Find Academic Supervisors

• Water Waves
• Symplectic Geometry
• Shallow Water Hydrodynamics
• +7 more

Professor Thomas J Bridges is a faculty member in the Department of Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. He holds a PhD, MA, and BSc, and is actively engaged in research and teaching in applied mathematics. Academic Rank: Professor Institution: University of Surrey School: School of Mathematics and Physics Department: Department of Mathematics Email: t.bridges@surrey.ac.uk His research focuses on water waves, symplectic geometry, shallow water hydrodynamics, and nonlinear wave theory. Key interests include the Maslov index, solitary waves, Whitham modulation, and geometric mechanics. He has contributed extensively to the theory of wave-mean flow interaction and the emergence of dispersive models such as KdV and Boussinesq equations. The recent publications highlight a consistent focus on symplectic structures, stability of waves, and numerical simulations of fluid systems. Themes include modulation theory, multi-phase waves, and the dynamics of shallow water and sloshing. His work often bridges abstract geometric formulations with physical fluid dynamics applications. Notable scientific contributions include: Development of multi-symplectic formulations for PDEs Reformulation of Whitham modulation near criticality Analysis of coalescing characteristics in wave systems Geometric phase and stability of nonlinear waves Theory of secondary criticality in water waves He has supervised MSc projects in astrodynamics and fluid dynamics, and his teaching includes Lagrangian fluid dynamics and geometric mechanics. He leads research projects such as the OWEL initiative on ocean wave energy. He collaborates widely and has advised multiple students in computational and theoretical fluid mechanics. Laboratories and research teams are not explicitly named, but his work involves numerical simulation groups and collaborations on fluid-structure interaction and wave energy systems.

• Fluid Dynamics
• Computational Fluid Dynamics
• Laser Ablation
• +3 more

Rob Hagmeijer is a Researcher at the University of Twente within Engineering Fluid Dynamics . With over 100 publications and an h-index of 12, his work spans computational fluid dynamics, laser ablation, and biomedical applications including nasal high-flow therapy and coronary bypass surgery optimization. Active in Medical Engineering and Fluid Dynamics research Recipient of the John Parker Medal (2017) and 3rd Prize Best Oral Presentation MST (2019) Developed algorithms for condensation experiments and multi-phase flow modeling Recent Research Trends: Focus on branched fluidic network optimization (2025), laser ablation crater analysis (2023), and computational modeling of respiratory systems (2022). His work combines theoretical analysis with clinical validation across disciplines. Scientific Awards: 3rd Prize Best Oral Presentation MST Wetenschapssymposium 2019 John Parker Medal for best clinical presentation at SCTS 2017 Collaborative Activities: Participated in presentations at conferences like SCTS 2017 , MST Wetenschapssymposium 2019 , and ECMI 2004 . Collaborated on projects involving laser-cluster interaction and high harmonic generation (2013).

Alberto StrioloView profile

Professor

• Chemical Engineering
• Environmental Science
• Nanotechnology
• +7 more

Alberto Striolo is the Asahi Glass Chair and Lloyd and Jane Austin Presidential Professor in the School of Chemical, Biological and Materials Engineering at the University of Oklahoma. He also holds an honorary part-time position as Research Professor at University College London (UCL). His research focuses on molecular simulations and multi-scale modeling to address challenges in energy, environmental science, and materials engineering. Education: PhD (2002) and B.S. (1998) in Chemical Engineering from the University of Padova, Italy. Postdoctoral training at UC Berkeley, North Carolina State University, and Vanderbilt University. Research Interests: In-silico design of chemical additives, environmental impact mitigation for energy sectors, microplastics/antibiotics contamination management, and pedagogical innovations. His work combines advanced simulations (e.g., molecular dynamics, machine learning) with experimental collaborations, aiming to bridge theory and industrial applications. Key Contributions: Over 200 peer-reviewed publications, including work on gas hydrate management, nanoparticle behavior, and shale gas dynamics. Notable projects include collaborations with BP, Chevron, and the Lawrence Berkeley National Laboratory. Awards: HP Outstanding Junior Faculty Award (2011), Fellowships from IoM3, RSC, IChemE, and IoP. Named Honorary Research Professor at UCL (2021). Advising & Grants: Mentored over 20 PhD students and postdocs. Secured funding from NSF, EPSRC, and industry partnerships. Active in diversity initiatives, including workshops on inclusivity in STEM. Labs & Teams: Leads a multidisciplinary research group utilizing cutting-edge computational tools. Collaborates internationally on projects like carbon capture and geothermal energy solutions.

Nikolay DimovView profile

Researcher

• BioEngineering
• Microfluidics
• Extracellular Vesicle Research
• +4 more

Nikolay Dimov is a Researcher at the University of Hertfordshire's School of Physics, Engineering & Computer Science, Department of Engineering and Technology. He leads the Microfluidics and Microengineering Research Group (MMRG) and collaborates with the Bioengineering research group and Extracellular Vesicle Research Unit. His work focuses on developing lab-on-a-chip biodetection systems for early disease diagnostics and exosome isolation technologies. Key projects include the DIVISIUM chip development and CIBD compact detection systems. His research integrates microfluidics with molecular assays for point-of-care diagnostics, combining engineering and biomedical approaches. Notable collaborations span 3D printing resins for medical applications and bioaerosol sensing systems. Projects like Air DNA Sampling and Mechanical Analysis of 3D Printing Resins highlight his interdisciplinary impact. Dr. Dimov has led or co-led 9 research projects, including EU-funded initiatives. His work emphasizes automated sample processing, high-fidelity biodetection, and exosome-based clinical applications. He has published extensively on centrifugal platforms, RNA purification, and lab-on-a-disc technologies.

Chinnapat PanwisawasView profile

Senior Lecturer

• Computational Materials
• Additive Manufacturing
• Digital Twin
• +8 more

Dr Chinnapat Panwisawas is a Senior Lecturer in Materials and Solid Mechanics at Queen Mary University of London, where he also serves as Deputy Director of Graduate Studies and Director of the Materials Science and Engineering Programme. His research focuses on multi-scale computational materials engineering, integrating physics-based and data-driven AI frameworks to advance additive manufacturing for aerospace, automotive, biomedical, and green energy applications. Education: PhD in Metallurgy (2013, University of Birmingham), BSc in Physics (2008, Chulalongkorn University) Dr Panwisawas' work spans additive manufacturing , digital twin technologies , and data-centric engineering . He employs integrated computational materials engineering (ICME) to optimize processes like laser powder bed fusion and directed energy deposition, addressing challenges in porosity, microstructural control, and material sustainability. His research aligns with UK net-zero targets, emphasizing eco-friendly manufacturing solutions. Recent publications highlight multi-material additive manufacturing , functionally graded alloys , and AI-driven process optimization . His team collaborates with Rolls-Royce, ISIS Neutron Source, and global institutions, securing grants from Innovate UK, Royal Society, and EPSRC. Awards include Fellowships from FIMechE, FInstP, and inclusion in the Top 2% of World Scientists in Materials (2022–2024). Scientific Awards: FIMechE (2021), FInstP (2020), FIMMM (2019), CEng (2016) Dorothy Hodgkin Postgraduate Award (2009–2012) AM-Bench First Place Award (2018) Dr Panwisawas supervises PhD students in projects ranging from 3D-printed prostate tissue imaging to ultralightweight mechanical metamaterials . His grants include the NEXTA Co-creation Centre and DISTorting Aerospace Manufacturing Boundaries initiatives, supporting innovation in titanium and multi-material AM.

• Geostatistics
• Reservoir Engineering
• Geochemistry
• +5 more

Christopher White is a Research Professor at the School for the Environment at the University of Massachusetts Boston. His expertise lies in geostatistics, reservoir engineering, geochemistry, and numerical modeling of fluid transport in porous media, with applications in geothermal energy, oil and gas dynamics, and environmental systems. White earned his PhD and MS in Petroleum Engineering from Stanford University and a BS in Petroleum and Geological Engineering from the University of Oklahoma. His career includes industry roles at Shell Research and Development, academic positions at The Bureau of Economic Geology (University of Texas at Austin), and over a decade as faculty at Louisiana State University. His research focuses on geostatistical modeling , reactive transport in groundwater systems, and optimization of energy recovery from geothermal and hydrocarbon reservoirs. Recent publications highlight critical zone evolution , trace element behavior in aquifers, and advanced reservoir simulation techniques. White's work bridges petroleum engineering principles with environmental geochemistry and hydrology. Scientific Award: US Patent 7,254,091 for reservoir uncertainty analysis.

István VargaView profile

Associate Professor

• Traffic Control
• Urban Traffic Modeling
• Intelligent Transportation Systems
• +7 more

István Varga is an Associate Professor in the Department of Control for Transportation and Vehicle Systems at the Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics. His work bridges theoretical control systems and practical transportation applications, particularly in intelligent traffic management and autonomous mobility. His research interests are centered on traffic control , urban traffic modeling , autonomous vehicles , emission modeling , and intelligent transportation systems . He applies advanced control methodologies such as model predictive control (MPC), set-theoretic control, and LPV modeling to solve real-world traffic problems including congestion, safety, and environmental impact. His work often integrates simulation platforms like VISSIM and MATLAB for system design and validation. The recent publications (2019–2024) reveal a strong trend toward connected and automated mobility , with a focus on V2X communication, platooning in urban environments, dynamic traffic light integration, and testing infrastructure like ZalaZONE. His research also addresses policy-level questions such as speed limit changes and dynamic road pricing using simulation-based impact analysis. The articles consistently emphasize multi-objective optimization, balancing traffic performance with environmental sustainability. István Varga is actively involved in the Hungarian Research Centre for Autonomous Road Vehicles (RECAR), contributing to national-level advancements in autonomous transport technology. His earlier work includes significant contributions to nuclear power plant safety systems, demonstrating interdisciplinary expertise in safety-critical control systems. While specific grants and students are not listed, his extensive publication record and leadership in research initiatives suggest active project involvement and academic supervision. He has contributed to both theoretical frameworks and real-world implementations, including traffic-responsive signal control, emission modeling for motorways, and robust control of industrial systems. His collaborations span academia and industry, with frequent co-authorship with researchers from Budapest University of Technology and Economics and the Hungarian Academy of Sciences.

• Computational Fluid Dynamics
• Vehicle Aerodynamics
• Aerospace Engineering
• +4 more

Dr. Tom-Robin Teschner is a Senior Lecturer in Computational Fluid Dynamics at Cranfield University's Centre for Computational Engineering Sciences. He holds a PhD in Aerospace Engineering from Cranfield University and has previously worked as a software engineer at the German Aerospace Center (DLR). His research focuses on applied aircraft aerodynamics (laminar flow promotion, transition modelling), vehicle aerodynamics (high-performance vehicles), and algorithmic design for reducing computational costs in CFD through hybrid CFD/deep-learning methods. Education: BEng in Aerospace Engineering from Hamburg University of Applied Sciences and University of Seville MSc in Computational Fluid Dynamics from Cranfield University PhD in Aerospace from Cranfield University Research Trends: His recent work combines computational fluid dynamics with machine learning for vortex detection and laminar flow optimization, addressing both aerospace and automotive applications. He collaborates with industry leaders like Airbus , Onera , and McLaren Automotive . Scientific Awards: Erich Becker Scholarship Lord Kings Norton Medal (best PhD thesis among 151 graduates) Advisory & Grants: He supervises research projects on vehicle and aircraft aerodynamics, funded by clients such as ITP Aero (Rolls-Royce), Defence Science and Technology Laboratory , Aston Martin Lagonda , and McLaren Automotive .

Katharina HopfView profile

Researcher

• Nonlinear Partial Differential Equations
• Cross-Diffusion Systems
• Reaction-Diffusion Systems
• +6 more

Katharina Hopf is a Researcher at the Weierstrass Institute in Berlin, where she leads the junior group Multi-species Balance Laws . She also supervises Master thesis projects in analysis and partial differential equations at Humboldt University of Berlin . Research Interests: Analytical aspects of nonlinear evolution PDEs Cross-diffusion and reaction-diffusion systems Interface phenomena and singularities Entropy tools and variational methods Metric gradient flows and mixed-type PDE systems Recent Publications focus on gradient flows, cross-diffusion models, and singularities in PDEs, with applications in viscoelastic phase separation, energy-reaction-diffusion systems, and fluid dynamics. Interdisciplinary work includes modeling reactive gas mixtures in porous media. Scientific Awards: 2020 Faculty Thesis Prize for Mathematics (University of Warwick)

Mitchell McMillanView profile

Research Fellow

• Subduction Zone Geodynamics
• Orogenesis
• Thermomechanical Modeling of Crustal Processes
• +7 more

Dr. Mitchell McMillan is a Postdoctoral Fellow at Georgia Institute of Technology, specializing in geodynamic processes that shape Earth's mountain belts and planetary surfaces. His research integrates thermodynamic modeling with field observations across three distinct domains: Subduction zone fluid dynamics and lower crustal density transformations Wind erosion mechanisms in hyperarid terrestrial and Martian environments Hydrodynamic modeling of fluvial erosion processes His computational work on streambank erosion modeling has produced globally applicable tools available via GitHub, while his recent Earth and Planetary Science Letters publication proposes novel mechanisms for lithospheric foundering. Current projects investigate weak-crust dripping dynamics in the Central Andes and their surface expressions. Key research themes: Crustal metamorphism-driven buoyancy changes Rayleigh-Taylor instability in continental lithosphere Wind erosion quantification in extreme environments Multi-scalar geomorphological modeling

Ezequiel MediciView profile

Adjunct Assistant Professor

• Numerical Modeling
• Heat and Mass Transport
• Porous Media
• +4 more

Ezequiel Medici is an Adjunct Assistant Professor at the Department of Mechanical and Aerospace Engineering, Michigan Technological University. His work bridges numerical and experimental research across multiple disciplines. Research Focus: Modeling phase change and heat/mass transport in porous media and cryogenic systems. Key Applications: PEM fuel cells, volcanic eruption dynamics, cryogenic propellant management, and industrial fluid transport. Publications Trends highlight expertise in: Multi-scale modeling (continuum and pore-network approaches) Cryogenic fluid behavior (liquid hydrogen, supersonic jets) Geophysical shock wave propagation Industrial applications (diapers, heat pipes, oil recovery)

Thomas P.A. van VurenView profile

Researcher

• Stochastic Operations Research
• Machine Learning
• Quantum Gravity
• +3 more

Thomas P.A. van Vuren is a researcher at the Eindhoven University of Technology , affiliated with the School of Mathematics and Computer Science and the Stochastic Operations Research department. His work bridges disciplines such as Stochastic Operations Research , Machine Learning , Quantum Gravity , and Chemical Engineering . His recent research explores Markov Chains and their applications in clustering (2024), Effective Field Theory and Symmetry Breaking in Type IIB string theories (2023), and Turbulent Emulsions with a focus on surfactant dynamics and viscosity asymmetries (2022). These works highlight his interdisciplinary approach to problems in Computer Science , Physics , and Chemical Engineering . Email: t.p.a.v.vuren@tue.nl Collaborations include projects with J. Sanders and S.F.M. van Kempen on AI-driven research (2021-2026), and co-authored works with L. Yi , D. Lohse , and C. Sun on fluid dynamics.

Svetlana TkachenkoView profile

Research Fellow

• Computational Fluid Dynamics
• Renewable Energy Systems
• Building Ventilation
• +7 more

Dr. Svetlana Tkachenko is a Post-Doctoral Research Fellow at the University of New South Wales (UNSW) Faculty of Engineering, Department of Mechanical Engineering. She specializes in computational fluid dynamics and heat transfer modeling with applications in renewable energy systems, building ventilation, and automotive aerodynamics. Her work bridges theoretical modeling with practical industrial applications through collaborations with various industry partners. Education: PhD in Mechanical Engineering, UNSW, Australia (2018) Dr. Tkachenko's research focuses on numerical modeling of fluid flow and heat transfer in renewable energy systems, particularly photovoltaic technologies and building-integrated applications. Her work spans passive cooling techniques for solar panels, building ventilation systems, and thermal management in automotive applications. She employs computational fluid dynamics (CFD), multi-phase modeling, and machine learning techniques to optimize system performance and energy efficiency. Her research has significant implications for improving the efficiency of solar energy systems and building thermal performance. An analysis of her recent publications reveals a consistent focus on heat transfer enhancement in photovoltaic systems, particularly through passive cooling techniques. Her work demonstrates increasing sophistication in modeling approaches, incorporating machine learning for weather data analysis and spectral modeling of PV surfaces. The research trajectory shows progression from fundamental fluid dynamics studies toward practical applications with industry partners. Scientific Recognition: Finalist, 2022 GUD Excellence Awards at the Royal Automobile Club of Victoria in Melbourne for collaboration with Disc Brakes Australia on thermodynamic simulations in brake rotor development Dr. Tkachenko actively supervises research students, currently mentoring two thesis students in renewable energy topics and one in disk brake modeling. She has contributed technical advice to numerous undergraduate and postgraduate theses on topics including photovoltaic cooling, building ventilation, and automotive aerodynamics. She serves as a Chief Investigator on an Australian Renewable Energy Agency (ARENA) grant titled 'Research boost for solar panel efficiency and cost reduction' (2020-2023). Her industry collaborations include partnerships with Disc Brakes Australia, 5B, and international collaborators in France and the UK. Dr. Tkachenko's research group utilizes advanced computational resources including ANSYS, OpenFOAM, and high-performance computing facilities at UNSW's Katana and NCI's Gadi. Her work on smart coatings for PV systems involves collaboration with A&B Smart Materials, an Oxford University-based venture developing novel materials for the photovoltaic industry.

Bertrand CARISSIMOView profile

Lecturer

• Earth Sciences
• Urban Climate Modelling
• Atmospheric Dispersion
• +4 more

Bertrand CariSSIMO is a Lecturer at École des Ponts ParisTech (ENPC), affiliated with the Center for Teaching and Research in Atmospheric Environment (CEREA), a joint lab with EDF R&D. His research focuses on micro-meteorological measurements and numerical modeling for urban climate applications, including pollution dispersion around industrial sites and wind farms. He holds an Engineer degree from the School of Hydraulics, Grenoble; a PhD from Princeton University; and a HDR (Habilitation à Diriger des Recherches). Key research interests include: urban climate dynamics, pollutant dispersion in complex environments, CFD modeling for atmospheric flows, and radiative/convective thermal exchanges in urban settings. His work integrates advanced numerical methods, such as time-staggered schemes for variable density flows, and employs tools like Code_Saturne and MUNICH street network models. Recent studies highlight innovations in parameterizing tree effects in street canyons, low-wind dispersion mechanisms, and thermal modeling of city centers. His interdisciplinary approach combines technical modeling with participatory urban quality assessments.

Benoît GoyeauView profile

Researcher

• Fluid Dynamics
• Porous Media Flow
• Thermal Convection
• +3 more

Benoît Goyeau is a researcher at the Mathematics and Computer Science for Complexity and Systems laboratory. His work focuses on fluid dynamics, porous media flow, thermal convection, and mathematical modeling of transport phenomena. He has contributed extensively to understanding interfacial fluid-porous medium interactions, boundary layer dynamics, and multiphase flow systems. Recent research emphasizes compressible flow modeling, membrane fouling mechanisms, and stability analysis of natural convection in porous-fluid systems. His research integrates experimental approaches with computational fluid dynamics, addressing challenges in heat transfer, mass transport, and material science. Key contributions include advancements in jump boundary condition theories for fluid-porous interfaces and pore network modeling of shear-thinning fluid behavior. Collaborations span multi-institutional teams, with frequent co-authorships on topics like thermosolutal convection and interfacial momentum transfer. Publications highlight innovations in porous media mechanics, including ATR-FTIR analysis of biomolecule interactions and experimental studies on convective flow structuring. His work bridges theoretical models with practical applications in energy systems, biomedical engineering, and materials characterization.