Dr. Matt Carter is a Research Fellow at the School of Biology, University of St Andrews, affiliated with the Sea Mammal Research Unit and Scottish Oceans Institute. His research focuses on marine vertebrates' behavior and habitat use, utilizing biologging technologies to track predators and analyze movement strategies. He holds a PhD from the University of Plymouth (2018) and an MSc from the University of Exeter (2014). Research Interests: Behavioral ecology of marine predators, juvenile animal development, anthropogenic impacts on marine ecosystems, and statistical modeling of animal behavior. His current project examines artificial reefs in the North Sea using predators as indicators. Publications highlight trends in tracking marine species (e.g., seals, gannets), habitat modeling, and conservation applications. Key contributions include studies on grey seal ontogeny, ringed seal foraging, and North Sea energy structures' ecological roles. Collaborations span academic and conservation organizations, with activities including peer review for journals like Endangered Species Research and invited talks on seal distribution modeling.
Ivana Schork is a Lecturer in Animal Science at Hartpury University, affiliated with the Department of Animal and Agriculture. She holds a PhD in Animal Behavior and Welfare from the University of Salford, an MSc in Zoology from PUC Minas (Brazil), and a BSc (Hons) in Biological Sciences from UNIVALI (Brazil). Her academic roles include teaching postgraduate and undergraduate modules and supervising student research. PhD, Animal Behaviour and Welfare, University of Salford (2016–2020) MSc, Zoology, PUC Minas, Brazil (2010–2012) BSc (Hons), Biological Sciences, UNIVALI, Brazil (2005–2009) Her research focuses on animal behaviour and welfare, particularly using sleep as a welfare indicator in domestic dogs and captive giraffes. She integrates methodologies such as behavioural assessments, hormonal measurements, bioacoustics, and wearable sensors enhanced by artificial intelligence and deep learning. Her work aims to develop innovative, non-invasive tools for monitoring animal well-being. The recent articles reflect a strong trend in applying AI and wearable technology to assess sleep and resting behaviour in dogs, using physiological and behavioural data. These studies highlight interdisciplinary approaches combining veterinary science, ethology, and machine learning to improve welfare assessment in kennels and shelters. The integration of cortisol analysis and telomere length as stress biomarkers further strengthens the scientific rigor of her research. Animal Welfare Research Network (AWRN) Universities Federation for Animal Welfare (UFAW) Sociedade Brasileira de Etologia (Brazilian Society for Ethology) Dr. Schork actively supervises undergraduate and postgraduate dissertations in animal behaviour, welfare, zoo biology, and canine science. She is accepting PhD students and has been involved in research collaborations with institutions in the UK, Brazil, Austria, and Israel. Her work includes field studies on conservation, population monitoring, and the impact of human activities on wildlife. She has delivered invited talks and contributed to editorial activities, including serving as an editor for the International Journal of Equine Science. Her research is supported by partnerships across international institutions, and she leads projects using AI-driven tools for automated welfare assessment. She is a key contributor to the development of ecoacoustic approaches in farmland management and environmental enrichment strategies for shelter animals.
Janet Mann is a Distinguished University Professor in the Departments of Biology and Psychology at Georgetown University, where she has held academic roles since 1988. She previously served as Vice Provost for Research (2013–2017). Her research focuses on animal behavior, particularly bottlenose dolphins in Shark Bay, Australia, examining social networks, tool use, and cultural transmission. Mann’s work integrates long-term field studies with interdisciplinary approaches, addressing conservation, ecology, and animal cognition. Education: Sc.B. in Psychology from Brown University; M.S. and Ph.D. in Psychobiology from the University of Michigan. She has authored over 130 scientific papers and co-authored influential books like Deep Thinkers and Cetacean Societies , recognized with multiple awards. Research interests include dolphin social learning, calf development, and the impact of human activities on marine mammals. Her team’s Shark Bay Dolphin Research Project tracks over 1,800 dolphins, emphasizing international collaboration. Recent studies extend to the Potomac River and Chesapeake Bay, exploring local dolphin populations and health dynamics. Awards and grants: Fellowships at Stanford’s Center for Advanced Study, National Science Foundation support since 1997, and the Inaugural Fellow of Society for Marine Mammalogy (2021). Her mentoring efforts have been nationally recognized, supporting over 120 students through fieldwork and lab opportunities. Labs/Teams: Leads the Potomac-Chesapeake Dolphin Project and collaborates globally on dolphin conservation. Her lab emphasizes undergraduate and graduate research, integrating fieldwork with analytical methods like network analysis and deep learning.
Dr. Ishi M. Keenum is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU), joining in Fall 2023. Her research focuses on environmental microbiology, particularly antibiotic resistance dissemination in engineered systems, wastewater surveillance, and microbial ecology. She leads the Keenum Research Group, emphasizing data standardization for microbiome research and bioinformatic tool development. Education : PhD, Civil Engineering, Virginia Tech University MS, Environmental Engineering, Virginia Tech University BS, Environmental Engineering, University of Michigan Research Interests : Dr. Keenum’s work addresses antibiotic resistance in agricultural and wastewater systems, pathogen detection, and establishing standards for microbiome data. Her lab develops methods for comparable metagenomic analysis and promotes open-access tools like the ARGem pipeline. Key areas include wastewater-based public health surveillance and disaster-impacted water systems. Publications Overview : Her recent work includes studies on wastewater surveillance standards, antibiotic resistance in full-scale water reuse systems, and the impacts of composting on cattle manure. She has contributed to high-impact journals such as Environmental Science & Technology , Microbiome , and Environmental Microbiology . Labs & Teams : The Keenum Group at MTU combines computational, lab, and field methods to tackle environmental challenges. They prioritize reproducibility and maintain a GitHub repository for open-access tools. The lab also collaborates on international standards through initiatives like the National Microbiome Data Collaborative. Grants & Mentorship : Dr. Keenum emphasizes funding applications and student mentorship. Her group’s policies include weekly lab meetings, rigorous data documentation, and a focus on creating a diverse, inclusive environment. Undergraduates and graduate students are encouraged to pursue NSF fellowships and present at conferences.
Professor Luca Borger is a Chair in Ecology and Biodiversity at Swansea University's School of Biosciences, Geography and Physics. He leads the Centre for Biomathematics and co-chairs the Movement Ecology Special Interest Group of the British Ecological Society. His research focuses on quantifying environmental impacts on biodiversity, integrating mechanistic processes like animal movement and demography into predictive models. Borger teaches ecological data analysis and movement ecology, and他曾是职业音乐家，后转向生态学领域。 **Research & Collaborations:** Borger's work spans movement ecology, behavioral ecology, and conservation, with publications on animal space use, energy-based movement models, and conservation strategies. He collaborates globally, including studies on jaguars, giant anteaters, and river fragmentation impacts. **Grants & Awards:**虽未明确列出奖项，但他的研究获得广泛资助，涉及生物数学、动物行为追踪技术开发等领域。他指导多名博士生研究课题，如红鹿导航、红颈岩袋鼠生态影响等。 **Labs & Teams:** He co-directs the Centre for Biomathematics and works with interdisciplinary teams on projects blending ecology, mathematics, and technology. His lab develops advanced biologging tools and analytical methods for high-resolution movement studies.
Anna Burvall is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Bio-Opto-Nano Physics unit. She holds academic roles such as examiner, course responsible, and teacher for multiple undergraduate and graduate courses, including Electromagnetism and Waves, Optical Design, and Physics of Biomedical Microscopy. Her research focuses on advanced X-ray imaging techniques, including phase-contrast imaging, tomography, and speckle-based methods, with applications in medical diagnostics and materials science. Her work emphasizes quantitative multi-material phase retrieval, noise analysis in imaging systems, and the development of imaging techniques using laboratory sources and liquid-metal-jet X-ray sources. Collaborations span biomedical tumor demarcation, CO₂ microangiography, and high-resolution CT imaging. While no specific awards are listed, her extensive publication record reflects contributions to X-ray physics, optics, and biomedical imaging. Anna has taught courses such as Electromagnetism and Waves (SK1110, SK1115, SK1117) Optical Design (FSK3330) Physics of Biomedical Microscopy (SK2501) Her publications from 2009–2017 highlight advancements in phase-contrast imaging, tomography, and coherent light propagation, often addressing practical challenges in medical and industrial applications. She has contributed to both peer-reviewed journals and conference proceedings, showcasing her role as a researcher advancing imaging methodologies.
Prof. Mariska Kret is a full professor of Cognitive Psychology at Leiden University's Faculty of Social and Behavioural Sciences. She leads the Comparative Psychology and Affective Neuroscience (CoPAN) lab, focusing on emotions in humans and great apes. Her research integrates methods like fMRI, eye-tracking, and virtual reality to study mimicry, trust, and cooperation. Key projects include ERC-funded work on emotional mimicry's role in trust and a VIDI grant examining implications for autism/social anxiety. She supervises numerous PhD students and postdocs, with over 30 active researchers in her lab. Awards include the Ig-Nobel Prize (2022) and ERC grants. Her lab also explores artistic perception in apes and 'Tinder for orangutans' to study mate selection. Education: PhD in Cognitive Neuroscience (Tilburg University, 2011), postdoc at Kyoto University (Japan), and extensive grant-funded projects since 2014. Research spans emotions in clinical populations (e.g., social anxiety, autism) and evolutionary comparisons with primates. CoPAN collaborates globally, including with Apenheul Zoo and Twente University. Open science initiatives include preregistered studies and data sharing on Dataverse.nl. Lab Members: 20+ PhD students/postdocs (e.g., Ruya Akdag, Anouschka van Dijk) Key Grants: ERC Starting (2018), NWO VIDI (2022), Templeton Foundation (2017) Media Engagement: Featured in New York Post, NRC Handelsblad, and science podcasts Her work bridges psychology, neuroscience, and evolutionary biology, emphasizing cross-species comparisons and clinical applications. Ongoing projects include VR-based emotion training tools (ERC Proof of Concept) and investigations into physiological synchrony in social interactions.
José María Gutiérrez Martínez is an Associate Professor in the Department of Computer Science at the University of Alcalá. He is part of the PMI (Intelligent Mobile Platforms) research group, focusing on mobile computing, AI, and educational technology. His work integrates interdisciplinary approaches, including IoT, gamification, and healthcare IT. He holds a Doctorate from the University of Alcalá with a thesis on intelligent agents for internet-based learning systems (2006). His academic contributions span over 50 publications since 2017, addressing challenges in accessibility, mobile applications, and sustainable technologies. Research interests include: 1) Developing accessible mobile applications for diverse users, 2) AI-driven solutions for healthcare and education, 3) Optimizing lighting systems for energy efficiency, and 4) Gamification strategies in university environments. Recent projects include ESCOGPT (AI-powered search tools) and μDevOps (cybersecurity microservices). His work bridges theory and practice through collaborations with industry partners. Ongoing efforts focus on applying machine learning to environmental conservation and improving workplace ergonomics via IoT systems.
Chia-Chu Chiang is a Research Assistant Professor in the Department of Biomedical Engineering at Case School of Engineering, Case Western Reserve University, with an affiliation to the School of Medicine. Their primary research focuses on neural mechanisms underlying epilepsy, particularly exploring non-synaptic seizure generation and propagation through electric field coupling. Current projects include developing novel technologies to control seizures using ephaptic coupling principles and investigating transcranial electric stimulation effects on neurological functions. Research Interests: Neural modulation for seizure control Electric field coupling in neural networks Non-invasive brain stimulation techniques Neurological disorders modeling Recent work emphasizes the role of ephaptic coupling in seizure propagation, with findings published in journals like Experimental Neurology and Epilepsia . Ongoing studies aim to bridge basic neuroscience discoveries with clinical applications, such as improving seizure management through targeted stimulation. Advising and Grants: No specific advising records or grants listed. Collaborations likely focus on interdisciplinary projects combining engineering and neuroscience. Lab Affiliations: Works within the Biomedical Engineering department's research groups, though no specific lab name is mentioned.
David L. Wilson is the Robert J. Herbold Professor of Biomedical Engineering and Radiology at Case Western Reserve University, affiliated with both the Case School of Engineering and the School of Medicine. He is a member of the Cancer Imaging Program at the Case Comprehensive Cancer Center. His research focuses on biomedical image analysis, particularly in disease quantification and visualization using tools like image registration, segmentation, and machine learning. He developed the cryo-imaging system and 3D-MUSE technology for high-resolution anatomical and molecular imaging of tissues. His clinical work includes cardiovascular image analysis of OCT and CT. He has over 185 peer-reviewed publications, numerous grants, and founded BioInVision, Inc., commercializing cryo-imaging technologies. Education: PhD in Electrical Engineering from Rice University (1990), MS in Biomedical Engineering from Penn State University, and BS in Physics from West Virginia University. Research interests include image-guided therapies, stem cell tracking, and cardiovascular imaging. His lab employs advanced computing and collaborates with the Case Center for Imaging Research. He serves on editorial boards, NIH study sections, and conference committees. Awards include being elected a Senior Member of the National Academy of Inventors (2024). He has advised numerous graduate and undergraduate students, emphasizing interdisciplinary training through the NIH T32 grant in Biomedical Imaging. Labs/Teams: Leads the Biomedical Imaging Laboratory (BMIL), focusing on cryo-imaging, OCT analysis, and AI-driven cardiovascular risk prediction. Collaborates on projects involving stem cell biodistribution and histopathology.
Maarten Zwart is a Reader in Neuroscience at the School of Psychology and Neuroscience, University of St Andrews, United Kingdom. He leads an active research lab focused on understanding how the brain produces behavior, particularly through the study of motor control and locomotion in model organisms such as zebrafish, Drosophila, and Tribolium larvae. He is accepting postgraduate research students and has secured funding from major institutions including the BBSRC, The Royal Society of Edinburgh, and The Wellcome Trust. His research integrates imaging, electrophysiology, connectomics, and custom-built microscopy to explore neural circuits and sensorimotor integration. His lab emphasizes interdisciplinary collaboration, welcoming researchers from neuroscience, engineering, physics, and computer science backgrounds. His recent publications span topics such as metachronal wave coordination in Drosophila, deep learning tools for behavior analysis (PoseR), and neural mechanisms of self-localization. His work frequently appears in high-impact journals like Cell , eLife , and Nature Communications , reflecting a strong trajectory in systems and behavioral neuroscience. Research trends indicate a focus on circuit-level analysis of locomotion, neural plasticity, and the development of open-source tools for behavioral quantification. His work bridges molecular, cellular, and systems neuroscience with computational approaches. He mentors a diverse team of students and researchers, including PhD candidates and postdoctoral associates, and has contributed to collaborative projects involving connectomics and neural imaging. His lab is also involved in public engagement and open science through shared datasets and software tools. Grants and Projects: Motor control in the Drosophila larva (BBSRC, 2022–2026) Ultrafast imaging of neural control of movements (Royal Society of Edinburgh, 2021–2022) ISSF Equipment and Studentship grants (Wellcome Trust, 2019–2023) Co-investigator on BBSRC iCASE PhD studentship Notable Datasets and Tools: Creator of datasets on larval behavior in Tribolium and zebrafish Contributor to CATMAID, a collaborative annotation toolkit for connectomics Co-developer of PoseR, a deep learning toolbox for animal pose estimation
Phil Hammond is a Professor (Research) in the School of Biology at the University of St Andrews, Scotland. He is affiliated with several key research units including the Sea Mammal Research Unit (SMRU), the Scottish Oceans Institute (SOI), the Centre for Research into Ecological & Environmental Modelling (CREEM), and the Marine Alliance for Science & Technology Scotland (MASTS). His work spans marine mammal ecology, population dynamics, and conservation science. B.A., University of York D.Phil., University of York His research focuses on the foraging behaviour and diet of seals and cetaceans, statistical and mathematical modelling of marine mammal populations, and estimating animal abundance. He investigates human impacts on marine mammals, including whaling, fisheries bycatch, and seal-fishery interactions, contributing directly to the conservation of vulnerable species. His expertise aligns with UN Sustainable Development Goals related to life below water and climate action. The most recent articles highlight advanced methodologies such as spatial capture-recapture, acoustic monitoring via signature whistles, and long-term trend analysis in cetacean populations across regions like the North Atlantic, Gulf of California, and Black Sea. These works reflect a strong emphasis on conservation-oriented ecological modelling, climate change impacts, and innovative survey techniques. Associate Editor, Marine Mammal Science (2011–present) Member, Red List Authority, IUCN (2006–present) Member, Working Group on Marine Mammal Ecology, ICES (2005–present) Member, Cetacean Specialist Group, IUCN (1998–present) Chair, Scientific Committee, International Whaling Commission (1992–1993) Member, Scientific Committee, International Whaling Commission (1981–2013) Hammond has led major research projects funded by NERC, the European Commission (Marie Curie Fellowship), and the UK Department for Environment, Food and Rural Affairs. He has supervised postgraduate research and contributed to national and international policy through advisory roles. He has organized training workshops on abundance estimation and served on multiple scientific committees and peer review panels. He is actively involved in collaborative research networks and has contributed to open-access datasets on marine mammal abundance, killer whale dynamics, and environmental change impacts. His leadership in projects like EcoSTAR and Monitoring Marine Mammals from Autonomous Underwater Vehicles underscores his commitment to integrating technology and ecology for marine conservation.
Jesper Nørlem Kamp is a Tenure Track researcher at Aarhus University, affiliated with the Department of Bio- and Chemical Technology within AU Engineering. His primary focus lies in environmental engineering, particularly the quantification and mitigation of ammonia and greenhouse gas emissions from agricultural sources such as animal slurry and broiler litter. Institution: Aarhus University School: AU Engineering Department: Department of Bio- and Chemical Technology Position: Assistant Professor (Tenure Track) Email: jk@bce.au.dk His research centers on environmental emissions from agricultural systems, with a strong emphasis on measurement techniques like micrometeorological methods, flux chambers, and inverse dispersion modeling. He is actively involved in refining emission models such as ALFAM2 and evaluating mitigation strategies including slurry injection, covering of manure, and urease inhibitors. His work bridges experimental field studies with model-based analysis to improve emission inventories and support climate-smart farming practices. The recent publications indicate a consistent focus on atmospheric measurement techniques, agricultural meteorology, and waste management. Key themes include the validation of emission measurement methods, the impact of slurry treatment and application techniques, and the development of tools for regulatory and policy support. The research spans both technical innovation and practical application in real-world farming systems. Currently, he is contributing to the GHG-Græs project (2024–2027), which aims to quantify greenhouse gas emissions from grazing dairy cows and associated land areas, reflecting his ongoing commitment to sustainable agriculture and climate impact reduction. While no scientific awards are listed in the provided text, his collaborative work with experts like Anders Feilberg and participation in high-impact journals such as Atmospheric Environment and Agricultural and Forest Meteorology underscores his active role in the environmental science community. Jesper Nørlem Kamp advises no listed students in the provided data. However, his involvement in major research projects suggests potential mentorship roles. He is engaged in externally funded research, particularly through the GHG-Græs project, which likely involves grant support, though specific grant names are not disclosed. His work contributes to both national and EU-level environmental regulations, especially concerning industrial emissions directives. He is part of a research team focused on environmental emissions at Aarhus University, working within the Environmental Engineering section. This team conducts field experiments, develops models, and supports policy-making related to agricultural air quality and climate change mitigation. The group likely operates advanced measurement setups including micrometeorological towers, flux chambers, and analytical instrumentation for gas analysis.
Associate Professor David James Heslop is affiliated with UNSW Sydney , specifically the School of Population Health . He is a dual-qualified General Practitioner (FRACGP) and Occupational & Environmental Physician (FAFOEM) , with over 15 years of military service as Senior Medical Adviser for CBRNE to the Australian Army and ADF leadership. Education : PhD and MPH from University of Sydney, MBBS, BSc (Hons 1) His research focuses on health systems innovation using computational modeling and simulation to address complex challenges in epidemic response, disaster preparedness, CBRNE medicine, and organizational resilience . He employs hybrid modeling (agent-based, discrete event, system dynamics), artificial intelligence , and epidemiological methods to investigate public health interventions and socio-technical systems. Recent publications highlight his expertise in infectious disease modeling , CBRNE risk management , and AI applications in public health , with work spanning epidemic simulations , toxin exposure analysis , and emergency response frameworks . Grants include MRFF Frontiers Grant for EPIWATCH and NHMRC CRE funding for BREATHE and ISER projects. He supervises PhD candidates in public health, bioterrorism, and emergency medicine, while teaching PHCM9662 Health Aspects of Crises and PHCM9789 Bioterrorism and Health Intelligence at UNSW. His work intersects defence policy , climate-driven CBRNE proliferation , and urban emergency response systems .
Changying "Charlie" Li, Ph.D. is an Adjunct Professor at the University of Florida's School of Environmental, Civil, Agricultural & Mechanical Engineering with a cross-appointment at the University of Georgia. His research focuses on developing advanced robotic systems and sensing technologies for agricultural phenotyping, including autonomous robots for crop analysis and non-destructive fruit quality assessment. Notable projects include the Berry Impact Recording Device (BIRD) for optimizing fruit handling and a multi-robot system integrating ground rovers and drones for high-throughput plant data collection. Dr. Li's work spans 3D plant architecture reconstruction, machine learning-driven crop yield estimation, and smart agricultural automation. His innovations aim to enhance food security through precision agriculture techniques, leveraging computer vision, deep learning, and robotics.
