Rehema White is a Senior Lecturer at the University of St Andrews' School of Geography & Sustainable Development, actively contributing to research on sustainable development, biodiversity conflicts, and biosecurity. Her work bridges natural and social sciences through interdisciplinary knowledge production and exchange. Education: University of Aberdeen (Agriculture) University of Manitoba (MSc in Animal Science) Australian National University (PhD in Endocrinology & Reproductive Ecology) Rhodes University (Postdoctoral Fellowship) Her research focuses on integrating biodiversity conservation with development goals, multi-level natural resource governance, and sustainability in practice (e.g., golf, tree health). Recent projects include SCALE and BRIGIT , addressing sustainable forest management and plant biosecurity. Scientific Awards: No specific awards mentioned in the text. She coordinates interdisciplinary research groups and has led 12 projects funded by entities like the Scottish Funding Council and European Commission, emphasizing community-scale sustainability solutions and UN SDGs. Her team collaborates with academics, practitioners, and policymakers to address climate change, ecological transitions, and sustainable livelihoods across Scotland, Latin America, and sub-Saharan Africa.
Josephine Godwyll is an Assistant Professor at the Faculty of Kinesiology, Sports and Recreation , University of Alberta , leading the Justice in Environments of Leisure Lab (JELL) . Her research connects United Nations Sustainable Development Goals (SDGs) with equity in recreation access through geospatial science and environmental justice frameworks. She focuses on overcoming barriers in physical spaces (parks, stadiums) and digital environments (video games), emphasizing SDG 10 (Reduced Inequalities), SDG 11 (Sustainable Cities), SDG 13 (Climate Action), and SDG 16 (Peace and Justice). Her work addresses recreation access challenges for marginalized groups, including low-income populations, people with disabilities, and BIPOC communities. Key projects include the "Colour in Green" urban tree-planting initiative with Edmonton's Open Spaces Directorate and partnerships with newcomer agencies like Action for Healthy Communities . She developed a spatial justice framework for recreation accessibility, influencing the "Greener As We Grow" initiative to plant two million trees. Josephine investigates connections between Indigenous leisure practices and climate resilience, advocating for non-Western approaches to environmental adaptation. Her research spans spatial justice, inclusive urban planning, and digital recreation equity, with a focus on community collaboration and policy reform. Her article trends show persistent exploration of spatial justice, environmental equity, and recreation access through geospatial methodologies, community-based research, and SDG-aligned policy analysis. Josephine's collaborations include the National Intramural and Recreational Sports Association and Steadward Centre , advancing recreation access for vulnerable students. She is driven by personal immigrant experiences to transform leisure from a privilege to a universal right.
Musa Mammadov is a Senior Lecturer in Data Science at Deakin University's School of Information Technology, part of the Faculty of Science Engineering and Built Environment. His research focuses on data science, machine learning, and computational mathematics with applications in environmental modeling, healthcare analytics, and financial systems. Education: Doctor of Philosophy from University of Ballarat Research Interests: Specializing in numerical and computational mathematics, Mammadov develops advanced machine learning techniques for complex classification problems while exploring optimization methods in mathematical economics. His work spans environmental modeling applications in Sri Lanka's Kalu River Basin, healthcare fraud detection algorithms, and financial market analysis. Scientific Contributions: The recent publications highlight his work in hydrological forecasting using deep learning architectures, anomaly detection in medical billing systems, and probabilistic modeling of financial indices. His methodological contributions include improving Bayesian network classifiers and developing novel dependency estimation techniques. Academic Roles: Mammadov serves as editorial board member for Optimization Letters and Annals of Data Science . He supervises doctoral students in data science projects including health provider billing analysis and satellite downlink scheduling optimization.
Paul Catanzaro serves as Professor & State Extension Forester at the University of Massachusetts Amherst, Department of Environmental Conservation, and Co-Director of the Family Forest Research Center, a collaborative effort between the USDA Forest Service, Northern Research Station and UMass Amherst. His work integrates research and outreach to family forest owners across Massachusetts and the Northeast, focusing on conservation-based estate planning and ecological forestry across multi-owner landscapes. As an extension faculty member, he bridges academic research with practical land management applications for the 70% of Massachusetts forests classified as family forests. Dr. Catanzaro's research interests center on family forest management, with particular emphasis on landowner decision-making processes, conservation-based estate planning, and ecological forestry across multi-owner landscapes. His work addresses critical challenges in forest continuity, exploring how landowners can make informed decisions about the future of their land while maintaining forest cover. He investigates gender differences in land management, the application of behavioral models to conservation planning, and the economic and social dimensions of forest stewardship. His research consistently connects theoretical frameworks with practical applications for landowners. Analysis of Dr. Catanzaro's publication record reveals a consistent focus on family forest ownership dynamics, with particular attention to estate planning, landowner decision-making, and forest conservation. His work spans multiple disciplines including forestry, sociology, economics, and extension education, reflecting the interdisciplinary nature of family forest management. Recent publications increasingly address emerging challenges such as invasive species impacts (particularly emerald ash borer) and gender perspectives in land management, while maintaining his core focus on ensuring forest continuity through effective estate planning and conservation tools. Through his role as State Extension Forester, Dr. Catanzaro leads several significant outreach initiatives including MassWoods (an online resource for Massachusetts landowners), MassKeystone (a training program for landowners and community leaders), and programs focused on conservation-based estate planning and restoring old-growth forest characteristics. His extension publications translate complex forestry concepts into accessible resources for landowners, covering topics from timber harvesting to will preparation for land transfer. He has developed numerous outreach materials adopted across multiple states, demonstrating the regional significance of his work. Dr. Catanzaro teaches Forest Resources Management (NRC 540) and has previously taught Land Protection Tools and Techniques (NRC 574), Forest Ecology and Conservation (NRC 270), Silviculture (NRC 526), Forest Measurements (NRC 534), Timber Harvesting (NRC 521), and Natural Resources Inventory of Local Lands (NRC 586). His courses integrate his extension experience, professional relationships, and applied research, providing students with practical knowledge grounded in real-world forestry challenges. His teaching emphasizes the connection between academic forestry principles and on-the-ground management decisions faced by family forest owners.
Virginia Polytechnic Institute and State UniversityUnited States
Jason Holliday is a Professor at Virginia Tech's College of Natural Resources and Environment, Department of Forest Resources and Environmental Conservation. He specializes in understanding the genomic basis of climatic adaptation in forest trees. His work integrates 'next gen' sequencing, common garden experiments, and landscape genomics to study traits like cold hardiness and drought tolerance in species such as poplar, spruce, and pine. Education: B.S., University of Victoria (2001); Ph.D., University of British Columbia (2009). Research focuses on predicting adaptation potential under climate change, enhancing conservation genetics, and improving forest productivity through genome-enabled breeding. Key projects include the NSF-funded CAREER grant on Populus adaptation and the USDA Climate Change Coordinated Agriculture Project. Current grants include leadership on NSF Plant Genome Research Program projects and co-PI roles in USDA and Genome Canada initiatives. His lab develops innovative tools like focused ultrasound extraction (FUSE) for non-destructive DNA sampling and applies genomic strategies to restore American chestnut populations. Grant and advising activities include training in plant population genomics and forest genetics. The lab actively collaborates on forest health initiatives, bridging ecological genomics with practical applications in conservation and sustainable forestry.
Lu Zhai is an Assistant Professor in the Department of Natural Resource Ecology & Management at Oklahoma State University. His research focuses on enhancing plant resource sustainability under climate change through integrated approaches involving vegetation modeling, stable isotopes, and remote sensing. Zhai holds a Ph.D. in Biology from the University of Miami (FL, USA), a Master’s in Mathematics from the University of Miami, a Master’s in Forestry from Texas A&M University, and a B.S. in Forestry from Nanjing Forestry University (China). His research interests include forest ecology, functional plant ecology, quantitative ecology, coastal ecology, and stable isotope ecology. He has led and contributed to multiple grants, including projects on avian migration modeling, drought impacts on Oklahoma forests, and alternative maple species for syrup production. Zhai teaches courses such as NREM 3123 – Forest Measurements I , NREM 5073 – Modeling Ecosystem Processes and Species Distributions , and supervises graduate and undergraduate research. His lab, the Zhai Lab, investigates climate adaptation strategies for vegetation and ecosystem resilience. Recent publications address structural diversity’s role in forest productivity under drought, tree mortality patterns, and invasive species management. Zhai collaborates on interdisciplinary projects combining mathematical modeling, field experiments, and remote sensing to address ecological challenges. His work aligns with UN Sustainable Development Goals 13 (Climate Action), 15 (Life on Land), and 6 (Clean Water).
Dr. Chris Zou is a Professor in the Department of Natural Resource Ecology & Management at Oklahoma State University, associated with the Division of Agricultural Sciences and Natural Resources (DASNR). His research focuses on soil-water-vegetation interactions, particularly woody plant encroachment impacts on ecological and hydrological processes in grassland-forest transition zones. He holds a PhD from the University of Canterbury (New Zealand) and completed postdoctoral training at Texas A&M University. Research interests include ecohydrological modeling, climate change effects, and sustainable land use strategies. He has secured over 26 grants since 2005, including projects on prescribed fire impacts, switchgrass production, and water resource resilience. His work bridges field studies with process-based models, emphasizing practical applications for ecosystem management. Recent studies investigate wildfire danger under climate change, trace-element dynamics from juniper encroachment, and future species distribution shifts. Collaborations span institutions like the USDA and USGS, addressing regional sustainability challenges in the Southern Great Plains.
Professor René Hexel currently serves as Dean (Learning & Teaching) and Pro Vice Chancellor (Sciences) at Griffith University, where he directs the Cyber-Physical Systems Lab. With over 85 peer-reviewed publications, he specializes in safety-critical real-time systems and autonomous system verification. 2022–present: Dean (Learning & Teaching), Griffith Sciences 2016–2022: Deputy Head of School (L&T), Griffith School of ICT 2007–2016: Director for Internationalisation, Griffith School of ICT 1999: PhD from Vienna University of Technology His research focuses on safety-critical systems , time-triggered protocols , and human-in-the-loop AI , with applications in aerospace, automotive, and healthcare robotics. Recent work explores humanoid robots for dementia care and verifiable executable models. Key article trends show expertise in: Formal verification techniques Robotics communication protocols Explainable machine learning Real-time system architectures Embedded system validation Human-robot interaction design Research grants include: Australian Space Manufacturing Network (2023–2025) SPASE STEM program grant (2022) Social media wellness monitoring (2019–2020) Internal Griffith grants (2003–2010) He has supervised 12 PhD candidates across topics including: Autonomous system verification Robotics security VR sickness mitigation Intelligent control systems Distributed real-time architectures Professor Hexel previously held academic positions at Vienna University of Technology and founded an IT consulting firm specializing in safety-critical systems.
Lee Kalcsits is an Associate Professor and Endowed Chair of Tree Fruit Environmental Physiology and Management at Washington State University's Tree Fruit Research and Extension Center (TFREC) in Wenatchee, WA. He leads a research team focusing on environmental physiology of apples, pears, and cherries, addressing abiotic stress, plant nutrition, and the preharvest/postharvest physiology interface. His work integrates agroecological, whole-plant, and molecular approaches to improve fruit tree productivity and resilience to environmental challenges. Education: Ph.D. in Tree Physiology (University of British Columbia), M.Sc. in Tree Ecophysiology (University of Saskatchewan), B.Sc. in Horticulture (University of Saskatchewan). Before joining WSU in 2014, he held postdoctoral positions at the University of Victoria and conducted research on poplar tree physiology. Research Interests: His program emphasizes optimizing nutrient management, mitigating abiotic stress (e.g., drought, heat), and understanding rootstock-scion interactions. Key projects include developing tools for real-time nutrient status monitoring, evaluating protective netting and irrigation strategies, and advancing climate resilience for tree fruit crops. Professional Contributions: Kalcsits supervises graduate students and postdocs, collaborates internationally, and leads initiatives funded by USDA, Washington State agencies, and industry partners. His lab has pioneered studies on calcium deficiency disorders, sunburn mitigation, and climate risk modeling for tree fruit production. Lab Members: Current and former students/postdocs include Nadia Valverdi (Ph.D.), Raquel Gomez (M.S.), Alexander Haase (M.S.), and Victor Blanco (Postdoc). Technical staff like Schaefer Buchanan and Mary Smith support field and lab operations.
Michel Meulders serves as Associate Professor of Statistics at the Operations Research and Statistics Research Group (ORSTAT) within KU Leuven's Faculty of Economics and Business. His dual-campus appointments (Brussels and Leuven) reflect his interdisciplinary work bridging statistical methodology with psychological applications, particularly in discrete choice modeling and pain research. Education: 1994: Licentiate in Psychology 2000: PhD in Psychology Research Focus: Dr. Meulders' work centers on discrete choice modeling and multivariate statistics , with significant contributions to quantitative psychology and psychometrics . His methodological innovations address sample size determination , preference heterogeneity , and attribute non-attendance in choice experiments, while applied research explores pain perception and avoidance behavior modulation through positive affect and social support. Publication Trends: Recent work (2022-2025) reveals two converging streams: (1) advanced discrete choice methodologies (machine learning integration, experimental design optimization) and (2) psychological applications (VR pain interventions, social media impact on health behavior). This interdisciplinary approach uniquely connects econometric modeling with clinical psychology through rigorous statistical frameworks. Academic Leadership: PhD Supervision: Primary advisor for S.Y. Assele (discrete choice experiments) and A. Gutierrez Vargas (heterogeneity modeling) Current Projects: Topics in Discrete Choice Modeling (2022-2026) - Co-promotor Heterogeneity in Discrete Choice Models (2019-2023) - Co-promotor Discrete Choice Experiments: Screening & Framing (2018-2023) - Co-promotor Administrative Roles: Head of Subdivision 29 (Brussels Campus), Council member for FEB and Campus Council Research Ecosystem: Dr. Meulders operates at the intersection of ORSTAT's operations research expertise and the Quantitative Psychology group's behavioral science focus, facilitating cross-campus collaborations on statistical methodology development and psychological application testing. His work with the LStat General Assembly further extends methodological influence across KU Leuven's research infrastructure.
Prof. Jean Sciare is a full-time Professor and Director of the Climate and Atmosphere Research Center (CARE-C) at The Cyprus Institute (CyI). He leads major research initiatives including the Cyprus Atmospheric Observatory (CAO), the Unmanned System Research Laboratory (USRL), and the Facility for Chemical Analyses (FCA). His expertise focuses on atmospheric aerosols, air quality, and climate interactions. With over 150 peer-reviewed publications (H-index 46), his work spans aerosol characterization, pollution transport, and UAV-based environmental monitoring. Education: Ph.D. in Atmospheric Chemistry and Physics from Paris VII University (2000), followed by postdoctoral research at Max Planck Institute for Chemistry (2000-2001). He served as CNRS Research Director at LSCE until 2014 before joining CyI. His research infrastructure developments include CAO for long-term pollutant monitoring, USRL for UAV atmospheric studies, and FCA for chemical speciation of atmospheric species. Research Interests: Aerosol dynamics, air quality impacts on health, climate modeling, UAV applications, and transboundary pollution analysis. His work integrates experimental, computational, and remote sensing methods to address global environmental challenges, particularly in Mediterranean and Middle Eastern regions. Grants & Leadership: Principal Investigator of the H2020 Teaming project EMME-CARE, leading collaborations across Europe and the Middle East. His projects emphasize interdisciplinary approaches to environmental sustainability and policy-relevant science. Labs/Teams: oversees CARE-C’s research teams specializing in aerosol physics, climate modeling, and technological innovation, including UAV development for atmospheric sampling.
Andrew Gray is a Research Ecologist with the USDA Forest Service and holds a courtesy faculty position at Oregon State University's College of Forestry, Department of Forest Ecosystems & Society. His research focuses on forest ecology, plant population dynamics, fire ecology, and adaptive management strategies. He has a Ph.D. from Oregon State University (1995), an M.S. from the University of Washington (1990), and a B.S. from the University of Washington (1985). Key research interests include understanding forest succession patterns, impacts of invasive species, and carbon dynamics in Pacific Northwest ecosystems. His work emphasizes bridging ecological monitoring with practical management applications. Gray's publications span topics like regional forest carbon inventories, fire severity classification, and inventory methodological improvements. He collaborates with institutions like the Pacific Northwest Research Station and has contributed to policy-relevant reports such as the AB 1504 California Forest Inventory. He is available to co-advise graduate students with a second major professor.
Dr. Jan K. Woike is a Lecturer in Psychology at the University of Plymouth, affiliated with the School of Psychology within the Faculty of Health. His academic career includes previous roles as a Research Scientist at the Max Planck Institute for Human Development in Berlin, the German Institute for Economic Research (DIW), and the University of Lausanne. His work contributes to the United Nations' Sustainable Development Goals, particularly in advancing ethical decision-making and behavioral insights in societal contexts. Dr. Woike holds a PhD and diploma in Psychology from Ruhr-Universität Bochum (RUB), Germany, and has studied at Harvard University, focusing on psychology, philosophy, and dramatic arts. He also trained as a drama instructor in Germany. PhD and Diploma in Psychology - Ruhr-Universität Bochum Studies in Psychology, Philosophy, Dramatic Arts, and German Language - RUB and Harvard University Drama Instructor Certification - Unna, Germany His research interests span decision heuristics, behavioral ethics, serious games, and crowdsourced research methodologies. He explores how simple decision rules compare to advanced statistical and machine learning techniques, and investigates the ethical dimensions of distributive justice and cooperation. Dr. Woike also develops serious games to simulate decision-making environments and examines the dynamics of crowdsourced platforms like Amazon Mechanical Turk, focusing on data privacy and participant behavior. His work in economic psychology includes studies on investment decisions and behavioral experiments in financial contexts. Recent publications highlight his contributions to understanding dishonesty reduction through honesty oaths, cooperation in public goods games, and the application of fast-and-frugal decision trees in clinical settings. His work also addresses cross-cultural differences in cheating behaviors and the trajectories of gender discrimination in hiring practices. Dr. Woike has not been noted for receiving scientific awards in the provided materials. His teaching portfolio includes courses on judgment and decision making, behavioral ethics, and bounded rationality, reflecting his commitment to bridging theoretical insights with practical applications. While specific lab affiliations or grant details are not detailed here, his interdisciplinary approach integrates methodologies from psychology, economics, and computer science to address complex societal challenges.
Victor J Lieffers is a Professor in the Department of Renewable Resources at the University of Alberta's Faculty of Agricultural, Life & Environmental Sciences. His research focuses on silviculture and forest biology, particularly the dynamics of boreal and mixedwood forests to improve sustainable management practices. His research areas include tree recruitment, competitive relations, ecophysiology of vegetation, cold soil adaptations, photosynthesis in low light, light transmission through mixed canopies, root growth dynamics, natural reproduction of spruce and aspen, crown development in northern conifers, wind-induced branch breakage, and hydraulic conductivity in lodgepole pine stands. He investigates forest decline mechanisms and regeneration standards for public lands. Recent publications highlight his work in boreal forest regeneration techniques, root biology, crown dynamics, and carbon allocation in trees. Key themes include reclamation of disturbed sites, ecological engineering, and forest management under climate stressors. Forest Ecology : Certificate of Reviewing Excellence (2014) Canadian Institute of Forestry : Tree of Life Award (2010) Teaching Excellence : Teacher of the Year (2001, 2006, 2007), Ed & Peggy Tyrchniewicz Award (2002), Killam Annual Professor (1999) International Recognition : IUFRO Scientific Achievement Award (2005), CIFF Scientific Achievement Award (1993)
Dr. Aura Raulo is a Postdoctoral Researcher at the Knowles Lab, University of Turku, with an email affiliation at the University of Oxford. Her research focuses on microbial transmission dynamics in wild animal populations, leveraging advanced tracking technologies (RFID) and Bayesian statistical methods. She investigates how social networks and environmental factors influence microbiota spread in species like wild mice and flying squirrels. Her work bridges ecology, evolution, and computational modeling, exploring metaphors like 'waves' and 'trees' to unify interdisciplinary approaches. Recent projects include analyzing gut microbiota assembly patterns, developing SIR+ disease models, and studying epigenetic aging in wildlife. Research interests span microbiome-host interactions, ecological network structures, and the application of cross-disciplinary tools (e.g., financial crisis models to ecological predictions). Collaborations with artists aim to innovate scientific communication through metaphorical frameworks. She contributes to open-source tools for microbiome analysis and has published extensively on topics like microbial transmission mechanisms, habitat quality impacts, and evolutionary patterns. Key projects include the Knowles Lab’s work on social microbiome dynamics and the development of high-resolution behavioral tracking systems. Her research highlights the interconnectedness of microbial communities with host behavior, environmental conditions, and evolutionary history.
