جست‌وجوی استاد و پژوهشگر

Lisa Maria Kreusserمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Machine Learning
• Data Analysis
• +۴ مورد دیگر

Dr. Lisa Maria Kreusser is a Reader (equivalent to Associate Professor) at the University of Bath's Department of Mathematical Sciences and Fellow at the Institute for Mathematical Innovation. Her research integrates partial differential equations, data analysis, and machine learning with applications spanning biology, climate modeling, and engineering. Her research program focuses on: Mathematical foundations of machine learning Numerical methods for PDEs Multiscale modeling in climate science Applications in healthcare technology Innovations in optimization algorithms Her recent publications (2019-2025) demonstrate strong interdisciplinary focus with 33% in machine learning foundations, 27% in scientific computing, 20% in applied mathematics, and 13% in healthcare/climate applications. Core themes include diffusion models, optimization theory, and computational methods for physical systems. Significant scientific recognition includes: Reinhart Heinrich Award from ESMTB (2020) Rising Stars in Computational and Data Sciences (2020) Multiple grants including ICMS Knowledge Exchange Catalyst Fellowship (2023-24) Nevile Junior Research Fellowship at Magdalene College, Cambridge (2019-2022) She leads interdisciplinary projects on digital health interventions for chronic diseases and renewable energy auctions. As Environmental Extremes Lead at IMI, she coordinates climate-related mathematical research.

Mohammad Farazmandمشاهده پروفایل

استادیار

• Applied Dynamical Systems
• Control Theory
• Optimization
• +۴ مورد دیگر

Mohammad Farazmand is an Assistant Professor in the Department of Mathematics at North Carolina State University (NC State). His research focuses on applied dynamical systems, control theory, optimization, and data-driven methods. He holds a PhD in Mathematics from ETH Zurich (2014). His work emphasizes stochastic modeling in epidemiology and environmental systems, fluid dynamics, and the development of numerical methods for partial differential equations (PDEs). Key contributions include enforcing conservation laws in numerical discretizations, quantifying uncertainties in stochastic compartmental models, and predicting extreme events like wildfires using sparse sensor data. He also explores reduced-order modeling and shape-morphing techniques for efficient simulation of complex systems. Recent publications span journals like Nonlinear Dynamics , Journal of Computational Physics , and Proceedings of the Royal Society A , highlighting interdisciplinary applications in fluid mechanics, epidemiology, and wildfire risk assessment. Farazmand collaborates with research groups in Control, Optimization, and Modeling; Numerical Analysis and Scientific Computing; and Ordinary/Partial Differential Equations. His methods bridge deterministic and probabilistic frameworks to address challenges in state estimation and rare event prediction.

Thomas Abadieمشاهده پروفایل

استادیار

• Fluid Mechanics
• Multiphase Flows
• Interfacial Phenomena
• +۵ مورد دیگر

Thomas Abadie is an Assistant Professor at the University of Birmingham's School of Chemical Engineering. His research focuses on fluid mechanics, multiphase flows, and interfacial phenomena with applications in environmental and industrial challenges. He employs experimental techniques (e.g., Particle Imaging Velocimetry) and numerical methods (e.g., interface capturing/tracking) to study bubble dynamics, complex fluids, and mass transfer processes. His work spans scales from microreactors to industrial aeration systems. Abadie holds a PhD in Fluid Mechanics (2013) and an MSc in Fluid Mechanics, Energy, and Transport Phenomena from the University of Toulouse (2010). He teaches courses on transport phenomena and supervises undergraduate and graduate research projects. His research explores topics such as viscoelastic fluid dynamics, Richtmyer-Meshkov instabilities, and graphene synthesis. Recent studies emphasize machine learning integration with multiphase flow modeling and data-driven approaches to drop size distributions. His work bridges computational methodologies with real-world applications in energy and environmental systems. Abadie serves as a reviewer for journals like Chemical Engineering Science and Journal of Fluid Mechanics , and consults on CFD and multiphase systems. His collaborations span academia and industry, addressing challenges in wastewater treatment and renewable energy systems.

Amin Rahmatمشاهده پروفایل

استادیار

• Soft Matter Modelling
• Computational Fluid Dynamics
• Multiphase Flows
• +۳ مورد دیگر

Dr. Amin Rahmat is an Assistant Professor in Soft Matter Modelling at the School of Chemical Engineering, University of Birmingham. His research focuses on computational models for microscale multiphase flows and fluid-solid interactions, addressing physics-driven interfacial singularities. He leads interdisciplinary projects at the intersection of chemical engineering, applied mathematics, bioengineering, and healthcare. He has collaborated with over 30 international researchers, forming an active network across diverse disciplines including engineering, applied mathematics, chemistry, and medicine. His work emphasizes resolving complex interfacial phenomena through advanced computational approaches, contributing to high-impact publications in peer-reviewed journals. No scientific awards or specific grants are explicitly listed. His research group engages in collaborative projects without named students listed in the provided text.

Marcin Sosnowskiمشاهده پروفایل

دانشیار

• Numerical Modelling
• Computational Fluid Dynamics
• Heat and Mass Transfer
• +۵ مورد دیگر

Associate Professor Marcin Sosnowski is affiliated with the Faculty of Science and Technology at Jan Dlugosz University in Czestochowa. He has held leadership roles including Institute Director, Vice Dean, and Dean of the Faculty. His career spans academia and industry, with prior experience at General Electric's Engineering Design Center. His educational background includes: Graduated from the Faculty of Electrical Engineering at Czestochowa University of Technology in 2001. PhD in Mechanical Engineering (year not specified). Professor Sosnowski's research focuses on numerical modeling and simulation of thermal and fluid processes. Key areas include combustion, heat and mass transfer, adsorption, and heat pumps. He specializes in computational methods, particularly Computational Fluid Dynamics (CFD) and domain discretization techniques for complex systems such as combustion chambers and fluidized reactors. His recent publications (2024-2025) demonstrate a strong trend in applying advanced computational techniques to energy systems. This includes work on CO2 capture via chemical looping combustion, AI-driven modeling for complex systems, and coupled CFD-DEM simulations for fluidized sorption reactors. His research bridges theoretical innovation with practical engineering applications in clean energy and thermal systems. He has actively contributed to the academic community through: Reviewing over 150 scientific papers. Serving on scientific and organizing committees for more than 30 conferences. Holding editorial roles (topic editor, guest editor, editorial board member) for over 20 journals. As a project leader, he has managed and coordinated multiple externally funded research initiatives. His leadership extends to academic administration, having served as Dean of the Faculty of Science and Technology. While specific lab affiliations aren't detailed, his work involves advanced computational modeling that likely utilizes high-performance computing resources.

• Chemical Engineering
• Fluid Dynamics
• Reaction Engineering
• +۳ مورد دیگر

Miguel Ángel Arranz Pascual is an Associate Professor at the Universidad de Alcalá, affiliated with the Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering. His research focuses on fluid dynamics in chemical reactors, thermal decomposition kinetics, and non-Newtonian fluid behavior. Doctorate from Universidad de Alcalá (1994): Thesis titled Transferencia de materia en columnas de burbujeo clasicas y con recirculacion supervised by Dr. Eloy García Calvo. Key research interests include bubble column optimization, reaction engineering under non-isothermal conditions, and synthesis of inorganic materials via thermal decomposition. His work combines theoretical modeling with experimental validation in chemical process systems. Publications emphasize gas-liquid interaction mechanics, reactor design for viscous fluids, and mineral decomposition kinetics. Notable contributions involve differential method applications in solid-state reaction analysis and airlift loop reactor performance prediction. Recipient of institutional appointments without listed external awards. Active in curriculum development for clean technologies courses. Laboratory affiliations include the IQUAH group (Ingeniería Química y Ambiental - Chemical and Environmental Engineering).

Sven Großمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Numerical Analysis
• Finite Element Methods
• +۳ مورد دیگر

Dr. Sven Groß is a researcher at the Institute for Geometry and Practical Mathematics at RWTH Aachen University, Germany, with an office in Hauptgebäude 237. His work focuses on advanced numerical methods for fluid dynamics, particularly incompressible two-phase flows, and he is a core developer of the DROPS software package for parallel flow simulations. He maintains active research collaborations across computational mathematics and chemical engineering disciplines. His educational background includes a diploma thesis (2002) and doctoral thesis (2008), both completed at RWTH Aachen University. The doctoral work, titled "Numerical methods for three-dimensional incompressible two-phase flow problems," earned him the prestigious Borchers-Plakette award. Groß's research centers on Computational Fluid Dynamics with emphasis on Finite Element Methods for interface problems. His expertise spans adaptive 3D FE techniques, level set methods, XFEM implementations, and parallelization strategies for two-phase flow systems. Current investigations address preconditioning for unfitted finite element methods, mass transfer in falling films, and high-performance computing approaches for gas absorption processes. His methodologies bridge theoretical numerical analysis with industrial applications in chemical process engineering. Analysis of his recent publications reveals a strong trajectory toward robust preconditioning techniques for interface problems and high-fidelity simulations of reactive multiphase systems. The work increasingly integrates high-throughput computing with traditional numerical methods, demonstrating growing emphasis on computational efficiency for complex industrial-scale problems while maintaining mathematical rigor in error analysis. His scientific recognition includes: Borchers-Plakette (RWTH Aachen, 2009) for doctoral studies Friedrich-Wilhelm-Preis (RWTH Aachen, 2003) for diploma thesis Springorum-Denkmünze (RWTH Aachen, 2003) for diploma Groß has secured significant research funding through Collaborative Research Center SFB 540, leading Project C7 on numerical methods for wavy falling film simulations and contributing to former Project C6 on parameter estimation. He actively mentors students through research collaborations and has supervised numerous diploma/PhD projects, with co-authors including Kirchhart, Ludescher, and Jankuhn appearing consistently in his publication record. As a principal investigator for the DROPS project, he leads a cross-disciplinary team developing parallel adaptive multigrid techniques for incompressible flow simulations. The project maintains strong industry connections with chemical engineering groups focused on falling film reactors and mass transfer optimization, with recent extensions into high-performance computing architectures for industrial-scale simulations.

• Heat Transfer
• Computational Fluid Dynamics (CFD)
• Nanofluids
• +۱۳ مورد دیگر

Mohsen Sharifpur is a Full Professor in the School of Mechanical, Industrial and Aeronautical Engineering at the University of the Witwatersrand (Wits), South Africa. He previously established the Nanofluid Research Laboratory at the University of Pretoria in 2010, a leading research center in Africa for nanofluid studies. His academic credentials include a PhD in Mechanical Engineering (thermal-fluid) from Eastern Mediterranean University, a Master’s in Nuclear Engineering (Reactor thermal-fluid), and a Bachelor’s in Mechanical Engineering. His research focuses on heat transfer enhancement , nanofluids , computational fluid dynamics (CFD) , multiphase flow , phase-change materials , and entropy generation . He has developed a novel multidisciplinary theory called the Source and Sink Theory , integrating fluid dynamics, constructal law, and cosmological data to model early universe behavior. His work combines experimental, numerical, and machine learning techniques to advance thermal systems in energy, solar technology, and battery management. The recent publications show a strong trend toward magnetic hybrid nanofluids , microchannel cooling , solar thermal systems , entropy analysis , and machine learning integration . These studies often involve experimental validation and computational modeling, reflecting a rigorous, multidisciplinary approach to solving complex thermal engineering problems. C2 scientist rating from the National Research Foundation (NRF) of South Africa (2016) Recognized within the top 2% of highly cited researchers globally since 2020 Professor Sharifpur has authored or co-authored over 350 peer-reviewed articles and co-edited an Elsevier book titled Nanofluid Applications for Advanced Thermal Solutions . He has supervised over 35 post-doctoral researchers and graduate students. He serves as an editor or guest editor for several journals and is a frequent keynote speaker and scientific committee member at international conferences. His research has been supported by various national and international grants, though specific funding details are not listed in the source text. He leads a productive research group focused on advanced thermal solutions and sustainable energy systems. He established the Nanofluid Research Laboratory at the University of Pretoria, which remains one of Africa’s most active centers in this field. His team conducts experimental and computational research on nanofluid behavior, heat exchanger design, and renewable energy integration, fostering innovation in both academic and industrial applications.

David A. Weitzمشاهده پروفایل

استاد

• Soft Condensed Matter
• Biophysics
• Microfluidics
• +۴ مورد دیگر

David A. Weitz is the Mallinckrodt Professor of Physics and Applied Physics at Harvard University, holding joint appointments in the Department of Systems Biology and directing the Harvard Materials Research Science & Engineering Center. He also co-directs the Harvard Kavli Institute for Bionano Science & Technology and the BASF Advanced Research Initiative. His research focuses on soft condensed matter, biophysics, and microfluidics, with applications in materials science, drug delivery, and high-throughput screening. Weitz earned his B.Sc. from the University of Waterloo (1973), and A.M. and Ph.D. in Physics from Harvard (1975, 1978). After roles at Exxon Research and the University of Pennsylvania, he joined Harvard in 1999. Affiliations: Harvard University (Primary), TUM-IAS (Former Hans Fischer Senior Fellow, 2008). Key Appointments: Director of Harvard Materials Research Science & Engineering Center, Co-director of Harvard Kavli Institute. Research interests span colloidal systems, biomaterial mechanics, and microfluidic engineering for encapsulation and diagnostics. His lab pioneered microfluidic droplet techniques for creating designer emulsions and high-throughput assays. Current projects include biocompatible nanocapsule design, CO₂ mineralization, and studying biomolecular condensates in cells. Publications highlight advances in colloidal glasses, liquid crystal defects, and droplet deformation physics. Awards include Fellowships from the American Physical Society, Optical Society, and Biophysical Society, alongside prestigious lectureships (e.g., Jean Perrin Lecture). Grant activities include collaborations with industry and initiatives like The Salata Institute for Climate and Sustainability. His lab supports interdisciplinary training, with recent milestones including PhD defenses and microfluidics-based sustainability projects.

Ewelina Zatorskaمشاهده پروفایل

استاد مهمان

• Partial Differential Equations
• Fluid Dynamics
• Multicomponent Fluids
• +۳ مورد دیگر

Ewelina Zatorska is a Visiting Professor at Imperial College London and holds a primary position at the University of Warwick's Department of Mathematics. Her research focuses on partial differential equations (PDEs) modeling complex fluid dynamics and social systems, including multicomponent fluids, traffic flow, collective motion, and network interactions. She leads the EPSRC Early Career Fellowship 'Nonlocal Hydrodynamic Models of Interacting Agents' (2021-2026). Her work bridges pure mathematics and applied sciences, addressing existence, regularity, and asymptotic behavior of PDE systems. Notable contributions include analysis of compressible Navier-Stokes equations, dissipative Aw-Rascle traffic models, and nonlocal swarm dynamics. She serves on editorial boards for journals like the IMA Journal of Applied Mathematics and the Bulletin of the London Mathematical Society. Her recent grants and awards reflect interdisciplinary impact. Research highlights include nonuniqueness results in dissipative systems and novel construction methods for weak solutions in fluid mechanics.

Kamal Rezkمشاهده پروفایل

مدرس ارشد

• Computational Fluid Dynamics (CFD)
• Environmental Engineering
• Energy Systems Optimization
• +۶ مورد دیگر

Kamal Rezk is a Senior Lecturer in Environmental and Energy Systems Research at Karlstad University, Sweden. His academic journey includes roles such as Lecturer (2011), Associate Senior Lecturer (2014–2020), and his current Senior Lecturer position since 2020. He holds a PhD in Environmental and Energy Systems from Karlstad University (2014), a Licentiate of Engineering (2010), and prior industry experience as a Blade Designer at Kongsberg Maritime (2019) and Rolls Royce Marine (2017). His research focuses on computational fluid dynamics (CFD) modeling for optimizing energy and environmental systems, particularly in heat/mass transfer, dewatering processes in papermaking, and wastewater oxygenation. Teaching spans fluid mechanics, systems analysis, and computational methods at undergraduate and graduate levels, with annual supervision of bachelor’s and master’s theses. Rezk’s publications (2007–2024) emphasize CFD applications in industrial processes, including bubble column oxygen transfer, paper drying simulations, and heat exchanger design. His work bridges academic research with practical industry challenges, emphasizing energy efficiency and sustainability.

• Computational Fluid Dynamics
• Renewable Power and Energy Systems Engineering
• Energy Generation
• +۳ مورد دیگر

Dr. Leilei Ji is a sponsored researcher in the Department of Mathematics at Imperial College London, affiliated with the Faculty of Natural Sciences. His research focuses on internal flow stability, multiphase flow dynamics, and energy transfer processes in fluid machinery under the mentorship of Prof. Xuesong Wu. Education: PhD in Engineering (2018-2021), Jiangsu University, China MEng (2014-2017), Jiangsu University, China BEng (2010-2014), Jiangsu University, China Research interests emphasize computational fluid dynamics applications in renewable energy systems, particularly optimizing energy generation and storage through advanced fluid mechanics analysis. Current projects involve modeling complex flow phenomena in mechanical systems to improve efficiency and stability. No scientific awards or funded grants are explicitly listed in the provided text.

Johannes Josef Schneiderمشاهده پروفایل

پژوهشگر

• Applied Complex Systems Science
• Artificial Chemistry
• Microfluidics
• +۳ مورد دیگر

Dr. Johannes Josef Schneider is a Researcher at the Zurich University of Applied Sciences (ZHAW) School of Engineering, affiliated with the Applied Complex Systems Science research group. His work focuses on computational modeling of complex systems, particularly artificial chemistry and microfluidic droplet networks. Research interests span: Artificial chemistry implementation in droplet-based systems Geometric constraints in particle agglomeration 3D arrangement of droplets and vesicles Computational methods for pandemic intervention modeling Network formation in polydisperse systems Schneider has contributed to several key projects including Bio-HhOST (as Deputy Project Leader) and SARS-CoV-2 intervention modeling. His collaborative research involves extensive work on chemical programmability using droplet agglomerations and ethical aspects of computational modeling. Research outputs demonstrate consistent focus on: Development of computational frameworks for chemical synthesis Analysis of droplet dynamics in constrained geometries Modeling of spatial population dynamics Investigation of vesicular interactions

Wei Wuمشاهده پروفایل

استاد

• Geomechanics
• Granular Materials
• Constitutive Modeling
• +۷ مورد دیگر

Wei Wu is a Full Professor and Head of the Institute of Geotechnical Engineering at BOKU University, within the Department of Structural Engineering and Natural Hazards. He leads research in geomechanics, numerical modeling, and AI applications in geotechnical engineering. Doctor of Engineering (Dr.-Ing.), Karlsruhe University, Germany (1986–1993) MSc in Geotechnical Engineering, Xian University of Technology, China (1982–1985) Bachelor in Civil Engineering, Wuhan University, China (1978–1982) Professor Wu's research focuses on geomechanics, granular materials, constitutive modeling, and numerical simulations for landslides, debris flows, and tunneling. His work integrates SPH, DEM, and hypoplastic models to simulate complex soil behavior. He also explores soil bioengineering and AI applications in geotechnics . His recent publications emphasize failure mechanisms, uncertainty analysis, and large deformation modeling using advanced computational methods. His recent articles highlight a strong trend in developing and applying hypoplastic constitutive models combined with meshfree methods (SPH, DEM) for simulating granular flows, landslides, and soil-structure interaction. Research spans from micro-scale particle behavior to macro-scale geohazard modeling , with increasing integration of machine learning and probabilistic frameworks . Advanced Grant, European Research Council, 2024 Gold medal, Technical University of Brno, Czech Republic, 2024 Professor Wu has supervised over 30 PhD and 100 MSc theses . He leads major research projects funded by the European Research Council (ERC) , European Commission , and Austrian Science Foundation , including the €2.5M ERC Advanced Grant 'Modeling transient granular flow' (2024–2029). He serves as founding Editor-in-Chief of Acta Geotechnica and leads the Otto Pregl Foundation for Fundamental Geotechnical Research. He heads the Institute of Geotechnical Engineering at BOKU and co-leads research on AI in Geotechnical Engineering . His team conducts advanced numerical simulations and experimental validations, particularly in landslide dynamics, tunnel stability, and root-reinforced slopes .

Konstantin Matveevمشاهده پروفایل

استاد

• Thermo-fluid Sciences
• Cryogenics
• Hydrogen Systems
• +۱۳ مورد دیگر

Konstantin Matveev is a Professor in the Department of Mechanical and Materials Engineering at Washington State University, College of Engineering and Architecture. He leads the HYPER Laboratory, focusing on modeling and simulation of advanced engineering systems. His research spans thermo-fluid sciences, cryogenics, hydrogen systems, thermoacoustics, multiphase flows, and unmanned mobile platforms. He is an ASME Fellow, reflecting his significant contributions to mechanical engineering. Dr. Matveev earned his Ph.D. in Mechanical Engineering from the California Institute of Technology in 2003, an M.S. in Applied Physics from the Moscow Institute of Physics and Technology in 1996, and a B.S. in Applied Physics from the same institution in 1994. Prior to joining WSU, he was a Postdoctoral Research Associate at Los Alamos National Laboratory and worked as a Senior Hydrodynamicist in industry. His research interests include liquid hydrogen systems , thermoacoustics , advanced marine vehicles , and autonomy in unmanned systems . He investigates fundamental phenomena in energy conversion and develops practical systems for propulsion, power generation, and sustainable technologies. His work integrates experimental, numerical, and analytical methods. The 15 most recent articles reflect a strong focus on energy and acoustics, particularly thermoacoustic engines, instability control, and wave propagation in complex media. There is also significant emphasis on autonomous systems, marine vehicle design, and educational outreach. The keywords span mechanical engineering, fluid dynamics, acoustics, robotics, and energy systems, with subfields including vortex-driven tonal sound, fractal materials, ski friction modeling, and hydrogen infrastructure. His scientific recognition includes being named an ASME Fellow. Additional honors may exist but are not detailed in the provided text. Dr. Matveev has supervised research projects and mentored students, though specific advisees are not listed. His research is supported by major grants from DARPA, NSF, DOE, ONR, NASA, and JCATI, enabling large-scale industry-academia collaborations. He also provides consulting and participates in SBIR/STTR projects. He leads experimental and modeling efforts in propulsion, energy systems, and autonomy, with applications in aerospace, marine, and high-tech industries. He directs the HYPER Laboratory, which conducts research in high-performance marine vehicles, hydrogen systems, and unmanned platforms. The lab combines computational modeling with physical experimentation, including tests on hovercraft, thermoacoustic engines, and autonomous vehicles. Outreach initiatives include K-12 engineering workshops on advanced marine technologies.