جست‌وجوی استاد و پژوهشگر

• Tribology
• Mechanical Engineering
• Material Science
• +۳ مورد دیگر

Farshid Sadeghi is the Cummins Distinguished Professor of Mechanical Engineering at Purdue University’s School of Mechanical Engineering. His expertise spans tribology, contact mechanics, and surface engineering with a focus on rolling/sliding systems. He holds degrees from the University of Tennessee (B.S., M.S.) and North Carolina State University (Ph.D.). Research interests include rolling contact fatigue, lubrication regimes, bearing dynamics, and advanced materials. His work integrates experimental and computational methods, such as finite element modeling and micro-PIV fluid flow analysis. Key contributions include predictive models for spall formation, fretting wear, and material microstructure effects on fatigue life. Notable awards include ASME and STLE Fellowships, the H.L. Solberg Teaching Award, and several student poster competition medals. He directs the Mechanical Engineering Tribology Laboratory (METL), advancing innovations in lubrication, surface modification, and tribosystem design. Publications span 40+ years, addressing topics like cage dynamics, hydrogen effects on tribology, and nanotechnology-based solid lubricants. His research bridges fundamental mechanics with industrial applications in automotive, aerospace, and energy sectors.

• Computational Fluid Dynamics
• Thermal Management
• Gas Turbine Aero-Thermal Systems
• +۴ مورد دیگر

Tom Shih is a Professor of Aeronautics and Astronautics at Purdue University's School of Aeronautics and Astronautics since 2009. He holds degrees from National Cheng Kung University (B.S.E., 1976), University of Michigan (M.S.E., 1977; Ph.D., 1981). His research focuses on computational fluid dynamics, thermal management, and gas turbine aero-thermal systems. He serves as Editor-in-Chief of the AIAA Journal and chairs multiple professional committees. Education: B.S.E., National Cheng Kung University, 1976 M.S.E., University of Michigan, 1977 Ph.D., University of Michigan, 1981 Research Interests: Computational fluid dynamics (CFD), thermal management systems, gas turbine aerothermal analysis, shock-wave/boundary-layer interactions, aircraft icing mechanisms, and advanced cooling technologies for aerospace applications. Key Publications Trends: Recent work emphasizes hybrid LES/RANS modeling, film cooling optimization, and thermal management in rotating systems. Studies often bridge CFD methodology with experimental validation in turbine cooling and heat transfer. Awards: Fellowships: ASME (200?), AIAA (200?) Ralph R. Teetor Award (SAE, 1986) AIAA Energy Systems Award (2015) AIAA Thermophysics Award (2020) Grants & Advising: Advises on turbine cooling projects. Leads editorial efforts at AIAA Journal. Active in professional societies including AIAA Terrestrial Energy Systems Technical Committee and ASME IGTI K-14 Committee. Labs/Teams: Engaged in Purdue's aerothermodynamics research group, collaborating on turbine cooling and CFD methodology advancements.

Rainer Kurzمشاهده پروفایل

استاد مدعو

• Turbomachinery
• Gas Turbine Engineering
• Aerodynamics
• +۵ مورد دیگر

Rainer Kurz is an Adjunct Professor at the Department of Aerospace Engineering, San Diego State University (SDSU). He retired as Manager of Gas Compressor Engineering at Solar Turbines Incorporated, where he specialized in aerodynamic, rotordynamic, and mechanical design of centrifugal gas compressors. Currently, he leads RKSBenergy LLC, focusing on energy systems and decarbonization. He earned a Dr.-Ing. from Universität der Bundeswehr in Hamburg, Germany (1991). His research spans turbomachinery, gas turbine systems, compressor design, and hydrogen integration into energy infrastructure. Key interests include aerodynamic optimization, decarbonization strategies, and sustainable energy transitions. He has authored over 30 peer-reviewed articles and holds 3 U.S. patents. Dr. Kurz is an ASME Fellow, recipient of the 2013 ASME Industrial Gas Turbine Award, and serves on the GMRC Board of Directors, ASME PTC 10 committee, and Turbomachinery Symposium Advisory Committee. His work addresses challenges in compressor performance, fouling mechanisms, and hydrogen-natural gas mixture transportation. Recent research highlights include studies on CO₂ emissions reduction in industrial turbines, hydrogen pipeline infrastructure, and optimal design methods for compressor plants. His contributions bridge academic research with industrial applications in oil/gas and renewable energy sectors.

• Tribology
• Mechanical Engineering
• Rotordynamics
• +۵ مورد دیگر

Dr. Daejong Kim is an Associate Professor in the Department of Mechanical and Aerospace Engineering at The University of Texas at Arlington since 2014. Previously, he served as an Assistant Professor at UTA (2008–2014) and Texas A&M University (2004–2008). His expertise spans tribology, rotordynamics, and gas bearing systems, with a focus on oil-free turbomachinery and microscale applications. He holds patents in foil bearing design and has received awards including the Foreign Expert Friendship Award (2016) and ASME’s Best Reviewer Award (2008). Education : PhD in Mechanical Engineering (UT Austin, 2004), MS & BS in Mechanical Engineering (Seoul National University, 1993/1991). Professional memberships include ASME and STLE. Research : Specializes in foil bearings, rotor dynamics, and thermal analysis. Key areas include hybrid thrust bearings, supercritical CO₂ power cycles, and closed-loop turbomachinery. His work emphasizes high-speed, oil-free systems for aerospace and energy applications. Grants & Awards : Over $5M in funded projects from AFOSR, ONR, and industry partners (e.g., General Atomics, Bellkim Energy). Awards include the 2005 ASME Innovative Research Award for micro gas bearings. Labs & Teams : Leads research in advanced bearing design and testing at UTA, with collaborations on military and commercial aerospace projects. Supervises over 30 graduate and undergraduate students in experimental and computational studies.

• Structural Dynamics
• Composite Structure Design
• Experimental Modal Analysis
• +۵ مورد دیگر

Bekir Bediz is an Associate Professor at Sabanci University , Faculty of Engineering and Natural Sciences, with a focus on structural dynamics and multi-scale manufacturing processes. He holds a Ph.D. in Mechanical Engineering from Carnegie Mellon University (2014) and earlier degrees from Middle East Technical University (B.S. 2006, M.S. 2009). Education: Ph.D., Mechanical Engineering, Carnegie Mellon University (2014) M.Sc., Mechanical Engineering, Middle East Technical University (2009) B.S., Mechanical Engineering, Middle East Technical University (2006) Academic Positions: Associate Professor, Sabanci University (2023–present) Assistant Professor, Sabanci University (2016–2023) Instructor, Middle East Technical University (2015–2016) Post-doctoral Researcher, Carnegie Mellon University (2015) Research Interests include high-fidelity dynamic modeling of complex structures, variable stiffness composite design, experimental modal analysis, mechanical micromachining, and vibration energy harvesting systems. His work integrates spectral Chebyshev methods with lamination parameters to optimize composite panels and develop novel manufacturing techniques for micro-devices. Recent Publications highlight advancements in: Active magnetic bearing spindle design for micro-milling Manufacturable variable stiffness composite laminates Particle damper integration in additive manufacturing Microneedle array fabrication for localized drug delivery Nonlinear vibration analysis of rotating functionally graded beams Scientific Awards include multiple TUBITAK grants for projects on: Multi-objective optimization of stiffened composite panels (TUBITAK 1001, 2023–2026) Ultra-high-speed spindle design (TUBITAK 1002, 2023–2024) Variable stiffness composite manufacturing (TUBITAK 1005, 2020–2022) Research Group includes Ph.D. and M.Sc. students working on composite optimization, microneedle design, and spindle dynamics. His projects often involve collaborations with institutions like Koc University, Istanbul Technical University, and Hacettepe University.

Jianming Yangمشاهده پروفایل

استاد

• Vibration and Dynamics
• Mechanical Engineering
• Fatigue Prediction
• +۵ مورد دیگر

Jianming (James) Yang is a Professor in the Faculty of Engineering and Applied Science at Memorial University of Newfoundland. He holds a PhD from Tianjin University and has extensive industry experience as a mechanical design engineer, followed by academic roles at Guilin University of Electronic Technology and University of Shanghai for Science and Technology. His work focuses on mechanical vibration/dynamics, nonlinear random vibration analysis, and fatigue prediction in mechanical systems. Dr. Yang's research emphasizes modeling drillstring dynamics, fatigue control in drilling systems, and random vibration analysis of planetary gear trains in wind turbines. His expertise spans machine design, solid mechanics, and wind turbine simulation. Key contributions include developing empirical models for drilling performance prediction and stochastic linearization techniques for gear dynamics. His academic journey includes post-doctoral studies at Shanghai Jiao Tong University and a career transition from industry to academia in 2003. He has authored numerous publications on mechanical systems, vibration analysis, and renewable energy applications. Notable research trends include advancing predictive models for drilling efficiency, optimizing gear train reliability under random loads, and integrating machine learning for wind turbine performance analysis. Dr. Yang's work bridges theoretical mechanics and practical engineering challenges, contributing to advancements in energy systems and sustainable manufacturing processes.

Hans DeSmidtمشاهده پروفایل

استاد

• Structural Dynamics
• Controls Engineering
• Rotordynamics
• +۶ مورد دیگر

Hans A. DeSmidt is a Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville (UTK). He holds a PhD from Pennsylvania State University (2005) and has been a faculty member since 2005, progressing from Assistant to Associate Professor before his current rank. His research focuses on structural dynamics, rotordynamics, and vibration control, with specialties in automatic balancing systems, gear drives, and aerospace propulsion systems. He is affiliated with the Structural Dynamics and Controls Laboratory at UTK. Key research areas include: Nonlinear dynamics of rotor systems Face-gear drives and planetary gear transmissions Active magnetic bearing control Pericyclic transmission design Damage identification in rotating machinery His work has produced over 50 peer-reviewed publications, emphasizing vibration suppression strategies and advanced driveline technologies. Notable contributions include development of enhanced automatic dynamic balancers and parametric instability analysis in gear systems. He has received prestigious awards including the NSF Career Award (2008) and multiple best paper awards from AHS and ASME. Current projects involve electrified aircraft propulsion systems, high-reduction-ratio pericyclic drives, and rotorcraft transmission dynamics. His research bridges theoretical analysis and experimental validation, often conducted at UTK's facilities and in collaboration with NASA and industry partners.

• Rotor Dynamics
• Mechanical Vibrations
• Structural Dynamics
• +۳ مورد دیگر

Michael Klanner is an Associate Professor at the Institute of Mechanics at TU Wien. His research focuses on rotor dynamics, structural vibrations, and numerical methods for mechanical systems. He has contributed to advanced topics like fractional damping models, transient analysis of beams with nonlinear boundary conditions, and NVH optimization in hybrid battery housing designs. His work bridges theoretical models and experimental validation, particularly in rotor balancing techniques and viscoelastic material behavior. Klanner actively participates in international conferences such as ISMA and USD, presenting cutting-edge findings on rotor-bearing systems and wave-based methods. He leads a 2025–2029 FWF project on transient vibroacoustic problems, aiming to develop wave-based methodologies for complex structural dynamics challenges. His research emphasizes interdisciplinary applications in automotive and mechanical engineering, with a focus on improving dynamic system performance through advanced computational tools. Key research areas include rotor dynamics (e.g., flexible rotors, anisotropic bearings), structural acoustics (hybrid materials, damping properties), and numerical methods (Trefftz approach, polynomial chaos expansion). He collaborates internationally, addressing challenges like uncertainty quantification in parameters and experimental validation of numerical models. Klanner’s contributions span academic publications (34+ articles), conference presentations (33+), and applied engineering solutions in automotive and mechanical systems.

Jürg Alexander Schiffmannمشاهده پروفایل

دانشیار

• Gas lubricated bearings
• Small-scale turbomachinery
• Mechanical design optimization
• +۵ مورد دیگر

Jürg Alexander Schiffmann is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory for Applied Mechanical Design (LAMD). His work focuses on gas-lubricated bearings, small-scale turbomachinery, and automated design methodologies for energy systems. Academic Affiliation: EPFL School of Engineering Key Roles: Teaching, PhD program committee member (Energy & Robotics), Lab Director Research Interests His research bridges mechanical design optimization and small-scale energy systems , with a focus on gas bearings for turbocompressors, Organic Rankine Cycles for waste heat recovery, and herringbone grooved journal bearings . He pioneers AI-driven tools like DARTS-NETGAB for real-time turbomachinery simulation and surrogate modeling for robust design. Recent Publications span 2025–2023, emphasizing neural networks in optimization, experimental validation of gas bearings, and thermal management in high-speed turbomachinery. Trends highlight cross-disciplinary integration of AI and energy systems. Scientific Awards SwissElectric Research Award (PhD work) Advising includes supervising 25+ PhD students (e.g., Abramishvili Anna, Massoudi Soheyl) on topics like scroll expanders , rotordynamics , and haptics in automated driving . His grants involve collaborations with MIT, CERN, and industry partners like Fischer Engineering Solutions.

• Flow Measurement
• Signal Processing
• Sensor Validation
• +۴ مورد دیگر

Dr. Manus Henry is a Professor in the Department of Engineering Science at the University of Oxford, specializing in sensor validation, industrial instrumentation, and signal processing. He holds a BSc and DPhil in Mathematics/Computer Science and Computer Science from the University of York. His research focuses on Coriolis mass flow metering, multiphase flow measurement, and advanced signal processing techniques like Prism filtering. He co-led a University Technology Centre sponsored by Invensys/Schneider Electric (1999–2015), fostering industry-academia collaboration. He serves as an associate editor for Flow Measurement and Instrumentation and advises the UK's BEIS Programme Expert Group on flow metrology. Key achievements include the 2007 Wheatstone Measurement Prize for Coriolis meter innovation. His work addresses challenges in carbon capture, oil/gas well testing, and biomedical device design. Recent research emphasizes ultra-precise FFT algorithms and vortex-induced energy harvesting systems. His contributions span fluid dynamics, instrumentation engineering, and IoT-enabled measurement validation. Current projects involve optimizing additive manufacturing cooling systems and developing real-time spectral analysis methods. He actively publishes on topics ranging from CFD analysis to low-pass filtering innovations, maintaining a strong industrial focus through partnerships with major engineering firms.

• Renewable Energy
• Fluid Mechanics
• Tidal Energy Systems
• +۳ مورد دیگر

Amanda Smyth is a Departmental Lecturer at the Oxford Department of Engineering Science, University of Oxford. She holds an MEng in Mechanical Engineering from Imperial College London (2011-2015) and a PhD on tidal turbine fluid mechanics from the University of Cambridge (2015-2019). Before joining Oxford in 2020, she conducted postdoctoral research at the Whittle Laboratory, Cambridge under an EPSRC Doctoral Fellowship. Her research focuses on tidal energy systems, fluid mechanics, and computational fluid dynamics (CFD), with particular emphasis on optimizing tidal turbine performance and energy resource assessments in marine environments. Dr Smyth’s work spans theoretical and experimental studies, including tidal array configurations, unsteady flow interactions, and passive load mitigation strategies. She has contributed to advancing understanding of turbine wake dynamics, gust-turbine interactions, and morphing blade technologies. Her career highlights include a Career Development Fellowship at St Hugh's College, Oxford, and publications in high-impact journals addressing tidal energy resource constraints and hydrodynamic modeling challenges. Her research has implications for sustainable energy generation and environmental impact assessments in marine renewable projects. Key contributions include methodologies for evaluating tidal stream energy potential and mitigating unsteady loads on marine turbines through innovative design approaches.

Ronald Aartsمشاهده پروفایل

دانشیار

• Robotics
• Machine Learning
• Motion Control
• +۵ مورد دیگر

Ronald Aarts serves as an Associate Professor in Applied Mechanics & Data Analysis at Delft University of Technology, with over 25 years of research output spanning computational mechanics, robotics, and industrial mechanisms. His work bridges theoretical modeling and practical applications in high-precision engineering systems. His research portfolio emphasizes: Robotics for industrial automation and biomedical applications (e.g., BalRoom balance testing) Machine Learning integration in dynamic system modeling and control Motion Control systems for laser processing and robotic welding Flexure Engineering and compliant mechanisms design Sensor Integration in real-time industrial environments Analysis of his 2024-2025 publications reveals a strategic pivot toward laser-based additive manufacturing, with three papers on deformable mirror beam shaping for microstructure control in Directed Energy Deposition. Concurrently, he advances kinematic alignment techniques for parallel mechanisms and neural-network-driven inverse dynamics modeling, demonstrating cross-pollination between computational mechanics and AI. Professor Aarts has supervised 14 students and delivered 10 professional activities including keynote presentations on robot identification and rotordynamics. His BalRoom dataset for elderly balance assessment exemplifies interdisciplinary collaboration between mechanical engineering and biomedical research.

James Scobieمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Gas Turbine Technologies
• Turbomachinery Seals
• +۵ مورد دیگر

Dr James Scobie is an Associate Professor in the Department of Mechanical Engineering at the University of Bath. He is affiliated with the IAAPS and the Centre for Sustainable Energy Systems (SES), contributing to advanced research in gas turbine cooling and turbomachinery systems. Scobie holds a MEng (Hons) in Mechanical Engineering and a PhD in experimental gas turbine fluid dynamics from the University of Bath, followed by a Post-doctoral Research Associate role and a Prize Fellowship (2015). He previously worked at Rolls-Royce plc. His research focuses on optimizing gas turbine secondary air systems, particularly experimental modeling of hot-gas ingestion through turbine rim seals, fluid dynamics of rotating flow systems, novel shaft sealing technologies, and interactions between sealing and mainstream flows. He is actively involved in supervising doctoral students in fluid dynamics, gas turbine technologies, internal air systems, and thermal imaging techniques. Key research contributions include developing ingress wave models, analyzing purge-mainstream density ratios, and advancing brush seal dynamics. His work employs combined experimental and computational methods, including turbulence-resolved modeling and volumetric velocimetry. Recent studies emphasize rotor dynamics, unsteady flow phenomena, and thermal management in rotating compressor/turbine cavities. Recipient of the American Society of Mechanical Engineers Gas Turbine Award 2023 (2025) Won Best Paper Awards at the ASME Turbo Expo Technical Conference in both 2024 and 2023 Active in grants and contracts, he leads Innovate UK-funded projects (KTP collaborations with Cross Manufacturing and Modini Limited) and coordinates EPSRC-funded initiatives like the IAA – Effect of Density on Hot Gas Ingestion (2021–2022). His research also extends to EU Horizon 2020 projects involving advanced additive manufacturing for turbine cavities. He collaborates with industry partners such as Siemens and Rolls-Royce, leveraging datasets from EPSRC-funded programs. Scobie’s expertise is further showcased through his supervision of the Turbomachinery Research Centre and contributions to thermal profiling of cooled radial turbines, adaptive seal technologies, and aeroengine cooling system optimization.

Adolfo Delgadoمشاهده پروفایل

دانشیار

• Rotordynamics
• Tribology
• Fluid-Structure Interaction
• +۱ مورد دیگر

Adolfo Delgado is Associate Professor of Mechanical Engineering at Texas A&M University, specializing in rotordynamics and tribology. His research advances bearing technologies for rotating machinery through experimental characterization and modeling. Education: Ph.D. in Mechanical Engineering, Texas A&M University (2008) M.S. in Mechanical Engineering, Texas A&M University (2005) B.Sc. in Mechanical Engineering, Universidad Simón Bolívar (2002) Research Focus: Dynamic characterization of fluid-film bearings Vibration control in rotating systems Advanced lubrication technologies His experimental work on gas-lubricated bearings and squeeze film dampers has produced improved predictive models for industrial applications. Recent publications address thermal management challenges in next-generation bearing systems. Awards: Best Paper Award, ASME Turbo Expo (2011)

Alan Palazzoloمشاهده پروفایل

استاد

• Rotordynamics
• Magnetic Bearings
• Fluid Film Bearings
• +۷ مورد دیگر

Alan Palazzolo is a Professor of Mechanical Engineering at Texas A&M University, holding the James J. Cain Professorship I. He leads the Vibration Control Electromechanics and Flow Lab, focusing on rotordynamics, magnetic bearings, fluid film bearings, and energy storage systems. His research integrates computational methods with experimental validation, addressing challenges in mechanical systems such as thermal instability, vibration suppression, and fluid dynamics. Palazzolo earned his Ph.D. (1981), M.S. (1977), and B.S. (1976) in Mechanical Engineering and Engineering Physics from the University of Virginia and University of Toledo, respectively. His work spans diverse applications, including geothermal drilling dynamics, hemodynamic assist devices, and aerospace propulsion systems. His research interests emphasize computational fluid dynamics (CFD), nonlinear vibrations, and rotordynamic stability. Notable contributions include pioneering studies on the Morton effect (thermal bow-induced instability) and advancements in high-temperature magnetic bearing systems. He has authored over 300 publications and holds several patents. Palazzolo’s honors include the ASME Best Paper Award (2014, 2016), the Lifetime Achievement Award in Magnetic Bearings (2012), and the R&D 100 Award (2003). He is a Fellow of the ASME and a Senior Fellow at Texas A&M’s Engineering Experiment Station. Key research sponsors include NASA, the Department of Energy (DOE), and the Army Research Lab. His lab collaborates on projects ranging from flywheel energy storage to vibration-attenuation systems for drillstrings.