جست‌وجوی استاد و پژوهشگر

Paul Stoyمشاهده پروفایل

استاد

• Surface-atmosphere exchange
• Ecosystem ecology
• Natural resource management
• +۳ مورد دیگر

Paul Stoy is a Professor in the Department of Biological Systems Engineering at the University of Wisconsin–Madison, affiliated with the Nelson Institute for Environmental Studies and the Center for Climatic Research. He holds a B.A. in Zoology and Botany (2001, UW-Madison) and a Ph.D. in Ecology (2006, Duke University). His research focuses on surface-atmosphere exchanges, ecosystem ecology, and natural resource management, with emphasis on climate-vegetation interactions, hydrological cycles, and remote sensing applications. Recent work includes partitioning evaporation/transpiration, monitoring terrestrial carbon fluxes via satellites, and optimizing agricultural water management. He holds prestigious awards like the Clarivate Analytics Highly Cited Researcher (2018) and Humboldt Research Fellowship. Active grants include NSF-funded studies on ecosystem management impacts on precipitation dynamics and forest function under climate change. Dr. Stoy collaborates internationally, advancing climate solutions through bench-scale flux benchmarks and geostationary satellite data integration. Education: B.A. Zoology/Botany (UW-Madison 2001); Ph.D. Ecology (Duke 2006). Research highlights include drought mechanisms in Great Plains ecosystems, crop coefficients for cereal crops, and ozone uptake in agroecosystems. His work bridges field measurements (flux towers) with satellite remote sensing to address global climate challenges.

Shuai Wangمشاهده پروفایل

استادیار

• Cyclone
• Climate Modeling
• Extreme Weather
• +۱ مورد دیگر

Shuai Wang is an Assistant Professor and Director of the Meteorology & Climate Science Undergraduate Program at the University of Delaware's Department of Geography and Spatial Sciences, within the College of Earth, Ocean & Environment. His expertise lies in tropical cyclones, climate modeling, extreme weather events, and climate service applications. Education: Ph.D. in Atmospheric Science, Imperial College London (2017) M.S. in Meteorology, Ocean University of China (2013) B.S. in Atmospheric Science, Ocean University of China (2011) His research focuses on understanding tropical cyclone dynamics, including rapid intensification, landfall impacts, and climate change influences on cyclone behavior. He employs numerical simulations, observational data (e.g., wave gliders), and advanced modeling frameworks to analyze cyclone structure, outer size expansion, and coastal vulnerability. Recent work emphasizes projections of cyclone spatial distribution under future climate scenarios and the compound flood risks posed by cyclones in coastal regions like Shanghai. His publications highlight advancements in forecasting methodologies (e.g., cascaded diffusion models), ocean-atmosphere interactions, and the socio-environmental implications of cyclone-related hazards. These studies underscore the growing urgency of integrating climate science into disaster preparedness and coastal management strategies. Scientific Awards: None explicitly listed in the provided materials. Advising & Grants: No specific student advisees or grant details provided in the text. Labs/Teams: Not specified in the current profile information.

• Theoretical Physics
• Nuclear Physics
• Astrophysics
• +۴ مورد دیگر

Constance Mendes Pinheiro is a Full Professor at the University of Coimbra's Faculty of Science and Technology, Department of Physics. She has held leadership roles including Director of the Rómulo Science Center (2022–current) and Director of the Physics Department (2019–2023). Her academic career includes a PhD in Theoretical Physics from the University of Oxford (2002) and degrees from the University of Coimbra. She is a member of the Scientific Council of the University of Coimbra and the Steering Committee of the COST Action CA16214 on multi-messenger physics of neutron stars. Her research focuses on dense matter physics, neutron star structure, and quark-gluon plasma dynamics. Key areas include equation of state modeling under extreme conditions, magnetic field effects in stellar matter, and dark matter interactions with compact stars. She has led numerous grants addressing neutron star properties, supernova dynamics, and QCD phase transitions. Recent work applies machine learning to decode neutron star observations and Bayesian methods to constrain nuclear matter parameters. Her studies explore hybrid stars, magnetized quark matter, and universality relations in compact star physics. Over 100 publications span topics like pasta phases in neutron star crusts, hyperon contributions, and gravitational wave astronomy implications.

Judith L. Provencalمشاهده پروفایل

دانشیار

• Asteroseismology
• Stellar Evolution
• White Dwarf Stars
• +۵ مورد دیگر

Judith L. Provencal is an Associate Professor of Instruction in the Department of Physics & Astronomy at the University of Delaware, affiliated with the College of Arts & Sciences. She also serves as Director of the DE Asteroseismic Center and is a Resident Astronomer at the Mt. Cuba Astronomical Observatory. Dr. Provencal earned her Ph.D. from the University of Texas and a B.A. from Smith College, joining UD in 1994 as a postdoc under Dr. Harry Shipman. Her research focuses on asteroseismology of pulsating white dwarfs, using stellar pulsations to map interiors and study extreme astrophysical conditions. Key areas include convection processes, rotational dynamics, and the connection between mass loss and magnetic fields. She has pioneered long-term observational campaigns spanning decades, such as the G29-38 pulsation study, and contributed to blazar flare mechanics via optical monitoring. Provencal’s work bridges stellar evolution with galactic history, exploring white dwarfs as probes of planetary system evolution and chemical enrichment. Her observational expertise spans ground-based telescopes (e.g., Mt. Cuba Observatory) and space missions like Kepler/TESS. Collaborations include Whole Earth Telescope campaigns for multi-site pulsation monitoring. Her research emphasizes empirical constraints on theoretical models, particularly in convection parameterization and crystallization processes in white dwarf cores. She actively participates in open cluster studies and has contributed to disentangling asteroid debris signatures around white dwarfs.

Cüneyt F. Bazlamaçcıمشاهده پروفایل

استاد

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +۵ مورد دیگر

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

• Electrochemical Energy Storage
• Aluminum Batteries
• Ionic Liquids
• +۳ مورد دیگر

Theresa Schoetz is an Assistant Professor in the Department of Chemical and Biomolecular Engineering at the University of Illinois. Her research focuses on electrochemical energy storage systems, with a particular emphasis on aluminum batteries, ionic liquid electrolytes, and charge storage mechanisms. She has contributed to advancements in solid polymer electrolytes, low-temperature battery technologies, and the elucidation of electrochemical interface dynamics. Her work integrates experimental and analytical techniques, including NMR spectroscopy and operando electrochemistry, to understand material behavior in energy storage devices. Key research interests include: 1) Design of novel electrolytes for high-capacity aluminum batteries, 2) Development of flexible nanocellulose-based electrodes, 3) Mechanistic studies of charge storage in batteries and supercapacitors, and 4) Optimization of battery performance at extreme temperatures. Her interdisciplinary approach bridges material science, electrochemistry, and device engineering to address challenges in sustainable energy systems. Dr. Schoetz has been recognized with the POLiS Award of Excellence for Female Researchers (2024) for her contributions to electrochemical energy storage research. Her work has been widely cited, with notable publications in Advanced Energy Materials and ACS Applied Materials and Interfaces , and her research has attracted attention from both academic and industrial sectors. Her lab focuses on translating fundamental electrochemical discoveries into practical energy storage solutions, emphasizing collaboration across disciplines. Current projects include next-generation aluminum batteries, low-temperature energy storage systems, and advanced characterization techniques for battery materials.

Manisha Calebمشاهده پروفایل

مدرس ارشد

• Radio Transients
• Fast Radio Bursts
• Neutron Stars
• +۱ مورد دیگر

Manisha Caleb is a Senior Lecturer in Astrophysics at the University of Sydney and Discovery Early Career Researcher Award Fellow specializing in radio transients, particularly fast radio bursts. She collaborates with major telescope facilities including MeerKAT and ASKAP to study long-period radio transients. Education background: PhD in Astronomy and Astrophysics focusing on Fast Radio Bursts from Australian National University Masters in Spacecraft Technology and Satellite Communications from University College London Her research investigates anomalous cosmic radio emissions, neutron star behavior, and the development of observational techniques for detecting transient phenomena. Current projects examine extreme rotational periods in stellar objects and their implications for astrophysical models. Recent publications analyze slow-rotating cosmic objects challenging existing stellar classification frameworks. Her team's discovery of a 6.5-hour rotation period pulsar with bi-polar emissions has prompted reevaluation of neutron star evolution theories. Honors include: Discovery Early Career Researcher Award from Australian Research Council

Sabyasachi Senمشاهده پروفایل

استاد

• Amorphous Materials
• Ceramics
• Materials Science
• +۶ مورد دیگر

Sabyasachi Sen is the Blacutt-Underwood Distinguished Professor of Materials Science and Engineering at the University of California, Davis. His research focuses on structural and dynamical characterization of amorphous and crystalline materials, including glasses, ceramics, and glass-forming liquids. His work integrates spectroscopic, electrical, and rheological techniques to explore material behavior in photonics, energy storage, and remote sensing applications. Key research interests include amorphous materials, ceramics, rheology, and NMR spectroscopy-based techniques. His studies address structural relaxation, ionic conductivity, and material fragility across oxide, chalcogenide, and molecular glass systems. Sen has contributed to understanding mixed-alkali effects, physical aging, and nanoconfined liquid dynamics. Developed predictive models for material processing and technological applications. Investigated supercooled liquids' thermodynamic and kinetic properties. Explored novel adsorbents for environmental remediation using graphitic carbon nitride. Sen has been recognized with the 2020 Otto Schott Research Award and holds the Blacutt-Underwood Distinguished Professorship. His lab focuses on advancing functional materials science through interdisciplinary approaches.

Stijn Lucaمشاهده پروفایل

استادیار

• Extreme Value Statistics
• Spatial Statistics
• Statistical Quality Control
• +۵ مورد دیگر

Stijn Luca is an Assistant Professor at Ghent University's Faculty of Bioscience Engineering, Department of Data Analysis and Mathematical Modelling. He heads the BIOSTAT research unit, focusing on statistical data analysis theory and methods with applications in life sciences, environmental monitoring, and industrial engineering. His primary research interests include extreme value statistics, spatial statistics, and statistical quality control. Luca applies these methods to diverse areas such as species distribution modelling using citizen science data, industrial process monitoring, and mobile health (mhealth) for continuous patient monitoring. His work bridges theoretical statistics with practical challenges in environmental and health domains. Recent publications (2022-2025) highlight a strong emphasis on health monitoring systems (e.g., pain prediction, battery health) and environmental applications (e.g., habitat management using satellite data). Key methodological themes involve extreme value theory for anomaly detection and spatial statistics for ecological modeling. Leading the BIOSTAT research unit, Luca directs a team that develops innovative statistical solutions for complex data problems, fostering collaborations across academia and industry.

Runzi Wangمشاهده پروفایل

استادیار

• Environmental Planning
• Water Quality Modeling
• GIS and Remote Sensing
• +۴ مورد دیگر

Runzi Wang is an Assistant Professor in the Department of Landscape Architecture + Environmental Design at the University of California, Davis. Their research focuses on transdisciplinary approaches to urban and agricultural watershed management, integrating machine learning, GIS, and social science methods. Key areas include water quality modeling, green infrastructure design, and the impacts of climate change on ecosystems. Education: Ph.D. in Planning, Design and Construction, Michigan State University (2020) Master of Science in Landscape Architecture, Peking University (2013) Bachelor of Engineering in Architecture, Shandong University (2011) Research Interests: Dr. Wang's work spans three core themes: (1) large-scale water quality modeling using big data and ML; (2) green stormwater infrastructure design to mitigate urban runoff; (3) analyzing interactions between urbanization, agriculture, and climate change on water ecosystems. Recent projects include causal inference studies on water quality and equity analyses of urban green spaces using Bayesian quantile regression. Publications Trends: Recent articles emphasize geospatial AI, environmental justice in water quality, and causal modeling of anthropogenic impacts. Notable work includes PFAS prediction frameworks and E. coli dynamics under extreme rainfall. Grants & Labs: While specific grants aren't listed, their research often involves collaborative projects on environmental systems. Active engagement with interdisciplinary teams addresses real-world challenges in landscape design and environmental planning.

Vali Asimitمشاهده پروفایل

استاد

• Actuarial Science
• Risk Modelling
• Insurance Mathematics
• +۵ مورد دیگر

Vali Asimit is a Professor of Actuarial Analytics at Bayes Business School, City, University of London. He holds roles including Associate Editor of the Insurance: Mathematics and Economics journal, IFoA Module Leader for CS2 (Risk Modelling and Survival Analysis), and Founding Course Director of the MSc Business Analytics and BSc Business Analytics programs. His research focuses on optimal risk sharing, robust decision-making, and statistical extremes in actuarial science. Education: PhD (2007) and MSc (2003) in Actuarial Science from the University of Western Ontario, Canada. Postdoctoral Fellow at the University of Toronto (2008). Research Interests: His work spans actuarial analytics, risk modeling, and insurance mathematics, with contributions to robust machine learning, optimization techniques, and extreme value theory. Key areas include optimal reinsurance design, risk aggregation, and systemic risk evaluation. Publications: Over 40 peer-reviewed articles in top journals like Insurance: Mathematics and Economics , European Journal of Operational Research , and Risks . Recent work emphasizes machine learning applications in insurance and robust statistical methods. Awards: 2010 Fortis Chair Award for best paper in Insurance Mathematics and Economics, and recognition from K.U.Leuven. Advising & Grants: Supervised PhD students including Junlei Hu (now at the University of Essex) and Runshi Wang. Secured Innovate UK grants for projects like the Fintuity Virtual Adviser. Engaged in academic leadership through program coordination and editorial roles. Professional Contributions: Consulted for government bodies (NHS Resolution, Government Actuary's Department) and industry (Moody’s Climate on Demand Pro system). Active in curriculum development and international academic networks.

Michael Barnesمشاهده پروفایل

پژوهشگر ارشد

• Dynamical meteorology
• Synoptic-scale atmospheric dynamics
• Rossby waves
• +۵ مورد دیگر

Michael Barnes is a Research Fellow at the ARC Centre of Excellence for 21st Century Weather , located within the School of Earth, Atmosphere and Environment at Monash University , Australia. He is currently accepting PhD students and serves as an Associate Editor for the Monthly Weather Review . Education: PhD in Meteorology, University of Pretoria Research Interests: Michael’s work centres on synoptic-scale atmospheric dynamics , with particular emphasis on Rossby-wave breaking , extratropical cyclones , cut-off lows and subtropical rainfall . His investigations improve understanding of extreme weather and underpin better prediction of high-impact events over Australia and southern Africa. Publications trend: Across 11 peer-reviewed articles (2019-2023) his research spans dynamical meteorology, heavy-rainfall mechanisms, sea-ice forecasting and regional climate modelling, showcasing a blend of theoretical idealised modelling and operational evaluation. International service: Member, WMO WWRP Working Group on Prediction, Dynamics & Ensemble Forecasting (PDEF) Past METAREA VII Coordinator, WMO WWMIWS committee (Dec 2019 – Feb 2022) Editorial role: Associate Editor, Monthly Weather Review .

Arthur DeGaetanoمشاهده پروفایل

استاد

• Applied Climatology
• Climate Data Dissemination
• Climate Variability
• +۵ مورد دیگر

Arthur DeGaetano is a Professor and Director of Undergraduate Studies in Atmospheric Sciences at Cornell University's Department of Earth and Atmospheric Sciences, part of the College of Agriculture and Life Sciences (CALS). He leads the Northeast Regional Climate Center (NRCC), which disseminates climate data to regional stakeholders. His research focuses on applied climatology, including climate impacts on agriculture, extreme weather analysis, and climate adaptation strategies. He holds a Ph.D. from Rutgers University (1989) and has authored over 100 peer-reviewed articles. Key achievements include developing soil freezing models and drought forecasting tools. Awards include the 2018 ASHS Outstanding Extension Publication Award. He teaches courses on global warming and meteorology, emphasizing undergraduate education in atmospheric sciences. Education: Ph.D. in Climatology and Horticulture, Rutgers University, 1989 Research Interests: Climate data quality, extreme precipitation trends, freeze risk modeling for agriculture, and climate services for decision-making. His work bridges academia and practical applications, such as improving building codes and agricultural practices through climate data. Awards and Outreach: ASHS Outstanding Extension Publication Award (2018) Director of NRCC, a federal climate data hub Editor for the American Meteorological Society's Journal of Applied Meteorology and Climatology Grants and Labs: Involved in projects like the Climate Explorer tool and the Climate Change Indicators for Agriculture. Collaborates with stakeholders on adaptation strategies for New York State's climate challenges.

Norhan Bayomiمشاهده پروفایل

پژوهشگر ارشد

• Climate Change Science
• Urban Metabolism
• Built Environment
• +۳ مورد دیگر

Norhan Bayomi is a Research Fellow at the MIT Environmental Solutions Initiative and a Research Assistant in the Urban Metabolism Group. She holds a BSc in Architecture from Cairo University, an MSc in Building Technology from MIT (2017), and a PhD from the same program (2021). Her research integrates climate science, urban design, and technology to address climate change impacts in developing regions. Her work focuses on assessing health risks from urban heat exposure and leveraging aerial technology and AI for adaptive building and urban design strategies. Research domains include remote sensing, thermal anomaly detection, and climate vulnerability quantification. Recent publications demonstrate strong emphasis on drone-based thermal imaging, machine learning applications for infrastructure diagnostics, and climate risk modeling. Her work consistently bridges computational methods with urban sustainability challenges. She is affiliated with the Urban Metabolism Group, which investigates resource flows in urban systems to enhance resilience under climate stressors.

Michael Durandمشاهده پروفایل

استاد

• Land Surface Hydrology
• Snow Hydrology
• Remote Sensing
• +۲ مورد دیگر

Michael Durand is Professor and Associate Director for Graduate Students in the Department of Geography at Ohio State University. His research group studies land surface hydrology processes using spaceborne remote sensing, with specializations in snow hydrology and fluvial hydrology. Research examines connections between snowmelt runoff patterns and physiographic factors, snow microstructure effects on measurements, and river discharge estimation from spaceborne data. Current projects include analyzing process-level connections between snowmelt runoff and landscape controllers, investigating snow microstructure impacts on remote sensing, and developing methods to estimate river discharge from satellite observations. Funding comes from NSF, NASA, USGS, and university programs. Recent publications focus on advancing satellite-based hydrological monitoring through improved discharge estimation techniques, snow water equivalent retrieval methods, and error analysis frameworks. Work contributes to global river analysis and water resource management.