Find Academic Supervisors

Brian LeungView profile

Associate Professor

• Predictive Ecology
• Biological Invasions
• Sustainability Science
• +12 more

Brian Leung is an Associate Professor at McGill University, jointly affiliated with the Department of Biology and the Bieler School of the Environment . He holds the prestigious UNESCO Chair for Dialogues on Sustainability and serves as Director of the McGill Neotropical Environment Option (NEO) , a collaborative program with the Smithsonian Tropical Research Institute. His work bridges ecological theory, computational modeling, and environmental policy. Dr. Leung earned his PhD in Biology from Carleton University and completed postdoctoral research at the University of Cambridge and the University of Notre Dame. His academic journey at McGill began in 2004 as an Assistant Professor, advancing to Associate Professor in 2010. His research centers on predictive ecology , particularly modeling biological invasions and sustainability challenges . He develops and applies mathematical, statistical, and computational models to understand invasion dynamics across terrestrial, aquatic, and marine systems. His recent work includes the Panama Research and Integrated Sustainability Model (PRISM) , a spatially explicit framework for sustainability science in the Global South. His research spans scales from local to global and integrates ecological, economic, and social factors. His recent publications show a strong focus on invasion risk assessment , species distribution modeling , economic costs of invasions , and ecological forecasting . He frequently publishes in top journals such as Nature , Ecology Letters , and Global Ecology and Biogeography , emphasizing data-driven decision-making and policy relevance. Dr. Leung has received significant recognition through invitations to contribute to major reports and has co-edited influential works on invasive species economics. While specific named awards are not listed, his leadership roles and publication record reflect high scientific esteem. He actively mentors a dynamic research group, supervising multiple Ph.D. and M.Sc. students on projects related to invasion modeling, mangrove conservation, forest pest dynamics, and urban ecology. His lab emphasizes quantitative skills and interdisciplinary collaboration. He has secured research funding to support these projects, though specific grants are not detailed in the text. He leads the Leung Lab , which focuses on predictive modeling in ecology and sustainability. The lab collaborates with institutions such as the Smithsonian Tropical Research Institute and environmental firms like Habitat. Current projects include multi-species connectivity modeling, mangrove ecosystem services, and forecasting forest pest outbreaks.

Alessio RussoView profile

Senior Lecturer

• Urban Green Infrastructure
• Nature-Based Solutions
• Urban Ecosystem Services
• +6 more

Dr. Alessio Russo is a Senior Lecturer in Landscape Architecture at the School of Architecture and Built Environment, Queensland University of Technology (QUT). As a recognized expert in urban ecosystem services and green infrastructure, his research bridges environmental design with human health and climate change mitigation. His research emphasizes enhancing urban human health and wellbeing through biodiverse green spaces, participatory design, and nature-based solutions that address thermal comfort, pollution removal, food production, and water runoff. Key projects include 2023-2024: Urban rewilding aesthetics & people's needs in blue/green infrastructure (UKRI RECLAIM Network Plus) 2023: Climate-resilient public spaces (RPA Small Grants, UoG) 2021-2022: Shared vision for urban greening (UCL & Net Zero Innovation Programme) His scholarly output spans 2014-2025, focusing on nature-based urban regeneration aligned with SDG 11. He serves as Associate Editor for Urban Agriculture and Regional Food Systems and sits on editorial boards of Urban Planning, Discovering Cities, and Urban Resilience and Sustainability. Professional memberships include IFLA, ICOMOS-IFLA, and IUCN CEM.

• Conservation ecology
• Population ecology
• Landscape ecology
• +3 more

Robert Fletcher is a Researcher at the University of Cambridge, affiliated with the Department of Zoology and the C-CLEAR Doctoral Training Partnership . His work focuses on applied ecology and conservation science, utilizing landscape and population ecology to address biodiversity challenges globally. Research Areas : Conservation biology, population ecology, landscape ecology, environmental informatics Collaborations : Partners in North America, Europe, Africa, and Southeast Asia Key Themes : Species extinction prevention, landscape conservation prioritization, and rapid biodiversity data delivery Email : rf497@cam.ac.uk Fletcher's interdisciplinary approach integrates fieldwork (e.g., Everglades endangered species, African elephants) with advanced modeling of habitat loss, fragmentation, invasive species, and climate change impacts. His recent work emphasizes: Drivers of species decline and recovery strategies Landscape management and restoration techniques Interdisciplinary collaborations with engineers, social scientists, and computer scientists His publications span topics like savanna ecosystem dynamics, community science applications, and conservation forecasting, reflecting a commitment to actionable science for global biodiversity preservation.

Silu WangView profile

Assistant Professor

• Speciation
• Adaptation
• Forest Evolutionary Genomics
• +3 more

Dr. Silu Wang is an Assistant Professor in the Department of Biological Sciences at the University at Buffalo. Her research focuses on speciation, adaptation, and forest evolutionary genomics, particularly in avian species. She leads the Forest Speciation Lab, studying the genomic and ecological mechanisms underlying species divergence in North American and global forest ecosystems. Her work integrates field studies, genomic analyses, and computational modeling to address biodiversity conservation challenges under climate change. Education: BS in Behavior Genetics and Neurobiology, University of Toronto MA in Ecology, Evolution and Behavior, University of Texas, Austin PhD in Zoology, University of British Columbia Postdoctoral Research at University of California Berkeley and UC Davis Research Interests: Dr. Wang investigates how hybridization, climate adaptation, and reproductive isolation shape avian biodiversity. Her lab uses old-growth forest bird species as models to study early-stage speciation processes, including mate choice, genetic incompatibilities, and mitochondrial-nuclear interactions. Key themes include understanding organismal responses to environmental changes and developing genomic tools for conservation prioritization. Lab and Teams: The Forest Speciation Lab collaborates with institutions globally, focusing on fieldwork in temperate and tropical forests. Current projects include studies on warbler hybrid zones, tinamou speciation, and the genomic architecture of mitonuclear coevolution. Teaching: Dr. Wang teaches courses on Speciation, Tropical Ecology, and Evolutionary Biology, emphasizing hands-on research training for students.

• Arctic Governance
• Subnational Decision-making
• Environmental Policy
• +3 more

Pavel Tkach is a Researcher at the Arctic Centre , University of Lapland. His research focuses on Arctic governance, subnational decision-making, and policy analysis, with a particular emphasis on environmental policy, migration studies, and indigenous rights. Tkach has been actively involved in EU-funded projects such as Arctic PASSION (observing systems for societal needs), SIRIUS 3.0 (migrant education data mapping), and Co-CREATE (responsible solar radiation modification research). He holds a Law background and has contributed to interdisciplinary research on topics like Nordic forest policy, green transition in the Arctic, and indigenous data sovereignty. Tkach has organized major events such as the Arctic Circle Assembly 2024 and Rovaniemi Arctic Spirit 2023 , showcasing his role in fostering international collaboration. His research outputs include commissioned reports on data-driven governance frameworks and peer-reviewed articles on climate policy, cultural security, and Arctic socio-legal dynamics. Tkach collaborates with institutions across Europe and is a key contributor to pan-Arctic observational systems and sustainable tourism initiatives.

Nick HaddadView profile

Professor

• Ecology
• Conservation Biology
• Habitat Fragmentation
• +5 more

Nick Haddad is a Professor of Integrative Biology at Michigan State University and serves as the Director of the Long-Term Ecological Research (LTER) site at Kellogg Biological Station. His research focuses on ecological experimentation, particularly examining how habitat loss and fragmentation impact biodiversity and ecosystem functioning. He specializes in reversing these negative effects through landscape connectivity strategies and diversified working landscapes, with a strong emphasis on insect conservation, including critically endangered butterfly species. Role: Professor, Integrative Biology Directorship: KBS LTER Site Location: 322 Kellogg Biological Station Email: haddadn3@msu.edu Haddad's research spans habitat fragmentation, biodiversity conservation, climate change impacts, and agricultural sustainability. His lab conducts large-scale experiments like the Corridor Project and studies rare butterflies (e.g., St. Francis’ satyr, Miami blue) to understand extinction risks and recovery strategies. Recent work explores pesticide effects, prairie restoration, and long-term ecological trends. The 15 most recent publications highlight habitat fragmentation's ecological impacts, climate-driven phenological shifts, and innovative conservation approaches. Key themes include biodiversity monitoring, pesticide-driven declines, prairie restoration for pollinators, and climate adaptation strategies. His work leverages long-term datasets (e.g., 40-year LTER) and integrates theory with applied conservation. Lab activities include mentoring undergraduate and graduate students at KBS, leading the Haddad Lab, and collaborating on projects like the KBS-LTER and SRS Corridor initiatives. Research spans both terrestrial and agroecosystems, emphasizing actionable solutions for conservation and sustainable land use.

Xiaocheng ShangView profile

Associate Professor

• Mathematical Optimization
• Data Science
• Numerical Analysis
• +3 more

Xiaocheng Shang is an Associate Professor in Mathematical Optimisation and Data Science at the University of Birmingham's School of Mathematics. His research focuses on numerical methods for stochastic differential equations, with applications in computational mathematics, statistics, physics, and data science. He is affiliated with the Optimisation and Numerical Analysis Group, Statistics and Data Science Group, and the Institute for Data and AI. Shang holds a PhD in Applied and Computational Mathematics from the University of Edinburgh (2016) and completed postdocs at the University of Edinburgh, Brown University, and ETH Zurich before joining Birmingham in 2019. His academic achievements include fellowships from The Alan Turing Institute, the LMS Emmy Noether Fellowship, and the EUniWell Leadership Fellowship. He has secured funding from EPSRC, the Royal Society, and the Isaac Newton Institute. Shang is actively involved in supervising PhD students and co-organizing research initiatives such as the Data Science and Computational Statistics Seminar. Research interests include structure-preserving integrators, Bayesian sampling techniques, and machine learning applications in dynamical systems. His work bridges numerical analysis, probability theory, and multiscale modeling in materials science. Recent projects involve neural networks for complex dynamical systems and numerical algorithms for deterministic/stochastic systems.

• Machine Learning
• Data Mining
• High-Performance Computing
• +5 more

Prof. Dr. Fabian Gieseke is a Professor and Chair of Machine Learning and Data Engineering at the University of Münster. He holds a PhD in Computer Science from Carl von Ossietzky University of Oldenburg and a dual degree in Mathematics and Computer Science from the University of Münster. His research focuses on Machine Learning, High-Performance Computing, and their applications in Geosciences, Smart Cities, and Astrophysics. Education: PhD in Computer Science (2012), Carl von Ossietzky University of Oldenburg University studies in Mathematics and Computer Science (2006–2011), University of Münster Research Interests: Data Mining and Machine Learning High-Performance Computing & Distributed Systems Deep Learning Applications in Environmental Science and Astrophysics Geospatial Data Analysis using Satellite Imagery Publications Trends: His recent work emphasizes large-scale environmental monitoring via deep learning, including canopy height estimation, forest biomass prediction, and national-scale tree counting. He also explores interactive systems for geospatial data retrieval and optimization of machine learning models for resource-constrained environments. Advising & Grants: Supervised over 30 theses on topics like satellite image analysis, deep learning on microcontrollers, and data marketplaces for smart grids. Active in securing grants for interdisciplinary projects combining AI with Earth observation. Labs/Teams: Leads the Machine Learning and Data Engineering group at the University of Münster, focusing on scalable AI solutions for real-world challenges in science and industry.

• Zoology
• Entomology
• Applied Entomology
• +13 more

Teresa Bonacci is an Associate Professor in the Department of Biology, Ecology and Earth Sciences at the University of Calabria (UNICAL), where she conducts research and teaches in zoology with a focus on entomology. She is also the Scientific Director of the Zoology Museum within the university's museum system (SIMU). Her academic affiliations include membership in the PhD School of Life Science and Technology and leadership roles in degree program coordination. Laurea in Natural Sciences, University of Calabria PhD in Animal Biology, University of Calabria Socrates/Erasmus Scholarship, University of Kiel, Germany Research Grant (Assegno di ricerca), SSD BIO/05, University of Calabria National Scientific Qualification for Full Professor (I fascia) Her research spans applied and medico-veterinary entomology, forensic entomology, and conservation biology. She investigates saproxylic beetles (e.g., Cucujus spp.), pollinators (bees, flies, beetles), and insect behavior, especially in forensic contexts such as post-mortem interval estimation and myiasis. Her work integrates taxonomy, morphology, ecology, and chemical signaling, often in collaboration with chemists, legal experts, and conservation agencies. She has published extensively in high-impact journals, with over 80 scientific publications and strong citation metrics. The most recent articles reflect a multidisciplinary trend, combining taxonomy, forensic science, biodiversity monitoring, and veterinary entomology. Topics include the discovery of new insect species in Italy, the role of beetles in decomposition, insect damage in cultural heritage, and myiasis in domestic and wild animals. These works highlight her expertise in both fundamental zoological research and practical applications in forensics and conservation. Scientific Contributions: Over 80 scientific publications Scopus h-index: 15; Google Scholar h-index: 20 Key researcher in saproxylic beetle conservation Pioneer in forensic entomology studies in Southern Italy Active collaborator with legal and medical institutions She supervises numerous PhD and master's students and has directed over 90 theses. Her teaching responsibilities include courses in Zoology, Entomology, Forensic Entomology, and Medical-Veterinary Entomology. She is deeply involved in student mentorship, thesis supervision, and academic service, including examination boards and curriculum development. She also leads biodiversity monitoring projects in Calabrian national parks and has contributed to the development of machine learning tools for insect identification. Her research team collaborates with national and international institutions, including the CNR, University of Milan, and forensic pathology units. She leads projects on bioindicators, insect-plant interactions, and the impact of climate change on mountain species. The Zoology Museum under her direction supports both research and public outreach.

Philipp PoradaView profile

Assistant Professor

• Ecological Modeling
• Non-vascular vegetation
• Biogeochemical cycles
• +5 more

Dr. Philipp Porada is a Junior Professor of Ecological Modeling at the University of Hamburg, affiliated with the Department of Biology within the Faculty of Mathematics, Computer Science and Natural Sciences. He works at the Institute of Plant Sciences and Microbiology, specifically in the Applied Plant Ecology group, based at the Otto Warburg House. His research integrates process-based modeling with ecological field studies to investigate non-vascular vegetation, biogeochemical cycles, and climate-vegetation interactions across multiple temporal and spatial scales. Porada's research focuses primarily on non-vascular vegetation (bryophytes, lichens, and biocrusts), examining their role in global biogeochemical cycles, biodiversity-ecosystem functioning relationships, and paleoclimate dynamics. His work spans from contemporary ecosystem processes to geological time scales, with particular emphasis on the impacts of climate change on non-vascular communities. He has developed several process-based models including LiBry for lichen and bryophyte communities, LiDELS for soil-vegetation interactions, and LYCOm for early vascular plants. His research demonstrates how non-vascular vegetation influences carbon sequestration, water cycling, and soil processes across diverse ecosystems from urban forests to polar regions. Analysis of Porada's publication record reveals a strong interdisciplinary approach combining ecological theory, biogeochemistry, and computational modeling. His work spans multiple ecosystems including peatlands, drylands, urban forests, and coastal blue carbon systems. A consistent theme across his research is understanding how non-vascular vegetation mediates the relationship between environmental conditions and ecosystem functions. His most recent work increasingly focuses on climate change impacts and potential mitigation strategies through vegetation management. Porada leads two major research projects funded by the German Research Foundation (DFG): 'Effects of nutrient limitation on non-vascular vegetation under climate change' and 'The role of early plants for palaeoclimate dynamics'. These projects reflect his dual interest in contemporary environmental challenges and deep-time ecological processes. His collaborative work, evident in his extensive publication record with international researchers, demonstrates strong interdisciplinary connections across ecology, biogeochemistry, and climate science. Dr. Porada maintains an active research laboratory focused on ecological modeling, with particular expertise in non-vascular vegetation dynamics. His team develops and applies process-based models to address questions ranging from micro-scale lichen water relations to global biogeochemical cycles. The research group collaborates extensively with field ecologists, climate scientists, and biogeochemists to ground-truth model predictions and explore new ecological phenomena.

Andrew PlantingaView profile

Professor

• Natural Resource Economics
• Land Use Policy
• Climate Change
• +4 more

Andrew Plantinga is a Professor of Natural Resource Economics and Policy at the Bren School of Environmental Science and Management, UC Santa Barbara. He also serves as Director of the Productive Landscapes Group at the Environmental Markets Solution Lab (emLab). His academic journey includes faculty roles at Oregon State University and the University of Maine before joining UCSB in 2012. He holds a PhD in Agricultural and Resource Economics from UC Berkeley, an MS in Forestry from the University of Wisconsin, and a BA in English from Grinnell College. Plantinga’s research focuses on the economics of land use, climate change, and forests. Key areas include econometric modeling of land-use decisions, environmental policy analysis, and wildfire risk management. A current NSF-funded project examines how wildfire salience influences public agency decisions. He emphasizes tradable property rights for groundwater management and has authored/co-authored over 80 journal articles, including high-impact publications in Journal of Environmental Economics and Management and Proceedings of the National Academy of Sciences . His work frequently addresses policy implications of land-use changes, such as urban growth boundaries and agricultural intensification. Recent studies explore wildfire management effectiveness, stranded public lands’ economic impacts, and carbon sequestration costs. Plantinga advises PhD students focusing on economics, including Linus Blomqvist. Grants include NSF support for wildfire policy analysis. He teaches Bren School courses like Natural Resource Economics and Cost-Benefit Analysis. His labs and collaborations, such as emLab, aim to bridge economic and ecological approaches to environmental challenges.

David NewburnView profile

Associate Professor

• Environmental Economics
• Land Economics
• Water Resource Economics
• +6 more

David Newburn is an Associate Professor in the Department of Agricultural and Resource Economics at the University of Maryland, College of Agriculture and Natural Resources. His research focuses on environmental and resource economics, particularly land-use regulations for farmland and forest preservation, and water quality in the Chesapeake Bay. He develops spatial models to manage urban sprawl and evaluates incentive-based programs for conservation practices. Research Areas: Land-Use Change and Urban Sprawl Water Quality Trading and Conservation Spatial Economic Modeling Payment for Ecosystem Services (PES) Collaborations: NSF-funded Baltimore Ecosystem Study (BES) National Center for Smart Growth Chesapeake Bay Program Scientific and Technical Advisory Committee Recent Publications: Highlight trends in household behavior, land-use policy effectiveness, and coastal adaptation to climate impacts. Articles span environmental economics, urban ecology, and interdisciplinary sustainability research. Education: B.S., University of Maryland, College Park (1991) Ph.D., University of California, Berkeley (2002)

Ross MeentemeyerView profile

Professor

• Geospatial Analytics
• Ecological Forecasting
• Biological Invasions
• +3 more

Ross Meentemeyer is a Professor and Director of the Center for Geospatial Analytics at North Carolina State University, affiliated with the Department of Forestry and Environmental Resources in the College of Natural Resources. He holds a Ph.D. in Geography from the University of North Carolina, Chapel Hill (2000) and a B.S. in Geography from the University of Georgia (1993). His research focuses on geospatial analytics, ecological forecasting, biological invasions, and forest health, with a strong emphasis on integrating geospatial data and modeling to address environmental challenges. Dr. Meentemeyer's work includes developing decision-support tools for pest management, climate adaptation, and land-use planning. Notable projects involve forecasting invasive species spread via international trade, creating open-source geospatial platforms, and modeling floodplain development risks. He collaborates extensively with federal agencies like USDA, DOI, and NPS to translate research into practical solutions. His grants include multi-million dollar NSF and USDA-funded initiatives addressing plant disease pandemics, agricultural pest threats, and geospatial infrastructure development. Key outcomes include the PAdb system for pandemic prediction and the FUTURES model for urbanization forecasting. He also leads efforts to enhance stakeholder engagement through participatory modeling tools like Tangible Landscape. Research contributions span 20+ years, with over 100 peer-reviewed articles on topics like viewscape modeling, river water dynamics, and wildfire-epidemic interactions. His work bridges ecological and social sciences, emphasizing actionable solutions for sustainable land management and climate resilience.

Noah MolotchView profile

Professor

• Snow Hydrology
• Surface Water Hydrology
• Remote Sensing
• +5 more

Noah Molotch is a Professor of Geography at the University of Colorado Boulder, where he serves as Director of the Mountain Hydrology Group and is a Fellow of INSTAAR (Institute of Arctic and Alpine Research). His research and teaching focus on hydrologic processes in mountainous regions with expertise in snow hydrology, remote sensing, and ecohydrology. Molotch earned his Ph.D. from The University of Arizona in 2004. His research utilizes ground-based observations, remote sensing, and computational modeling to understand hydrological processes, particularly snow distribution and water-carbon-nitrogen fluxes in mountain ecosystems. His work has significant implications for sustainable resource management and environmental policy. His recent publications show a strong focus on snow water equivalent estimation, snowmelt timing impacts on forest productivity, and the development of advanced remote sensing techniques for monitoring mountain hydrology. His research increasingly addresses climate change impacts on water resources, with particular attention to the Western United States. Fellow of INSTAAR Art+Science fellowship in partnership with artist Hannah Taylor Molotch advises numerous graduate students and leads significant research projects including those funded by NASA and NSF. His Mountain Hydrology Group operates field sites across the Western U.S., including Storm Peak Laboratory and Niwot Ridge Long Term Ecological Research Program. The group produces near-real-time snow water equivalent estimates and contributes to the Snow Today website at the National Snow and Ice Data Center.

Hyuck Jin ParkView profile

Professor

• Landslide Hazard Assessment
• Geotechnical Engineering
• Machine Learning Applications
• +5 more

Hyuck Jin Park is a Full Professor in the Department of Energy Resources and Geosystems Engineering at Sejong University, South Korea, where he has been teaching and conducting research since 2003. With a Ph.D. in Engineering Geology from Purdue University, his expertise spans geotechnical engineering, landslide analysis, and geospatial technologies. Professor Park has built a distinguished career in landslide hazard assessment, combining traditional geotechnical approaches with modern machine learning techniques to improve prediction accuracy and risk management. His educational background includes: B.S. in Geology from Yonsei University (1990) M.S. in Geophysics from Yonsei University (1993) Ph.D. in Engineering Geology from Purdue University (2011) Professor Park's research focuses on the spatial and temporal probability of landslide occurrence, utilizing fuzzy logic, probabilistic analysis, GIS, Monte Carlo simulation, and machine learning for landslide hazard assessment. His work integrates physically based models with statistical approaches to better understand landslide mechanisms and improve prediction capabilities. He has made significant contributions to the development of methodologies that account for geological uncertainties in hazard assessment, with applications ranging from rock slope stability to rainfall-induced shallow landslides. His recent publications demonstrate a clear trend toward integrating explainable artificial intelligence with traditional geotechnical approaches for natural hazard assessment. Professor Park's work increasingly focuses on making machine learning models transparent and interpretable while maintaining high predictive accuracy. The research spans multiple hazard types including landslides, earthquakes, and floods, with a growing emphasis on climate change impacts and data-scarce environments. With an h-index of 28 and over 3,421 citations, Professor Park has established himself as a leading researcher in his field. His work has been published in high-impact journals including Engineering Geology, Landslides, and Catena, reflecting the significance and quality of his contributions to geotechnical engineering and natural hazard assessment. Professor Park has mentored numerous researchers through collaborative projects and has secured funding for his innovative work in landslide prediction and hazard assessment. His research has involved significant international collaboration, particularly with researchers from Malaysia, Australia, and Yemen, addressing landslide and flood risks in diverse geographical contexts. He leads research activities within the Department of Geoinformation Engineering at Sejong University and has contributed to the development of specialized tools like DEWS (Distance, Elevation, Watershed, and Slope unit) for landslide early warning systems.