جستجوی استاد راهنمای دانشگاهی

Kshitij Sabnisمشاهده پروفایل

مدرس

• Experimental Aerodynamics
• High-Speed Aerodynamics
• Vehicle Aerodynamics
• +۷ مورد دیگر

Kshitij Sabnis is a Lecturer in Aerospace Engineering at the School of Engineering and Materials Science, Queen Mary University of London. He serves as Admissions Lead and Outreach & Recruitment Lead for Aerospace Engineering, and Deputy Director of Industrial Engagement (Graduate Attributes). He is affiliated with the Centre for Intelligent Transport and conducts experimental research in high-speed aerodynamics. Education: PhD in Experimental Aerodynamics, University of Cambridge Master’s in Physics Dr Sabnis's research focuses on experimental aerodynamics across various speed regimes, particularly shock/boundary-layer interactions, vortex dynamics, and supersonic flows. His work involves wind tunnel experiments on simplified models to understand complex fluid mechanics in applications ranging from racecar wings to supersonic aircraft intakes. He employs advanced diagnostics and develops novel experimental setups to enhance physical insight into flow phenomena. His recent publications (2019–2025) reflect a strong emphasis on high-speed flow behavior, including shock-induced separation, vortex interactions, and nacelle aerodynamics. Key themes include flow control, wind tunnel design, and validation of turbulence models. His work bridges fundamental fluid dynamics with practical aerospace engineering challenges. Scientific Awards: FHEA (Fellow of the Higher Education Academy) Dr Sabnis actively supervises PhD students and leads externally funded research projects. He has secured grants from EPSRC and the Royal Society, supporting work on schlieren imaging enhancement and small-scale wind turbines for rural energy. He teaches advanced aerodynamics modules and contributes to curriculum and industrial engagement. He leads a research group focused on experimental high-speed aerodynamics and is involved in developing new diagnostic techniques and test rigs. His team investigates vortex interactions and aerodynamic performance under extreme flow conditions.

• Aeroacoustics
• Computational Fluid Dynamics (CFD)
• Noise Propagation Modeling
• +۳ مورد دیگر

Professor Alec Wilson holds the position of Professor in Computational Aeroacoustics at the University of Southampton, where he serves as Director of the Rolls-Royce University Technology Centre (UTC) in Propulsion Systems Noise within the Faculty of Engineering and Physical Sciences. His career spans academic research and industrial collaboration, focusing on aeroengine noise sources, sound propagation modeling, and computational fluid dynamics (CFD) applications for aerospace systems. University of Southampton (2016–present): Professor in Computational Aeroacoustics Rolls-Royce (prior to 2016): Technical specialist in aeroengine noise and CFD Research Interests: Alec’s work centers on advancing eigen analysis techniques for acoustic propagation in complex duct geometries and mean flows. His research addresses challenges in next-generation aircraft noise modeling, including boundary layer effects, transonic fan optimization, and multi-disciplinary design approaches. Key contributions include developing fast, computationally efficient methods for noise prediction and sensitivity analysis in propulsion systems. Recent Research Trends: His 2024 publications focus on tone noise propagation and buzz-saw noise under flow distortion, while earlier works (2019–2022) explore non-uniform duct modeling, adjoint optimization for blade design, and error quantification in eigen analysis. Scientific Awards: Rolls-Royce Engineering Fellowship (Associate Fellow in Aerodynamics, Hydrodynamics, and Computational Fluid Dynamics) Teaching & Supervision: Alec supervises PhD students and teaches in acoustics, aerodynamics, and mechanical engineering. He currently advises Joseph Stephen Paul Binns, focusing on aeroacoustic modeling and optimization. External Roles: Vice-chair of CEAS/ASC (Council of European Aerospace Societies, Aeroacoustics Subcommittee).

Long Wuمشاهده پروفایل

پژوهشگر ارشد

• Aeroacoustics
• Aerodynamics
• High-Order Numerical Methods
• +۱ مورد دیگر

Dr Long Wu is a Senior Research Fellow at the University of Southampton specializing in aeroacoustics and computational fluid dynamics, with research focused on high-order numerical methods and design optimization for noise reduction in aerospace systems including aeroengines and turbomachinery. Holding a PhD and BEng degree, his work centers on computational techniques for simulating and mitigating aircraft engine noise through high-fidelity simulations and adjoint-based optimization of fan and compressor components. Key research areas include boundary closure stability, tone noise propagation, and nonlinear acoustic effects in engine intakes. His 2018-2024 publications demonstrate consistent expertise in computational aeroacoustics, bridging theoretical numerical methods with practical noise control solutions for turbomachinery. Recent work emphasizes stable high-order schemes and optimization frameworks for reducing buzz-saw noise and improving aerodynamic-acoustic performance. As a member of the University's Acoustics Group, Dr Wu supervises PhD student Joseph Stephen Paul Binns on aeroengine noise propagation and accepts new PhD applicants. No scientific awards or research grants are documented in his current profile.

• Aeroacoustics
• Acoustic Liner Optimization
• Noise Propagation
• +۳ مورد دیگر

Dr Paul Murray is a Principal Research Fellow (part-time) in the Faculty of Engineering and Physical Sciences at the University of Southampton. He is affiliated with the Institute of Sound and Vibration Research (ISVR) and the Rolls Royce University Technology Centre in Gas Turbine Noise. Alumni of Queen’s University Belfast (BSc in Physics & Applied Mathematics, 1985) PhD in Atomic Physics from Queen’s University Belfast (1989) Chartered Physicist and member of the Institute of Acoustics Acoustic consultant for Morrisbrand Ltd His research focuses on Aeroacoustics , particularly Acoustic Liner Optimization and Engine Noise Source Generation/Propagation . He works on advanced liner technologies for aero-engine noise reduction, including slanted septum and folded cavity designs. Recent publications highlight his work on optimizing acoustic liners for broadband noise absorption and experimental validation of liner performance under high-pressure and grazing flow conditions. His research spans theoretical modeling, computational analysis, and physical testing. Paul supervises PhD students like Suresh Palani in aeroacoustic projects and contributes to interdisciplinary studies such as the ASyMSmeso system for medical symptom management. His career bridges academic research and 20+ years of aerospace industry experience at BAe Systems, Bombardier Shorts, Boeing, and Alenia Aermacchi. Member of the Acoustics Group Collaborator in the H2020 ARTEM project

Rie Sugimotoمشاهده پروفایل

پژوهشگر ارشد

• Acoustics
• Numerical Acoustics
• Aerospace Engineering
• +۳ مورد دیگر

Dr Rie Sugimoto is a Senior Research Fellow at the Institute of Sound and Vibration Research (ISVR) within the Faculty of Engineering and Physical Sciences at the University of Southampton. She has been with ISVR since 2003, focusing on computational aeroacoustics for aircraft engines. PhD in Numerical Acoustics (Durham University, 2003) MEng/BEng in Architecture and Environmental Planning (Kobe University, Japan) Her research specializes in duct acoustics , with emphasis on fan noise propagation , acoustic liner optimization , and non-linear propagation effects in turbofan engines. She leads tasks in UK ATI-funded FANTASIA and EU Horizon2020 SENECA projects. Recent publications focus on boundary layer effects , flow distortion , and three-dimensional noise modeling using ACTRAN software. Her work bridges computational acoustics and aerospace engineering through collaborations with Rolls-Royce UTC and international teams. She teaches Finite Element Method (FEM) and Boundary Element Method (BEM) for acoustics in postgraduate modules. She has supervised/co-supervised PhD/EngD, MSc, and international students in computational noise studies. Institute of Acoustics (IOA) American Institute of Aeronautics and Astronautics (AIAA) International Institute of Acoustics and Vibration (IIAV) Rolls-Royce University Technology Centre in Propulsion Systems Noise Her career spans roles at Kobe Steel Ltd (Japan), Durham University, Loughborough University, and Southampton, with expertise in boundary element modeling and noise control systems .

Peixin Fanمشاهده پروفایل

استادیار

• Animal Microbiome
• Animal Nutrition
• Probiotics Development
• +۳ مورد دیگر

Peixin Fan is an Assistant Professor affiliated with Mississippi State University's Mississippi Agricultural and Forestry Experiment Station. Their research focuses on the interplay between host genetics, environmental conditions, and the animal microbiome, with particular emphasis on mitigating animal diseases and enhancing production efficiency. Key areas include early prediction of disorders via microbiome profiling, development of next-generation probiotics, and combating antimicrobial resistance. Education: PhD in Animal Sciences (University of Florida), MSc in Animal Nutrition and Feed Science (China Agricultural University), BSc in Animal Science (China Agricultural University). Research explores microbiome-driven solutions for livestock health, including gut-brain axis interactions in equines, rumen microbial dynamics in cattle, and antibiotic resistance transmission pathways between wildlife and livestock. Recent work leverages machine learning for probiotic strain selection and employs nanotechnology for enhanced drug delivery systems. Publications span topics from parasitic resistance in meat goats to microbiome-based interventions for neonatal calf diarrhea. Ongoing projects investigate the genetic basis of microbiota-host interactions and the ecological implications of antimicrobial resistance.

• Turbomachinery
• Centrifugal Compressors
• Low-order Modeling
• +۷ مورد دیگر

Teng Cao is an Assistant Professor in the Department of Mechanical Engineering at Imperial College London, specializing in the Thermofluids Division. He holds a PhD from the University of Cambridge (2015) and has held roles including Research Associate at the Whittle Laboratory, MHI Senior Research Fellow at Girton College, and College Lecturer. His research focuses on turbomachinery, particularly centrifugal compressors, low-order modeling, fan-intake interactions, and pulsating flow effects on turbine performance. His work bridges numerical simulations and experimental methods to enhance energy system efficiency. He has received the Turbomachinery Committee Best Paper Award from ASME for his study on centrifugal compressor tip leakage flow instability. Teaching roles include Module Leader for Heat Transfer, Supervisor for the Mechanical Engineering Individual Project, and Tutor for Thermodynamics modules. His research has industrial applications, contributing design tools used in industry. Collaborations with industries address real-world energy system challenges. His interdisciplinary expertise spans mechanical engineering, aerospace engineering, applied mathematics, and non-equilibrium fluid dynamics. Education: PhD (2015) and MPhil from University of Cambridge, Whittle Laboratory. Research Themes: Turbomachinery aerothermal mechanics, supercritical fluid dynamics, and low-order modeling. Industrial Impact: Tools developed for compressor design and performance analysis.

• Hydraulic Engineering
• Sediment Transport
• Geohazards
• +۳ مورد دیگر

Ass. Prof. Dr. Bernhard Gems is an Adjunct Professor in the Hydraulic Engineering Section at the University of Innsbruck's Faculty of Technical Sciences. His research focuses on hydraulic engineering challenges in mountainous regions, including sediment transport dynamics, landslide dam processes, and numerical modeling of fluvial systems. He specializes in advanced technologies like LiDAR and CFD simulations to study river morphodynamics and geohazard risks. Key research interests include fluvial sediment connectivity, cascading hazards in alpine environments, and the integration of remote sensing data into hydraulic models. His work emphasizes practical applications for flood risk management and infrastructure resilience in mountainous terrains. Notable contributions include studies on UAV-based bathymetry, seepage analysis in landslide dams, and the morphological impacts of sediment-laden flows. His interdisciplinary approach bridges hydraulic engineering with geomatics and environmental science.