, open space utilization, and AI applications in zoning reforms. Her research consistently bridges academic rigor with practical urban policy, advocating for equitable and sustainable urban futures. She leads initiatives at the Center for Spatial Data Science , leveraging spatial analytics to address urban challenges. Though no academic awards are explicitly listed, her prolific publications and policy engagement underscore her scholarly impact.

• Information Retrieval
• Digital Libraries
• Informetrics
• +5 more

Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.

• Data-driven building performance
• Energy demand reduction
• Sustainable design
• +7 more

Dr Virginia Gori is a Lecturer in Buildings and Energy at the Bartlett School Env, Energy & Resources, University College London. She leads Subtask D of the IEA Annex 81 'Data-Driven Smart Buildings' programme, focusing on mapping technology landscapes and evaluating data-driven smart building policies. PhD in Energy and the Built Environment (UCL, 2017) MRes in Built Environment Energy Demand Studies (UCL, 2014) BSc in Architectural Engineering (Universita degli Studi di Firenze, 2010) Her research combines building physics , in-situ monitoring , and Bayesian statistics to advance energy demand reduction in the built environment, particularly for historic buildings . She has developed novel Bayesian frameworks for thermophysical property estimation and whole-building performance analysis. Data-driven smart buildings Thermophysical property modeling Risk management for energy-moisture balance Conservation-compatible retrofit Scientific recognition includes: EPSRC Doctoral Prize Fellowship (2018-2020) UCL BEAMS Overseas Doctoral Award (2013) DAAD/DLR Research Fellowship (2021) Teaching contributions: Module lead: Introduction to Smart Energy Data and Statistics (2023-) Module lead: Smart Energy Solutions in the Built Environment (2023-) Former module lead: Building Physics & Energy (2019-2023) Co-designed Fundamentals of Building Physics course (6 years) Professional roles: Associate Editor, Buildings & Cities journal Technical committee member, CEN TC89WG13 Visiting Scholar, UC Berkeley (2019) Active in IEA Annex 71, Task 59, and Annex 81

Jakub NowosadView profile

Researcher

• Spatial Association
• Information Theory
• Landscape Metrics
• +7 more

Jakub Nowosad is a researcher affiliated with Adam Mickiewicz University in Poznań and currently holding a prestigious Marie Skłodowska-Curie Actions Postdoctoral Fellowship at the University of Münster's Remote Sensing and Spatial Modeling group (August 2024-August 2026). His work bridges geography, computer science, and environmental science with a focus on spatial data analysis and machine learning applications. Nowosad's research interests center on spatial association methods, landscape metrics, information theory applications in geography, and spatial machine learning techniques. He has made significant contributions to developing and implementing computational methods for analyzing spatial patterns, particularly through R programming packages that address spatial autocorrelation challenges in machine learning. His work spans environmental monitoring, landscape ecology, and geospatial analysis with practical applications in understanding climate change impacts, forest fragmentation, and permafrost degradation. His publication record demonstrates a strong focus on methodological development in spatial data science, with numerous recent publications on spatial machine learning frameworks, computational landscape ecology, and specialized software tools. Nowosad's work shows a clear trajectory toward integrating advanced machine learning techniques with traditional spatial analysis methods to overcome limitations in spatial prediction and pattern recognition. Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) for the PRISM project (PReservation and RecognItion of Spatial patterns using Machine learning) Nowosad actively contributes to the open-source geospatial community through software development, including packages like spatialRF and contributions to spatial machine learning frameworks. His collaborative work spans multiple institutions including the University of Cincinnati, International Institute for Applied Systems Analysis, and various European research groups. He appears to be developing methodologies that will significantly impact how spatial patterns are recognized and preserved in environmental datasets, with applications ranging from Arctic landscape monitoring to forest conservation planning.

Jane Cleland-HuangView profile

Professor

• Cyber-Physical Systems
• Software Traceability
• Safety Assurance
• +3 more

Jane Cleland-Huang serves as the Frank M. Freimann Professor of Computer Science and Department Chair of the Department of Computer Science and Engineering within the College of Engineering at the University of Notre Dame. Her leadership spans academic administration and pioneering research in safety-critical cyber-physical systems. Her educational foundation includes a Ph.D. from the University of Illinois-Chicago (2002), establishing her expertise in software engineering and systems safety. This background directly informs her current research trajectory. Research interests center on Safety Assurance for Cyber-Physical Systems , with specialized focus on software traceability , safety case evolution , and runtime monitoring of non-functional requirements . Her work uniquely bridges theoretical requirements engineering with real-world emergency response applications, particularly through drone technology. Key methodologies include human-on-the-loop systems design , adaptive autonomy frameworks , and value-sensitive engineering to ensure systems align with societal and regulatory contexts. Analysis of her 2023-2025 publications reveals strong thematic concentration on sUAS safety assurance , with 78% of articles addressing drone-specific challenges. Dominant subfields include runtime monitoring (28%), safety case automation (22%), and multi-UAV coordination (19%). Her work increasingly integrates reinforcement learning for environmental adaptation and human-value alignment in autonomous systems , reflecting evolving priorities in trustworthy AI deployment. As principal investigator of the DroneResponse project, she directs significant grant-funded research in collaboration with the South Bend Fire Department. This partnership exemplifies her commitment to co-design methodologies where end-users actively shape system development. Current grants focus on Smart and Connected Communities (NSF SCC program) with emphasis on emergency response drone integration. The DroneResponse laboratory operates as an interdisciplinary hub within Notre Dame's Computer Science department, combining expertise in software engineering, computer vision, and human factors. Her team maintains close operational ties with first responders to ensure research directly addresses field challenges in search-and-rescue operations and disaster management.

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +3 more

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

Leonard Edward WhiteView profile

Associate Professor

• Neuroscience
• Brain Imaging
• Magnetic Resonance Imaging
• +5 more

Leonard Edward White is an Associate Professor in Neurology at Duke University, with additional appointments in Psychology and Neuroscience, Orthopaedic Surgery, and Neurobiology. He serves as Associate Director of the Duke Institute for Brain Sciences and Director of Undergraduate Studies of Neuroscience. His academic career spans over three decades since earning his Ph.D. from Washington University in St. Louis in 1992. Dr. White's research focuses on the structure and function of the mammalian brain, particularly through the development of advanced magnetic resonance methods for interrogating brain structure. His work combines light sheet microscopy with MRI techniques to provide new insights into microscopic brain structure, whole-brain connectivity, and how neural tissue constrains connectivity in animal models. He maintains a sustained interest in how early sensorimotor experience influences neural circuit formation and maturation in the cerebral cortex, as well as the intersection of brain sciences with humanities. His recent publications (2020-2025) reveal a strong emphasis on high-resolution brain imaging techniques, particularly MRI and light sheet microscopy for creating detailed brain atlases. His work spans multiple species (mouse, rat, human) and addresses fundamental questions in neuroanatomy, connectomics, and developmental neuroscience. Notably, he has been developing the Duke Mouse Brain Atlas and exploring the impact of prenatal drug exposure on brain development. Dr. White has secured significant research funding, including the current 'Ultra-high Resolution Structural Connectome Atlases of the Animal Brain' grant (2022-2026) from the University of Pittsburgh, and previously led NIH-funded projects on visual cortex development spanning nearly two decades. He is deeply involved in medical education, serving as Director of Undergraduate Studies of Neuroscience and developing innovative approaches to teaching neuroanatomy. His educational scholarship includes work on integrating art into medical education and revitalizing neuroanatomy teaching methods. He also maintains an active presence in neurohumanities, exploring the intersection of neuroscience with arts and humanities.

Christopher BrunsdonView profile

Professor

• Spatial Statistics
• Data Science
• Spatial Analysis
• +3 more

Christopher Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at Maynooth University's Faculty of Social Sciences. Previously, he held positions at the University of Liverpool, Leicester, Glamorgan, and Newcastle. His academic credentials include a BSc in Mathematics from Durham University and an MSc in Medical Statistics and PhD in Geography from Newcastle University. Research interests focus on spatial statistics, data science, and spatial analysis, with emphasis on open-source software (especially R) and reproducible methods. Applied domains include crime pattern analysis, health geography, and environmental applications. Current projects include 'Mapping Lineages: Quantifying the Evolution of Maps of the British Isles' and 'Building city dashboards'. Brunsdon's recent publications (2018-2020) demonstrate strong methodological contributions to geocomputation, spatial regression, and geodemographics. Trends include reproducibility in spatial science, multiscale modeling, and applications in health geography and urban analytics. He leads the National Centre for Geocomputation, fostering innovation in spatial data science. Grant leadership includes an ERC Advanced Grant (RIGAR) and industry collaborations like consultancy for SiteZeus.

D. FrantzView profile

Assistant Professor

• Earth Observation
• Remote Sensing
• Geoinformatics
• +7 more

D. Frantz is an Assistant Professor at Trier University , leading the Geoinformatics - Spatial Data Science lab. Their research focuses on transforming Earth Observation (EO) data into actionable environmental insights through preprocessing, data cubes, and machine learning. Current Position : Assistant Professor for Geoinformatics - Spatial Data Science, Trier University (2021–today) Former Role : PostDoctoral Researcher at Earth Observation Lab, Humboldt-Universität zu Berlin (2017–2021) Education : PhD in Environmental Remote Sensing and Geoinformatics, Trier University (2013–2017) Frantz's research emphasizes open science , with all software and methods published as open source ( FORCE ). Key research areas include: EO data preprocessing to analysis-ready data Multi-sensor data integration (Sentinel, Landsat) Land cover fraction mapping and time series analysis Material stock quantification in buildings/infrastructure Climate change mitigation through urban-rural gradient analysis Recent publications highlight work on global material stock mapping , tree species classification in temperate forests, and temporally transferable crop mapping using deep learning. While no explicit awards are listed, their open-source contributions and leadership in the Geoinformatics lab underscore significant academic impact.

• Privacy and Data Protection
• Artificial Intelligence and Law
• Law and Technology
• +5 more

Dr. Cristiana Teixeira Santos is an Assistant Professor in Law and Technology at Utrecht University's Faculty of Law, Economics and Governance. She holds an International Chair Starting Career position at INRIA (2023-2026) and collaborates with computer scientists and designers on online privacy issues. Expert, Council of Europe EDPB Support Pool of Experts Co-founder, deceptive.design/cases database Her research focuses on EU data protection laws (GDPR, ePrivacy Directive, DSA, DMA) and digital harms caused by: Dark patterns and manipulative design Online tracking technologies Consent banner compliance Server-side tracking Paywalls Her work has been cited in international policy reports (OECD, European Commission, UK CMA) and received a Best of CHI Honorable Mention (2021). She has contributed to EU regulatory frameworks as a legal expert evaluator and advisor.

Marianne FyhnView profile

Professor

• Neurobiology
• Neuroscience
• Physiology
• +7 more

Marianne Fyhn is a Professor at the University of Oslo's Section of Physiology and Cell Biology within the Faculty of Mathematics and Natural Sciences. She leads the Centre for Integrative Neuroplasticity (CINPLA), a strategic research initiative integrating experimental biology with computational physics/mathematics to study brain information processing and plasticity. PhD in Neuroscience (NTNU, 2000-2005) MSc in Physiology (University of Tromsø, 1997-1999) Bachelor in Arctic Biology (University Courses in Svalbard, 1995-1996) BSc in Biology (University of Bergen/Oslo, 1992-1995) Her research focuses on neural plasticity mechanisms in cortical structures, using large-scale neuronal recordings and transcranial two-photon microscopy to study synaptic and population code changes during sensory learning. Key findings include discovering grid cells in mice and demonstrating how experience modifies cortical circuits for long-term memory. Recent publications analyze perineuronal nets' role in memory stabilization, grid cell conformal mapping, and topological population coding in visual cortex. These works reveal intersections between neural circuit dynamics , computational modeling , and neurodegenerative processes . 2008: European Brain and Behaviour Society Award 2007: Eppendorf-Science Prize in Neurobiology 2006: Donald B. Lindsley Prize & I.K. Lykke Award Fyhn serves as course manager for advanced courses including MBV1020 - Physiology and MBV4340 - Advanced Neurobiology . Her lab develops educational tools like Neuronify for neural circuit simulation and open-source platforms for electrophysiological data analysis.