جست‌وجوی استاد و پژوهشگر

Nathanial Wigginsمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Mixed Reality
• Complex Dynamical Systems
• +۶ مورد دیگر

Dr. Nathanial Wiggins is a Senior Lecturer at the University of Houston in the Department of Industrial and Systems Engineering, with additional roles as Distinguished Professor of Engineering and Mathematics at San Jacinto College and Adjunct Professor of Mathematics at University of Houston - Clear Lake. He is affiliated with the Institute of Electrical and Electronics Engineers (IEEE) and the American Society for Engineering Education (ASEE). Ph.D. in Systems and Engineering Management, Texas Tech University M.S. in Mathematical Science, University of Houston – Clear Lake B.S. in Mathematics and Russian Studies, University of Colorado, Boulder Dr. Wiggins' research focuses on artificial intelligence, mixed reality, and complex dynamical systems. He develops systems that scaffold knowledge from repetition to utilization, particularly in neural networks and intelligent infrastructure. His work intersects with aerospace, oil and gas, and defense industries, emphasizing student-driven projects and collaborative learning frameworks. His publications span mixed reality applications in education, swarm robotics for Mars exploration, neural network methodologies, and aerospace systems like microgravity flame suppression and battery cooling. Keywords include AI, computer science, and engineering education, with sub-fields like neural networks and systems integration. SJC Gold Level Honoraria, Institutional Impact Award, 2019 IEEE CCWC Best Speaker Award, Las Vegas, 2019 Roueche Excellence Award, League for Innovations, 2013 NISOD Award, Community College Organization, 2013 Edu-STEM Award, Texas Space Grant Consortium, 2012 NASA Microgravity University recognition, 2012 Dr. Wiggins leads grants including NSF Bridges to STEM Careers and NASA collaborations (Swarmathon, Microgravity University). He founded the Artificial Intelligence Technology Labs, integrating peer mentoring and hands-on research to enhance STEM education.

Marie Fargeمشاهده پروفایل

استاد

• Wavelets
• Turbulence
• Computational Fluid Dynamics
• +۴ مورد دیگر

Marie Farge is a distinguished French mathematician and physicist currently serving as Directrice de Recherche 1ère classe at the French National Center for Scientific Research (CNRS) since 2008. She maintains strong affiliations with École Normale Supérieure in Paris where she has been based since 1981, and teaches at multiple institutions including Institut des Etudes Politiques (IEP) in Paris since 2011. Her extensive academic career includes visiting positions at prestigious institutions worldwide including Cambridge University, Harvard University, and the Max Planck Institute. Dr. Farge's research focuses on the intersection of mathematics and physics, with particular emphasis on wavelets , turbulence , and computational fluid dynamics . Her pioneering work has established wavelet analysis as a fundamental tool for studying turbulent flows and extracting coherent structures. She has developed the Coherent Vortex Simulation (CVS) method, which has become influential in turbulence modeling. Her research spans theoretical mathematics, numerical methods, and practical applications in fluid dynamics and plasma physics. Analysis of her publication record reveals a consistent focus on applying wavelet transforms to fluid dynamics problems, with increasing sophistication in handling three-dimensional turbulence and plasma phenomena. Her work demonstrates a progression from theoretical foundations of wavelet analysis to practical computational methods for complex fluid systems. The interdisciplinary nature of her research bridges mathematics, physics, and engineering applications. Prix Poncelet from the French Academy of Sciences (1993) American Physical Society Gallery of Fluid Motion award (1990) Seymour Cray Award for Scientific Computing (1988) Ministry of Foreign Affairs of Japan Award (1985) Fulbright Fellowship at Harvard University (1981) ESRO Award (1971) Elected member of Academia Europaea (2005) Grand Prix du CNRS 'La Recherche en Action' (1989) As an educator, Dr. Farge has taught extensively across France and internationally at institutions including Stanford University, Cambridge University, and numerous European and Asian universities. She has served on the editorial boards of major journals including the Journal of Applied and Computational Harmonic Analysis since 1993 and has been active in the Ethics Committee of CNRS since 2007. Her teaching spans wavelet theory, computational physics, turbulence, and signal processing, reflecting the breadth of her expertise. Dr. Farge maintains active research collaborations worldwide, evidenced by her numerous visiting positions at leading research centers including the Center for Turbulence Research at Stanford University, the Newton Institute in Cambridge, and the Institute for Advanced Study in Princeton. Her work continues to influence both theoretical developments in wavelet analysis and practical applications in fluid dynamics and related fields.

Leon-Cornelius Mockمشاهده پروفایل

پژوهشگر

• Ocean Dynamics
• Physical Oceanography
• Climate Dynamics
• +۳ مورد دیگر

Leon-Cornelius Mock is a Researcher at the GEOMAR Helmholtz Centre for Ocean Research in the Ocean Dynamics department. His work focuses on physical oceanography, climate dynamics, and marine transport processes. Education : Bachelor's thesis on sea level variations in New York Bay (2021) Master's thesis on particle spreading at the Ewing Seamount (2023) Research spans submesoscale ocean dynamics , disease dispersal in marine ecosystems , and model resolution impacts on particle transport . His methods integrate numerical simulations, biophysical modeling, and field observations from oceanographic expeditions. Collaborations include work with oceanographers like Arne Biastoch and teams on projects related to Agulhas rings , European oyster restoration , and upwelling systems in the Benguela region.

Li Huaمشاهده پروفایل

استاد

• Multiphysics Modeling
• Soft Matter
• Machine Learning
• +۵ مورد دیگر

Professor Li Hua is a faculty member at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He holds a Ph.D. in Mechanical Engineering from the National University of Singapore (1999) and has been recognized as a Fellow of the American Society of Mechanical Engineers (ASME) since 2019. His academic journey includes postdoctoral research at the University of Illinois at Urbana-Champaign (2000-2001), a visiting scientist role at Johns Hopkins University (2005), and research scientist positions at A*STAR’s Institute of High Performance Computing (2001-2006). Research Interests: Professor Li specializes in multiphysics modeling of soft matters (e.g., smart hydrogels in BioMEMS and biological cell microscale dynamics), machine learning-based prediction for 3D printing process-microstructure-property correlation, numerical computational methodologies (meshless and multiscale algorithms), sustainable energy simulations (building efficiency and fuel cells), and structural dynamics of high-speed rotating shells and composites. His work bridges computational mechanics, materials science, and biomedical applications. Publications & Collaborations: With over 200 peer-reviewed journal articles, he has authored/co-authored monographs such as Smart Hydrogel Modelling (Springer) and Rotating Shell Dynamics (Elsevier). His research is funded by agencies like NRF, EDB, SMI, and industry partners including Rolls-Royce, Emerson, and ABB. Scientific Awards: Fellow of ASME (2019) ICCM Investigator Award (2018) SMI Top Project Winner (2015) IBM & IHPC Silver Award (2003) Advising & Grants: He has advised Ph.D. students like Meng Zhang (awarded Best Student Paper at ICMFM XIX, 2018) and secured grants for computational BioMEMS, sustainable buildings, and advanced manufacturing projects. His industrial collaborations span aerospace, maritime, and energy sectors. Labs & Teams: Professor Li leads a research group at NTU, focusing on interdisciplinary projects with institutions like Imperial College, Technische Universität Dresden, and Johns Hopkins University. He contributes to academic governance as an NTU Senator and active member of professional societies.

Bernardo Telliniمشاهده پروفایل

استاد

• Electrical Measurements
• Magnetic Characterization
• Battery Technology
• +۵ مورد دیگر

Bernardo Tellini is a Full Professor of Electrical and Electronic Measurements at the Department of Energy, Systems, Land, and Construction Engineering (DESTEC) at the University of Pisa, where he also serves as Vice-Rector for Doctoral Research. He has held this institutional role since 2020, overseeing doctoral program planning, accreditation, and admission procedures. Previously, he chaired the doctoral program in Energy, Electrical, and Thermal Engineering from 2012 to 2016 and served on the Leonardo da Vinci Doctoral School in Engineering from 2008 to 2016. Education: PhD in Electrical Engineering, University of Pisa (1999) Degree in Electrical Engineering, University of Pisa (1993) Postdoctoral research at Karlsruhe Research Center for Technology and Environment Industry experience at ABB Tellini's research focuses on electrical and magnetic measurement methodologies for high-power pulsed applications, characterization of electrical and magnetic properties of materials, aging processes in battery cells, and electromagnetic emissions from power circuits. His work spans from fundamental measurement theory to practical industrial applications, particularly in railway technologies where he represents the University on the Steering Committee of the District for Railway Technologies, High-Speed, and Network Safety in Tuscany. He has served as president of the European Pulsed Power Laboratories agreement and chaired major IEEE conferences including I2MTC 2015 and MELECON 2020. His recent publications reveal a strong emphasis on RFID-based localization systems , nanoparticle-enhanced optical sensors , and advanced battery characterization techniques . The research trajectory shows increasing integration of measurement science with emerging technologies like plasmonic sensing, microwire-based transducers, and smart systems for industrial monitoring. His team has developed innovative approaches for battery health monitoring under vibration stress, temperature sensing using magnetic materials, and precise localization methods using phase-based RFID systems. Professional Service: President of Italian Section of IEEE (2019-2021) Scientific director of Pisa research unit in Association of Electrical and Electronic Measurements (GMEE) Member of Certification Committee of Italcertifer SpA (since 2019) Representative on District for Railway Technologies Steering Committee (since 2013) Tellini has authored approximately 200 publications in international journals and conference proceedings. His leadership extends to academic governance through roles on the DESTEC Department Human Resources Committee and various university committees overseeing scientific qualifications and doctoral programs. His research bridges theoretical measurement principles with practical engineering solutions for energy systems, transportation infrastructure, and industrial monitoring applications.

Djamel Rezguiمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Aeroacoustics
• Flight Dynamics and Control
• +۵ مورد دیگر

Djamel Rezgui is an Associate Professor in Aerospace Engineering at the School of Civil, Aerospace and Design Engineering, University of Bristol, specializing in nonlinear dynamics, aeroacoustics, and flight control of advanced aircraft systems. His research bridges theoretical modeling with experimental validation for next-generation aviation technologies. Education: MEng (Institution unspecified) PhD, University of Bristol (2009) - Thesis: Investigation into Rotor Blade Stability in Autorotation Using Bifurcation and Continuation Methods Research Focus: Dr. Rezgui pioneers experimental control-based continuation techniques for analyzing nonlinear dynamics in rotating-stationary structures and flexible wings. His work on distributed electric propulsion (DEP) systems addresses aeroacoustic challenges in multi-rotor UAVs and eVTOL vehicles, while bio-inspired rotor designs draw from natural samara seed aerodynamics. Key methodologies include bifurcation analysis, whirl flutter stability assessment, and real-time hybrid testing for periodic oscillations. Publication Trends: Recent outputs (2023-2025) reveal concentrated efforts in propeller-wing interaction noise, folding wingtip aeroelasticity, and DEP optimization. Over 40% of his 119 publications tackle aeroacoustic prediction through multi-fidelity solvers, with growing emphasis on turbulent flow effects and phase-synchronized noise reduction for urban air mobility platforms. Research Leadership: Principal Investigator for three major projects: EPSRC MENtOR (EP/S010378/1, £1.2M, 2018-2022), VLN Methods and Experiments for Novel Rotorcraft (£850k, 2018-2021), and VLN MENtOR Bristol (£400k, 2018-2022). Supervised 6 research students with datasets spanning real-time hybrid testing and propeller-wing aeroacoustics. Collaborative Infrastructure: Core member of Bristol's Dynamics and Control group, utilizing wind tunnel facilities for experimental bifurcation analysis of flared folding wingtips and tilting rotors. Active contributor to Vertical Lift Network initiatives and AIAA conferences, with peer-review duties for The Aeronautical Journal .

Malay Kumar Dasمشاهده پروفایل

استاد

• Fluid Dynamics
• Thermal Science
• Energy Conversion
• +۳ مورد دیگر

Malay Kumar Das is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur, specializing in Fluid and Thermal Science. His academic journey includes a PhD from Pennsylvania State University (2008), M.Tech from IIT Kanpur (2003), and B.E. from Bengal Engineering College, Shibpur (1989). Previously, he worked at the West Bengal Power Development Corporation from 1990 to 2001 before transitioning to academia. His research focuses on Energy Conversion and Storage, Hydrodynamic Instability, and Thermal Science. Dr. Das's work bridges fundamental fluid dynamics with practical applications in energy systems and biomedical engineering. His expertise spans computational fluid dynamics, heat transfer phenomena, and energy conversion technologies. Analysis of Dr. Das's recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of fluid mechanics with biomedical applications (such as blood flow modeling in cerebral aneurysms) and sustainable energy technologies (including fuel cells, methane production, and nanofluid applications). His work demonstrates both theoretical depth and practical relevance to contemporary engineering challenges. Dr. Das actively supervises research students, currently guiding 9 PhD candidates and having successfully completed 22 MTech theses with 3 more in progress. His professional activities reflect a commitment to advancing knowledge in thermal and fluid sciences while training the next generation of engineers. Outside academic pursuits, he engages in adventure sports, photography, and aerobics.

• Computational Astrophysics
• Solar Physics
• Magnetohydrodynamics
• +۵ مورد دیگر

Fausto Cattaneo is a Professor and Deputy Chair for Academic Affairs at the Department of Astronomy and Astrophysics, University of Chicago. He is affiliated with the FLASH Center for Computational Science and conducts research in computational astrophysics and solar physics. Dr. Cattaneo received his PhD from the University of Cambridge in 1984 and completed his undergraduate studies at Bristol University in 1979. His research focuses on computational modeling of fundamental astrophysical processes, particularly the generation of magnetic fields, transport of angular momentum in accretion discs, and energy transport by turbulent convection. His work primarily investigates magnetohydrodynamic phenomena in astrophysical contexts, with particular emphasis on dynamo theory, turbulence, and the magnetorotational instability that drives accretion in disks. His research combines theoretical analysis with advanced computational techniques to model complex plasma behaviors in space environments, addressing questions about magnetic field generation and transport mechanisms across various cosmic scales. Dr. Cattaneo's publication record demonstrates consistent focus on plasma astrophysics, magnetic helicities, dynamo action, and turbulence. His most recent work (2022) addresses research opportunities in plasma astrophysics, while his longstanding expertise in magnetorotational instability and MHD turbulence is evident throughout his publication history spanning several decades. As Deputy Chair for Academic Affairs, Dr. Cattaneo plays an important administrative role in his department while maintaining an active research program that continues to advance our understanding of astrophysical plasma processes. His work bridges theoretical astrophysics and computational methods, contributing significantly to our knowledge of fundamental processes governing cosmic magnetic fields and fluid dynamics.

• Turbulent Combustion
• Numerical Simulation
• Heat Transfer
• +۳ مورد دیگر

Ronan Vicquelin is a University Professor (1st Class) at CentraleSupélec, Paris-Saclay University, affiliated with the EM2C Laboratory (CNRS). He serves as Head of the Department of Aeronautics, Space and Transport and co-supervises the High Performance Computing Mésocentre. His academic appointments include previous roles as University Professor (2nd class) and Head of Aerospace programs. Education includes Habilitation (University of Rouen Normandy, 2018), PhD in Energetics (École Centrale Paris, 2010), M.Sc. in Mechanical Engineering & Aerospace (École Centrale Paris, 2006), and Engineering Diploma (École Centrale Paris, 2006). Research focuses on turbulent reacting flows with emphasis on: numerical simulation of combustion systems, LES/DNS methodologies, uncertainty quantification, hydrogen combustion dynamics, conjugate heat transfer, and radiative energy transfer. Current investigations explore flame stabilization mechanisms, multi-physics coupling, and high-performance computing applications for aerospace propulsion systems. Publications predominantly address combustion science, with recent works (2021-2025) emphasizing hydrogen flame dynamics, NOx emission control, advanced numerical methods for reactive flows, and experimental validation of turbulent combustion models. Thermal radiation effects and multi-phase flow interactions constitute emerging themes. Advises multiple PhD candidates with projects funded by ANR, EU programs (ACHIEVE, SOPRANO), and industry partnerships (Safran, Air Liquide). Research grants include PEPR OXY3C, ANR HyMaX, and ANR OXYTEC focusing on zero-emission combustion technologies. Leads experimental and computational research at EM2C Laboratory, coordinating teams working on turbulent combustion diagnostics, high-fidelity simulations, and development of the Mésocentre HPC infrastructure for large-scale CFD.

Luc Deikeمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Oceanography
• Climate Science
• +۵ مورد دیگر

Luc Deike is an Associate Professor at Princeton University, jointly appointed in the Department of Mechanical and Aerospace Engineering and the High Meadows Environmental Institute. His research focuses on multi-phase turbulent systems involving waves, bubbles, and droplets, with applications to environmental science and renewable energy. Education: Ph.D. in Physics, Université Paris Diderot, France (2013) BSc and MSc in Physics, Ecole Normale Supérieure and Université Pierre et Marie Curie, Paris (2006–2010) Research Interests: Dr. Deike's work integrates laboratory experiments and numerical simulations to study fundamental fluid dynamics in environmental contexts. Key areas include ocean wave breaking, air-sea gas exchange, bubble fragmentation in turbulence, sea spray generation, and offshore wind energy. His research bridges nonlinear wave dynamics, climate science, and sustainable materials. Publications: Recent work (2023–2025) emphasizes turbulence modeling, bubble-mediated gas transfer, wave-current interactions, and aerosol physics. Articles consistently explore interfacial phenomena, climate parameterizations, and high-fidelity simulations of oceanic processes. Awards: François Frenkiel Award, APS Division of Fluid Dynamics (2023) Milton Van Dyke Award, APS Division of Fluid Dynamics (2021) NSF CAREER Award (2019) Alfred Rheinstein Faculty Award, Princeton SEAS (2021) Grants & Labs: Leads the Deike Lab and holds multiple NSF/NASA grants (e.g., $1.2M for bubble dynamics in turbulence, 2023–2026). Projects include wind-wave-bubble gas exchange modeling and offshore wind farm optimization. Collaborates with NOAA GFDL and international partners on climate-scale parameterizations.

• Micromanufacturing
• Non-conventional Machining
• Electrochemical Machining (ECM)
• +۷ مورد دیگر

Dr. Krishna Kumar Saxena is a faculty member at KU Leuven, affiliated with the Research and Education - Materials and Mechanical Engineering (Geel Campus) and the Manufacturing Processes and Systems (MaPS) unit in the Arenberg campus. He is actively involved in research, teaching, and engagement, with a focus on non-conventional micromachining processes and hybrid manufacturing technologies. Research Interests: Non-conventional micromachining (ECM, EDM, laser), hybrid laser-electrochemical processes, electrochemical nano-manufacturing, simulation-based virtual sensing, and sustainable manufacturing systems. Teaching: Contributes to courses on smart mechanics and industrial control systems. Engagement: Participates in EU Horizon 2020 projects (MICROMAN, ProSurf), FWO-funded postdoctoral research (2021-2024), and international collaborations (University of Tokyo, NSFC mobility projects).

Amaresh Sahuمشاهده پروفایل

استادیار

• Soft Matter Physics
• Biological Membranes
• Continuum Mechanics
• +۵ مورد دیگر

Amaresh Sahu serves as an Assistant Professor in the Chemical Engineering Department at the University of Texas at Austin, leading the Sahu Lab which focuses on theoretical investigations of soft and living matter systems across multiple length and time scales. His research integrates concepts from chemical engineering, physics, computer science, and applied mathematics to address fundamental questions about how microscopic interactions produce emergent phenomena at larger scales. Dr. Sahu's educational background includes a Ph.D. in Chemical Engineering from the University of California at Berkeley (2022), where he worked with Professor Kranthi Mandadapu, followed by a postdoctoral fellowship in Physiology & Biophysics at Weill Cornell Medicine (2022-2023) with Professor Emre Aksay. He completed his undergraduate studies at Princeton University (2013) with a B.S.E. in Chemical Engineering and minors in Engineering Physics and Applied Mathematics, working with Professor Howard Stone. His research methodology combines analytical theory development with advanced numerical techniques including the finite element method and molecular dynamics simulations. A distinctive aspect of his work involves creating physics-based machine learning approaches that strictly adhere to fundamental physical laws and balance equations. The group frequently draws from continuum mechanics (both fluid and solid mechanics), transport phenomena, statistical mechanics, irreversible thermodynamics, and electrodynamics. Dr. Sahu's publication record demonstrates significant contributions to understanding biological membranes, with multiple papers in Physical Review Letters addressing membrane instabilities, non-equilibrium fluctuations, and computational methods. His recent work on the Arbitrary Lagrangian-Eulerian finite element method represents an important advancement in computational techniques for membrane dynamics. The Sahu Lab actively recruits graduate students through the UT Austin Chemical Engineering program and welcomes postdoctoral scholars and undergraduate researchers interested in theoretical and computational approaches to soft matter physics. The lab emphasizes deep scientific thinking over prior research experience, particularly for undergraduate students.

• Numerical Analysis
• Scientific Computing
• Data Science
• +۴ مورد دیگر

Per-Gunnar J. Martinsson serves as Deputy Director of the Oden Institute and Professor of Mathematics at the University of Texas at Austin, holding the W. A. "Tex" Moncrief, Jr. Endowment in Simulation-Based Engineering and Sciences. He maintains an affiliated professorship at the Royal Institute of Technology (KTH) in Stockholm, where he chairs the MathDataLab scientific advisory board. Previous appointments include faculty positions at the University of Oxford, University of Colorado Boulder (2005-2017), and Yale University. His educational background includes: Ph.D. in Computational and Applied Mathematics, University of Texas at Austin, 2002 Dr. Martinsson's research spans numerical analysis, scientific computing, and data science, with emphasis on randomized linear algebra methods, accelerated direct solvers for elliptic PDEs, structured matrix computations, and numerical techniques for scattering problems, computational fluid dynamics, and acoustics. His work extends to applied harmonic analysis, fast multipole methods, boundary integral equations, and modeling of heterogeneous materials and bandgap phenomena. His notable recognition includes: Germund Dahlquist Prize by SIAM (2017) He actively contributes to the Center for Numerical Analysis and Center for Scientific Machine Learning at the Oden Institute, while providing strategic leadership to KTH's MathDataLab through its scientific advisory board.

Kevin Van Geemمشاهده پروفایل

استاد

• Thermochemical Reaction Engineering
• Sustainable Chemistry
• Kinetic Modeling
• +۴ مورد دیگر

Kevin Van Geem is a full professor at Ghent University's Faculty of Engineering and Architecture, leading the Laboratory for Chemical Technology (LCT) and directing the Center of Sustainable Chemistry. His research focuses on thermochemical reaction engineering, transitioning fossil-based processes to renewable feedstocks, and integrating machine learning with chemical analysis. Director of Ghent University's pilot plants for steam cracking and chemical recycling Author of over 400 publications and founder of a spin-off company Specializes in kinetic modeling, process intensification, and sustainable chemistry His work spans chemical recycling, olefin production, and advanced analytical techniques for complex hydrocarbon mixtures. Recent articles highlight AI-driven catalysis, pyrolysis of polymers, and plasma-assisted CO2 utilization. Scientific awards include: Fulbright Research Scholar He bridges academia and industry through patented technologies and collaborative pilot-scale projects.

Xinfeng Gaoمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• High-Performance Computing (HPC)
• Shock Waves
• +۷ مورد دیگر

Xinfeng Gao is a Professor of Mechanical & Aerospace Engineering at the University of Virginia, leading the CFD & Propulsion Laboratory. She specializes in high-performance computing (HPC) algorithms for fluid dynamics, combustion, and plasma systems. Her work integrates numerical methods, parallel computing, and data analytics to address complex engineering challenges. Prior to UVA, she held a professorship at Colorado State University from 2011 to 2023, establishing the CFD and Propulsion Lab there. She earned her PhD in Aerospace Engineering from the University of Toronto in 2008, followed by postdoctoral research at Lawrence Berkeley National Laboratory (LBNL). Her research focuses on three core areas: high-order CFD methods for high-speed flows, parallel adaptive algorithms for spatial and temporal domains, and HPC combined with data analytics for aerospace design optimizations. Applications include reduced-order models for turbulence, propulsion device innovation, and quantum computing for fluid simulations. She collaborates with national labs (LLNL, LBNL), aerospace industries (Boeing), and software companies to translate research into practical solutions. Her recent grants include the NSF Mid-Career Advancement Award (2022–2025) for CFD+DA integration in commercial tools and UVA’s RIG Award (2025–2026) for gas-surface material studies under extreme conditions. She teaches MAE 6720 (Computational Fluid Dynamics) and MAE 3420 (Computational Methods). Key awards include the 2023 University of Virginia Research Achievement Award and the 2022 NSF MCA Award. Her work emphasizes cross-disciplinary innovation, blending computational science with experimental validation through initiatives like the Gas-Surface-Materials RIG project, involving experts from MAE, MSE, Chemistry, and Physics.