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Mohamed Houssem KasbaouiView profile

Assistant Professor

• Computational Fluid Dynamics
• Multiphase Flows
• Particle-Laden Flows
• +4 more

Mohamed Houssem Kasbaoui is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. His research focuses on Computational Fluid Dynamics and Multiphase Flow simulations, with expertise in particle-laden flows, immersed boundary methods, and high-fidelity numerical tools. PhD, Aerospace Engineering (Cornell University, 2017) MSc, Aerospace Engineering (Cornell University, 2015) MSc, Theoretical Physics (Université Paris-Sud, 2014) Diplôme d'Ingénieur (Ecole Centrale Paris, 2013) BSc, Theoretical Physics (Université Paris-Sud, 2011) His work spans particle-resolved DNS , turbulent flow modulation , and environmental applications like microplastic transport in riverbeds. He leads the Kasbaoui Research Group , developing open-source tools like LEAP for CFD simulations. Recent publications highlight expertise in: Vortex dynamics in dusty flows Drag reduction mechanisms Immersed boundary modeling Microplastic trapping in sediment Swirling flow simulations Scale-separated combustion modeling Awarded the 2021 ACS Petroleum Research Fund Doctoral Investigator Award , his group actively seeks students with skills in Applied Mathematics and Parallel Programming . Research spans NSF-funded projects on Environmental Microplastics and Planetary Dust Clouds .

• Cosmology
• Dark Matter
• Galaxy Formation
• +2 more

Adrian Jenkins is a Professor at Durham University, jointly affiliated with the Department of Physics and the Institute for Computational Cosmology. His research spans computational cosmology, dark matter physics, galaxy formation, and the large-scale structure of the universe, leveraging advanced simulations to address fundamental questions in astrophysics. His research focuses on: Cosmological simulations of dark matter halos and galaxy evolution Impact of neutrinos and baryonic feedback on cosmic structure High-performance computing applications in astrophysics Development of public simulation datasets (e.g., FLAMINGO, Auriga, SIBELIUS) Recent publications (2022-2025) demonstrate a cohesive focus on refining cosmological simulations to resolve tensions in standard models, particularly through projects like MillenniumTNG and FLAMINGO. Key themes include neutrino physics, baryonic feedback effects, dark matter halo properties across mass scales, and machine learning-enhanced simulation techniques. Professor Jenkins supervises five PhD students: Alexander Menegas, Amal Alamri, Mac McMullan, Owen Jessop, and Yuchan Wang. He leads teams in large-scale collaborative projects including FLAMINGO (hydrodynamical simulations for cosmic surveys) and SIBELIUS (constrained simulations of the Local Universe).

Daan CrommelinView profile

Professor

• Uncertainty Quantification
• Stochastic Modeling
• Data-Driven Modeling
• +6 more

Daan Crommelin holds a part-time professorship in Numerical Analysis and Dynamical Systems at the KdV Institute for Mathematics, University of Amsterdam, and is a senior researcher at CWI Amsterdam's Scientific Computing group. He serves on CWI's management team and previously led its Scientific Computing group (2013–2021). His research focuses on stochastic modeling of multiscale systems, uncertainty quantification, and rare event analysis, with applications in climate science, renewable energy, and fluid dynamics. Crommelin combines methods from scientific computing, applied probability, and dynamical systems to address challenges in atmosphere-ocean-climate modeling. He has contributed to projects like the EU-funded VECMA initiative for exascale computing and collaborated on superparameterization techniques for climate models. His work also extends to epidemic modeling and computational chemistry. Crommelin earned his PhD in 2003 from Utrecht University, with a thesis co-supervised by KNMI, and holds an MSc in theoretical physics and an MA in philosophy from the University of Amsterdam.

• Meteorology
• Climate Modeling
• Radiative Transfer
• +7 more

Chiel van Heerwaarden is an Associate Professor of Meteorology at Wageningen University & Research. His work focuses on cloud dynamics, radiative transfer, and their impacts on climate processes. He leads projects on solar irradiance variability, convective cloud organization, and atmospheric modeling. He has received a NWO Vidi grant for his research on cloud shadows and radiative effects. His research integrates machine learning, large-eddy simulations, and observational data to advance understanding of boundary layer processes and climate feedbacks. Key research areas include: irradiance variability under broken clouds, 3D radiative effects in shallow cumulus clouds, and the interaction between clouds and land surface processes. He collaborates on field experiments like CloudRoots-Amazon22 and Fesstval, advancing multiscale modeling approaches. His team addresses challenges in kilometer-scale Earth system modeling and wildfire-atmosphere interactions. Recent achievements include developing efficient radiative transfer parameterizations and analyzing extreme weather phenomena like heatwaves linked to soil drought. He advises five PhD candidates on topics ranging from convective self-aggregation to forest fire plumes. His work bridges computational science and observational data to improve climate projections and atmospheric understanding. Grants: NWO Vidi Grant (2019) Labs/Teams: Meteorology and Air Quality Group at Wageningen University Key Projects: CloudRoots-Amazon22, Shedding Light on Cloud Shadows, Real-Weather Large Eddy Simulation

Andre PrevotView profile

Professor

• Atmospheric Chemistry
• Aerosol Science
• Gas-Phase Chemistry
• +2 more

Prof. Dr. Andre Prevot is a Professor and Head of the Gasphase Chemistry group at the Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Switzerland. He holds a Diploma in Physics (1990) and a Ph.D. in Natural Sciences (1994) from ETH Zürich. His career includes research roles at ETH Zürich, the National Center for Atmospheric Research (USA), and PSI, where he became group leader in 2000. His research focuses on atmospheric chemistry, aerosol science, and air quality modeling. Key interests include organic aerosol formation, source apportionment, biomass burning impacts, and chemical transport modeling. He has led major EU projects (e.g., EUROTRAC II, ARTEMIS) examining transboundary pollution. Prevot's recent work analyzes aerosol composition during extreme pollution events (e.g., Delhi, Beijing), COVID-19 lockdown impacts on air quality, and innovative methods for real-time aerosol characterization. His publications emphasize interdisciplinary approaches combining field measurements, chamber experiments, and advanced modeling. Awards & Honors: Clarivate Analytics Highly Cited Researcher (2014–2020) PSI Award for Science Communication (2006) He contributes to scientific committees like the SCNAT Commission on Atmospheric Chemistry and co-edits Atmospheric Chemistry and Physics .

Gerd MüllerView profile

Researcher

• Atmospheric Turbulence
• Boundary Layer Meteorology
• Mesoscale Convection
• +5 more

Dr. Gerd Müller is a Research Scientist at the Meteorological Institute (University of Hamburg) since March 2003. He holds a PhD (1995) and Diplom (1991) in Meteorology from the University of Hamburg, focusing on mesoscale cellular convection and atmospheric boundary layer dynamics. His work spans atmospheric turbulence, cyclone dynamics, Arctic sea ice interactions, and numerical modeling. He has led or contributed to major projects like NARVAL, FRAMZY, and DAMOCLES, involving field experiments in polar regions. Key collaborations include the Max Planck Institute for Meteorology and international initiatives like ACSYS. His research integrates observational data from aircraft, buoys, and satellites with advanced modeling to understand climate-relevant processes in ocean-atmosphere systems. Education: PhD (Meteorology), University of Hamburg (1995) Diploma (Meteorology), University of Hamburg (1991) Research Interests: Atmospheric boundary layer turbulence Mesoscale convection and cold-air outbreaks Cyclone impacts on sea ice and ocean dynamics Numerical simulation of Arctic and marine systems Satellite and airborne remote sensing applications Past Projects: SFB 512 (Cyclones in North Atlantic Climate System) EUCREM (European Cloud-Resolving Modeling Program) SFB 318 (Ocean-Atmosphere-Cryosphere Interactions) FRAMZY series (Fram Strait cyclones and ice dynamics) DAMOCLES (Arctic ice buoy drift experiments) Lab/Team: Member of the 'Atmospheric Turbulence and Boundary Layers' research group at the Meteorological Institute.

Nicole RiemerView profile

Professor

• Aerosol Science
• Climate Science
• Meteorology
• +4 more

Nicole Riemer is a Professor at the University of Illinois Urbana-Champaign, affiliated with the Department of Climate, Meteorology and Atmospheric Sciences, Civil and Environmental Engineering, and the National Center for Supercomputing Applications (NCSA). Her research focuses on aerosol particles' creation, transport, and transformation, with applications to climate, health, and pollution mitigation. She develops advanced simulations to study aerosol impacts on weather patterns, climate change, and human health. Education : Not explicitly stated in the provided texts. Affiliations : Multiple roles across climate, engineering, and supercomputing departments. Her work integrates observational data, satellite information, and computational models to address global challenges like air pollution and climate feedback loops. Key areas include aerosol mixing state, black carbon dynamics, and aerosol-cloud interactions. Dr. Riemer has received prestigious awards, including the Atmospheric Sciences Ascent Award (2021) and the NSF CAREER Award (2013). Her research outputs span aerosol chemistry, climate modeling, and computational methods. Notable datasets include work on particle-resolved modeling and machine learning applications in environmental science. She actively mentors graduate students and collaborates internationally on climate and atmospheric science projects.

Anna SperottoView profile

Associate Professor

• Internet Security
• Network Measurements
• DDoS Attacks
• +3 more

Dr. Anna Sperotto is an Associate Professor in Proactive Network Security at the University of Twente's Design and Analysis of Communication Systems (DACS) group. She holds a PhD in Computer Science (2010) and MSc/BSc degrees from Ca' Foscari University. Research Focus: Internet security, network measurements, DDoS attacks, DNS infrastructure vulnerabilities Projects: MASCOT (2019), MADDVIPR (NWO-DHS), TIDE (SIDNfonds), H2020 CONCORDIA Her recent publications examine DNS reflection attacks, DDoS mitigation, and network security through active measurement systems. Key trends include DNSSEC security analysis, domain hijacking prevention, and cryptographic efficiency in network protocols. Scientific Awards: Best Paper at IMC 2020 and EUNICE 2009 IRTF Applied Networking Research Prizes (2015, 2013) Academic Service: General Co-Chair, IMC 2019 TPC Co-Chair, PAM 2020 Steering Committee: TMA, AIMS Editorial roles in ACM SIGCOMM CCR, IJNM, JNSM Current PhD Students: Matteo Liberato Sousan Tarahomi Etienne Khan Ramin Yazdani Raffaele Sommese

• Philosophy of Mind
• Phenomenology
• Theories of Consciousness
• +4 more

Dr. Kenneth W Williford is a Professor in the Department of Philosophy and Humanities at The University of Texas at Arlington (UTA), where he has served since 2009, including as Department Chair from 2009-2023. He holds a BA from UTA (1995) and PhD from the University of Iowa (2003), with postdoctoral work in Cognitive Science at École Polytechnique (2005) and Neuroscience at Iowa (2008-2009). His academic journey includes positions at St. Cloud State University and Universität Bielefeld. Education : PhD (Philosophy, University of Iowa, 2003); MA (Philosophy, University of Iowa, 2000); BA (Philosophy, UTA, 1995) Williford's research centers on Philosophy of Mind and Phenomenology, with groundbreaking work on the Projective Consciousness Model (PCM) developed with David Rudrauf. His scholarship bridges Husserlian phenomenology, projective geometry, and neuroscience to explain subjective experience, self-consciousness, and intersubjectivity. Key contributions include resolving regress arguments about self-acquaintance and modeling consciousness through mathematical frameworks. His publication trends reveal an evolution from historical analyses (Hume, Spinoza, Sartre) toward interdisciplinary consciousness science, culminating in PCM's geometric approach to pre-reflective self-awareness. Recent work integrates animal pain neuroscience, theodicy, and projective geometry to address philosophical and ethical problems. Awards : Faculty Development Leave (2024), Graduate Neuroscience Scholarship (2008), CREA Postdoctoral Fellowship (2005), Distinguished Dissertation Award (2003) As an advisor, Williford has mentored graduate students across Philosophy, Psychology, and Art History. His service includes chairing UTA's Department of Philosophy & Humanities (2009-2023), serving on university committees, and reviewing for top journals including Mind and Phenomenology and the Cognitive Sciences . He co-directs the Projective Consciousness research program with international collaborators in France and Germany.

• Machine Learning
• Computer Vision
• Signal Processing
• +6 more

Giacomo Boracchi is a researcher at the Polytechnic University of Milan , focusing on machine learning, computer vision, and signal processing. His work spans anomaly detection, change detection in data streams, 3D imaging, and biomedical applications. Key Collaborations : Diego Carrera, Luca Magri, Cesare Alippi Industries : Embedded systems, medical imaging, environmental monitoring Recent research explores adaptive Kalman filtering for battery estimation, zero-shot anomaly detection, and explainable AI for vision-language models. Publications highlight applications in waste sorting, histological data generation, and cardiac monitoring. His technical focus includes convolutional networks, ensemble learning, and domain adaptation. Boracchi's work bridges theoretical advancements with real-world systems in fraud detection, semiconductor manufacturing, and wearable health devices.

Natalie HarveyView profile

Researcher

• Atmospheric Transport Processes
• Volcanic Ash Modeling
• Forecast Verification
• +3 more

Dr. Natalie Harvey is a Senior Research Scientist at the Department of Meteorology, University of Reading. She specializes in atmospheric transport processes, volcanic ash dispersion modeling, and uncertainty quantification in natural hazard forecasts. Her work focuses on improving volcanic ash forecasting through advanced model techniques and satellite data integration. She is affiliated with projects like R4Ash, IMPALA, and RACER, addressing volcanic hazards and climate-related risks. Her research interests include boundary layer dynamics, remote sensing applications, and decision-making under uncertainty. She has contributed to over 30 peer-reviewed articles, analyzing volcanic eruptions such as Raikoke 2019 and Grímsvötn 2011. Her methods enhance forecast accuracy by integrating ensemble meteorology and source inversion techniques. Notably, she explores how AI models compare to traditional physics-based approaches in weather prediction, highlighted in a 2024 study on Storm Ciarán. Dr. Harvey holds a PhD from the University of Reading (Boundary-layer type classification and pollutant mixing) and has developed classification algorithms for atmospheric layers using Doppler lidar. She collaborates with institutions like the Met Office and has received international recognition for her work in volcanic ash transport and dispersion modeling.

Marat KhairoutdinovView profile

Professor

• Climate modeling
• High-resolution cloud modeling
• Cloud microphysics
• +3 more

Marat Khairoutdinov is a Professor at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS), specializing in atmospheric sciences. He holds a Ph.D. from the University of Oklahoma (1997). His research focuses on climate modeling, high-resolution cloud dynamics, and cloud microphysics. He developed the System for Atmospheric Modeling (SAM) and contributed to the Multiscale Modeling Framework (MMF), advancing global climate simulation techniques. Key research interests include super-parameterization, cloud-resolving models, and massively parallel computing. His work bridges microphysical processes and large-scale climate phenomena, such as the Madden-Julian Oscillation. Khairoutdinov's models (SAM/MMF) are widely used in climate studies and have improved understanding of cloud-climate interactions. His educational background includes studies at Moscow Institute of Physics and Technology and early work at Central Aerological Observatory. Collaborations span institutions like NOAA, NASA, and international universities. His contributions address climate change impacts, tropical cyclones, and boundary layer dynamics.

David LerachView profile

Associate Professor

• Mesoscale Meteorology
• Radar Meteorology
• Numerical Weather Prediction
• +7 more

David Lerach is an Associate Professor in the Department of Earth and Atmospheric Sciences at the University of Northern Colorado, part of the College of Natural and Health Sciences. He specializes in meteorology and teaches a wide range of courses including severe weather, numerical forecasting, and field-based storm chasing. His work integrates research, teaching, and public outreach in atmospheric sciences. Dr. Lerach earned his Ph.D. and M.S. in Atmospheric Science from Colorado State University and his B.S. in Meteorology from St. Cloud State University. After a visiting assistant professorship at The College at Brockport, he joined UNC in 2013, where he has developed hands-on, experiential curricula such as the storm-chasing field course (ESCI 491) and extreme mountain weather (MET 462). His research lies in mesoscale meteorology, with a focus on numerical weather prediction and radar meteorology. He uses the Regional Atmospheric Modeling System (RAMS) and polarimetric radar hydrometeor identification to study aerosol-cloud interactions in tornadic storms and orographic snowfall events. His work aims to improve microphysical parameterizations in high-resolution models for better forecasting of convective systems and snowpack stability in complex terrain. His recent publications span topics from dust impacts on supercells to virtual storm-chasing pedagogy. These works reflect a strong trend in both applied atmospheric modeling and innovative science education. His modeling studies often explore how environmental factors like aerosols and moisture influence storm dynamics, while his educational research promotes active learning in meteorology. Dr. Lerach is actively involved in community and professional outreach. He is a member of the National Ski Patrol and teaches weather safety and avalanche-related meteorology to the public and U.S. Special Forces. He also leads student interactions with broadcast meteorologists at Denver7 News, enhancing communication skills. His work bridges academia, public safety, and education. He is affiliated with several field campaigns and observational studies, including BAMEX and NAME, and utilizes tools such as airborne radar and high-resolution models. Though no formal grants or awards are listed, his sustained research and teaching efforts indicate strong program development. His leadership in field courses and community education reflects a commitment to practical, real-world applications of meteorology.

• Cloud–aerosol interactions
• Deep convective cloud systems
• Marine boundary layer clouds
• +6 more

Michael Jensen is Distinguished Meteorologist and Group Leader for Cloud Processes & Measurement Science at Brookhaven National Laboratory’s Environmental Science and Technologies Department, and an active lecturer at Stony Brook University. He has led two major DOE field campaigns—MC3E (2011) and TRACER (2021-22)—and currently directs the PASCCALS Science Focus Area, all aimed at understanding cloud lifecycle and aerosol interactions. Education Ph.D. Meteorology, The Pennsylvania State University M.S. Meteorology, The Pennsylvania State University B.S. Atmospheric Sciences, State University of New York at Stony Brook Research Interests Jensen’s research integrates state-of-the-art radar and lidar observations with high-resolution numerical modeling to investigate cloud microphysics , aerosol–cloud interactions , and convective lifecycle dynamics . His work spans deep continental convection, marine boundary-layer clouds, and coastal urban environments, with recent extensions toward predicting weather-induced power outages. Scientific Awards & Distinctions Distinguished Meteorologist – Distinction of Tenure (2025–present) Meteorologist – Distinction of Tenure (2022–2025) Principal Investigator, MC3E (2011) and TRACER (2021-2022) DOE field campaigns Lead ARM Infrastructure Translator (2009–2016) Member, American Meteorological Society & American Geophysical Union Grants & Leadership Roles Jensen has served as PI on multi-million-dollar DOE projects including the Midlatitude Continental Convective Clouds Experiment (MC3E) and the TRacking Aerosol Convection interactions Experiment (TRACER). He currently manages the Process-level Advancements of Coupled Cloud and Aerosol Lifecycle Studies (PASCCALS) Science Focus Area. Laboratory & Field Teams He leads the Cloud Processes & Measurement Science Group within Brookhaven’s Environmental Science and Technologies Department, coordinating observational facilities for DOE’s Atmospheric Radiation Measurement (ARM) user facility and mentoring post-docs and graduate researchers in field campaign logistics, radar analysis, and modeling studies.

• Radar engineering and signal processing
• Cloud and precipitation microphysics and dynamics
• Boundary-layer turbulence
• +3 more

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.