جستجوی استاد راهنمای دانشگاهی

Hachem Kassemمشاهده پروفایل

مدرس

• Coastal Engineering
• Environmental Geoscience
• Hydrodynamics
• +۵ مورد دیگر

Hachem Kassem is a Lecturer in Ocean Engineering at the University of Southampton, affiliated with the School of Ocean and Earth Science. He specializes in coastal hydrodynamics, sediment dynamics, and nature-based solutions to climate-mediated geohazards. His current roles include leading the MSc Programme in Applied Coastal and Offshore Geoscience and managing coastal research laboratories equipped with flumes and sediment analysis facilities. Education and Career: Hachem holds a PhD and MSc in relevant fields, and has been a Fellow of the Higher Education Academy (FHEA). His career includes: 2022–present: Lecturer in Ocean Engineering, University of Southampton 2017–2021: Teaching and Research Fellow in Coastal Morphodynamics 2015–2017: Part-time Teaching Fellow in Coastal Morphodynamics and GIS 2010–2012: Lecturer in Civil Engineering at The London College Research Interests: Focus on coastal engineering, flow-structure interactions, and adaptive solutions for hazards like erosion and flooding. Key projects include Environment Agency-funded work in Pevensey Bay using X-band radar and autonomous systems, and collaborations on eco-reefs and subsea cable protection with industry partners. Teaching: Coordinates modules on coastal sediment dynamics and applied oceanography. Contributes to geoscience curricula and supervises student projects on coastal processes and engineering. External Roles: Serves as consultant for projects involving scour protection, seagrass health, and tidal interactions at nuclear sites. Leads the Nature-based Ocean Solutions Special Interest Group under the Southampton Marine and Maritime Institute. Labs & Infrastructure: Oversees coastal teaching/research labs with flumes and field monitoring equipment. Collaborates on geospatial data projects for nature-based solutions in Studland Bay.

Markus Meierمشاهده پروفایل

استاد

• Physical Oceanography
• Climate Modeling
• Biogeochemical Cycles
• +۵ مورد دیگر

Prof. Markus Meier is a leading academic in physical oceanography and climate modeling, affiliated with the Leibniz Institute for Baltic Sea Research (IOW) and the University of Rostock. He holds a professorship at Rostock and leads the Department of Physical Oceanography at IOW. His work focuses on numerical modeling of the Baltic and Arctic Seas, climate change impacts, and biogeochemical cycles. Key roles include Head of the Oceanographic Research Unit (2006–2015) and adjunct professorships at Stockholm University (2006–2015). Education highlights include a Ph.D. in theoretical oceanography from the University of Kiel (1996) and extensive postdoctoral research at the Rossby Centre (SMHI). His research spans sea ice modeling, saltwater inflows, and hypoxia dynamics, with a focus on regional climate system interactions. Key research interests include: numerical ocean modeling, climate variability, Baltic Sea ecosystem dynamics, and deoxygenation processes. Recent studies address future climate projections, marine heatwaves, and the impact of anthropogenic and natural drivers on marine systems. Publications highlight contributions to understanding Baltic Sea oxygen depletion, Atlantic climate influences, and coupled climate system modeling. He chairs major initiatives like Baltic Earth, advancing interdisciplinary Earth system research in the region.

Luke D. Truselمشاهده پروفایل

دانشیار

• Climate Variability and Change
• Ice Sheet Dynamics
• Polar Research
• +۳ مورد دیگر

Luke D. Trusel is an Associate Professor of Geography at Pennsylvania State University, affiliated with the Institute for Computational and Data Sciences (ICDS) and the Penn State Ice and Climate Research Center (PSICE). He directs the CryoLab unit, focusing on ice sheet dynamics and climate change impacts. Trusel's research integrates remote sensing, ice core data, and climate models to study surface mass balance, hydrological processes, and ice-ocean-atmosphere interactions in Antarctica and Greenland. His work addresses how these systems respond to historical and future climate scenarios, with recent findings highlighting unprecedented ice sheet melting and ice shelf vulnerability. Trusel earned his PhD in Geography from Clark University (2014) and held prior roles at Rowan University and Woods Hole Oceanographic Institution. His research is funded by NSF and NASA, with publications in Nature journals and media coverage in The New York Times and National Geographic . He leads projects like ISMIP7 and ISMIP6, focusing on ice sheet modeling and sea level projections. Current research priorities include supraglacial lake monitoring via deep learning and understanding atmospheric river impacts on Antarctic climate. His lab seeks graduate students with expertise in remote sensing, machine learning, and ice sheet dynamics. Ongoing work includes funded projects on NASA’s Cryospheric Science Program and contributions to the Ice Sheet Model Intercomparison Project (ISMIP7).

Edwin P. Gerberمشاهده پروفایل

استاد

• Climate Variability
• Climate Change
• Atmospheric Dynamics
• +۳ مورد دیگر

Edwin P. Gerber is a Professor of Mathematics and Atmosphere/Ocean Science at New York University’s Courant Institute of Mathematical Sciences. He holds joint affiliations with the Department of Environmental Studies and the Center for Data Science. His research focuses on understanding climate variability and dynamics, particularly the role of stratosphere-troposphere interactions and simplified climate models. Gerber earned his Ph.D. in Applied and Computational Mathematics from Princeton University (2006), following an M.A. (2002) and B.S. in Mathematics and Chemistry from the University of the South (2000). His work bridges theory and Earth System models, investigating topics like the Brewer-Dobson Circulation, sudden stratospheric warmings, and ozone layer dynamics. Key achievements include the DynVarMIP initiative for CMIP6 and contributions to gravity wave parameterization. Gerber has received awards such as the Friedrich Wilhelm Bessel Research Award (2021) and Hertz Foundation Fellowship (2000-2005). His research has been supported by grants from NSF, NASA, and international collaborations. Gerber’s lab explores machine learning applications in climate modeling, including data-driven parameterization of gravity waves. He serves as Associate Editor for the Quarterly Journal of the Royal Meteorological Society and has led initiatives like the SPARC Reanalysis Intercomparison Project (S-RIP). His recent studies address tropical teleconnections, stratospheric ozone responses to global warming, and extreme event predictability. Gerber’s teaching includes courses on atmospheric dynamics, climate change, and differential equations. He emphasizes interdisciplinary approaches, integrating theory, computation, and observational data to advance climate science understanding.

Maria Shahgedanovaمشاهده پروفایل

استاد

• Climate Change
• Climatology
• Mountain Cryosphere
• +۹ مورد دیگر

Maria Shahgedanova is a Professor in the Department of Meteorology at the University of Reading, Faculty of Science. She serves as Programme Co-Director for the MSc in Environmental Management and teaches climatology and climate change at both undergraduate and postgraduate levels. She is affiliated with key research groups including the Walker Institute, Water@Reading, and the Environmental Science Research Division. Research Interests: Her work centers on climate change and variability in extratropical Eurasia and mountainous regions, with emphasis on the mountain cryosphere, glacier dynamics, water resources, and natural hazards. She investigates the impacts of light-absorbing impurities on snowmelt, uses stable water isotopes in hydrological assessments, and develops meteorological forecasts for early warning systems. Her research is particularly focused on Central Asia and High Mountain Asia. The recent publications reflect a strong trend in climate-hydrology interactions in glacierized environments, with increasing emphasis on disaster risk reduction, isotope hydrology, and climate adaptation. Much of her work integrates remote sensing, modeling, and field data to assess future water security and hazards under climate change. University of Reading Engagement and Impact Award (2022) Schlumberger Foundation Fellowship Climate and Cryosphere (CliC) Fellowship Contributing Author, IPCC SROCC Chapter on High Mountain Areas Maria leads multiple international research projects funded by IAEA, UKRI, the Royal Society, and GCRF. She supervises PhD students including Qiao Li and Saule Suleimenova, and mentors postdoctoral researchers such as Dr. Gavkhar Mamadjanova and Dr. Vadim Yapiyev. She leads the Mountain Observatories working group at the Mountain Research Initiative (MRI) and established the Central Asia Research and Adaptation Water Network (CARAWAN), enhancing regional collaboration and capacity building. Her team’s work at the Tuyuksu Mountain Observatory has gained international recognition, including coverage in the New York Times . She actively collaborates with ECMWF, WMO’s Third Pole Regional Climate Change Network (TPRCC), and IAEA’s GLOWAL network, demonstrating strong engagement in global climate science initiatives.

Steven Feldsteinمشاهده پروفایل

استاد پژوهش

• Atmospheric Dynamics
• Climate Dynamics
• Teleconnections
• +۵ مورد دیگر

Steven Feldstein serves as a Research Professor in the Department of Meteorology and Atmospheric Science at Penn State University, where his office is located in 516 Walker Building, University Park. His research program centers on atmospheric and climate dynamics with specialized focus on earth rotation effects, low-frequency variability, and teleconnection mechanisms, contributing significantly to understanding global climate patterns through rigorous observational and modeling approaches. Feldstein's research spans critical areas including North Atlantic Oscillation (NAO) dynamics, Madden-Julian Oscillation (MJO) teleconnections, Rossby wave propagation, and Arctic amplification processes. He investigates how phenomena like sea ice decline, atmospheric blocking, and latent heating modulate climate variability across tropical, midlatitude, and polar regions. His work particularly examines physical mechanisms driving surface temperature anomalies, extreme precipitation events, and energy transport processes, with emphasis on both short-term weather impacts and long-term climate change implications. Analysis of his 15 most recent publications (2018-2022) reveals consistent thematic focus on Arctic-midlatitude interactions and oscillation patterns. Key trends include decomposition of NAO temperature anomalies, quantification of moist static energy transport in reanalyses, and examination of Arctic sea ice decline impacts on atmospheric circulation. His research increasingly addresses climate change ramifications through studies of longwave radiation trends and Arctic amplification mechanisms, employing advanced techniques in wave decomposition and radiation budget analysis. No scientific awards or honors are documented in the provided institutional profile. While the profile does not specify graduate student mentorship activities or research grants, Feldstein's extensive collaborative publication record (including multi-institutional teams with researchers like Justin Clark and Sukyoung Lee) indicates active engagement in funded research projects addressing high-priority climate science questions. His work appears consistently in top-tier journals including Geophysical Research Letters and Journal of Climate , demonstrating sustained research productivity.

Hesham El-Askaryمشاهده پروفایل

استاد

• Global Climate Change
• Earth Systems
• Remote Sensing
• +۱۱ مورد دیگر

Dr. Hesham El-Askary is a Professor of Computational and Data Science at Schmid College of Science and Technology, Chapman University . With expertise in Global Climate Change, Remote Sensing, and Natural Disasters , his research spans atmospheric aerosols, marine ecosystems, and sustainable resource management. He holds a Ph.D. in Computational Sciences from George Mason University. B.Sc. Alexandria University M.Sc. George Mason University (×2) Ph.D. George Mason University His research interests focus on: Dust storm monitoring via remote sensing Climate change impacts on sea-level rise and coral reefs Renewable energy for sustainability Hydrological extremes and drought analysis AI/ML applications in environmental science Marine habitat and coastal zone management Recent publications highlight his work in: Machine learning for groundwater vulnerability Land surface temperature trends Coral reef monitoring in the Red Sea Solar energy optimization in Egypt/UAE Drought prediction in Mediterranean regions Awards & Grants : Chapman University Senior Wang-Fradkin Professorship (2015) Regional Coordinator for EU Horizon 2020 GEO-CRADLE Project ($3M, 2016) Saudi Environmental Management Award (2006) Funding from NSF, NASA, USDA, and EU As a IEEE and AGU member , he bridges environmental science with advanced computational methods.

Jeannine-Marie St-Jacquesمشاهده پروفایل

دانشیار

• Paleoclimatology
• Hydrology
• Climate Variability
• +۵ مورد دیگر

Jeannine-Marie St-Jacques is an Associate Professor in the Department of Geography, Planning and Environment at Concordia University, where she has been employed since 2017. Her research focuses on reconstructing historical climate patterns to understand contemporary environmental challenges. Education: MA Mathematics, University of California, Berkeley MSc Botany, University of Toronto PhD Biology (Environmental Science), Queen's University Research Focus: Dr. St-Jacques specializes in North American freshwater systems, climate variability, and paleoenvironmental reconstruction using tree-rings, pollen, and instrumental data. Her work examines decadal-to-centennial water patterns, impacts of global warming on regional hydrology, and sustainable water management strategies for extreme events. Current projects include paleo-flood reconstructions and indigenous environmental histories. Publication Trends: Her 15 most recent articles (2018-2025) demonstrate strong focus on hydrological reconstructions using dendrochronological methods, climate model validation through paleodata, and multi-proxy analyses of Holocene environmental change. Collaborative works frequently address climate impacts on river systems and long-term fire/vegetation dynamics. Student Advising: Actively supervises 7 graduate students (5 PhD, 2 MSc) researching tree-ring climatology, paleotempestology, and indigenous environmental history. Has graduated 5 MSc students since 2018. Funding & Collaborations: Research supported by NSERC grants. Collaborates with researchers across Canadian institutions (UQAR, Bishop's University, UNB) and international teams in paleoclimatology, hydrology, and climate modeling.

• Climate Dynamics
• Numerical Weather Prediction (NWP)
• Atmospheric Modeling
• +۳ مورد دیگر

Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives

Jonathan E. Martinمشاهده پروفایل

استاد

• Synoptic Meteorology
• Atmospheric Dynamics
• Jet Stream Variability
• +۳ مورد دیگر

Jonathan E. Martin is a Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison since 1994. He received his Ph.D. in Atmospheric Sciences from the University of Washington in 1992. Research Focus: Mid-latitude cyclones, jet stream dynamics, and weather-climate interactions Key Methods: Multi-scale observational analysis, high-resolution mesoscale modeling, potential vorticity diagnostics Recent Projects: Jet stream waviness trends, subtropical-midlatitude cyclone transformation, snow cover-cyclone feedback His 2025-2024 publications examine extratropical cyclone precipitation distribution, Pacific basin rapid cyclogenesis, and Earth system model validation for cyclone occlusion. Earlier work (2023-2019) addresses: Jet superposition climatology Self-organizing map analysis of jet variability Cyclone-induced Southern Hemisphere waviness Nonlinear jet retraction mechanisms Tornado outbreak jet influences Historical cold pool contraction trends Awarded the 2021 Atmospheric Sciences Librarians International Choice Runner Up for his historical meteorology work, he also authored the textbook Mid-Latitude Atmospheric Dynamics: A First Course (2013). His research spans cyclogenesis, frontogenesis, and climate change impacts on jet streams, with applications in extreme weather forecasting and climate modeling validation.

Erika Gobetمشاهده پروفایل

مدرس

• Paleoecology
• Climate Change
• Vegetation Dynamics
• +۳ مورد دیگر

Dr. Erika Gobet is a Lecturer in Paleoecology at the University of Bern's Institute of Plant Sciences. Her work focuses on reconstructing long-term environmental changes through multi-proxy analyses of lake sediments, ice cores, and macrofossil records. She specializes in understanding interactions between climate, vegetation dynamics, and human activities, particularly during the Holocene and Late Glacial periods. Her research spans multiple regions including Switzerland, Greece, Ukraine, the Mediterranean, and Central Asia. Key themes include the impact of Neolithic land use on ecosystems, climate-driven vegetation shifts, and teleconnections between distant ecosystems via monsoon patterns. She employs cutting-edge methods like high-resolution chronologies, machine learning for pollen sequence analysis, and genetic studies of plant species adaptation. Dr. Gobet collaborates across disciplines, integrating archaeology, climatology, and ecology to address questions about human-environmental interactions. Her work highlights biodiversity conservation challenges posed by historical and modern environmental changes, especially in mountainous and mediterranean ecosystems. Recent studies emphasize methodological advancements in paleoenvironmental reconstruction (e.g., ice-core microfossil extraction) and interdisciplinary projects like Burgäschisee archaeological excavations. Though no awards are explicitly mentioned, her prolific publication record and methodological innovations indicate significant contributions to the field.

Alexander J. Bakerمشاهده پروفایل

پژوهشگر

• Tropical Cyclones
• Climate Modeling
• Atmospheric Dynamics
• +۳ مورد دیگر

Dr. Alexander J. Baker is a Senior Research Scientist at the National Centre for Atmospheric Science (NCAS) and the University of Reading's Department of Meteorology. His research focuses on high-resolution climate modeling, particularly examining tropical cyclones, North Atlantic climate variability, and paleoclimate reconstruction through stable water isotopes. Senior Research Scientist, NCAS High-Resolution Climate Modelling group member Project Manager, Huracan project Co-organizer, NCAS Climate Modelling Summer School Dr. Baker's research interests span: Tropical and post-tropical cyclones Global km-scale climate model evaluation Air-sea interactions in cyclones Atmospheric circulation patterns North Atlantic climate extremes Paleoclimatology using speleothems He supervises: Lewis Grant (PhD 2025-2028): High-resolution sub-seasonal tropical cyclone predictions Elliott Sainsbury (PhD 2019-2022): Post-tropical cyclones in European extreme weather His publication record (2014-2025) reveals: Leading research in tropical cyclone modeling Expertise in global storm-resolving climate models Major contributions to understanding Atlantic Multidecadal Variability Current focus on model resolution impacts on climate simulations Interdisciplinary work combining meteorology and paleoclimatology Industry collaboration through Insurance Special Interest Group Scientific contributions: Advancing High-Resolution Climate Modelling group's research Website administrator for HRCM research group Co-organizer of influential climate seminars

Jimin Yuمشاهده پروفایل

استاد

• Paleoclimatology
• Oceanography
• Geochemistry
• +۳ مورد دیگر

Jimin Yu is a Professor at the Research School of Earth Sciences (RSES) at the Australian National University (ANU). He holds tenured positions, including ARC Future Fellow (2015–2019), and has expertise in paleoclimatology, oceanography, and geochemistry. His research focuses on the global carbon cycle, ocean circulation changes, and the development of geochemical proxies to understand past climate systems. Education: Ph.D. in Paleoclimatology (2006), University of Cambridge M.Sc. in Mineralogy and Petrology (2002), Nanjing University B.Sc. in Geology (1999), Nanjing University Research Interests: Jimin Yu's work explores interactions between the atmosphere, oceans, and land biosphere through trace element and isotopic analyses. Key areas include: Carbonate system dynamics in deep-sea environments Development of proxies for seawater pH and carbonate ion saturation Reconstruction of past ocean circulation patterns using multi-proxy approaches Recent Research Trends: His publications highlight studies on Southern Ocean CO₂ release, Pacific deep-water circulation, and the role of meltwater in North Atlantic climate variability. These projects often integrate field data with numerical models to address unresolved mechanisms in Earth's climate system. Awards & Grants: ARC Discovery Project (DP140101393), 2014–2017 ARC Future Fellowship (FT140100993), 2015–2019 Teaching & Supervision: Course convener for Palaeoclimatology and Climate Change (EMSC3027/6027) . Supervises Ph.D. students in carbon cycle dynamics and paleoceanography, with current funding opportunities for motivated candidates. Labs & Facilities: Utilizes cutting-edge instrumentation like Neptune MC-ICP-MS and prepFAST MC systems for trace element analysis, supporting high-precision geochemical studies.

Babatunde Anifowoseمشاهده پروفایل

استادیار

• Environmental Impact Assessment
• Oil Spill Modeling
• Water Pollution Management
• +۶ مورد دیگر

Dr Babatunde Anifowose is an Assistant Professor at the CEES School of The Environment. He holds a PhD in Environmental Science from the University of Birmingham (2011) and advanced qualifications in Geography and Data Processing. His expertise spans Environmental Impact Assessment (EIA), oil spill modeling, water pollution management, and the application of AI/ML in environmental decision-making. Education PhD in Environmental Science, University of Birmingham (2011) MSc in Geography (Transport & Remote Sensing), University of Lagos (2007) BSc in Environmental Science, University of Lagos (2005) Diploma in Data Processing (Computer Science), University of Lagos (1997) Research Interests Anifowose focuses on sustainable natural resource exploitation, decarbonization, and EIA innovations using AI/ML. His work addresses oil spill dynamics in fluvial-marine transition zones, EIA quality assessment, and socio-environmental equity in development projects. He also explores climate change mitigation strategies in energy systems. Awards & Recognition 2020 Sustainability and Stewardship Award (Oil & Gas Industry) EPSRC Peer Review College Member (2020–present) SPE Sustainable Development Technical Section Chair (2017–present) Advisory Roles & Grants Anifowose advises on water pollution and energy infrastructure projects. His grants include funding from the Nigerian Government (PTDF) and collaborations with JICA and the AfDB. He has supervised over 4 PhD students and actively engages in peer review for Elsevier journals. Labs & Collaborations He contributes to the Data Science and Engineering Analytics Technical Section and collaborates with institutions like the British Hydrological Society and the Transportation Research Board’s Hazardous Materials Committee.

Olivia Romppainen-Martiusمشاهده پروفایل

استاد

• Climate Science
• Meteorology
• Natural Hazards
• +۳ مورد دیگر

Prof. Olivia Romppainen-Martius is a Professor and Group Leader of the Climate Impacts research group at the Institute of Geography, University of Bern. She co-directs the Mobiliar Lab for Natural Risks and focuses on short-term climate dynamics, high-impact weather systems, and midlatitude weather patterns. Her work integrates advanced modeling techniques with real-world applications in disaster risk reduction. Her research spans climate variability analysis, probabilistic forecasting of extreme events, and the development of early warning systems. She leads collaborative projects combining machine learning with Earth system modeling to improve understanding of weather extremes under climate change. Key interests include flood forecasting, hailstorm dynamics, and Mediterranean cyclone behavior. Prof. Romppainen-Martius has pioneered web-based visualization tools for impact-based flood warnings and has contributed to kilometer-scale Earth system modeling frameworks like nextGEMS. Her methodologies emphasize statistical reconstruction of historical weather events and the application of AI to convective weather prediction. Her research outputs reflect a strong focus on bridging climate science with practical risk management strategies, particularly in alpine and pre-alpine environments. Current efforts include long-term analysis of Swiss hailstorms and development of crowd-sourced data integration for meteorological observations.