Andrea Missaglia is a Researcher with expertise in nuclear engineering and thermal-hydraulics, focusing on small modular reactors (SMRs), passive safety systems, and radiation therapy technologies. Their work integrates experimental validation, computational modeling (CFD/system codes), and photonuclear reactions for nuclear waste management. Collaborations include ANSALDO NUCLEARE and Thales Alenia Space under the Italian Recovery and Resilience Plan (PNRR). Research activities span from 2013-2018 as a Research Assistant at NRGroup, focusing on submerged SMRs and Euratom proposals, to their current R&D role (2022–present) addressing SMR thermal-hydraulics and safety. Missaglia co-supervised 4 Industrial PhD fellowships (2022) requiring 6 months abroad in European R&D centers. Key technical areas include SMR safety analysis, DYNASTY facility modeling, parametric dynamic mode decomposition, and prompt gamma imaging for carbon ion therapy. Their publications (2021–2025) highlight interdisciplinary work blending nuclear engineering with medical physics and computational methods. No scientific awards are listed, but their contributions to SMR validation and photonuclear research demonstrate significant technical impact. Missaglia’s advising role in PNRR-funded fellowships reflects ongoing engagement with future nuclear energy professionals.
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David Novog is a Professor in the Department of Engineering Physics at McMaster University . His work bridges nuclear reactor physics, thermal hydraulics, and computational modeling, with a focus on safety analysis and advanced reactor designs like small modular reactors (SMRs). Research Interests: Nuclear reactor safety, computational fluid dynamics (CFD) in reactor systems, neutron tomography, uncertainty quantification in nuclear data, and energy transition strategies. Teaching: Courses include Thermal Systems Design (ENGPHYS 2NE3), Numerical Methods for Engineering (ENGPHYS 3NM4), and Computational Methods for Engineering Physics (ENGPHYS 2CE4). Grants: Co-leader of a $2.6M project on SMR research, with ongoing contributions to OECD/NEA benchmarks and nuclear safety frameworks. Labs: Active at the McMaster Nuclear Reactor , where experiments on neutron flux and heat transfer are conducted.
Samuele Meschiniمشاهده پروفایل
استادیار
- Nuclear Fusion
- Plasma Physics
- Tritium Fuel Cycle
- +۶ مورد دیگر
Samuele Meschini is a Fixed-term Assistant Professor at Politecnico di Torino's Department of Energy (DENERG). His research focuses on nuclear fusion reactors, specifically tritium breeding cycles, plasma physics, and reactor design. He collaborates with MIT Plasma Science and Fusion Center (MIT PSFC), Princeton Plasma Physics Laboratory (PPPL), and Eni through experimental and computational projects. Research Interests: Meschini specializes in optimizing tritium fuel cycles for fusion reactors, examining microscopic tritium transport mechanisms, neutron damage impacts, and plasma efficiency. His work integrates machine learning for data analysis and addresses global scalability of fusion energy. Recent Publications: His articles (2022-2025) predominantly explore tritium management, reactor shielding, and fuel cycle optimization. Computational modeling and experimental validation are recurring themes, with emphasis on ARC-class reactor systems and deuterium-tritium fusion efficiency. Teaching & Advising: He serves as course collaborator for nuclear engineering courses including Nuclear Fission Plants and Radiation Protection , and mentors PhD student Gabriele Iob. He also co-instructed MIT's Engineering Principles for Fusion Reactors (2023-2024). Projects: Leads the commercial research initiative Modeling and Analysis of the ARC-class Tritium Cycle (2024-2025).
Dr. Konstantin Mikityuk is Group Leader of Advanced Nuclear Systems at Paul Scherrer Institute's Laboratory for Simulation and Modelling. He has researched fast reactor safety since 1992, focusing on neutronics and thermal-hydraulics of sodium-cooled systems. As coordinator of the Horizon-2020 ESFR-SMART project, he leads European sodium fast reactor safety research. He represents Switzerland in the Generation-IV International Forum Experts Group and co-chairs its Education Task Force. Dr. Mikityuk also serves as Swiss representative to IAEA's Technical Working Group on Fast Reactors. His research develops computational methods for reactor safety assessment, including advanced simulation tools for sodium boiling phenomena, core power distribution, and fuel performance. Recent work examines metallic fuel behavior, accident progression in loss-of-flow scenarios, and uncertainty quantification methodologies. He obtained his PhD from Russian Research Centre "Kurchatov Institute" (2002) and holds engineering degrees from Moscow Engineering Physics Institute.
Scott Ormiston is a Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. He holds a B.Sc. (1981), M.A.Sc. (1984), and Ph.D. (1990) in Mechanical Engineering from the University of Manitoba and University of Waterloo. His research focuses on Computational Fluid Dynamics (CFD) , specializing in two-phase flow modeling, heat transfer, and numerical methods. Key areas include falling film condensation/absorption, turbulent flow in tube bundles, and CFD code development for industrial applications. His group develops in-house CFD codes and leverages commercial tools like ANSYS CFX and Fluent. Research emphasizes applications in power generation, refrigeration, and chemical processing industries. Recent work includes supercritical fluid instability analysis, phase change material thermal performance, and desalination systems. He actively seeks M.Sc. and Ph.D. students with strong fluid mechanics, heat transfer, and programming skills. Labs/Teams: His research group focuses on CFD software development and industrial collaboration. Ongoing projects involve modeling heat exchangers, aerothermal systems, and energy-efficient materials.
Gerhard Wellein is a Professor for High Performance Computing at the Department of Computer Science of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He is the head of NHR@FAU (Erlangen National Center for High Performance Computing) and a member of the board of directors of the German NHR-Alliance. Since 2024, he has also served as a Visiting Professor for HPC at the Delft Institute of Applied Mathematics, Delft University of Technology. He holds a PhD in theoretical physics from the University of Bayreuth and has over two decades of experience in HPC education and research. Research Interests: His research focuses on performance modeling and engineering, architecture-specific code optimization, novel parallelization techniques, and the development of hardware-efficient building blocks for sparse linear algebra and stencil solvers. His work bridges computer science, applied mathematics, and computational physics, aiming to maximize efficiency on current and future HPC architectures, including exascale systems. Publication Trends: His recent publications emphasize analytical performance modeling (e.g., Roofline, oscillator models), energy efficiency, GPU optimization, and scalable linear algebra. They reflect a strong focus on both theoretical modeling and practical implementation, with applications in CFD, quantum physics, and molecular dynamics. Scientific Awards: 2011 Informatics Europe Curriculum Best Practices Award (shared with Jan Treibig and Georg Hager) for outstanding teaching contributions in HPC. Grants and Advising: He has led numerous third-party funded projects from the EU, BMBF, and DFG, including EoCoE-III, ESSEX, EXASTEEL, and ProPE. These projects focus on exascale software, performance engineering, fault tolerance, and multiscale simulation. He has mentored multiple researchers and students, contributing to the development of tools such as LIKWID, ClusterCockpit, and GEOPM. Labs and Teams: He leads the HPC research group at FAU and is deeply involved in national and international HPC initiatives. His team collaborates extensively on open-source HPC software and performance tools, fostering a strong community-driven approach to performance engineering.
Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.
Mark Kimberمشاهده پروفایل
دانشیار
- Experimental and computational thermal hydraulics
- Uncertainty quantification in isothermal and non-isothermal turbulent flows
- Two-phase heat transport
- +۳ مورد دیگر
Mark Kimber is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University. He serves as Director of the Undergraduate Program and has a research focus on experimental and computational thermal hydraulics, uncertainty quantification in turbulent flows, and two-phase heat transport systems. Ph.D., Mechanical Engineering, Purdue University – 2008 M.S., Mechanical Engineering, Brigham Young University – 2004 B.S., Mechanical Engineering, Brigham Young University – 2002 His research interests include: Experimental and computational thermal hydraulics Uncertainty quantification in isothermal and non-isothermal turbulent flows Two-phase heat transport Turbulence modeling Heat transfer optimization Nuclear reactor design Recent publications focus on nuclear reactor thermal management systems, turbulence modeling validation, and advanced heat exchanger design. Key trends include: CFD analysis of nuclear components Multiphysics modeling Thermal safety systems Neutronics coupling Energy transition applications Validation protocols Scientific awards: Faculty Development Award, Nuclear Regulatory Commission – 2009-2011
Alex Whiteمشاهده پروفایل
مدرس ارشد
- Thermofluids
- Two-Phase Flow
- Thermodynamics
- +۶ مورد دیگر
Dr. Alex White is a Senior Lecturer in Thermofluids at the Department of Engineering, Cambridge University, and a Fellow and Director of Studies at Peterhouse. He earned his undergraduate and PhD degrees from King's College, Cambridge, and conducted postdoctoral research in Cambridge, Lyon, and Toulouse before returning to Cambridge in 2000 as part of the Energy Group. His research focuses on two-phase flow (vapour-droplet flows), thermodynamics of power generation, Computational Fluid Dynamics (CFD), and heat pumps. His work includes theoretical and numerical studies on warm dense matter, electron transport, and energy storage systems like pumped thermal and compressed air storage. Recent publications emphasize warm dense matter physics, inertial confinement fusion, and thermal energy storage innovations. His theoretical analyses and simulations span high-energy-density plasmas, nonlocal electron stopping power, and hybrid energy systems. While no scientific awards are documented, his contributions to thermofluids and extreme condition physics are significant.
Nikola Popovمشاهده پروفایل
استاد مدعو
Nikola Popov is an Adjunct Professor in the Department of Engineering Physics at McMaster University . With a focus on Nuclear Engineering and Thermal-Hydraulics , he has contributed extensively to reactor safety, licensing, and computational modeling. Contact : npopov Teaching : Courses like Nuclear Reactor Physics , Advanced Nuclear Engineering , and Reactor Safety Design since 2017. His research explores nuclear reactor systems , emphasizing thermal-hydraulic behavior , severe accident mitigation , and regulatory compliance . Key projects include the ACR-1000 and CANDU reactors , with publications on Phenomena Identification and Ranking Tables (PIRTs) and computer code validation . Recent publications highlight trends in Nuclear Engineering and Thermal-Hydraulics , including reactor design comparisons, safety protocols, and computational modeling techniques. Themes span molten salt reactors , LOCA analysis , and code validation .
Giovanni Ghigliotti is a Lecturer and researcher at the University of Grenoble Alpes since 2014, affiliated with the LEGI laboratory (UMR 5519). He is part of the MOST team, specializing in Turbulence Modeling and Simulation. His research focuses on multiphase fluid dynamics, particularly phase-change phenomena like boiling and cavitation, with an emphasis on numerical simulation to study hydrodynamic interactions, wetting, and material deformation. He holds a PhD in Fluid Mechanics from Joseph-Fourier University (2010). His work spans cavitation erosion mechanisms, fluid-structure interaction modeling, and heat transfer in multiphase systems. He contributes to the development of the Yales2 code, a parallel numerical simulation tool for complex flows. In teaching, he leads the Energy pathway of the Master's program in Process Engineering at Grenoble Alpes, instructing fluid mechanics, numerical methods, and thermodynamics. His research also involves collaborations with the GIS SUCCESS group, advancing high-performance computing and turbulence modeling. Key research themes include: Boiling crisis dynamics and thermal insulation effects Cavitation bubble collapse and material erosion Centrifugal microencapsulation process analysis Fluid-structure interaction in multiphase flows Unstructured grid simulations for phase change phenomena His recent publications (2024-2019) demonstrate expertise in non-Newtonian fluid simulation, cavitation erosion mechanics, and advanced computational methods for multiphase systems.
Alexis Giauqueمشاهده پروفایل
پژوهشگر
- Fluid Mechanics
- Aeroacoustics
- Turbulence Modeling
- +۳ مورد دیگر
Alexis Giauque is a Researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509) affiliated with École Centrale de Lyon in Lyon, France. His primary research focuses on computational fluid dynamics (CFD), aeroacoustics, and turbulence modeling with applications to propulsion systems and noise prediction in turbomachinery. His work leverages advanced numerical methods like Large-Eddy Simulation (LES) and hybrid machine learning approaches to study complex flows in transonic fan stages, dense gases, and compressible systems. Key Research Themes: LES modeling of tip-leakage vortices and separation bubbles Lattice Boltzmann methods for turbulent flows Direct noise prediction in ultrahigh-bypass-ratio turbofans Experimental validation of real gas annular cascade flows His recent studies prioritize improving turbulence models for dense gas flows and optimizing blade designs to reduce propulsion noise. Collaborations involve experimental facilities and numerical code development (e.g., SU2, ANN-based LES models).
Dr. Abdelouahab Dehbi is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, affiliated with the Laboratory for Simulation and Modelling within the Center for Scientific Computing, Theory and Data. His research focuses on computational fluid dynamics (CFD), aerosol behavior, and severe accident analysis in nuclear systems. Key projects include the ARTIST initiative investigating aerosol retention in steam generators during severe accident scenarios. He specializes in modeling turbulence, multiphase flows, and thermal hydraulics with applications to nuclear reactor safety. Notable contributions include CFD-based studies on particle dispersion, condensation phenomena, and validation of safety codes against experimental data. Collaborations span international institutions, emphasizing experimental validation and code benchmarking. Research Contributions Development of stochastic and LES-based models for particle transport and deposition. Investigation of steam condensation dynamics in the presence of noncondensable gases. Leadership in the ARTIST project, yielding insights into SGTR (Steam Generator Tube Rupture) aerosol retention. Pioneering work on granular flow dynamics in pebble-bed reactors and hydrogen mitigation strategies. Key Collaborations Active in OECD/NEA CFD4NRS workshops and international projects like PHEBEN-2 and IPRESCA. His work bridges CFD simulations with experimental data from facilities like CESANE and PANDA. Future Work Ongoing focus on enhancing safety analyses through advanced CFD techniques, thermal radiation modeling, and validation of correlations for steam condensation under extreme conditions.
Janne Wallenius is a Professor at the Department of Nuclear Science and Engineering at KTH Royal Institute of Technology. His research focuses on lead-cooled reactor design, nuclear waste transmutation, advanced nuclear fuels, and radiation damage physics. He leads the spin-off company Blykalla, developing small lead-cooled reactors for commercial heat and power production. Wallenius teaches several courses including Generation IV Reactors , Small Reactors , and The Nuclear Fuel Cycle , serving as examiner and course responsible. His work emphasizes passive safety systems and nuclear fuel innovation. Key research interests include transmutation of actinides, lead-cooled reactor safety, and nitride fuel development. His recent publications address transient analysis, cladding fatigue, and reactor activation studies. Wallenius contributes to international projects like the European Lead-Cooled Training Reactor (ELECTRA) and China Initiative Accelerator Driven System (CI-ADS). His research bridges academic advancements with industrial applications through Blykalla's commercial reactor development.
Professor Mark Thompson is a distinguished academic in the Department of Mechanical & Aerospace Engineering at Monash University, Faculty of Engineering. He holds the rank of Professor and has been a key figure in fluid dynamics research and academic leadership since joining Monash in 1995. He previously worked at CSIRO for ten years and earned his PhD from Monash in 1985. He has served as Associate Dean of Research Training (2003–2007) and Head of Department (2008–2011). Research interests include theoretical, computational, and experimental fluid dynamics, with focus on flow stability, transition to turbulence, bluff body flows, wake dynamics, flow-induced vibration, aeroacoustics, and applications in bioengineering, turbomachinery, vehicle aerodynamics, and sports. His work contributes to sustainable engineering and aligns with UN Sustainable Development Goals. The recent publications highlight a consistent focus on complex fluid-structure interactions, bluff body aerodynamics, and computational/experimental modeling. Key themes include wake transitions, vortex instabilities, flow control via afterbody design, and environmental and industrial applications such as wind comfort and heat transfer. His research combines high-fidelity simulations with wind tunnel and water channel experiments. Scientific awards: Faculty Research Award (2015) Fellow of the Australasian Fluid Mechanics Society (2018) Advising and grants: Professor Thompson is currently accepting PhD students and has supervised numerous research projects. He has led multiple externally funded research initiatives, including ARC-funded projects on flapping aerodynamics and fluid-structure interactions. His consulting experience includes collaborations with AMIRA, CRA, and Ford Europe. He has also contributed to editorial boards of the International Journal of Fluid Dynamics and an Elsevier journal. Labs and teams: He is a core member of a multidisciplinary research group at Monash focusing on fluid dynamics, collaborating closely with Professors Hourigan, Sheridan, and Lo Jacono. The team operates advanced experimental facilities including wind tunnels and water channels, and develops custom CFD codes for simulating complex flows.