جست‌وجوی استاد و پژوهشگر

Foad Farajiمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence & Machine Learning in Engineering
• Finite Element Methods
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Foad Faraji is a Senior Lecturer in Engineering at the School of Computing, Engineering and Digital Technologies (SCEDT), Teesside University. He holds a PhD in Energy Engineering (2021) and a First-Class Honours MEng in Mechanical Engineering (2016), both from Teesside University. His research focuses on applying Artificial Intelligence, Machine Learning, Finite Element Analysis (FEA), and Computational Fluid Dynamics (CFD) to solve complex engineering problems. He is a Chartered Engineer (IMechE) and Fellow of the Higher Education Academy (FHEA). Research Interests: Machine Learning in Engineering Applications CFD and FEA for Industrial Systems Sustainable Materials Development Fluid Mechanics and Multiphase Flow Modeling Energy Engineering and Reservoir Performance Current Projects (2023–2026): AI-Driven Digital Twin for Pharmaceutical 3D Printing Distortion Rate Modeling in Aluminium Brazing Optimization of Porous Filters via Machine Learning Hydrogen Pipeline Leak Detection Tools Awards and Activities: FHEA (2022) IMechE Mentor for Placement Students Reviewer for Nature Scientific Reports and Gas Science and Engineering Teaching Responsibilities: Computer-Aided Engineering Analysis Finite Element Methods and CFD Applied Machine Learning for Engineers International Program Coordination (UAE/Singapore)

Richard V.E. Lovelaceمشاهده پروفایل

استاد

• Astrophysics
• Plasma Physics
• Computational Fluid Dynamics
• +۳ مورد دیگر

Richard V.E. Lovelace is a Professor at Cornell University's College of Engineering. He has been affiliated with the Cornell Laboratory of Plasma Studies and joined the faculty in 1972. His research focuses on astrophysical flows, plasmas, magnetic fields in accretion disks, and relativistic jets from celestial objects like neutron stars and black holes. He collaborates internationally, notably with a US-Russia partnership on plasma astrophysics. Richard holds a B.S. in Physics from Washington University (1964) and a Ph.D. in Physics from Cornell University (1970), supported by National Science Foundation and Cornell University Fellowships. His academic journey includes roles as a research associate at the U.S. Naval Research Laboratory and the Cornell Laboratory of Plasma Studies before his faculty appointment. His research interests span plasma phenomena in accretion flows, relativistic jets, magnetic field dynamics, and computational modeling. He has contributed to theories of Poynting jets, Rossby vortices, and collisionless magnetic reconnection. His work bridges observational data (e.g., X-ray measurements) with simulations to explain cosmic phenomena like funnel flows and jet formation. Richard has received prestigious honors including the Guggenheim Fellowship (1999), Overseas Fellowship at Churchill College (1994), and Fellow of the American Physical Society (2002). He has served on the Advisory Board of the Guggenheim Foundation (2000–2010) and editorial boards of journals such as Physics of Plasmas (Associate Editor, 2003–present) and Physical Review Letters (Associate Editor, 1995–2000). Though no formal advisees are listed, his research contributions and editorial roles highlight significant mentorship and academic leadership. He leads studies at the Cornell Laboratory of Plasma Studies, focusing on plasma astrophysics and magnetohydrodynamics. His work integrates computational methods with astrophysical observations to explore complex systems like active galactic nuclei and binary star systems.

Matthias Schröterمشاهده پروفایل

دانشیار مدعو

• Granular Physics
• Statistical Mechanics
• Materials Science
• +۳ مورد دیگر

Dr. Matthias Schröter is an Adjunct Associate Professor at Duke Kunshan University and a consultant at Hypatia - Science Consulting. His research focuses on granular physics, statistical mechanics, and imaging techniques, with emphasis on granular packing structures, fluid dynamics, and material characterization. He holds a habilitation (postdoctoral qualification) and has conducted postdoctoral research from 2015-2018. His work spans experimental and theoretical studies, including analysis of granular shear bands, X-ray tomography of particle systems, and neutron tomography for porous media. He has contributed to understanding contact networks in frictional ellipsoid packs and coarsening mechanisms in granular mixtures. His expertise includes advanced imaging methods such as superresolution microscopy and neutron tomography. Research interests include granular matter dynamics, phase transitions in granular systems, and structural analysis of amorphous materials. His publications frequently address experimental methodologies for granular media characterization and fluid dynamics in porous systems. He has advised on projects involving granular segregation, fluid flow in porous media, and thermal characterization of granular systems. His consulting work bridges academic research with industrial applications in materials science and imaging technology.