جستجوی استاد راهنمای دانشگاهی

• Computational Fluid Dynamics
• Numerical Simulation
• High-Performance Computing
• +۲ مورد دیگر

Dr. Jens Keim is a Research Fellow at the Institute of Applied Analysis and Numerical Simulation at the University of Stuttgart. His research focuses on advanced computational methods for fluid dynamics, particularly entropy-stable schemes and high-order discontinuous Galerkin methods for compressible turbulent flows. His expertise spans multiphase flow simulation, shock capturing techniques, and dynamic mesh adaptation. Recent work integrates machine learning approaches with traditional CFD methodologies, including reinforcement learning for slope limiting and neural networks for particle dynamics modeling. Dr. Keim's publications demonstrate consistent innovation in high-performance computing applications for fluid dynamics, with emphasis on parallel algorithms and accelerator-based systems. His research advances numerical stability in complex flow simulations through novel relaxation models and adaptive methods. Current projects focus on turbulence modeling, multiphase flows, and computational efficiency improvements for large-scale simulations using modern data structures and GPU architectures.

• Uncertainty Quantification
• Bayesian Modeling
• Subsurface Flow Modeling
• +۳ مورد دیگر

Sergey Oladyshkin is an Adjunct Professor and Deputy Department Head at the Department of Stochastic Simulation and Safety Research for Hydrosystems , part of the Institute for Modelling Hydraulic and Environmental Systems at the University of Stuttgart. His work focuses on uncertainty quantification (UQ), Bayesian methods, and computational modeling applied to environmental systems. Key areas include CO 2 storage, groundwater contamination, and subsurface flow dynamics. Research highlights include development of Bayesian active learning frameworks, surrogate modeling techniques, and hybrid approaches combining neural networks with physical models (e.g., Finite Volume Neural Networks). He has contributed to projects on radioactive waste repository safety, water distribution system reliability, and CO 2 leakage risk assessment. Publications emphasize methodological advances in polynomial chaos expansions, rare event simulation, and global sensitivity analysis. Notable collaborations involve institutions such as the German Research Center for Geosciences, RWTH Aachen University, and industry partners in water and energy sectors. His interdisciplinary work bridges computational science, environmental engineering, and applied mathematics, with applications to climate change mitigation and sustainable resource management.

• Sound Generation
• Knee Prosthesis
• Simulation Model
• +۴ مورد دیگر

Andreas Wurzinger is a researcher at the Institute of Fundamentals and Theory in Electrical Engineering at Graz University of Technology. His work spans acoustics, biomedical engineering, and computational methods. PhD Student, Graz University of Technology (current) Research focuses on sound generation , knee prosthesis acoustics , and physics-informed neural networks . He develops digital twins for noise analysis in mechanical and medical systems, including refrigerant compressors and hydraulic prostheses. Recent publications highlight applications of computational aeroacoustics , flow-induced sound modeling , and data-driven frameworks like pyCFS-data. Collaborations span automotive and medical device industries . He actively participates in conferences like NOVEM 2025, Forum Acusticum 2025, and DAS/DAGA 2025, presenting on vibro-acoustic emissions and digital twin applications .

Dimitris Assanisمشاهده پروفایل

استادیار

• Power Generation Systems
• Propulsion Systems
• Advanced Combustion Modes
• +۳ مورد دیگر

Dimitris Assanis is an Assistant Professor of Mechanical Engineering at Stony Brook University. His research focuses on power generation and propulsion systems, with an emphasis on advanced combustion modes, alternative fuels for internal combustion engines, and the environmental implications of connected/automated vehicles. He leads research in sustainable energy solutions, including ammonia/hydrogen combustion, fuel cell hybridization, and decarbonization strategies for residential heating and automotive systems. Education: Ph.D. in Mechanical Engineering, University of Michigan (2016) M.S. in Mechanical Engineering, University of Michigan (2012) B.S. in Mechanical Engineering, University of Michigan (2011) Research Interests: His work spans combustion optimization, alternative fuel integration, and smart transportation technologies. Key areas include: - Development of low-carbon fuels (e.g., ammonia, hydrogen blends) - Computational modeling of combustion systems - Emission reduction strategies for engines and aftertreatment devices - Aerodynamics of high-performance vehicles (e.g., Formula 1) - Smart infrastructure for automated vehicle efficiency Recent Research Trends: Recent publications emphasize machine learning integration for engine diagnostics, validation of novel combustion models, and scalable testing systems for emission control devices. His work bridges computational simulation and experimental validation to advance sustainable energy systems. Labs and Teams: Assanis leads a lab focused on combustion and propulsion systems. Collaborative projects involve automotive and energy sectors, with a focus on real-world applications of clean technologies.

Aleksandar Jemcovمشاهده پروفایل

دانشگاهی

• Computational Fluid Dynamics
• Turbomachinery Flows
• Numerical Algorithms
• +۶ مورد دیگر

Aleksandar Jemcov is the Associate Director for Computational Sciences at the NDTL and concurrently serves as a Research Assistant Professor in the Aerospace and Mechanical Engineering Department at the University of Notre Dame. With over 20 years of expertise in computational fluid dynamics (CFD) and turbomachinery flows, his research focuses on numerical algorithms, solid-fluid interactions, turbulence modeling, and high-performance computing. He holds a Ph.D. in Aerospace Engineering from the University of Belgrade (2004). His professional experience includes roles at Pratt & Whitney Canada, Fluent Inc., and ANSYS, Inc., where he contributed to combustion, CFD software development, and turbomachinery analysis. His research interests span computational methods for fluid mechanics, thermoacoustics, and linear algebra. Notable contributions include advancements in turbulence models, solver methodologies, and aerodynamic forcing analysis in compressors. He has published extensively on topics like rotor whirl detection, entropy transport, and hypersonic flow radiation modeling. His work bridges academia and industry, addressing challenges in aerodynamics, turbomachinery diagnostics, and computational efficiency. Current projects include optimizing CFD tools for high-fidelity simulations and developing predictive models for compressor instabilities.

Dimitra Souliotiمشاهده پروفایل

مدرس ارشد

• Materials Engineering
• Composite Materials
• Additive Manufacturing
• +۱ مورد دیگر

Dimitra Soulioti is a Senior Lecturer in Materials Engineering at Sheffield Hallam University's Department of Engineering and Mathematics. She holds a PhD in Materials Engineering from the University of Ioannina and a Civil Engineering degree from Aristotle University of Thessaloniki. She joined SHU in 2014 as an Associate Lecturer and became Senior Lecturer in 2021. Her research focuses on mechanical behavior of structural and composite materials using destructive and non-destructive methodologies. Current projects include advanced lightweight composites for structural applications and non-destructive monitoring of advanced materials. Teaching areas: Aerospace Engineering Automotive Engineering Materials Engineering Sustainable Engineering Railway Engineering She has published 26 papers with over 1400 citations and is a Fellow of the Higher Education Academy since 2018.

Harish Viswanathanمشاهده پروفایل

مدرس

• Aerodynamics
• Fluid Dynamics
• Thermofluids
• +۴ مورد دیگر

Dr. Harish Viswanathan is a Lecturer in Mechanical Engineering at the Department of Engineering and Mathematics, affiliated with the Thermofluids Group. He holds an MSc in Industrial Mathematical Modelling and a PhD in Mechanical Engineering from Loughborough University. His postdoctoral research at the University of Colorado involved collaborative work with institutions like Iowa State University and the National Energy Technology Lab. Prior to academia, he worked as an Applications Engineer at COMSOL Multiphysics and as a Technical Leader in Fuel Systems CFD at Mercedes-Benz Research and Development India. Education: MSc Industrial Mathematical Modelling, Loughborough University PhD Mechanical Engineering, Loughborough University His research focuses on aerodynamics, fluid dynamics, and thermofluids, with special interests in fuel tank filling, automotive aerodynamics, aero-vibro acoustics, and two-phase flows. He has authored numerous papers in top-tier journals like Journal of Fluid Mechanics and Physics of Fluids , and holds 8 patents with Daimler. Recent publications highlight advancements in corrugated wing aerodynamics, squareback vehicle noise reduction, and microfluidic droplet generation. His work bridges computational modeling (e.g., CAA, CFD) with practical automotive engineering challenges. He supervises doctoral students, including K.K. Chode , whose thesis on aerodynamic noise modeling was completed in 2024. His contributions to fuel system design and fluid-structure interaction have direct industrial applications. Dr. Viswanathan is actively involved in the Thermofluids Group, contributing to interdisciplinary research in automotive and aerospace engineering.

Tommaso Di Ianniمشاهده پروفایل

استادیار

• Ultrasound Neurointervention
• Functional Ultrasound Imaging
• Neuropsychiatric Disorders
• +۳ مورد دیگر

Dr. Tommaso Di Ianni is an Assistant Professor at the University of California, San Francisco (UCSF), with joint appointments in the Departments of Psychiatry & Behavioral Sciences and Radiology & Biomedical Imaging. He leads the UCSF Basic Ultrasound Research Program and co-directs the UCSF Focused Ultrasound in Neuroscience Program. His work focuses on developing non-invasive ultrasound technologies for neurointervention and imaging, with applications in treating neuropsychiatric disorders. Dr. Di Ianni holds a PhD in Biomedical Engineering from the Technical University of Denmark and completed postdoctoral training at Stanford University. His research integrates engineering, neuroscience, and clinical medicine to advance therapeutic and diagnostic ultrasound modalities. Current initiatives include optimizing ultrasound neuromodulation for depression treatment and elucidating opioid receptor mechanisms in ketamine’s effects. Key honors include the UCSF Catalyst Award (2024), PARC Fellowship (2024), and the New Investigator Award from the American Institute of Ultrasound in Medicine (2017). His lab collaborates across disciplines to translate technologies into clinical practice, supported by grants from NSF and UCSF Innovation Ventures. Lab activities emphasize portable ultrasound systems, deep learning for imaging, and targeted drug delivery via ultrasound. Recent breakthroughs include high-throughput neuromodulation techniques and studies on ketamine’s pharmacology. Visit diiannilab.ucsf.edu for ongoing projects and publications.

Kari Dalnoki-Veressمشاهده پروفایل

استاد

• Soft Matter Physics
• Polymer Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Professor Kari Dalnoki-Veress is a faculty member in the Department of Physics and Astronomy at McMaster University. Their research focuses on soft matter physics, polymer physics, and the mechanical behavior of materials at interfaces. They hold a Ph.D. from the University of Guelph (1998) and have conducted postdoctoral research there (1998–1999). Their work explores phenomena like elastocapillary effects, droplet dynamics, and polymer film behavior. Over 180 scholarly articles have been published, with recent contributions in Nature Physics , Physical Review Letters , and Soft Matter . Research interests include capillary levelling, surface tension-driven processes, and the mechanics of soft elastic materials. They teach courses such as 'Squishy Physics: Physics of Soft Matter' and 'Introductory Physics.' Education: Ph.D., University of Guelph, 1998 M.Sc., University of Guelph, 1994 B.Sc., University of Guelph, 1992 Research: Investigates soft matter systems, including droplet rafts, polymer films, and biomaterials. Recent work examines cohesive forces between particles, buckling instabilities in elastic structures, and synchronization in biological systems. The KDV Lab (http://kdvlab.net/) serves as a hub for experimental and theoretical studies. Teaching & Advising: Instructs undergraduate and graduate courses in physics and biophysics. Advises students on projects involving soft matter dynamics and material characterization. Over 12 student presentations have been highlighted in conference proceedings. Labs/Teams: Leads the KDV Lab at McMaster, collaborating with researchers in materials science, biophysics, and applied mathematics.

• Fluid Dynamics
• Hydrodynamic Stability Theory
• Boundary Layer Flow
• +۵ مورد دیگر

Prof. Jitesh Gajjar is a Professor of Applied Mathematics at the University of Manchester since 2007, leading the School of Mathematics' Social Responsibility initiatives since 2016. His career includes roles from Lecturer (1985) to Reader (2001–2007), with prior experience at the University of Exeter and B.M.T. Ltd. His research focuses on fluid dynamics, hydrodynamic stability, and computational methods, with a strong emphasis on boundary layer flows, compressible/incompressible flows, and numerical solutions of Navier-Stokes equations. Research interests span high-speed flows, triple-deck theory, laminar separation, and asymptotic methods. He has authored/co-authored influential textbooks like Fluid Dynamics Part 4: Hydrodynamic Stability Theory and contributed to over 60 publications. Supervised 19 PhD students, emphasizing theoretical and computational fluid mechanics. Active in professional bodies like the Royal Society of Arts as a Fellow. Key projects include exploring Tollmien-Schlichting wave cancellation via localized heating, supersonic compression-ramp instabilities, and global stability of separated flows. His work combines analytical techniques with numerical simulations, addressing industrial and fundamental fluid dynamics challenges. Recent studies (2020–2024) focus on nanofluids in cavity flows, temperature-dependent viscosity effects, and high-frequency instabilities in supersonic flows. Awards include Fellowship of the Royal Society of Arts (RSA). Academic leadership roles include contributing to anti-racism governance in higher education and directing interdisciplinary initiatives through the University of Manchester Applied Research Innovation (UMARI) Institute.

Oliver Jensenمشاهده پروفایل

استاد

• Continuum Mechanics
• Transport Processes
• Multiscale Methods
• +۵ مورد دیگر

Oliver Jensen is a Professor of Applied Mathematics at the University of Manchester, leading the Department of Mathematics. His research integrates continuum mechanics, transport processes, and multiscale modeling in biological and medical systems. He has held academic roles at institutions including the University of Nottingham and the University of Cambridge. His work spans plant biomechanics, placental microcirculation, and surfactant-driven flows, with contributions to understanding tissue growth, fluid-structure interactions, and biomedical applications. He supervises PhD students and collaborates on projects like placental oxygenation and lung mechanics. His research aligns with UN Sustainable Development Goals in health and sustainable cities. Education: PhD in Applied Mathematics from the University of Cambridge (1991). Research Groups: Continuum Mechanics, Mathematics in the Life Sciences. Key research interests include plant cell expansion, fluid dynamics in biological systems, and biomechanical modeling of soft tissues. His studies on surfactant behavior and superhydrophobic surfaces address drag reduction and material science challenges. He has contributed to understanding placental transport mechanisms and airway reopening dynamics, with implications for clinical conditions like asthma and cystic fibrosis. Recent work explores tissue metabolism effects in feto-placental networks and the role of mechanical stress in cell division. Collaborative projects with clinical and engineering teams focus on translating mathematical models to medical applications.

Christian Kastrupمشاهده پروفایل

دانشیار

• Biochemistry
• Hemostasis
• Thrombosis
• +۷ مورد دیگر

Christian Kastrup is an Associate Professor at the University of British Columbia's Michael Smith Laboratories and the Department of Biochemistry and Molecular Biology. He also holds affiliations with the Medical College of Wisconsin and Versiti Blood Research Institute. Dr. Kastrup's research focuses on hemostasis and thrombosis, developing novel therapies using biochemical engineering and nanomedicines. His work includes engineering platelets for enhanced clotting, self-propelled hemostatic particles, and RNA-based gene therapies. He has received grants from the NIH, US Department of Defense, and Canadian Institutes of Health Research. Education: Ph.D. in Chemistry from the University of Chicago, Postdoctoral fellowship at MIT. Research interests span bioengineering, thrombosis modulation, and translational therapies for severe hemorrhage. Key projects include CounterFlow gauze for trauma bleeding and mRNA-modified platelets. Notable achievements: Over 70 publications, 10 patents, and spin-off companies like CoMotion and NanoVation Therapeutics. Awards include the 2016 MSFHR Scholar and Major Sir Frederick Banting Award. He trains numerous graduate students and undergraduates, many of whom have co-authored papers. Grants and Funding: Over $2.3M from US DoD for trauma hemorrhage projects, CIHR grants, and collaborations with institutions like the USAISR and Versiti. Research also explores soil's role in wound clotting and Alzheimer's disease links to coagulation. Labs and Teams: Leads the Kastrup Lab at UBC and Versiti, with collaborations across biochemistry, biomedical engineering, and surgery departments. Current projects include FDA-ready hemostatic agents and RNA therapies for rare bleeding disorders.

Ossi Kaarioمشاهده پروفایل

دانشیار

• Combustion
• Sprays
• CFD
• +۵ مورد دیگر

Ossi Kaario is an Associate Professor at Aalto University's Department of Energy and Mechanical Engineering. His expertise focuses on combustion processes, spray dynamics, and numerical modeling of energy systems. He holds a Doctoral degree (2007) and Master's degree (1996) in Engineering and Technology from the Helsinki University of Technology. Key research areas include alternative fuels (ammonia, hydrogen, methanol), internal combustion engines, large eddy simulation (LES), and turbulence modeling. He leads projects like Flex-CPT (Flexible Clean Propulsion Technologies) and SafeH2, addressing maritime and heavy-duty engine sustainability. His work contributes to UN Sustainable Development Goals related to clean energy and climate action. Conducted 18 supervised theses in combustion and propulsion systems. Published 188+ research outputs, specializing in fuel blending, spray ignition, and emission reduction strategies. Received 8 active/funded projects (e.g., BF Co-Innovation grants) totaling € millions. Notable contributions include developing open-source tools like DLBFoam for reactive flow simulations and pioneering ammonia-hydrogen combustion studies.

Rajat Mittalمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Biomedical Engineering
• Fluid-Structure Interaction
• +۷ مورد دیگر

Rajat Mittal is a Professor of Mechanical Engineering at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering. He holds a secondary appointment in the JHU School of Medicine. His research focuses on computational fluid dynamics (CFD), biomedical flows, and bioinspired engineering, with applications to heart valve dynamics, digestive physiology, and drone rotor design. Education: B.S. in Aeronautical Engineering from IIT Kanpur (1989), M.S. in Aerospace Engineering from the University of Florida (1991), Ph.D. in Applied Mechanics from UIUC (1995). Postdoctoral research at Stanford University’s Center for Turbulence Research (1995-1996). Research emphasizes immersed boundary methods, fluid-structure interaction, and multiphase flow modeling. Key areas include gastric digestion mechanics, bioacoustics, and biomimetic propulsion systems. His lab (Flow Physics and Computation Lab) collaborates with zoology, cardiology, and robotics experts. Notable awards include the 2025 AIMBE Fellowship, 2022 Stanley Corrsin Award, and 2021 Freeman Scholar Award. He edits four journals and advises on projects funded by NIH, NSF, and DARPA. His work bridges engineering and medicine, with applications to surgical planning and medical device design. Recent projects model stomach biomechanics post-bariatric surgery, optimize drone rotor noise reduction, and study fish schooling hydrodynamics. He also explores transonic flutter in wings and porous media flow control.

David Bercoviciمشاهده پروفایل

استاد

• Geophysical Fluid Dynamics
• Mantle Convection
• Plate Tectonics
• +۲ مورد دیگر

David Bercovici is the Frederick William Beinecke Professor of Earth & Planetary Sciences at Yale University, where he has served as department chair and director of undergraduate studies. His research spans geophysical fluid dynamics, continuum mechanics, multiphase physics, mantle convection, plate tectonics generation, volcanic processes, and planetesimal formation. Dr. Bercovici is an elected member of the National Academy of Sciences and American Academy of Arts & Sciences. His research focuses on fundamental processes shaping planetary interiors, including: 1) shear localization and damage theory for plate boundary formation, 2) coupling of microstructural and continuum physics in mantle dynamics, 3) multiphase modeling of volcanic eruptions, and 4) planetesimal evolution. This work combines theoretical modeling, laboratory experiments, and field observations to understand Earth and planetary systems. Analysis of Dr. Bercovici's publications reveals three dominant themes: 1) development of grain-damage theory to explain plate tectonics initiation and lithospheric dynamics, 2) multiphase modeling of volcanic processes including magma wagging and eruption cyclicity, and 3) physics of planetesimal formation and evolution. His work consistently bridges microscopic processes to planetary-scale phenomena. Dr. Bercovici has supervised numerous graduate students and postdocs, currently mentoring researchers in lithospheric dynamics and planetary formation. His lab has received sustained funding from NSF, NASA, and DOE, including recent support for studies of grain-damage mechanisms, volcanic dynamics, and NASA's Psyche mission to a metal asteroid. He directs state-of-the-art computational and experimental facilities for geophysical fluid dynamics. Major honors include the James B. Macelwane Medal (AGU), Francis Birch Lectureship (AGU), and election to the National Academy of Sciences. His book The Origins of Everything in 100 Pages synthesizes cosmic and planetary evolution for broad audiences.