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Mohammad Jafari JozaniView profile

Professor

• Statistical Methodology
• Biostatistics
• Machine Learning
• +6 more

Mohammad Jafari Jozani is a Professor of Statistics at the University of Manitoba's Faculty of Science. His research focuses on developing statistical methodologies and computational tools for solving complex data problems in diverse fields including healthcare, environmental science, and engineering. He holds leadership roles in the Manitoba Statistical and Health Sciences (MB-SAHS) Collaborating Centre and serves as an Associate Director of the Canadian Statistical Sciences Institute (CANSSI). His work emphasizes applications in osteoporosis research, medical imaging, wind energy modeling, and biostatistical methods. Key collaborations include Project neuroArm (University of Calgary), St. Boniface Hospital, Manitoba Bone Density Program, and Manitoba Hydro. His research integrates machine learning, ranked set sampling, and Bayesian techniques to address challenges in personalized medicine, predictive analytics, and sustainable energy systems. Dr. Jozani’s methodological contributions span small area estimation, robust regression, and finite mixture modeling. His recent studies explore automated medical image analysis for cardiovascular risk prediction, transcranial stimulation efficacy in dementia treatment, and energy storage optimization for wind power grids. He leads the Complex Analytics Research Lab (CARL) and has published extensively in top-tier statistical and interdisciplinary journals.

• Precipitating Convection
• Land-Atmosphere Interactions
• Cloud-Resolving Models
• +5 more

Cathy Hohenegger is a senior researcher and group leader at the Max Planck Institute for Meteorology in Germany, specializing in the Climate Surface Interaction group within the Department of Climate Physics . Her work bridges cloud-resolving modeling with observational campaigns to understand convective processes. Research Interests focus on: Precipitating convection dynamics Land-ocean surface-climate interactions High-resolution Earth system modeling (km-scale and subkm-scale) Radiative-convective equilibrium frameworks Cold pool observational analysis (FESSTVaL campaign) Climate feedback mechanisms between surface and atmosphere Key Publications address: Precipitation-soil moisture feedbacks in explicit vs parameterized convection Tropical land-ocean precipitation asymmetry ICON-Sapphire multi-scale Earth system simulations Cold pool dynamics and observational networks Convective organization in climate models Technical Expertise spans: Global storm-resolving models (DYAMOND, WarmWorld) Land surface-atmosphere coupling Boundary layer processes and cloud dynamics Climate model development (ICON, MPI-ESM)

Roy KoomullilView profile

Associate Professor

• Computational Fluid Dynamics
• Fluid Mechanics
• Aerodynamics
• +4 more

Roy Koomullil is an Associate Professor in the Department of Mechanical Engineering at the University of Alabama at Birmingham (UAB). He specializes in Computational Fluid Dynamics (CFD), High Performance Computing, and Fluid Mechanics. His research integrates aerodynamics, biomedical flow simulation, and machine learning for fluid dynamics challenges. Education: Ph.D. in Aerospace Engineering from Mississippi State University (1997). Prior to UAB, he served as an Assistant Research Professor at the NSF ERC at MSU and a Research Associate at the Naval Research Laboratory. Research Focus: Computational Fluid Dynamics (CFD) with applications in aerospace and biomedical systems Machine Learning integration for wind field prediction and vehicle aerodynamics Morphing structures for autonomous vehicle stability under crosswind conditions Biomedical flow modeling, including tumor microenvironment and MRI phantoms Administrative Roles: Undergraduate Program Director Graduate Program Director Mechanical Engineering Honors Program Director Funding & Grants: Secured research projects from NASA, DoD, NIH, and industry partners. Published in leading journals and reviewed for AIAA Journal. Served as Editor for the Electronic Journal of Differential Equations.

• Computational Magnetohydrodynamics
• Astrophysical Plasmas
• Solar Atmosphere and Corona
• +4 more

Prof. Rony Keppens is a Full Professor at the Department of Mathematics, KU Leuven, leading the Centre for Mathematical Plasma Astrophysics. He holds the ERC Advanced Grant PROMINENT (2019–2024) and has extensive experience in computational plasma astrophysics, including roles at FOM Institute Rijnhuizen and Utrecht University. His research focuses on magnetohydrodynamics (MHD) and astrophysical plasma dynamics, with contributions to numerical methods like MPI-AMRVAC. Keppens has been involved in teaching advanced computational methods for astrophysics at KU Leuven and has collaborated internationally, including at Nanjing University and Purple Mountain Observatory. His work bridges theory and simulation, addressing topics such as solar prominence physics, relativistic MHD, and plasma turbulence. He has supervised numerous PhD students and postdocs, many of whom have secured academic or industrial roles globally. His research emphasizes computational tools for plasma dynamics, with applications to solar and astrophysical systems.

Chelakara SubramanianView profile

Professor

• Fluid Dynamics of Complex Flows
• Aerodynamics Testing
• Wind Engineering
• +4 more

Dr. Chelakara Subramanian is a Professor and Program Chair in the Department of Aerospace, Physics and Space Sciences at Florida Institute of Technology (Florida Tech). He holds affiliations with organizations such as the American Institute of Aeronautics and Astronautics (AIAA) as an Associate Fellow and the American Society of Mechanical Engineers (ASME) as a Senior Member. His research focuses on fluid dynamics, aerodynamics testing, wind engineering, and wireless instrumentation. He has developed and deployed wireless sensor networks (WSNs) to collect real-time data during hurricanes, particularly analyzing wind loads on residential structures and mitigation strategies. Dr. Subramanian has extensive experience in outreach, including mentoring high-school STEM students in wind tunnel testing and hosting international interns. He has consulted on industrial projects related to environmental impacts of wind turbines and hurricane resilience. As a panel reviewer for NASA, NSF, and DoD, he evaluates project proposals and textbooks in fluid mechanics. His research interests span boundary layer meteorology, environmental remediation, and atmospheric sciences. Recent studies include analyzing hurricane wind patterns using LIDAR, optimizing wireless sensor networks for disaster monitoring, and investigating drag reduction in flexible wires at low Reynolds numbers. He has contributed to over 85 publications in journals and conferences, with a focus on experimental and computational fluid dynamics. Dr. Subramanian leads the Florida Tech team in hurricane loss modeling and damage prediction, particularly for residential structures. His work integrates engineering, environmental science, and data analysis to enhance disaster preparedness and infrastructure resilience.

Maarten C.J. HornikxView profile

Professor

• Computational Acoustics
• Building Acoustics
• Sound Propagation Modeling
• +3 more

Maarten C.J. Hornikx is a Full Professor of Building Acoustics at Eindhoven University of Technology (TU/e), serving as Vice-Dean of the Department of the Built Environment. He leads the Building Acoustics Chair within the Unit Building Physics and Services (BPS), specializing in computational modeling of sound propagation in built environments. His research focuses on applications such as sound reproduction in mixed reality platforms and numerical models for vegetation and meteorological effects on sound. He actively promotes open research software, coordinating projects like the H2020-ITN Acoutect and serving as a Marie Curie grant recipient. Education: MSc in Architecture, Building and Planning (Chalmers University of Technology, 2004) PhD in Applied Acoustics (Chalmers University of Technology, 2009) Research Interests: Computational acoustics and numerical modeling Sound propagation in outdoor and indoor environments Acoustic effects of vegetation and meteorology Open-source software development for acoustics Mixed reality sound reproduction Recent Trends in Publications: Recent work emphasizes open-source tools for acoustic simulation, neural network applications in sound prediction, and optimization of acoustic materials. Key themes include improving accuracy in room acoustic modeling and understanding environmental influences on sound propagation. Awards: Forum Acusticum Prize (2011) Grants & Projects: Marie Curie IF Grant (2009-2011) Marie Curie Career Integration Grant (2012) H2020-ITN Acoutect Project (coordinator) Burgermeetnetwerk Groene Hart Project (2022-2024) Labs & Teams: Leads the Building Acoustics research group at TU/e and collaborates with the 4TU.Built Environment Center. Active in organizing international workshops and courses on acoustics, including the Autumn School Series in Acoustics and EAA Summer School.

• Electromagnetics
• Finite Element Methods
• Magneto-Quasi-Static Problems
• +5 more

Ruth Vazquez Sabariego is a Professor at KU Leuven in Belgium, with her office located at Kasteelpark Arenberg 10, box 2445, 3001 Leuven. She maintains an active research program in computational electromagnetics and power electronics with numerous recent publications and ongoing PhD supervision. Her research interests span Electromagnetics , Finite Element Methods , Magneto-Quasi-Static Problems , Power Electronics , Magnetic Components , and the application of Physics-Informed Neural Networks to electromagnetic problems. She has pioneered work in homogenization techniques for magnetic components, simulation of electromagnetic phenomena, and the application of machine learning to traditional electromagnetic problems. Analysis of her recent publications reveals a strong trend toward integrating machine learning with traditional electromagnetic simulation techniques, particularly physics-informed neural networks for solving magneto-quasi-static problems. Her work also shows consistent development of homogenization methods for windings and magnetic cores, with increasing focus on thermal-electromagnetic coupling in power electronics applications. Professor Sabariego actively supervises PhD students as both promotor and co-promotor, including Thomas Jochmans (2024), Michele Vescovo (2025), Jiaze Kong (2023), Sina Toghranegar (2023), and Ziqing Guo (2022). Her research group is involved in multiple significant projects including 'Magnetic components for on-board chargers of electric vehicles', 'Hosting capacity improvement of power electronic converters', and 'AI Development for topology optimisation of magnetics and cooling systems'. Her laboratory work focuses on electromagnetic field computation, particularly for power electronics applications. The research involves developing advanced numerical methods for simulating magnetic components, with recent emphasis on integrating machine learning techniques with traditional finite element approaches to improve computational efficiency while maintaining accuracy.

Kerstin BorrasView profile

Professor

• Experimental Particle Physics
• Standard Model
• High-Energy Physics
• +4 more

Kerstin Borras is a Professor of Physics at RWTH Aachen University and a Leading Scientist at DESY, Germany's national research center for particle accelerators. She specializes in experimental particle physics, particularly in the analysis of the Standard Model and the strong interaction, with extensive experience in detector development for high-energy physics experiments. Affiliations: DESY (German Electron Synchrotron) RWTH Aachen University CMS Experiment Collaboration at CERN's LHC Her research focuses on CMS experiment operations at the LHC, including detector design, data analysis, and quench protection for superconducting magnets. She has led the DESY CMS group and serves as Deputy Spokesperson for the CMS collaboration. Borras' work bridges accelerator physics and detector technology, emphasizing superconducting RF cavities and material science for particle accelerators. Key contributions include advancing Nb3Sn magnet technologies, optimizing quench protection systems, and developing thin-film superconductors for next-generation accelerators. She actively participates in international committees like the Helmholtz Think Tank and the European Committee for Future Accelerators (ECFA). Research Themes: High-energy collider physics Superconducting magnet systems Detector development for particle physics experiments Material science for accelerator components

• Meteorology
• Atmospheric Science
• Solar Radiation
• +3 more

Wouter Mol is an External Employee in the Department of Meteorology and Air Quality at Wageningen University. He completed his PhD in 2024 under the supervision of Prof. Vilà-Guerau de Arellano and Prof. van Heerwaarden, focusing on mechanisms of solar irradiance variability under broken clouds. His research integrates atmospheric physics, remote sensing, and climate dynamics, with a focus on cloud-surface interactions and radiative processes. Key research interests include solar irradiance variability, cloud physics, and boundary layer meteorology. He has contributed to major datasets on solar irradiance climatology and participated in field experiments like CloudRoots-Amazon22, linking cloud dynamics to photosynthesis in tropical ecosystems. His work has been published in journals such as Atmospheric Chemistry and Physics and Quarterly Journal of the Royal Meteorological Society , with datasets archived on Zenodo. Mol has provided expert commentary on weather phenomena such as extreme hailstones and volcanic eruptions, demonstrating engagement with public outreach and interdisciplinary collaboration.

• Earthquake Engineering
• Structural Reliability
• Probabilistic Methods
• +5 more

Cihan Ciftci is an Assistant Professor in the Department of Civil Engineering at Abdullah Gul University, Turkey. His research focuses on structural reliability, probabilistic methods in engineering, tree dynamics, and fragility analysis of structures under environmental loads. He holds a PhD from the University of Massachusetts, Amherst (2012), and degrees from Bogazici University (BSc 2007, MSc 2009). Education: BSc in Civil Engineering, Bogazici University (2007) MSc in Civil Engineering, Bogazici University (2009) PhD in Civil and Environmental Engineering, University of Massachusetts, Amherst (2012) Research Interests: Earthquake engineering, probabilistic methods in structural mechanics, finite element modeling, fragility analysis of trees and bridges, Monte-Carlo simulations, and static/dynamic structural analyses. Key Achievements: Principal Investigator (PI) for TUBITAK-funded projects on fragility curves for bridges and tree structures (2014). Authored 3 SCI-indexed journal articles and multiple conference proceedings. Awards & Funding: Fulbright Opportunity Grant (2009) McClure Tree Fund Fellowship (2009–2012) Top 0.14% rank in Turkey’s National University Entrance Exam (2002) Labs/Teams: Leads structural reliability and arboricultural engineering research groups at Abdullah Gul University, focusing on computational modeling and field experiments.

Caleb FultonView profile

Associate Professor

• Digital Phased Array Radar
• Antenna Design
• Weather Radar Systems
• +3 more

Dr. Caleb Fulton is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Oklahoma's Gallogly College of Engineering. He leads research in advanced radar systems at the Advanced Radar Research Center, focusing on digital phased arrays, antenna design, and weather radar applications. His work emphasizes calibration, polarization correction, and low-cost transceiver integration. Dr. Fulton holds B.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University (2006 and 2011). His research has been recognized with awards including the 2015 DARPA Young Faculty Award and the 2009 Purdue Eaton Alumni Award. He is a Senior Member of IEEE and contributes to its Antennas and Propagation Society. Research interests include digital beamforming, phased array calibration, cognitive radar, and multi-static radar networks. His lab develops systems like the Horus all-digital phased array radar and the Mobile C-band Polarimetric Atmospheric Imaging Radar (PAIR). Key innovations involve UAV-based antenna testing, Doppler bias correction in tornado debris analysis, and multistatic weather prediction. Scientific awards include recognition for radar design excellence and contributions to digital array technology. His work bridges radar engineering with atmospheric science, addressing challenges in severe weather observation and next-generation radar systems. Labs affiliated with Dr. Fulton include the Advanced Radar Research Center and the Radar Innovations Lab, where he oversees projects on radar calibration, antenna measurement, and real-time weather data systems.

• Hypersonics
• Aerodynamics
• Fluid Dynamics
• +4 more

Dr. Andrew Lock is a Research Fellow at the University of Southern Queensland's Institute for Advanced Engineering and Space Sciences, specializing in hypersonics, aerodynamics, and thermal systems. He holds a BEng(Hons) from the University of Tasmania and a PhD from the University of Queensland. His research focuses on hypersonic vehicle design, aerodynamic modeling, and advanced thermal management solutions for energy systems. Key areas include co-design frameworks for hypersonic vehicles, Bayesian state estimation in free-flight measurements, and supercritical CO₂ power cycle optimization. Dr. Lock's work bridges experimental and computational methods, with contributions to optical tracking systems, trajectory analysis, and innovative cooling technologies. His recent studies address challenges in multi-mission vehicle design, shock layer radiation analysis, and nonlinear flight dynamics using the Koopman operator. He has also developed simulation tools like q1dcfd for thermofluid systems and validated low-speed rotating wind tunnel designs. His research portfolio spans over a decade, with publications on hypersonic aerodynamics, thermal engineering, and aerospace system integration. Notable projects include collaborations on Hayabusa2 entry dynamics and the development of dry cooling strategies for sustainable energy applications. While no formal advisees are listed, his interdisciplinary approach influences next-generation aerospace and energy systems.

• Hybrid Variational/DL methods under topological constraints
• Hybrid Variational/DL methods under geometric constraints
• PDE Analysis and numerical simulation
• +5 more

Carole Le Guyader is an Associate Professor in the Mathematical and Software Engineering Department at the National Institute of Applied Sciences of Rouen (INSA Rouen), France. She has been actively contributing to the fields of image processing, mathematical analysis, and computational methods since joining INSA Rouen in 2009, after previously serving as an Assistant Professor at INSA Rennes from 2005 to 2009. Her academic leadership extends to various administrative roles including Head of Mathematics teaching at the STPI INSA Rouen department since 2019 and Director of the Mathematical Engineering Department since 2013. Dr. Le Guyader earned her Habilitation to Supervise Research on November 16, 2012, at Rouen University with the thesis titled "Contribution to the mathematical analysis of images: segmentation, registration and decomposition." Her habilitation jury included distinguished mathematicians such as Grégoire ALLAIRE from Ecole Polytechnique and Gabriel PEYRE from University Paris-Dauphine. Her primary research interests focus on the development and application of variational methods and deep learning techniques for image processing, with particular emphasis on incorporating topological and geometric constraints. She investigates mathematical models for image segmentation, registration, and decomposition, applying these techniques to biomedical imaging, geophysics, and other scientific domains. Her work bridges theoretical mathematics with practical applications in medical diagnostics and industrial settings. Le Guyader's publication record demonstrates a consistent focus on advancing image processing methodologies, particularly in the integration of traditional variational approaches with modern deep learning techniques. Her recent work shows increasing emphasis on medical applications, especially in radiotherapy planning and MRI reconstruction, where geometric and topological constraints play critical roles in ensuring clinically meaningful results. Dr. Le Guyader has successfully supervised multiple PhD students throughout her career, demonstrating her commitment to mentoring the next generation of researchers. Her collaborative approach is evident in her extensive network of academic and industrial partnerships across Europe and the United States. She has secured and managed numerous research projects including the LMI project "Mathematical Imaging and Digital Analysis" at CRIHAN since 2013, and the wind field modeling project with LABEX AMIES since 2014. Her leadership extends to coordinating INSA teams at the GENCI/CRIANN Hackathon since 2017 and participating in regional and European research initiatives.

• Fluid Mechanics
• Turbulent Flows
• Wind Energy
• +3 more

Leon Li is a Research Fellow in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), conducting experimental research on wake behaviors of objects ranging from simple geometries to wind turbines under turbulent flow conditions. His work utilizes advanced diagnostics including constant temperature anemometry (CTA), laser Doppler anemometry (LDA), and particle image velocimetry (PIV) in a water channel facility with active turbulence control. His research interests focus on Fluid Mechanics, Turbulent Flows, and Wind Energy, with specific expertise in aerodynamic interactions, wake dynamics, and air-water interface phenomena. Li employs experimental methodologies to investigate how freestream turbulence influences pressure distributions, vortex structures, and energy transfer mechanisms in complex fluid systems. Analysis of his 11 publications from 2019-2025 reveals consistent emphasis on experimental fluid dynamics applications in renewable energy and environmental systems, particularly wind turbine aerodynamics and turbulence-gas transfer relationships. His collaborative work demonstrates methodological rigor in turbulence generation and flow measurement techniques. Li operates within NTNU's experimental facility at Strømningsteknisk, Gløshaugen, where he utilizes active grid systems in water channels to simulate controlled turbulent environments for studying object-fluid interactions across multiple scales.

Bayram ÇelikView profile

Professor

• Hypersonic Flows
• Shock-Boundary Layer Interactions
• Computational Fluid Dynamics
• +3 more

Bayram Çelik is a Professor in the Department of Astronautical Engineering at Istanbul Technical University's College of Aeronautics. His research focuses on hypersonic flows, shock-boundary layer interactions, and computational fluid dynamics with applications in atmospheric re-entry systems. His research interests span Hypersonic Flows , Shock-Boundary Layer Interactions , and Heat Transfer Enhancement . Recent work examines vortex formation mechanisms in high-speed flows, non-equilibrium dissociating nitrogen flows, and conjugate heat transfer using advanced numerical methods including lattice Boltzmann and high-order Euler solvers. Selected publications demonstrate expertise across fluid dynamics subfields: 2025: Mach 7 reacting flows over double wedges 2023: Shock stand-off distances in non-equilibrium flows 2021: ENO/AUSM schemes for compressible solvers Scientific recognition includes: En iyi Sunum Ödülü (Best Presentation Award) - 2003 He leads multiple research projects including hypersonic flow modeling for atmospheric re-entry, wind tunnel testing for solar-powered vehicles, and computational modeling of thermal power plant systems using OpenFOAM. His supervised work encompasses 16 research projects with applications in aerospace and energy systems.