Find Academic Supervisors

Hrvoje JasakView profile

Professor

• Computational Fluid Dynamics (CFD)
• Continuum Mechanics
• Numerical Simulation Methods
• +5 more

Hrvoje Jasak is a Professor of Continuum Physics at the Department of Physics (Cavendish Laboratory), University of Cambridge. He holds a fellowship at Christ’s College. His academic journey includes a BSc in Mechanical Engineering from the University of Zagreb (1992) and a PhD in CFD from Imperial College London (1996). Prior to academia, he held engineering roles at CD-adapco (now Siemens PLM), Nabla Ltd, and Ansys-Fluent Inc., contributing to CFD software development. His research focuses on numerical simulation methods, continuum physics, multiphase flows, naval hydrodynamics, and software development. He co-created OpenFOAM, chairs its Numerics Technical Committee, and leads the Computational Continuum Mechanics (CCM) research group within the Laboratory for Scientific Computing. His work integrates advanced numerical techniques like the partially rotating grid method, finite volume algorithms, and multiphysics coupling frameworks. Jasak is a seasoned developer with 25+ years of C++ expertise, having authored ~1 million lines of code. His group’s projects include the Naval Hydro Pack , fluid-structure interaction solvers, and the Eulerian multi-fluid model for dense sprays. He actively collaborates on international initiatives like the NUMAP-FOAM Summer School and the OpenFOAM community. His teaching spans MPhil programs, PhD supervision, and specialized CFD courses. Current research explores wave-ice interaction, lubricated contact modeling, and open-source software innovation. The CCM group’s work bridges academia and industry, addressing challenges in marine engineering, energy systems, and computational mechanics.

Tony ShardlowView profile

Professor

• Stochastic Differential Equations
• Bayesian Inverse Problems
• Statistical Shape Modelling
• +3 more

Professor Tony Shardlow is affiliated with the Department of Mathematical Sciences at the University of Bath , UK. His research spans Stochastic Differential Equations , Bayesian Inverse Problems , Statistical Shape Modelling , and Numerical Analysis , with applications in data science, medical imaging, and computational physics. Labs/Teams : IMI (Institute for Mathematical Innovation), Prob-L@b (Probability Laboratory at Bath), SAMBa (EPSRC Centre for Doctoral Training in Statistical Applied Mathematics). Recent Research Trends : Focus on geometric shape analysis using flow fields, stochastic PDEs for particle dynamics, and Bayesian inference techniques in industrial and medical contexts. Collaborative work bridges computational mathematics with applications in hip dysplasia assessment and pesticide delivery systems. Advising : Supervised Fengpei Wang's PhD thesis on dimension reduction and Sinkhorn algorithms. Collaborates with researchers like N. D. F. Campbell and C. Poon. Teaching : Offers MA30170 - Numerical Solution of Elliptic PDEs.

• Neuroscience
• Neuroengineering
• Epilepsy
• +6 more

Professor Andrew Jackson of Newcastle University is a leading researcher in neuroscience and neuroengineering, focusing on neural interfaces, optogenetics, and epilepsy. His work spans brain-computer interfaces, spinal cord stimulation, and sleep-dependent memory processes. Key research areas: closed-loop optogenetic systems, motor cortex dynamics, cerebellar-neocortical communication, and seizure pathway analysis. Collaborations with experts like Dr. Boubker Zaaimi, Professor Yujiang Wang, and Dr. Wei Xu. Develops implantable low-power platforms for real-time neural monitoring and stimulation. His recent publications highlight advancements in neuroprosthetics for motor recovery post-stroke/spinal injury, cortical chloride homeostasis in epilepsy, and mechanisms of brain self-regulation during movement and sleep. Technologies pioneered include flexible neural electrodes, temperature self-monitoring optoelectronics, and wearable bioelectrical signal systems. His work integrates computational neuroscience with clinical applications in motor disorders and epilepsy.

Jihong WangView profile

Professor

• Power System Modelling and Control
• Energy Storage and Grid Integration
• Energy Efficient Actuators
• +3 more

Professor Jihong Wang is a faculty member at the University of Warwick's School of Engineering, where she has held the position since January 2011. She previously served as a Professor of Control and Electrical Power at the University of Birmingham and held academic roles at the University of Liverpool from 1998 to 2007. As the Head of the Power and Control Systems Research Laboratory, her research focuses on power system modeling and control, energy storage integration, and energy-efficient actuators. Her work has led to over 100 journal publications and several industry collaborations, including a smart voltage controller and a clean pneumatic UPS. She led the EPSRC-funded IMAGES project, developing an open-source software tool for energy storage systems. Professor Wang actively contributes to energy storage initiatives, including co-leading the Supergen Energy Storage Hub and the Joint UK-India Clean Energy Centre (JUICE). Her funded projects span compressed air energy storage (CAES), grid-tied photovoltaic inverters, and net-zero engineering innovation. She advises on energy policy and has pioneered innovations in thermal storage, grid decarbonization, and renewable energy integration. Her research bridges academic rigor and practical applications, addressing critical challenges in sustainable energy systems. Her professional engagement includes roles like Deputy Director of the Supergen Energy Storage Network+ and collaborations with global institutions. Her work emphasizes interdisciplinary approaches to energy challenges, combining control systems, thermal engineering, and policy analysis. Professor Wang’s contributions have been recognized through best paper awards and leadership in major energy storage consortia.

Nikolaos NikiforakisView profile

Professor

• High Performance Computing
• Numerical Algorithms
• Computational Fluid Dynamics
• +4 more

Prof Nikolaos Nikiforakis is a Professor at the University of Cambridge, leading the Laboratory for Scientific Computing at the Cavendish Laboratory. He holds roles including Director for Academic Programmes of the Centre for Scientific Computing, Course Director of the MPhil in Scientific Computing, and Deputy Director of the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science. He is also a Fellow and Director of Studies in Mathematics at Selwyn College, Cambridge. He directs The Gianna Angelopoulos Programme for Science Technology and Innovation. He holds a BSc in Aeronautical Engineering from the University of Manchester, followed by an MSc in Aerospace Propulsion and a PhD in 'Evolution of Detonation Waves' from Cranfield Institute of Technology. His postdoctoral research at the University of Cambridge’s Department of Chemistry focused on computational models for stratospheric ozone depletion. He later founded the Laboratory of Computational Dynamics at the Department of Applied Mathematics and Theoretical Physics before joining the Cavendish Laboratory in 2008. His research focuses on numerical algorithms and High Performance Computing for multi-physics simulations involving complex systems of nonlinear PDEs. Applications span detonation dynamics, plasma physics, and materials science, with industry collaborations for software development. His work addresses multi-scale, multi-physics problems previously deemed intractable, with practical applications in aerospace, energy, and environmental fields. He leads academic programmes in scientific computing and supervises doctoral research through the EPSRC CDT. His contributions bridge fundamental science and industrial innovation, emphasizing computational methods for materials and fluid dynamics.

Carmen Torres-SanchezView profile

Professor

• Multifunctional Materials Manufacturing
• Biomimetics in Engineering
• Porous Materials
• +3 more

Professor Carmen Torres-Sanchez leads the Multifunctional Materials Manufacturing Research Theme at Loughborough University’s Wolfson School of Mechanical and Manufacturing Engineering. As Executive Director of the EPSRC Centre for Doctoral Training in Embedded Intelligence, she integrates advanced manufacturing with biomimetic principles to create novel lightweight materials through mathematical modeling and ultrasound applications. Education: MEng Chemical Engineering (University of Granada), PhD Mechanical Engineering (Heriot-Watt University) Research Focus: Ultrasound-controlled porosity in polymeric foams, computational modeling of acoustic-structure interactions, functionally graded materials manufacturing Collaborations: Prof Mulholland’s team at Strathclyde University, FAR Composites UK Ltd Her work combines Galilean mathematical principles with modern manufacturing to optimize material distribution. Publications in the Journal of Non-Newtonian Fluid Mechanics demonstrate her team’s contributions to porosity tailoring through ultrasonic irradiation. Current research explores applications in regenerative medicine scaffolds and food industry materials. Key Publications: 3D Acoustic-Structure Interaction (2025), Sonication Bubble Modeling (2025), Multiphysics COMSOL Conference Work (2017) Research Tools: Finite Element Analysis, Acoustic Pressure Field Modeling, Bubble Dynamics Simulation

Wenbo DuanView profile

Senior Lecturer

• Ultrasonic Non-Destructive Testing
• Guided Wave Defect Detection
• Finite/Spectral Element Modeling
• +6 more

Wenbo Duan is a Senior Lecturer and MSc Programme Leader in Mechanical Engineering at the University of Hertfordshire. He holds a PhD from the University of Manchester (2010) and previously served at Brunel University London as a Research Fellow, Senior Research Fellow, and Technical Advisor. His research focuses on advanced non-destructive testing techniques, including ultrasonic and guided wave methods, finite/spectral element modeling, and acoustic communication in industrial pipelines. He specializes in numerical simulations of wave propagation in complex media, defect detection, and signal processing innovations. Education: PhD in Mechanical Engineering, University of Manchester (2010) MSc in Engineering BSc (Distinguished) in Engineering Research Interests: Ultrasonic Non-Destructive Testing (NDT) Guided Wave Defect Detection Piezoelectric-Structure Coupling Acoustic Communication in Pipes Multiphysics Spectral Element Modeling Fluid-Structure Interaction Analysis Key Projects (2021–2025): "Noise Cancelling for Powered Air Purifying Respirators" (PI) "Guided Wave Inspection in Fluid-Filled Wells" (PI) "Assessing the Impact of Strain on Temperature Readings" (Co-Investigator) Advisees & Grants: No specific advisees listed. Active in securing research funding for NDT and acoustics-related projects. Labs & Teams: Involved in the Centre for Engineering Research at the University of Hertfordshire, focusing on computational mechanics and industrial applications.

Adrian MurphyView profile

Professor

• Aerospace Engineering
• Structural Design
• Composite Materials
• +4 more

Adrian Murphy is Professor of Aeronautical Engineering and Dean of Research at Queen's University Belfast's School of Mechanical and Aerospace Engineering. He joined the university in 2002 and holds a PhD from Queen's University Belfast, an MSc in Aerospace Vehicle Design from Cranfield University, and a BEng in Aeronautical Engineering. His research focuses on developing predictive models and optimization strategies for complex engineering challenges. Research Interests: Professor Murphy specializes in structural design methodologies, multiphysics simulation techniques, and advanced manufacturing processes. His work integrates computational models with experimental validation across aerospace, automotive and energy sectors. Key focus areas include composite material behavior, aircraft structural integrity, lightning strike protection systems, and interdisciplinary optimization workflows. Professional Leadership: He chairs the Royal Aeronautical Society Structures and Materials Specialist committee and serves on the ESDU Aerospace Structures Committee. His industry collaborations have secured numerous competitive research grants focusing on novel aerospace structures and manufacturing innovation. Awards & Recognition: IMechE Thomas Hawksley Medal (2006) Kenneth Harris James Prize (2006) SAGE Best Paper Award (2012) IMechE/NAFEMS Simulation Award (2023) Academic Supervision: Actively accepts PhD candidates for projects involving experimental and simulation-based research in structural design, optimization, and multiphysics modeling. Manages multiple ongoing research initiatives including Target-H2 fuel cell development and next-generation aerospace certification methods.

• Mechanical Engineering
• Tribology
• Multimodal Sensing
• +5 more

Dr. Min Yu is an Imperial College Research Fellow (ICRF) in the Department of Mechanical Engineering at Imperial College London . He leads an independent research program focused on in-situ multimodal sensing of mechanical interfaces , integrating advanced materials, intelligent control, multiphysics modeling, and data-driven technologies. His work bridges tribology, robotics, and sensing with applications in lubrication systems and robotic haptic interfaces. Education: PhD in Mechanical Engineering, Imperial College London (2014–2018) MSc in Engineering, Zhejiang University (2011–2014) BEng in Engineering, Xi’an Jiaotong University (2007–2011) Research Interests: Dr. Yu’s core research areas include tribology , ultrasonic sensing , robotic haptics , lubrication systems , and data-driven control . He develops novel sensing technologies for real-time monitoring of mechanical interfaces, with applications in engines, bearings, transmissions, and robotic systems. His work emphasizes closed-loop intelligent lubrication and bio-inspired robotic sensing . Publications & Trends: Dr. Yu has authored over 60 peer-reviewed papers and holds 6 patents . His recent work (2024–2025) focuses on ultrasonic-based oil film measurement, triboelectric sensors for robotics, and advanced control systems for automotive suspensions. These publications reflect a strong interdisciplinary approach combining mechanical engineering , AI-driven control , and sensor innovation . Awards & Grants: Imperial College Research Fellowship (ICRF 2022–2026) Royal Society International Exchanges – Cost Share Scheme State Key Laboratory of Fluid Power and Mechatronic Systems Open Foundation Taiho Kogyo Tribology Research Foundation Grant Dame Julia Higgins Engineering Postdoc Collaborative Research Fund (2019) Peter Jost Travel Fund (2022) Collaborations & Labs: Dr. Yu collaborates with multiple groups at Imperial College London including the Tribology Group , Non-Destructive Evaluation (NDE) Group , Control and Power Group , Optical & Semiconductor Devices Group , and Geotechnics Group . He also partners with international institutions such as Georgia Tech , Xi’an Jiaotong University , Zhejiang University , HUST , and Tsinghua University , as well as industry leaders like Shell , ExxonMobil , Toyota , and Jaguar Land Rover .

Igor ChernyavskyView profile

Senior Lecturer

• Applied Mathematics
• Biofluid Dynamics
• Transport Phenomena
• +3 more

Dr. Igor Chernyavsky is a Senior Lecturer in Applied Mathematics at the Department of Mathematics, The University of Manchester. His research focuses on complex living systems, particularly transport phenomena and biofluid dynamics in tissue physiology. He leads projects in continuum mechanics, mathematics in life sciences, and uncertainty quantification. His work contributes to UN Sustainable Development Goals through initiatives like Digital Futures, Christabel Pankhurst Institute, and Henry Royce Institute. Research interests include placental hemodynamics, biomimetic models, and multiscale modeling of biological systems. Key projects involve placental circulation modeling for stillbirth prediction, umbilical cord dynamics, and microfluidic studies of blood flow in porous media. He collaborates on placental imaging, bioreactor engineering, and clinical placentology. Recent publications highlight placental oxygenation, umbilical cord solute transfer, and robust fabrication of PDMS microcapsules mimicking red blood cells. His work bridges experimental and theoretical approaches, emphasizing clinical translation. He supervises PhD students and leads grants totaling £ millions, including Maternal & Fetal Health Research Centre (2018-2035) and ROBUST-BIOPRINT (2023-2025). He actively seeks collaborations in biomaterials, fluid dynamics, and biomedical engineering. Labs/teams: Continuum Mechanics Group, Mathematics in Life Sciences Team, and Uncertainty Quantification & Data Science Group.

• Fluid-Structure Interaction
• Continuum Mechanics
• Numerical Analysis
• +3 more

Matthias Heil is a Professor of Applied Mathematics at The University of Manchester, specializing in Fluid-Structure Interaction, Continuum Mechanics, and Numerical Analysis. His research focuses on fluid dynamics, solid mechanics, and computational methods, with contributions to the OOMPH-LIB software library. He is affiliated with the Continuum Mechanics and Numerical Analysis research groups, and his work aligns with UN Sustainable Development Goals through initiatives like Digital Futures and the Christabel Pankhurst Institute. Education details are available on his personal webpage. Research interests include fluid-structure interaction in physiological systems, elastic-walled channel flows, and microfluidic applications. His recent work explores sedimentation dynamics, wake instabilities, and multiphysics modeling. He has supervised 20 research works and contributed to projects like the Föppl–von Kármán equations for MEMS membranes. Labs/Teams: Continuum Mechanics Group, OOMPH-LIB developers, Fluid-Structure Interaction research cluster.

• Semiconductor Devices
• Silicon Carbide Technology
• Optogenetics
• +3 more

Professor Anthony O'Neill at Newcastle University is a leading researcher in semiconductor device physics, optogenetic neuroprosthetics, and strained silicon engineering. His work spans silicon carbide MOSFETs, graphene fabrication, and implantable neural interfaces, with a focus on improving device performance through material science innovations. Semiconductor Device Physics Optogenetic Neuroprosthetics Strained Silicon Technology Micromachining Processes Advanced Material Characterization His 15 most recent publications (2018-2024) demonstrate expertise in: 4H-SiC MOSFET optimization Nitridation techniques Implantable neuroprosthetic systems Molecular dynamics simulations for silicon processing High-κ dielectrics in microelectronics Flexible electrode arrays

James CampbellView profile

Professor

• Numerical Modelling
• Impact Engineering
• Crashworthiness
• +4 more

Dr James Campbell is a Reader in Structural Integrity at Brunel University London's Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. With a PhD in hypervelocity impact on spacecraft and 20+ years of experience leading multidisciplinary projects, he specializes in non-linear numerical methods (FE and SPH), structural integrity, and impact analysis across aerospace, defense, and automotive sectors. BEng in Aeronautical Engineering, Imperial College London MSc and PhD in Astronautics and Space Engineering, Cranfield University His research focuses on: Transient response of materials/structures (e.g., space debris impact, aircraft crashworthiness) Meshless methods like Smoothed Particle Hydrodynamics (SPH) Constitutive models for isotropic/orthotropic materials Fluid-structure interaction in ditching and extreme wave events Recent work trends include space debris removal tools, composite material development for offshore energy, and advanced SPH algorithms for impact simulations. Awards include the Derek George Astridge Safety in Aerospace Award (2009) and Royal Institute of Naval Architects Medal (2010). He supervises PhD/MSc students and delivers CPD courses for industry (Boeing, Leonardo). Research group: IMM (International Marine and Offshore). Collaborations include Airbus, DLR, and ESA.

S. Jon ChapmanView profile

Professor

• Industrial mathematics
• Mathematical modelling
• Matched asymptotic expansions
• +16 more

Professor S. Jon Chapman is a faculty member at the Mathematical Institute, University of Oxford, holding the position of Professor of Mathematics and its Applications. He is affiliated with the Oxford Centre for Industrial and Applied Mathematics research group. His educational background includes a DPhil, MA, and BA. Research interests span diverse areas of applied mathematics and scientific modeling: Industrial mathematics and mathematical modeling Partial differential equations and asymptotic methods Fluid dynamics and turbulence theory Biophysical applications including tumor growth and tissue modeling Electromagnetic scattering and superconductivity Materials science and energy systems Publication analysis reveals two primary trends: Recent work (2025) focuses on electrochemical systems (battery modeling, gas-induced bulging) and biological applications (organoid models). Earlier influential publications established expertise in pattern formation, fluid dynamics (ship waves, spiral waves), and transport phenomena in biological systems. Mathematical techniques consistently feature multiscale analysis, asymptotic methods, and nonlinear modeling. Awards and honors recognizing scholarly contributions: Naylor Prize (2015) Julian Cole Prize (2002) Whitehead Prize (1998) Richard C. DiPrima Prize (1994) Johnson Mathematical Prize (1992) No information is available regarding student advising, grants, or laboratory affiliations.

Sjoerd van OphemView profile

Lecturer

• Vibro-acoustic analysis
• Model order reduction
• Digital twins
• +3 more

Dr. Sjoerd van Ophem is a Lecturer in Structural Dynamics at the Institute of Sound and Vibration Research (ISVR), University of Southampton. He holds a PhD in Mechanical Engineering from KU Leuven, Belgium, and previously studied at the University of Twente, Netherlands. Mechanical Engineering (BSc, MSc) Noise and Vibration (PhD, KU Leuven) His research focuses on vibro-acoustic digital twins for machine monitoring and noise reduction. Key methodologies include model order reduction, finite element simulations, and digital twin technologies applied to complex acoustic systems. Recent publications emphasize: Time-domain vibro-acoustic simulations Digital twin development Model reduction techniques Acoustic material characterization Moving sound source modeling Experimental modal analysis Scientific awards include: FWO postdoctoral fellowship (junior and senior) MSCA FP7 project ANTARES funding He supervises two PhD students and teaches: ISVR3059: Acoustical Engineering Design FEEG1201: An Introduction to Engineering Design