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Adrian HarpoldView profile

Associate Professor

• Mountain ecohydrology
• Snow hydrology
• Water sustainability
• +5 more

Adrian Harpold is an Associate Professor in the Department of Natural Resources & Environmental Science at the University of Nevada, Reno , where he leads the Nevada Mountain Ecohydrology Lab . His work addresses water sustainability challenges in the context of rapid environmental change and increasing demand for water resources in the 21st century. Education : B.S. Virginia Polytechnic Institute, 2003 M.S. Virginia Polytechnic Institute, 2005 Ph.D. Cornell University, 2010 Research Interests : Harpold’s research centers on mountain ecohydrology , integrating field observations, remote sensing, and modeling to understand how climate change, forest structure, and extreme events affect snowpack dynamics, vegetation feedbacks, and water availability. His lab addresses three guiding questions: How will changing and extreme climate impact mountain snowpacks and precipitation? How do feedbacks between changing snowpacks and vegetation control catchment-scale water budgets, especially during drought? How will changing snowpacks and precipitation alter streamflow generation and flood sensitivity? Additional themes include the fate and transport of water, energy, carbon, and biogeochemical solutes at landscape scales, bridging basic and applied science. Publication Trends : From 2022–2025, Harpold has published prolifically on snow hydrology , forest-snow interactions , machine-learning applications , and climate-driven hydrologic change . Recent work emphasizes lidar-based forest characterization , non-stationarity in hydrologic models after mega-disturbances , and groundwater influence on snowmelt runoff . These studies collectively advance predictive capabilities for water resource management under non-stationary climate conditions. Scientific Awards : No specific awards are listed in the provided text. Advising, Grants & Collaborations : Harpold mentors graduate students through the Graduate Program of Hydrologic Sciences at UNR. While individual student names are not provided, his lab actively involves graduate researchers in field campaigns, remote-sensing analysis, and integrated modeling projects. Grant funding supports lidar acquisitions, field instrumentation across the Sierra Nevada, and development of decision-support tools for forest and water managers. Labs & Teams : The Nevada Mountain Ecohydrology Lab (website: https://www.unr.edu/natural-resources/mountain-ecohydrology ) operates field sites and sensor networks across the Sierra Nevada and Great Basin, leveraging partnerships with federal agencies, forest services, and irrigation districts to translate research into actionable water-resource strategies.

Fredrik JanssonView profile

Researcher

• Atmospheric Science
• Climate Modeling
• Computational Physics
• +5 more

Fredrik Jansson is a Researcher at Delft University of Technology, affiliated with the Faculty of Civil Engineering and Geosciences and the Geoscience and Remote Sensing department. He works on weather and climate simulations within the Ruisdael Observatory project, focusing on improving the Dutch Atmospheric Large-Eddy Simulation (DALES) model's performance and usability for high-resolution atmospheric studies. PhD in Physics from Åbo Akademi University (Finland) Develops DALES model for cloud and convection resolution Collaborates with the Netherlands eScience Center for computational optimization Research interests: pattern formation, cloud dynamics, cold pools, superparameterization His recent work examines how cold pools and trade cumulus self-aggregation influence Earth's radiation budget and climate systems. He explores symmetry in mesoscale circulations and the impact of environmental drivers on atmospheric boundary layer dynamics . Key projects include: Regional superparameterization of OpenIFS using DALES Cloud organization in radiative-convective equilibrium High-performance computing optimizations for climate models Fredrik also contributes to computational tools like Kilombo (Kilobot simulator) and VECMAtk for uncertainty quantification. His interdisciplinary work bridges atmospheric science, robotics, and DIY electronics.

Anna-Maria VirkkalaView profile

Researcher

• Geosciences
• Climate Change
• Arctic Ecology
• +5 more

Anna-Maria Virkkala serves as a Grant-funded Researcher at the Department of Geosciences and Geography, University of Helsinki, with dual affiliations as Supervisor for the Doctoral Programme at the Helsinki Institute of Sustainability Science (HELSUS) and Visiting Scholar at the Institute for Atmospheric and Earth System Research (INAR). Her research centers on Arctic ecosystem dynamics under climate change, particularly carbon cycling in permafrost regions and tundra vegetation responses. Educational background: Master of Science in Geosciences, University of Helsinki (awarded April 2016) Her research integrates remote sensing, field measurements, and spatial modeling to investigate critical climate feedbacks. Key focus areas include high-resolution mapping of Arctic vegetation biomass, greenhouse gas fluxes across tundra ecosystems, and plant trait responses to warming. This work reveals how woody plant expansion and carbon sequestration dynamics may accelerate or mitigate climate impacts in vulnerable polar regions. Recent studies highlight the complexity of ecosystem responses, showing inconsistent relationships between plant traits and climate-driven species shifts. Publication analysis of her 20 most recent works (2016-2025) demonstrates consistent leadership in international Arctic research consortia. Her 2023-2025 output shows increasing emphasis on spatial heterogeneity in carbon fluxes and biome-scale vegetation mapping, often utilizing 30m-resolution remote sensing data. Collaborative networks span 50+ institutions across North America, Europe, and Asia. Scientific recognition: Clean Vallisaari Innovation Competition (2016) She maintains the Arctic Chamber Metadata dataset (2000-2018) and contributes to major initiatives like the Arctic Vegetation Archive. Dr. Virkkala actively supervises Master's and Licentiate theses while leading the 2025 "Borealization in Northern Finland" project examining biodiversity-carbon balance interactions. Her 31 documented activities since 2016 include leadership roles in the International Arctic Science Committee terrestrial working group, peer review for major journals, and presentations at premier forums including the EGU General Assembly and Arctic Science Summit Week. Her research operates through HELSUS and INAR networks, with extensive collaboration across the International Network for Terrestrial Research and Monitoring in the Arctic (INTERACT). Current work focuses on boreal-tundra transition zones and high-resolution predictive modeling of ecosystem carbon feedbacks.

• Remote Sensing
• Atmospheric Pollution Monitoring
• Marine Environmental Science
• +2 more

Dr. BAO Fangwen is a Researcher at the Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech). He holds a PhD in Cartography and Geographic Information Systems from the Chinese Academy of Sciences (2018) and a BSc in Surveying and Mapping Science and Technology from China University of Geosciences (Wuhan) (2013). His research focuses on marine-atmospheric parameter inversion using remote sensing, environmental pollution monitoring, and multi-scale pollution source analysis. Education: PhD, Cartography and GIS, Chinese Academy of Sciences (2013-2018) BSc, Surveying and Mapping Science and Technology, China University of Geosciences (Wuhan) (2009-2013) Dr. Bao has published extensively in top-tier journals such as Remote Sensing of Environment , Environmental Science & Technology , and IEEE Transactions on Geoscience and Remote Sensing , with research spanning aerosol optical properties, black carbon concentration estimation, and pollution transport dynamics. His work combines satellite data analysis with environmental modeling. He has conducted research projects funded by the Guangdong Provincial Basic and Applied Basic Research Fund and the China Postdoctoral Science Foundation. From 2016-2017, he was a visiting scholar at the Laboratory of Atmospheric Optics, University of Lille I, France.

Catherine BeckView profile

Associate Professor

• Paleoenvironmental Reconstruction
• Geoarchaeology
• Sedimentology
• +5 more

Catherine Beck serves as Associate Professor of Geosciences and Co-Director of Geoarchaeology at Hamilton College, where she leads research reconstructing Cenozoic paleoenvironments through sedimentary and stratigraphic records. Her work focuses on the East African Rift Valley, particularly the Turkana Basin in Kenya, integrating field research, continental scientific drilling, and laboratory analyses to understand paleoclimate dynamics and their relationship to early hominin evolution. Beck earned her Ph.D. and M.S. from Rutgers University and B.S. from Tufts University. Her educational foundation supports expertise in sedimentology, stratigraphy, and isotope geochemistry, with fieldwork spanning Kenya's Rift Valley and New York's Adirondack region. She directs the Hamilton Isotope Lab (HIL), collaborating with instrument technician Bruce Wegter to advance paleoenvironmental research. Her research centers on coupling lake sediment studies with paleoecology and stable isotope analyses to constrain conditions during hominin evolution. Key methodologies include grain-size analysis, XRF scanning, ostracod sclerochronology, and enamel proteomics. Recent work examines orbital-scale climate controls, hydrologic changes since the Mid-Miocene Climatic Optimum, and alkaline soil development in rift valleys. She emphasizes multi-proxy approaches to resolve complex paleoenvironmental questions across the Miocene to Pleistocene. Analysis of Beck's 15 most recent publications reveals dominant themes in Turkana Basin paleoenvironmental reconstruction, with strong emphasis on hominin evolution contexts. Her work bridges paleoclimatology, archaeology, and geology through techniques like dental microwear analysis, proteomics, and biomarker studies. Recurring methodologies include high-resolution grain-size analysis, stable isotope geochemistry, and integration of drilling core data with outcrop studies. Beck received the Class of 1963 Excellence in Teaching Award in Spring 2017. Her research is supported through the Hominin Sites and Paleolakes Drilling Project (HSPDP) and institutional resources like the Hamilton Isotope Lab. She actively mentors students through Senior Thesis courses and field studies, with publications highlighting educational innovations like "Early and Often" field course integration. As Co-Director of Geoarchaeology and HIL director, Beck leads collaborative teams involving students, technicians, and international researchers. Her work with the ICDP workshop on Deep Drilling in the Turkana Basin exemplifies her commitment to large-scale interdisciplinary projects exploring climate-hominin linkages. Current efforts focus on 29-million-year enamel proteome datasets and orbital-scale hydroclimate variability.

• Satellite Remote Sensing
• Atmospheric Chemistry Modeling
• Trace Gas Monitoring
• +3 more

Song Liu is a Research Assistant Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). She obtained her PhD in atmospheric remote sensing from Technical University of Munich and has worked at German Aerospace Center before joining SUSTech. Her research focuses on satellite remote sensing retrieval and chemical model simulation of atmospheric trace gases, with expertise in monitoring nitrogen dioxide and other trace gases using satellite observations. Education PhD in Atmospheric Remote Sensing, Technical University of Munich (2015-2019) MSc in Aerospace and Geodesy, Technical University of Munich (2012-2015) MSc in Remote Sensing and Information Engineering, Wuhan University (2011-2015) BEng in Remote Sensing and Information Engineering, Wuhan University (2007-2011) Research Interests Dr. Liu's research primarily focuses on Satellite Remote Sensing Monitoring of Trace Gases and Atmospheric Chemical Modeling and Emission Inversion . Her work involves developing advanced satellite remote sensing techniques to monitor atmospheric pollutants and understanding the chemical processes that govern air quality across different spatial and temporal scales. Her research has important implications for environmental policy and air quality management, as it provides critical data for understanding emission sources, tracking pollution trends over time, and evaluating the effectiveness of emission control measures. Dr. Liu's work bridges the gap between satellite observations and ground-level air quality through innovative data processing techniques and modeling approaches. Research Trends Dr. Liu's publications demonstrate a consistent focus on advancing satellite-based monitoring of atmospheric trace gases, particularly nitrogen dioxide. Her work spans methodological improvements in satellite data processing, analysis of long-term pollution trends, and investigation of specific emission sources including power plants, shipping, and urban areas. A notable aspect of her recent work is the application of satellite observations to study the impacts of extraordinary events like the COVID-19 pandemic on air quality, as well as the effects of extreme weather events like heatwaves on pollution patterns. Research Projects Dr. Liu has secured competitive research funding including: National Natural Science Foundation of China Youth Project: "Driving Mechanism of Nitrogen Oxide Emission Evolution in China Based on Long-Term Satellite Inversion" Guangdong Natural Science Foundation General Project: "Monitoring of Glyoxal Emissions in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Geostationary Satellite GEMS" These projects highlight her expertise in using satellite data to address critical environmental challenges in China and the Greater Bay Area, with direct applications to regional air quality management and environmental policy.

Shandra Nicole FreyView profile

Professor

• Human-Wildlife Interactions
• Wildlife Management
• Predator Ecology
• +3 more

Dr. Shandra Nicole Frey (Nicki Frey) is a Professor in the Department of Wildland Resources at Utah State University, specializing in Human-Wildlife Interactions. She collaborates with federal, state, and local partners to research sensitive species and develop strategies for reducing wildlife damage while promoting positive human-wildlife coexistence. Her work spans species including small mammals, ringtails, sage-grouse, and free-roaming horses. She also leads youth education programs engaging high-school students in natural resources research. Education PhD, Wildlife Biology (Human-Wildlife Interactions), Utah State University, 2004 MS, Wildlife Biology (Human-Wildlife Interactions), Utah State University, 2001 BS, Wildlife Management, West Virginia University, 1996 Research Focus Dr. Frey's research integrates wildlife ecology with human dimensions, emphasizing: Predator-prey dynamics in managed landscapes Conservation strategies for species like sage-grouse and prairie dogs Anthropogenic impacts on wildlife behavior and habitat use Her publications consistently address wildlife responses to human activities including mining, energy infrastructure, and hunting. Awards & Honors Innovative Extension Program Award (2023) The Wildlife Society Fellow (2021) Goldwater Scholarship (2019) Award of Excellence, Western Extension Directors’ Association (2015) Professional Achievement Award, Central Mountain and Plains Section of TWS (2013) Advising & Outreach Dr. Frey mentors graduate students in wildlife management and leads extension programs on human-wildlife conflict resolution. She develops educational materials for landowners and manages youth initiatives like the National Wildlife Habitat Evaluation Program. Collaborations She works with the Jack H. Berryman Institute and partners with agencies including US Forest Service, BLM, and Utah DWR on field research and conservation implementation.

Dongsheng JiView profile

Professor

• Ozone & Atmospheric Environment Monitoring
• Photochemical air pollution
• Characteristics and formation mechanism of regional air pollution
• +3 more

Dr. Dongsheng Ji is a Professor and Ph.D. supervisor at the Institute of Atmospheric Physics, Chinese Academy of Sciences, where he serves as Vice Director of SCAS-CERN. His research focuses on atmospheric environment and chemistry, particularly air pollution monitoring and analysis in the Beijing-Tianjin-Hebei region of China. Dr. Ji received his Bachelor's and Master's degrees from the College of Chemistry and Chemical Engineering at Inner Mongolia University (1997-2001), followed by his Ph.D. in Atmospheric Environment from the Institute of Atmospheric Physics, Chinese Academy of Sciences (2005-2008). His research expertise spans ozone monitoring, photochemical air pollution, regional air pollution characteristics and formation mechanisms, carbonaceous aerosols, and atmospheric pollution control. Through continuous high-temporal resolution measurements across multiple cities, he has made significant contributions to understanding carbonaceous aerosols and fine particulate matter in northern China. His work bridges fundamental atmospheric science with practical policy applications, providing crucial insights for air pollution control measures. Analysis of his recent publications reveals a progression from basic pollution characterization to evaluating the effectiveness of control policies, including those implemented during major events like the Beijing Winter Olympics. His research demonstrates strong methodological rigor with emphasis on long-term observational data and comprehensive chemical analysis of atmospheric components. China Communications and Transportation Association Science and Technology Progress Award (Second Prize, Ministry-level, 2021) Zhejiang Province Environmental Protection Science and Technology Award (Second Prize, Provincial-level, 2019) Beijing Science and Technology Progress Award (First Prize, Provincial-level, 2018) Dr. Ji actively mentors graduate students including Gao Wenkang, Cao Wan, Yang Cui, Dong Wei, and currently Ruihuan Liu. His research is supported by multiple grants related to atmospheric environment monitoring and pollution control, contributing significantly to China's evidence-based environmental policy development. He plays a key role in the comprehensive atmospheric pollution observation network in northern China, which provides critical data for understanding regional air quality patterns and their evolution over time.

Pedro PalmaView profile

Researcher

• Energy Poverty
• Climate Change Mitigation
• Building Energy Efficiency
• +3 more

Pedro Palma is a Researcher at the Center for Environmental and Sustainability Research (CENSE) since May 2017. He is affiliated with the Faculty of Science and Technology at NOVA University Lisbon , where he earned his MSc in Environmental Systems Engineering . Currently pursuing his PhD in the Environment and Sustainability Doctoral Program , his work focuses on energy poverty vulnerability assessment, building energy efficiency, and climate change mitigation strategies. Education: MSc in Environmental Engineering, Environmental Systems Engineering Profile (NOVA School of Science and Technology) His research bridges energy efficiency, climate resilience, and social equity, with a particular emphasis on spatial-scale analysis and future scenario modeling. Recent publications highlight cross-national comparisons, behavioral interventions, and the intersection of energy poverty with public health. Palma is part of the MARE (Marine and Environmental Sciences Centre) and contributes to initiatives like the Portuguese Association of Marine Litter and the ERASMUS Program . Scientific awards and grants are not explicitly mentioned in available records. His work has been disseminated through platforms like ORCID and ResearchGate , with collaborations across Portugal, Spain, and international institutions.

• Remote Sensing
• Environmental Monitoring
• Oil Spill Detection
• +3 more

Cathleen Elaine Jones is a part-time Professor in Earth Observation at the Department of Physics and Technology, UiT The Arctic University of Norway. Research Focus: Remote sensing applications for oil spill detection, sea ice dynamics, and climate monitoring using Synthetic Aperture Radar (SAR) imagery. Collaborations: Worked with researchers like Camilla Brekke, Benjamin Holt, and Malin Johansson on oil spill characterization and polarimetric SAR techniques. Recent Work: Investigated natural oil seeps (2025), operational sea ice monitoring (2025), and developed novel SAR-based oil slick discrimination methods (2024-2025). Key Contributions: Authored studies on oil spill damping ratios (2023), SAR imaging geometry (2016), and multisensor comparisons (2016). Technological Expertise: Specializes in polarimetric SAR data analysis, environmental signal processing, and geospatial modeling for marine and polar regions.

Chester S. SpellView profile

Professor

• Organizational Behavior
• Employee Well-being
• Behavioral Health in Organizations
• +6 more

Dr. Chester S. Spell serves as a Professor of Management in the School of Business at Rutgers University–Camden, specializing in Human Resources and Organizational Behavior. His primary affiliations include the Department of Management where he teaches undergraduate and MBA courses including Organizational Behavior Leadership, Human Resource Management, and Compensation. He holds a Ph.D. from the Georgia Institute of Technology. Education: Ph.D., Georgia Institute of Technology Research Focus: Spell's scholarship centers on behavioral health and well-being in organizations, with deep investigation into psychological health dynamics, organizational justice systems, and workplace substance abuse programs. His work examines how social structures within teams influence health outcomes and explores interventions like employee assistance programs and work-family support systems. He has pioneered research on diversity faultlines, analyzing how demographic alignments within groups trigger conflict or enhance performance. Publication Trends: Recent work (2020-2023) reveals expanding interests in AI's impact on group collaboration and post-pandemic workplace adaptations, while maintaining core focus on diversity training effectiveness and historical leadership lessons from disasters. His publications span interdisciplinary domains including management history, negotiation theory, and self-employment economics, consistently appearing in premier journals like Academy of Management Journal and Journal of Applied Psychology . Awards: No scientific awards documented in source materials Academic Contributions: Spell has developed innovative courses including Employee Health and Well-being for the Business Leader Development Program. His media expertise covers disability issues, mental health advocacy, and substance abuse treatment frameworks. Despite extensive publication output, the source text provides no details about doctoral advisees or major research grants. Research Infrastructure: No dedicated laboratories, research centers, or formal team structures are referenced in the available documentation.

Juha AaltoView profile

Associate Professor

• Climate Change
• Microclimate Modeling
• Biogeography
• +5 more

Juha Aalto is an Associate Professor in the Department of Earth Sciences and Geography at the University of Helsinki, where he leads the BioGeoClimate Modeling Lab. He serves as a supervisor for both the Doctoral Programme in Atmospheric Sciences and the Doctoral Programme in Geosciences. His research focuses on climate change impacts, microclimate dynamics, and biogeographical processes, particularly in Arctic and boreal ecosystems. Dr. Aalto's research interests center on the complex interactions between climate, geography, and ecological systems. He specializes in microclimate modeling, particularly how fine-scale temperature variations affect ecosystem processes in northern environments. His work examines how forest management practices influence microclimatic conditions and how these conditions, in turn, affect biodiversity and ecosystem resilience. He has made significant contributions to understanding permafrost dynamics, peatland ecosystems, and the impacts of climate change on Arctic and boreal regions. His research often employs high-resolution spatial modeling to reveal patterns that would otherwise remain hidden at broader scales. His recent publications demonstrate a strong focus on practical applications of microclimate research, with several 2024-2025 papers addressing guidelines for microclimate research, temperature buffering capacity in forests, and morpho-ecological states of Arctic peatlands. These works span disciplines including geosciences, ecology, environmental science, and climate policy, with specific attention to sub-fields like permafrost studies, peatland restoration, and climate change adaptation strategies. Dr. Aalto has received recognition for his work, including the Young Scientist award in 2017. His research has attracted funding for multiple projects, including 'Microclimatic heterogeneity diverts Arctic change trajectories' (2019-2022) and 'The influence of forest management on microclimatic heterogeneity - implications for ecosystem resilience' (2021-2024). He has organized and participated in significant conferences, including the Microclimate Ecology and Biogeography conference in 2024. As an active member of the scientific community, Aalto has served on the Finnish Biodiversity Panel (Suomen Luontopaneeli) and contributed to policy recommendations regarding sustainability transitions. His work bridges the gap between fundamental climate science and practical applications for environmental management and policy.

Avram GoldView profile

Professor

• Environmental Chemistry
• Atmospheric Chemistry
• DNA Oxidative Damage
• +3 more

Avram Gold is a Professor at the University of North Carolina Gillings School of Global Public Health, specializing in Environmental Sciences and Engineering. His research spans environmental chemistry, atmospheric science, and toxicology. Harvard University: BA (1963), PhD (1969) Harvard School of Public Health: MS (1973) Research areas include: Synthesis of isotopically labeled standards for mass spectrometry Characterization of mutagenic DNA lesions like 2-iminohydantoin Secondary organic aerosol formation mechanisms from isoprene oxidation Google Scholar publications (2018-2025) reveal trends in: Isoprene-derived organosulfates and epoxides Atmospheric particulate matter analysis Aerosol phase state and ice nucleation Oxidative stress in pulmonary cells Hygroscopicity and viscosity relationships Multiphase chemical kinetics Scientific recognition includes: Fogarty International Fellowship (1986-1987), Strasbourg Collaborates with Jason Surratt's atmospheric chemistry group. Served as synthesis section leader for Superfund Grant's Chemistry and Analytical Core. Research involves structural analysis via heteronuclear NMR and isotope dilution mass spectrometry applications.

Teja KattenbornView profile

Professor

• Remote Sensing
• Environmental Studies
• Geoinformation
• +7 more

Teja Kattenborn serves as Professor for Sensor-based Geoinformatics (geosense) at the University of Freiburg, Germany. With 118 publications, over 95,000 reads, and 7,103 citations, he has established himself as a leading researcher in remote sensing applications for ecological monitoring and environmental assessment. His work bridges advanced technological approaches with fundamental ecological questions, making significant contributions to understanding vegetation dynamics and forest health through innovative remote sensing methodologies. Professor Kattenborn's research focuses on integrating cutting-edge remote sensing technologies with ecological science to monitor plant species distributions, forest health, and ecosystem dynamics. His expertise spans UAV/drone imagery analysis, satellite data interpretation, and deep learning applications for vegetation mapping. He has pioneered methods to extract plant functional traits from spectral data, enabling new approaches to understanding biodiversity patterns and ecosystem responses to climate change. His work demonstrates how advanced computational techniques can transform raw remote sensing data into meaningful ecological insights about plant functioning and community composition. His recent publications reveal a strong emphasis on advancing remote sensing methodologies for ecological applications, particularly using deep learning for fine-grained plant species mapping, monitoring forest dieback and tree mortality at unprecedented scales, and retrieving plant functional traits from diverse remote sensing platforms. His research spans from centimeter-scale UAV applications to global analyses using satellite data, demonstrating both technical innovation and ecological relevance. Notably, his work increasingly addresses climate change impacts on forest ecosystems, particularly drought-induced forest dieback and its cascading effects on ecosystem services. Scientific recognition includes: Best oral presentation at the IAVS Annual Symposium 2019 Best oral presentation at the EARSel SIG Imaging Spectroscopy Workshop 2019 ARCADIS price for Geo- and environmental research Fellowship for UAV-Based beach-profile monitoring system Karl-Steinbuch-fellowship 2013 As principal investigator of the Sensor-based Geoinformatics (geosense) research group, Professor Kattenborn leads multiple collaborative projects, including participation in the ECOSENSE Collaborative Research Centre funded by the German Research Foundation (DFG). His extensive publication record with numerous co-authors across institutions indicates active mentorship of graduate students and postdoctoral researchers, though specific advisees aren't listed in the provided information. His research program appears well-funded through various national and international grants supporting innovative environmental monitoring approaches. The geosense research group develops and applies novel remote sensing techniques for environmental monitoring, with particular strengths in UAV-based systems, deep learning applications, and multi-sensor data fusion. Professor Kattenborn maintains extensive collaborations across Germany and internationally, as evidenced by his diverse publication record spanning European institutions and global research initiatives focused on forest ecology, biodiversity monitoring, and climate change impacts.

Jacob StewartView profile

Associate Professor

• Physical Chemistry
• Laser Spectroscopy
• Atmospheric Chemistry
• +3 more

Jacob Stewart serves as Associate Professor of Chemistry and Assistant Chair of the Chemistry Department at Connecticut College, where he has been a faculty member since 2015. His research program focuses on understanding Earth's atmospheric chemistry through advanced laser spectroscopy techniques, with particular emphasis on biogenic volatile organic compounds (BVOCs). His educational background includes: B.S. from Brigham Young University Ph.D. from the University of Illinois at Urbana-Champaign Postdoctoral Fellowship at Emory University Professor Stewart specializes in physical chemistry, with research centered on developing methods to measure atmospheric molecules using Quantum Cascade Laser (QCL) spectroscopy. His work addresses how naturally occurring compounds emitted by plants—despite their low concentrations—significantly impact climate change and air pollution processes. The Stewart group leverages QCL technology to create new instruments capable of detecting BVOCs at part-per-billion levels, while also providing fundamental molecular property data for theoretical modeling efforts. Analysis of Professor Stewart's publication record reveals consistent contributions to molecular spectroscopy, with a clear trajectory toward increasingly sophisticated atmospheric monitoring techniques. His work spans from fundamental molecular structure analysis to practical instrument development, demonstrating both theoretical depth and applied relevance. Notably, his research consistently involves undergraduate co-authors, reflecting Connecticut College's strong emphasis on hands-on student research experiences. Professor Stewart teaches Analytical Chemistry (214), Chemical Thermodynamics (307), and Chemistry 309 (Atomic and Molecular Structure and Dynamics). His laboratory work benefits from the department's advanced facilities including infrared and UV-Visible spectrophotometers, a 500 MHz NMR spectrometer, and specialized laser systems. His mentorship of undergraduate researchers has resulted in numerous co-authored publications, providing students with research opportunities typically reserved for graduate programs at larger institutions.