Find Academic Supervisors

• Mechanical Engineering
• Thermal Systems
• Nonlinear Dynamics
• +4 more

Abdraouf Abusoua is an Associate Lecturer at the University of Central Florida (UCF). He holds a BEng in Mechanical and Industrial Engineering from Tripoli University (1999), an MEng from Clemson University (2011), and a PhD in Mechanical Engineering from Clemson (2018). His research focuses on nonlinear dynamics, thermochemical energy storage, and advanced computational methods like the lattice Boltzmann method. Key interests include high-temperature energy systems, granular flow dynamics, and material microstructure modeling. Abusoua's work spans experimental and computational studies in vibration and nonlinear systems, with recent emphasis on designing efficient energy storage technologies. His publications address topics such as vibrational resonance in mechanical oscillators, heat transfer in porous media, and optimization of reactor-heat exchanger systems for high-temperature applications. He has contributed to solar thermochemical systems, additive manufacturing of lattice structures, and machine learning approaches for materials science. His research also involves fluid-solid interactions, brush seal mechanics, and conjugate heat transfer modeling. Abusoua collaborates with organizations like the American Society of Mechanical Engineers and SPIE, focusing on applications in aerospace, mechanical, and civil engineering. While no formal awards or grants are listed, his extensive publication record reflects sustained engagement with cutting-edge energy and materials research.

• CMOS Analog Integrated Circuits
• Fractional-Order Circuits and Systems
• Analog Signal Processing
• +3 more

Professor Psychalinos Konstantinos holds a prestigious position at the Department of Physics, University of Patras, within the Electronics Laboratory. He has served as Professor since 2014, following roles as Assistant Professor at Aristotle University of Thessaloniki (2000–2004) and Lecturer at the University of Patras (1996–2000). His expertise lies in analog integrated circuits, fractional-order systems, and VLSI design. He is Chair of the Department of Physics and leads the IEEE Greece Section Circuits and Systems/Solid-State Circuits Chapter. His research emphasizes novel filter designs, fractional calculus applications, and oscillator development. Education: Bachelor's in Physics (University of Patras, 1982) PhD in Electronics (University of Patras, 1991) Research Interests: His work focuses on CMOS analog circuits, fractional-order filters, power-law systems, and nonlinear resonance networks. He explores applications in biomedical engineering, mechatronics, and energy-efficient electronics. Publications & Editorial Roles: Editor-in-Chief of the Circuit and Signal Processing Section of the MDPI Electronics Journal, Area Editor of the International Journal of Electronics and Communications (AEU), and member of multiple editorial boards including Nature Scientific Reports. Over 200 peer-reviewed articles highlight his contributions to fractional-order systems and circuit design. Awards: Top 2% global researcher in Electrical & Electronic Engineering (Stanford, 2020–) Academic Leadership: Leads interdisciplinary projects on fractional-order controllers and bio-inspired circuits. Active in FPAA-based prototyping and low-power analog design.

Matteo CiantiaView profile

Senior Lecturer

• Offshore Geotechnical Engineering
• Computational Geomechanics
• Geohazard Mitigation
• +3 more

Matteo Ciantia is a Senior Lecturer in Civil Engineering at the University of Dundee, specializing in Soil Mechanics and Geotechnical Engineering. He holds a PhD from Politecnico di Milano (2013) and has held postdoctoral positions at UPC Barcelona and Imperial College London. His research focuses on offshore geotechnics, computational geomechanics, and granular material behavior, supported by over £1.1M in grants. He serves on editorial boards for Géotechnique and Proceedings of the ICE Geotechnical Engineering , and chairs ISSMGE Technical Committees TC105 and TC211. Research interests include discrete element analysis, soft rock mechanics, and geohazard mitigation. Notable awards include the ISSMGE Bright Spark Award (2019) and IACMAG Promising Investigator Nomination (2021). He teaches modules on computational mechanics, geotechnical design, and advanced soil mechanics. Current projects explore offshore renewable energy foundations, rock anchoring systems, and granular material failure mechanisms. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure and climate resilience. Collaborations include institutions like Imperial College London and international conferences such as Engineering in Chalk 2018.

Yaseen SharifView profile

Researcher

• Geotechnical Engineering
• Offshore Renewable Energy
• Screw Pile Foundations
• +4 more

Yaseen Sharif is a Researcher in the Department of Civil Engineering at the University of Dundee, specializing in geotechnical engineering for offshore renewable energy systems. His work focuses on screw pile foundations, centrifuge modeling, and numerical simulation techniques like the Discrete Element Method (DEM). He contributes to UN Sustainable Development Goal 7 (Affordable and Clean Energy) through innovations in offshore wind energy infrastructure. Key research interests include screw pile installation mechanics, helix interaction dynamics, and soil-structure interaction in marine environments. His recent work explores installation advancement ratios, cyclic load responses, and silent piling technologies to reduce environmental impacts. Recipient of the Institution of Civil Engineers Telford Gold Medal 2024 Finalist for the 2025 Scottish Knowledge Exchange Awards Winner of the 2023 International Marine Contractors Association Sustainability Award His research has produced over 37 publications and two significant datasets, including centrifuge experiments on screw pile performance. Collaborations involve institutions like NGI Norway and industry partners for offshore wind solutions.

Scott RobinsonView profile

Lecturer

• Geotechnical Engineering
• Offshore Wind Foundations
• Physical Modeling
• +6 more

Scott Robinson is a Lecturer (Teaching and Scholarship) in Civil Engineering at the University of Dundee, focusing on geotechnical engineering and offshore wind foundation technologies. His work bridges physical and numerical modeling, addressing challenges in sustainable energy development. Key Research Themes: Centrifuge modeling, screw piles, silent piling, cable ploughing, finite element analysis, and material point method. Scientific Awards: Canadian Geotechnical Journal - Editor's Choice Award 2021 Dr Angus A Fulton Prize for Best Civil Engineering PhD Thesis 2019 Institution of Civil Engineers Dundee Area Branch Papers Competition Winner 2010 British Geotechnical Association Fleming Award 2023 Recent Activities: Organizer, Dundee STEM Expo (2025) Invited speaker at ICE International Webinar (2025) Visiting researcher at University of Milan - Bicocca (2020-2021)

Scott MacLachlanView profile

Professor

• Computational Applied Mathematics
• Scientific Computation
• Multigrid Methods
• +3 more

Scott MacLachlan is a Professor of Mathematics at Memorial University of Newfoundland. He holds a B.Sc. (Hon.) from the University of British Columbia and a Ph.D. in Applied Mathematics from the University of Colorado at Boulder. Previously, he served as Associate Professor at Tufts University. His research focuses on computational applied mathematics and scientific computation, particularly multigrid methods, finite-element discretizations, and numerical linear algebra. He is an associate editor for the SIAM Journal on Scientific Computing and SIAM Journal on Matrix Analysis and Applications, and co-chairs the program committee for the Copper Mountain Conference on Multigrid Methods. Education: B.Sc. (Hon.) in Mathematics and Computer Science (UBC, 2000), Ph.D. in Applied Mathematics (CU Boulder, 2004). Postdoctoral work at University of Colorado, University of Minnesota, and Delft University of Technology. Research interests include multiscale numerical analysis, PDE-based models in fluid/solid mechanics, and algorithm development for scientific computing. His work integrates functional analysis, numerical linear algebra, and physical modeling. He develops open-source software such as XBraid for parallel time integration and adaptive AMG codes. Publications span multigrid methods, domain decomposition, and liquid crystal simulations. He collaborates on projects involving thermal slip, magnetohydrodynamics, and geophysical electromagnetics. Teaching includes courses on numerical methods for PDEs at both Memorial University and Tufts. Professional activities include editorial roles, conference organization, and contributions to international workshops on multiscale modeling. His software tools and algorithmic innovations address challenges in parallel computing and large-scale simulations.

Oleg IlievView profile

Professor

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +5 more

Prof. Dr. Oleg Iliev is a leading researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on computational fluid dynamics, numerical simulation of multiphase flows, and porous media processes. He specializes in developing advanced algorithms for CFD, reactive transport modeling, and multiscale methods. His research integrates computational methods with engineering applications such as filter design, battery technology, and environmental systems. Key research interests include: Porous media flow simulation CFD-DEM coupled systems Reactive transport in heterogeneous media High-performance computing and parallel algorithms His publications (2016–2022) highlight contributions to: Pore-scale modeling of filtration and catalytic processes Machine learning integration with numerical PDE solvers Uncertainty quantification in subsurface flows GPU-accelerated stochastic simulations Prof. Iliev collaborates with industry and academia on projects involving Li-ion batteries, filter efficiency optimization, and exascale computing frameworks like EXA-DUNE.

Axel KlarView profile

Professor

• Kinetic Theory
• Traffic Flow Modeling
• Pedestrian Dynamics
• +6 more

Prof. Axel Klar is a Professor in the Department of Technomathematics at the Rheinland-Palatinate University of Applied Sciences (RPTU) Kaiserslautern-Landau. His research focuses on mathematical modeling of complex systems, with a strong emphasis on kinetic theory, fluid dynamics, and applied analysis. Key areas of expertise include traffic flow dynamics, fiber dynamics in industrial processes, pedestrian movement patterns, and biological systems such as cell motion and tumor growth. He develops and analyzes numerical methods for partial differential equations and stochastic systems, often addressing challenges in technical textile production, non-equilibrium thermodynamics, and multi-physics simulations. His work bridges microscopic particle-based models with macroscopic continuum descriptions, emphasizing asymptotic methods and domain decomposition techniques. Notable contributions include stochastic fiber lay-down models for nonwoven manufacturing, mesh-free particle methods for granular and rarefied gas flows, and kinetic-based traffic models with applications to autonomous vehicles and crowd control. Current research explores data-driven approaches for coupled systems in socio-economic and biomedical contexts. Prof. Klar’s interdisciplinary projects involve collaborations with industry partners (e.g., in textile engineering) and academic institutions globally. His team develops open-source numerical toolkits for applications ranging from radiation therapy optimization to climate-resilient infrastructure design. Recent efforts focus on AI-driven parameter estimation for high-dimensional PDE systems and uncertainty quantification in multi-scale modeling.

Prashant GoswamiView profile

Associate Professor

• Computer Graphics
• Virtual Reality
• Artificial Intelligence
• +7 more

Dr. Prashant Goswami is an Associate Professor in the Department of Computer Science at Blekinge Institute of Technology (BTH), Sweden, within the Faculty of Computing. He also serves as Adjunct Faculty in the CSE Department at IIIT Delhi, India. B.Tech/M.Tech (IIT Delhi) PhD in Computer Graphics (University of Zurich) His research focuses on Computer Graphics , Virtual Reality , AI Integration , and Real-Time Simulations , with recent work bridging Immersive Analytics and Human-Centered Intelligent Systems . He has contributed to snow/ice animation, foveated rendering, and XR ethics. Recent publications highlight trends in GPU-Based Simulation , GAN-Driven Cloud Animation , and AI-Enriched XR Systems . As Guest Editor for the Journal of Imaging (MDPI), he is advancing immersive metaverse experiences. Previously, he worked at gameLab (NTU Singapore) and INRIA's MAVERICK group, focusing on geometric modeling and cloud simulation. His industry experience preceded his PhD at University of Zurich.

• Rock Mechanics
• Geotechnical Engineering
• Wildfire Impact on Soils
• +3 more

Ignacio Pérez Rey is a Postdoctoral Researcher at the University of Alicante's Department of Natural Resources and Environmental Engineering. His work focuses on rock mechanics, geotechnical stability analysis, and wildfire impacts on soil properties, combining experimental, numerical, and analytical methodologies. ORCID: 0000-0003-0883-7211 Scopus Author ID: 56178650200 University: University of Alicante Department: Natural Resources and Environmental Engineering Research interests include: Rock mechanics (frictional behavior, toppling stability, size effects) Geotechnical engineering (slope stability, tunneling in heterogeneous rocks) Wildfire-induced geotechnical changes in volcanic soils Machine learning applications for rock strength prediction Historical mining techniques and modern geomechanical analysis Interactive geological education methods Recent publications demonstrate a strong focus on: Failure mechanisms in dry masonry and rock structures Machine learning integration in geotechnical characterization Post-fire slope stability assessment Experimental validation of rock friction models 3D modeling of geological features Interactive teaching methodologies in civil engineering

Farhad Ein-MozaffariView profile

Professor

• Fluid Mixing
• Computational Fluid Dynamics
• Multiphase Flow
• +2 more

Dr. Farhad Ein-Mozaffari is a Professor in Chemical Engineering at Toronto Metropolitan University. His research specializes in fluid mixing dynamics, particularly non-Newtonian and multiphase systems relevant to pharmaceutical and bioprocessing industries. Research integrates experimental methods like tomography and ultrasonic velocimetry with computational fluid dynamics (CFD) and machine learning to optimize industrial mixing processes. His work advances bioreactor design, powder blending, and energy-efficient processing through fundamental studies of fluid-particle interactions. Ein-Mozaffari's lab focuses on solving practical industrial challenges through multidisciplinary approaches. Current projects include gas-liquid dispersion in yield-stress fluids, cohesive particle mixing optimization, and scale-up strategies for aerated bioreactors. His research has attracted NSERC funding and pharmaceutical industry partnerships, aiming to reduce production costs for essential materials including pharmaceuticals.

Ana N. VuckovicView profile

Associate Professor

• Electromagnetism
• Computational Electromagnetics
• Applied Mathematics
• +3 more

Ana N. Vuckovic is an Associate Professor at the Department of Theoretical Electrical Engineering, Faculty of Electronics in Niš, University of Niš. She holds a PhD (2015) and Master's degree (2008) from the same institution, with a BEng in Computing and Informatics (2003). Her academic career includes promotion to Assistant Professor in 2004 and Associate Professor in 2022. Her research focuses on computational electromagnetics, with emphasis on magnetic force calculations using hybrid boundary element methods (H-BEM). Key areas include permanent magnet systems, magnetic bearings, and bi-isotropic media analysis. She has contributed 8 peer-reviewed articles and participates in 1 national and 1 international research project. Professional activities include two international study stays and proficiency in English/French. Her work bridges theoretical electromagnetism with practical engineering applications, particularly in improving numerical simulation techniques for electromagnetic systems.

Nadia KouraytemView profile

Assistant Professor

• Metal Additive Manufacturing
• 3D Printing
• Material Characterization
• +3 more

Dr. Nadia Kouraytem is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University, where she directs the METAL 3D Structures Lab. Her research focuses on characterizing process-structure-property relationships in laser-based metal additive manufacturing using advanced experimental techniques and in-situ measurements. She collaborates with national laboratories and industry partners to advance applications in aerospace, defense, and renewable energy sectors. Education PhD in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST, 2016), MS in Mechanical Engineering (KAUST, 2013), and BS in Mechanical Engineering from American University of Beirut (2011). Research Interests Her work encompasses metal additive manufacturing (3D printing), multi-scale material characterization, process optimization for structural applications, and the development of physics-driven and data-driven models to predict material behavior under extreme conditions. She employs techniques ranging from in-situ X-ray imaging to mechanical testing across temperature and strain-rate regimes. Publication Focus Her 15 most recent articles (2016–2025) predominantly explore additive manufacturing defects, process parameter optimization, material behavior under dynamic loading, and innovative characterization methods. Trends include laser powder bed fusion, multi-material systems, and computational modeling approaches bridging microstructural features to macroscopic properties. Awards and Honors Undergraduate Research Mentor of the Year, MAE Department, USU Recognition as a woman leader in Utah's advanced manufacturing industry (UAMMI) Grants and Advising She secured a $800,000 NEUP grant to study mechanical variability in additively manufactured metals and collaborates on a DOE-SETO project analyzing creep-fatigue interactions for renewable energy applications. Currently advises five graduate students on topics including functionally graded materials and recuperator design for concentrated solar power. Laboratory Leadership The METAL 3D Structures Lab utilizes in-situ process monitoring, microstructural characterization, and multi-scale mechanical testing to evaluate additive manufacturing outcomes. Current projects involve collaborations with Argonne National Laboratory and industry partners to qualify materials for high-temperature applications.

• Topological Data Analysis
• Scientific Visualization
• Computational Geometry
• +3 more

Joshua A. Levine is a researcher in the Department of Computer Science at the University of Arizona, focusing on topological data analysis, scientific visualization, and computational geometry. His work bridges computer graphics, data science, and mathematical methods. Key Research Areas: Topological data analysis, visualization of scientific simulations, mesh processing algorithms, and computational methods for scalar fields. Recent Trends: 2025 publications highlight discrete vector field construction and topological simplification solvers, building on 2024 work in open-access repositories. Earlier work includes particle system simulations (2022), neural representations for volumetric data (2021), and foundational contributions to Delaunay meshing (2008–2012). Collaborations: Regularly works with Julien Tierny, Matthew Berger, Robert M. Kirby, and Valerio Pascucci.

Bowei WuView profile

Assistant Professor

• Numerical Solution of PDEs
• Integral Equation Methods
• Scientific Computing
• +6 more

Bowei (Bobbie) Wu is an Assistant Professor in the Department of Mathematics & Statistics at the University of Massachusetts Lowell. He holds affiliations with the Kennedy College of Sciences. His research focuses on numerical methods for partial differential equations, integral equation techniques, and scientific computing with applications in fluid dynamics and wave propagation. Education: Ph.D. in Applied and Interdisciplinary Mathematics, University of Michigan (2019) M.S. in Applied and Interdisciplinary Mathematics, University of Michigan (2014) B.S. in Mathematics, Sun Yat-sen University (2012) Research Interests: Dr. Wu specializes in high-order numerical methods, fast solvers for complex fluid systems, and wave propagation phenomena. His work emphasizes accurate and efficient computational techniques for boundary integral equations, particularly in nonsmooth geometries. Key themes include electrohydrodynamics of vesicles, Stokes flow simulations, and quadrature rule development for singular integrals. Publications: His recent work explores unified quadrature methods for boundary integral operators, robust solvers for scattering problems, and computational models of biological systems. These contributions advance computational efficiency and accuracy in fluid dynamics and biophysical modeling. Labs/Code: He develops computational tools such as ZetaTrap2D/3D for high-order quadrature rules and BIE2D for boundary integral equation solvers. These are publicly available on GitHub.