Find Academic Supervisors

• Food Science
• Thermal Processing of Foods
• Inverse Problems and Parameter Estimation
• +3 more

Kirk D. Dolan is a Professor at Michigan State University (MSU), holding joint appointments in the Department of Food Science and Human Nutrition (lead) and the Department of Biosystems & Agricultural Engineering within the College of Agriculture & Natural Resources. His research focuses on thermal processing modeling of foods and inverse problems in food science, utilizing advanced computational tools like MATLAB and COMSOL for parameter estimation. He actively contributes to food safety through extension work, including co-teaching the FDA-mandated Better Process Control School and HACCP courses. PhD, Agricultural Engineering, Michigan State University, 1989 MS, Agricultural Engineering, University of California, Davis, 1985 BS, Agricultural Engineering, University of Florida, 1983 Dolan’s research spans thermal processing technologies (canning, drying, aseptic processing), inverse problem solving, and statistical methods for food researchers. His recent publications emphasize antioxidant analysis, kinetic modeling, and computational approaches in food systems. Recent publications highlight advancements in parameter estimation for food processing, including studies on thermal conductivity in cherry pomace, starch viscosity models, and microbial inactivation dynamics. His work bridges computational methods with practical applications in food safety and quality preservation. 2019 CANR Camden Endowed Teacher/Scholar Award Dolan chairs the triennial Inverse Problems Symposia at MSU and co-teaches graduate courses like BE 835 (Modeling Methods in Biosystems Engineering). His extension work supports Michigan food entrepreneurs through FDA product registration assistance and industry training programs.

• Computational hydroacoustics
• Vibroacoustics
• Flow-induced noise and vibrations
• +10 more

Mahmoud Karimi is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), leading the Vibroacoustics Research Group within the Centre for Audio, Acoustics and Vibration. He holds a PhD in Mechanical Engineering from UNSW with specialization in vibration and acoustics, and has conducted visiting research at University of Cambridge, Technical University of Munich, and INSA Lyon. His research focuses on computational hydroacoustics, vibroacoustics, and uncertainty quantification in noise/vibration problems. Academic Leadership : Editor-in-Chief of Acoustics Australia since 2025 Research Income : Attracted $6M in competitive grants ($2M as Chief Investigator) since 2017 Technical Expertise : Specializes in acoustic black hole structures, flow-induced vibration modeling, and leak detection in buried pipelines Scientific Awards : Recipient of ARC DECRA Fellowship (DE190101412) 2019-2022 Research Trends : His 91+ publications demonstrate expertise in hybrid acoustic modeling techniques, sustainable hempcrete development, and vibration energy harvesting solutions with applications in mining, rail systems, and water infrastructure. International Collaborations: University of Cambridge (UK), Technical University of Munich (Germany), INSA Lyon (France) Teaching Portfolio: Advanced numerical methods, dynamics & control, and computational modeling at UTS

• Fluid Dynamics
• Biomedical Fluid Mechanics
• Microfluidics
• +3 more

Dario De Marinis is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics with applications in biomedical engineering, aerospace, and computational physics. Research Interests Fluid-structure interaction modeling Microfluidics and particle transport Biomedical applications (blood flow, valve mechanics) Aerospace engineering (hypersonic flows, turbulence) Numerical methods (Lattice Boltzmann, immersed boundary) Publications Trend Dario's recent work (2015–2025) spans computational fluid dynamics, with emphasis on multiphase flows, viscoelastic material behavior, and biomedical microfluidic devices. He has contributed to aerospace applications and turbulent thermal flows.

• Scientific Computing
• Numerical Methods
• Computational Cardiology
• +5 more

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.

Anne-Virginie SALSACView profile

Researcher

• Bioengineering
• Biomechanics
• Microfluidics
• +5 more

Anne-Virginie SALSAC is a leading researcher in bioengineering and biomechanics at the University of Technology of Compiègne (UTC), France. She heads the Biomechanics and Bioengineering Laboratory (BMBI, UMR CNRS 7338) and has held an ERC Consolidator Grant (2017) from the European Research Council for her work on multiphysics modeling of microcapsules. Her research focuses on numerical simulation, microfluidics, and bioartificial capsule design for biomedical applications, including hemodynamics in vascular systems and minimally invasive therapies. She has pioneered techniques for microcapsule characterization and sorting, with applications in drug delivery and tissue engineering. SALSAC has collaborated internationally with institutions like Sorbonne Université, University College London, and Queen Mary University of London. Education: Advanced training in bioengineering, with postdoctoral experience in fluid mechanics and biomedical systems. Teaching: Leads graduate courses in mechanical properties of biological materials, microfluidics, and vascular flow modeling at UTC. Previously taught at UC San Diego and University College London. Awards: ERC Consolidator Grant (2017), European scholarship for excellence (2018). Her research integrates experimental and computational methods, emphasizing real-time prediction of capsule deformation and fluid-structure interactions. Key projects include the ERC-funded MultiphysMicroCaps initiative, which explores multiscale modeling of microcapsules under physiological flows. She has developed novel microfluidic tools for capsule sorting and mechanical property analysis, published in top journals like Physical Review E and Journal of Fluids and Structures . SALSAC advocates for scientific mediation, organizing international symposia such as the DynaCaps conference, and has engaged in public outreach via television and media features. Her work bridges fundamental research and clinical applications, with patents on microcapsule fabrication and embolization techniques.

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

Klaus MosthafView profile

Associate Professor

• Contaminant Transport in Porous Media
• Groundwater Contamination
• Numerical Modeling
• +10 more

Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.

• Biomedical Engineering
• Computational Biology
• Cardiovascular Systems
• +3 more

Michael Neidlin is a Senior Researcher in the Department of Cardiovascular Engineering at the Helmholtz-Institute for Biomedical Engineering , RWTH Aachen University. His work focuses on numerical modeling of biological systems for cardiovascular and cardiopulmonary applications. Current Position: Oberingenieur (Senior Engineer), Modeling & Simulation Research Field (2020–present) Past Positions: Postdoctoral Fellow at National Technical University of Athens and Universitat Pompeu Fabra (2017–2020) Education: Dr. rer. medic. (2013–2016) and M.Sc./B.Sc. in Mechanical Engineering (RWTH Aachen) His research spans continuum biomechanics , systems-level modeling , and data-driven approaches to develop translational models for clinical and industrial applications. He specializes in: Multiscale modeling of cardiovascular hemodynamics In-silico evaluation of ventricular assist devices (LVADs) Computational tools for osteoarthritis drug screening Fluid-structure interaction studies in cardiopulmonary bypass

• Nuclear Engineering
• Reactor Design and Safety
• Thermal-Hydraulics
• +3 more

Tomasz Kozlowski is an Associate Professor and Associate Head for Undergraduate Programs at the University of Illinois at Urbana-Champaign's Grainger College of Engineering, Department of Nuclear, Plasma, and Radiological Engineering (NPRE). He holds additional positions as Associate Professor at Poland's National Centre for Nuclear Research (NCBJ) and Affiliated Professor in Computational Science and Engineering at UIUC. His research focuses on multi-physics modeling, reactor design/safety, computational methods, and thermal-hydraulics. He has taught courses like NPRE 200 (Mathematics), NPRE 455 (Neutron Transport), and advanced modeling topics. Education: B.S., M.S., and Ph.D. in Nuclear Engineering from Purdue University (2000–2005), followed by a Docent Habilitation in Nuclear Power Safety from the Royal Institute of Technology (KTH, 2011). He has collaborated on a $2M DOE grant for fuel storage solutions and contributed to UIUC's submission for a micro-reactor license application. His work includes advanced reactor design, uncertainty quantification, and computational tools like TRACE and MCNP-ORIGEN. Research emphasizes reactor analysis methods, numerical solver development, and inverse uncertainty quantification. Over 100 publications span topics like TRISO fuel performance, BWR instability, and hydrogen production integration with microreactors. He serves as Associate Editor for Nuclear Technology and actively engages in international benchmarks (e.g., BEAVRS, OECD/NEA).

Seulip LeeView profile

Assistant Professor

• Scientific Computing
• Numerical Analysis
• Finite Element Methods
• +3 more

Seulip Lee is a Norbert Wiener Assistant Professor in the Department of Mathematics at Tufts University, School of Arts and Sciences. His research focuses on scientific computing, numerical analysis, and computational fluid dynamics, with an emphasis on multiphysics simulations using finite element methods. He holds a PhD in Mathematics from the University of California, Irvine (2021), and degrees from Yonsei University (M.Sc., 2015; B.Sc., 2013). Lee’s work bridges theoretical analysis and computational experimentation, addressing challenges in partial differential equations and optimization. He has published extensively on enriched Galerkin methods and numerical techniques for fluid dynamics. Teaching responsibilities include MATH 51 (Differential Equations) and MATH 125 (Numerical Analysis). His courses emphasize both analytical rigor and computational implementation, using tools like MATLAB for practical problem-solving. Professional experience includes a Limited Term Assistant Professor role at the University of Georgia (2021–2024), with research collaborations under mentors like Xiaozhe Hu and James Adler. His lab and team activities focus on advancing numerical algorithms for complex physical systems.

Caglar OskayView profile

Professor

• Multiscale Computational Modeling
• Composite Materials
• Structural Failure Analysis
• +7 more

Caglar Oskay is the Cornelius Vanderbilt Professor of Engineering and Chair of the Department of Civil and Environmental Engineering at Vanderbilt University. He is also a Professor of Mechanical Engineering. His research focuses on multiscale computational modeling of material and structural systems under extreme conditions, with expertise in composite materials, failure mechanisms, and computational mechanics. Dr. Oskay earned his Ph.D. in Civil Engineering from Rensselaer Polytechnic Institute (2003) and has held academic roles there before joining Vanderbilt in 2006. He was honored as an ASME Fellow in 2017 and as a Chancellor Faculty Fellow in 2016. Key research areas include multiscale failure modeling, life prediction of heterogeneous materials, and computational methods for composites and multiphysics systems. His work integrates advanced simulation techniques with experimental validation, addressing challenges in infrastructure resilience, additive manufacturing defects, and quantum computing applications in engineering. Education: Ph.D., Civil Engineering, Rensselaer Polytechnic Institute (2003) M.S., Civil Engineering, Rensselaer Polytechnic Institute M.S., Applied Mathematics, Rensselaer Polytechnic Institute B.S., Civil Engineering, Middle East Technical University Recent research highlights include stochastic modeling of geotechnical infrastructure failures, quantum-enhanced finite element methods, and predictive analytics for additive manufacturing defects. He leads interdisciplinary efforts on backward erosion piping in flood protection systems and has secured grants for multiscale modeling of titanium alloys and composites. Awards: ASME Fellow (2017) Chancellor Faculty Fellow (2016) Advising and grants: Dr. Oskay’s grants include NSF-funded studies on backward erosion piping and quantum computing applications. His research group collaborates with industry partners on materials for aerospace and energy sectors, emphasizing computational tools for failure prediction and material design. His work bridges computational mechanics with practical engineering challenges, advancing methods for infrastructure resilience, advanced materials, and sustainable design through multiscale modeling innovations.

Bojan PopovView profile

Professor

• Numerical Analysis
• Partial Differential Equations
• Approximation Theory
• +3 more

Bojan Popov is a Professor in the Department of Mathematics at Texas A&M University, part of the College of Arts & Sciences. His research focuses on numerical analysis, nonlinear partial differential equations, and approximation theory, with a particular emphasis on invariant domain preserving schemes and hyperbolic conservation laws. He holds a Ph.D. from the University of South Carolina (1999) and an M.S. from the University of Sofia (1992). Popov has led or co-led numerous grants from agencies like NSF, DOD, and DOE, totaling over $30 million. He has advised four Ph.D. students and organized major conferences, including the 2007 'Approximation and Learning in High Dimensions' and the 2008 'Nonlinear Approximation Techniques Using L1'. His work bridges numerical methods with applications in fluid dynamics, materials science, and high-performance computing. Recent research includes invariant domain preserving techniques for hyperbolic systems, entropy viscosity methods, and robust finite element approximations. He teaches advanced courses such as Hyperbolic Conservation Laws (Math 638) and Linear Algebra (Math 304).

• Aeroacoustics
• Computational Fluid Dynamics (CFD)
• Fluid Dynamics
• +6 more

Renzo Arina is a Tenured Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin . His academic career spans decades of contributions to Aeroacoustics and Computational Fluid Dynamics (CFD) . Research Interests : Numerical simulation of flow-induced noise Drag reduction techniques for vehicle optimization Computational methods for aeroacoustic modeling Boundary layer dynamics and separation control Research Projects : Erasmus Mundus Master in Aeroacoustics (2024–2025): Member of research group Aerodynamic Optimization of Vehicles (2016): Scientific Director for industrial efficiency Detailed Numerical Modeling of Airborne Sound Field (2013–2016): EU-funded research Discontinuous Galerkin Method for Aeroacoustics (2010–2012): National PRIN project Advising : Supervises PhD candidates Daniele Fabbri (Mechanical Engineering, 2023–ongoing) and Francesco Bellelli (Aerospace Engineering, 2022–ongoing) Labs & Teams : Member of the Boundary Layer Flow, Separation and Control research group at DIMEAS

• Coastal Engineering
• Numerical Modeling
• Nature-Based Solutions
• +4 more

Tomohiro Suzuki is an Associate Professor at KU Leuven and Ghent University (UGent) , affiliated with the Department of Civil Engineering under the Faculty of Engineering Science (KU Leuven) and Faculty of Engineering and Architecture (UGent) . With 25 years of expertise in coastal engineering, he specializes in wave overtopping , wave-structure interactions , and Nature-Based Solutions for coastal management. Key research areas: Numerical Modeling (DualSPHysics, SWASH), Wave-Current-Vegetation Interaction , Coastal Flood Resilience Teaching roles: Project Hydraulic Engineering 3 , Hydraulic Structures , Hydrodynamics His recent projects include: INTEGRATOR (2024–2026): Integrated coastal hydrodynamics modeling Numerical Coastal Basin (2021–2025): Virtual testing for floating structures Wind Generation System (2025–2028): Fan Array Wind Tunnel for Coastal & Ocean Basin Publications focus on 3D wave-vegetation dynamics , SPH-based coastal simulations , and shallow foreshore resilience against extreme waves. No scientific awards are explicitly mentioned.

Aleksandr ZinovievView profile

Research Fellow

• Additive manufacturing
• Metal 3D printing
• Materials science
• +6 more

Aleksandr Zinoviev is a Senior Research Associate at the School of Engineering and Information Technology (SEIT) at UNSW Canberra, where he has been working since 2022. His research spans multiple institutions across the globe, including previous positions at Siemens Digital Industries Software in Belgium, University of Bremen and AMSIS GmbH in Germany, and Institute of Strength Physics and Materials Science of the Russian Academy of Sciences and Tomsk Polytechnic University in Russia. He has also conducted research stays at the University of Bremen (Germany) and São Paulo State University (Brazil). Dr. Zinoviev's research interests are highly interdisciplinary, focusing on metal additive manufacturing, thermodynamics of materials, computational materials science, solid mechanics, software engineering, and machine learning. He specializes in developing and applying novel knowledge-based approaches to address engineering challenges, particularly in improving materials and parts produced by advanced manufacturing, optimizing production processes, and enhancing data processing. His work bridges the gap between fundamental materials science and practical engineering applications, with a strong emphasis on computational modeling and simulation. Analysis of his recent publications (2021-2025) reveals a consistent focus on additive manufacturing process modeling, microstructure-property relationships in additively manufactured metals, and computational approaches to materials science. His research particularly emphasizes cellular automata modeling, multiscale simulation techniques, and the application of machine learning to materials processing. The publications demonstrate expertise in both experimental characterization and advanced computational methods for predicting mechanical behavior of additively manufactured components. Dr. Zinoviev actively mentors prospective PhD and Research Master's candidates, offering guidance on topics related to thermal modeling of additive manufacturing and process optimization. He has indicated that scholarships of up to $35,000 (AUD) are available for qualified candidates who achieved High Distinction in their undergraduate program and/or have completed a Masters by Research.