Find Academic Supervisors

Ellen RathjeView profile

Professor

• Geotechnical Engineering
• Earthquake Engineering
• Seismic Response Analysis
• +5 more

Ellen Rathje is a Professor and Janet S. Cockrell Centennial Chair in Engineering at the University of Texas at Austin's Department of Civil, Architectural, and Environmental Engineering within the Cockrell School of Engineering. Her expertise spans geotechnical engineering with a focus on earthquake engineering, seismic response of earth structures, and liquefaction evaluation. She leads research initiatives such as DesignSafe cyberinfrastructure and TexNet Seismological Network, advancing geohazard risk assessment and computational modeling. Education: Ph.D. (1997), M.S. (1994), and B.S. (1993) in Civil Engineering from University of California, Berkeley and Cornell University. Research Interests: Dr. Rathje investigates earthquake-induced ground failures, including lateral spreading, liquefaction, and slope instabilities. Her work integrates machine learning, finite element analysis, and geospatial data to enhance predictive models for infrastructure resilience. Recent projects address induced seismicity in energy-producing regions, site amplification in Central and Eastern North America, and tailings dam failure mechanisms. Awards: Recipient of the 2022 Ralph B. Peck Award, 2018 William B. Joyner Lecture Award, and 2016 ASCE Fellow distinction. Her work has advanced open science through DesignSafe's cyberinfrastructure, supporting natural hazards research collaboration. Technical Contributions: Developed hybrid finite-element/material point methods for granular collapse modeling, probabilistic frameworks for regional landslide assessments, and neural network-based site amplification models. Active in post-earthquake reconnaissance through GEER (Geotechnical Extreme Events Reconnaissance) and TexNet operations.

• Scientific Machine Learning
• Climate Science
• Earthquake Seismology
• +3 more

Karianne Bergen is an Assistant Professor of Data Science and Earth, Environmental & Planetary Sciences at Brown University, with a courtesy appointment in Computer Science. She leads the Scientific Machine Learning (SciML) Research Group, affiliated with the Data Science Institute (DSI), DEEPS, and the SciAI Center. Her research focuses on scientific machine learning (SciML), including surrogate models for climate science, explainable AI (XAI), and foundation models. She holds a Ph.D. and M.Sc. in Computational and Mathematical Engineering from Stanford University and a B.Sc. in Applied Mathematics from Brown University. Her postdoctoral training included a Harvard University HDSI fellowship in Computer Science. Education: B.Sc. Applied Mathematics, Brown University (2009) M.Sc. Computational and Mathematical Engineering, Stanford University (2015) Ph.D. Computational and Mathematical Engineering, Stanford University (2018) Research Interests: Dr. Bergen’s work bridges machine learning and Earth sciences, emphasizing scalable methods for climate modeling and geophysical data analysis. Her group develops emulators for Antarctic ice sheet dynamics, XAI frameworks for climate data interpretation, and scientific foundation models for geoscience applications. Recent projects include GAN-based sea ice resolution enhancement and flow-based neural networks for sea level projections. Awards: Harvard Data Science Initiative Postdoctoral Fellowship (2018–2020) Stanford Graduate Fellowship in Science and Engineering (2011–2015) Outstanding Student Paper Award, American Geophysical Union (2015) Advising & Collaborations: She mentors PhD students in Earth, Environmental, and Planetary Sciences and collaborates with institutions like MIT-Lincoln Laboratory, SciAI Center, and international geoscience groups. Her lab includes postdocs (e.g., Hilarie Sit) and alumni from data science practicum programs. Labs/Teams: The SciML group at Brown University focuses on multidisciplinary projects at the intersection of AI and Earth sciences, with recent presentations at AGU Fall Meetings and the AI for Science Workshop at ICML.

• Software Engineering
• Spatial Information Systems
• Accessibility Technology
• +3 more

David McMeekin is a Senior Lecturer at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS), part of the Faculty of Science and Engineering. He holds a PhD in Software Engineering focusing on the human aspects of software development and has extensive experience in both academia and international NGOs. His research emphasizes applying technology to solve societal challenges, including accessibility for vision-impaired individuals, autism support through tech, cultural heritage preservation, and spatial data infrastructure. Education and professional background are not explicitly detailed in this profile, though his career spans over three decades in education and tech sectors. Research interests include semantic web technologies for spatial data, assistive technologies for disabilities, and digital humanities. He has been recognized with the 2014 Western Australian Spatial Educator of the Year award. Teaching spans topics like software engineering, programming languages (C, Java, Python), cross-cultural communication, and spatial data processing. His work bridges technical innovation with social impact, particularly in enhancing accessibility and cultural preservation through digital tools.

Fan-Rui MengView profile

Professor

• Hydrology
• Ecological Modeling
• Watershed Management
• +6 more

Dr. Fan-Rui Meng is a Professor at the Faculty of Forestry and Environmental Management, University of New Brunswick (UNB). He holds an adjunct professorship at Fujian Agriculture and Forestry University, China. His expertise spans hydrology, ecological modeling, watershed management, and climate change impacts. Dr. Meng earned his PhD in forest ecology from UNB and has held research leadership roles at institutions like the Noranda/Avenor and Bowater/Nexfor Forest Watershed Research Centres. He has extensive experience in soil conservation, GIS applications, and drone technology for environmental protection. Education: Bachelor and Master of Forestry Engineering, Northeast Forestry University, China PhD in Forest Ecology, UNB Research Interests: Hydrological processes in agricultural and forested watersheds Climate change adaptation in forest ecosystems Soil erosion and conservation strategies Integration of drone technology for environmental monitoring Carbon cycling in forest systems Modeling forest growth under climate projections Recent Research Trends: His recent work focuses on nitrate dynamics in agricultural watersheds, impacts of climate change on crop yields, and improving SWAT model accuracy through detailed land-use data. He has explored innovative methods for riparian zone mapping using UAVs and photogrammetry, emphasizing precision in environmental assessments. Awards: None explicitly listed in the provided texts. Grants & Advising: Dr. Meng has led numerous research projects but no specific grants or student advisees are mentioned. His work has been published in journals like Hydrological Processes , Journal of Hydrology , and Water Resources Management . Labs & Teams: He has directed research at the Noranda/Avenor and Bowater/Nexfor Forest Watershed Management Centres, focusing on applied ecological and hydrological research.

Michelle VineView profile

Assistant Professor

• Public Health Practice
• Program Evaluation
• School Health
• +5 more

Michelle Vine, PhD, CE, is an Assistant Professor in the Department of Health Sciences at Brock University’s Faculty of Applied Health Sciences. She holds a PhD in Health Geography (McMaster University, 2013) and an MA in Sociology (Acadia University, 2006). Her research focuses on public health practice, program evaluation, school nutrition policy, and adolescent mental health, emphasizing qualitative methods to explore how environments shape health outcomes. She previously worked as an Evaluation Specialist at Public Health Ontario and holds the Credentialed Evaluator designation from the Canadian Evaluation Society. Dr. Vine’s research interests include school nutrition policy compliance, health literacy, and the scholarship of teaching and learning. She has contributed to studies assessing Ontario’s Healthy Kids Community Challenge and the COMPASS study’s vending machine data. Her work also addresses Indigenous evaluation methodologies and health equity. She is affiliated with Brock University’s Health Sciences Research Ethics Board and various academic committees. Her teaching portfolio includes courses like Foundations of Program Evaluation and Measuring Health Equity, reflecting her commitment to bridging research and practice. Dr. Vine’s publications span peer-reviewed journals in public health, education, and geography, with a focus on policy implementation, school environments, and collaborative knowledge exchange.

Rebecca ShakespeareView profile

Lecturer

• Geographic Information System (GIS)
• Urban Geography
• Housing Policy
• +5 more

Rebecca Shakespeare is a Lecturer in Urban & Environmental Policy & Planning at Tufts University's School of Arts and Sciences. She holds a Ph.D. in Geography and GIS from the University of Illinois at Urbana-Champaign (2019), an M.A. in International Communication from American University (2007), and a B.A. in History from Indiana University Bloomington (2005). Her research focuses on urban housing affordability, neighborhood dynamics, and spatial equity, employing qualitative GIS, interviews, and policy analysis. Notably, her NSF-funded dissertation explored middle-income renters' mobility decisions in New York City, Beijing, and Chicago. She has also conducted fieldwork on environmental exposure and urban transportation patterns in Massachusetts. Her work bridges urban geography and policy, emphasizing how residents perceive and are impacted by urban environments. Recent publications address housing opportunity perceptions, public transportation trends, and allergy-friendly urban food access. Prior to academia, Shakespeare served as a Presidential Management Fellow and digital media analyst at the U.S. Agency for Global Media. Her research has been supported by the National Science Foundation, reflecting her expertise in linking spatial analysis to socio-economic urban challenges. While no formal advisees are listed, her teaching and research mentorship contribute to the next generation of urban planners and geospatial analysts.

• Data-Driven Optimization
• Large-Scale Data Analytics
• Machine Learning
• +4 more

Hai Wang is an Associate Professor at the School of Computing and Information Systems, Singapore Management University, and a Visiting Professor at Carnegie Mellon University's Heinz College. His research bridges data-driven optimization, machine learning, and urban systems, with applications in smart cities, transportation, and shared economies. He holds a PhD in Operations Research from MIT and a BS from Tsinghua University. Research Focus: Wang pioneers methodologies in large-scale data analytics and stochastic optimization to address challenges in ride-sourcing, food delivery logistics, and urban mobility. His work emphasizes practical implementations, including collaborations with industry leaders like Meituan and DiDi. Publications: His recent articles (2023-2025) predominantly explore transportation economics, platform operations, and behavioral analytics in service systems, using advanced computational techniques to model complex urban networks. Honors: World's Top 1% Scientist (2024), Transportation Science Meritorious Service Award (2022-2024), INFORMS Best Paper Award (2024) Grants: Principal Investigator for SG$4M National Research Foundation project on AI-empowered urban systems; collaborations with Tokka Labs (SG$156k) and Mobility21 (US$186k) Students: Advises PhD candidates YANG Jingfeng and Rajiv Ranjan KUMAR on optimization and machine learning applications. Leadership: Serves as Associate Editor for Transportation Science , IISE Transactions , and Service Science , and co-leads INFORMS Transportation Science and Logistics Society initiatives.

Kostas MagoutisView profile

Professor

• Distributed computer systems
• Scalable data stream processing
• Internet of Things
• +3 more

Kostas Magoutis is Professor and Chair of the Computer Science Department at the University of Crete and collaborating researcher with FORTH-ICS. His research focuses on distributed systems, scalable data processing, IoT, and cloud computing, with projects including GreenInCities for urban regeneration and STREAMSTORE for stateful stream processing systems. Research interests include: Distributed computer systems architecture Elastic stream processing platforms Quantum-enhanced computing applications Multi-cloud application lifecycle management Recent publications demonstrate strong focus on federated data systems, quantum computing applications, and IoT-enhanced infrastructure, with consistent output in high-impact conferences and journals. Awards and distinctions: Multiple best paper awards from USENIX conferences Grand Challenge Audience Award at DEBS 2022 Marie Curie Fellowship and IBM Research awards Advises over 20 PhD and MSc students in distributed systems research. Leads multiple EU-funded projects and serves on program committees for top conferences including SOSP, EuroSys, and IEEE BigData. Directs research groups in distributed systems and cloud computing at FORTH-ICS.

Nirwan AnsariView profile

Professor

• 6G Networks
• Wireless Charging
• Machine Learning
• +5 more

Nirwan Ansari is a Distinguished Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on cutting-edge advancements in 6G networks , wireless charging , machine learning , and Internet of Things (IoT) . He has contributed extensively to AI-driven network optimization and sustainable energy solutions for next-generation communication systems. Ph.D., Electrical Engineering, Purdue University (1988) M.S., Electrical Engineering, University of Michigan-Ann Arbor (1983) B.S., Electrical Engineering, NJIT (1982) His recent work explores AI-native network slicing , UAV-assisted edge computing , and holographic communication . Publications highlight synergies between terrestrial and non-terrestrial networks , digital twin integration, and energy-efficient IoT systems . He serves as an Honorary Chair and contributes to major conferences like IEEE INFOCOM and IWCMC.

Andrea GasparellaView profile

Professor

• Building Physics
• Energy Engineering
• Indoor Environmental Quality
• +5 more

Andrea Gasparella is a Tenured Full Professor and Dean of the Faculty of Engineering at the Free University of Bozen-Bolzano, located at NOI Techpark in Bozen-Bolzano, Italy. His research focuses on building physics, energy systems, and inclusive design, with a particular emphasis on indoor environmental quality for neurodivergent individuals and sustainable urban development. He leads projects like the Flexibots initiative (biodegradable medical microrobots) and BeSENSHome (autonomy support for neurodivergent people). His work integrates advanced modeling (e.g., CFD, machine learning) with real-world applications in energy efficiency, climate adaptation, and human-centered design. Key research areas include thermal and acoustic comfort, renewable energy integration, and smart building technologies. He collaborates with industry partners like Galileo High School and regional institutions to advance automation and robotics. Notable contributions include studies on urban heat islands, energy retrofit strategies for historic buildings, and the impact of ventilation on contagion risks in educational settings. As Dean, he promotes innovation through interdisciplinary initiatives at NOI Techpark, including new engineering programs and infrastructure like the university canteen. His publications span over 50 peer-reviewed articles in journals and conferences like Building Simulation Applications (BSA), addressing topics ranging from solar irradiance prediction in mountain regions to the psychophysical needs of neurodivergent populations. He actively contributes to policy discussions on decarbonization and energy equity in Alpine contexts. Professional activities include organizing events such as the 'nextFSE' fire safety conference and engaging with local organizations like Rotary Clubs to foster community ties. His work bridges academic research with practical solutions for climate resilience, accessibility, and technological advancement.

Manolis KoubarakisView profile

Professor

• Artificial Intelligence
• Data Science
• Linked Data
• +3 more

Manolis Koubarakis is a Professor and Director of Graduate Studies at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. He is affiliated with the Archimedes Unit at Athena Research Center and is a member of ELLIS. His research focuses on Artificial Intelligence and Data Science, particularly in Linked Geospatial Data, Earth Observation, and Knowledge Graphs. Education: PhD in Computer Science (National Technical University of Athens), M.Sc. in Computer Science (University of Toronto), and B.Sc. in Mathematics (University of Crete). Research Interests: His work spans AI applications in geospatial data, entity resolution, ontology-based data access (OBDA), and semantic web technologies. He leads projects like ExtremeEarth (AI for Copernicus data) and LEO (linked Earth Observation data). Awards: 2015: Fellow of the European Association of Artificial Intelligence (EurAI) 2022: Best Demo Award at CIKM for Copernicus App Lab Advising & Grants: Supervises students in AI and data science. Collaborates on EU-funded projects like BigDataEurope and participates in initiatives like the Standing Scientific Committee for AI in Greece's justice system. Labs & Teams: Heads the AI Lab (ai.di.uoa.gr) and contributes to the MaDgIK group, focusing on data and knowledge management systems.

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +11 more

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

Veronika MoosesView profile

Research Fellow

• Human Geography
• Social Geography
• Urban Studies
• +5 more

Veronika Mooses is a Research Fellow in Human Geography at the University of Tartu’s Faculty of Science and Technology, affiliated with the Institute of Ecology and Earth Sciences. Her research focuses on ethnic segregation, spatial analysis, and urban geography, leveraging mobile phone data and geospatial methods. She holds a PhD from the University of Tartu (2021) and has taught courses including 'Planning Project' and 'Research Methods in Human Geography' since 2016. Currently involved in projects like Cycle4Climate (2024–2027) and OPEN LAB (2021–2026), she has supervised four master’s theses on topics ranging from ethnic segregation metrics to smart city retrofitting. Her work bridges demographic studies with technological innovation, emphasizing climate justice and urban sustainability. Education: Doctor’s Degree in Human Geography, University of Tartu (2021) Master’s Degree in Human Geography and Regional Planning, University of Tartu (2014) Bachelor’s Degree in Geography, University of Tartu (2011) Research Interests: Ethnic segregation patterns, spatial inequality, climate justice, smart city technologies, and urban mobility. Her work often employs mobile phone data and geospatial analytics to explore demographic dynamics in urban and regional contexts. Key Projects: Cycle4Climate (2024–2027): Co-creating sustainable cycling solutions in the Baltic region. OPEN LAB (2021–2026): Innovating positive energy neighborhoods through living labs. Publications: Over 10 peer-reviewed articles and book chapters, focusing on segregation analysis, climate justice, and smart urban technologies. Recent work includes studies on thermal inequality in Spain and transnational activity spaces.

Tom GleesonView profile

Professor

• Groundwater Sustainability
• Hydrogeology
• Environmental Science
• +7 more

Dr. Tom Gleeson is a Professor and President’s Chair in the Department of Civil Engineering at the University of Victoria, Canada. His research focuses on groundwater sustainability, mega-scale groundwater systems, groundwater-surface water interactions, and fluid dynamics in geologic structures. He integrates geocomputation, data science, numerical modeling, field hydrogeology, and sustainability science to address interdisciplinary challenges. Gleeson holds a PhD from Queen’s University and is a licensed Professional Engineer (P.Eng.). Education: PhD (Queen’s University), P.Eng. License Research Themes: Groundwater sustainability, climate change impacts, socio-ecological systems, and planetary boundaries His work emphasizes global groundwater governance, environmental flow management, and Indigenous reconciliation in water science. Recent research highlights include quantifying groundwater’s role in planetary boundaries, evaluating nitrate contamination risks, and developing open-access groundwater modeling tools (e.g., GroMoPo). He advocates for community-based and arts-informed approaches to hydrogeology. His team, the Groundwater Science and Sustainability (GSAS) group, collaborates internationally to advance sustainable water management. Publications focus on groundwater’s socio-ecological connections, climate adaptation strategies, and innovative modeling frameworks. He actively engages with policymakers, Indigenous communities, and the public through blogs, social media, and open-access platforms.

Laura MinetView profile

Assistant Professor

• Air Quality
• Population Exposure to Air Pollution
• Population Health
• +3 more

Dr. Laura Minet is an Assistant Professor in the Department of Civil Engineering at the University of Victoria. She leads the Clean Air (CLAIR) lab, focusing on improving urban air quality and reducing health impacts from air pollution through advanced modeling and policy analysis. Her expertise spans air quality, transportation engineering, and population health. Education: BEng/MEng (Ecole Centrale de Nantes), MASc (McGill University), PhD (University of Toronto). Postdoctoral work at the Diamond Environmental Research Group (2020-2021). Research Interests: Urban air quality modeling, vehicle emissions, dispersion modeling, and the intersection of transportation policies with public health. The CLAIR lab develops empirical and physical models to evaluate urban planning impacts and climate-driven changes. Recent research emphasizes machine learning applications in air quality prediction, health co-benefits of zero-emission vehicles, and disparities in pollution exposure. Over 40 publications span environmental engineering, public health, and transportation systems. Recruitment: Actively seeking graduate students/postdocs in environmental engineering, atmospheric science, and related fields. Contact via email with subject 'CLAIR lab opportunities'. Labs/Teams: Director of the CLAIR lab focusing on urban air quality solutions. Engaged in interdisciplinary collaborations involving urban planning, public health, and environmental policy.