Find Academic Supervisors

Sara Zahedi is a Professor of Numerical Analysis at the Department of Mathematics, KTH Royal Institute of Technology, working within the Division of Numerical Analysis, Optimization and Systems Theory. She serves as an Associate Editor for the SIAM Journal on Numerical Analysis and contributes to the SCI Faculty Board to enhance collaboration and transparency in academic decision-making. Her educational background includes a doctorate from KTH on numerical methods for fluid interface problems followed by a postdoctoral position at Uppsala University. Doctorate: KTH Royal Institute of Technology Postdoctoral Position: Uppsala University Zahedi's research bridges mathematical theory and practical applications, focusing on computational methods for partial differential equations in evolving domains. She pioneers Cut Finite Element Methods (CutFEM) to eliminate re-meshing requirements in multiphase flow simulations, ensuring accuracy and robustness when interfaces separate immiscible fluids. Her work specifically targets challenges in large deformations and time-dependent geometries. Analysis of her recent publications reveals a concentrated research trajectory in advancing CutFEM for diverse applications including Stokes flow, Darcy flow, Maxwell's equations, and hyperbolic conservation laws. Key trends include high-order conservative schemes, divergence preservation, stabilization techniques for unfitted meshes, and extensions to surface PDEs and multi-physics problems. Her scientific recognition includes: European Mathematical Society Prize (2016) for outstanding contributions by young researchers Wallenberg Fellowship (2019) with extension granted in 2024 Zahedi serves as examiner for Degree Projects in Scientific Computing (SF250X, SF259X) and course responsible for Engineering Mathematics projects (SA120X). Her Wallenberg Fellowship provides substantial research funding supporting her work on numerical algorithm development. While specific lab structures aren't detailed, her research operates within KTH's Division of Numerical Analysis, emphasizing collaborative development of simulation tools for industrial and scientific applications. Her current research focuses on extending CutFEM to complex multi-physics scenarios with emphasis on conservation properties and computational efficiency, with potential applications in aerospace, biomedical engineering, and environmental modeling.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +3 more

Filip Johnsson is a Full Professor in Energy Technology at Chalmers University of Technology, where he leads research on measures to reduce the climate impact of the energy system. His work addresses both technical issues regarding electricity and heat production and how the entire energy system can be transformed by 2050 through technical-economic studies. Professor Johnsson's research spans multiple critical areas in the transition to sustainable energy systems: Energy Systems Analysis: Comprehensive modeling of energy systems to identify cost-effective pathways for decarbonization Industrial Decarbonization: Electrification of energy-intensive industries and carbon capture technologies Renewable Energy Integration: Grid stability, storage needs, and system flexibility with high shares of variable renewables Transportation Electrification: Real-world EV usage patterns and infrastructure requirements Fluidized Bed Technology: Advanced combustion and carbon capture processes Energy Policy: Critical analysis of Swedish and European climate policies and implementation strategies Johnsson's extensive publication record demonstrates a consistent focus on practical, implementable solutions for deep decarbonization across multiple sectors. His recent work shows increasing emphasis on industrial decarbonization pathways, grid integration challenges with high renewable shares, and critical evaluation of policy mechanisms. The research often employs technical-economic modeling approaches, combining engineering analysis with economic evaluation to identify cost-optimal pathways for climate mitigation. Professor Johnsson actively engages with Swedish energy policy debates, contributing to public discourse through newspaper articles and government reports. His work frequently addresses the practical implementation challenges of Sweden's ambitious climate goals, particularly regarding industrial decarbonization and grid infrastructure requirements.

• Energy Systems
• Climate Change Mitigation
• Carbon Capture and Storage
• +5 more

Gustav Amberg is a Professor at KTH Royal Institute of Technology, affiliated with the Flow Mechanics research group within the School of Engineering Sciences. His primary appointment is in the Department of Mechanics, where he focuses on fluid dynamics, multiphase flow, and interfacial phenomena. He holds a permanent full professorship with no indication of兼职 roles. Research interests center on dynamic wetting mechanisms, phase-field modeling, and computational fluid dynamics applied to complex fluid systems. His work explores contact line behavior, microstructured surface interactions, and material phase transformations. Notable areas include rapid droplet spreading, viscoelastic fluid dynamics, and boiling heat transfer on engineered surfaces. Recent studies investigate the interplay between surface topography and wetting dynamics, oscillatory contact line phenomena, and numerical benchmarking across molecular and continuum models. He has pioneered methods for simulating surfactant effects in multiphase flows and developed novel approaches for analyzing weld pool behavior during sintering processes. No academic awards or grants are explicitly listed in the provided materials. His advising record remains undisclosed, though his prolific publication history suggests active research supervision. Laboratory affiliations are not detailed, but his work aligns with KTH's broader initiatives in computational mechanics and materials science.

• Fluid Dynamics
• Computational Fluid Dynamics
• Multiphase Flow
• +3 more

Outi Tammisola is a Professor at KTH Royal Institute of Technology, specializing in Fluid Mechanics within the Department of Mechanics. Her research focuses on non-Newtonian fluids, viscoelasticity, multiphase flows, and microfluidics. She is actively involved in teaching and course coordination for mechanics and fluid dynamics courses, including Mechanics I, Mechanics II, and Wave Motion and Hydrodynamic Stability. Her work bridges numerical methods, experimental validation, and industrial applications, with a strong emphasis on understanding complex fluid behaviors in both theoretical and applied contexts. Dr. Tammisola’s research interests span topics such as elastoviscoplastic fluids, particle migration in microchannels, and interfacial phenomena in viscoelastic systems. Her recent publications address challenges in multiphase flow dynamics, including droplet coalescence, bubble migration, and the rheology of non-Newtonian fluids. She contributes to advancements in numerical methods, such as phase-field modeling and immersed boundary techniques, to simulate complex fluid-structure interactions. Her articles highlight trends in understanding fluid behavior under extreme conditions, such as high aspect ratio microchannels and porous media. Collaborations with experimentalists and computational scientists ensure her work remains both innovative and grounded in real-world applications. While no scientific awards are explicitly mentioned, her extensive publication record reflects significant contributions to the field of fluid mechanics. Outi Tammisola is also engaged in academic leadership, overseeing degree projects and contributing to the development of educational programs at KTH. Her research group likely explores cutting-edge topics in microfluidics and viscoelastic turbulence, though specific lab or team affiliations are not detailed in the provided texts.

• Fluid Mechanics
• Non-Newtonian Fluids
• Multiphase Flow
• +4 more

Gaetano Sardina is a Professor in Fluid Dynamics at Chalmers University of Technology, Sweden. His research spans mechanical engineering and environmental sciences, focusing on turbulence in urban heat islands, microplastic transport in marine environments, and cloud microphysics. In 2023, he secured an ERC Consolidator Grant for studying turbulence effects in mixed-phase clouds. Key Research Areas: Fluid dynamics, environmental engineering, multiphase flow, atmospheric science Recent Projects: 2024–2029: MixClouds - Turbulence in mixed-phase clouds (European Commission) 2021–2025: MicroPlastiX - Microplastic fate in marine ecosystems (Formas) 2020–2022: PICTURE - Urban particle transport modeling (VINNOVA) Scientific Awards: ERC Consolidator Grant (2023) Collaborations: Partners with European Commission, Swedish Research Council, Formas, VINNOVA

• Fluid Dynamics
• Environmental Engineering
• Turbulence
• +4 more

Lars Davidson is a Professor in the Department of Fluid Dynamics at Chalmers University of Technology. His research focuses on numerical simulations of fluid flow and heat transfer, with an emphasis on turbulence modeling for Large Eddy Simulation (LES) and hybrid LES/RANS methods. He has developed computational codes CALC-BFC and CALC-LES based on finite-volume techniques, and recently integrated machine learning to enhance wall functions and turbulence models. Key projects include Hybrid LES/RANS for wall-bounded flows Machine learning applications in fluid dynamics Aeroacoustic noise reduction in automotive and aerospace systems Wind turbine load analysis in forested regions . His publications span 302 articles in journals and conferences, with recent work on Neural networks for turbulence closure Plasma actuators for drag reduction Lattice Boltzmann wall-modeled LES . Collaborations include teams at Volvo, Siemens, and international research groups.

• Turbulence Modeling
• Computational Fluid Dynamics (CFD)
• Large Eddy Simulation (LES)
• +7 more

Satya Prakash Saraswat is a Postdoctoral Researcher at KTH Royal Institute of Technology's Nuclear Science and Engineering Unit in Stockholm, Sweden. He holds a Ph.D. from the Indian Institute of Technology Kanpur, with expertise in thermal-hydraulics, nuclear reactor safety, computational fluid dynamics (CFD), and system code development. His work spans fission and fusion reactor analysis, including contributions to the VALIDATIO project (University of Pisa) for fusion safety tools and the ATLAS project (Khalifa University) for advanced reactor safety enhancements. Research interests focus on computational modeling, AI integration in nuclear safety, and experimental validation of safety systems. He has developed skills in both experimental and numerical techniques, addressing challenges in multiphase flow, reactor core dynamics, and material compatibility. Key projects include validation of ASYST and SIMMER codes for condensation phenomena and lead-lithium interaction studies. Publications highlight advancements in burn-up wave characterization, code stability analysis (RELAP5/SIMMER), and thermal-hydraulic safety assessments for reactors like ESBWR and ITER systems. His work emphasizes enhancing safety tools through rigorous validation and innovative methodologies.

• Nuclear Reactor Safety
• Thermal-Hydraulics
• Computational Fluid Dynamics (CFD)
• +3 more

Christian Stranne is an Associate Professor at Stockholm University's Department of Geological Sciences, specializing in Marine geophysical mapping and modeling. He leads research projects investigating climate change impacts on methane dynamics and Arctic glacial systems. Research Focus Climate warming-induced methane release from marine sediments Arctic ice-ocean-atmosphere interactions Acoustic mapping of oceanographic features Submarine groundwater discharge mechanisms Glacial sedimentation and retreat dynamics Scientific Contributions His work integrates field observations with numerical modeling, particularly through: Development of geomechanically-coupled hydrate dissociation models Pioneering acoustic techniques for mixed layer depth mapping Quantifying glacial erosion rates in Greenland fjords Awards & Grants Swedish Research Council Postdoctoral Fellowship (2015) Swedish Research Council Grant for methane release study (2018) Swedish Research Council Grant for sediment-ocean-atmosphere methane study (2022) Field Experience Christian has extensive polar expedition experience: 6 major icebreaker expeditions to Antarctica and Arctic Ocean Research cruises in Sweden, Finland, Brazil, and Chile Expertise in CTD/LADCP operations and mooring deployments

• Marine geophysics
• Climate change impact on methane dynamics
• Submarine sediment processes
• +2 more

Johan Jansson is an Associate Professor in Scientific Computing at KTH Royal Institute of Technology and BCAM (Basque Center for Applied Mathematics). He leads research in predictive Direct FEM Simulation (DFS) for aerodynamics and multiphase flows, and co-founded Icarus Digital Math as CEO. His work includes the FEniCS open-source finite element software project and MOOC-HPFEM educational initiatives. He holds roles as Director of the Center for Digital Math and collaborates internationally in computational science. Research focuses on high-performance computing (HPC), fluid-structure interaction (FSI), biomedical modeling, and renewable energy systems. Notable contributions include adaptive FEM frameworks for turbulent flow, vocal fold simulations, and wave energy converter modeling. His work bridges academic research with industrial applications, leveraging FEniCS-HPC and Unicorn solvers. Key achievements include election to the IVA Royal Swedish Academy of Sciences 100-list and securing the Severo Ochoa Center of Excellence Award. He has pioneered open-source tools like SimTek and contributed to major projects like the Salter Sink and vocal production modeling. Teaching responsibilities include courses on database technology, computational fluid mechanics, and research methodology. He actively engages in large-scale simulation projects involving marine energy, cardiac ablation protocols, and aerodynamic optimization.

• Scientific Computing
• Computational Fluid Dynamics
• Finite Element Methods
• +3 more

Valery Chernoray is a Research Professor at the Division of Fluid Dynamics, Chalmers University of Technology. Since 1996, he has specialized in experimental fluid dynamics with extensive expertise in modern flow analysis and measurement techniques. He currently leads the Chalmers Laboratory of Fluid and Thermal Science, a university-wide research infrastructure facility that provides equal access to flow, temperature, and motion measurement capabilities for researchers across all engineering disciplines at Chalmers. Professor Chernoray's research encompasses several key areas in fluid dynamics: Experimental validation of computational models using Particle Image Velocimetry (PIV) Turbomachinery aerodynamics, particularly turbine rear structures and outlet guide vanes Bearing lubrication systems and multiphase flow in mechanical components Active flow control applications for automotive and marine systems Wind engineering for urban and marine environments Heat transfer analysis in complex engineering systems His recent publications (2022-2024) reveal a strong emphasis on experimental validation of computational models, with particular focus on lubrication systems in bearings and gearboxes, turbine aerodynamics, and active flow control. His work consistently bridges theoretical fluid dynamics with practical engineering applications, demonstrating expertise in both fundamental research and industrial problem-solving. As head of the Chalmers Laboratory of Fluid and Thermal Science, Professor Chernoray oversees comprehensive experimental facilities supporting research across multiple engineering disciplines. The laboratory provides critical infrastructure for experimental work in air, water, and solid object measurements, serving as a hub for interdisciplinary collaboration at Chalmers University.

• Experimental Fluid Dynamics
• Turbomachinery Aerodynamics
• Bearing Lubrication
• +5 more

Xiangyu Li is a doctoral student at the Department of Nuclear Science & Engineering, KTH Royal Institute of Technology. His research primarily focuses on nuclear engineering and thermal hydraulics, with a special emphasis on two-phase flow dynamics in porous media, machine learning applications, and reactor safety analysis. He has contributed to studies on debris bed remelting in reactor pressure vessels and optimization of heat exchangers using genetic algorithms. His work integrates experimental analysis with numerical simulations, addressing challenges such as interfacial drag forces and flow pattern identification through advanced signal processing and SVM classification techniques. While no academic awards are listed, his research has been published in peer-reviewed journals and conference proceedings since 2022.

• Nuclear Engineering
• Thermal Hydraulics
• Two-Phase Flow Dynamics
• +3 more

Lisa Prahl Wittberg is a Professor of Fluid Mechanics with a specialization in Multiphase Flows at the Department of Engineering Mechanics, KTH Royal Institute of Technology , since 2021. She leads the Biomedical Flows research group , focusing on multiphase flow dynamics in clinical and industrial applications. Her research integrates engineering principles with biomedical challenges, particularly in extracorporeal life support systems, blood pumps, and hemodynamic modeling. She holds an MSc (Mechanical Engineering) and PhD in Fluid Mechanics from Lund University (2007), followed by a Docentship in 2014. Her work addresses pathological processes and device performance in clinical applications, such as ECMO, hemodialysis, and respirators. Key areas include blood flow dynamics in artificial devices, particle transport in biological systems, and improving device safety through computational models. Her publications emphasize cannula design optimization, blood pump performance, and patient-specific vascular modeling. She collaborates on translating engineering insights into clinical practice, enhancing treatment efficacy and reducing complications in critically ill patients. Education: MSc (Lund University), PhD in Fluid Mechanics (2007), Docentship (2014). Labs/Teams: Biomedical Flows research group. Focus Areas: Multiphase flows, biomedical devices, hemodynamics, extracorporeal support systems.

• Fluid Mechanics
• Multiphase Flows
• Biomedical Engineering
• +4 more

Professor Daniel Söderberg is affiliated with KTH Royal Institute of Technology, where he holds the position of Professor of processes from fibre-based materials from forest raw materials. His research focuses on understanding natural material formation processes, particularly using cellulose nanofibrils as building blocks, to develop scalable industrial methods for creating high-performance bio-based materials. He employs advanced experimental techniques such as synchrotron X-ray imaging and neutron scattering to study material behavior at the nanoscale, contributing to sustainable, renewable material innovations. His research interests revolve around the development of bio-based materials and industrial processes inspired by natural mechanisms. Key areas include: Nanofibril assembly and self-organization in fluid systems Cellulose nanofibril-based composites and thin films Scalable production of high-performance bio-based materials Advanced characterization techniques (e.g., synchrotron X-ray imaging, neutron scattering) Material dynamics under various environmental conditions (e.g., humidity, compression) Integration of renewable materials into electronic and structural applications Recent research trends emphasize the application of machine learning for analyzing material dynamics, optimization of spray deposition techniques for scalable production, and exploration of lignin and cellulose nanocomposites for renewable materials. Collaborations with facilities like the MAX IV synchrotron highlight his focus on advanced imaging and structural analysis for material innovation. In advising and grants, Dr. Söderberg has contributed to research projects involving pilot-scale manufacturing processes and collaborations with advanced facilities like the MAX IV synchrotron. While specific student names or detailed grant information are not provided here, his work reflects a strong emphasis on team-based research in nanomaterials and sustainable technologies. He is also involved in academic ceremonies at KTH, including the 2021 Professorial Inauguration. Dr. Söderberg collaborates with the ForMAX beamline at MAX IV synchrotron in Lund, focusing on multiscale structural characterization of hierarchical materials. His research also involves the pilot-scale Experimental Paper Machine (XPM) for material production studies, examining fire retardant composites and nanopaper fabrication.

• Nanotechnology
• Material Science
• Bio-based Materials
• +3 more

Mikael Ersson is a Professor at the Royal Institute of Technology (KTH) in Stockholm, Sweden. He holds a prominent role in the Department of Materials Science and Engineering, contributing to academic leadership and research in metallurgical processes and sustainable materials production. His work focuses on advancing fossil-free steel production through innovative metallurgical processes and numerical modeling of high-temperature systems. Professor Ersson leads the MSc programs in Materials Design and Materials Science at KTH, emphasizing education and training for the next generation of materials engineers. He is actively involved in teaching courses such as Fluid Mechanics and Heat Transport, Material Design I, and Thermodynamics I, reflecting his expertise in both theoretical and applied aspects of materials science. His research interests span metallurgical process optimization, steel production sustainability, fluid mechanics in casting systems, and electromagnetic stirring. He employs computational fluid dynamics (CFD) and numerical modeling to study phenomena such as melt pool dynamics, solidification behavior, and inclusion transport in steel and magnesium alloys. Recent projects include investigations into hydrogen-reduced iron production, swirling flow effects in casting systems, and decarburization processes in converters. Professor Ersson collaborates with industry partners to bridge academic research with industrial applications, driving innovation in environmentally friendly steel manufacturing. His contributions have impacted the Nordic and EU steel industry's transition to sustainable practices. He is also engaged in academic outreach, organizing events like the Library Fair and contributing to student development through KTH’s campus initiatives.

• Metallurgical Engineering
• Materials Science
• Sustainable Manufacturing
• +3 more

Seyedshahabaddin Mirjalili is an Assistant Professor in Fluid Mechanics at the Department of Engineering Mechanics, KTH Royal Institute of Technology, Sweden. He is affiliated with the Swedish e-Science Research Center (SeRC) and Digital Futures at KTH. Education: BS in Mechanical Engineering from Sharif University of Technology, MS and PhD in Mechanical Engineering from Stanford University. Former Positions: Research Associate (2022–2024) and Postdoctoral Fellow (2019–2022) at Stanford University. His research spans fluid mechanics, scientific computing, and machine learning, focusing on computational methods for multi-physics, multi-phase, and multi-scale flows. Applications include propulsion systems, additive manufacturing, biophysical systems, and environmental flows. He develops conservative phase field models, energy-preserving numerical schemes, and physics-informed machine learning frameworks for high-fidelity simulations and reduced-order modeling. Recent work involves inverse asymptotic treatments for discontinuities, microbubble dynamics in breaking waves, and energy-conserving momentum transport in two-phase flows. His methods emphasize boundedness, conservation properties, and reduced spurious currents in numerical simulations. Scientific Awards: Gallery of Fluid Motion Award (2018) from the American Physical Society Division of Fluid Dynamics He contributes to software initiatives under SeRC and collaborates on high-performance computing (HPC) applications. His teaching includes courses like Particle Dynamics (SG1115).

• Fluid Mechanics
• Scientific Computing
• Machine Learning
• +7 more