Find Academic Supervisors

Mattias SeverinView profile

Associate Professor

• Physics at Extreme Conditions
• Theoretical Physics
• Materials Science
• +3 more

Mattias Severin is an Associate Professor at Linköping University's Department of Physics, Chemistry and Biology (IFM), part of the Faculty of Science and Engineering. His research focuses on physics at extreme conditions (TEPEC), theoretical physics (TEOFY), and materials science. He combines computational modeling with experimental studies to explore topics such as lightning damage in composite materials, electromagnetic hazards in aerospace systems, and quasicrystalline structures. Research interests include theoretical physics fundamentals and applied materials science, with notable work on polymer electronic properties and aperiodic crystal behavior. His recent studies address safety-critical systems like aircraft communication and lightning protection. Earlier work explored quasicrystals' optical and electronic properties, contributing to foundational understanding of non-periodic materials. No scientific awards or major grants are listed in the provided texts. While no student advisees are explicitly mentioned, his role in undergraduate teaching and research supervision at IFM is noted. Collaboration with EU projects like EM-Haz highlights his engagement in applied safety research. He is affiliated with the Theoretical Physics and Physics at Extreme Conditions research groups at Linköping University.

Kamal RezkView profile

Senior Lecturer

• Computational Fluid Dynamics (CFD)
• Environmental Engineering
• Energy Systems Optimization
• +6 more

Kamal Rezk is a Senior Lecturer in Environmental and Energy Systems Research at Karlstad University, Sweden. His academic journey includes roles such as Lecturer (2011), Associate Senior Lecturer (2014–2020), and his current Senior Lecturer position since 2020. He holds a PhD in Environmental and Energy Systems from Karlstad University (2014), a Licentiate of Engineering (2010), and prior industry experience as a Blade Designer at Kongsberg Maritime (2019) and Rolls Royce Marine (2017). His research focuses on computational fluid dynamics (CFD) modeling for optimizing energy and environmental systems, particularly in heat/mass transfer, dewatering processes in papermaking, and wastewater oxygenation. Teaching spans fluid mechanics, systems analysis, and computational methods at undergraduate and graduate levels, with annual supervision of bachelor’s and master’s theses. Rezk’s publications (2007–2024) emphasize CFD applications in industrial processes, including bubble column oxygen transfer, paper drying simulations, and heat exchanger design. His work bridges academic research with practical industry challenges, emphasizing energy efficiency and sustainability.

Markus RinioView profile

Professor

• Renewable Energy
• Solar Cell Technology
• Photovoltaics
• +4 more

Markus Rinio is a **Professor in renewable energy - solar cells** at **Karlstad University** since 2012 and leads the **silicon solar cell research group**. He specializes in investigating defects in silicon solar cells, particularly their impact on performance, and employs advanced techniques like high-resolution 2D mapping (LBIC, dislocation density mapping) and automatic image analysis. His work focuses on next-generation solar cell structures, including defect engineering and material optimization. Education: PhD in Physics: *Untersuchung der prozessabhängigen Ladungsträgerrekombination an Versetzungen in Siliziumsolarzellen* (2004), TU Freiberg. Research Interests: His research spans renewable energy, photovoltaic materials, and semiconductor physics. Key areas include: Defect characterization in multicrystalline silicon solar cells High-resolution imaging techniques (e.g., LBIC, µ-XRF) Material optimization via low-temperature annealing and hydrogen passivation Collaborations with institutions like Fraunhofer ISE (Germany), SINTEF (Norway), and MIT (USA). Publications: Rinio has published extensively on solar cell defects, material characterization, and process optimization. Recent work focuses on software tools (e.g., PVcheck) for system analysis and defect etching protocols. Grants & Projects: Current project: BUSSARD - Busbarless solar cells with passivated contacts for Next Gen Module Integration . Multiple externally funded initiatives on silicon solar cell improvements and defect mitigation. Labs/Teams: He leads the silicon solar cell research group at Karlstad University, collaborating with global partners to advance photovoltaic technologies.

Eddie WadbroView profile

Professor

• Topology Optimization
• Inverse Problems
• Large-Scale Optimization
• +7 more

Eddie Wadbro is a Professor of Mathematics at Karlstad University , Sweden. His research focuses on design optimization , inverse problems , and large-scale computational methods , with applications in acoustic device design , fluid dynamics , and mechanical engineering . He leads projects in topology optimization of antennas, loudspeakers, and acoustic systems, often involving multi-physics simulations. Key contributions include: Development of minimum-size control techniques for topology optimization Investigation of waveguide acoustic black holes for enhanced wave focusing Optimization of superhydrophobic surfaces to delay turbulent transition in boundary layers Integration of deep reinforcement learning for real-world control systems His work bridges applied mathematics and engineering , with publications in high-impact journals and collaborations across disciplines like computational fluid dynamics and machine learning.

Krister WiklundView profile

Associate Professor

• Biophysics
• Biophotonics
• Microbiology
• +4 more

Krister Wiklund is an Associate Professor at the Department of Physics, Umeå University, Sweden, affiliated with the Biophysics and Biophotonics group. His research focuses on interdisciplinary studies at the intersection of physics, biology, and engineering, emphasizing applications in biophotonics, microbiology, and medical technology. He holds a recognized qualification as a university teacher, contributing to both research and education. Key research areas include biofilm engineering, optical tweezers-based single-cell analysis, fluid dynamics of microbial systems, and development of advanced imaging and tracking technologies. His work involves 3D printing applications for bioreactors, biocompatible materials, and computational modeling of cellular interactions. Collaborative projects often bridge fundamental physics with clinical and industrial applications. Publications highlight innovations such as the 3D-printed biofilm incubation platform, dynamic segmentation algorithms (DSeg), and MATLAB-based particle tracking software (UmUTracker). His contributions to understanding bacterial adhesion mechanics and spore resilience have advanced methodologies in microbiology and biotechnology. Current affiliations include active participation in the Biophysics and Biophotonics research group at Umeå University, where he leads or co-leads projects involving cell mechanics, biomaterials, and diagnostic tools. His lab integrates experimental physics with biological systems, fostering interdisciplinary collaborations.

Magnus AnderssonView profile

Professor

• Biophysics
• Biophotonics
• Microfluidics
• +6 more

Magnus Andersson is a Professor at Umeå University's Department of Physics and Head of the Biophysics and Biophotonics research group. His work focuses on developing photonic tools for studying biological systems, particularly bacterial spores and pathogenic mechanisms. Research emphasizes optical tweezers, microfluidics, and advanced imaging techniques like digital holography. Key qualifications include Docent status and recognition as a university teacher. Current research projects include light harvesting in coralline algae and non-invasive detection of toxic biological substances. His lab has pioneered 3D-printed experimental platforms for biofilm studies and antimicrobial resistance analysis. Publications highlight innovations in SERS-based pathogen detection, bacterial adhesion pili mechanics, and optical tweezers applications. Awards include the UCMR PI appointment in 2022. Ongoing work addresses spore disinfection resilience, antibiotic resistance spread via F-pili, and neural regeneration using bioprinted stem cell cultures.

Mikael LundbäckView profile

Researcher

• Forest Engineering
• Automation in Forestry
• Machine Learning Applications
• +3 more

Mikael Lundbäck is a Researcher and Postdoctoral Fellow at the Department of Physics, Umeå University, affiliated with the UMIT Research Lab. His work focuses on automation, machine learning applications, and sustainable forest operations. Current projects include the Mistra Digital Forest initiative (2019–2026) and contributions to the Technodiversity e-learning platform for harmonizing forest engineering education across Europe. Research interests include optimizing harvesting systems, tele-extraction technologies, and autonomous machinery through data-driven approaches. He collaborates with institutions like the Faculty of Forestry and Wood Technology, Zagreb University, and contributes to conferences such as IUFRO World Congress. His publications analyze productivity, cost efficiency, and terrain adaptability in forestry machinery, with a focus on deep learning, simulation models, and open data sharing. Lundbäck leads the Digital Physics group and actively participates in COFE, FORMEC, and IUFRO research networks. His work bridges technical innovation with practical forestry challenges, emphasizing global trends and economic feasibility.

Andreas ÖjehagView profile

Senior Lecturer

• Political Science
• Public Procurement
• Marketization of Public Sector
• +4 more

Andreas Öjehag is a Senior Lecturer in Political Science at Karlstad University, Sweden. His research focuses on power dynamics in governance, particularly the marketization of public sectors, public procurement, and the impact of automated systems (AI/big data) on societal control. He actively contributes to both academic and public discourse, publishing in journals like Environment and Planning C and co-authoring accessible works such as Trängd demokrati (2022). His academic career includes supervising two ongoing PhD projects and numerous bachelor/master theses. He teaches political theory, research methods, and serves as course coordinator at undergraduate and master's levels. His PhD courses attract students across disciplines nationally. Notably, his 2015 doctoral thesis on regional development was a runner-up for the Regional Studies Association's best thesis award. Öjehag's recent work explores technological governance through automated systems (ASG), examining how AI and big data reshape bureaucratic practices. He also investigates gender equality in AI policy frameworks and GDPR's limitations in protecting democratic principles. His research bridges critical political theory with empirical analysis of contemporary governance challenges.

Zuzana OntkovičováView profile

Research Fellow

• Fuzzy Logic
• Computational Mathematics
• Information Theory
• +4 more

Zuzana Ontkovičová is a postdoctoral researcher affiliated with the Department of Computing Science at Umeå University . Her work focuses on computational mathematics and fuzzy logic systems. Position: Research Fellow (postdoctoral) Location: MIT-huset, Room MIT.A.430, Umeå University Research Focus : Non-additive measures and Choquet integrals Fuzzy entropy and uncertainty management Mathematical foundations of information processing Current Projects : Identification and analysis of non-additive measures (2024-2025) Conference Participation : Presented at IPMU 2024 (Lisbon) Contributed to EUSFLAT 2025 (Riga) MDAI 2024 (Tokyo) proceedings Research Groups : Member of NAUSICA privacy-aware transparent decision-making group

Stefan SkareView profile

Adjunct Professor

• Radiology
• Medical Imaging
• MRI Physics
• +5 more

Stefan Skare is an Adjunct Professor at the Department of Clinical Neuroscience, Karolinska Institutet (2022–2026), with a primary role as MR Physicist at Karolinska University Hospital. His research focuses on developing ultrafast MRI techniques and real-time motion correction systems to enable anesthesia-free MRI for pediatric patients . He leads a research group collaborating with GE Healthcare and Karolinska University Hospital engineers, creating globally adopted tools like NeuroMix and KS Foundation for simplified MRI programming. Doctor of Philosophy, Karolinska Institutet (2002) Recipient of Swedish Childhood Cancer Fund grant (SEK 3.9M over 3 years) for motion-robust MRI in pediatric oncology His work addresses critical challenges in neuroradiology , including reducing scan times from 20–30 minutes to under 3 minutes via proprietary software while maintaining diagnostic quality. Key innovations include: Tracoline : Real-time optical motion tracking for head movement compensation WRAD : Wireless RF sensor for 3ms latency motion correction Snapshot SWI-EPI : Motion-boosted susceptibility imaging NeuroMix : Single-scan, multi-contrast brain exams Scientific contributions span diffusion-tensor imaging , fat/water separation algorithms , and 3D volumetric analysis , with over 20 publications since 2020. His methods have been implemented in clinical settings worldwide, reducing sedation risks and healthcare system burdens.

Hanna ErikssonView profile

Associate Professor

• Cancer and Oncology
• Melanoma Research
• Translational Medicine
• +4 more

Hanna Eriksson is an Associate Professor at the Department of Oncology-Pathology, Karolinska Institutet , where she leads the Clinical and Translational Melanoma Research Group. Her work bridges clinical decision-making and translational research, leveraging large-scale register data, artificial intelligence, and multi-omics analyses within clinical trials. Her research focuses on: Immune-tumor microenvironment interactions Overcoming immunotherapy resistance Real-world melanoma treatment outcomes Gender differences in immunotherapy side effects Development of quality of life modules for advanced melanoma Key trends in her 2025–2021 publications include tumor heterogeneity in brain metastases, adjuvant immunotherapy optimization, plasma proteomics, and biomarkers for immune checkpoint inhibitors. Her group explores AI integration in diagnostics and precision medicine strategies. She supervises PhD students and postdocs, and has secured grants from: Swedish Research Council Swedish Cancer Society Horizon 2020 (GenderNet-Plus) Radiumhemmet Research Funds Stockholm Regional Council Karolinska Institutet Translational Seed Funding Her team collaborates on trials like G-DEFINER (gender-specific immunotherapy toxicities) and AIDMel (AI in melanoma diagnostics), emphasizing real-world data and multi-omics approaches.

• Cancer Research
• Precision Medicine
• Hematology
• +3 more

Tom Erkers is an Assistant Professor at the Department of Oncology-Pathology, Karolinska Institutet, leading the Functional Systems Oncology team. His research focuses on functional precision medicine and molecular profiling in blood cancers, particularly acute myeloid leukemia (AML) and pediatric acute lymphoblastic leukemia (ALL). University: Karolinska Institutet Department: Department of Oncology-Pathology Academic Rank: Assistant Professor (2020-2024) Research Interests: His work explores cancer cell behavior, treatment resistance, and immune interactions in hematologic malignancies. Key areas include: Functional precision medicine (fPM) Multi-omics integration for therapeutic targets Drug synergy prediction models Radiotherapy and autophagy inhibition strategies Immune tolerance mechanisms in transplantation Publications Trends: Recent articles emphasize: Ex vivo sample handling impacts on precision medicine reliability Computational models for drug combinations in AML Targeting SAMHD1 and BCLxL in leukemia iNKT cell heterogeneity in autoimmune contexts Molecular hallmarks of hematologic cancers Team Members: Collaborators include PhD students Lucía Rico Pizarro and Nona Struyf, postdoctoral researcher Flora Mikaeloff, and multidisciplinary scientists across the Kallioniemi group.

• Functional Programming
• Domain-Specific Languages
• Climate Impact Research
• +7 more

Patrik Jansson is a Professor of Computer Science at Chalmers University of Technology since 2011, with joint affiliation to Gothenburg University. His work bridges Functional Programming, Domain-Specific Languages (DSLs), and applications to Climate Impact Research, Fusion, and Physics.

Yi WangView profile

Professor

• Embedded Systems
• Real-Time Systems
• Real-Time Scheduling
• +7 more

Yi Wang is a Professor of Embedded Systems at the Department of Information Technology, Uppsala University , Sweden. He leads research in real-time and embedded systems with a focus on modeling, analysis, and implementation of safety-critical applications. He is affiliated with the Embedded Systems Group and serves as a Principal Investigator (PI) in major research centers such as UPMARC and projects like CUSTOMER (ERC Advanced Grant), CoDeR-MP, and CERTAINTY. Research Interests: Yi Wang’s work centers on Embedded Systems Design, Real-Time Scheduling, Multicore Programming, and Model-Checking of Real-Time Systems . His research addresses fundamental challenges in timing predictability, schedulability analysis, and the verification of complex real-time systems. He has made significant contributions to the digraph real-time task model, mixed-criticality systems, and timing analysis of ROS 2 systems. His work bridges theory and practice, often resulting in deployable tools and formal methods for industrial applications. Recent Research Trends: His most recent publications (2023–2025) focus on optimizing real-time performance in ROS 2, managing parallel task graphs with resource contention, improving GPU-based inference on embedded platforms, and enhancing timing predictability in multithreaded executors. These works reflect a strong trend toward applying formal real-time theory to modern robotics, AI integration, and multicore embedded architectures. Scientific Tools and Leadership: He is a key contributor to foundational tools in real-time systems: UPPAAL – Model checking for timed automata TIMES – Schedulability analysis and code generation CATS – Compositional analysis of timed systems TIMES-Pro – Based on the digraph real-time task model Advising and Research Funding: Yi Wang has supervised numerous PhD students and postdocs. He has led or participated in multiple large-scale funded projects supported by the Swedish Research Council (VR), the Swedish Foundation for Strategic Research (SSF), and the European Commission (FP7, ERC). These include UPMARC (10-year Linnaeus center), CoDeR-MP (with ABB and SAAB), SAVE++ (with VOLVO), and CREDO. Laboratories and Research Groups: He is a core member of the Embedded Systems Group at Uppsala University and leads research within the UPMARC center, which focuses on programming models and analysis techniques for multicore architectures. His lab develops formal methods and tools to ensure correctness and timing guarantees in embedded and cyber-physical systems.

Anders YnnermanView profile

Professor

• Scientific Visualisation
• Artificial Intelligence
• Machine Learning
• +5 more

Anders Ynnerman is a Professor of Scientific Visualisation at Linköping University, specializing in leveraging visualization for data exploration, human-computer interaction, and bridging scientific communication between experts and the public. His research focuses on transforming massive datasets into interpretable visual representations, spanning scales from cellular molecules to cosmic structures, while advancing transparency in AI systems through visualization. Institution: Linköping University Award: Wallenberg Scholar Ynnerman leads efforts within the Wallenberg AI Autonomous Systems and Software Program (WASP) to integrate human-centric design into autonomous systems, emphasizing visual interfaces for bidirectional human-machine feedback. His work targets demystifying AI algorithms by visualizing training data and neural network structures, enabling better understanding and refinement of machine learning processes.