جستجوی استاد راهنمای دانشگاهی

Tom Beuclerمشاهده پروفایل

استادیار

• Geo-Environmental Data Science
• Climate Informatics
• Atmospheric Physics
• +۵ مورد دیگر

Tom Beucler is a Conditional Pre-Tenure Assistant Professor in Geo-Environmental Data Science at the University of Lausanne’s Institute for Earth Surface Dynamics (IDYST). He holds a Master’s degree in Science and Mechanics from École Polytechnique (2014) and a PhD in Atmospheric Science from MIT (2019). Postdoctoral research at Columbia University and UC Irvine focused on machine learning applications in climate science under Professors Pierre Gentine and Michael Pritchard. Research Interests: Climate informatics, atmospheric physics, fluid dynamics, tropical meteorology, and integrating machine learning into climate models for extreme weather prediction and hydrological cycle modeling. Collaborations: Works with environmental scientists and computer engineers to improve climate models using neural networks and causal discovery methods. Initiatives: Organizes weekly brainstorming sessions to promote machine learning adoption in environmental sciences. Publications span climate-invariant machine learning, data-driven parameterizations, and hybrid AI-climate modeling frameworks like ClimSim. His work emphasizes causal consistency and generalizability across climate conditions.

Eleni Staiمشاهده پروفایل

استادیار

• Optimization
• Communications Networks
• Data Analytics
• +۴ مورد دیگر

Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens. Her academic credentials include: Diploma in Electrical and Computer Engineering, NTUA (2009) B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013) M.Sc. in Applied Mathematical Sciences, NTUA (2014) Ph.D. in Electrical Engineering, NTUA (2015) Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems. Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability. Her scientific contributions have been recognized through prestigious awards: Chorafas Foundation Best Ph.D. Thesis award Thomaidis Foundation Best M.Sc. Thesis award Best Paper Award at ICT 2016 Best Presenter Award at IEEE ENERGYCON 2022 Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems. Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.

Steven Siemsمشاهده پروفایل

استاد

• Cloud Microphysics
• Boundary Layer Meteorology
• Precipitation Processes
• +۳ مورد دیگر

Steven Siems is a Professor at Monash University's School of Earth Atmosphere and Environment. He leads research on clouds, precipitation, and boundary layer meteorology, focusing on the Southern Ocean, Australia, and SE Asia. As a Chief Investigator in the ARC Securing Antarctica's Environmental Future (SAEF) center, he studies precipitation processes and co-chairs the World Weather Research Program's Weather Modification Expert Team. He also edits the Journal of Southern Hemisphere Earth System Science. Education: PhD in Applied Mathematics from the University of Washington (Seattle), followed by post-doctoral research at NCAR and UMIST. His work contributes to UN Sustainable Development Goals related to climate action and life below water. Projects: CAPE-k (Southern Ocean Clouds), CCI GBR (Great Barrier Reef Climate), POSOSI (Antarctic Sea Ice), and PSCSO (Southern Ocean Convection) Research Themes: Cloud microphysics, orographic precipitation, trade wind cumulus dynamics Recent publications focus on satellite cloud retrievals, coral bleaching drivers, and precipitation biases in high-latitude observations. Supervised PhD students engage in fieldwork across the Snowy Mountains, King Island, and Great Barrier Reef aboard research vessels like the R/V Investigator.

Felix Amentمشاهده پروفایل

استاد

• Land Surface Processes
• Atmospheric Boundary Layer
• Remote Sensing of Precipitation and Clouds
• +۴ مورد دیگر

Prof. Felix Ament is a University Professor at the University of Hamburg's Meteorological Institute within the Faculty of Earth System Sciences. He leads the "Atmospheric Measurements and Process Modeling" group and co-leads the MPI-M's Boundary Layer Measuring and Modeling group and the Integrated Climate Data Center (ICDC). His academic career includes a PhD from the University of Bonn (2006) and postdoctoral research at MeteoSwiss and the Max Planck Institute. Research focuses on land-surface interactions, atmospheric boundary layers, and remote sensing of precipitation. Education: PhD in Meteorology (2006), University of Bonn Diplom in Meteorology (2001), University of Bonn Key Roles: Head of Atmospheric Measurements/Process Modeling Group Co-Head of ICDC (Climate Data Center) Research emphasizes urban climate, cold pool dynamics, and high-resolution radar observations. Notable projects include FESSTVaL (submesoscale field experiment) and contributions to Hamburg's weather radar network analysis. Collaborations span institutions like MPI-M and CEN. Publications (71 total) address socio-ecological urban risks, Arctic atmospheric rivers, and precipitation modeling. Current work integrates observational data with advanced modeling for climate and weather prediction.

• Public Transportation Electrification
• Electric Vehicle Drive Control
• Battery Degradation Modeling
• +۴ مورد دیگر

Dr. Syed M Nawazish Ali is a Research Fellow at RMIT University’s School of Engineering (City Campus, Australia) since July 2022. He has held academic roles at Macquarie University (Casual Academic, 2018–2020) and Aalborg University (Visiting Research Fellow, 2019–2020). His industry experience includes roles at Evenergi Pty Ltd and Magnetica Limited in Australia. Education: B.Sc. in Electrical Engineering, University of Engineering & Technology, Lahore (2013) M.Sc. in Electrical Engineering, COMSATS University, Lahore (2016) Ph.D. in Electrical Engineering, Macquarie University, Sydney (2022) Research Interests: Dr. Ali specializes in data analysis of public transportation electrification, electric vehicle (EV) drive control, battery degradation studies, optimization algorithms for battery health estimation, and grid impact of EV penetration. His work addresses thermal degradation in EV motor drives, fault-tolerant inverter designs, and sustainable integration of renewable energy with transport systems. Article Trends: His recent publications focus on harmonizing EV charging with smart grids, optimizing energy control via Machine Learning and genetic algorithms, and enhancing fault tolerance in power electronics. Key themes include thermal management of motor drives, multi-energy system integration, and decentralized energy trading models. Scientific Awards: Postgraduate Research Fund grant and DVC Research Commendation, Macquarie University (2020) 1st position in oral research presentation at Macquarie University’s Higher Degree Research Conference (2019) International Research Training Program Scholarship (Commonwealth Government-funded) for Ph.D. (2017) Prime Minister’s Laptop Scheme award (2016) Top of FA14-MSEE batch at COMSATS University (2016) KAKEZAI Scholarship at UET Lahore (2011–2013) Supervision & Grants: Available for Masters/PhD supervision in EV control systems. Secured grants including the Commonwealth Government’s International Research Training Program Scholarship and Macquarie University’s Postgraduate Research Fund. Key projects: C4NET Project 66 (Zero Emission Bus Trial) and EV battery degradation control research.

Leo Saffinمشاهده پروفایل

پژوهشگر ارشد

• Atmospheric Dynamics
• Climate Modeling
• Diabatic Atmospheric Processes
• +۵ مورد دیگر

Dr. Leo Saffin is a Research Fellow in the Department of Meteorology at the University of Reading, affiliated with the National Centre for Atmospheric Science (NCAS). He is a postdoctoral researcher working on the Huracan project, focusing on the dynamics of tropical cyclones transitioning to the extratropics and their interaction with midlatitude atmospheric flows. His research integrates atmospheric processes, numerical modeling, and computational methods to improve climate and weather prediction accuracy. His work spans eddy feedbacks in climate models, trade-wind cumulus dynamics, and reduced-precision computing for atmospheric parameterizations. He collaborates with John Methven, Pier Luigi Vidale, and Alex Baker on midlatitude dynamics and forecast error analysis. Saffin’s contributions bridge theoretical atmospheric science with practical model optimization, addressing challenges in numerical precision and parametrization techniques. Publications highlight his expertise in climate modeling uncertainties, mesoscale organization of clouds, and the role of diabatic processes in atmospheric circulation. His research emphasizes the interplay between small-scale phenomena and large-scale dynamics, with applications to improving weather forecast reliability and climate model fidelity.

• Meteorology
• Climate Science
• Atmospheric Boundary Layer
• +۵ مورد دیگر

Martin Janssens is an Assistant Professor in Meteorology at Wageningen University & Research . His research focuses on atmospheric boundary layer dynamics, mesoscale cloud organization, and climate modeling. He has contributed to projects like CloudRoots-Amazon22, exploring cloud-photosynthesis interactions in tropical regions, and investigates the impact of trade cumulus self-organization on radiation budgets. Janssens co-supervises PhD candidates in areas such as shallow convective clouds and forest fire plume dynamics. His work emphasizes bridging scales in Earth system modeling, including digital twin frameworks for climate projections. He has published extensively on topics like mesoscale circulations, cloud dynamics, and large-eddy simulations. Notable collaborations include work on carbon dioxide exchange in tropical tropospheres and the governance of solar geoengineering experiments. Key Projects : Unravelling mesoscale organization of shallow convective clouds for climate projections Evaluating atmospheric models for the Copernicus Monitoring Service Fluid dynamics of forest fire plumes Dynamical systems analysis of cloud patterns (PhD project 2019–2023) Research Themes : Trade wind cumulus dynamics and self-organization Amazon rainforest-atmosphere interactions Numerical modeling of boundary layer processes Advising & Grants : Co-promoter of three active PhD projects focusing on cloud dynamics, atmospheric modeling, and fire plumes. His research has been featured in high-impact journals like Geophysical Research Letters and Communications Earth & Environment .

Raphaela Vogelمشاهده پروفایل

استاد

• Cloud Dynamics
• Climate Modeling
• Atmospheric Processes
• +۳ مورد دیگر

Overview Prof. Dr. Raphaela Vogel is a tenure-track professor (W2) at the University of Hamburg's Meteorological Institute, part of the Department of Earth System Sciences. She leads research on cloud dynamics, convective processes, and climate feedbacks, with a focus on rain evaporation and cold pool effects. She received an ERC Starting Grant (2023) to study rain evaporation's climatic impacts. Educational Background B.Sc. Environmental Sciences (ETH Zurich & University of Edinburgh, 2010) M.Sc. Atmospheric and Climate Science (ETH Zurich, 2013) PhD in Meteorology (Max Planck Institute for Meteorology, Hamburg, 2017) Research Interests Her work combines observations, simulations, and conceptual models to study cloud responses to environmental changes. Key areas include: Evaporation of raindrops and cold pool dynamics Mesoscale convective organization Climate feedbacks of trade-wind cumulus clouds Improving climate models via Supertropfen approaches Publications & Projects Recent work highlights include a 2022 Nature paper on weak trade cumulus feedback and leadership in the ORCESTRA field campaign. She co-leads the Cold Pool Model Intercomparison Project (CP-MIP) and is PI of the SCORE project. Awards & Grants ERC Starting Grant (2023) for the ROTOЯ project, valued at €1.5M. Recognized as a climate physics editor for Atmospheric Chemistry and Physics. Teaching & Supervision Teaches courses on meteorology and tropical cloud systems. Supervises 9 current PhD/MSc students and postdocs, including projects on cold pools and precipitation dynamics. Labs & Collaborations Part of the University of Hamburg's Clouds and Convection research group and affiliated with the Centrum für Erdsystemforschung und Nachhaltigkeit (CEN). Collaborates with Barbados Cloud Observatory and international modeling initiatives.

• Radar engineering and signal processing
• Cloud and precipitation microphysics and dynamics
• Boundary-layer turbulence
• +۳ مورد دیگر

Dr. Pavlos Kollias is a Professor at Stony Brook University’s School of Marine and Atmospheric Sciences and holds a joint appointment as Atmospheric Scientist in the Environmental Science and Technologies Department at Brookhaven National Laboratory. He also serves as International Faculty at the University of Cologne and Adjunct Professor at McGill University. Education Ph.D. in Meteorology, University of Miami, 2000 M.S. in Atmospheric Science, University of Athens, Greece, 1996 B.S. in Physics, University of Athens, Greece, 1994 Research Interests Kollias’s research integrates radar engineering, signal processing, and smart-sensor development to advance understanding of cloud and precipitation microphysics, boundary-layer turbulence, and satellite remote sensing . His work spans the design of novel phased-array and space-borne radars, fusion of multi-sensor observations, and agile adaptive observing strategies for weather and climate science. Key thrusts include: Development and deployment of ground-based and airborne radar networks Spaceborne cloud-profiling missions (EarthCARE, WIVERN, INCUS) High-resolution observations of marine boundary-layer clouds and polar mixed-phase systems Algorithms for retrieving vertical air motion, liquid water content, and drizzle microphysics Scientific Awards & Recognition AGU Atmospheric Sciences Ascent Award (2020) NASA Group Achievement Awards (2015, 2003) Humboldt Research Fellowship for Experienced Researchers, Germany (2013–2014) Canada Research Chair (Tier I 2012–2017, Tier II 2007–2012) Visiting Scientist Fellowship, CIRES, University of Colorado (2003–2004) Leadership & Service Since 2020 he directs the SBU–BNL Radar Observatory and since 2017 has led the Center for Multiscale Applied Sensing at BNL. Editorial roles include Editor of the AMS Journal of Applied Meteorology and Climatology (2024–present) and Associate Editor of EGU Atmospheric Measurement Techniques (2019–present). He sits on mission advisory groups for ESA EarthCARE and WIVERN, the NASA INCUS and ACCP science teams, and the DFG Collaborative Research Center CRC1502 advisory board.

Martin Gallagherمشاهده پروفایل

استاد

• Atmospheric Science
• Cloud Microphysics
• Bioaerosols
• +۳ مورد دیگر

Professor Martin Gallagher is a leading atmospheric scientist at The University of Manchester's Earth and Environmental Sciences department. He holds a BSc in Physics (University of Edinburgh, 1982) and a PhD in Modelling & Observations of Airflow over Hills (UMIST, 1986). His research focuses on interdisciplinary atmospheric science, including surface-atmosphere trace gas exchange, cloud microphysics, bioaerosol detection, and airborne instrumentation. He leads projects like the BEACHON Programme and contributes to global initiatives such as IAGOS-ERI and the Facility for Airborne Atmospheric Measurements. Key research areas include cloud-aerosol interactions, ice nucleation in convective systems, and real-time bioaerosol monitoring using UV-LIF spectrometers. His work addresses UN SDGs related to climate action and sustainable cities. Professor Gallagher has coordinated major field campaigns like DCMEX and Fatima-GB, advancing understanding of cloud dynamics in tropical and marine environments. He collaborates internationally, contributing to over 335 research outputs and serving on editorial and advisory boards. Recent studies explore nocturnal pollen fragmentation in urban environments, marine fog microphysics, and ice production mechanisms in deep convective clouds. His projects integrate machine learning for bioaerosol analysis and address societal impacts like aviation safety during ash crises. Grants include the £2.8M Climate and Weather Impacts on Society initiative, focusing on extreme weather and health outcomes.

Paquita Zuidemaمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Cloud Physics
• Climate Modeling
• +۳ مورد دیگر

Paquita Zuidema is a Professor and Chair of the Department of Atmospheric Sciences at the Rosenstiel School of Marine, Atmospheric, and Earth Science , University of Miami. Her research focuses on aerosol-cloud interactions, climate impacts of biomass burning and dust, and large-scale atmospheric processes. She leads major field campaigns such as NASA’s ACTIVATE and the ORACLES initiative, studying aerosol properties, radiative effects, and boundary layer dynamics. Her work integrates remote sensing, airborne measurements, and modeling to address critical questions in climate science, including how aerosols modulate cloud formation and radiative balance. Key areas include African dust transport, Southeast Atlantic low-cloud systems, and the influence of biomass burning on regional climate. Notable contributions include analyzing the “Godzilla” dust event over the Caribbean and advancing understanding of aerosol radiative effects through satellite and in-situ observations. Her research often emphasizes interdisciplinary collaborations to bridge gaps between observational data and climate models. Recent studies highlight her focus on the diurnal cycle of smoky boundary layers, cloud microphysics, and the role of mesoscale organization in cloud dynamics. Her leadership in the Rosenstiel School underscores her commitment to advancing atmospheric science through cutting-edge research and educational initiatives.

• Internet of Things (IoT)
• Smart Grids
• Renewable Energy Systems
• +۳ مورد دیگر

Mohamed A. Ahmed is a researcher affiliated with Central Michigan University, School of Engineering & Technology , with additional collaborations across institutions like Ain Shams University, Memorial University of Newfoundland, and Prince Sultan University. His work spans interdisciplinary domains including Internet of Things (IoT) Smart Grids Renewable Energy Systems Machine Learning Recent research focuses on IoT platforms for smart energy management , including electric vehicle charging infrastructure, remote elderly care systems, and large-scale wind turbine monitoring. He has contributed to wireless network architectures for cyber-physical energy systems and developed fuzzy logic algorithms for EV charging prioritization. Publications highlight expertise in time-series forecasting for energy demand, clustering algorithms for smart grid planning, and data aggregation techniques in wind energy applications. Collaborations frequently involve researchers such as Young-Chon Kim, Ali Mohamed Eltamaly, and José Luis Gallardo.

• Cloud computing
• Cybersecurity
• Software Engineering
• +۷ مورد دیگر

Paal Engelstad is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Computer Science. His research focuses on Cloud computing , Cybersecurity , and Software Engineering , with significant contributions to Graph Neural Networks (GNNs) and their applications in network analysis, renewable energy forecasting, and telecom systems. Research interests span Applied Artificial Intelligence and Autonomous Systems and Networks . Recent publications address spatio-temporal wind forecasting , GNN propagation schemes , and 5G network security . He contributes to advancements in renewable energy integration and telecom protocol analysis .

Fredrik Janssonمشاهده پروفایل

پژوهشگر

• Atmospheric Science
• Climate Modeling
• Computational Physics
• +۵ مورد دیگر

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.

• Atmospheric Physics
• Cloud Physics
• Atmospheric Turbulence
• +۵ مورد دیگر

Szymon P. Malinowski is a full Professor at the Department of Atmospheric Physics, Institute of Geophysics, Faculty of Physics, University of Warsaw, and a corresponding member of the Polish Academy of Sciences since 2020. He served as Director of the Institute of Geophysics from 2016 to 2024 and previously as Head of the Department of Atmospheric Physics (2002-2013). His institutional affiliations include the Polish Academy of Sciences (2020-present) and research collaborations with institutions like Université de Lille (2023-2024) and Johannes Gutenberg-Universität Mainz (2013-2014). Master of Science in Physics (University of Warsaw, 1982) Doctor of Natural Sciences in Geophysics (Institute of Geophysics PAN, 1988) Habilitation in Physical Sciences (Institute of Geophysics PAN, 1998) Professor of Earth Sciences (2008) Malinowski's research centers on atmospheric physics with emphasis on cloud processes and turbulence. His work integrates laboratory experiments (e.g., Π Chamber), field campaigns (EUREC 4 A, ACORES), and numerical modeling to investigate turbulence dynamics in boundary layers, cloud microphysics using shadowgraph imaging, and climate-relevant processes like aerosol-cloud interactions. He pioneered fractal reconstruction techniques for turbulence modeling and developed novel optical hygrometers for airborne measurements. His experimental approach bridges fundamental fluid dynamics with atmospheric applications, particularly in marine stratocumulus systems. Analysis of his 15 most recent publications (2022-2025) reveals three dominant research thrusts: (1) High-resolution turbulence characterization using aircraft and laboratory data, focusing on dissipation scaling and non-equilibrium states; (2) Advanced measurement techniques for cloud microphysics, including low-cost optical sensors and shadowgraph systems; (3) Climate science communication through book chapters on Earth's energy balance and climate crisis mitigation. His work increasingly integrates machine learning approaches for turbulence analysis while maintaining strong connections to observational campaigns. 2017: National 'Science Popularizer' award (team category) for naukaoklimacie.pl 2022: Foundation for Polish Science Award for public science communication 2023: Honorary membership in Chapter Zero Poland Malinowski has supervised 14 PhD students across atmospheric physics and cloud dynamics, with recent graduates including Stanisław Król (2025) on turbulent mixing and Moein Mohammadi (2023) on shadowgraph imaging. He leads the Climate Education Foundation (founded 2021) which produces educational materials reaching over 500,000 annual visitors. His grant portfolio includes EU-funded projects like EUREC 4 A and national initiatives on climate crisis mitigation. He co-founded and directs the Climate Education Foundation, which operates the naukaoklimacie.pl platform and develops educational materials for schools. His research group participates in the European Turbulence Conference organizational committee and conducts field work at the Umweltforschungsstation Schneefernerhaus. Current projects focus on turbulence-cloud interactions in marine environments using data from the EUREC 4 A campaign and developing machine learning tools for atmospheric data analysis.