جستجوی استاد راهنمای دانشگاهی

Yamin Zhangمشاهده پروفایل

استادیار

• Bioelectronics
• Bioresorbable Medical Devices
• Electrotherapy
• +۶ مورد دیگر

Dr. Yamin Zhang (张亚敏) holds a Presidential Young Professorship as an Assistant Professor in the Department of Chemical & Biomolecular Engineering at the National University of Singapore (NUS), College of Engineering. She leads the Zhang Group which focuses on interdisciplinary research at the intersection of electrochemistry, materials science, and biomedical engineering. 07/2023 – 01/2024: Research Associate, Northwestern University 02/2021 – 06/2023: Postdoctoral Fellow, Northwestern University 08/2016 – 12/2020: Ph.D., Chemical Engineering, Georgia Institute of Technology 09/2012 – 07/2016: B.S., Chemical Engineering, Tianjin University; B.S., Finance (Double Major), Nankai University Dr. Zhang's research centers on developing advanced electrochemical strategies for next-generation medical devices (implantable, bioresorbable, and wearable) and sustainable energy solutions. Her work bridges bioelectronics , battery technology , and medical therapeutics , with particular emphasis on creating devices that can safely dissolve in the body after serving their purpose. Key areas include bioresorbable optoelectronic systems for electrotherapy, self-powered drug delivery platforms, and eco-safe battery technologies that can harmlessly resorb in biological environments. Analysis of Dr. Zhang's publication record reveals a clear trajectory from fundamental battery chemistry (2021-2022) toward increasingly sophisticated medical applications (2023-2025). Her recent work demonstrates mastery in integrating multiple functionalities into single bioresorbable platforms, as evidenced by her Nature (2025) paper on millimeter-scale optoelectronic systems for electrotherapy and Cell Biomaterials (2025) paper on wireless bioelectronic devices. The research shows strong interdisciplinary collaboration with leading institutions including Northwestern University and Georgia Tech. AHA Early Faculty Independence Award (2023) MIT ChemE Rising Stars (2022) Sigma Xi Best PhD Thesis Award (2021) Chinese Government Award for Outstanding Students Abroad (2021) A*STAR MTC Young Individual Research Grants (YIRG) (2025) Early Career Board Member for ACS Applied Materials & Interfaces (2025) Dr. Zhang has secured significant research funding including the AHA's Second Century Early Faculty Independence Award as Principal Investigator (2023) and the A*STAR MTC Young Individual Research Grant (2025). Her group serves on advisory boards for Cell Biomaterials and ACS Applied Materials & Interfaces. The Zhang Group at NUS maintains active collaborations with Northwestern University researchers including the Rogers group, with whom she has co-authored multiple high-impact publications in Nature, Science, and PNAS. Current research focuses on advancing battery technology and developing sophisticated electrochemical strategies for medical devices with an overarching focus on healthcare innovation and environmental sustainability.

Mario Bergesمشاهده پروفایل

دانشیار

• Smart Infrastructure
• Structural Health Monitoring
• Non-Intrusive Load Monitoring (NILM)
• +۴ مورد دیگر

Mario Berges is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Electrical and Computer Engineering. He holds leadership roles as Co-Director of the IBM Smart Infrastructure Analytics Lab and Director of the Intelligent Infrastructure Research Lab (INFERLab). His work focuses on applying information/communication technologies to enhance the operational efficiency and resilience of built environments amid evolving resource constraints and climate changes. Education: PhD in Civil & Environmental Engineering from CMU (2010). Research Interests: Berges' research integrates smart infrastructure systems, energy efficiency, and machine learning. Key areas include non-intrusive load monitoring (NILM), structural health monitoring of pipelines, building automation systems, and urban heat risk modeling. He develops data-driven frameworks for energy disaggregation, sensor placement optimization, and real-time infrastructure diagnostics. Awards: Recognized with the 2010 FIATECH Outstanding Early Career Researcher Award and 2015 Dean’s Early Career Fellowship from CMU. Grants & Labs: Leads INFERLab, collaborating with IBM on smart infrastructure projects. His work spans academic-industry partnerships focused on building analytics, smart grid technologies, and sensor networks. Future Directions: Expanding research into AI-driven energy systems, resilient urban infrastructure, and cross-disciplinary solutions for climate adaptation.

• Aerospace Composites
• Damage Tolerance Analysis
• Impact Mechanics
• +۳ مورد دیگر

Dr Andrew Rhead is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath, specializing in aerospace composites and damage tolerance analysis. His research focuses on impact damage detection, failure mechanism modeling, and Non-Destructive Evaluation (NDE) techniques for composite structures. MSci in Mathematical Sciences (Dynamical Systems) - University of Bristol (2006) PhD in Composite Damage Tolerance - University of Bath (2009) His work develops computationally efficient analytical models for compression after impact (CAI) strength prediction in composite laminates, surpassing traditional finite element methods. Key projects include hydrogen storage systems for aircraft, cryogenic composite testing, and steered fiber manufacturing optimization. Active in 10 projects including ASPIRE and HyFIVE Collaborates with Airbus, GKN Aerospace, and EPSRC Research trends show emphasis on sustainable aviation materials, structural battery integration, and advanced testing methodologies. Current affiliations include the Institute for Mathematical Innovation (IMI) and Centre for Integrated Materials, Processes & Structures (IMPS).

Desiderio Kovarمشاهده پروفایل

استاد

• Additive Manufacturing
• Materials Science and Engineering
• Ceramic Processing
• +۲ مورد دیگر

Desiderio Kovar is a Professor at the University of Texas at Austin holding the BFGoodrich Professorship in Materials Engineering and the Distinguished Teaching Professor title within the Department of Mechanical Engineering at the Cockrell School of Engineering. He is affiliated with the Texas Materials Institute, the Center for Electromechanics, and is a core member of the Center for Additive Manufacturing and Design Innovation. Dr. Kovar currently serves as the Associate Chair for Academics for the Mechanical Engineering Department. Dr. Kovar's research focuses on the interface between materials science and engineering and additive manufacturing, with particular expertise in ceramic processing. His work encompasses Advanced Design and Manufacturing, Advanced Materials Science and Engineering, and Nano and Micro-scale Engineering. He teaches undergraduate and graduate classes in the Materials Engineering area, having developed the Materials Science and Engineering minor in 2018, the first minor in Engineering at UT Austin. His recent publications (2023-2025) demonstrate a strong focus on ceramic additive manufacturing processes, particularly Selective Laser Flash Sintering and Micro-Cold Spray technologies. These works explore fundamental mechanisms of high-velocity particle impact, sintering kinetics, and process optimization for ceramic film and part production, reflecting his pioneering work in direct ceramic additive manufacturing without polymer binders. Dr. Kovar has received numerous prestigious awards for his teaching and research: Engineering Foundation Young Faculty Excellence Award (2000) Teaching Excellence Award from the Student Engineering Council (2000) Cockrell School of Engineering's Jack and Maxine Zarrow Family K-16 Teaching Innovation Award (2014) Lockheed Martin Aeronautics Company Award for Excellence in Engineering Teaching (2016) Mechanical Engineering Department's Teaching Award (2016) University of Texas' Outstanding Graduate Advisor (2012) Inducted into the University of Texas at Austin's Academy of Distinguished Teachers (2019) Dr. Kovar has supervised 47 undergraduate students, 21 MS theses, and 17 Ph.D. dissertations, and currently supervises 12 graduate students and one undergraduate student. His research has been generously funded by the National Science Foundation, Los Alamos National Laboratory, Sandia National Laboratory, the Army Research Laboratory, the Office of Naval Research, the US Department of Energy, and various corporate sponsors. In 2013, he founded the Cockrell School's Longhorn Maker Studio, which evolved into Texas Inventionworks. Dr. Kovar leads the Kovar Research Group which currently includes multiple graduate students and postdoctoral researchers working across three main research thrusts: Additive Manufacturing of Ceramics by Selective Laser Flash Sintering, Additive Manufacturing of Ceramics by Indirect Selective Laser Sintering, and Direct Writing of Patterned Films and Devices using the Micro-cold Spray Process.

Catherine Pinelمشاهده پروفایل

استاد

• Catalysis
• Green Chemistry
• Biomass Conversion
• +۴ مورد دیگر

Catherine Pinel is a Research Director (DR2) at the Institute for Research on Catalysis and Environment of Lyon (IRCELYON, UMR 5256), a joint research unit of the French National Center for Scientific Research (CNRS) and Claude Bernard University Lyon 1. She has held this senior research position since October 2008, following progression from CR1 (1998-2008) and CR2 (1994-1998) roles at the same institution. Her academic journey includes postdoctoral research at Cambridge University (1992-1993) under Professor S.V. Ley and with Professor M. Lemaire (1993-1994). Her educational foundation includes: Diplôme Universitaire de Technologie in Chemistry from Paris XI University (1986) Engineering Degree from École Nationale Supérieure de Chimie de Paris (1989) Advanced Studies Diploma in Organic Chemistry from Paris VI University (1989) PhD in Organic Chemistry from Paris VI University (1992) on chiral ruthenium complexes and enantioselective reductions Habilitation à diriger des recherches from Lyon I University (1999) on catalysis and fine chemistry Dr. Pinel's research pioneers sustainable catalytic processes with emphasis on biomass valorization, green chemistry, and heterogeneous catalysis. Her work bridges fundamental catalyst design with industrial applications, particularly in hydrogenation, oxidation, and biorefinery processes. Current focus areas include catalytic conversion of biomass-derived platform molecules (glucose, succinic acid, polyols), development of bimetallic catalysts, and valorization of hemicellulose streams. Her approach integrates advanced catalyst characterization with reaction engineering to create environmentally benign chemical transformations. Analysis of her recent publication trajectory (2019-2025) reveals evolving expertise from fundamental organometallic chemistry toward applied sustainable catalysis. Key trends include increasing focus on biomass-derived feedstocks (glucose, succinic acid, polyols), development of metal-carbide/nitride catalysts, and optimization of aqueous-phase reactions for industrial biorefineries. Her work demonstrates strong interdisciplinary collaboration across catalysis, materials science, and green chemistry, with growing emphasis on circular economy principles and renewable chemical production. No scientific awards were explicitly mentioned in the source materials. Dr. Pinel actively contributes to academic training through graduate instruction at University of Lyon (Master 2 'Catalysis and Physical Chemistry' since 2007) and University of Savoie (M2 courses in New Catalysts in Organic Chemistry since 1999 and Coordination Chemistry since 2012). While specific grant details aren't provided, her extensive publication record across high-impact journals indicates sustained research funding. She maintains collaborative networks within IRCELYON and internationally, particularly in biomass conversion and catalyst characterization. As a core researcher at IRCELYON (celebrating 60 years of catalysis research in 2021), she operates within a world-class facility housing specialized equipment for catalyst synthesis, characterization (including in situ techniques), and testing. Her work aligns with the institute's focus on sustainable catalysis for energy transition, air/water depollution, and biomass valorization, contributing to France's strategic research priorities in green chemistry.

• Advanced Manufacturing
• Materials Science
• Mechanical Engineering
• +۷ مورد دیگر

Dr. Ling Yin is an Associate Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide, Faculty of Sciences, Engineering and Technology. She joined the University of Adelaide in 2018 as an Associate Professor in manufacturing and served as Faculty Research Theme Leader in Advanced Manufacturing from 2019 to 2022. Dr. Yin leads multi-institutional projects on advanced manufacturing funded by Defence SA (2024-2025) and the National Health and Medical Research Council (NHMRC) (2025-2028). Dr. Yin's educational background includes B.Sc., M.Sc., and Ph.D. degrees in mechanical engineering from Huazhong University of Science & Technology in Wuhan, China. Her academic career spans five countries across three continents, including positions at Tianjin University in China, Kumamoto University in Japan, Kansas State University in the USA, the Australian National University and James Cook University in Australia, the National Institute of Standards & Technology (NIST) in the USA, and A*STAR Singapore Institute of Manufacturing Technology (SIMTech) in Singapore. Dr. Yin's research focuses on manufacturing and mechanical characterization of advanced materials with applications in optics, semiconductors, mechanical structures, dental restorations, osteoporosis/osteoarthritis studies, and marine/animal sciences. Her work involves extensive collaborations across multiple disciplines. Her recent publications demonstrate expertise in ultrasonic vibration-assisted machining of dental ceramics, particularly zirconia and lithium silicate glass-ceramics, as well as advanced characterization techniques like micro-CT and in-situ SEM testing for understanding material behavior at micro and nano scales. JSPS Invitation Fellowship from the Japan Society for the Promotion of Science Japanese Government Scholarship from the Ministry of Education, Culture, Sports, Science and Technology, Japan Supervisor for a PhD Thesis cum laude with a Medal of Excellence awarded by James Cook University in 2017 Supervisor for a Best Honours Project in Mechanical Engineering at Ingenuity awarded by the University of Adelaide in 2023 Dr. Yin is actively involved in supervising higher degree research students and has available PhD projects in 2025 focused on ultrasonic-vibration assisted manufacturing techniques for dental applications. She has successfully led international academic delegations through the New Colombo Plan to manufacturing facilities in Singapore and Japan. Dr. Yin is a senior member of the North American Manufacturing Research Institution (NAMRI) and the Society of Manufacturing Engineers (SME), and also a member of several professional organizations including ASME, OSA, American Ceramic Society, ASM International, and SPIE.

Jeremy Dahlمشاهده پروفایل

استاد

• Medical Ultrasound Imaging
• Ultrasonic Beamforming
• Image Reconstruction
• +۷ مورد دیگر

Jeremy Dahl is a Professor of Radiology (Pediatric Radiology) at Stanford University School of Medicine. He directs the Ultrasound Imaging & Instrumentation Lab and serves as Director of Research Academic Affairs in the Department of Radiology since 2020. He holds multiple affiliations across Stanford including Bio-X, the Cardiovascular Institute, Wu Tsai Human Performance Alliance, Maternal & Child Health Research Institute, Stanford Cancer Institute, and Wu Tsai Neurosciences Institute. Dr. Dahl received his B.S. in Electrical Engineering from the University of Cincinnati (1999) and Ph.D. in Biomedical Engineering from Duke University (2004). His research focuses on developing ultrasonic beamforming and image reconstruction methods for diagnostic imaging applications, particularly techniques that generate high-quality images in difficult-to-image patients. His laboratory specializes in B-mode and Doppler imaging techniques that utilize additional information from ultrasonic wavefields to improve image quality and develop real-time imaging systems for clinical applications including cardiac, liver, and fetal imaging. Dr. Dahl's research has led to significant advancements in ultrasound molecular imaging platforms, sound speed estimation, aberration correction, and reverberation noise suppression. His work often bridges engineering innovation with clinical applications for cancer detection and other diseases. His recent publications demonstrate strong focus on machine learning applications in ultrasound, distributed aberration correction, and molecular imaging techniques. Fellow, American Institute of Ultrasound in Medicine (2021) Senior Member, Institute of Electrical and Electronics Engineers (2020) Distinguished Investigator Award, The Academy for Radiology & Biomedical Imaging Research (2018) Outstanding Paper Award, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (2011) Dr. Dahl serves in editorial roles for major journals including IEEE Transactions on Medical Imaging (2017-2024) and IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2013-Present). His laboratory has successfully translated numerous innovations into clinical applications, with multiple patents including recent developments in pulsed focused ultrasound therapy and speed of sound quantification.

Bahareh Zaghariمشاهده پروفایل

مدرس

• Electrified Aircraft
• Sensors and Machine Learning
• Electrical Power Systems
• +۴ مورد دیگر

Dr Bahareh Zaghari (MSc, PhD, CEng, FHEA) is a Lecturer in the Electrical Power Engineering group at the University of Southampton's School of Electronics and Computer Science. Her research focuses on electrified aircraft systems, sensors with machine learning applications, electrical power systems, and nonlinear dynamics modeling. Current projects include acoustic sensing for temperature/flow measurement Co-design of electrical machines for aircraft electrification Research activities span hybrid-electric aircraft design (FutPrint50 Horizon project), fully electric aircraft development (EnabEl Innovate UK), and smart sensing systems for aerospace components. Industrial collaborations include KISTLER, iNetic, PALL Aerospace, Safran, ARUP, Embraer, and BAE Systems. Conference coordinator for IEEE Transportation Electrification Council's Electrified Aircraft committee Chair of IEEE/AIAA Electrified Aircraft Technology Symposium (2023) Panel moderator at AIAA Propulsion and Energy (2021) Her work demonstrates innovative applications of acoustic transducers in harsh environments, with contributions to temperature mapping, fault analysis, and energy harvesting systems. She currently supervises PhD student Shikhar Singh.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

Erwin Bieblمشاهده پروفایل

استاد

• High-Frequency Technology
• Automotive Radar Systems
• Microwave Communication
• +۳ مورد دیگر

Prof. Dr.-Ing. Erwin Biebl is a Professor in the Chair of High Frequency Engineering at the Technical University of Munich (TUM). His research focuses on high-frequency technology, automotive radar systems, and microwave communication. He has held academic positions since 1999 and has extensive industry experience at Rohde & Schwarz. His work includes developing sensors and communication systems for automotive safety and environment detection. Education: Studied electrical engineering at TUM, earned his doctorate (1991) and habilitation (1994) in high-frequency engineering. Professional Memberships: Senior Member of IEEE, Member of URSI Commission B, and liaison officer for the Hanns Seidel Foundation. Research Interests: Automotive radar systems, antenna design, millimeter-wave measurements, and sensor technology. His contributions include advancements in synthetic aperture radar and inductive compensation techniques for automotive radomes. Awards: Recognized for his teaching (2002 Lecturer Award) and research, including the Dr. Georg Spinner High Frequency Prize (1992). Supervised teams in competitions such as the 2009 International Collegiate Student Safety Technology Design Competition. Labs/Teams: Leads the Chair of High Frequency Engineering at TUM, focusing on interdisciplinary research in high-frequency systems and automotive applications.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۱۲ مورد دیگر

Professor Hala Zreiqat AM is a leading biomedical engineer at The University of Sydney , serving as the Director of the ARC Training Centre for Innovative BioEngineering . A Fellow of all major Australian academies (AAS, ATSE, FAHMS, FRSN), she develops 3D printed bioceramics for bone regeneration while championing diversity through initiatives like the IDEAL Society and BIOTech Futures mentorship program. Her work bridges academia, clinical practice, and industry in musculoskeletal research . Research Focus: Her lab creates synthetic bone scaffolds that mimic natural bone architecture, strength, and porosity, enabling non-rejected bone regeneration via patient-matched implants. Key applications include orthopaedic, dental, and maxillofacial repair , with over $18M in competitive funding and multiple patents. Current projects explore AI-driven scaffold performance prediction and anti-senescence strategies for aging-related bone loss. Scientific Trends: Recent publications highlight 3D printed nanovoxelated ceramics , antisenescence biomaterials , and multifunctional theranostic platforms . Her team integrates machine learning for scaffold design, atom probe tomography for interface analysis, and two-photon imaging for cellular monitoring in 3D environments. 2021-2022 Fulbright Senior Scholar 2018 NSW Premier's Woman of the Year 2019 Eureka Prize for Innovative Use of Technology Fellow of Australian Academy of Science (2021) Over $18M in research funding Teaching & Leadership: She designed core courses like Tissue Engineering and Nanomaterials in Medicine , mentoring 158 students in 2020 alone. As Chair of CAAR (2020-2023), she strengthens Australia-Arab collaborations. Her lab trains early-career researchers , with alumni now in academia and industry.

• Machine Learning
• Deep Learning
• Signal Processing
• +۹ مورد دیگر

Prof. Dr.-Ing. Ahmad Osman is a Professor at the Saarland University of Applied Sciences (htw saar), specializing in Test Technologies and Test Methods within the Faculty of Engineering. He also holds an Adjunct Professor position at Laval University in Quebec, Canada, in the Department of Electrical Engineering and Computer Science. His research focuses on Artificial Intelligence applications in Signal and Image Processing for Non-destructive Testing (NDT) , with extensive work on Deep Learning , 3D Ultrasound Tomography , and Sensor Data Fusion in industrial contexts. Engineering Artificial Intelligence Signal Processing Image Processing Non-destructive Testing Quality Control Augmented Reality Osman leads the AutomaTiQ research group and serves as Head of the Algorithms/Signal and Data Processing Department at Fraunhofer IZFP . His recent publications (2017–2022) emphasize Deep Learning for defect detection in CFRP , Terahertz Imaging for artwork diagnostics, and Acoustic Sensors for agricultural quality control. He has organized international conferences on Structural Health Monitoring and contributed to Springer books on NDT technologies. His projects include ComforTex-AI (2024) and development of 3D positioners for ultrasound measurements. Collaborations span institutions in Germany, Canada, Italy, and Brazil, with advisory roles in the German Society for NDT and technical committees for conferences in Montreal and Egypt.

Kim Yong-Joeمشاهده پروفایل

دانشیار

• Acoustics and Applied Signal Processing
• Nonlinear Acoustics
• Biomedical Acoustics
• +۲ مورد دیگر

Dr. Kim Yong-Joe is an Associate Professor in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University. He serves as the Director of the Acoustics and Signal Processing Laboratory (ASPL), founded in 2009. His research focuses on acoustics, applied signal processing, nonlinear acoustics, biomedical acoustics, noise and vibration control, and structural dynamics. He has received notable awards including the 2014 Department of Mechanical Engineering Graduate Teaching Award and the 2014 Pioneer Natural Resources Faculty Fellow II. His lab specializes in wave propagation analysis, ultrasonic structural health monitoring, and acoustophoresis in microfluidic systems. He has collaborated with sponsors like the National Science Foundation, Qatar National Research Fund, and Samsung Techwin. His research has led to advancements in noise reduction technologies, biomedical diagnostics, and nondestructive evaluation methods.

• Differential Privacy
• Machine Learning
• Privacy-Preserving Data Analysis
• +۳ مورد دیگر

Daniel Kifer is a Professor in the Computer Science and Engineering department at Pennsylvania State University, with affiliations to the Huck Institutes of the Life Sciences. His work bridges computer science, privacy-preserving machine learning, and geoscience applications. With over 10,000 citations and a high h-index, he focuses on methods to unify theoretical and applied research. Research Interests: Differential Privacy, Privacy-Preserving Machine Learning, Physics-Informed Neural Networks, Landslide Prediction, and Formal Verification of Privacy Systems. Recent projects include grants from the National Science Foundation: SaTC: CORE: Small (2024): privacy-preserving user data embedding in machine learning pipelines. SaTC: CORE: Medium (2017-2023): formal methods for differential privacy and accuracy optimization. His research outputs span domains like geoscience, database systems, and policy analysis, emphasizing precision and scalability of privacy-preserving algorithms.

• Computational Fluid Dynamics
• Internal Combustion Engines
• Cavitation
• +۱۳ مورد دیگر

Professor Manolis Gavaises is a leading academic in the field of mechanical engineering and computational fluid dynamics at City St George's, University of London, where he holds the position of Professor in the School of Engineering and Mathematical Sciences. He earned his PhD from Imperial College London and has been a faculty member since 2001, progressing to full Professor in 2009. His research is centered on advanced modeling of multi-phase flows, cavitation, and fuel injection systems, with extensive collaborations across Europe and industry partners such as Delphi, Caterpillar, and BP. Education: DIC, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 PhD, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 Diploma (5 years), Mechanical Engineering, National Technical University of Athens, 1992 His research interests span computational fluid dynamics, cavitation, fuel injection, atomization, high-pressure and supercritical flows, and alternative fuels . He has developed advanced numerical models and experimental techniques, including X-ray phase contrast imaging and high-pressure test rigs. His work integrates fundamental DNS and LES simulations with industrial applications in automotive, marine, aerospace, and medical devices such as heart valves. The recent publications reflect a strong trend toward real-fluid thermodynamic modeling (e.g., PC-SAFT), multi-component fuel behavior, cavitation erosion, and advanced diagnostics . His research increasingly incorporates machine learning and high-fidelity imaging to understand complex flow phenomena across energy, transportation, and biomedical domains. Scientific Awards and Recognitions: Richard Way Prize (1998) Arch T. Collwell Merit Award (1998) Best Oral Paper, SAE World Congress (2006) PE Publication Award, IMechE (2007) Best Presentation Award, Engine Combustion Processes (2009) Fellow, IMechE (2013) Fellow, IMA (2015) As a dedicated mentor, Professor Gavaises has supervised 13 PhDs to completion and currently guides 23 doctoral students. He has secured over €16 million in EU and UK funding, including multiple Horizon 2020 Marie Skłodowska-Curie ITN projects (CAFÉ, HAOS, IPPAD), which support 46 early-career researchers globally. He has created academic opportunities for post-docs and junior faculty, significantly advancing the research profile of his institution. He leads the International Institute of Cavitation Research (IICR), co-founded in 2011 with partners from Loughborough University, TU Delft, and Imperial College, supported by The Lloyd’s Register Foundation. His lab maintains strong experimental capabilities, including a 2000bar pressure flow rig with micro-transparent nozzles and collaborations with Argonne National Laboratory for X-ray imaging.