Find Academic Supervisors

• Avian Ecology and Management
• Terrestrial and Aquatic Invertebrate Ecology
• Wetland Ecology and Assessment
• +6 more

Craig Davis is a Professor and holds the Bollenbach Chair in Wildlife Management at Oklahoma State University's Department of Natural Resource Ecology & Management. He has been a faculty member since 2001, advancing from Assistant Professor (2001-2007) to Associate Professor (2007-2012), and has served as Bollenbach Chair since 2014. Davis earned his PhD in Wildlife Science from Texas Tech University (1996), an MS from Iowa State University (1991), and a BS from Ohio State University (1988). He is also a Certified Wildlife Biologist through The Wildlife Society. His research focuses on avian ecology, wetland restoration, and gamebird management, with specific interests in fire-grazing interactions, invertebrate communities, and climate change impacts on ecosystems. Key areas include grassland bird survival, wetland classification systems, and the effects of anthropogenic development on wildlife habitats. Davis actively collaborates with conservation organizations and agencies, addressing challenges like invasive species management and water infrastructure resilience. Teaching responsibilities include undergraduate courses on Wildlife Management Techniques and Wetland Ecology, as well as graduate courses like Advanced Wetland Ecology. His grants emphasize wetland restoration outreach, climate adaptation strategies, and studies on northern bobwhite and wild turkey populations. Notable projects include evaluating cellular transmission technology in wildlife monitoring and assessing the impact of extreme weather on gamebird survival. Grants (Selected): Expansion of potential wetland restoration opportunities in Oklahoma (2024-2027) Linking Research and Stakeholder Engagement for Wetland Conservation (2024-2026) Effects of Extreme Weather and Hunting on Northern Bobwhite (2023-2025) Research Themes: Aligns with UN Sustainable Development Goals 15 (Life on Land), 13 (Climate Action), 6 (Clean Water), 11 (Sustainable Cities), 14 (Life Below Water), and 9 (Industry/Infrastructure).

Claudio SilleroView profile

Professor

• Conservation Biology
• Wildlife Disease Ecology
• Carnivore Conservation
• +3 more

Claudio Sillero is a Professor of Conservation Biology at the University of Oxford and Section Head of Ecology & Conservation at the Wildlife Conservation Research Unit (WildCRU). He leads global efforts to conserve endangered species, particularly the Ethiopian wolf, and chairs the IUCN Canid Specialist Group. His work integrates behavioral ecology, disease mitigation, and transfrontier conservation strategies. Since joining WildCRU in 1988, he has pioneered research linking fundamental biology to practical conservation solutions. As founder and director of the Ethiopian Wolf Conservation Programme (EWCP), he focuses on safeguarding Afroalpine ecosystems through vaccination campaigns and habitat protection. His IUCN role oversees conservation strategies for all canid species worldwide. Research interests include carnivore behavioral ecology, human-wildlife conflict mitigation, and the role of networks in conservation. Notable projects include resolving taxonomic ambiguities in wolf lineages and developing low-cost wildlife tracking technologies. His work emphasizes interdisciplinary approaches, combining ecological data with socio-political analysis to address conservation challenges. Key roles: Professor at University of Oxford, WildCRU Section Head, EWCP Director, IUCN Canid Specialist Group Chair Primary research sites: Ethiopian highlands, South American forests, African savannahs Key collaborations: Panthera, African Wild Dog Conservancy, local communities in Ethiopia and Bolivia Students and staff under his mentorship include Claire Marr (jaguar conservation), Dr. Sandra Lai (postdoctoral research on Ethiopian wolves), and Emily Madsen (conservation genetics). His work has led to breakthroughs in understanding canid disease dynamics and carnivore spatial ecology.

Gabriel BrostowView profile

Professor

• Computer Vision
• Human-Computer Interaction
• Human-Centered AI
• +6 more

Professor Gabriel Brostow is a faculty member in the Department of Computer Science at University College London (UCL), where he leads research in Computer Vision and Human-Computer Interaction. He also serves as Chief Research Scientist and Senior Director of the R&D Team at Niantic, the company behind Pokémon GO. His work bridges academic research and industry applications, focusing on developing AI systems that enhance human capabilities through what he terms 'Human in the Loop AI'—now commonly referred to as Human-Centered AI. Brostow completed his BS in Electrical Engineering at UT Austin, followed by a PhD with Irfan Essa at Georgia Tech. He then pursued postdoctoral research with Roberto Cipolla's Computer Vision & Robotics Group at Cambridge University as a Marshall Sherfield Fellow, and with Marc Pollefeys in ETH Zurich's CVG Group. His research explores how AI, particularly Computer Vision, can serve as 'super-tools' for professionals across various domains including filmmaking, architecture, robotics, and scientific research. Specific interests include assistive technology for everyday life, authoring systems that maximize user effort, 3D reconstruction, depth estimation, and vision-language models. His work often involves creating systems that are validated through real-world human interaction to ensure practical utility. Analysis of his recent publications reveals a strong focus on practical applications of Computer Vision that directly interact with humans. His research spans 3D scene understanding, depth estimation, sketch-based interfaces, and multimodal AI systems. There's a clear emphasis on creating benchmarks and tools that facilitate human-AI collaboration, with applications in assistive technology, urban planning, filmmaking, and biodiversity monitoring. His work frequently appears at top conferences including CVPR, NeurIPS, ECCV, and CHI. Marshall Sherfield Fellowship Brostow actively mentors PhD students, with current advisees including Ross Murphy, Skanda Koppula, Gizem Unlu, Omiros Pantazis, and Jamie Watson. His alumni include numerous PhD graduates and MSc students who have gone on to successful careers in academia and industry. He emphasizes selecting students based on passion and potential rather than just academic credentials, valuing traits like helpfulness, drive, and hunger to learn. His research is supported through collaborations with major institutions and companies including DeepMind, MIT, and the University of Edinburgh. He leads a research group at UCL that collaborates closely with Niantic's R&D team, creating a unique bridge between academic research and industry application. His team's work frequently involves developing novel Computer Vision techniques that are validated through real-world human interaction, ensuring practical utility alongside technical innovation. The group explores blue-sky research problems with applications ranging from assistive technology to professional tools for filmmakers, architects, and scientists studying diverse environments.

Marina von KeyserlingkView profile

Professor

• Animal Welfare Science
• Dairy Cattle Welfare
• Farm Animal Behavior
• +3 more

Marina von Keyserlingk is a Professor in Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia (UBC). She serves as Director of the UBC Dairy Education and Research Centre and leads the renowned UBC Animal Welfare Program, one of the largest and most respected animal welfare science programs globally. Her work has significantly influenced dairy farming practices worldwide, particularly in the areas of dairy cow and calf welfare. Dr. von Keyserlingk's research focuses on animal behavior, housing, and management practices and how these contribute to the health and welfare of dairy cattle. Her work spans multiple dimensions of animal welfare science, including: Dairy cattle behavior and cognition Cow-calf separation practices Pain assessment and management in farm animals Public perceptions of farm animal welfare Alternative dairy farming systems Welfare assessment methodologies Her most recent research examines pain responses in calves, lameness assessment techniques, effects of environmental enrichment on calf cognition, and public attitudes toward dairy farming practices. This work demonstrates a strong trend toward integrating scientific assessment of animal welfare with public values and perceptions, recognizing that sustainable animal agriculture must address both scientific and societal concerns. Dr. von Keyserlingk has received numerous prestigious awards for her contributions to dairy science and animal welfare: Elanco Award for Excellence in Dairy Science (2013) Metacam Bovine Welfare Award (2013) Canadian Animal Industries Award in Extension & Public Service (2012) 26th Annual World Buiatrics Congress Keynote Speaker (2010) She has supervised numerous graduate students, including Dr. Lexis Ly who recently completed her PhD in 2025. Dr. von Keyserlingk also teaches undergraduate courses including "Animals and Society" and "Research Methods in Applied Animal Biology." Her research program has secured significant funding that supports multiple postdoctoral fellows, graduate students, and research staff working within the UBC Animal Welfare Program. The UBC Animal Welfare Program, which she helps lead, is currently recruiting PhD students interested in improving the lives of dairy cattle and the people who care for them. The program continues to be at the forefront of animal welfare science, conducting research that has practical applications for improving animal care worldwide.

Deepak GanesanView profile

Professor

• Networking and Distributed Systems
• Mobile and Sensor Systems
• Human-Computer Interactions
• +3 more

Deepak Ganesan is a Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. His research focuses on low-power sensing and communication, networked systems, and machine learning applied to pervasive health monitoring and societal challenges. PhD, Computer Science, University of California, Los Angeles (2004) MS, Computer Science, University of California, Los Angeles (2000) BTech, Computer Science, Indian Institute of Technology, Madras (1998) Ganesan's work bridges wireless sensor networks, smart textiles, and healthcare applications. He designs ultra-low-power wearable devices for tracking health signals like drug use, smoking, and cognitive performance, often integrating machine learning for robust detection. His research emphasizes societal impact, particularly in aging and Alzheimer's care through the Massachusetts AI and Technology Center for Connected Care (MassAITC) and the Center for Personalized Health Monitoring (CPHM). Recent publications highlight innovations in edge-cloud collaboration, fabric-based sensors, and longitudinal health analytics. His NIH-funded MD2K Center for Excellence and affiliations with the Center for Data Science and Computational Social Science Institute further underscore his interdisciplinary approach. ACM Fellow NSF CAREER Award (2006) IBM Faculty Award (2008) UMass Junior Faculty Fellow (2008) UMass Lilly Teaching Fellow (2009) Best Paper at CHI 2013 Best Paper Runner-up at Mobicom 2014 Honorable Mentions at Ubicomp 2013 Ganesan leads the SENSORS: Wireless Sensor Networks Group and contributes to global initiatives like the Internet of Battlefield Things. His work spans academic research, industry partnerships, and policy development in AgeTech and digital health.

Katrine EldegardView profile

Professor

• Conservation Biology
• Behavioural Ecology
• Population Ecology
• +7 more

Katrine Eldegard is a Professor at the Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management (MINA), Department of Ecology and Natural Resource Management (INA). She leads BatLab Norway and contributes extensively to national and international conservation science policy. Institution: Norwegian University of Life Sciences School: Faculty of Environmental Sciences and Natural Resource Management Department: Department of Ecology and Natural Resource Management Position: Professor Her research centers on understanding how human activities and land use affect natural ecosystems and species across taxa and spatial scales. She specializes in the behavioral, population, and community-level responses of mammals, birds, and insects to anthropogenic pressures such as energy infrastructure, transport networks, and forestry. A major focus is on bat ecology and conservation, pollination dynamics, and biodiversity monitoring in boreal and agricultural landscapes. Her recent publications reveal strong trends in climate change impacts on bat morphology and distribution, pollinator-plant interactions under environmental change, and the ecological consequences of infrastructure development. These works integrate field ecology with advanced modeling and policy-relevant assessments. She has played leading roles in key scientific committees: Chair, Mammal Committee, Norwegian Red List for Species (2021) Chair, Mammal Committee, Norwegian Alien Species List (2023) Member, Norwegian Scientific Committee for Food and Environment (VKM), CITES Expert Panel Norway’s representative, UNEP/Eurobats Advisory Committee Eldegard has supervised numerous research projects and collaborated with government agencies and private partners on applied ecology. She teaches courses including NATF200 Vern og forvaltning av norsk natur and the upcoming NATF300 Conservation Science. Her work is supported by extensive fieldwork, interdisciplinary collaboration, and integration of ecological theory with practical conservation. She leads BatLab Norway, a research group dedicated to advancing knowledge on bat ecology, behavior, and conservation through innovative methods including telemetry, acoustic monitoring, and landscape analysis.

David MacdonaldView profile

Professor

• Wildlife Conservation
• Behavioral Ecology
• Environmental Economics
• +4 more

Professor David Macdonald CBE, FRSE is a leading academic in wildlife conservation, currently serving as the Professor of Wildlife Conservation at the University of Oxford and founding director of the Wildlife Conservation Research Unit (WildCRU). He holds a visiting professorship at Imperial College and chairs key committees including the Darwin Advisory Committee and Natural England’s Science Advisory Committee. His research integrates behavioral ecology with interdisciplinary approaches, addressing human-wildlife conflict through ecological, economic, and social science lenses. Notable areas include carnivore conservation (e.g., lions, tigers, and Ethiopian wolves) and the impacts of resource distribution on social structures. Awards include the CBE and FRSE. His work emphasizes policy-relevant science, leveraging long-term datasets and innovative tools like CARACAL acoustic monitoring. He advises on global conservation strategies, including responses to illegal wildlife trade and habitat loss. Education details are not explicitly stated, but his academic trajectory reflects advanced training in biological sciences. Research interests span from felid behavior to the socio-economic dimensions of conservation. Key collaborators include Earthwatch and the Wildfowl and Wetlands Trust. Students include Adjany Costa (Graduate Student). His contributions extend to policy via roles in advisory boards and advocacy for evidence-based conservation.

Andrew CarterView profile

Researcher

• Wildlife Conservation
• Endangered Species
• Population Ecology
• +7 more

Andrew Carter is a researcher at Charles Sturt University, actively contributing to wildlife conservation and ecological research. His work is centered on population ecology, biodiversity monitoring, and the management of invasive species, particularly in arid and semi-arid Australian landscapes. His research focuses on the conservation of endangered species through innovative monitoring techniques such as camera-trapping and spatial analysis. Key themes include the behavior and management of invasive predators like the European red fox and feral cat, as well as the long-term success of reintroducing threatened mammals into predator-free fenced reserves. The recent publications reflect a strong trend in large-scale ecological synthesis, predator ecology, and practical conservation interventions. His work integrates field data with technological tools to inform management strategies and policy. Andrew collaborates widely across Australian ecological research networks, contributing to major multi-author studies on continental-scale wildlife monitoring. His research has significant implications for conservation practice, particularly in quantifying the effectiveness of eradication programs and habitat restoration.

• Mammal Taxonomy
• Evolutionary Biology
• Conservation Ecology
• +3 more

Andrew M. Baker is an Associate Professor in the School of Biology & Environmental Science at Queensland University of Technology (QUT). He holds a Ph.D. in Evolutionary Biology from QUT and specializes in mammal taxonomy, conservation, and evolutionary ecology, with a focus on carnivorous marsupials. His research addresses threats to biodiversity from land-use changes, invasive species, and climate change. He leads the Baker Lab, investigating species like the Julia Creek Dunnart and Antechinus spp., using innovative methods such as barn owl pellet analysis and environmental DNA (eDNA) for detection. Current grants include a $1.1M project on the Julia Creek Dunnart and a $300K ABRS scholarship for Planigale taxonomy. He is a member of the Australian Mammal Society and the Genetics Society of Australia. His research spans taxonomy, ecology, evolution, and conservation, with over 100 publications. Recent work includes describing new species (e.g., Antechinus vandycki) and refining conservation strategies for threatened mammals. He collaborates internationally on projects like the IUCN Red List assessments for Antechinus species.

Kim BjergeView profile

Associate Professor

• Computer Vision
• Deep Learning
• Machine Learning
• +4 more

Kim Bjerge serves as Associate Professor and Group Leader in Aarhus University's Department of Electrical and Computer Engineering, specializing in computer vision and machine learning applications for ecological monitoring. His research bridges engineering and environmental science to develop innovative solutions for insect biodiversity assessment and sustainable agriculture. His core research interests include computer vision, deep learning, and edge computing systems for real-world ecological monitoring. Dr. Bjerge develops time-lapse camera pipelines and deep learning models specifically for insect population tracking in natural environments, with emphasis on agricultural applications like black soldier fly farming and biodiversity conservation. His work integrates signal processing techniques with biological data to create field-deployable monitoring systems. Recent publications reveal a strong trend toward practical implementations of computer vision in entomology, particularly focusing on edge processing for camera traps, automated trait prediction in insect farming, and biodiversity monitoring systems. Key research areas include nocturnal insect monitoring, floral environment analysis, and developing specialized datasets like AMI for insect identification in wild settings. He leads multiple significant research projects funded through competitive grants: MAMBO: Modern Approaches to Monitoring Biodiversity (2022-2026) FLYgene: Sustainable Insect Production for Livestock Feed (2022-2026) Automatisk monitering af nataktive insekter: Automatic nocturnal insect monitoring (2024-2029) Pilotprojekt for automatisk registrering af invasive plantearter: Invasive species monitoring (2020-2021) As head of the Signal Processing and Machine Learning research group, Dr. Bjerge directs interdisciplinary teams developing computer vision solutions for biological monitoring systems. His laboratory focuses on creating robust field-deployable technologies including scanner-based arthropod imaging systems, time-lapse camera networks for floral environments, and edge AI processors for real-time insect monitoring in agricultural settings.

Frances StewartView profile

Assistant Professor

• Wildlife Biology
• Conservation and Management
• Ecological Forecasting
• +3 more

Frances Stewart is an Assistant Professor and Canada Research Chair in Northern Wildlife Biology at Wilfrid Laurier University's Faculty of Science, Department of Biology. She leads the WILDlab research group focusing on applied wildlife biology in northern regions through field projects, modeling, and community collaboration. She holds a PhD in Environmental Studies from the University of Victoria, and BScH and MSc degrees in Ecology from the University of Guelph. Her research specializes in quantifying wildlife responses to landscape changes using camera trapping, ecological forecasting, and spatial modeling. Current projects investigate species co-occurrence, habitat selection, and biodiversity conservation in Canada's rapidly changing northern ecosystems, with emphasis on integrating Indigenous knowledge. Publications (2019-2024) demonstrate strong focus on wildlife conservation, climate change impacts, and ecological modeling. Dominant themes include boreal caribou conservation, landscape connectivity, anthropogenic disturbance effects, and predictive ecology frameworks. Methodologically, her work combines field data with advanced statistical approaches to inform conservation decisions. Awards and Honors: Canada Research Chair in Northern Wildlife Biology Wilburforce Leader in Conservation Science Canadian Society of Ecology and Evolution Conference Presentation Award (2018) Advising and Grants: Supervises 2 postdoctoral fellows, 3 PhD candidates, and 4 MSc students Secured funding from NSERC, Weston Foundation, POLAR, and MITACS Emphasizes professional development through conference attendance and publication support Lab and Team: Leads the WILDlab (Wildlife Integration for Land use Decisions Lab) with active field projects across northern Canada. The team collaborates with government agencies (Natural Resources Canada), Indigenous communities, and international researchers to address wildlife management challenges in changing northern ecosystems.

• Remote Sensing
• Geographic Information Systems (GIS)
• Environmental Monitoring
• +7 more

Giorgos Mountrakis is a Professor in the Department of Environmental Resources Engineering at SUNY College of Environmental Science and Forestry (ESF). His research focuses on environmental monitoring using remote sensing, environmental modeling through geographic methods, and decision support systems for ecological and urban challenges. He holds a Dipl. Eng. from the National Technical University of Athens (1998), an M.S. (2000), and Ph.D. (2004) from the University of Maine. His work integrates advanced technologies like satellite imagery, LiDAR, and machine learning to address land cover dynamics, climate impacts, and wildlife conservation. Current advisees include Atef Amriche (PhD candidate in Geospatial Information Science), Babak Haji Seyed asadollah (PhD in Environmental Resources Engineering), Ahmadreza Safaeinia (PhD in Environmental Resources Engineering), and Zhixin Wang (PhD in Geospatial Information Science). Key research themes include: land use/cover classification using deep neural networks, climate change impacts on forests and rangelands, and optimizing spatial-temporal models for large-scale environmental analysis. His projects span global datasets (e.g., Landsat, MODIS) and regional case studies in the US, Mongolia, and Algeria. Publications emphasize methodological advancements in remote sensing, such as fusion of multisensor data, accuracy assessment frameworks, and applications in biodiversity conservation. His work bridges technical innovation with practical environmental decision-making, addressing issues like urban growth prediction and wildlife-vehicle collision mitigation.

Angela FullerView profile

Professor

• Spatial Ecology
• Wildlife Conservation
• Decision Science
• +5 more

Angela Fuller is a Professor at Cornell University’s College of Agriculture and Life Sciences (CALS), leading the New York Cooperative Fish and Wildlife Research Unit. She holds a courtesy appointment in the Department of Natural Resources and the Environment. Her research integrates spatial ecology and decision science to address wildlife conservation and management challenges. Fuller earned her Bachelor’s, Master’s, and Doctorate from the University of Maine system, reflecting her deep roots in ecological research. Her work focuses on spatial patterns influencing wildlife populations, structured decision-making (SDM), and adaptive management. Key projects include studying human-wildlife coexistence, carnivore ecology, and invasive species detection. She teaches NTRES 4601/6601 Decision Making in Natural Resource Management , emphasizing practical applications of decision frameworks. Recent achievements include the 2020 Cooperative Research Units Leadership Excellence Award and Fellow status in The Wildlife Society (2017). Her lab, the Fuller Spatial Ecology and Decision Science Lab, collaborates on innovative projects such as leveraging canine surveillance for spotted lanternfly detection and analyzing avian influenza in bobcats. Notable publications span topics like spatial capture-recapture modeling and SDM for wildlife harvest decisions. Fuller’s contributions extend to interdisciplinary solutions, bridging ecological and social sciences for sustainable resource management. Her lab actively engages in outreach, including media features on emerging wildlife health issues and conservation strategies.

• Mammal Conservation
• Human-Wildlife Interaction
• Wildlife Rehabilitation
• +7 more

Dr Lucy Bearman-Brown is a Senior Lecturer in Zoology and Programme Manager for the BSc Zoology degree at Hartpury University, within the Department of Animal and Agriculture. She holds a PhD in Mammal Ecology from the University of Reading (awarded 2020), an MRes in Biodiversity and Conservation from the University of Leeds (2008), and a BSc in Animal Sciences from Nottingham Trent University (2003). She has been teaching at Hartpury since 2010 and is a PGCHE-qualified educator. BSc Animal Sciences – Nottingham Trent University (2003) MRes Biodiversity and Conservation – University of Leeds (2008) PhD Mammal Ecology – University of Reading (2020) PGCHE – University of the West of England (2012) Her research centers on mammal conservation, particularly human-wildlife interactions and the survival of European hedgehogs in anthropogenic environments. She investigates hedgehog rehabilitation, survey methodologies (including camera traps and detection dogs), and the ethical implications of wildlife monitoring. She also explores the mental health of wildlife rehabilitators and the role of nature in children's education. Her recent publications and projects show a strong focus on hedgehog conservation, including national strategy development, rehabilitation data analysis, and innovative detection techniques. She leads the 'Hedgehog Friendly Campus' initiative and has secured funding from the British Hedgehog Preservation Society and the People's Trust for Endangered Species. Most Supportive Tutor Award (2020) She supervises undergraduate and postgraduate research and collaborates with organizations such as Bristol Zoo Project, Field Studies Council, and South African wildlife reserves. She is an active member of the British Wildlife Rehabilitation Council and previously served as External Examiner at the University of Brighton. Her public engagement includes appearances on BBC Countryfile, The One Show, and contributions to BBC Wildlife magazine.

Naeem AyoubView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Robotics
• +12 more

Naeem Ayoub is an Assistant Professor in the Department of Technology and Innovation at the University of Southern Denmark (SDU), affiliated with SDU Technology Entrepreneurship and Innovation. His research bridges computer science and engineering, focusing on intelligent systems and automation. Research Interests: His work spans machine learning, computer vision, robotics, and cyber-physical systems. He explores applications in autonomous drones, digital twins, power line inspection, and environmental monitoring. His research emphasizes real-time decision-making, energy efficiency, and anomaly detection in complex systems. The recent publications highlight a strong trend in deploying AI-driven robotics for industrial and environmental applications, particularly in infrastructure inspection and predictive maintenance. His work integrates neural networks, sensor networks, and autonomous navigation to solve practical engineering challenges. Scientific Contributions: Active contributor to 19 research outputs including journals and conference proceedings. Creator of an open-source dataset for pylon component and fault detection using machine learning. Involved in interdisciplinary collaborations across engineering, environmental science, and computer science. Advising and Grants: While no formal students are listed, he has participated in academic supervision as a censor in internal examinations. His projects suggest involvement in research grants related to autonomous systems and industrial digitalization, though specific funding details are not provided. Labs and Teams: He collaborates within research teams focused on robotics and intelligent systems at SDU, particularly in drone technology and cyber-physical systems. His work involves close collaboration with researchers in environmental monitoring, power systems, and industrial automation.