Torbjörn Thiringer is a Professor in Electrical Engineering at Chalmers University of Technology. His research focuses on electrical systems for wind turbines and electric vehicles, with particular emphasis on system-level analysis and component-level studies of electrical machines, power electronics, and battery systems. Key research areas: Wind turbine systems, Electric vehicle drives, Battery degradation, Power electronics optimization Recent work explores graphene-based thermal management, fuel cell hybrid vehicles, and direct current building distribution efficiency His publications demonstrate interdisciplinary engagement with topics spanning: Finite element analysis of motor designs Life cycle assessment of energy systems Thermal modeling of SiC inverters Wave energy converter optimization Core loss measurement techniques Hydrogen fuel cell integration Professor Thiringer's collaborations span multiple institutions and industry partners, focusing on both theoretical modeling and practical implementation of advanced energy systems.
Fang Liu is an Assistant Professor at Chalmers University of Technology, Department of Materials and Manufacturing. Her research focuses on uncovering the physical and chemical mechanisms in material systems such as high-temperature alloys, polymer composites, and semiconductors, using advanced microscopy and spectroscopy techniques. Specializes in structural battery composites, creep behavior, and high-temperature corrosion Collaborates with industry partners and theoretical researchers Develops reliable prediction tools for material performance Research Trends (2023–2025): Structural battery composites with carbon fibers and hybrid electrolytes Microstructural analysis via atom probe tomography and focused ion beam High-temperature oxidation and corrosion resistance Mechanical-electrochemical coupling in multifunctional materials Key Collaborations : Leif Asp (Chalmers), Johanna Xu (Chalmers), Marcus Johansen (Chalmers) Industry partners: Office of Naval Research, VINNOVA, Wallenberg AI Program
Mats Leijon is Professor of Electrical Engineering at Uppsala University, Sweden. His work centers on renewable energy systems, particularly wave and marine current energy conversion, with a focus on direct-driven linear generators, power electronics, and grid integration. He has led projects at the Lysekil Research Site, Sweden, and contributed to experimental hydrokinetic power stations like the Söderfors Project. Key Affiliations: Department of Electrical Engineering, Uppsala University; Ångström Laboratory; Lysekil Research Site. Research Interests span wave energy converter design, electromagnetic systems, control strategies for renewable energy, and marine substation technology. He explores: Hydrodynamic and electromagnetic modeling of point-absorbing wave energy devices Power optimization via resonance circuits and predictive control Robotized manufacturing for electric machines Publication Trends highlight collaborations on Wave Energy Converters , Marine Current Turbines , and Three-Level Inverter Systems , with applications in the Baltic Sea and Norwegian fjords. His work addresses extreme wave survivability, power fluctuation reduction, and environmental impact assessments. Grants and Projects include offshore wave energy deployments, thermal rating of submerged substations, and experimental validation of marine power systems. He has advised on robotics for cable winding and stator slot geometry optimization. Labs and Teams operate at the Ångström Laboratory and Lysekil Research Site, focusing on full-scale offshore experiments, CFD simulations, and grid-connected marine substations.
Emil Björnson is a Professor of Wireless Communications and Head of the Communication Systems Department at KTH Royal Institute of Technology since 2024. He received his Master of Science in Engineering Mathematics from Lund University (2007) and PhD in Telecommunications from KTH (2011). After postdoctoral work at SUPELEC, France (2012-2014), he held faculty positions at Linköping University (2014-2021) before returning to KTH in 2020. Research Focus: MIMO communications, reconfigurable intelligent surfaces, radio resource allocation, machine learning for communications, and energy efficiency Editorial Roles: Editor for multiple IEEE transactions and magazines His research has significantly advanced wireless communication technologies, particularly in Massive MIMO and cell-free systems. He has authored four textbooks, including Massive MIMO Networks (2017) and Introduction to Multiple Antenna Communications and Reconfigurable Surfaces (2024). Scientific awards include: IEEE Fellow Clarivate Highly Cited Researcher Wallenberg Academy Fellow Digital Futures Fellow Multiple IEEE and EURASIP awards (2014-2024)
Fredrik N G Andersson is an Associate Professor at the Department of Economics, Lund University School of Economics and Management. His research focuses on macroeconomics, climate policy, environmental economics, fiscal policy, and economic history. He is a profile area member of the Lund University 'Nature-based future solutions' initiative. His research interests include analyzing the intersection of economic policies with climate change, inequality, and historical socioeconomic trends. Notable areas of work include the impact of fiscal frameworks, monetary policy effectiveness, and corporate climate adaptation strategies. He has contributed to over 160 publications, including peer-reviewed articles, policy reports, and consultations for Swedish governmental bodies. Key themes in his recent work include decarbonization pathways, pandemic policy evaluations (e.g., Sweden's lockdown strategies), and the implications of climate policies for industries. His work often bridges theoretical economics with practical policy design, emphasizing evidence-based decision-making. Andersson has advised on major policy reforms, such as evaluations of the Swedish fiscal framework and central bank policies. He frequently engages in public discourse through newspapers like Svenska Dagbladet and Dagens Industri, discussing topics like inflation targeting, climate neutrality, and industrial policy.
Giovanni Forchini is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Umeå University, Sweden. His research focuses on econometrics, panel data analysis, and their applications in health economics and epidemiological modeling. He holds the title of Docent, a Swedish academic qualification reflecting advanced expertise. His work bridges theoretical econometrics with practical policy analysis, particularly in pandemic preparedness and healthcare optimization. Research Themes: Econometric methodologies for panel data and structural equation models Quantifying pandemic impacts on healthcare systems and economies Optimization of resource allocation during public health crises Key Contributions: Developed the DAEDALUS model for integrated economic-epidemiological policy simulations Analyzed SARS-CoV-2 transmission dynamics and vaccine impact in multiple countries Pioneered statistical methods for handling multifactor structures in panel data Awards & Grants: USBSE Pedagogical Prize 2020 Funding from Forte (Swedish Research Council for Health, Working Life and Welfare) and Handelsbanken Teaching & Mentorship: Coordinates Master’s theses in Economics at USBSE Teaches advanced courses like Econometrics 1 & 2 and Analysis of Financial Data
Per-Olov Östberg is an Associate Professor at the Department of Computing Science, Umeå University, and a research leader in the Autonomous Distributed Systems Lab (ADSLab). His work focuses on resource management for distributed cloud environments using AI/ML-based techniques, with a particular emphasis on ethical reasoning integration for responsible AI solutions. Research Themes: Cloud-edge continuum optimization, serverless frameworks, 6G computing challenges, data fabric architectures, and energy-aware systems Projects: COGNIT (cognitive serverless framework), WARA Common Information Bridge (data-driven cloud operations), De facto Center of Excellence in Autonomous Distributed Systems His publications (2011-2024) demonstrate consistent contributions to cloud resource management, including fairshare scheduling, decentralized prioritization, and power-performance tradeoffs. He has collaborated on interdisciplinary projects with institutions across Europe. Scientific Awards: None explicitly stated in provided information.
Isaac Taylor is a Lecturer in the Department of Philosophy at Stockholm University. His research intersects political philosophy, ethics, and emerging technologies, with a focus on AI accountability, counterterrorism ethics, and public goods theory. Research Interests: AI ethics and autonomous systems governance Counterterrorism moral frameworks Public goods and distributive justice Security policy and just war theory Recent Publication Trends: His 2025 work explores AI agency and explainability. Earlier studies analyze collective responsibility for autonomous weapons, algorithmic sentencing limits, and minimalist approaches to conflict resolution.
Joakim Jaldén is a Professor at the Division of Information Science and Engineering, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. He holds a Ph.D. in Electrical Engineering from KTH (2007) and completed post-doctoral studies at Vienna University of Technology (2007-2009). With affiliations at Stanford University and ETH Zürich, his academic journey reflects global expertise. 2002: M.Sc. in Electrical Engineering, KTH 2007: Ph.D. in Electrical Engineering, KTH 2007-2009: Post-Doctoral Researcher, Vienna University of Technology Jaldén's research spans Signal Processing , Wireless Communications , and Biomedical Data Analysis . He pioneered MIMO communications and later developed ELISpot/FluoroSpot analysis algorithms commercialized by Mabtech AB. His work on cell migration tracking (IEEE ISBI 2012) and distributed optimization (ECO-PANDA method) demonstrates interdisciplinary impact. Key publication trends include Hidden Markov Models for DNA sequencing, Reinforcement Learning in communication systems, and Low-Complexity Beamforming for MU-MIMO networks. His 2024 work on mmWave MIMO beam coherence showcases continued leadership in wireless channel modeling. Scientific recognition includes: IEEE Signal Processing Society 2006 Young Author Best Paper Award Ingvar Carlsson Career Award 2009 (Swedish Foundation for Strategic Research) IEEE ISBI 2012 Best Paper Award Bitplane Awards (2013-2015) for cell tracking challenges As Program Director of KTH's 5-year Electrical Engineering Degree Program (CELTE) since 2016 and Vice-Chair of EECS Faculty Board , Jaldén leads academic initiatives. His collaborations with industry (e.g., Mabtech AB) and roles as examiner for advanced courses in communication systems highlight his educational impact.
Thomas Jonsson is an Associate Professor at KTH Royal Institute of Technology in the Division of Electromagnetic Engineering and Fusion Science within the School of Electrical Engineering and Computer Science. His research focuses on fusion plasma physics with particular emphasis on modeling plasma heating, stability, and confinement. He is actively involved in studies of plasma heating by radio waves at the JET experiment in Oxford and serves as task coordinator for heating and current drive modeling within the EUROfusion Consortium. Jonsson's research interests span plasma physics, fusion energy, electromagnetic engineering, radio frequency heating, and computational plasma modeling. His work centers on the development and application of advanced computational methods for understanding wave-particle interactions in fusion plasmas, particularly ion cyclotron resonance heating (ICRH) techniques. He investigates plasma stability mechanisms, confinement properties, and heating optimization strategies for tokamak devices, with direct applications to ITER and future fusion reactors. His research bridges theoretical modeling with experimental validation at major international facilities. Analysis of Jonsson's recent publications reveals a strong focus on computational methods for radio frequency wave propagation in tokamak plasmas, disruption prediction techniques, and experimental validation of heating schemes. His work demonstrates increasing sophistication in modeling approaches, with growing integration of machine learning techniques for plasma control. The research spans fundamental plasma physics to applied engineering solutions for fusion reactors, with particular attention to ITER-relevant scenarios and DEMO design considerations. As an educator, Jonsson teaches a range of courses including Plasma Physics (EF2200), Electromagnetic Waves in Dispersive Media (ED2210), and Project in Fusion Research (ED2247), serving as examiner and course responsible for several advanced courses. His teaching spans both Master's level courses in electromagnetic theory and plasma physics, as well as specialized PhD courses on charged particle motion, plasma waves, and fusion research. Jonsson maintains active collaborations with major European fusion research institutions, particularly through the EUROfusion Consortium, and contributes to the JET experimental program. His work supports the international effort toward practical fusion energy by addressing critical challenges in plasma heating and stability for next-generation fusion devices.
Alex Enrich Prast is a Professor in Theme Environmental Change at Linköping University (LiU), Sweden, with a research focus on biogeochemistry, particularly in Amazon forest ecosystems and biogas production. His work bridges environmental science with practical applications for climate change mitigation and sustainable resource management. Dr. Prast's research interests center on biogeochemical cycles in tropical ecosystems, with special emphasis on methane emissions from Amazonian forests, nitrogen transformations in soil, and biogas production technologies. His work has revealed significant insights into how trees in the Amazon contribute to methane emissions and carbon cycling, challenging previous assumptions about forest-atmosphere interactions. He investigates the role of different management strategies on gas emissions and ecosystem services in the Amazon region, working in collaboration with communities in the Mamirauá reserve in Brazil. His recent publications (2024-2025) demonstrate a strong focus on Amazon forest ecology, methane dynamics, and biogas technologies. These works reveal patterns in nitrogen transformations across Amazon forests, identify significant methane emissions from Amazonian trees that rival global oceanic emissions, and explore innovative approaches to enhance biogas production from various feedstocks. His research shows an interdisciplinary approach combining field measurements, laboratory analyses, and modeling to address complex environmental challenges. Dr. Prast is actively involved in two major research initiatives: the Sustainable Management of Amazon Forests project, which examines how different management strategies affect gas emissions and ecosystem assimilation in the Amazon region, and the Biogas Solutions Research Center (BSRC), a national competence center administered by Linköping University that develops innovative and resource-efficient biogas solutions with positive environmental and economic impacts.
Dr. Muhammad Usman is a Senior Lecturer at the Department of Mathematics and Computer Science, Karlstad University, Sweden. His research focuses on cloud and edge computing, distributed systems, performance observability, DevOps automation, and networked systems. He holds a B.S. from NUST (Pakistan), and integrated M.S./Ph.D. from GIST (South Korea). He teaches master's-level courses in Distributed Systems and Cloud Computing. His research interests include optimizing container orchestration for edge-IoT workloads, developing AI-driven frameworks for industrial IoT (e.g., AIDA), and enhancing observability of distributed systems through frameworks like DESK and SmartX. His work often addresses challenges in resource efficiency, scalability, and fault detection in edge and cloud environments. Notable contributions include benchmarking lightweight container orchestration platforms, designing cost-effective testbeds for DevSecOps, and creating visualization frameworks for SDN-enabled clouds. His publications span topics from IIoT lifecycle management to intent-based network control. Usman actively collaborates internationally, with projects involving institutions like GIST, Aalto University, and the IEEE community. His work bridges theoretical research and practical applications in edge computing and cloud-native systems.
Anton Cervin is a Senior Lecturer (on Leave of Absence) at the Department of Automatic Control, Lund University. He is affiliated with the LTH Profile Area: AI and Digitalization. His roles include Director of First and Second Cycle Studies, Deputy Head of the Department (2019–2022), and Director of the China Profile at LTH (2008–2012). Research focuses on real-time systems, control over cloud platforms, event-based control, and cyber-physical systems. Key projects include the Swedish Research Council-funded 'Event-Based Control of Stochastic Systems' and WASP-supported 'Event-Based Information Fusion for Self-Adaptive Cloud'. Developed software tools: TrueTime (real-time simulator), JitterTime, Jitterbug, and TinyRealTime. Recognized with multiple Best Paper Awards at ECRTS, RTNS, and RTCSA conferences. Supervised over 5 PhD students in real-time control and embedded systems. Teaching includes advanced courses on automatic control, systems engineering, and real-time systems. His work aligns with UN SDG 9 (Industry, Innovation, and Infrastructure) through contributions to smart infrastructure and cloud-based control systems.
Elena Troubitsyna is a Professor of Computer Science with specialization in Software Engineering at KTH Royal Institute of Technology. Her research focuses on developing dependable, autonomous systems that ensure safety and reliability, particularly in complex environments like self-driving cars and drones. She employs rigorous mathematical modeling and verification techniques to address system complexity and real-time adaptability challenges. Her work emphasizes the co-engineering of safety and security in cyber-physical systems, integrating formal methods such as Event-B modeling with AI-driven solutions. Key research areas include cybersecurity for embedded systems, formal analysis of safety-security interactions, and resilient multi-agent systems. Elena has contributed to advancing methods for autonomous system navigation, fault tolerance, and privacy-preserving microservices architectures. Elena has organized international workshops like SENSEI (Safety-Security Interaction) and published extensively on topics such as model-driven engineering, formal verification of critical systems, and optimizing scheduling for distributed computing. Her research bridges theoretical foundations with practical applications, aiming to enhance societal trust in autonomous technologies.
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.
