جست‌وجوی استاد و پژوهشگر

Ramesh Giriمشاهده پروفایل

استاد

• Organic Chemistry
• Organometallic Chemistry
• Catalysis
• +۳ مورد دیگر

Ramesh Giri is a Professor of Chemistry at Pennsylvania State University, affiliated with the Department of Chemistry. His research focuses on organic, organometallic, and sustainable chemistry, particularly in developing novel catalytic reactions and materials using late transition metals. He holds a PhD from The Scripps Research Institute (2009) and postdoctoral training at UC Berkeley and UIUC (2012). His honors include the NIH MIRA Award (2019) and NSF CAREER Award (2016). Research interests include alkene difunctionalization, electrocatalysts for renewable fuels, and C-H activation. The Giri Lab emphasizes sustainable methodologies and has pioneered strategies like bimetallic catalysis and ligand-enabled transient metallacycle stabilization. Notable publications span J. Am. Chem. Soc. and Angew. Chem. Int. Ed. , highlighting innovations in nickel-catalyzed cross-couplings and photoredox systems. His group actively mentors graduate and undergraduate students, with recent alumni advancing to roles in academia and industry. Awards include the Theme Chemistry Journals Award (2016) and Myron Rosenblum Fellowship (2006). Grants include NSF CAREER funding for sustainable catalysis development. Labs/Teams: Giri Research Group focuses on cross-disciplinary projects at the chemistry/materials interface, with ongoing efforts in renewable energy materials and drug synthesis.

Bernard Grodzinskiمشاهده پروفایل

استاد مدعو

• Photosynthesis
• Plant Productivity
• C-partitioning
• +۵ مورد دیگر

Bernard Grodzinski is a retired Professor and Adjunct Professor in Plant Agriculture at the University of Guelph. He specializes in plant physiology, particularly photosynthesis and carbon partitioning, with a focus on applications in controlled environments like space agriculture and commercial greenhouses. His research integrates plant biology, environmental science, and engineering to optimize plant productivity. Dr. Grodzinski holds a Ph.D. from York University and is affiliated with the SALSA (Space and Life Support Agriculture) team, collaborating with NASA’s Kennedy Space Centre and the European Space Agency (ESA). His work addresses challenges in sealed environments, including CO₂ scrubbing, O₂ production, and water purification using plants as bioregenerative systems. Key research themes include: (1) Photosynthetic efficiency under varied light conditions, (2) Non-invasive disease detection via gas exchange profiling, and (3) LED lighting optimization for crop production. He has pioneered methods to quantify carbon export and growth using whole-plant gas exchange analysis. Recent publications emphasize LED spectral effects on tomato and cucumber yields, circadian rhythm entrainment, and thylakoid structure-function relationships. His interdisciplinary approach bridges plant biology with aerospace and agricultural engineering. Dr. Grodzinski has led grants exploring light interception strategies, hydroponic disease control, and plant stress responses. The SALSA team’s work supports both space missions and terrestrial greenhouse industries through sustainable crop systems. He is a co-developer of the Leafweb dataset and has contributed to advancements in 3D plant phenotyping using computer vision. His legacy includes over 150 peer-reviewed publications and innovations in controlled environment agriculture.

Peter Blankenمشاهده پروفایل

استاد

• Climatology
• Biometeorology
• Water Cycling
• +۵ مورد دیگر

Peter Blanken is a Professor of Geography at the University of Colorado, specializing in Climatology and Biometeorology within the Faculty of Hydrologic Sciences. He holds a PhD from the University of British Columbia (1997) and maintains an active research program focusing on water and carbon cycling at the Earth's surface across diverse ecosystems including lakes, wetlands, alpine tundra, forests, and grasslands. Dr. Blanken's primary research investigates how environmental changes affect physical processes regulating water and carbon cycling. His methodology combines field observations with modeling and remote sensing techniques. Notably, he leads research on the Great Lakes Evaporation Network, a long-term binational collaboration, and has conducted field work on Lake Michigan and Lake Superior. His research extends beyond traditional biometeorology to include studies on how people recall and perceive past meteorological events, examining the accuracy of climate memory compared to actual observations. His recent publications demonstrate a strong focus on subalpine forest ecosystems, energy-water interactions, snow dynamics, and carbon cycling. The work shows increasing integration of novel measurement techniques including GNSS technology, eddy covariance systems, and remote sensing approaches to address complex questions about ecosystem responses to environmental change. His research has particular relevance to understanding climate change impacts on water resources in mountainous regions. Dr. Blanken actively mentors graduate students including Bella Kamplain, Maddy Rich, Holly Roth, and Nic Tarasewicz. He has taught numerous courses including Principles of Climate, Biometeorology, and Mountain Geography. His additional research interest in educational pedagogy examines how class size affects teaching quality and student performance through statistical analysis of evaluations and faculty/student interviews.

• Agroecosystems
• Soil Carbon and Nitrogen Cycling
• Hydrologic and Nutrient Cycling Modeling
• +۲ مورد دیگر

Dr. Armen R. Kemanian is a Professor in the College of Agricultural Sciences at Pennsylvania State University, specializing in Agroecosystem Modeling and Environmental Biophysics . His research integrates soil carbon/nitrogen cycling , plant ecophysiology , and decision support tools across farm-to-landscape scales. Ph.D. in Biological Systems Engineering, Washington State University (2003) B.S. in Agronomy, Universidad de la República, Uruguay (1997) Research interests focus on agroecosystem resilience , climate change adaptation , and sustainable biomass production , with recent work on Cycles-L model development and nuclear winter agricultural impacts . He teaches Plant Ecology (HORT445), Environmental Biophysics (AEPS597), and Agroecosystem Modeling (Agronomy 597B). Recent publications address: 3D landscape-scale hydrologic-agroecosystem coupling Cover crop interseeding tradeoffs in maize systems Climate catastrophe adaptation strategies Soil moisture thresholds for plant stress His work bridges fundamental ecological research with applied agricultural policy through: Integrated assessment models Multidisciplinary team collaborations Development of decision support frameworks

• Biogeochemistry
• Soil Science
• Climate Change
• +۹ مورد دیگر

Kees Jan van Groenigen is an Associate Professor of Geography at the University of Exeter, specializing in biogeochemistry and soil science. He holds a dual role as Guest Professor at Nanjing Agricultural University, focusing on sustainable rice cropping systems. His research integrates experimental and meta-analytical approaches to study carbon and nutrient cycles, soil microbial ecology, and climate change impacts on ecosystems. Key affiliations include the Global Systems Institute at the University of Exeter. Education: MSc in Soil Science, Wageningen University PhD in Environmental Sciences, Wageningen University Research Interests: Soil biogeochemistry and microbial processes Climate change mitigation in agricultural systems Carbon sequestration potential and limitations Methane and nitrous oxide emissions from rice paddies Meta-analysis of global ecological datasets Grants & Advising: Spearheads projects on sustainable rice cultivation and soil management Leads interdisciplinary teams addressing agricultural environmental impacts Active in securing grants for climate-smart agroecosystems research Labs/Teams: Collaborates with the Global Systems Institute and international partners on soil-climate interactions.

• Nano- and micro-particle transport
• Surface interactions in porous media
• Trace element biogeochemistry
• +۵ مورد دیگر

William Johnson is a Professor in the Department of Geology & Geophysics at the University of Utah's College of Engineering, with a 30-year track record in colloid transport research and trace element biogeochemistry. He directs advanced facilities including ICP-MS and light scattering laboratories while maintaining active collaborations in environmental engineering, hydrology, and contaminant dynamics. Current research focuses on multi-scale colloid transport mechanisms in porous media Investigates mercury and selenium cycling in aquatic systems like Great Salt Lake Develops groundwater remediation strategies for mining-impacted environments His recent publications demonstrate theoretical advances in colloid filtration theory, including interception history models and nanoscale heterogeneity impacts. Over $5M in research grants from NSF, EPA, and state agencies support his work on contaminant transport, with particular emphasis on mercury isotope tracing and polymer-modified remediation materials. Mentoring 12 PhD and 34 MSc students, he maintains active teaching roles in graduate geochemistry and contaminant hydrology courses. Fundamental contributions to non-exponential transport behavior Established mercury source apportionment frameworks for saline lakes Developed lateral channel filtration for placer mining mitigation His research website (www.wpjohnsongroup.utah.edu/research.html) provides additional details about current projects and instrumentation capabilities.

Rafael de Andrade Moralمشاهده پروفایل

استاد

• Statistical Modelling
• Ecology
• Wildlife Management
• +۳ مورد دیگر

Rafael de Andrade Moral is a Professor of Statistics at Maynooth University's Faculty of Science & Engineering (since 2025), with prior roles as Associate Professor (2023-2025) and Assistant Professor (2018-2023). He holds a PhD in Statistics (University of São Paulo, 2014-2017) and dual bachelor's degrees in Biology and Education. His work bridges Statistical Ecology , Computational Biology , and Data Science , focusing on modeling ecological systems, agricultural pest dynamics, and biodiversity-ecosystem function relationships. Key research themes include Bayesian modeling , multivariate ecological forecasting , and machine learning applications . He founded the Theoretical and Statistical Ecology Research Group and serves on committees like the Young-ISA Chair . His recent articles span topics like insect abundance forecasting , weed-crop competition under climate change , and neuroinformatics-based learning analysis , reflecting interdisciplinary engagement. Scientific accolades include the Young Statistician Showcase Prize (2018), A-mu-sing Competition First Place (2021), and Maths Week Award (2022). He has advised three PhD students and contributed to over 50 peer-reviewed publications. Active in teaching innovation (e.g., Teaching Statistics through Music ), he also provides statistical consultancy to organizations like NIBIO and Jomakol .

Van Savageمشاهده پروفایل

استاد

• Computational biology
• Ecological theory
• Metabolic scaling theory
• +۵ مورد دیگر

Van Savage, Ph.D. , is a full-time Professor at the University of California, Los Angeles, jointly appointed in the Department of Computational Medicine (David Geffen School of Medicine) and the Department of Ecology and Evolutionary Biology (College of Life Sciences). His research sits at the intersection of ecology, systems biology, biophysics and computational medicine, with a central focus on how scaling laws, metabolic constraints and temperature shape biological processes from molecules to ecosystems. His work leverages theoretical ecology and large-scale data to understand climate-change impacts on vector-borne diseases such as malaria, dengue and Zika, to elucidate the structure and energy efficiency of neuronal and vascular networks, and to develop predictive frameworks that link organismal traits to ecosystem dynamics in the Anthropocene. Research Themes Temperature dependence of biological interactions and disease transmission Metabolic scaling theory across plants, microbes and animals Network architecture of neurons, blood vessels and ecological food webs Antibiotic resistance evolution under thermal stress Trait-based forecasting of ecosystem resilience to global change Recent Publication Trends Across 2023-2025, Savage’s articles emphasize four converging areas: (1) nonlinear temperature effects on vector-borne disease incidence, (2) scaling and energetic constraints in neural and vascular networks, (3) eco-evolutionary dynamics in microbial communities and plankton, and (4) advanced theoretical frameworks for predicting higher-order ecological interactions under multiple stressors including antibiotics and climate warming. Laboratories & Teams He leads an interdisciplinary group that combines computational modeling with empirical data from remote sensing, laboratory microbial experiments and field ecology, facilitating cross-cutting collaborations between medical school, life sciences and climate-science communities at UCLA.

Sylvain Delagrangeمشاهده پروفایل

استاد

• Functional ecology
• Remote sensing and modeling
• Intensive forestry
• +۷ مورد دیگر

Sylvain Delagrange is a Professor in the Department of Natural Sciences at the University of Quebec in Outaouais (UQO) and a Professor, Researcher, and Project Manager at the Institute of Temperate Hardwood Forest Sciences (ISFORT). He is also recognized as a Regular Researcher in Applied Forest Ecology and Ecophysiology at the Center for Forest Research (CEF). His academic journey includes a dual PhD in Biological Sciences (2004, UQAM) and Forest Ecology and Ecophysiology (2004, UHP-Nancy-I), along with postdoctoral training in sugar maple tree modeling and tropical tree ecophysiology. Dr. Delagrange's research primarily focuses on plant functional traits and their adaptive capacities, with expertise spanning plant ecophysiology and phenology, 3D tree architecture analysis, silvicultural impacts on biodiversity, and urban forest ecosystem services. His recent work has increasingly examined plant-animal relationships in biodiversity conservation contexts. His research employs a combination of field studies, remote sensing, and modeling approaches to address pressing questions in forest ecology and climate change adaptation. Analysis of his recent publications (2022-2025) reveals a strong emphasis on sugar maple phenology under climate change, urban forest resilience, and the physiological mechanisms underlying tree responses to environmental stressors. His work bridges fundamental ecological questions with practical applications for sustainable forest management and urban forestry. René-Pomerleau Award for Excellence in Research (SIAQ), 2025 Canadian emblem of the coronation of King Charles III (Federal Government), 2023 Dr. Delagrange actively advises graduate students and has supervised numerous Master's and PhD candidates to completion. His research group includes current postdocs, Master's students, and collaborations with researchers across Canada and internationally. His lab focuses on applied forest ecology research with strong connections to practical forestry and urban tree management challenges.

• Climate Science
• Wildfire Research
• Drought Studies
• +۵ مورد دیگر

Mário Gonzalez Pereira is an Assistant Professor in the Department of Physics at the School of Science and Technology, University of Trás-os-Montes and Alto Douro (UTAD), Portugal. He has been continuously employed at UTAD since 1994, progressing from Junior Teaching Assistant to Assistant Professor in 2005, where he remains active in research and teaching. His educational background includes a PhD (2005), MSc (1998), and Licenciatura (1993) in Physics from Universidade de Lisboa. His research spans climate science, wildfire dynamics, drought assessment, and environmental physics, with particular focus on Portugal and Southern Africa. Pereira's publication record reveals strong emphasis on climate-fire relationships, drought monitoring using remote sensing, and climate change impacts on ecosystems. His recent work shows increasing focus on machine learning applications for wildfire prediction and interdisciplinary approaches combining meteorology, ecology, and agriculture. The research demonstrates consistent funding support and international collaboration, particularly with researchers from Portugal, Spain, and Southern Africa. He has served as principal investigator or team member on 13 research grants funded by Fundação para a Ciência e a Tecnologia, including projects on wildfire prediction (FLAIR), drought assessment, forest fire dynamics, and climate change impacts on agriculture. His work connects with CITAB (Centre for the Research and Technology of Agro-Environmental and Biological Sciences) and other research networks. Pereira actively contributes to the scientific community through extensive peer review activities across 15 journals, including Agricultural and Forest Meteorology, Climate, International Journal of Wildland Fire, and others. His expertise is sought in multiple disciplines reflecting his interdisciplinary approach to environmental challenges.