Find Academic Supervisors

• Urban Geography
• Population Geography
• Social Geography
• +3 more

Tiit Tammaru is a Professor of Urban and Population Geography at the University of Tartu, Faculty of Science and Technology, Institute of Ecology and Earth Sciences. He has held various academic positions at the University of Tartu since 1997, including Professor since 2013, and currently serves as Academy Research Professor (2022-2024). He is also a member of the Estonian Academy of Sciences since 2019. Education: PhD in Human Geography, University of Tartu (2001) Master's Degree, University of Tartu (1996) Bachelor's Degree, University of Tartu (1994) Tiit Tammaru's research focuses on urban geography, population geography, and social segregation. His work examines spatial patterns of ethnic and socio-economic diversity in urban environments, residential mobility, migration, and segregation processes. He has conducted extensive research on urban development in Estonia, particularly during the Soviet period and post-Soviet transition. His recent work explores the relationship between neighborhood characteristics, school environments, and social outcomes, as well as the impact of new technologies on understanding urban mobility patterns. His publication record shows a consistent focus on socio-spatial inequality, ethnic segregation, and urban dynamics across European contexts. Scientific Awards: Member of Estonian Academy of Sciences (2019) National Science Award (2011) Estonian Science Award in social sciences (2010) Tammaru has led numerous research projects and supervised academic work in urban and population geography. He has directed several research centers including the Centre for Migration and Urban Studies (2015-2016) and the Centre for Estonian Diaspora Studies (2004-2014). His administrative roles include serving as head of the Chair of Human Geography at the University of Tartu since 2018 and as a member of the Estonian Academy of Sciences. Professor Tammaru leads research teams focusing on urban segregation, migration patterns, and socio-spatial inequalities. His work often involves comparative studies across European cities and has significant policy implications for urban planning and integration policies. His research methodology increasingly incorporates digital technologies and big data analysis to understand complex urban dynamics.

Jina KangView profile

Assistant Professor

• Educational Technology
• Immersive Learning Environments
• Collaborative Learning
• +3 more

Jina Kang is an Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois Urbana-Champaign , with an affiliate appointment at the Siebel Center for Design . Her research focuses on immersive technology-supported learning environments , collaborative problem-solving dynamics , and educational data mining for understanding multimodal engagement in science education. Recent publications examine embodied cognition in STEM through gesture-based learning simulations, joint attention dynamics in astronomy VR environments, and systematic reviews of immersive technology applications in collaborative education. Her work integrates XR platforms , Bayesian knowledge tracing , and multimodal behavioral analysis to enhance science learning outcomes. She teaches graduate courses including CI 539: Introduction to Educational Data Mining and CI 489: Educational Technology Capstone Course , where students develop technology-supported learning activities using studio-based approaches.

Juan Camilo CastilloView profile

Assistant Professor

• Industrial Organization
• Microeconomic Theory
• Market Design
• +6 more

Juan Camilo Castillo is an Assistant Professor in the Department of Economics at the University of Pennsylvania, focusing on Industrial Organization, Microeconomic Theory, and Market Design. His work bridges theoretical insights with real-world applications in digital platforms, urban transportation, and public health economics. Ph.D., Economics, Stanford University (2020) M.S., Economics, Universidad de Los Andes (2013) B.S., Physics and Industrial Engineering, Universidad de Los Andes (2012) Castillo's research spans two primary domains: Online platforms and digital economy (e.g., market power in web search, service quality in ride-hailing) Market design for social challenges (e.g., vaccine distribution, drug market violence) Recent publications examine platform competition in web search, surge pricing impacts, and pandemic response strategies. His methodological approach combines field experiments, econometric modeling, and network analysis.

Zhi LiView profile

Assistant Professor

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +9 more

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

Noah P. MolotchView profile

Professor

• Mountain Hydrology
• Snow Hydrology
• Ecohydrology
• +4 more

Noah P. Molotch is a Professor in the Department of Geography at the University of Colorado Boulder, leading the Mountain Hydrology Group and affiliated with the Cryosphere and Surface Processes Lab and Niwot Ridge Long-Term Ecological Research program. His work integrates ground observations, remote sensing, and computational modeling to advance understanding of mountain hydrology, water resources, and ecohydrology in changing climates. His educational background includes: PhD in Hydrology and Water Resources from the University of Arizona (2004) MS in Environmental Science and Management from the University of California, Santa Barbara (2000) BA from the University of Colorado Boulder (1997) Molotch's research focuses on snow hydrology , ecohydrology , and remote sensing with emphasis on snowmelt distribution, soil moisture dynamics, and streamflow generation. He investigates how climate change alters snowpack characteristics and hydrological partitioning, affecting forest productivity and carbon cycling in montane ecosystems. His work spans from the Colorado Front Range to Chilean Andes, addressing critical water security challenges through field studies and satellite data integration. Recent publications (2024-2025) reveal three dominant research thrusts: (1) Advanced snow water equivalent estimation using machine learning and airborne remote sensing, (2) Climate impacts on snowmelt timing and hydrological partitioning across mountain systems, and (3) Ecohydrological feedbacks between snow dynamics and vegetation productivity. These studies increasingly incorporate drone-based multispectral imaging and cross-scale data fusion to resolve spatial heterogeneity in alpine environments. Molotch mentors PhD students Millie Spencer and Emma Tyrrell, with Spencer documenting glacier retreat in Chile through CUAHSI-funded research. His group has secured significant grants from the U.S. Bureau of Reclamation for developing operational snowpack datasets, while collaborating with NASA, NOAA, and water management agencies on real-time monitoring systems. Community engagement includes art-science collaborations like the Colorado Arts Science Environment Program to communicate climate impacts. The Mountain Hydrology Group operates cutting-edge facilities including the Cryosphere and Surface Processes Lab and contributes to the Niwot Ridge Long-Term Ecological Research site. They deploy airborne lidar, drone-based thermal imaging, and wireless sensor networks to map snow properties at unprecedented resolutions, directly informing water resource management during drought and flood events across the Western U.S.

Mitchel LangfordView profile

Professor

• Spatial Analysis
• Geoinformatics
• Applied Computational Geography
• +5 more

Mitchel Langford is a Professor and Co-Director of the Wales Institute of Socio-Economic Research and Data (WISERD). He holds an academic position within the Faculty of Computing, Engineering and Science, focusing on spatial analysis, geoinformatics, and computational geography. His research spans over 35 years, emphasizing geographical accessibility, dasymetric mapping, and software engineering solutions for spatial problems. Langford earned his first degree in Physical Geography and Geology, followed by a PhD in software development for palynology using FORTRAN. He has extensive teaching experience in software engineering (C#, SQL, Python) and geoinformatics (PostgreSQL/PostGIS, web mapping). His key research contributions include pioneering work in dasymetric areal interpolation and multi-modal accessibility modeling, notably the Enhanced Two-Step Floating Catchment Area (E2SFCA) method. He has published over 119 peer-reviewed articles and consulted for international organizations like CIAT. Notable awards include the 2019 Impact Awards for contributions to spatial accessibility research. Current projects include investigating accessibility to public services (transport, healthcare, childcare) using GIS and multi-modal transport networks. Langford is also involved in policy-oriented research, contributing to Welsh Senedd inquiries on banking and healthcare access. His software engineering skills enable bespoke solutions for spatial analysis, emphasizing modern languages like Python and JavaScript.

Melanie WilkeView profile

Professor

• Cognitive Neurology
• Neural Mechanisms of Perception
• Visual Consciousness
• +12 more

Professor Melanie Wilke is a leading figure in cognitive neurology at the University Medical Center Göttingen, where she serves as Director of the Department of Cognitive Neurology and Head of the MR Research Unit. She is also a Co-Investigator in the 'Decision and Awareness' group at the German Primate Center. Her work bridges human and non-human primate neuroscience to investigate the neural basis of perception, awareness, and movement planning. Her research focuses on understanding how distributed neural activity supports spatial awareness and decision-making. Key areas include thalamocortical interactions, neural mechanisms of spatial neglect, and translational models of cognitive disorders. She employs multimodal methods such as fMRI, electrophysiology, brain stimulation (tACS, tDCS, TMS), and inactivation techniques in both human and monkey models. Analysis of her recent publications reveals a strong emphasis on visual consciousness, neural connectivity, and sensorimotor integration. Her work frequently explores the role of the pulvinar and parietal cortex in attention and awareness, using innovative paradigms including no-report tasks and microstimulation. There is a clear translational trajectory from basic mechanisms to clinical applications in stroke and Parkinson’s disease. Fellows Award for Excellence in Biomedical Research, National Institutes of Health, USA (2008) Prof. Wilke leads a dynamic research group and mentors students within several graduate programs, including Systems Neuroscience and the International Max Planck Research School (IMPRS). Her team conducts cutting-edge research using advanced imaging and stimulation techniques. She has secured long-term support through the Herman and Lilly Schilling Foundation Professorship (2011–2022) and continues to lead major projects in cognitive neurology and brain network dynamics. Her laboratory, embedded in the Heart & Brain Center Göttingen, fosters interdisciplinary collaboration and focuses on developing novel therapeutic interventions for cognitive deficits following brain injury. The MR Research Unit under her leadership is central to advancing non-invasive brain imaging and stimulation in both research and clinical contexts.

• Ladybird Ecology
• Invasive Species
• Citizen Science
• +7 more

Peter Brown is an Associate Professor in the School of Life Sciences at Anglia Ruskin University (ARU), Faculty of Science and Engineering. His research focuses on ladybird ecology, invasive species, and citizen science, with strong collaborations across the UK (especially the UK Centre for Ecology & Hydrology and University of Hull), Europe, and Chile. Education: PhD: The spread of the harlequin ladybird Harmonia axyridis (Coleoptera: Coccinellidae) in Europe and its effects on native ladybirds – Anglia Ruskin University (2010) BSc (Hons) Ecology and Conservation – Anglia Ruskin University (2004) Peter's research interests include ladybird ecology, the impacts of non-native species on native biodiversity, intraguild predation among arthropods using molecular tools, and the use of citizen science in ecological research, particularly through the UK Ladybird Survey and COST Action CA17122. He investigates the global spread and ecological effects of the harlequin ladybird (Harmonia axyridis) and evaluates the benefits and risks of exotic biological control agents. As director of the Citizen Science Research Group and member of the Applied Ecology Research Group, he emphasizes public engagement in science. His recent publications reveal a consistent focus on citizen science, invasive species monitoring, and conservation biology. Themes include volunteer motivations, digital tools for data collection, policy implications of alien species, and recovery strategies for native ladybirds. This body of work demonstrates a strong integration of field ecology, molecular techniques, and public participation. Scientific Awards and Memberships: Fellow, Royal Entomological Society Honorary Fellow, British Naturalists' Association Co-leader, UK Ladybird Survey Editorial board, Nature in Cambridgeshire Member, British Ecological Society Peter supervises postgraduate research in ladybird and insect ecology and welcomes PhD applications. He has secured collaborative research opportunities and leads projects involving citizen science data. He has also contributed to policy and management frameworks for invasive species in Europe. Peter leads the undergraduate module 'Invertebrate Biology' and postgraduate modules in conservation and biodiversity, including field-based learning. He directs the Citizen Science Research Group and is actively involved in public outreach, having appeared on BBC programs such as The One Show, Countryfile Diaries, and The Today Programme, enhancing public understanding of ecology and invasive species.

• Artificial Intelligence
• Robotics
• Data Science
• +4 more

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

Qiang ZhuView profile

Professor

• Data Science
• Data Management
• Machine Learning
• +3 more

Qiang Zhu is a Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn, holding the William E. Stirton Professorship (2017–2024). He founded the Data Science/Management Research Laboratory and is affiliated with the Michigan Institute for Data Science (MIDAS). His research spans data science, data management, and machine learning. Ph.D., University of Waterloo M.S., McMaster University M.Eng., Southeast University B.S., Southeast University Research focuses on advanced data indexing, query optimization, and AI-driven data management, with applications in genomics, network systems, and education. His work integrates machine learning with database systems for scalable solutions. Recent publications include topics in federated learning fairness, digital twin middleware, project-based CS education, and genome data indexing. Scientific contributions recognized through awards like the Wilkes Award (2008), ACM Distinguished Scientist (2013), and Springer Nature Editor of Distinction (2025). 2013–2018: Department Chair NSF, IBM, and Ford grants Over 250 conference committee roles He directs the Data Science/Management Research Lab, focusing on collaborative projects in genome analytics and smart computing infrastructures.

Michael A. LiebermanView profile

Professor

• Plasma Physics
• Plasma Chemistry
• Materials Processing
• +3 more

Michael A. Lieberman is a Professor in the Graduate School at the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. He joined UC Berkeley in 1966 and has received numerous accolades, including the Distinguished Teaching Award (1971) and Guggenheim Fellowship (1972-1973). His research focuses on low-temperature plasma physics and chemistry, particularly plasma-assisted materials processing, capacitive/inductive discharges, and nonlinear plasma dynamics. Education: Ph.D., Electrical Engineering, Massachusetts Institute of Technology (1966) B.S./M.S., Electrical Engineering, Massachusetts Institute of Technology (1962) Research Interests: Prof. Lieberman's work bridges fundamental plasma theory and industrial applications. Key areas include: Modeling of electromagnetic effects in capacitive discharges Hybrid analytical/numerical simulations of plasma processes Nonlinear wave phenomena in RF plasmas Plasma-material interactions for semiconductor fabrication Development of global models for atmospheric-pressure discharges Current projects (2018-2019) involve 2D fluid-analytical simulations, high-pressure discharge modeling, and particle-in-cell methods. Publications Focus: Recent articles emphasize computational plasma physics, including PIC simulations of transport phenomena, sheath dynamics in electronegative plasmas, and resonance effects in RF heating. His work consistently advances predictive modeling for industrial plasma applications. Awards & Honors: AVS Plasma Science Prize (2022) NPSS Marie Curie Award (2020) Will Allis Prize (2006) Von Engel Prize (2005) IEEE Plasma Science Award (1995) Fellowships: APS, AAAS, IEEE, AVS, IPCS, IOP Collaborations & Support: Collaborates extensively with Prof. A.J. Lichtenberg (nonlinear dynamics/plasma textbooks). Research funded by DOE Office of Fusion Energy Sciences and Applied Materials/Display (AKT). Maintains active international partnerships in plasma diagnostics and simulation.

• Human-Computer Interaction (HCI)
• Virtual Reality (VR)
• Augmented Reality (AR)
• +7 more

Dr. George Fitzmaurice is a Research Fellow at Autodesk, leading the Human Computer Interaction and Visualization Research group. With over 120 publications and 95 patents, his work spans 25 years of innovation in interactive systems, focusing on technology-assisted learning , 3D visualization , and novel input techniques . His notable contributions include the Maya 1.0 UI and SketchBook Pro design, as well as pioneering Graspable UIs and Spatially-Aware Displays . Education : MIT (B.Sc. Math/CS), Brown (M.Sc. CS), Toronto (Ph.D. CS) His research explores immersive visualization and generative AI applications in design workflows, with recent work focusing on VR/AR tools like TimeTunnel for motion editing and WhatIF for AI-assisted narrative design. Current projects examine the intersection of large language models , 3D design systems , and collaborative environments . Key article themes include: Generative AI integration (3DALL-E, WorldSmith) Immersive motion analysis (AvatAR, VideoPoseVR) Creative workflow optimization (MoodCubes, Immersive Sampling) Privacy-aware VR systems (Vice VRsa) Scientific Recognition: 2019 - Inducted into ACM CHI Academy 2024 - Awarded ACM Fellow for computing contributions He has developed foundational interaction techniques like ViewCube™ and SteeringWheels™ , and his work continues to shape modern 3D UI paradigms and spatial computing approaches through projects like DreamSketch and Tesseract.

Stuart HamiltonView profile

Professor

• Remote Sensing
• Geographic Information Systems (GIS)
• Mangrove Ecology
• +4 more

Stuart Hamilton is a part-time Professor and Chair of the Department of Coastal Studies at East Carolina University (ECU) and the UNC Coastal Studies Institute. He holds a Ph.D. in Geography (GIS) from the University of Southern Mississippi (2012), an M.S. in Geography (GIS) from SUNY Buffalo (2003), and a B.S. in Geography and Applied Social Science from Canterbury University (1996). His research focuses on remote sensing and GIS analysis of nearshore environments, particularly mangrove forest change, hurricane impacts, and interactions between environmental degradation and socioeconomic outcomes.

Patrick ChristieView profile

Professor

• Environmental Justice
• Political Ecology
• Marine Protected Areas
• +7 more

Patrick Christie is a Professor at the University of Washington's School of Marine and Environmental Affairs (SMEA) with a joint appointment in the Jackson School of International Studies. His research focuses at the intersection of environmental justice, sustainability science, and marine conservation, emphasizing Indigenous leadership in environmental recovery across the Salish Sea and Great Lakes regions. His research interests center on justice-centered environmental governance, with particular focus on Indigenous-led environmental recovery , petroleum infrastructure resistance movements , and tribal rights in marine resource management . Christie employs participatory action research and digital storytelling methods, working closely with communities like the Tulalip Tribes and Puyallup Chief Leschi Schools to develop collaborative approaches that integrate local, Indigenous, and scientific knowledge systems. His work challenges technocratic approaches to conservation by centering social justice and equity. Christie's recent publications reveal a strong trend toward transdisciplinary collaboration and decolonizing conservation practices , with increasing emphasis on Indigenous knowledge systems, social justice frameworks, and participatory governance models. His work spans marine protected areas, climate adaptation, and coastal community resilience, with significant focus on the Philippines, Indonesia, and North American Indigenous communities. Pew Fellowship in Marine Conservation Christie actively mentors students through SMEA capstone projects and co-teaches specialized courses like Environmental Justice and Political Ecology Field Course and Environmental Justice, Social Movements, and Collaboration in the Time of Climate Change . His research is supported by collaborations with organizations including Future Earth, Painel Mar (Brazil), and tribal governments. He has provided technical advice to the UN Food and Agricultural Organization, World Bank, and USAID. Christie leads projects using participatory research methods to engage tribal communities in environmental recovery efforts, including work with the Tulalip Tribes on coastal squeeze issues and with Winona LaDuke on sustainable agriculture alternatives to petroleum-based economies. He co-hosts workshops exploring human dimensions of environmental change and is developing learning networks to foster collaborative ocean governance.

Katsuyuki HanedaView profile

Associate Professor

• Physical layer wireless communications
• Antennas and propagation
• RF instrumentation and measurements
• +7 more

Katsuyuki Haneda serves as Associate Professor in Aalto University's Department of Electronics and Nanoengineering within the School of Electrical Engineering. Holding a Doctor of Engineering from Tokyo Institute of Technology (2007), his research pioneers high-frequency radio systems including millimeter-wave and Sub-THz communications, with critical applications in medical devices, post-disaster scenarios, and Internet-of-Things networks. Education: Doctor of Engineering, Tokyo Institute of Technology, 2007 Research Focus: Dr. Haneda's work spans Physical layer wireless communications , Antennas and propagation , and RF instrumentation , with groundbreaking contributions to wireless medical applications (notably capsule endoscopy) and in-band full-duplex radio technologies . His group develops advanced channel models for 6G while addressing real-world challenges in post-disaster communications through experimental validation. Publication Trends: Recent 2025 works reveal concentrated advancements in Sub-THz/D-Band communications, featuring innovative antenna designs for 28 GHz systems, channel modeling techniques for 3GPP-like standards, and medical wireless solutions. Publications demonstrate strong experimental emphasis with field measurements across urban, indoor, and medical environments. Scientific Recognition: ISMICT 2019 Best Paper Award (medical wireless) Dual 2013 Best Paper Awards (IEEE VTC Spring & EuCAP) IEICE Best Survey Paper (2015) IEEE AP-S Young Engineer Award (2007) Tokyo Tech Honorary Student Award (2002) Leadership & Collaboration: As Associate Editor for IEEE Transactions on Antennas and Propagation (2012-2016) and Wireless Communications (2013-present), Dr. Haneda shapes field standards. He co-chairs the radio channel working group in COST Action IRACON (CA15104), driving European 5G+/6G research collaboration while supervising graduate researchers in experimental high-frequency communications. Research Infrastructure: The Katsuyuki Haneda Group maintains specialized laboratories for millimeter-wave/Sub-THz channel sounding, antenna characterization, and medical wireless prototyping, supporting hardware-in-the-loop validation for next-generation communication systems.