جست‌وجوی استاد و پژوهشگر

Andrew Plantingaمشاهده پروفایل

استاد

• Natural Resource Economics
• Land Use Policy
• Climate Change
• +۴ مورد دیگر

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.

Meltem ŞENOL BALABANمشاهده پروفایل

دانشیار

• Risk Management
• Urban Flood Risk Management
• GIS-based Modeling
• +۵ مورد دیگر

Meltem ŞENOL BALABAN is an Associate Professor in the Department of City and Regional Planning at Middle East Technical University (METU), Ankara, Turkey. She holds a dual PhD in City and Regional Planning (METU, 2009) and Urban Engineering (University of Tokyo, 2012). Her academic career includes roles as Director of METU Disaster Management Implementation and Research Center (since 2018), Minor Program Coordinator, and Board Member of the Applied Ethic Research Center. She specializes in disaster risk management, urban resilience planning, GIS-based modeling for evacuation/shelter optimization, and climate change adaptation in urban contexts. Her research focuses on flood risk mitigation in riverine cities, institutional frameworks for cultural heritage protection (e.g., UNESCO sites), and earthquake resilience strategies. Notable projects include developing Turkey's provincial risk reduction guidelines, a climate change risk assessment framework (CRAFT) for cultural heritage, and international cooperation initiatives like the UK-funded CRAFT and NET projects. She has authored over 40 peer-reviewed publications and supervised 10+ theses. Key contributions include GIS-based evacuation models for Istanbul, comparative studies of UK/Japan/Turkey disaster policies, and post-disaster resilience assessments. Awards include JICA Scholarship (2009-2012), ProVention Research Grant (2007-2008), and multiple international recognitions for her work on urban risk reduction. Her teaching portfolio includes courses on GIS in planning, disaster management principles, and urban resilience strategies.

James Rothwellمشاهده پروفایل

استاد

• Environmental Pollution
• Environmental Hydrology
• Green Infrastructure
• +۳ مورد دیگر

James Rothwell is a Professor of Physical Geography at The University of Manchester, specializing in environmental pollution and hydrology. He leads the MSc in Green Infrastructure and has held senior academic roles including Deputy Head of Geography and Co-Director of the Manchester Environmental Research Institute. His research focuses on urban challenges, microplastics, and peatland ecosystems, supported by over £15M in grants from NERC, EU, and others. He has supervised 8 PhD students and teaches courses on pollution, hydrology, and sustainable cities. Education: PhD (2006) and BSc (2002) in Geography from The University of Manchester. Professional roles include Lecturer (2008-2014), Senior Lecturer (2014-2017), Reader (2017-2019), and current Professorship since 2019. Research interests include green infrastructure for urban flooding, microplastic transport, and heavy metal dynamics in peatlands. Major projects include EU-funded GrowGreen (€11M+) and UK-based flood management initiatives. Over 50 peer-reviewed articles address environmental challenges in cities, peatlands, and global ecosystems. Grants highlight interdisciplinary work across continents, with notable projects like the Manchester Sky Garden Challenge (2024) and studies on peatland restoration. Media coverage includes high-profile reports on UK microplastic pollution in rivers. Teaching spans undergraduate to postgraduate levels, integrating research into courses like Environmental Pollution and Green Infrastructure Planning. Administrative roles include leading admissions and undergraduate programs in Geography.

Ross Meentemeyerمشاهده پروفایل

استاد

• Geospatial Analytics
• Ecological Forecasting
• Biological Invasions
• +۳ مورد دیگر

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.

• Climate Change Attribution
• Extreme Weather Events
• Agricultural Impacts of Climate Change
• +۳ مورد دیگر

Mariam Zachariah serves as a Research Fellow at the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. She is a core contributor to World Weather Attribution (WWA), an international scientific collaboration conducting rapid climate change attribution analyses for extreme weather events globally. Her work bridges climate science, vulnerability assessment, and policy-relevant research. Her educational foundation includes a PhD from the Indian Institute of Technology Bombay (IITB), where she investigated climate impacts on Indian agriculture. This research focused on drought and extreme temperature effects on crop yields in major agrarian regions, recognizing agriculture's critical role in India's climate-vulnerable economy. Zachariah's research centers on near-real-time attribution of extreme events to quantify human-induced climate change influences. Her expertise spans climate modeling, statistical analysis of extreme weather, and integrating vulnerability frameworks to assess compound impacts on communities. She examines how climate change interacts with socioeconomic factors to exacerbate disasters, particularly in agricultural systems and flood-prone regions worldwide. Analysis of her recent publications reveals a dominant focus on rapid attribution of droughts, floods, and heatwaves across diverse global contexts - from the Horn of Africa to Central Europe and South America. These studies consistently demonstrate climate change as a significant amplifier of event severity, while emphasizing how pre-existing vulnerabilities determine actual impacts. Her work increasingly addresses compound hazards and the intersection of climate change with infrastructure failures and land management. As a key member of the World Weather Attribution initiative, Zachariah collaborates with climate scientists, social scientists, and vulnerability experts in a unique operational framework that delivers scientific assessments within days of extreme events. This work directly informs policymakers, media, and affected communities about climate change's role in contemporary disasters.

Panayiotis Koliosمشاهده پروفایل

استادیار

• Autonomous Systems
• Intelligent Transportation Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Panayiotis Kolios is an Assistant Professor at the Department of Computer Science, University of Cyprus (UCY). Previously, he served as a Research Assistant Professor at the KIOS Research and Innovation Centre of Excellence (2013–2024) and a Visiting Lecturer at UCY. He holds a BEng and PhD in Telecommunications Engineering from King’s College London (2008 and 2012, respectively). His research focuses on networked intelligent systems, emergency management using AI and UAV technologies, and cyber-physical systems. Education: BEng in Telecommunications Engineering, King’s College London, 2008 PhD in Telecommunications Engineering, King’s College London, 2012 Research Interests: His work centers on autonomous systems, intelligent transportation, and emergency management. Key areas include AI-driven disaster response, UAV-based surveillance, and algorithmic optimization for critical infrastructure. He develops solutions for real-time situational awareness and decision-support in emergencies. Recent work trends show a focus on multi-UAV coordination, disaster management platforms (like AIDERS), and AI applications in emergency response. His team’s 2023 win in the Cooperative Aerial Robots Inspection Challenge highlights advancements in UAV inspection algorithms. Scientific Awards: First Prize in Cooperative Aerial Robots Inspection Challenge (CDC 2023) Grants and Advising: He has secured over €40 million in EU and industrial grants, leading projects like PREDICATE, SWIFTERS, and AIDERS. His team advises on emergency response strategies and has trained first responders through EU-funded programs such as the Exchange of Experts training. Labs and Teams: He leads the Security and Emergency Response Group at KIOS CoE and established the Cyprus Civil Defence Aerial Observation Unit. His team collaborates with institutions like the Cyprus Police and Fire Service to operationalize UAV technologies in disaster scenarios.

Min Chenمشاهده پروفایل

استادیار

• Terrestrial Ecosystem Modeling
• Remote Sensing Applications
• Human-Earth System Interactions
• +۳ مورد دیگر

Min Chen is an Assistant Professor in the Department of Forest and Wildlife Ecology at the University of Wisconsin–Madison, affiliated with the Russell Labs. His research focuses on terrestrial ecosystem modeling, remote sensing applications, and human-Earth system interactions. He holds a PhD in Earth & Atmospheric Sciences from Purdue University, an MS in Remote Sensing and GIS from Beijing Normal University, and a BS in Computer Science from Beijing Normal University. His postdoctoral work included roles at the Carnegie Institution for Science and Harvard University. Research interests include forest carbon dynamics, methane emissions from wetlands, wildfire risk analysis, and the integration of remote sensing with Earth system models. His work emphasizes advancing methods for global-scale environmental monitoring using satellite and drone technologies. Notable contributions include studies on forest edge dynamics, vegetation-climate feedbacks, and the application of machine learning in ecological modeling. Recent publications highlight advancements in leaf trait prediction using transfer learning, global wetland methane flux modeling, and the impacts of climate change on land-use patterns. His lab develops innovative approaches to track terrestrial carbon cycles and assess human-driven environmental changes. Ongoing projects explore urban land expansion effects on carbon balances and phenological shifts under global change scenarios.

Heesung Wooمشاهده پروفایل

استادیار

• Robotics in Forestry
• Sensor Integration
• Precision Forestry
• +۴ مورد دیگر

Dr. Heesung Woo is an Assistant Professor of Advanced Forestry at the College of Forestry, Oregon State University , specializing in robotics, sensor integration, and precision forestry. His work focuses on autonomous forestry machinery, AI-driven forest management, and sustainable practices. He advises two graduate students and collaborates internationally through research projects. Research Interests: Autonomous Forest Machinery Development Sensor Integration & ICT Solutions Precision Forestry via Remote Sensing/LiDAR/GIS Machine Learning for Forest Inventory Advanced Forestry Practices for Sustainability Publications emphasize innovative applications of technology in forestry, including LIDAR integration, harvester data analytics, and carbon offset project modeling. His work bridges engineering, environmental science, and policy. Dr. Woo leads the Advanced Forestry Lab at Oregon State, focusing on real-world deployment of cutting-edge technologies to address challenges in forest operations, sustainability, and resource optimization.

Scott L. Stephensمشاهده پروفایل

استاد

• Wildland Fire Science
• Fire Ecology
• Forest Ecology
• +۳ مورد دیگر

Scott L. Stephens is a Professor in the Department of Environmental Science, Policy, and Management (ESPM) at the University of California, Berkeley. He holds a Ph.D. in Wildland Resource Science from UC Berkeley (1995) and a B.S. in Electrical Engineering from Sacramento State University (1985). His research focuses on wildland fire science, fire ecology, and forest management, with an emphasis on how climate change and policy influence fire regimes. He leads the Stephens Lab, which conducts interdisciplinary studies on fire behavior, ecosystem resilience, and policy reform. Key contributions include advocating for prescribed burning and Indigenous stewardship practices to mitigate wildfire risks. Stephens has testified before congressional committees on forest health and has been recognized as a Clarivate Highly Cited Researcher (2024). His work integrates ecological, policy, and management perspectives to address contemporary fire challenges. Education: Ph.D., Wildland Resource Science, UC Berkeley, 1995 B.S., Electrical Engineering, Sacramento State University, 1985 Research Interests: Wildland fire behavior and effects Fire ecology and ecosystem interactions Climate change impacts on fire regimes Policy and management of fire-adapted landscapes Scientific Contributions: Stephens has authored or co-authored over 150 peer-reviewed articles, including seminal works on prescribed fire efficacy, forest restoration, and policy reform. His lab’s research has been featured in BioScience , Ecological Applications , and policy briefs for federal agencies. Lab and Collaborations: The Stephens Lab collaborates with Indigenous communities, federal agencies, and international researchers to advance fire science. Notable projects include the Fire and Fire Surrogate Study (FFS) and the Stewardship Project, which advocate for integrating Indigenous burning practices into federal policies.

• Bushfire Risk Management
• Environmental Science
• Wildfire Ecology
• +۳ مورد دیگر

Owen Price is an Associate Professor and Director in Bushfire Risk Management at the School of Earth, Atmospheric and Life Sciences (SEALS), University of Wollongong. His roles include leading research on wildfire impacts on ecosystems, human health, and infrastructure. He holds a PhD from the Australian National University (1998), an MSc from the University of Strathclyde (1986), and a BSc (hons) from the University of York (1985). Director, Centre for Environmental Risk Management of Bushfire (since 2020) Principal Fellow, SEALS (2019–2021) His research integrates fieldwork, GIS/remote sensing, and statistical modeling to address landscape-scale wildfire risks. Key interests include fire severity effects on biodiversity, smoke pollution impacts, and cost-effective fire management strategies. He supervises postgraduate students in topics like coastal wetland vulnerability and fire regime analysis. Recent grants include studies on coastal wetlands' fire resilience (2023–2026), Bayesian fire spread modeling (2023–2026), and evaluating aerial firefighting efficacy (2023). His work bridges ecological, social, and technical dimensions of wildfire risk. Notable awards and recognitions are not explicitly listed in the provided materials. His contributions to fire policy and community adaptation are highlighted through collaborative projects with government and environmental agencies.

• Neuroscience
• Cognitive Neuroscience
• Memory Processes
• +۴ مورد دیگر

Simon Hanslmayr is a Professor in the School of Psychology & Neuroscience at the University of Glasgow. His research investigates neural oscillations' role in attention and memory processes, employing EEG, fMRI, and transcranial stimulation techniques. He focuses on healthy populations and clinical conditions like Schizophrenia and PTSD. His lab develops tools like the Brain Time Toolbox for electrophysiological data analysis. Education: Ph.D. in Cognitive Neuroscience (not explicitly detailed in text) Research interests include understanding how precise neural timing via oscillations underpins cognitive functions. Key areas: hippocampal memory coding, theta phase synchronization in associative memory, and causal effects of rhythmic stimulation on memory plasticity. Recent articles highlight mechanisms linking theta oscillations to memory formation, thalamocortical interactions in perception, and hippocampal-neocortical coupling. His work bridges experimental and computational approaches to model memory dynamics. Grants: Sensory stimulation for memory impairment (BIAL Foundation, 2025-2026) EU-funded studies on neural oscillations and memory (2020-2021) Awards: None explicitly listed, but active grant recipient. Supervised students include Kiera Capstick, Eleonora Marcantoni, and others. Collaborates with researchers worldwide through lab affiliates and visiting scholars. Current work emphasizes scalable neurotechnologies for cognitive enhancement and memory rehabilitation. Labs/Teams: Leads the Memory & Oscillations Lab at the University of Glasgow, collaborating with institutions like the University of Zurich and Maastricht University on neuroimaging and clinical studies.

Mark Crowleyمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Deep Learning
• Ensemble Methods
• +۶ مورد دیگر

Mark Crowley is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo , with a cross-appointment in the Cheriton School of Computer Science . He is actively involved in the Waterloo Artificial Intelligence Institute (WAII) , the Waterloo Institute for Complexity and Innovation (WICI) , and serves as National Secretary for the Canadian Artificial Intelligence Association (CAIAC) , coordinating the Canadian Conference on AI . Research interests span the theoretical and applied aspects of Reinforcement Learning , Deep Learning , Manifold Learning , and Ensemble Methods . His work addresses challenges in domains with spatial dynamics, multi-agent systems, and uncertainty, particularly in Computational Sustainability (forest fire management, sustainable forestry), Autonomous Driving , Medical Imaging , and Material Design . Recent research focuses on integrating causal modeling with generative representation learning to improve out-of-distribution robustness in motion forecasting applications. Key publications include foundational work on ChemGymRL environments for safe chemical process reinforcement learning, Generative Causal Representation Learning for robust forecasting, and collaborative work on multi-advisor reinforcement learning in multi-agent settings. He co-authored a textbook Elements of Dimensionality Reduction and Manifold Learning (Springer, 2023) with Prof. Ali Ghodsi and Prof. Fakhri Karray. Teaching includes graduate and undergraduate courses in Algorithm Design , Computational Intelligence , Reinforcement Learning , and Data Modeling at the University of Waterloo since 2018. His research group has produced several notable graduates including Benyamin Ghojogh (2021), who continued as a postdoc until 2022.

Sharryn M. Kasmirمشاهده پروفایل

استاد

• Global Capitalism
• Labor and Working Classes
• Nationalist Movements and Identity
• +۳ مورد دیگر

Sharryn M. Kasmir serves as Professor of Anthropology at Hofstra University, where she conducts critical research on labor, capitalism, and working-class communities through ethnographic fieldwork in Spain's Basque region and the U.S. South. Her institutional affiliation centers within the Department of Anthropology, though the specific school/college structure isn't explicitly stated in available materials. Her academic credentials include: PhD from CUNY Graduate School and University Center MPhil from CUNY Hunter College BA from University of Massachusetts Amherst Professor Kasmir's research program critically interrogates Global Capitalism's impact on working-class lives, with specialized focus on Labor and Working Classes, Nationalist Movements and Identity, and Popular Culture across Western Europe and North America. Her fieldwork at Mondragon's worker cooperatives challenged idealized narratives through working-class perspectives, while her Saturn factory research exposed how auto workers navigate perpetual plant closure threats and economic insecurity. As co-editor of the seminal volume Blood and Fire: Toward a Global Anthropology of Labor , she established foundational frameworks for contemporary labor anthropology that bridge ethnographic detail with macro-political economic analysis. Her publication trajectory since the 1990s reveals persistent engagement with labor anthropology's core questions: analyzing worker cooperatives as contested sites within global capitalism (1996-2016), documenting working-class dispossession amid industrial restructuring (2008-2016), and developing theoretical tools like 'unevenness' for cross-cultural labor studies (2016). This body of work consistently synthesizes cultural anthropology, political economy, and critical theory to center workers' lived experiences within broader capitalist transformations. Available documentation contains no references to scientific awards, research grants, student advising activities, laboratory facilities, or collaborative research teams.

Kishalay Mitraمشاهده پروفایل

استاد

• Optimal Control Under Uncertainty
• Bioenergy Supply Chain Design
• Surrogate Multi-Objective Optimization
• +۱۳ مورد دیگر

Kishalay Mitra is a Professor at the Indian Institute of Technology Hyderabad , with affiliations to the Department of Chemical Engineering , Department of Climate Change , and Department of Artificial Intelligence . He also holds visiting professorships at Washington University in St. Louis and University of Washington, Seattle . His work in the Global Optimization & Knowledge Unearthing Laboratory (GOKUL) spans interdisciplinary optimization, machine learning, and their applications in industrial-scale engineering problems. Education : Ph.D. from IIT Bombay. Research Interests : Mitra's research focuses on optimization under uncertainty , surrogate modeling , multi-objective optimization , and integrating machine learning with physics-based models . His work addresses real-world challenges in wind energy , bioenergy supply chains , chemical process control , nanoscience , and environmental modeling (e.g., PM10 spatiotemporal analysis, forest fire prediction, and carbon capture). Article Trends : His recent publications emphasize wind energy systems (layout optimization, yaw control, forecasting), materials science (precipitate growth prediction, polymerization), and industrial processes (crystallization, grinding circuits). Techniques include neural operators , Bayesian optimization , generative adversarial networks (GANs) , and explainable AI .

• Cognitive/Systems Neuroscience
• Computation and Theory
• Neurobiology of Learning and Memory
• +۷ مورد دیگر

Larry Abbott is the William Bloor Professor of Theoretical Neuroscience at Columbia University, with joint appointments in the Department of Physiology and Cellular Biophysics (within Biological Sciences) and the Mortimer B. Zuckerman Mind Brain Behavior Institute. He serves as Co-Director of the Center for Theoretical Neuroscience and is a Senior Fellow at HHMI Janelia Farm. PhD in Physics (1977), Brandeis University His research focuses on computational and mathematical modeling of neurons and neural networks, emphasizing spike-timing-dependent plasticity, sensory encoding in olfaction, and dynamics of internally generated neural activity. He explores how chaotic neural activity is harnessed for motor output and how perception involves dynamic inference and synaptic plasticity. Recent publications highlight applications of recurrent neural networks, hierarchical control mechanisms, and sensory-motor integration. Collaborative work spans institutions like MIT, Hebrew University, and the Allen Institute for Brain Science. Awards include the NIH Director’s Pioneer Award and the Swartz Prize in Theoretical Neuroscience. NIH Director’s Pioneer Award (2004) Swartz Prize (2010) First Annual Prize in Mathematical Neuroscience (2013) Irving Institute Mentor of the Year (2013)