Find Academic Supervisors

• Multiphase Flows
• Computational Fluid Dynamics
• Turbulence
• +4 more

Dr. Lina Baroudi is an Associate Professor in Mechanical Engineering at Manhattan University. Her research focuses on multiphase flows, computational fluid dynamics, and turbulence, with applications in nuclear reactor thermal hydraulics and mesoscopic simulation techniques. She holds a Ph.D. from The City College of New York and a B.S. from Damascus University. Education: Ph.D., The City College of New York MPhil, The City College of New York M.S., The City College of New York B.S., Damascus University Her research interests include studying surface-tension-driven flows, particle-laden flows, and developing predictive models using advanced computational methods like Lattice Boltzmann (LB), Molecular Dynamics (MD), and parallel high-performance computing. She has contributed to understanding Taylor-Couette flow dynamics, bubble rising mechanics, and droplet coalescence phenomena. Dr. Baroudi has been awarded prestigious fellowships including the Nuclear Regulatory Commission Graduate Fellowship (2015-2016), MRSEC PREM Fellowship (2011-2015), and NSF Graduate Research Fellowship (2009-2010). Her work bridges fundamental fluid dynamics with industrial and nuclear engineering applications. She teaches courses such as Engineering Mathematics, Applied Heat Transfer, and Finite Element Analysis. Her lab focuses on multiphase flow modeling and high-performance computing, collaborating with ASME, APS, and other professional societies.

• Composite Materials
• Structural Mechanics
• Fracture Mechanics
• +5 more

Dr. Muni Rami Reddy Rasappagari is a casual academic staff member at the University of Southern Queensland (UniSQ) , Australia, within the School of Engineering . He holds a Diploma in Civil Engineering from SV Govt Polytechnic Tirupati, a Bachelor of Technology from Nagarjuna University, a Master of Science in Civil Engineering from Indian Institute of Technology (IIT), and a PhD from the University of Madras . His research spans composite materials , structural mechanics , fracture mechanics , and nanomaterials , with a particular focus on graphene-reinforced composites , functionally graded materials , and delamination modeling . His work integrates finite element analysis , fractal methods , and vibration analysis to address complex structural integrity problems. Dr. Rasappagari's recent publications (2018–2022) emphasize graphene nanoplatelet (GPL) reinforcement in composite plates, exploring free and forced vibration , flexural behavior , and boundary condition effects . Earlier work (2007–2009) centered on fractal finite element methods for crack sensitivity analysis and stress intensity factor computation in anisotropic and multi-crack systems . Contact: 📧 muniramireddy.rasappagari@unisq.edu.au

• Quantum Chemistry
• Uncertainty Quantification
• Numerical Analysis
• +5 more

Virginie Ehrlacher Galland is a Professor at CERMICS (Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique) within École des Ponts ParisTech. Her expertise lies in applied mathematics, numerical analysis, and computational physics, with a focus on multiscale problems, quantum chemistry, and uncertainty quantification. She holds a PhD from CERMICS (2012) and a Habilitation (2020) from Université Paris-Dauphine. Her research interests include cross-diffusion systems, reduced basis methods, and optimal transport applications. Key contributions involve numerical methods for electronic structure calculations, homogenization techniques, and adaptive algorithms. She leads the ERC Starting Grant HighLEAP (2023-2028) and contributes to major projects like the ERC Synergy project EMC². Awards: Irène Joliot-Curie Prize (2023), Chevalier de l’Ordre National du Mérite (2025). Grants/Projects: ERC Starting Grant HighLEAP (PI), ERC Synergy EMC² (Member), ANR JCJC COMODO (PI). Her work bridges theoretical analysis and computational methods, addressing challenges in materials science, fluid dynamics, and machine learning applications.

Thomas J. SantnerView profile

Professor

• Design of Experiments
• Computer Simulations
• Statistical Selection and Screening
• +3 more

Thomas J. Santner is a Professor in the Department of Statistics at Ohio State University. His research focuses on experimental design, particularly in integrating computer simulations with physical experiments. He co-authored influential books including *The Design and Analysis of Computer Experiments* (Springer, 2019) and *The Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons* (Wiley, 1995). His work bridges statistics and engineering, addressing challenges in prosthesis design, biomedical systems, and industrial processes. Notably, he collaborates with the Hospital for Special Surgery on bone-implant systems and biomaterials research. Education: Ph.D., Purdue University, 1973. Research interests include: Computer experiments and hybrid simulation-physical experimentation Statistical selection and screening methodologies Applications in biomedical engineering and manufacturing optimization Uncertainty quantification in finite element models Recent work emphasizes optimizing complex systems through calibrated simulators, with applications in injection molding processes and joint replacement design. His articles demonstrate methodological contributions to design efficiency, sensitivity analysis, and multiobjective optimization. Prior roles include former Director of the Department of Statistics' Consulting Service and former Department Chair at Ohio State University.

Yudhi AriadiView profile

Teaching Professor

• Additive Manufacturing
• 3D Printing
• Mass Customization
• +4 more

Dr. Yudhi Ariadi is a Teaching Professor in Engineering Design at the University of Warwick's School of Engineering. With a background in Mechanical Engineering from Universitas Brawijaya, Indonesia, he holds an MSc from Lancaster University and a PhD from Loughborough University. His career spans industry (ISUZU Astra Motor Indonesia, FUJI Technica Indonesia) and academia, including roles at Coventry University and the University of Birmingham's High Temperature Research Centre. He specializes in Additive Manufacturing (AM), 3D Printing, CAD tools for mass personalization, and engineering design education. Education: Bachelor's in Mechanical Engineering, Universitas Brawijaya, Indonesia MSc in Engineering (Research), Lancaster University PhD in CAD Tools for Public 3D Printing Access, Loughborough University Research focuses on democratizing AM through accessible CAD tools, customization strategies, and AM applications in automotive and biomedical fields. Recent work includes distortion prediction in selective laser melting and ergonomic medical device design. His projects are funded by Rolls-Royce, EU, and the Higher Education Funding Council for England. Teaching emphasizes CAD software (SolidWorks, Siemens NX), design thinking, and AM integration in engineering curricula. He advises on SME innovation through the University of Derby's Institute for Innovation in Sustainable Engineering. Labs/Teams: Part of the High Temperature Research Centre (Birmingham) and collaborates with global automotive brands (Toyota, Ford, Geely) through past industry roles.

Ricardo Ruiz BaierView profile

Professor

• Numerical Analysis
• Scientific Computing
• Finite Element Methods
• +7 more

Ricardo Ruiz Baier is a Professor of Computational Mathematics at Monash University in Melbourne, Australia, where he also holds an ARC Future Fellowship. He is affiliated with the Victorian Heart Institute and the Monash Data Futures Institute, highlighting his interdisciplinary research bridging mathematical theory with biomedical applications. His research focuses on the design and analysis of numerical methods for partial differential equations, particularly those that preserve the physical properties of natural phenomena. His expertise includes fundamental topics in numerical analysis and scientific computing such as analysis of finite volume and finite element methods using mixed and augmented formulations, space-time adaptivity and error estimation, perturbed saddle-point problems, multiphase flow and transport in porous media, cardiac electrophysiology and electromechanics, and interface problems. His recent publications reveal a strong emphasis on virtual element methods, poroelasticity models, and cardiac mechanics applications. His work spans theoretical numerical analysis, computational methods development, and practical biomedical applications, particularly in cardiac modeling. The research demonstrates a consistent focus on multiphysics problems and the development of robust numerical schemes for complex coupled systems. Scientific Awards: ARC Future Fellowship FT22 for 'Next-generation methods for transport in poroelastic media with interfaces' Australian Research Council Discovery Project DP21 for 'Towards predictive 4D computational models for the heart' Ruiz Baier actively supervises a large research group with numerous PhD students and postdoctoral researchers working on diverse aspects of computational mathematics. His group has secured funding from multiple sources including Monash Mathematics, the Australian Research Council, IITB-Monash Doctoral Programme, and international government scholarships. He frequently organizes major conferences and workshops, including the Computational Techniques and Applications Conference (CTAC 2024) and MATRIX workshops on numerical analysis. His research group operates at the intersection of mathematics, computational science, and biomedical engineering, with particular focus on developing computational models for cardiac function and mechanics. The group collaborates with international institutions including the University of Oxford and University of Oslo.

Amirreza KhodadadianView profile

Lecturer

• Uncertainty Quantification
• Numerical Analysis
• Computational Mechanics
• +7 more

Dr. Amirreza Khodadadian is a Lecturer in Mathematics at the School of Computer Science and Mathematics, Keele University, since August 2023. He holds a Ph.D. from the University of Vienna (2017), followed by postdoctoral positions at the Technical University of Vienna and Leibniz University Hannover. His research focuses on uncertainty quantification, numerical methods for stochastic PDEs, finite element methods, computational mechanics, and machine learning applications in nanoelectronics and biological systems. Key research interests include Bayesian inversion, multiscale modeling, reduced-order methods, and the design of nanoscale sensors. He has collaborated with institutions like the University of Oxford and secured an Austrian Science Fund (FWF) grant (476k€) for nanozyme sensor research. Dr. Khodadadian mentors postdoctoral researchers, including Dr. Samaneh Mirsian, and actively publishes in top-tier journals such as Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering . His work bridges applied mathematics with engineering challenges, emphasizing efficient numerical algorithms for real-world problems like battery degradation, groundwater contamination, and biomedical sensor optimization. Recent projects involve machine learning integration for enhanced predictive modeling. Education: Ph.D. in Mathematics, University of Vienna, Austria (2017) Postdoctoral Fellowships: TU Vienna (2018), Leibniz University Hannover (2018–2022) Grants/Awards: Austrian Science Fund (FWF) Grant: Single Atom Catalysts as Nanozymes in FET Sensors (2023) Advising: Postdoctoral Mentor: Dr. Samaneh Mirsian (Keele University) Dr. Khodadadian’s publications span computational mechanics, stochastic modeling, and interdisciplinary applications, reflecting his expertise in translating mathematical theory into practical engineering solutions.

Andres Galvis RodriguezView profile

Senior Lecturer

• Lithium-ion Battery Degradation
• Multiscale Modelling
• Micromechanical Modelling
• +4 more

Andres Galvis Rodriguez is a Senior Lecturer at the School of Electrical and Mechanical Engineering, University of Portsmouth. He specializes in multiscale modelling, lithium-ion battery degradation, and micromechanical analysis of heterogeneous materials. His research involves developing novel mathematical models and computational tools, including the BESLE software for boundary element analysis of heterogeneous materials. He collaborates with Brazilian researchers on advancing thermo-elasticity modules for BESLE. Teaching responsibilities include coordinating modules in Solid Mechanics & Dynamics and Engineering Mathematics. His work focuses on finite element and boundary element methods, with applications to battery systems, composite materials, and bone structures. The BESLE software, co-developed by Dr. Galvis Rodriguez, is a pioneering open-source tool for simulating anisotropic and isotropic materials using parallel computing. Current research emphasizes the mechanical behavior of lithium-ion electrodes via homogenization techniques and fatigue analysis in composite-repaired structures. His contributions bridge computational mechanics and materials science, addressing challenges in energy storage and structural integrity.

Yann BezinView profile

Professor

• Railway Engineering
• Vehicle Dynamics
• Contact Mechanics
• +5 more

Yann Bezin is a Professor in the Department of Engineering at the School of Computing and Engineering, University of Huddersfield, where he serves as Head of Research at the Institute of Railway Research. His academic journey includes an honours degree in Mechanical Engineering from Manchester Metropolitan University and a PhD focused on integrating Flexible Track System Models within vehicle multibody dynamic software. His research spans: Railway dynamics and vehicle-track interaction Wheel-rail contact mechanics and degradation Track system design optimization Multibody simulation methodologies Railway infrastructure innovation Analysis of his recent publications reveals concentrated focus on railway switches and crossings, featuring advanced simulation techniques for dynamic force prediction, infrastructure cost modeling, and material fatigue analysis. His work consistently bridges theoretical mechanics with practical railway engineering challenges. Professor Bezin leads significant projects including CAPACITY4RAIL (EU infrastructure optimization), IN2RAIL (intelligent rail systems), DYNAFREIGHT (long freight train dynamics), and WRIST (rail welding innovations). He supervises PhD candidates and has established the Institute of Railway Research as a hub for railway dynamics expertise.

Marolo AlfaroView profile

Professor

• Geotechnical Engineering
• Geosynthetic Engineering
• Ground Improvement
• +4 more

Dr. Marolo Alfaro is a Professor in the Department of Civil Engineering at the University of Manitoba, Price Faculty of Engineering . He specializes in geosynthetics, ground improvement, cold regions engineering, and climate-resilient infrastructure , with a focus on Arctic and permafrost conditions. Education: BSc (University of Mindanao), MEng (Asian Institute of Technology), PhD (Saga University), Postdoctoral (University of Calgary) Research Interests center on: Geosynthetic-reinforced structures Cold climate infrastructure adaptation Hydro-mechanical interactions in Arctic environments Nano-modified soil stabilization Publication Trends highlight: Numerical and field studies on Arctic embankments Geothermal energy piles in cold climates Rockfill column applications for riverbank stabilization Nanotechnology in soft soil treatment Scientific Awards : 2019 Geosynthetics Award (Canada/International) 2022 Roger J.E. Brown Award (Canadian Geotechnical Society)

Eman OmaireyView profile

Lecturer

• Sustainable Materials
• Asphalt Technology
• Multiphysics Modelling
• +4 more

Dr. Eman Omairey is a Lecturer in Civil Engineering at Teesside University's School of Computing, Engineering and Digital Technologies since June 2022. She serves as Course Leader for the MSc in Civil and Structural Engineering (since January 2023). Her expertise lies in sustainable pavement engineering, particularly multiphysics modelling of construction materials and asphalt ageing mitigation. She holds a PhD in Highway Engineering from Aston University (2021) and has extensive academic experience including roles at Leeds Beckett University, Aston University, and Tishk International University. Eman is a Fellow of the Higher Education Academy (FHEA) and a member of the Institute of Civil Engineers (GMICE). She leads research projects funded by the Newton Fund and Schlumberger Foundation, focusing on waste-derived materials and asphalt rejuvenation. Education: PhD in Highway Engineering, Aston University (2017–2021) MSc in Soil Mechanics and Engineering Foundations (2014) BSc in Civil Engineering (2011) Research Interests: Multiphysics modelling of highway materials Oxidative ageing of asphalt pavements Anti-ageing bitumen modification Recycled waste plastics in bitumen Sustainable construction materials Recent Projects: Waste Biomass Valorization into Asphalt Bio-binders (2024) Maximising the Circularity of Asphalt (2022–2023)

Jiong TangView profile

Professor

• System Dynamics
• Control
• Sensing and Automation
• +7 more

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

Haibin NingView profile

Associate Professor

• High Performance Lightweight Materials
• Thermoplastic Matrix Composites
• Additive Manufacturing
• +4 more

Haibin Ning is an Associate Professor and Undergraduate Program Director in the Department of Materials Engineering at the University of Alabama at Birmingham (UAB). His research focuses on high-performance lightweight composite materials, particularly thermoplastic matrix composites and environmentally friendly natural fiber composites. He has pioneered methods for fiber content measurement, developed advanced manufacturing processes, and holds patents in composite materials innovation. Education: Ph.D. in Materials Engineering from UAB. Research Interests: Dr. Ning’s work spans additive manufacturing of composites, recycled material utilization, and bio-inspired damage-tolerant materials. His studies address mechanical properties, flammability, and environmental impact, with applications in aerospace, automotive, and biomedical fields. Awards & Recognition: ASTM International Professor of The Year (2013) UAB President's Award for Excellence in Teaching (2014) Teaching & Advising: Courses include metallic materials, composite materials, and automotive materials frontiers. While no specific advisees are listed, his research group actively explores industrial and academic collaborations. Labs & Teams: Engages in interdisciplinary projects at UAB’s Center for Composites Manufacturing, focusing on structural composites for mass transit, aerospace, and biomedical applications.

Kevin F. HoffsethView profile

Assistant Professor

• Biomedical Engineering
• Bone Mechanics
• Biomechanics
• +3 more

Dr. Kevin F. Hoffseth is an Assistant Professor in the Department of Biological and Agricultural Engineering at Louisiana State University's College of Engineering. His research focuses on deformation and failure mechanisms in biological materials, bone regeneration quality, and biomedical image processing techniques. Educational background includes a Ph.D. in Mechanical Engineering from UC Santa Barbara. Research interests span biomechanics of bone and biological materials, structural analysis of biomedical systems, and advanced imaging techniques for tissue evaluation. Publications demonstrate expertise in microCT analysis, fracture mechanics of cortical bone, and development of instrumentation for bone quality assessment. Articles reveal consistent focus on orthopedic biomechanics, with significant contributions to understanding bone-material interactions through experimental and computational methods. Research integrates veterinary and human medical applications.

Leonid V. ZhigileiView profile

Professor

• Multiscale Modeling
• Nanomaterials
• Surface Processes
• +5 more

Leonid V. Zhigilei is a Professor of Materials Science and Engineering at the University of Virginia's School of Engineering and Applied Science. He serves as an academic advisor for MSE and is involved in Virginia Engineering Online Program. His research focuses on multiscale modeling of materials behavior, nanomaterials, laser-materials interactions, and surface science. He holds a B.S. from St. Petersburg State Technical University (1987), a Ph.D. from St. Petersburg State University and Tomsk State University (1991), and completed a postdoc at Penn State University (1995-2000). Research interests include computational materials science, catalysis, and nanomanufacturing. His work combines atomistic simulations with experimental insights to explore phenomena like phase explosions, nanoparticle formation, and thermal transport in advanced materials. Key grants include NSF-funded studies on laser-induced phase transitions and nanoparticle processing. Awards: Humboldt Research Award (2021), Fojtik-Henglein Prize (2021), NSF CAREER Award (2004) Courses Taught: MSE 3050, MSE 4592/6270, MSE 6020 Labs/Teams: Computational Materials Group Recent publications (2021–2025) investigate laser-driven material transformations, thermal conductivity in carbon nanotubes, and nanofiber mechanics. His work bridges computational modeling with practical applications in energy-efficient nanoparticle synthesis and advanced manufacturing.