جست‌وجوی استاد و پژوهشگر

Erich Fischerمشاهده پروفایل

استاد

• Climate Extremes
• Weather Extremes
• Heavy Precipitation Events
• +۸ مورد دیگر

Erich Fischer is a Professor at ETH Zürich's Department of Environmental Systems Science, where he leads research on climate and weather extremes. Affiliated with the Institute for Atmospheric and Climate Science, he maintains an active research program focusing on extreme weather events under climate change. His work bridges fundamental climate science with practical applications for risk assessment and policy development. Research Focus: Fischer's work centers on climate extremes, particularly heatwaves and heavy precipitation events. His research spans multiple dimensions including mechanisms of extreme events, detection and attribution of climate change signals, climate projections, and quantification of uncertainties. He investigates both global patterns and regional manifestations of climate change, with special attention to human health impacts from heat stress and the climate response to volcanic eruptions. His methodology combines observational analysis, climate model evaluation, and advanced statistical techniques for extreme event attribution. Publication Trends: Fischer's recent work shows increasing focus on compound extremes, attribution of specific events to climate change, and practical applications of climate science for risk management. His research demonstrates how climate change is altering the probability and intensity of extreme weather, with particular attention to heatwaves. The publications reveal strong collaboration across international climate research institutions and consistent publication in high-impact journals including Nature, Science, and their affiliated publications. Clarivate Highly Cited Researcher (2019-2023) Lead Author for IPCC AR6 Co-lead of WCRP Grand Challenges on Weather and Climate Extremes Professional Activities: Fischer serves as associate editor for Science Advances and co-editor for Weather and Climate Dynamics. His research informs climate policy through participation in major international assessments and development of climate scenarios for Switzerland. He maintains active collaborations with leading climate research institutions worldwide including NCAR and the University of Reading.

Ying Chenمشاهده پروفایل

استادیار

• Atmospheric Science
• Climate Change
• Air Quality
• +۳ مورد دیگر

Dr. Ying Chen is an Assistant Professor in Atmospheric Science at the University of Birmingham's School of Geography, Earth and Environmental Sciences. An expert in climate change and air quality, Dr. Chen focuses on aerosol-cloud-climate interactions, sustainable energy, and climate extremes. Holding a PhD from Leipzig University (2017) and MSc/BSc from Peking and Nanjing Universities, Dr. Chen teaches in Birmingham's MSc Air Pollution Management and Control program. Research interests include: Aerosol-cloud-climate interactions Air quality analysis Machine learning applications in climate science Climate tipping points and carbon budgets Recent publications (2023-2025) demonstrate expertise in pollution transport modeling, monsoon system interactions, and renewable energy climate impacts. Dr. Chen holds editorial roles at Frontiers in Environmental Science and Atmosphere, and has contributed to patents in wind/solar power forecasting methods. Scientific involvement includes: Member of AGU, EGU, and Royal Society of Chemistry Reviewer for prestigious journals (Nature, Geophysical Research Letters) Conference chair at International Aerosol Conference 2022

• Atmospheric Science
• Aerosol Modeling
• Volcanic Ash Dispersion
• +۲ مورد دیگر

Dr. Gholamali Hoshyaripour leads the "ART" working group at the Institute of Meteorology and Climate Research (IMK-TRO) within the Karlsruhe Institute of Technology (KIT). His research focuses on atmospheric aerosols, volcanic ash dispersion, Saharan dust modeling, and their impacts on climate systems through radiation-cloud interactions. He collaborates with institutions like the University of Hamburg and Max Planck Institute for Meteorology. Earth System Sciences PhD (University of Hamburg, 2013) MSc Environmental Engineering (University of Tehran, 2009) BSc Civil & Environmental Engineering (University of Najafabad, Iran, 2005) His research explores aerosol lifecycle processes, including ash iron solubility modulation in volcanic plumes, dust optical properties, and climate feedback mechanisms. Recent work emphasizes machine learning applications for atmospheric modeling (e.g., MieAI neural network) and satellite-based plume height estimation. Analysis of 15 recent publications reveals interdisciplinary trends combining atmospheric modeling (ICON-ART, COSMO-ART), volcanic impact studies, dust-cloud-radiation interactions, and remote sensing techniques. Key keywords include atmospheric chemistry, climate modeling, aerosol dynamics, and satellite data applications.

• Atmospheric Chemistry
• Air Pollution
• Climate Change
• +۲ مورد دیگر

Jos Lelieveld is Professor in Atmospheric Physics at Johannes Gutenberg University Mainz and Spokesperson of the Paul Crutzen Graduate School, with a concurrent part-time professorship at the Cyprus Institute, Nicosia. He served as Director of the Atmospheric Chemistry Department at the Max Planck Institute for Chemistry from 2000 until August 2025. His career spans atmospheric chemistry, air quality, and climate-health interactions with international collaborations across Europe, Cyprus, and the Amazon. His educational background includes: Undergraduate in Biology, University of Leiden Ph.D. in Physics, University of Utrecht (1990) Lelieveld's research examines atmospheric chemical processes, pollution-climate interactions, and human health impacts. He investigates biogeochemical cycles, ozone formation, and particulate matter effects using advanced modeling and field measurements. Recent work focuses on Mediterranean urban heat islands, Amazonian atmospheric chemistry, and cardiovascular damage from air pollution-traffic noise synergies, emphasizing climate change hotspots like Cyprus. Analysis of his 2024-2025 publications reveals three dominant trends: (1) Urban climate adaptation in Mediterranean regions using high-resolution modeling, (2) Biogenic volatile organic compound dynamics in tropical forests under deforestation pressure, and (3) Mechanistic studies of air pollution's cardiovascular impacts through toxicology and epidemiology. His work increasingly integrates machine learning for health risk forecasting. Details on academic advising and research grants were not specified in source materials, though his leadership in the Paul Crutzen Graduate School indicates significant mentorship responsibilities. His research infrastructure includes the EMAC atmospheric chemistry model and collaborations with the Cyprus Institute's climate research division.

E. Bruce Pitmanمشاهده پروفایل

استاد

• Mathematical modeling
• High performance computing
• Uncertainty quantification

E. Bruce Pitman is a Professor in the Department of Materials Design and Innovation at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on mathematical modeling, high-performance computing, and uncertainty quantification for geophysical hazards. Education includes a PhD in Mathematics from Duke University (1985), MS in Mathematics from Duke (1981), and BS in Physics and Mathematics from Northwestern University (1979). Employment history spans professorial roles at SUNY Buffalo since 1989, with adjunct appointments in Mechanical and Aerospace Engineering since 2004. Research concentrates on computational approaches to volcanic hazards, debris flows, and geophysical risk assessment using advanced statistical and modeling techniques. Publications demonstrate consistent focus on volcanic hazard prediction, debris flow modeling, and computational methods, with recent emphasis on uncertainty quantification and machine learning applications in geosciences.

Yajing YANمشاهده پروفایل

مدرس

• Remote Sensing
• Geophysics
• Data Assimilation
• +۵ مورد دیگر

Yajing YAN is a Lecturer (Habilitation à Diriger des Recherches) at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. She specializes in remote sensing, geophysics, and data assimilation with particular focus on Earth deformation monitoring and natural hazard prediction. Her research integrates multi-temporal SAR interferometry, statistical methods, and machine learning to analyze displacement data for applications in volcanology, glaciology, and mountain environment monitoring. Education and Professional Path: PhD in Remote Sensing (2008-2011, LISTIC), followed by post-doctoral positions at the University of Liège (2012-2014) and University of Rennes 1 (2012). Since 2014, she has held her current position at Université Savoie Mont Blanc. Research Themes: Multi-temporal SAR interferometry, data fusion/assimilation, statistical methods, machine learning applications in geoscience. Active in projects like CNES MagmaTrack, ANR REPED-SARIX, and MIAI, focusing on volcanic deformation, glacier dynamics, and environmental imagery analysis. Teaching: Polytech Annecy-Chambéry, covering algorithmic, databases, embedded systems, signal/image processing, and Problem-Based Learning (PBL) in Environmental Imagery. Leadership Roles: Member of CNU 61, responsible for the 'Systèmes Numériques et Instrumentation' specialty, and organizes conferences on statistical learning and télédétection. Co-editor of 'Inversion & Assimilation de données de télédétection' and leads the 'Télédétection & IA' initiative under GdR ISIS.

• Soft Matter Physics
• Colloidal Systems
• Polymeric Systems
• +۵ مورد دیگر

Gianmarco Munaò is a Full-time fixed-term researcher (type B) at the Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences (MIFT) at the University of Messina, specializing in Theoretical Physics of Matter. He serves as Lecturer for the course "Analysis and models of biomedical signals" in the Master's Degree in Physics program. His educational background includes: PhD in Physics from the University of Messina (2009), with thesis on "Improvements of RISM theory in molecular liquids investigations" Graduation with honors in Physics from the University of Messina (2005), with thesis on "Theoretical and simulative study of structural properties of mixtures of molecular liquids" Munaò's research focuses on theoretical and simulation studies of condensed matter physics, particularly soft matter systems including colloidal, polymeric, and biological systems. He employs numerical simulations based on Molecular Dynamics and Monte Carlo methods, along with theoretical tools based on integral equations, to investigate structural and thermodynamic properties of complex systems. His work has significant applications in nanotechnology, materials science, and biophysics. His recent publications demonstrate expertise across multiple domains including colloidal physics, polymer nanocomposites, molecular dynamics simulations, and statistical mechanics. The research shows a consistent focus on understanding self-assembly processes, phase behavior, and structural properties of complex fluid systems. Scientific qualifications: National scientific qualification for associate professor in sector 02/B2 (Theoretical Physics of Matter) (2018-2027) National scientific qualification for associate professor in sector 03/A2 (Models and Methodologies for Chemical Sciences) (2018-2027) Munaò has participated in numerous research projects, including ERC projects and PRIN MIUR grants. He has collaborated extensively with research groups at Sapienza University of Rome, University of Salerno, and other international institutions. As a referee, he has reviewed for prestigious journals including Soft Matter, Physical Review E, and Journal of Chemical Physics. He is active in the scientific community, regularly presenting at conferences such as the International Soft Matter Conference and Fismat.

• Geophysics
• Seismology
• Volcano Monitoring
• +۵ مورد دیگر

Dr. Ivan Lokmer is an Associate Professor in Petroleum Geoscience at the School of Earth Sciences, University College Dublin. His research focuses on geophysical inversion techniques, volcano seismology, and seismic wave propagation in complex media. He holds a PhD from UCD and has expertise in numerical modeling, machine learning applications, and subduction zone dynamics. Key research areas include stress field analysis along the Hikurangi Margin, diffraction imaging using deep learning, and long-period volcanic seismic event mechanisms. He has coordinated modules such as 'Applied Geophysics' and 'Geocomputation' at UCD since 2019. Education: BSc in Physics (University of Zagreb, 1997), MSc in Geophysics (University of Zagreb, 2002), PhD in Volcano Seismology (UCD, 2008). Research highlights include studies on seismic source inversion, borehole stress orientation variability, and volcanic tremor analysis. His work integrates field observations with computational methods to advance understanding of tectonic and volcanic processes. Notable contributions include the FAME project using fiber-optic sensing for volcano monitoring and publications on subduction zone stress patterns. Teaching responsibilities include courses on geophysical methods and geocomputational tools. Ongoing projects focus on machine learning in seismic imaging and geohazard analysis.

Jess Johnsonمشاهده پروفایل

دانشیار

• Geophysical Hazards
• Volcano Seismology
• Earthquake Seismology
• +۲ مورد دیگر

Jess Johnson is Associate Professor in Solid Earth Geophysics at the University of East Anglia's School of Environmental Sciences, specializing in volcano seismology, earthquake hazards, and geodetic monitoring. Her research investigates subsurface fluid movement through seismic anisotropy and ground deformation analysis at active volcanoes including Kilauea (Hawaii), Ruapehu (New Zealand), and Icelandic systems. She leads projects on seismic anisotropy origins, machine learning for earthquake swarms, and volcanic deformation modeling. Current work includes repeating earthquakes at Ruapehu and magma dynamics at Kilauea. She directs admissions for the School of Environmental Sciences and teaches geophysics, hazards, and field skills modules. Her publications focus on advancing seismic monitoring techniques and deformation models for eruption forecasting. Awards include 2022 PhD Supervisor of the Year.

• Tsunami Risk
• Engineering Seismology
• Earthquake Engineering
• +۳ مورد دیگر

Dr. Andreas Schäfer is a researcher at the Geophysical Institute (GPI) of Karlsruhe Institute of Technology (KIT), specializing in natural hazard risk assessment and disaster forensics. He leads research on tsunami, earthquake, and flood risks through the CEDIM Forensic Disaster Analysis Group, producing rapid-impact reports for global events like the 2023 Türkiye earthquakes and 2025 Pacific tsunamis. Research Focus: Schäfer's work integrates geophysics, machine learning, and multi-disciplinary analysis to address: Tsunami generation mechanisms and coastal risk modeling Earthquake engineering and forecasting using statistical and computational methods Climate-extreme impacts on flood and heatwave vulnerabilities Real-time disaster forensics for policy-relevant risk reduction Publication Trends: His recent articles demonstrate a focus on forensic disaster analysis, climate-related hazard amplification, and machine learning applications in geophysics. Collaborative works frequently appear in multi-disciplinary journals like Natural Hazards and Earth System Sciences . Academic Engagement: Teaches courses in seismological signal processing, seismic wave theory, and engineering geophysics at KIT. No named students or awards are documented in available materials. Affiliations: Core member of CEDIM Forensic Disaster Analysis Group, conducting rapid damage assessments for global disasters since at least 2017.

Neil Hindleyمشاهده پروفایل

پژوهشگر ارشد

• Atmospheric Dynamics
• Remote Sensing
• Spectral Analysis Techniques
• +۳ مورد دیگر

Neil Hindley is a Research Fellow at the University of Bath's Department of Electronic & Electrical Engineering, affiliated with the Centre for Climate Adaptation & Environment Research (CAER). He holds a PhD in Atmospheric Dynamics from the University of Bath (2016) and an MPhys Astrophysics from Cardiff University (2011). His research focuses on Atmospheric Dynamics, Remote Sensing, and Spectral Analysis Techniques, particularly studying gravity waves and their impacts on climate systems. He leads and collaborates on projects funded by the Natural Environment Research Council (NERC), including investigations into upper atmospheric waves, stratospheric-troposphere coupling, and ionospheric variability. As a NERC Independent Research Fellow, he contributes to the UN Sustainable Development Goals related to climate action and environmental protection. Recent projects include TEAMx-FLOW (2024–2028) and SURGE (2023–2028), exploring flow dynamics and upper atmospheric wave phenomena. His work integrates satellite observations (e.g., Aeolus wind lidar) with advanced modeling techniques, such as convolutional neural networks for gravity wave detection. Notable research includes analyzing the 2019/2020 quasi-biennial oscillation disruption and the global effects of the Hunga Tonga volcanic eruption on atmospheric dynamics. Awards: NERC Independent Research Fellow (2020–present). Grants include NERC funding for multiple projects totaling over £multi-million. His research outputs span 41 peer-reviewed articles, focusing on gravity wave characteristics, hurricane intensification mechanisms, and mesosphere-lower thermosphere interactions. Collaborations span international teams and institutions, advancing understanding of Earth's atmospheric systems.

Mike Cassidyمشاهده پروفایل

دانشیار

• Volcanology
• Petrology
• Geochemistry
• +۴ مورد دیگر

Dr. Mike Cassidy is an Associate Professor in Volcanology and Petrology at the University of Birmingham's School of Geography, Earth and Environmental Sciences. He leads the Global Environmental Change and Sustainability Degree program and teaches modules in Geology and Environmental Science. His research focuses on volcanic explosivity, eruption forecasting, and mitigating impacts of large eruptions, using machine learning and experimental petrology. Education: PhD, University of Southampton (2012) MSc Volcanology, University of Lancaster (2008) BSc Geology, University of Bristol (2006) Research Interests: Mike investigates physio-chemical controls on volcanic eruptions, with a focus on magma volatility, overpressure, and eruption dynamics. He applies cross-disciplinary methods like machine learning and petrology to improve forecasting and disaster preparedness. Recent work includes studies on the 2018 Anak Krakatau collapse and Tambora’s climatic impacts. He advocates for global volcanic risk mitigation strategies and ethical geoengineering practices. Professional Roles: Editorial board member for Geology (ITB), NERC Peer Review College, and founder of the VMSG Postdoctoral Keynote Award. He established collaborations with Institut Teknologi Bandung (ITB) and led efforts to abolish Oxford University’s graduate application fee. Advising & Grants: Supervised PhD students at Oxford and Birmingham. Active in funding initiatives for volcanic research and international collaborations. His work bridges academia and policy, emphasizing real-world applications of scientific research. Labs & Teams: Collaborates with global institutions on volcanic hazard assessments and geoengineering ethics. Leads fieldwork in Indonesia, Iceland, Chile, Mexico, and the West Indies.

• Meteorology
• Atmospheric Science
• Volcanology
• +۳ مورد دیگر

Dr. Natalie Harvey is a researcher at the University of Reading specializing in atmospheric science , with a focus on volcanic ash dispersion , weather forecasting , and climate modeling . Her work bridges computational modeling with observational validation to improve hazard prediction for aviation and emergency response. Research Interests : Meteorology : Analyzing atmospheric processes in volcanic ash transport and deep convection. Volcanology : Quantifying emission uncertainties and improving ash source term estimation. Climate Dynamics : Evaluating AI vs. physics-based weather models and ensemble forecasting techniques. Environmental Risk : Assessing aviation risks and decision-making under uncertain forecasts. Computational Modeling : Developing emulators and sensitivity analyses for atmospheric systems. Remote Sensing : Integrating satellite data for model validation and real-time monitoring. Scientific Trends : Recent work (2025-2022) emphasizes volcanic ash source inversion , AI weather forecasting , and deep convection memory properties . Mid-2010s research explores boundary layer dynamics , forecast error growth , and ensemble meteorology in ash dispersion. Her collaborations span institutions, including the Royal Meteorological Society , ECMWF , and University of Oxford .

• Space Science
• Ionospheric Physics
• Geomatic Engineering
• +۳ مورد دیگر

Dr. Julie Currie is a Lecturer in the School of Science at RMIT University, specializing in Geospatial Science and Ionospheric Physics. Her research focuses on space weather, ionospheric modeling, and plasma dynamics, with applications to GNSS positioning and satellite drag prediction. She leads the RMIT University’s practical space weather prediction laboratory and supervises postgraduate research on data assimilation in thermosphere-ionosphere models and neural network-based ionospheric forecasting. Her teaching interests span Space Science, Magnetosphere dynamics, and radiowave propagation. Recent research highlights include analyzing ionospheric effects of volcanic eruptions (e.g., Hunga Tonga), geomagnetic storm impacts, and developing novel indices for quantifying equatorial plasma bubble occurrences. She collaborates widely, using COSMIC satellite data and incoherent scatter radar observations to advance understanding of upper atmospheric phenomena. Key contributions include improving GNSS accuracy through ionospheric corrections, mitigating lunar dust contamination for spacesuit design, and modeling geomagnetically induced currents threatening power grids. Her work bridges theoretical physics, applied geomatic engineering, and practical space weather forecasting infrastructure.

Nadine (Igonin) Ushakovمشاهده پروفایل

استادیار

• Seismology
• Machine Learning
• Geophysics
• +۳ مورد دیگر

Nadine (Igonin) Ushakov is an Assistant Professor of Geophysics at the School of Natural Sciences and Mathematics, University of Texas at Dallas (UTD). Her research focuses on seismology and machine learning applications to study earthquakes induced by human activities such as hydraulic fracturing, as well as the impacts of climate change on near-surface geophysical processes. She leads projects on fault activation mechanisms, geothermal well monitoring, and microseismic data analysis. Education: PhD in Geophysics, University of Calgary, Canada (2021) BSc in Geophysics, University of Calgary, Canada (2016) Research Interests: Induced seismicity characterization and mitigation Machine learning for seismic data interpretation Climate change impacts via near-surface geophysics Geothermal reservoir monitoring Recent Work Trends: Her publications emphasize quantitative analysis of hydraulic fracturing-induced seismicity, real-time earthquake early warning systems, and advanced techniques for microseismic monitoring using distributed acoustic sensing (DAS). She also explores interdisciplinary applications in volcanology and archaeological geophysics. Grants & Appointments: Assistant Professor, UTD (2023–Present) SAGE Instructor, Summer of Applied Geophysical Research (2022–Present) Postdoctoral Fellow, University of Texas at Austin (2021–2023) Current research group openings are unavailable, but opportunities exist for fieldwork in Texas, New Mexico, and Finland through collaborative projects.