Find Academic Supervisors

• Multi-disciplinary Systems
• Industrial Automation
• Micro and Nano Sensors
• +4 more

Dr. Mina Mortazavi is a Lecturer in Engineering at the School of Computer Science and Technology, University of Bedfordshire. She holds a PhD from Brunel University London, following BSc (Shahrood University of Technology, Iran) and two MSc degrees (University of Hertfordshire and Brunel University London). Her expertise spans teaching in electronics, signals, and control systems. She is a Fellow of the UK Higher Education Academy (since 2024) and actively contributes to professional committees like the Dielectric and Electrostatics committee (Institute of Physics). Education BSc in Electronics Engineering, Shahrood University of Technology (Iran) MSc in Advanced Digital Systems, University of Hertfordshire MSc in Advanced Engineering Design, Brunel University London PhD in Engineering, Brunel University London Research Interests Mina's work focuses on multi-disciplinary systems, industrial automation, and advanced manufacturing technologies. Her research includes non-thermal plasma applications, renewable energy systems, and sustainable micro/nano machining techniques like μECM. She emphasizes energy-efficient solutions for filtration and material processing. Recent Projects Co-investigator in the Innovate UK-funded RESORCS project (2024-2026) exploring off-grid renewable energy systems. Also led a participatory England-funded study on industrial sludge dewatering techniques (2023). Professional Contributions Member of Research Concordat Committee at University of Bedfordshire IET accreditation lead External panel member for Sunderland University’s programme revalidation Labs & Collaborations Affiliated with the Institute for Research in Applicable Computing (IRAC) and collaborates on interdisciplinary projects in sustainable manufacturing and energy systems.

• Fluid Mechanics
• Computational Fluid Dynamics
• Two-Phase Flows
• +6 more

Prof. Dr. Daniel Weiss is a Lecturer at the University of Applied Sciences Northwestern Switzerland (FHNW), affiliated with the Institute of Thermal and Fluid Engineering within the FHNW School of Engineering and Environment . He is responsible for the Energy and Environment profile in the Master of Science in Engineering (MSE) program. His teaching focuses on advanced simulation, computational fluid dynamics (CFD), fluid mechanics, and student project supervision across bachelor and master levels. Dr. Weiss’s research emphasizes application-oriented R&D, including projects like ConforMJet (waterjet technology innovation) and Autarky (off-grid sewage treatment), funded by the CTI (Commission for Technology and Innovation) and Aargau Research Foundation. His work spans multiphysics modeling, thermal energy management, two-phase flows, and additive manufacturing applications in fluid systems. His publications explore fluid dynamics, spray systems, and energy systems, with a focus on CFD-driven analysis of phenomena like cavitation, ultrasonic manipulation, and phase-change material behavior. He collaborates with industry and academic partners, contributing to sustainable engineering solutions and advanced manufacturing techniques. Dr. Weiss advises student projects and has secured grants for projects addressing environmental and energy challenges. His lab, within the Institute of Thermal and Fluid Engineering, integrates experimental and numerical methods to advance fluid mechanics and environmental engineering practices.

Dan KotlyarView profile

Associate Professor

• Nuclear Engineering
• Reactor Physics
• Advanced Reactor Design
• +5 more

Dr. Dan Kotlyar is an Associate Professor in the Nuclear and Radiological Engineering Department at Georgia Tech’s G.W.W. School of Mechanical Engineering. He holds a B.Sc., M.Sc., and Ph.D. from Ben-Gurion University of the Negev (2008–2013). His research focuses on advanced reactor modeling, nuclear thermal propulsion (NTP), and thermophotovoltaic microreactors. He leads the Computational Reactor Engineering (CoRE) Lab, developing tools for multi-physics analysis and reactor design optimization. Key projects include NTP systems for Mars missions and low-enriched uranium fuels. Education: B.Sc. Nuclear Engineering, Ben-Gurion University of the Negev, 2008 M.Sc. Nuclear Engineering, Ben-Gurion University of the Negev, 2010 Ph.D. Nuclear Engineering, Ben-Gurion University of the Negev, 2013 Research interests include: Monte Carlo depletion-thermal hydraulic coupling Advanced reactor design (NTP, microreactors) Fuel cycle optimization for proliferation resistance Multi-physics code development (e.g., SerpentTools) Notable achievements: Recipient of the NRC Faculty Development Fellowship 2019 AIAA Aerospace Power Systems Best Student Paper (co-authored) 2019 Spring Capstone Expo Best Senior Design Project Advising and grants: Ph.D. student Vedant Mehta won DOE Innovation Award (2019) Funded by BWX Technologies for NTP computational frameworks Labs/teams: Computational Reactor Engineering (CoRE) Lab, focusing on reactor physics tools and advanced system design.

• Neuroscience
• Biomedical Engineering
• Mitochondrial Biology
• +4 more

Rolando Berlinguer Palmini is a Researcher at Newcastle University, specializing in interdisciplinary research at the intersection of neuroscience, mitochondrial biology, and biomedical engineering. His work spans optogenetic technologies, cellular mechanisms in neurodegenerative diseases, and innovative drug delivery systems. He collaborates extensively with multidisciplinary teams, contributing to advancements in neuroprosthetics, mitochondrial dysfunction analysis, and astrocytic signaling. His research interests include dopamine’s role in dementia pathophysiology, super-resolution microscopy techniques for mitochondrial RNA localization, and nanoparticle-based therapies. He has also explored the application of optogenetics in neural stimulation and neuroprosthetic device design, with notable contributions to understanding synaptic plasticity and astrocyte-neuron interactions. Recent studies highlight his focus on mitochondrial complex I deficiencies, optogenetic multiphysical modeling for neural implants, and the therapeutic potential of obeticholic acid in liver disease. His work bridges clinical and molecular perspectives, addressing both fundamental biological questions and translational applications in healthcare.

Ignacio GuiradoView profile

Researcher

• Thermal-Hydraulics
• Passive Safety Systems
• Small Modular Reactors
• +7 more

Ignacio Guirado is a researcher at NRGroup since 2022, specializing in advanced nuclear energy systems. His work focuses on thermal-hydraulics, passive safety systems, small modular reactors (SMRs), and molten salt reactor technologies. Collaborations include ANSALDO NUCLEARE and Thales Alenia Space under Italy’s PNRR-funded Industrial PhD programs. Research emphasizes experimental validation, computational modeling (CFD/system codes), and digital twin frameworks. He co-supervises PhD candidates through initiatives like the 2022–2023 Industrial PhD fellowships, involving 6-month international placements. Current projects include neutronics analysis and multiphysics modeling of noble metal deposition in molten salt fast reactors. No specific awards or grants are detailed in the provided text, though his involvement in PNRR-funded programs highlights institutional recognition. His work bridges academic research and industrial applications in nuclear energy innovation.

Stefano RivaView profile

Researcher

• Multi-physics Analysis
• Generation IV Reactors
• Computational Fluid Dynamics
• +3 more

Stefano Riva is a Researcher at NRGroup , with an R&D period spanning from 2022 to today. His work focuses on multi-scale and multi-physics analysis , generation IV reactors , computational fluid dynamics , and model order reduction . PhD Thesis : Development of data-driven Reduced Order Modelling with application to MultiPhysics systems MSc Thesis : Reduced Basis Methods for Data Assimilation with application to real thermal-hydraulics systems (2021) Research Trends : Stefano's publications from 2021–2024 emphasize data assimilation , reduced-order models , and multi-physics systems in nuclear and fluid dynamics contexts. He explores hybrid techniques (e.g., GEIM and PBDW), noise stabilization in data assimilation, and finite element implementations for fluid simulation. His work bridges nuclear reactor analysis and thermal-hydraulics with advanced computational methods. Key Collaborations : Stefano has contributed to projects involving FEniCSx-OpenMC coupling for temperature feedback in neutronic calculations and sensor positioning optimization for Circulating Fuel Reactors .

Nicolò BadodiView profile

Researcher

• Nuclear Engineering
• Computational Fluid Dynamics
• Reactor Physics
• +3 more

Nicolò Badodi is affiliated with NRGroup, where he has been involved in R&D activities since 2020. His research focuses on advanced nuclear technologies, including Molten Salt Reactors (MSRs), neutronics, thermal-hydraulics, and multiphysics modeling. He has contributed to projects like the ELSMOR initiative, which involves Compact Plate Heat Exchangers for Small Modular Reactors (SMRs). His work integrates experimental and numerical analysis with simulation framework development and digital twin technologies. He supervises PhD and MSc students, overseeing theses such as 'Multiphysics Modeling Approach for Noble Metals Deposition in MSRs' (Giovanni Zullo) and 'Modelling of Gaseous/Volatile Fission Products Release from Oxide Fuel' (Stefano Passoni). His research also extends to computational fluid dynamics (CFD) applications in nuclear systems. No scientific awards are explicitly mentioned in the provided texts. His professional network includes collaboration with professors, research assistants, visiting researchers, and NRGroup alumni, indicating active academic-industrial engagement.

Sophie DeanesiView profile

Researcher

• Molten Salt Reactors
• Multiphysics Modelling
• System Codes
• +4 more

Sophie Deanesi is a Researcher affiliated with NRGroup, where she has been actively involved in R&D activities since 2023. Her work focuses on advanced nuclear technologies, particularly Molten Salt Reactors, multiphysics modeling, and system codes. She holds an MSc degree from 2023, with a thesis titled Multiphysics analysis of accidental transients for a Molten Salt Fast Reactor , and is currently pursuing a PhD with a thesis exploring Multiphysics Modeling Approach for the Analysis of Noble Metals Deposition in the Molten Salt Fast Reactor . Her research interests encompass neutronics, thermal-hydraulics, simulation frameworks, and digital twin technologies applied to nuclear systems. She contributes to the development of computational tools for reactor safety and performance analysis. No scientific awards or grants are explicitly mentioned in the provided information. Sophie is part of the NRGroup R&D team, collaborating on cutting-edge projects related to nuclear energy innovation.

Lorenzo CattoniView profile

Researcher

• Nuclear Engineering
• Multiphysics Modelling
• Thermal-Hydraulics
• +3 more

Lorenzo Cattoni is a Researcher associated with NRGroup, focusing on advanced nuclear energy systems and multiphysics simulations. His work spans molten salt reactors, nuclear fusion devices, and computational modeling of plasma interactions. He supervises MSc and PhD students in these domains. Research Areas: Molten Salt Reactors Multiphysics Analysis Computational Magnetohydrodynamics Laser-Plasma Interaction Digital Twin Development Student Supervision: Sophie Deanesi: Molten Salt Reactors & System Codes Matteo Lo Verso: Nuclear Fusion Reactors & Particle-in-Cell Simulations Nicolò Iaselli: Neutronics & Thermal-Hydraulics in Molten Salt Systems

Andrea Di RoncoView profile

Researcher

• Nuclear Engineering
• Generation IV Reactors
• Nuclear Fuel Modeling
• +7 more

Andrea Di Ronco is affiliated with Politecnico di Milano's NRGroup as a Researcher, focusing on nuclear fuel modeling, Generation IV reactors, and multiphysics simulation. His R&D activities span from 2020 to present, emphasizing fuel performance codes, molten salt fast reactor (MSFR) dynamics, and code validation. He holds a PhD (2018) and MSc (2016) in Nuclear Engineering from Politecnico di Milano, with theses on fuel pin performance and MSFR system design. His research interests include thermal-mechanical behavior of nuclear fuels, gaseous/solid fission products transport, and control-oriented modeling of nuclear reactors. He contributes to projects like SAMOFAR, addressing reactor safety, multiphysics coupling, and validation methodologies for advanced reactor concepts. His work involves collaboration on the IFMIF-DONES project, focusing on validation activities and remote handling systems. Notable contributions include developing OpenFOAM solvers for fission product transport and applying Kalman filters for radioactive source-term estimation during accidents. Di Ronco has co-authored over 20 peer-reviewed articles since 2016, with a focus on MSFR energy systems, heat exchanger design, and stability analysis using dynamic mode decomposition. He currently leads R&D initiatives in reactor dynamics, code validation, and nuclear fuel behavior under transient conditions.

Antonia LareseView profile

Associate Professor

• Computational Mechanics
• Computational Fluid Dynamics (CFD)
• Fluid Structure Interaction (FSI)
• +3 more

Antonia Larese is an Associate Professor in Hydraulic and Maritime Constructions and Hydrology at the University of Padova, Italy, and a Hans Fischer Fellow at the Technical University of Munich (TUM-IAS). She holds a PhD in Structural Analysis from the Technical University of Catalonia (UPC) and has extensive postdoctoral experience, including fellowships at the Spanish Ministry and the Catalonian Government. Her research focuses on Computational Mechanics, Fluid-Structure Interaction, and advanced numerical methods like the Material Point Method (MPM) and Finite Element Method (FEM). She is a core developer of the open-source KRATOS Multiphysics platform. Affiliations: University of Padova (Department of Mathematics), TUM-IAS, and the International Center for Numerical Methods in Engineering (CIMNE). Education: M.Sc. in Civil Engineering (University of Padova, 2006), M.Sc. in Numerical Methods (UPC, 2011), PhD in Structural Analysis (UPC, 2012). Research Interests: Computational Fluid Dynamics (CFD), fluid-structure interaction, unfitted numerical techniques, free surface flows, and non-Newtonian materials. Her work emphasizes innovative methods for simulating complex engineering systems, including porous media and protective structures against natural hazards. Her recent publications (2021–2024) address topics like sediment transport optimization, wind engineering applications, and coupled material point-discrete element methods. These studies highlight advancements in numerical modeling for environmental and geotechnical challenges. Awards: - Rita Levi Montalcini Fellowship (2018–2021) - Juan de la Cierva Fellowship (2017–2018) - Special Doctoral Award (UPC, 2014) - Best PhD Thesis finalist (SEMNI, 2012) Advising & Grants: She leads projects like the Digital Twins of Civil Structures (REACT) and collaborates on initiatives such as the Material Point Method (MPM) development. Her work bridges academic research with industrial applications in civil and environmental engineering. Labs/Teams: Active contributor to CIMNE’s research groups and the KRATOS Multiphysics open-source community, advancing computational tools for multiphysics problems.

Hannah MorganView profile

Assistant Professor

• High Performance Computing
• Numerical Models
• Algorithms
• +3 more

Hannah Morgan is an Assistant Instructional Professor in the Department of Computer Science at the University of Chicago and also serves as a Lecturer in the Masters Program in Computer Science. She previously held a postdoctoral position in numerical methods at Argonne National Laboratory. Her work focuses on high performance computing, numerical models, and algorithms, particularly in the context of exascale computing and parallel implementations. Her research emphasizes developing performance models for high-performance computing algorithms, including those for solving large sparse systems and finite element methods for fluid models. At Argonne, she contributed to the Exascale Computing Project by studying computational kernels on heterogeneous CPU-GPU architectures. Her publications span topics like PETSc library enhancements for exascale systems, performance analysis of Krylov solvers, and finite element methods for fluid dynamics. These reflect her expertise in parallel computing, numerical linear algebra, and scalable simulation techniques. Morgan’s work bridges theoretical numerical methods with practical high-performance computing challenges, aiming to advance computational tools for scientific discovery at extreme scales.

Jeong-Hoon SongView profile

Associate Professor

• Computational Multiscale Analysis
• Computational Multiphysics Analysis
• Computational Material Design
• +3 more

Jeong-Hoon Song is an Associate Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. His research focuses on computational multiscale and multiphysics analysis, particularly in failure mechanisms, material design, and real-time model reduction. He holds a PhD from Northwestern University (2008) and MS/BS degrees from Yonsei University (2003/2001). Prof. Song’s work bridges atomistic simulations with continuum mechanics to predict material behavior under coupled thermal and mechanical loads. His lab (CM2 Lab) develops advanced numerical methods like the extended finite element method (XFEM) and strong-form meshfree collocation approaches for fracture mechanics, multiphase solidification, and additive manufacturing processes. Professional Memberships: ASCE EMI, USACM, IACM Key Research Themes: Multiscale modeling, computational material synthesis, and real-time simulation techniques Recent publications highlight advancements in frictional contact modeling, nano-crystal solidification, and continuum point cloud methods. His research emphasizes interdisciplinary applications, including aerospace and civil infrastructure durability under extreme conditions.

Louis GagnonView profile

Professor

• Financial Economics
• Risk Management
• Capital Markets
• +2 more

Louis Gagnon is a Professor at Queen's University's Smith School of Business, specializing in financial economics and risk management. With a PhD from the University of Toronto, his research examines capital markets, derivatives, and international finance through both theoretical and empirical approaches. His primary research explores risk-assessment methodologies, market volatility, and financial instruments in global contexts. Recent work includes analyses of corporate governance impacts on equity markets and pandemic-related economic behaviors. Dr. Gagnon's publications demonstrate cross-disciplinary integration, spanning financial theory, aerodynamics, and public health. His aerodynamics research focuses on cycloidal rotor efficiency and computational fluid dynamics, while financial studies address governance structures and market behaviors. He maintains active industry engagement through consulting and executive education programs. Professional affiliations include editorial roles at the Canadian Journal of Administrative Services and investment committee membership at the Community Foundation of Greater Kingston.

Martin AnderssonView profile

Professor

• Solid Oxide Fuel Cells
• Polymer Electrolyte Membrane Fuel Cells
• Heat and Mass Transfer
• +4 more

Martin Andersson is a Professor at Lund University's Department of Energy Sciences, affiliated with the LTH Profile Area: The Energy Transition and AdTherM: Advanced Computing for Sustainable Thermal Management in Industry. His research focuses on heat and mass transfer in fuel cells, including solid oxide (SOFCs) and polymer electrolyte membrane (PEMFCs) systems. He leads initiatives such as the Energy@LTH project and contributes to international collaborations like the IEA Advanced Fuel Cell Annexes. Andersson holds the titles of Director of First and Second Cycle Studies and Assistant Director, emphasizing educational leadership alongside research. His work aligns with UN Sustainable Development Goals, particularly energy systems and environmental sustainability. He has received awards including the Marie Curie Fellowship and VINNMER fellowship, and actively organizes seminars and conferences on energy transition topics. Research interests include modeling of transport phenomena in fuel cell components, nano/micro-structured materials' effects on energy efficiency, and sustainable thermal management strategies. His projects span numerical methods development, catalyst optimization for hydrogen production, and interdisciplinary approaches to electrochemical systems. Andersson has supervised seven research works and collaborates globally on topics like hydrogen business models and solar energy applications. Scientific contributions include over 150 peer-reviewed publications, with recent highlights on multiphysics modeling of porous media, hydrogen catalysts, and solar dryer systems. His work bridges computational analysis and experimental validation, addressing both fundamental and applied challenges in energy engineering.