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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.

Noor Shieela KalibView profile

Assistant Professor

• Solid Oxide Fuel Cells
• Renewable Energy
• Environmental Science
• +3 more

Noor Shieela Kalib is an Assistant Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. Her research focuses on sustainable energy systems, particularly solid oxide fuel cells (SOFCs), carbon emissions analysis, and thermal engineering. She contributes to the UN Sustainable Development Goals through her work on renewable energy and environmental sustainability. Her research interests include advancing SOFC technology for biomass-based power generation, optimizing thermal management systems using computational methods (e.g., FEM and CFD), and analyzing carbon emissions in ASEAN countries. She also investigates material properties and degradation mechanisms in fuel cells to improve durability and efficiency. Her recent work highlights trends in interdisciplinary studies, blending materials science with environmental policy analysis. Key themes include feasibility studies for renewable energy integration and comparative studies of CO₂ emissions across nations. Noor has no listed scientific awards but maintains active collaborations in materials science and energy systems. She has advised on several projects related to fuel cell design and emissions modeling, though specific grants or student names are not documented here. Her research often involves lab-based simulations and material characterization, contributing to both theoretical advancements and practical applications in sustainable energy sectors.

Jean-Pierre HickeyView profile

Associate Professor

• Multiphysics Simulations
• Turbulent Simulations (LES/DNS)
• High-speed Aerothermodynamics
• +4 more

Associate Professor Jean-Pierre Hickey at the University of Waterloo specializes in multiphysics simulations, turbulence modeling, high-speed aerothermodynamics, and acoustics. His research focuses on LES/DNS simulations, supercritical mixing, and thermoacoustic coupling. He holds a Ph.D. in Mechanical Engineering from the Royal Military College of Canada and has postdoctoral experience at Stanford University's Center for Turbulence Research and the German Aerospace Center (DLR). Education: 2012: Ph.D., Mechanical Engineering, Royal Military College of Canada 2007: M.Sc., Computational Mechanical Engineering, TU-Darmstadt 2004: Bachelor's, Mechanical Engineering, École Polytechnique de Montréal His research interests span turbulent flows, hypersonic aerodynamics, and combustion processes. He has authored over 50 publications, including studies on shock-turbulence interaction, transpiration cooling, and particle clustering in turbulent flows. His work bridges computational fluid dynamics (CFD), experimental validation, and machine learning for aerospace and environmental applications. In 2019, he received an award for excellence in teaching and scholarship. He teaches advanced fluid mechanics courses (ME 351, ME 566, ME 664) and mentors graduate students in experimental and computational fluid dynamics. His lab (www.mpilab.ca) focuses on developing novel methodologies for turbulence modeling and flow control. Awards: 2019 University Excellence Award for Teaching and Scholarship Current research includes in-situ resource utilization for space applications, deep learning for acoustic source localization, and turbulence modeling for hypersonic flows. He collaborates on projects funded by NASA and the Canadian Space Agency, aiming to advance propulsion systems and thermal protection technologies.

Johan RevstedtView profile

Professor

• Fluid Mechanics
• Turbulent Flow
• Computational Fluid Dynamics
• +3 more

Johan Revstedt is a Professor of Fluid Mechanics at Lund University's Faculty of Engineering (LTH), serving as Vice Dean and Assistant Dean. He is affiliated with the LTH Profile Area on The Energy Transition and the eSSENCE Collaboration for e-Science. His research focuses on fluid dynamics, biomedical applications (e.g., heart valve simulations), and energy systems. He supervises PhD students in projects like 'Feather morphology and aeroelastic control' and 'Predictive simulation of congenital heart disorders.' Education: Not explicitly stated in text. Research Projects: Includes Swedish Wind Center, cardiac valve simulations, and energy-efficient multiphysics modeling. Affiliations: Member of eSSENCE and LTH Energy Transition initiatives. Key research areas include turbulent flow, cardiovascular fluid dynamics, and climate-related engineering challenges. His recent work spans eco-cooler effectiveness, mitral valve simulations, and particle-pipe interactions.

Jonathan JungView profile

Lecturer

• Numerical Analysis
• Computational Fluid Dynamics
• High-Performance Computing
• +3 more

Jonathan Jung is a Lecturer at the University of Pau and Pays de l'Adour, affiliated with the Laboratory of Mathematics and their Applications (LMAP) and Inria's Cagire research team. His expertise centers on numerical methods for partial differential equations with applications in compressible fluid mechanics. Research focuses on: Finite volume and discontinuous Galerkin methods Low Mach number flow simulations Hyperbolic system solutions High-performance computing implementations Recent publications demonstrate consistent themes in numerical scheme optimization for fluid dynamics, particularly addressing stability and accuracy challenges in low Mach regimes. Key technical contributions involve curl preservation techniques, oscillation mitigation, and constraint-conserving algorithms.

• Medical Signal Processing
• Wireless Communication Networks
• Body Area Sensor Networks
• +4 more

Ilangko Sellappah Balasingham is a Professor of Medical Signal Processing and Communications at NTNU’s Department of Electronic Systems. He leads the Signal Processing Group and holds dual appointments at the Intervention Center, Oslo University Hospital. His research focuses on super-robust short-range communications for biomedical applications, body area sensor networks, and molecular communication networks. Balasingham earned both his MSc and PhD in signal processing from NTNU. His work spans over 20 years of leadership in projects such as the EU-funded B-CRATOS (brain-computer interfaces) and CLIPEUS (nanonetworks for infectious disease prediction), alongside Norwegian initiatives like 5G-HEART and WINNOW. Key areas include nanoscale communication systems, wireless in-body sensors, and cybersecurity in healthcare. Balasingham has coordinated over NOK 100 million in grants, with recent projects addressing personalized cancer treatment models and RF sensor development for cardiac health monitoring. Publications emphasize molecular communication channels, extracellular vesicle-based drug delivery, and biomedical implant systems. His research bridges signal processing, nanotechnology, and clinical applications, with a focus on translating theoretical models into practical healthcare solutions.

Ruobing BaiView profile

Assistant Professor

• Solid Mechanics
• Fracture Mechanics
• Adhesion Science
• +5 more

Ruobing Bai is an Assistant Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, College of Engineering. His research focuses on solid mechanics, fracture mechanics, adhesion science, and multifunctional materials. He holds a B.S. from Peking University (2012), a Ph.D. from Harvard University (2018), and postdoctoral training at Caltech. His work integrates theoretical modeling and experimental techniques in areas such as stimuli-responsive materials, sustainable polymers, soft robotics, and energy storage systems. Key projects include NSF-funded studies on adhesive materials and fracture-resistant hydrogels. He leads the Bai Research Group, offering positions in undergraduate research, PhD, postdoc, and visiting scholar roles. Bai has received prestigious awards like the NSF CAREER Award, EML Young Investigator Award, and Chun-Tsung Scholar. He serves on editorial boards, including the EML Early Career Advisory Board and ASME’s Mechanics of Soft Materials committee. His teaching includes courses on mechanics of soft materials and materials science. Research highlights include developing thermoswitchable adhesives, fatigue-resistant hydrogels, and advanced ionogels for energy storage. Collaborations with institutions like Michigan State University and industry partners drive innovation in sustainable materials and soft robotics.

Ahmet CansızView profile

Professor

• Superconductivity
• Magnetic Bearings
• Electromagnetic Systems
• +3 more

Ahmet Cansız is a Professor at Istanbul Technical University's Department of Electrical Engineering within the College of Engineering. His research spans superconductivity, electromagnetic systems, and energy storage technologies. Key areas: Superconducting Maglev, Magnetic Bearings, Energy Conversion Collaborations: Multi-institutional partnerships in Turkey and international networks Recent work focuses on magnetic gear systems (2025), ventilation panel shielding for military applications (2024), and in-vehicle communication optimization (2023). His research combines theoretical modeling with experimental validation. Projects include superconducting motor design (2025), electric vehicle battery systems (2022), and magnetic gear optimization (2017-2020). He has contributed to over 49 research outputs with 1119 citations and an h-index of 19.

Dylan RubiniView profile

Research Fellow

• Multiphysics Modelling
• Computational Engineering
• Machine Learning Acceleration
• +3 more

Dylan Rubini is a Postdoctoral Research Fellow in Computational Engineering at the University of Oxford, affiliated with St Anne’s College. He holds a DPhil (PhD) from the University of Oxford and an MEng in Engineering Science from Oriel College. His research focuses on developing multiphysics numerical tools accelerated by machine learning to enable decarbonization of high-temperature industrial processes. **Education** MEng in Engineering Science, Oriel College, University of Oxford (2016) DPhil in Engineering Science, St Hugh's College, University of Oxford (2024) **Research Interests** Dylan specializes in multiphysics modeling, computational fluid dynamics, and AI-driven acceleration of reactive flow simulations. His work aims to design turbomachinery concepts for sustainable industrial heating and chemical processing. Key areas include: Data-driven modeling frameworks (e.g., ChemZIP) Aerochemical coupling in novel turbomachines Decarbonization of hard-to-abate processes **Awards & Recognition** EPSRC IAA Doctoral Impact Award Best Paper Award (ASME Journal of Turbomachinery, 2023) Best Paper Award (Journal of the Global Power and Propulsion Society, 2024) IMechE Project Award **Labs & Collaborations** Dylan is part of the Oxford Thermofluids Institute and collaborates with institutions like the University of Cambridge and industry partners such as Mitsubishi Heavy Industries and Coolbrook Oy.

• Femtosecond Laser Fabrication
• Optical Fiber Sensors
• Photonics
• +3 more

Dr. Mohan Wang is a Postdoctoral Researcher at the University of Oxford's Department of Engineering Science. Her work focuses on femtosecond laser fabrication techniques for advanced optical devices, particularly in developing robust optical fiber sensors capable of operating in extreme environments. She holds a PhD from the University of Pittsburgh for her thesis on photonic device fabrication on transparent platforms. Her research interests include 3D photonic circuit fabrication, optical fiber sensor systems for industrial applications, and laser material processing. She collaborates with researchers such as Dr. Julian Fells, Dr. Patrick Salter, and Professor Martin Booth within the Dynamic Optics and Photonics research group. Dr. Wang’s publications span topics like nanograting-based sensors, high-temperature stable interferometric systems, and topological photonics. Her work bridges fundamental physics with applied engineering, addressing challenges in energy systems, additive manufacturing, and infrastructure monitoring through innovative optical sensing solutions. Notable contributions include pioneering reel-to-reel fabrication of fiber sensors and integrating machine learning with distributed fiber sensors for pipeline protection. Her interdisciplinary approach combines photonics, materials science, and data analytics to advance next-generation sensing technologies.

Christian M. FranckView profile

Professor

• High Voltage Gaseous Insulation Systems
• Future Overhead Power Transmission Lines
• High Voltage Solid Insulation
• +7 more

Christian M. Franck is a Full Professor of High Voltage Engineering at ETH Zurich's Department of Information Technology and Electrical Engineering, where he leads the Power Systems and High Voltage Laboratory. Appointed Assistant Professor in January 2010, promoted to Associate Professor in June 2015, and elevated to Full Professor in March 2020, he has established himself as a leading researcher in electrical power transmission technologies. Dr. Franck's academic foundation includes physics studies at the Universities of Bonn, Edinburgh, and Kiel (diploma 1999), followed by a Ph.D. in experimental physics from the Max-Planck-Institute for Plasma Physics in 2003. His industry experience at ABB Research Center (2003-2010), where he headed the high voltage systems and gas circuit breakers group, provided crucial practical insights that inform his research approach. Research Focus: His laboratory investigates 'technologies for future electric power transmission systems' with four primary thrusts: High Voltage Gaseous Insulation Systems, Future Overhead Power Transmission Lines, High Voltage Solid Insulation, and Current Interruption. This includes developing SF6 alternatives, HVDC insulation systems, hybrid AC-DC overhead lines, corona mitigation techniques, and advanced circuit breaker technologies. His methodology combines cutting-edge experimental techniques with multiphysics simulations to achieve both practical solutions and fundamental physical understanding. Analysis of his recent publications (2023-2025) reveals a strong emphasis on eco-friendly alternatives to traditional insulating gases, advanced monitoring systems for circuit breakers, and the physics of current interruption in novel gas mixtures. His work bridges fundamental gas discharge phenomena with practical engineering applications in power transmission infrastructure. Full Professor of High Voltage Engineering, ETH Zurich (March 2020 - present) Associate Professor, ETH Zurich (May 2015 - March 2020) Assistant Professor, ETH Zurich (January 2010 - May 2015) Group Leader, High Voltage Systems and Gas Circuit Breakers, ABB Research Center (2005-2010) Dr. Franck teaches foundational and advanced courses including Networks and Circuits I, High Voltage Engineering, and Introduction to Electric Power Transmission. His research group maintains strong industry connections, ensuring practical relevance while advancing the fundamental science of high voltage engineering. The laboratory's work directly addresses critical challenges in the energy transition, particularly in developing sustainable alternatives to SF6 and enabling more efficient electrical energy transmission systems.