جست‌وجوی استاد و پژوهشگر

Lori Hathonمشاهده پروفایل

استادیار

• Reservoir Rock Properties
• Petrography
• Unconventional Gas Reservoirs
• +۳ مورد دیگر

Lori Hathon is an Instructional Assistant Professor at the University of Houston's Cullen College of Engineering, Department of Petroleum Engineering. She previously served as a senior research geologist at Shell International E&P, Inc. Her research focuses on reservoir rock properties, petrography, modeling permeability, and advanced imaging techniques like Micro-CT and FIB/SEM for unconventional reservoirs. She holds a Ph.D. from the University of Missouri. Research Interests include reservoir rock properties, petrography, predictive modeling of permeability and compressibility, and experimental maturation studies of source rocks. Key contributions involve integrating digital rock technology with reservoir characterization and developing protocols for upscaling rock properties. Her publications span 1992–2025, emphasizing geomechanics, petrophysics, and reservoir simulation. Notable works address acoustic anisotropy in sands, multiphysics modeling of carbonates, and stress-dependent rock properties. She advises current graduate students Clara Patricia Palencia Hernandez, Huan Tang, and Alessandra Isabel Simone de Belloso. Laboratory and team affiliations include the Petroleum Engineering Department’s experimental facilities, focusing on core analysis and imaging technologies. Her work bridges geological processes and engineering applications in energy resources.

Oleg Ilievمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +۵ مورد دیگر

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

Axel Klarمشاهده پروفایل

استاد

• Kinetic Theory
• Traffic Flow Modeling
• Pedestrian Dynamics
• +۶ مورد دیگر

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

Syed Imtiazمشاهده پروفایل

استاد

• Process Control
• Process Monitoring
• Modelling and Simulation
• +۵ مورد دیگر

Syed Imtiaz is a Professor and Department Head of Process Engineering at the Faculty of Engineering, Memorial University of Newfoundland . Holding a PhD in Process Control from the University of Alberta and professional engineering credentials (P.Eng.), he specializes in Process System Safety, Risk Simulation , and Advanced Monitoring Tools for industrial applications. B.Sc., M.Sc. (BUET), M.Sc. (University of Calgary), PhD (University of Alberta) P.Eng. certification Joined Memorial University in March 2010 Research focuses on multivariate statistical tools and Bayesian belief networks for process fault diagnosis , particularly in offshore oil & gas and mineral processing industries. His work includes modeling Hydrogen Desulfurization processes and automating Managed Pressure Drilling (MPD) systems. Key article trends include: Advancing machine learning for fault detection in harsh industrial environments Developing Bayesian networks for risk assessment in offshore operations Optimizing reservoir production using entropy generation minimization Improving dynamic positioning for autonomous marine systems Scientific contributions are recognized through university awards and >30 peer-reviewed publications.

Giordano Tierraمشاهده پروفایل

استادیار

• Multiphysics modeling
• Numerical analysis
• Complex fluids
• +۵ مورد دیگر

Giordano Tierra is an Assistant Professor in the Department of Mathematics at the University of North Texas. He holds a PhD in Mathematics from the University of Seville (2012) and has held research positions at Charles University in Prague and the University of Notre Dame before joining Temple University as Research Assistant Professor and subsequently UNT. His research develops computational methods for multiphysics problems involving complex fluid systems. Core applications include biofilm dynamics, tumor growth modeling, liquid crystal behavior, and non-Newtonian fluid flows. His work emphasizes energy-stable numerical schemes and finite element methods for systems of coupled PDEs. Dr. Tierra maintains active participation in professional societies including SIAM, AWM, and SEMA, and regularly presents at major computational mathematics conferences worldwide.

• Multi-disciplinary Systems
• Industrial Automation
• Micro and Nano Sensors
• +۴ مورد دیگر

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
• +۶ مورد دیگر

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 Kotlyarمشاهده پروفایل

دانشیار

• Nuclear Engineering
• Reactor Physics
• Advanced Reactor Design
• +۵ مورد دیگر

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
• +۴ مورد دیگر

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 Guiradoمشاهده پروفایل

پژوهشگر

• Thermal-Hydraulics
• Passive Safety Systems
• Small Modular Reactors
• +۷ مورد دیگر

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 Rivaمشاهده پروفایل

پژوهشگر

• Multi-physics Analysis
• Generation IV Reactors
• Computational Fluid Dynamics
• +۳ مورد دیگر

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 Badodiمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Computational Fluid Dynamics
• Reactor Physics
• +۳ مورد دیگر

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 Deanesiمشاهده پروفایل

پژوهشگر

• Molten Salt Reactors
• Multiphysics Modelling
• System Codes
• +۴ مورد دیگر

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 Cattoniمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Multiphysics Modelling
• Thermal-Hydraulics
• +۳ مورد دیگر

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 Roncoمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Generation IV Reactors
• Nuclear Fuel Modeling
• +۷ مورد دیگر

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.