Find Academic Supervisors

• Numerical Analysis
• Partial Differential Equations
• Computational Fluid Dynamics
• +4 more

Lyudmyla F Barannyk serves as an Associate Professor in the Department of Mathematics and Statistical Science within the College of Science at the University of Idaho. Her academic career spans over two decades with a focus on computational mathematics and interdisciplinary engineering applications. Her educational background includes: PhD in Mathematical Sciences (2003) from New Jersey Institute of Technology and Rutgers, State University of New Jersey MS in Applied Mathematics (2000) from New Jersey Institute of Technology BS and MS in Mathematics, Mathematical Physics, Teaching in Mathematics and Computer Science (1994) from Kharkiv National University, Ukraine Dr. Barannyk's research centers on Numerical Analysis and Partial Differential Equations, with significant contributions to phase change problems (particularly the Stefan problem with internal heat generation), interfacial fluid dynamics, and computational modeling of thermoelectric materials. Her work bridges mathematical theory with practical engineering challenges in thermal systems, materials science, and high-speed electronics. She has developed specialized numerical methods including Fourier-Bessel series expansions and causality enforcement techniques for electromagnetic applications. Analysis of her 2015-2024 publications reveals a strong interdisciplinary trajectory connecting mathematical physics with engineering disciplines. Her thermal modeling research consistently addresses complex geometries (cylindrical, spherical) and boundary conditions, while her signal processing work focuses on time-domain analysis for high-speed interconnects. This dual focus demonstrates exceptional versatility in applying advanced mathematical techniques to diverse physical phenomena. No specific scientific awards were documented in the source material. While her publication record indicates collaborative research, details regarding graduate student advising, research grants, or laboratory facilities were not provided in the available information. Her work appears to involve significant cross-disciplinary collaboration between mathematics, materials science, and electrical engineering departments.

Taner YılmazView profile

Assistant Professor

• Structural Engineering
• Earthquake Engineering
• Risk and Reliability Analysis
• +4 more

Dr. Taner Yılmaz is an Assistant Professor in the Department of Civil Engineering at Özyeğin University, Istanbul, Turkey. He holds a Ph.D. in Civil Engineering (Structural Engineering) from The Pennsylvania State University (2015), and M.Sc. and B.Sc. degrees in Civil Engineering from Middle East Technical University (2008, 2005). His academic career spans roles as a Graduate Research Assistant at Penn State (2011-2015) and Teaching Assistant at METU (2009-2011), alongside professional experience as a structural engineer in Turkey (2005-2007, 2007-2008). Education Ph.D., Civil Engineering (Structural Engineering), Penn State University (2015) M.Sc., Civil Engineering (Structural Engineering), METU (2008) B.Sc., Civil Engineering, METU (2005) His research focuses on structural and earthquake engineering, with emphasis on risk and reliability analysis, multi-hazard performance assessment, and resilient infrastructure systems. Key areas include structural health monitoring, soil-structure interaction, and seismic base isolation. His recent work investigates seismic performance degradation of RC buildings under the 2023 Kahramanmaraş earthquakes and time-dependent risk of aging bridges under combined hazards. Selected trends from his publications (15 most recent) include multi-hazard risk modeling, aftershock effects on infrastructure, confidence interval analysis for seismic risk, and sensitivity studies for bridge response under uncertain parameters. His work bridges computational methods with real-world applications in seismic and flood-prone regions. Scientific Awards Research Scholar, National Science Foundation (2011-2015) Fellowship, College of Engineering Recruitment Fund, Penn State (2012) Best M.Sc. Thesis Award, Turkish Road Association (2009) Dr. Yılmaz advises graduate students in topics like surrogate models for aftershock risk, reduced-order models for building assessment, and infill wall effects on seismic performance. He leads multiple TÜBİTAK-funded projects, including DRIFT (disaster forecasting) and EQLOSS (earthquake insurance modeling), with a vision to create sustainable, risk-resilient built environments.

• Turbulence theory
• Computational fluid dynamics
• Large-eddy simulation
• +4 more

Shiyi Chen is Chair Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech) . From January 2015 to November 2020 he served as the founding President of SUSTech. He is an Academician of the Chinese Academy of Sciences, a Fellow of the American Physical Society (1995), the Institute of Physics (UK, 2004) and The World Academy of Sciences (TWAS, 2018). Education B.Sc. in Mechanics, Zhejiang University (1981) M.Sc. in Mechanics, Peking University (1984) Ph.D. in Mechanics, Peking University (1987) Research Interests Professor Chen is internationally recognized for pioneering work in turbulence theory and computational fluid dynamics . His research spans direct numerical simulation of turbulent flows, large-eddy simulation and sub-grid-scale modeling, lattice Boltzmann methods , multi-scale algorithms , and the industrial applications of turbulence in multi-phase flows, combustion, and granular media. He developed the mapping-closure theory for probability density functions in turbulent reacting flows and provided fundamental explanations for the two-dimensional inverse energy cascade. Awards & Honors Academician, Chinese Academy of Sciences (2013) Fellow, American Physical Society (1995) Fellow, Institute of Physics, UK (2004) Fellow, The World Academy of Sciences (TWAS) (2018) Qiu Shi Outstanding Scientist Award (2017) Shenzhen Education Reform Pioneer Award (2019) Leadership & Service Professor Chen has held numerous leadership roles: President, Southern University of Science and Technology (2015–2020) Vice President for Research and Dean of Graduate School, Peking University (2013–2015) Founding Dean, College of Engineering, Peking University (2005–2013) Chair, Department of Mechanical Engineering, Johns Hopkins University (2002–2004) Director, State Key Laboratory of Turbulence and Complex Systems (2011–present) Alonzo G. Decker Jr. Chair in Engineering and Science, Johns Hopkins University Oppenheimer Fellow & Group Leader, Los Alamos National Laboratory (1987–1997) Research Staff Member, IBM TJ Watson Research Center (1994–1999) Laboratory & Research Teams Since 2011 he has directed the State Key Laboratory of Turbulence and Complex Systems , fostering interdisciplinary research in high-Reynolds-number turbulence, multi-scale modeling, and advanced computational techniques. Under his guidance the laboratory collaborates closely with national aerospace and energy industries.

• Process Control
• Systems Engineering
• Dynamic Simulation
• +3 more

Veronica Olesen is a Senior Lecturer at Chalmers University of Technology, specializing in Systems and Control Engineering. She serves as the head of education for multiple Master of Science programs, including Engineering Physics, Engineering Mathematics, Biotechnology, and Chemical Engineering, while also managing the Technical Foundation Year program. Her teaching focuses on control engineering in bachelor's programs, and her research emphasizes process control, modeling, and dynamic simulations with direct industrial applications. Chalmers University of Technology Department of Systems and Control Engineering Senior Lecturer Her research spans process control systems, with a focus on reducing complex industrial models for efficient control, particularly in tank reactor processes. She has contributed extensively to control theory and educational innovation, including digital live labs and sustainability integration in curricula. Key trends in her publications include model reduction for industrial reactors, control theory applications (Quantitative Feedback Theory), and advancements in mechatronics and sustainability education. Her work bridges theoretical control engineering with practical industrial implementation, particularly in chemical and biotechnological processes. While no explicit awards are listed, her leadership in academic programs and funded projects like OPTIMERA and Prameco highlights her institutional impact. She has collaborated with industry stakeholders and European partners to enhance technical education and process control methodologies.

• Continuum Mechanics
• Computational Material Mechanics
• Fracture Mechanics
• +4 more

Ragnar Larsson is a Professor in Computational Material Mechanics at Chalmers University of Technology. He leads the Division for Material and Computational Mechanics, focusing on advanced numerical methods for material deformation and failure analysis. His research spans continuum mechanics, computational modeling, and multiscale simulations. Applications in automotive safety, machining processes, and composite material simulation Specialization in localized deformation, crack propagation, and porous material-fluid interaction Developed models for ductile fracture, kink-band formation, and resin flow-deformation coupling in composites His publications demonstrate a consistent focus on computational methods in material failure analysis, with recent work on machine learning applications for machining processes and multiscale modeling of composite materials. Key collaborations include researchers in manufacturing, fracture mechanics, and composite science. Ragnar's work has been published in leading journals like Computer Methods in Applied Mechanics and Engineering , International Journal of Solids and Structures , and Composites Science and Technology , covering applications from microsystem interconnects to large-scale railway simulations.

• Nuclear Reactor Modeling
• Computational Fluid Dynamics
• Heat Transfer
• +5 more

Paolo Vinai is an Associate Professor at Chalmers University of Technology, working within the Subatomic, High Energy and Plasma Physics department. His academic career has been focused on nuclear reactor modeling and safety analysis, with continuous research activity evidenced by publications spanning from 2008 to the present. Dr. Vinai's research interests center on computational modeling of nuclear reactors, with particular emphasis on neutron noise analysis, reactor diagnostics, and safety assessment. His work bridges computational physics, nuclear engineering, and increasingly incorporates machine learning techniques for anomaly detection and reactor monitoring. He has developed high-fidelity simulation tools for analyzing nuclear reactors under both operational and accidental conditions, with significant contributions to understanding reactor dynamics, xenon oscillations, and sensitivity analysis. Analysis of his recent publications (2022-2024) reveals a strong focus on neutron noise applications for reactor diagnostics, with increasing integration of machine learning techniques. His work spans from fundamental reactor physics (modeling xenon oscillations, fuel assembly vibrations) to practical applications in nuclear safeguards and safety monitoring. The research demonstrates a clear progression toward more sophisticated computational methods, including reduced order modeling and hybrid deterministic-Monte Carlo approaches. Dr. Vinai has been actively involved in multiple research projects funded by organizations including the Swedish Radiation Safety Authority (SSM), the Swedish Energy Agency, the European Commission, and the Swedish Research Council. His projects often address critical challenges in nuclear reactor safety, diagnostics, and non-proliferation. He collaborates extensively with researchers across Chalmers and with international partners, particularly within the CORTEX project framework which focuses on core monitoring and diagnostics using reactor neutron noise. His work demonstrates strong connections between theoretical modeling, computational implementation, and practical nuclear engineering applications.

John McGreevey IIIView profile

Clinical Professor

• Clinical Decision Support
• Clinical Systems
• Clinical Workflow
• +7 more

John McGreevey III, MD is a Clinical Professor of Medicine at the University of Pennsylvania Health System, where he serves as Associate Chief Medical Informatics Officer (CMIO). His work focuses on enhancing clinical systems through medical informatics, patient safety, and quality improvement initiatives. Institution: University of Pennsylvania Health System Role: Associate Chief Medical Informatics Officer Dr. McGreevey’s research bridges clinical workflow optimization and human-computer interaction in healthcare systems. His contributions span: Clinical decision support systems Electronic health record (EHR) design Quality improvement in patient care AI integration into clinical environments His scholarly work emphasizes reducing alert fatigue, improving EHR usability, and mitigating errors in clinical workflows. Recent publications highlight AI governance, pandemic response tools, and the ethical implications of conversational agents in healthcare.

• Theoretical Physics
• Gravitation
• Cosmology
• +5 more

Piret Kuusk, born on February 21, 1947, is an Associate Professor at the University of Tartu's Institute of Physics within the Faculty of Science and Technology. She has maintained a consistent academic presence at the University of Tartu since the 1970s, transitioning through various research and teaching positions. Currently working at 0.10 FTE since January 2026, her career demonstrates a lifelong commitment to theoretical physics and its philosophical implications. Dr. Kuusk earned her degree in theoretical physics cum laude from the University of Tartu in 1970. She later completed her Doctor's Degree in 1990 with a dissertation titled 'Geometric aspects of supergravity and superstring theory' at the Institute of Physics of the Estonian Academy of Sciences, confirmed by VAK in Moscow. Her academic credentials include a DSc in physics and mathematics, reflecting her deep expertise in theoretical frameworks. Her research spans theoretical physics with a focus on gravitation, cosmology, and the philosophical foundations of physics. Kuusk has made significant contributions to scalar-tensor theories of gravity, exploring invariant quantities and their relationship to general relativity. Her work uniquely bridges hard physics with philosophical inquiry, examining quantum mechanics interpretations, the nature of physical reality, and the intersection of scientific theory with broader metaphysical questions. This interdisciplinary approach is evident in her publications on topics ranging from teleparallel gravity to the relationship between Leibniz's philosophy and quantum physics. Analysis of her recent publications reveals a clear trajectory where theoretical physics increasingly intersects with philosophical inquiry. While maintaining rigorous work in gravitational theories and cosmology, her more recent publications show greater emphasis on the philosophical implications of physics, particularly regarding truth, reality, and scientific methodology in contemporary discourse. This evolution reflects a scholar who has moved from purely technical theoretical work to examining the broader implications of physics for understanding reality. University of Tartu Badge of Distinction (2016) Article prize of journal 'Looming' for 'Madis Kõiv ja füüsika' (2014) University of Tartu Medal (2012) Translation prize of journal 'Akadeemia' for Heisenberg's 'Physics and Philosophy' (2010) Medal of the Order of the White Star of Estonian Republic (2001) Institute of Physics (UK), Fellow and Chartered Physicist (1999) Dr. Kuusk has served in various advisory and editorial capacities rather than traditional student supervision. She has been a member of the Advisory Board for Studia Philosophica Estonica since 2015 and for the journal Akadeemia since 2001. Her administrative work includes chairing the Estonian Physical Society (1998-2001), serving on the Council of the European Physical Society (1998-2001), and editing the Estonian Physical Society's annual publication (1989-2014). These roles demonstrate her commitment to advancing both physics and philosophical discourse in Estonia. While not leading a traditional laboratory in recent years, Kuusk has been deeply involved in academic networks including the International Society on General Relativity and Gravitation since 1995, the American Mathematical Society since 1994, and as a founding member of both the Estonian Physical Society (1989) and Estonian Mathematical Society (1987). Her collaborative work, particularly with colleagues like Laur Järv on gravitational theories, shows her continued engagement with research communities despite her reduced teaching load.

• Aerospace Propulsion
• Computational Fluid Dynamics
• Machine Learning
• +6 more

Andrea Ferrero is an Associate Professor at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . He leads research in aerospace propulsion, computational fluid dynamics (CFD), machine learning, and reduced-order modeling, with a focus on turbulent flows, turbomachinery, and combustion. Scientific Director for projects like NextGenSProDesT (2023–2025) and PARSEC (2024–2027). Active in commercial research collaborations with companies like Avio Aero and GE. His work bridges theoretical and applied research, emphasizing AI/ML integration in aerospace systems. Research Interests Andrea Ferrero's research spans: Aerospace Propulsion : Advanced rocket nozzles, hybrid engines, and hydrogen turbofans. Computational Fluid Dynamics : Turbulent and compressible flow simulations, reduced-order models (ROM). Machine Learning : Data-driven turbulence modeling, stress correction with physical constraints. Combustion & Propellants : UV-curable solid propellants, photocurable materials for additive manufacturing. Recent Publications His 2025 articles address hydrogen turbofan fuel systems, rocket nozzle retro-flows, and UV-curable propellants, reflecting trends in sustainable propulsion and AI-enhanced CFD. Earlier works include turbomachinery simulations, resonant igniters, and microwave material uncertainty analysis. Teaching & Students He teaches Innovative Approaches to Turbulent Flow Simulation and Reduced Basis Methods in doctoral programs. His PhD advisees explore topics like: Turbulent flow modeling (Giacomo Gedda, Lorenzo Folcarelli) Hybrid rocket engine optimization (Leonardo Stumpo) Cryogenic fuel systems (Alessandra Zumbo) Topological heat exchanger design (Alessandro Chiodi)

• Model Order Reduction
• Numerical Analysis
• Tensor Methods
• +2 more

Dr. Cleophas Kweyu is a researcher at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany, affiliated with the Computational Methods in Systems and Control Theory group, where he develops advanced computational techniques for complex scientific problems. His research expertise spans: Model Order Reduction via the Reduced Basis Method for efficient parametric simulations Numerical solutions of the Poisson-Boltzmann Equation in computational electrostatics Range-separated tensor decompositions for high-dimensional data compression His work bridges numerical linear algebra, computational chemistry, and systems theory to accelerate simulations of physical phenomena. As part of the Computational Methods team, he contributes to foundational algorithms for scientific computing with applications in molecular dynamics and control systems engineering.

Mahmoud AlzoubiView profile

Assistant Professor

• Transport phenomena in porous media
• Phase-change heat and mass transfer
• Artificial ground freezing
• +5 more

Dr. Mahmoud Alzoubi is an Assistant Professor at Queen's University , cross-appointed between the Robert M. Buchan Department of Mining Engineering and the Department of Mechanical and Materials Engineering . He leads an interdisciplinary research program that couples advanced transport phenomena with energy-efficient technologies for mining and renewable energy applications. Education: Ph.D. in Mining & Mechanical Engineering, McGill University (2018) M.Sc. in Engineering Systems & Management, Masdar Institute of Khalifa University in collaboration with MIT (2014) B.Sc. in Mechanical Engineering, Jordan University of Science and Technology (2005) Research Interests: His work centers on transport phenomena in porous media , with emphasis on phase-change heat and mass transfer , artificial ground freezing , thermal energy storage , microfluidic devices , and renewable HVAC cycles . By integrating high-fidelity experiments with large-scale numerical simulations performed on high-performance clusters, he advances sustainable solutions for energy-intensive mining operations and green building technologies. Publication Impact: Across 32 peer-reviewed articles (2013-2024), a dominant theme emerges: developing computationally efficient models for coupled thermo-hydraulic processes in freezing, storage and ventilation systems. Studies range from Stefan-problem analytical solutions for phase-change materials to large-eddy simulations of cough-jet dispersion for indoor-air safety, underscoring a methodological breadth that spans pure mathematics, experimental heat transfer, and applied computational fluid dynamics. Funding & Recognition: Total research funding secured: CAD 466,000+ (direct cash CAD 381,000 + high-performance computing allocation CAD 85,000) Former member, Canadian Hydrogen in Mining Advisory Committee , Natural Resources Canada Laboratory & Teams: Dr. Alzoubi directs a research laboratory at Queen’s University equipped with state-of-the-art instrumentation for multiphysics experimentation and access to national HPC facilities. The group collaborates closely with industry partners (mining, HVAC) and government laboratories to translate fundamental findings into scalable, energy-efficient technologies for northern mining and cold-region infrastructure.

Timothy FitzgeraldView profile

Professor

• Nonlinear fluid-structure interactions
• Computational continuum mechanics
• Experimental characterization of biological systems
• +2 more

Timothy Fitzgerald serves as Professor of Mechanical Engineering and Associate Dean of Academics and Research at Gonzaga University's School of Engineering & Applied Science, where he maintains active faculty status alongside administrative leadership. His research focuses on interdisciplinary mechanical systems with emphasis on: Nonlinear fluid-structure interactions in biological contexts Advanced computational continuum mechanics methodologies Experimental characterization of biological systems Complex system dynamics analysis Reduced-order modeling for control applications No scientific awards were documented in the provided source material. Administrative responsibilities as Associate Dean indicate leadership in academic programming, though specific advising activities, grant funding details, laboratory facilities, or research teams were not referenced in the available profile information.

• Nonsmooth Optimization
• Variational Analysis
• Mathematical Programming
• +1 more

Nghia T. A. Tran is an Associate Professor in the Department of Mathematics and Statistics at Oakland University, Rochester, MI, USA. His research focuses on mathematical optimization, variational analysis, and inverse problems, with applications spanning signal processing, statistics, and numerical algorithms. He serves as an Associate Editor for the journal Set-Valued and Variational Analysis . Research Interests: Dr. Tran specializes in: Nonsmooth optimization methods and variational inequalities Stability analysis of convex and non-convex optimization problems Regularization techniques for linear inverse problems Convergence properties of iterative algorithms Publication Trends: His 15 most recent publications (2016–2025) demonstrate a consistent focus on: Geometric characterizations of optimization stability (Lipschitz/tilt properties) Solution uniqueness in regularization frameworks (e.g., Lasso, nuclear norm) Convergence analysis of splitting methods and proximal algorithms Applications to matrix completion, inverse problems, and statistical learning Works predominantly appear in premier journals including SIAM Journal on Optimization, Mathematical Programming, and Journal of Optimization Theory and Applications.

• Computational Fluid Dynamics
• Gas Turbines
• Turbomachinery
• +5 more

Dr. Luca Di Mare is an Associate Professor of Engineering Science at the University of Oxford and a Fellow of St John's College. He leads research at the Oxford Thermofluids Institute, focusing on computational modeling of gas turbines. Previously, he headed the Whole Engine Modelling Group at Imperial College London's Vibration University Technology Centre, sponsored by Rolls-Royce. Research Focus: His group develops multi-fidelity models of gas turbine systems combining expertise in computational geometry , CFD , grid generation , and structural analysis . The Virtual Engine software developed under his leadership is being integrated into Rolls-Royce's engineering systems. He maintains additional research activities in turbulence modeling for compressors as a Visiting Academic at the Whittle Laboratory. Publication Trends: Recent works demonstrate strong focus on: Advanced turbomachinery modeling including aeroelastic phenomena and compressor design Hypersonic flow physics with emphasis on non-equilibrium thermochemistry Innovative shock tube methodologies for high-enthalpy flows Computational algorithm development for unsteady conjugate heat transfer Laboratories & Collaborations: Leads the Virtual Engine development team and collaborates extensively with the Whittle Laboratory on compressor research. Maintains significant industry partnership with Rolls-Royce plc through technology transfer initiatives.

• Hypersonics
• Aerospace Engineering
• Thermal Protection Systems
• +3 more

Matthew McGilvray is a Professor of Engineering Science at the University of Oxford and Senior Fellow in Hypersonics at the Oxford Thermofluids Institute. His research spans aerospace engineering, focusing on hypersonic flow dynamics, gas turbine heat transfer, and thermal protection systems for spacecraft. University of Queensland (BEng, PhD) 2009: Research Associate, Oxford Thermofluids Institute 2013: Associate Professor, University of Oxford 2021: Senior Research Fellowship, Royal Academy of Engineering 2023: Promoted to Professor Research Interests: McGilvray leads two major research groups: Hypersonics and Particle Deposition in Gas Turbines . His work includes: Designing hypersonic wind tunnels (Oxford HDT, T6, CXT) for spacecraft and scramjet testing Advancing transpiration cooling and pyrolysis gas effects for thermal protection Developing numerical tools (FROSST, LASTA, NESS) for shock tube simulations Analyzing ice crystal accretion and shedding in aeroengines Studying non-equilibrium thermochemistry and radiation in hypersonic flows Scientific Contributions: With over 54 journal articles and 135 conference papers, his recent publications highlight: Ice crystal dynamics in turbomachinery Thermochemical kinetics in hypersonic flows Ceramic-metal brazing for thermal protection Shock tube radiation diagnostics Boundary layer control via transpiration cooling Awards & Leadership: In 2021, he secured a Royal Academy of Engineering Senior Research Fellowship to establish the MoD Academic Centre of Excellence in Hypersonic Science and Technology . He has supervised 17 doctoral students and advances experimental facilities like the Oxford T6 Stalker Tunnel.