جست‌وجوی استاد و پژوهشگر

Elon Terrellمشاهده پروفایل

مدرس ارشد

• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• Thermodynamics
• +۹ مورد دیگر

Elon Terrell is a Senior Lecturer in the Department of Mechanical Engineering at Baylor University, within the College of Engineering. He holds a PhD in Mechanical Engineering from Carnegie Mellon University and both an MS and BS from The University of Texas at Austin. PhD, Mechanical Engineering, Carnegie Mellon University MS, Mechanical Engineering, The University of Texas at Austin BS, Mechanical Engineering, The University of Texas at Austin Dr. Terrell's research focuses on fluid mechanics, computational fluid dynamics (CFD), thermodynamics, heat transfer, energy systems, and tribology , particularly in the areas of friction, lubrication, wear, and nanoscale surface interactions. His work bridges fundamental mechanics with practical applications in energy and manufacturing systems. His 15 most recent publications, spanning from 2006 to 2017, reveal a strong focus on tribology , especially in chemical mechanical polishing (CMP), nanolubricants, graphene, and biodiesel applications. Keywords across these works include mechanical engineering, materials science, nanotechnology, and fluid dynamics, with subfields such as nanotribology, wear mechanisms, lubricant additives, and hydrodynamic modeling. His research demonstrates a consistent emphasis on experimental validation and computational modeling of surface and fluid interactions. Dr. Terrell has made significant contributions to green tribology and sustainable engineering, including studies on wind turbine systems and bio-based lubricants. His collaborative work with researchers like C. F. Higgs III and J. P. Kyle highlights interdisciplinary engagement in semiconductor manufacturing and nanomaterial applications. He teaches foundational and advanced courses such as Introduction to Engineering, Statics, Thermodynamics, Heat Transfer, and Tribology. While no formal advisees or awards are listed, his publication record and teaching load reflect an active academic role. He is based in Rogers 200K at Baylor and can be contacted at Elon_Terrell@baylor.edu .

Stefan Hiermaierمشاهده پروفایل

استاد

• Lifecycle analysis
• Resilience quantification
• Materials behavior under dynamic loads
• +۷ مورد دیگر

Professor Stefan Hiermaier serves as the Gips Schüle Chair for Sustainable Systems Engineering at the Technical Faculty of Albert Ludwigs University of Freiburg and Director of the Fraunhofer Institute for High-Speed Dynamics (EMI). He also holds a guest professorship at Oxford University and coordinates the Sustainability Performance Center, a strategic collaboration between five Fraunhofer Institutes in Freiburg and the University of Freiburg. Education: Studied air- and space-travel technologies at the University of Federal Armed Forces in Munich Doctorate in 1996 at the Faculty for Construction Engineering and Surveying Habilitation in 2002 at the same faculty Awarded professorship of High Dynamics in 2008 Professor Hiermaier's research centers on sustainable engineering solutions with three core pillars: sustainable materials, dynamic materials characterization, and failure mechanisms. His work integrates experimental and numerical approaches to examine energy efficiency and resource protection, with particular emphasis on strain-rate dependencies and material behavior under extreme loads. He has pioneered innovative test methodologies including Split-Hopkinson techniques for dynamic materials testing and in-situ X-ray computer tomography for examining damage-formation mechanisms. Current research projects include: SCHARF – Concurrent multi-scale characterization of robust functional material systems (Carl Zeiss Foundation) PROSET – Prospective Assessment of Emerging Technologies (Eva Mayr Stihl Foundation) BeSurf – Beyond the Surface (Gips Schüle Foundation) He has made significant editorial contributions as co-editor of the International Journal of Impact Engineering and editor of the series Epsilon-Punkt-Forschungsergebnisse aus der Kurzzeitdynamik . From 2012 to 2016, he served as president of the DYMAT association (European association for research into dynamic material behavior). His teaching portfolio includes Fundamentals of Resilience, Physics of Failure, Material Life Cycles, Particle Methods in Engineering, and Dynamics of Materials. His research receives support from major foundations including Carl Zeiss, Eva Mayr Stihl, and Gips Schüle.

• Numerical Analysis
• Partial Differential Equations
• Scientific Computing
• +۳ مورد دیگر

Prof. Dr. Willy Dörfler is a full professor at the Institute for Applied and Numerical Mathematics within the Faculty of Mathematics at Karlsruhe Institute of Technology (KIT). He leads the research group on Numerical Methods for Partial Differential Equations and teaches advanced courses including Adaptive Finite Element Methods and Modeling and Simulation of Li-Ion Batteries . His work focuses on numerical analysis, scientific computing, and multi-physics simulations. His research spans Partial differential equations with adaptive discretization Wave propagation and space-time methods Battery modeling with chemo-mechanical coupling Lattice Boltzmann techniques for fluid dynamics Applications in mechanics, optics, and electrochemistry as evidenced by his 15 most recent publications. These works emphasize finite element methods, discontinuous Galerkin approaches, and high-performance computing for complex systems. Contact: willy.doerfler@kit.edu | Office hours: Mondays 14:30–15:30 during lecture periods

Sham Raneمشاهده پروفایل

پژوهشگر ارشد

• Computational Fluid Dynamics
• Positive Displacement Machines
• Twin Screw Compressors and Expanders
• +۷ مورد دیگر

Dr. Sham Rane serves as a Senior Research Fellow in Compressor Technology at City, University of London, where he has been employed since January 2020. Previously, he held positions as a Post Doctoral Research Associate at the University of Oxford (2018-2020) and as a Research Fellow in Compressor Technology at City, University of London (2014-2018). Dr. Rane earned his PhD in Mechanical Engineering from City, University of London in 2014, following an MTech in Mechanical Engineering from Indian Institute of Engineering Science and Technology in 2008, and a BEng in Mechanical Engineering from University of Pune in 2004. His academic journey began with industrial experience as a manufacturing engineer at Forbes Marshall India and as an application engineer at ANSYS FLUENT India. His primary research focuses on computational fluid dynamics (CFD) applied to positive displacement machines, with specialization in twin screw compressors and expanders. Dr. Rane has made significant contributions to grid generation techniques, deforming meshes for complex rotor geometries, multiphase flow analysis, and oil injection systems. His work bridges theoretical modeling with practical industrial applications in compressor design, thermal management, and energy recovery systems. Recent research trends show Dr. Rane's expanding expertise into geothermal energy systems, hydrogen technology, and desalination applications. His publications demonstrate sophisticated modeling approaches for leakage flows, conjugate heat transfer, and performance optimization across various compressor configurations. Notably, he has developed specialized techniques for radial gap analysis in Roots blowers and advanced grid generation methods for rotary machines. Dr. Rane has been instrumental in the development and commercialization of the SCORG grid generation technology through PDM Analysis Ltd., which serves both industrial and academic research communities. His teaching responsibilities include EPM767 - Screw Compressor Design and courses on mathematical modeling in computer-aided design of screw compressors, where students engage in hands-on design studies using specialized software developed from his research.

• Environmental Health Sciences
• Microplastics and Nanoplastics
• Atmospheric Chemistry
• +۴ مورد دیگر

Cassandra Rauert is a Senior Research Fellow at the Queensland Alliance for Environmental Health Sciences (QAEHS) within the University of Queensland's Faculty of Health, Medicine and Behavioural Sciences. She specializes in analytical chemistry and environmental health, focusing on human exposure to microplastics, nanoplastics, and chemical additives from tyre road wear particles, with a strong emphasis on atmospheric chemistry and biomonitoring methods. Education: Bachelor (Honours) of Science (Advanced), University of Sydney Doctor of Philosophy, University of Birmingham Her research investigates the environmental occurrence of microplastics, their transport through ecosystems, and their impact on human health. She leads projects on quantifying plastics in human matrices (e.g., blood, breast milk) and developing non-invasive biomonitoring tools like silicone wristbands. Her work also encompasses tyre wear particles, their chemical leachates, and the design of plastic-minimized laboratories to reduce contamination risks. Recent publications highlight her contributions to microplastic quantification in food, beverages, and environmental samples, alongside challenges in analytical methods. She supervises multiple PhD students in environmental health and has secured grants from the ARC and NHMRC for projects like the INQUIRE initiative on healthier homes in Europe. Collaborations with the Minderoo Foundation and international institutions underscore her global impact in addressing plastic pollution.

Jennyمشاهده پروفایل

استاد

• Turbulent Combustion Modeling
• Computational Fluid Dynamics
• Rarefied Gas Kinetics
• +۴ مورد دیگر

Professor Jenny leads the Jenny Research Group at ETH Zürich, specializing in turbulent reactive flows, rarefied gas kinetics, and biomedical fluid dynamics. Her work bridges fundamental research with industrial applications in energy systems and fluid mechanics. Develops advanced turbulence models (TDDM, hybrid LES/RANS) for multi-scale flows Pioneers data assimilation frameworks for RANS simulations using adjoint methods Advances particle-based stochastic algorithms for fractured porous media transport Her recent publications emphasize adaptive time integration techniques, probabilistic modeling of non-linear transport phenomena, and optimized simulation tools for hydrogen storage systems. The group's methodological innovations focus on reducing computational costs while maintaining physical accuracy through novel regularization strategies. Key applications include combustion device optimization, high-pressure tank filling analysis, and fractured reservoir simulations. Current projects integrate machine learning with traditional CFD methods to address challenges in droplet clustering, flame surface density propagation, and supersonic spray dynamics. The research framework spans from direct numerical simulations of fundamental flow physics to industrial-scale hybrid modeling implementations.