Find Academic Supervisors

Peter EberhardView profile

Professor

• Multibody Systems
• Mechatronics and Control
• Optimization
• +3 more

Peter Eberhard is a Full Professor (C4/W3) and Director of the Institute of Engineering and Computational Mechanics at the University of Stuttgart, previously known as Institute B of Mechanics until 2005. He leads a research team of ~35 members and has been active in technical dynamics for over 30 years. Born : March 15, 1966, Stuttgart Education : Dipl.-Ing. in Mechanical Engineering (1991), Dr.-Ing. (1996), Dr.-Ing. habil. (2000), all from University of Stuttgart Leadership : Dean of Studies 'Mechatronics' (2002-2006), Coordinator of DFG Priority Programme SPP1897 (2016-present) Research Interests span multiple domains: Multibody Systems: vibrations analysis, model order reduction, damage recognition via machine learning, flexible gear drives, brake systems, delay-differential equations Mechatronics: control systems for maglev trains, predictive driving safety, 6DOF driving simulators Optimization: distributed algorithms, robotics applications, particle swarm methods Robotics: serial/parallel robots, swarm localization, force-controlled manipulators Biomechanics: hearing mechanics, implants/prostheses Meshless Methods: discrete element modeling, fluid-structure interaction Scientific Contributions : Authored/Co-authored 57+ doctoral theses Co-edited Springer book series 'Lecture Notes Applied and Computational Mechanics' Founded SimTech Excellence Cluster (2007) Organized major conferences: IUTAM Symposium (2006), IMSD Conference (2012)

David BommesView profile

Professor

• Computer Graphics
• Geometry Processing
• Mesh Generation
• +4 more

Prof. Dr. David Bommes is a leading researcher in computer graphics and geometry processing, currently a Professor at the University of Bern . His expertise lies in mesh generation, particularly quadrilateral and hexahedral meshing, numerical optimization, and automatic differentiation techniques. His research focuses on developing robust algorithms for generating high-quality meshes from complex geometries, with applications in CAD, architecture, and simulation. He has made significant contributions to the fields of surface and volume parametrization, directional field synthesis, and geometry processing optimization. Prof. Bommes has received notable recognition, including the Best Paper Award (1st place) at SGP 2022 and the Graphics Replicability Stamp for his work on TinyAD, a lightweight automatic differentiation library for geometry processing. His publications span top-tier venues such as SIGGRAPH, Eurographics, and ACM Transactions on Graphics, covering topics from automatic differentiation and geodesic computation to advanced meshing techniques. He actively collaborates with leading institutions and researchers worldwide.

• Fluid Dynamics
• Computational Biomechanics
• Cardiac Electrophysiology
• +2 more

Alessandro Nitti is an Assistant Professor in the Department of Mechanics, Mathematics & Management at Politecnico di Bari, Italy, specializing in Fluid Dynamics (ING-IND/06). His research integrates computational methods and biomechanics to study complex fluid-structure interactions, cardiac electrophysiology, and bio-inspired robotics. Position: Assistant Professor Department: Mechanics, Mathematics & Management Email: alessandro.nitti@poliba.it His research spans Fluid Dynamics (e.g., vortex-induced vibrations, valvular leaflet motion), Cardiac Electromechanics (e.g., myocardial activation, electrophysiology coupling), and Isogeometric Analysis (e.g., thin shell modeling, mixed collocation methods). He also explores Swarm Robotics through collective intelligence models. Recent publications highlight trends in Fluid-Structure Interaction (e.g., energy harvesting, jellyfish locomotion), Biomedical Engineering (e.g., aortic valve turbulence, cardiac muscle simulation), and Computational Methods (e.g., immersed boundary techniques, isogeometric shell models). These works often involve interdisciplinary approaches combining Biomechanics , Electrophysiology , and Multiphysics Simulation .

Hongkai ZhaoView profile

Professor

• Computational and Applied Mathematics
• Numerical Analysis
• Scientific Computing
• +4 more

Hongkai Zhao is the Ruth F. DeVarney Distinguished Professor of Mathematics and Chair of the Department of Mathematics at Duke University's Trinity College of Arts & Sciences. He holds a Ph.D. in Mathematics from UCLA (1996) and has held prior positions including Chancellor's Professor at UC Irvine and Gábor Szegő Assistant Professor at Stanford University. His research focuses on computational and applied mathematics with applications in inverse problems, imaging, PDEs, and scientific computing. Key research areas include numerical methods for wave propagation, radiative transfer, and shape analysis. Zhao has led NSF-funded projects on PDE learning, radiative transfer, and analysis training. He has received prestigious awards including the Feng Kang Prize (2007) and SIAM Fellowship (2022). Teaching includes advanced courses on stochastic processes, numerical linear algebra, and mathematical analysis. His work bridges theory and practice, contributing to medical imaging algorithms, computational physics, and geometric modeling.

• Computational Modelling
• Numerical Methods
• Fracture Mechanics
• +3 more

Daniel Millán serves as Professor of Strength of Materials at the Mechanical Engineering Department, School of Industry-Applied Sciences, National University of Cuyo. He concurrently holds leadership positions as Director of the Institute I CAI CONICET-UNCuyo, Director of the Mechanical Engineering Department, Independent Researcher at CONICET, and Head of the MoCCAI research group. His research spans computational modelling and advanced numerical methods for engineering, with core expertise in: High-order phase-field modeling of fracture mechanics in thin-shells Thin-shell flexoelectric metamaterials Automatic data-driven collective variables identification Multiscale mechanobiological modeling of cerebral arteries Cerebral aneurysm morphometry and rupture risk assessment Ultrasonic analysis for additive manufacturing evaluation Analysis of his 2019-2024 publications reveals dominant themes in cerebral aneurysm biomechanics (using Kirchhoff-Love shell theory for patient-specific modeling) and fracture mechanics in thin structures. His work bridges theoretical numerical methods like phase-field modeling with practical applications in biomedical engineering and material science, particularly in ultrasonic characterization of ice composites. As leader of the MoCCAI research group, he directs computational mechanics initiatives focused on developing advanced numerical techniques for solving complex engineering and biomedical problems through interdisciplinary collaboration.

Jon ShiachView profile

Senior Lecturer

• Computational Fluid Dynamics
• Numerical Analysis
• Coastal Engineering
• +6 more

Dr. Jon Shiach is a Senior Lecturer in Mathematics at the Manchester Metropolitan University , where he has been a member of the Department of Computing and Mathematics since 2005. His academic journey began with a BSc (Hons) in Applicable Mathematics with Business Mathematics (2001), followed by a PhD in Mathematics (2008) focused on Computational Fluid Dynamics. His teaching spans Linear Algebra , Python/MATLAB Programming , Numerical Methods for ODEs/PDEs, and Computer Graphics for game development and digital media. He has held leadership roles such as Programme Leader for BSc Mathematics and department Student Experience Lead. Education: PhD (2008), PGC-AP (2009), BSc (2001) Professional Affiliations: Fellow of the Higher Education Academy (FHEA), Fellow of the Institute of Mathematics and its Applications (FIMA) His research focuses on computational fluid dynamics , particularly finite-volume and meshless methods for solving depth-integrated equations like the Shallow Water Equations and Boussinesq models to simulate wave run-up and overtopping on coastal structures. His recent outreach work includes interactive Python-based demonstrations on fractals , chaos theory , and the mathematics of music , hosted via Jupyter notebooks. Key research outputs include: Development of high-order Godunov-type schemes for Boussinesq equations (2009) Validation of shallow water models for violent wave overtopping (2004) Applications of depth-integrated methods in coastal engineering (2005)

Andreas KarageorghisView profile

Professor

• Numerical Analysis
• Scientific Calculations
• Boundary Element Methods
• +3 more

Andreas Karageorghis is a Professor in the Department of Mathematics and Statistics at the University of Cyprus, affiliated with the School of Natural and Applied Sciences. His research focuses on numerical analysis, scientific computations, and boundary element methods, particularly employing the Method of Fundamental Solutions (MFS). He holds a DPhil from Oxford University, preceded by a BA and MA. His work emphasizes solving complex elliptic boundary value problems, inverse scattering, and geometric reconstruction. Notable contributions include advancements in MFS algorithms for biharmonic equations, axisymmetric systems, and polyharmonic problems. He has also explored hybrid meshless methods and RBF neural networks for nonlinear problems. Key applications span fluid mechanics (e.g., Brinkman equations), elasticity, and acoustic scattering. His research addresses challenges like void detection, shape identification, and steady-state heat conduction. Karageorghis has published extensively in top journals like SIAM and IMA Numerical Analysis, with over 40 years of continuous academic contribution. His methodological innovations include matrix decomposition algorithms, efficient Kansa-type MFS formulations, and non-iterative approaches for inverse problems. Ongoing work includes optimal parameter selection for RBF methods and extending MFS to higher-order PDE systems.

Greg FasshauerView profile

Professor

• Meshfree Approximation Methods
• Radial Basis Functions
• Approximation Theory
• +3 more

Greg Fasshauer is a Professor in the Department of Applied Mathematics and Statistics at the Colorado School of Mines. His research focuses on meshfree approximation methods, radial basis functions, and numerical solutions of partial differential equations. He has authored influential works such as Kernel-based Approximation Methods using MATLAB (2015) and contributed to advancements in approximation theory, spline theory, and computational methods for engineering and biomedical applications. Education: Diplom in Mathematics (1991), University of Stuttgart Staatsexamen in Mathematics and English (1991), University of Stuttgart M.A. in Mathematics (1993), Vanderbilt University Ph.D. in Mathematics (1995), Vanderbilt University Research Interests: Fasshauer’s work emphasizes kernel-based methods, meshfree solvers for electromagnetic and biomedical problems, and high-dimensional function approximation. His contributions include innovative techniques in radial basis functions (RBFs), such as stabilized RBF-FD methods and hybrid kernel approaches, applied to PDEs, M/EEG forward modeling, and energy systems. He also explores theoretical foundations of approximation spaces and convergence properties of numerical schemes. Labs/Teams: His research group develops computational tools for solving complex engineering and scientific problems using meshless methods, with applications in bioelectromagnetics and computational mechanics.

Amine AmmarView profile

Professor

• Multiscale Modeling
• Rheology
• Numerical Simulation
• +4 more

Amine Ammar is a full Professor at Arts et Métiers University , where he serves as Deputy Director of the LAMPA laboratory and Scientific Director of the Doctorate at ENSAM. His academic career spans multiple institutions including Joseph Fourier University of Grenoble and ENS de Cachan. PhD in Mechanical Engineering (ENS de Cachan, 2001) Authorization to Direct Research (University Joseph Fourier, 2006) DEA in Solids & Structures (Paris VI, 1998) Engineering Degree (ENSAM Lille/Paris, 1998) A leading expert in multiscale computational modeling , his research focuses on rheological flows , dimensional reduction techniques , and digital twin technologies for polymer processing and composite materials. He pioneered the application of Proper Generalized Decomposition (PGD) in viscoelastic flow simulations and microstructure modeling. His scientific contributions have been recognized with the ESAFORM 2009 Scientific Award and Jean Mandel Prize . With an H-index of 28 (Scopus), he has supervised key research projects on polymer crystallization and fiber suspension dynamics. Co-author of Springer monograph on Stream-Tube Method (2021) Editor of Publibook on PGD for Materials Modeling (2012) As National Facilitator for Disciplinary Teaching at ENSAM, he has developed innovative courses on computational mechanics and rheology, mentoring students like S. Montésino and E. Prulière in their thesis work on polymer microstructuring.

• Microwave Engineering
• Millimeter-Wave Circuits
• Numerical Methods
• +7 more

Luca Perregrini is a Full Professor at the University of Pavia, specifically within the Department of Industrial and Information Engineering. His academic career is deeply rooted in microwave and millimeter-wave engineering, where he has established himself as a leading expert in numerical methods for circuit design and electromagnetic analysis. As head of the Microwave Laboratory Ric.Stud., he directs significant research efforts in waveguide technologies and their applications. Professor Perregrini's research spans multiple cutting-edge domains in electromagnetic engineering. His primary focus involves numerical methods for designing microwave and millimeter-wave circuits, including waveguide circuits, frequency-selective surfaces, microwave integrated circuits, and antennas. He also investigates new materials and technologies for microwave applications, with particular interest in industrial and medical implementations. His work bridges theoretical electromagnetic analysis with practical engineering solutions, evidenced by his extensive publication record in top-tier journals and conference proceedings. The research demonstrates a clear trajectory toward increasingly sophisticated electromagnetic modeling techniques, with recent work emphasizing meshless methods, substrate integrated waveguide (SIW) technologies, and applications in medical imaging and space systems. Professor Perregrini has made substantial contributions to the field of electromagnetic simulation, particularly through the development and application of the MoM/BI-RME method for analyzing periodic structures and waveguide components. His work has significant practical applications in satellite communications, radar systems, and medical diagnostic technologies. The research group he leads at the University of Pavia maintains strong international collaborations, as evidenced by co-authorships with researchers from institutions across Europe and beyond.

Jianfeng XueView profile

Associate Professor

• Reliability analysis of soil structures
• Behaviour of reinforced soil structure
• Landfill waste behaviour
• +6 more

Associate Professor Jianfeng Xue is a faculty member in the School of Engineering and Technology at the University of New South Wales (UNSW) Canberra. He holds the position of Associate Professor in Geotechnical Engineering and is a Fellow member and Chartered Professional Engineer accredited by the Institution of Engineers Australia. With extensive experience in both academia and industry, Professor Xue previously worked at Coffey Geotechnics (Perth), Tongji University, Monash University, and Federation University Australia before joining UNSW Canberra. Professor Xue completed his PhD at University College Dublin in 2007. His educational background has provided a strong foundation for his research and teaching career in geotechnical engineering. Professor Xue's research spans multiple critical areas in geotechnical engineering with a focus on practical applications. His work addresses fundamental challenges in soil mechanics, foundation engineering, and sustainable infrastructure development. He has made significant contributions to understanding soil-structure interaction, reinforced soil systems, and the behavior of landfill waste materials. His research integrates advanced computational methods with experimental approaches to solve complex geotechnical problems. Recent publications demonstrate his continued leadership in areas such as geogrid-reinforced pavements, sustainable construction materials, and numerical modeling of soil behavior under various loading conditions. Chartered Professional Engineer, Institution of Engineers Australia (2014-present) Fellow, Institution of Engineers Australia (2019) Committee member, Institution of Engineers Australia, ACT Civil/Structural Branch (2017-present) Member, International Society for Soil Mechanics and Geotechnical Engineering Secretary, Australian Geomechanics Society, ACT group (2019) Professor Xue actively supervises PhD students including CHAI Fei (focusing on pile capacity estimation using CPT database), XIAO Li (improving pavement performance with geogrid reinforced asphalt), Ziheng Wang (cyclic behavior of reinforced soils), and others. His research portfolio includes significant grants from the Australian Research Council and industry partners, totaling over $1.5 million in the past five years. His laboratory is well-equipped with modern geotechnical testing facilities including monotonic and cyclic triaxial cells, unsaturated triaxial equipment, and large direct shear boxes. He also has access to advanced computational tools including Abaqus, ANSYS, FLAC, Plaxis, and discrete element modeling software.

• Cryogenics
• Heat and Mass Transfer
• Low Temperature Engineering
• +4 more

Angus Tavner serves as Associate Professor and Head of the Department of Mechanical Engineering within the School of Engineering at The University of Western Australia. His academic profile demonstrates dual expertise in thermal engineering systems and computational biomechanics, with significant contributions to cryogenic research and medical simulation technologies. His research spans cryogenics, heat and mass transfer, and low-temperature engineering alongside pioneering work in computational biomechanics. Tavner's thermal engineering research focuses on low-energy air conditioning systems, while his biomechanics work centers on patient-specific modeling of abdominal aortic aneurysms and brain tissue deformation. He employs advanced finite element analysis and meshless numerical methods to solve complex fluid-structure interaction problems in vascular and neurological systems, bridging engineering principles with clinical applications. Analysis of his 2018-2020 publications reveals a strategic shift toward medical applications of computational mechanics, particularly in vascular biomechanics where he investigates stress-thickness relationships in aneurysms and develops image-based simulation frameworks. His work consistently integrates high-fidelity numerical methods with clinical data to address surgical planning challenges, demonstrating strong interdisciplinary collaboration between engineering and medical researchers. Grants: B223 Low Energy Air Conditioning System (2001), funded by the Alternative Energy Development Board, where he served as Chief Investigator alongside D. Blair. Supervision: Tavner has supervised at least one research project according to institutional records, though specific student details remain undisclosed in available documentation. No scientific awards or honors were documented in the provided institutional profile.

Petros SiderisView profile

Associate Professor

• Resilient Infrastructure
• Sustainable Structural Systems
• Computational Structural Mechanics
• +7 more

Dr. Petros Sideris is an Associate Professor in the Zachry Department of Civil and Environmental Engineering at Texas A&M University . He holds the E.B. Snead '25 Career Development Professorship and leads the Structural Engineering and Mechanics (SEM) Research Group, focusing on seismically resilient and sustainable infrastructure through novel materials and computational methods. Ph.D., University at Buffalo-SUNY (2012) Research Hub: Gulf Resilience Coastlines and People GAANN Program: 3D Printed Construction Research Interests center on resilient infrastructure systems , integrating computational mechanics , experimental testing , and advanced materials like polyurethane and hempcrete. His work addresses aging infrastructure , performance-based engineering , and accelerated construction for seismic regions. 3D Printed Concrete and Hempcrete Hybrid Sliding-Rocking (HSR) Bridge Columns Gradient Inelastic Beam Theory Thermo-Chemo-Hygro-Mechanical Concrete Modeling Scientific Awards include: E.B. Snead '25 Career Development Professorship NSF Grant CMMI 1538585/1748031 NIST Disaster Resilience Research Grant Advising and Grants highlight collaborations with students on seismic retrofit , 3D construction , and hempcrete sustainability . His group has secured funding from NSF, NIST, HUD, and BASF. Notable projects include polyurethane-enhanced bridge columns and large-scale structural testing of 3D-printed buildings.

Peter GieslView profile

Professor

• Dynamical Systems
• Ordinary Differential Equations
• Numerical Analysis
• +4 more

Prof. Peter Giesl is a Professor of Mathematics and Head of the Department of Mathematics at the University of Sussex, part of the School of Mathematical and Physical Sciences. He holds a PhD from the Technical University Munich (2000) and has held academic positions there and at the University of Augsburg before joining Sussex in 2007. His research focuses on Dynamical Systems, including analytical and numerical methods for stability analysis, Lyapunov functions, and contraction metrics. He has collaborated with institutions such as the University of Iceland and the University of Bayreuth, and has organized international conferences like SciCADE 2022. Recognized as a Senior Fellow of the Higher Education Academy, his teaching includes Linear Algebra courses for first-year students. Notable contributions include EPSRC-funded projects on Lyapunov functions and contraction metrics, with publications in journals like Journal of Computational Dynamics and Discrete and Continuous Dynamical Systems . Current PhD advisees include Norah Alsaiari and Jennifer Ward. Research interests emphasize numerical methods for constructing Lyapunov functions using radial basis functions and meshless collocation, with applications to autonomous and non-autonomous systems. Recent work addresses contraction metrics for stochastic, time-periodic, and non-smooth systems, leveraging linear programming and optimization techniques. His grants include EPSRC support for solving matrix-valued differential inequalities (2023–2027) and Icelandic funding for contraction metric computations (2022–2025). Prof. Giesl is also a guest editor for Journal of Computational Dynamics and has held editorial roles in Complexity and Discrete and Continuous Dynamical Systems .

Marianne Gjestvold OmangView profile

Adjunct Professor

• Shock Physics
• Numerical Simulations
• Astrophysics
• +3 more

Marianne Gjestvold Omang is an Adjunct Professor at the Rosseland Centre for Solar Physics, University of Oslo. Her research focuses on shock physics, numerical simulations using Smoothed Particle Hydrodynamics (SPH), and multiphase systems. She holds a Cand. Scient in Astronomy (1994) and a PhD in Astronomy (2005), both from the University of Oslo. Her work emphasizes shock interactions with reactive particles, combustion models, and computational methods for fluid dynamics. Recent publications include studies on shock-induced cloud ignition, low-temperature particle ignition, and cylindrical geometry simulations. She collaborates on projects involving shock tube facilities and particle dynamics, contributing to advancements in SPH methodology and multi-phase flow analysis. Publications span experimental and numerical investigations, with a focus on shock wave phenomena, MHD applications, and algorithmic improvements in computational physics. No scientific awards are explicitly listed, but her extensive contributions to computational astrophysics are notable.