Find Academic Supervisors

• Condensed Matter Physics
• Materials Science
• Quantum Physics
• +6 more

Anna Delin is a Full Professor at KTH Royal Institute of Technology since 2011, leading research on magnetic and quantum phenomena in materials. She heads the WISE research school (wise-materials.org) and served as Deputy Head of the School of Engineering Sciences (SCI) from 2018–2022. Her expertise spans condensed matter physics, with a focus on nanomagnetism, skyrmions, spin-lattice couplings, and topological materials. Education: PhD in Condensed Matter Physics from Uppsala University (1998). Key awards include Naturvetarpriset (1998), Royal Swedish Academy of Sciences Research Fellowship (2007), Thuréus Prize (2018), and Edlundska Prize (2024). She has held visiting roles at ICTP, Los Alamos National Lab, and the Fritz Haber Institute. Research interests include magnetic skyrmions, magnonics, spintronics, and ultrafast demagnetization. Recent publications focus on spin-lattice dynamics, topological materials, and quantum analogs of classical magnetic models. Her work bridges theory and experiment, with contributions to tools like SpinView for computational magnetism analysis. Teaching includes roles as examiner for the Degree Project in Applied Physics and teacher for Sustainable Development in Engineering Physics. She actively participates in materials design initiatives and semantic data processing for big research data. Lab affiliations include her own research group at KTH and collaborations through WISE. Current projects explore skyrmion stabilization, magnon entanglement, and quantum spin systems, with implications for next-generation spintronic devices.

Xiaoming HuView profile

Professor

• Multi-agent systems
• Nonlinear control systems
• Systems theory
• +4 more

Xiaoming Hu is a Professor at the Division of Numerical Analysis, Optimization and Systems Theory within the Department of Mathematics at KTH Royal Institute of Technology (Kungliga Tekniska Högskolan) in Stockholm, Sweden. Born in Chengdu, China, he received his B.S. degree from University of Science and Technology of China in 1983, followed by M.S. and Ph.D. degrees from Arizona State University in 1986 and 1989 respectively. After serving as a research assistant at the Institute of Automation, Chinese Academy of Sciences (1983-1984), he was a Gustafsson Postdoctoral Fellow at KTH (1989-1990) before becoming a faculty member. His educational background includes: B.S. in Engineering, University of Science and Technology of China, 1983 M.S. in Engineering, Arizona State University, 1986 Ph.D. in Engineering, Arizona State University, 1989 Xiaoming Hu's research primarily focuses on multi-agent systems, nonlinear feedback stabilization, nonlinear observer design, and sensing and active perception. His work bridges theoretical control theory with practical applications in robotics and autonomous systems. He has made significant contributions to geometric control theory, mathematical systems theory, and nonlinear systems analysis and control. His research often involves developing theoretical frameworks for distributed control, formation control, and cooperative behavior in multi-robot systems. Professor Hu's publication record shows a consistent research trajectory with numerous high-impact publications in top-tier journals like Automatica, IEEE Transactions on Automatic Control, and Systems & Control Letters. His research has evolved from fundamental control theory to more applied problems in robotics and multi-agent systems, while maintaining strong mathematical foundations. Recent work shows increasing focus on safety-critical control, inverse problems in estimation, and networked systems. His scientific contributions include: Development of theoretical frameworks for multi-agent coordination and formation control Advances in nonlinear observer design for robotic systems Contributions to geometric control theory and systems theory Research on distributed estimation and control algorithms Applications of control theory to robotics and autonomous systems Professor Hu teaches several advanced courses including Mathematical Systems Theory, Geometric Control Theory, and Nonlinear Systems: Analysis and Control. He has supervised numerous degree projects at both undergraduate and graduate levels in mathematics, optimization, systems theory, and scientific computing. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of control theory.

Hedvig KjellströmView profile

Professor

• Computer Vision
• Artificial Intelligence
• Human-Computer Interaction
• +6 more

Hedvig Kjellström is a Professor at the Division of Robotics, Perception and Learning within the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology. She holds significant affiliations with the Swedish e-Science Research Centre and the Max Planck Institute for Intelligent Systems in Germany. Her work spans multiple interdisciplinary domains and she serves as Editor-in-Chief for CVIU and was Program Chair for CVPR 2025. Her research centers on Computer Vision as a sub-field of AI, with three interconnected themes: Computational Aesthetics (exploring aesthetic aspects of human communicative behavior), Communicative Behavior (developing models of how humans and animals perceive and produce non-verbal communication), and Embodied Artificial Intelligence (creating methodologies for robots and autonomous agents to perceive the world through sensors, primarily vision). Her work has significant applications in medical diagnostics, animal welfare, human-robot interaction, and creative arts. Analysis of her recent publications reveals a strong trend toward multimodal AI systems that integrate vision, language, and action understanding. Her research increasingly focuses on animal-centered applications, particularly equine pain detection and behavior analysis, while maintaining strong foundations in human communication modeling, gesture recognition, and 3D reconstruction techniques. The interdisciplinary nature of her work bridges computer science with veterinary medicine, neuroscience, and performing arts. Hedvig Kjellström actively supervises numerous PhD and Master's students across various projects and maintains extensive collaborations with institutions including Karolinska Institutet, Swedish University of Agricultural Sciences, and international partners. Her research is supported by major funding bodies including WASP, VR, and SeRC. She leads or participates in several notable projects including OrchestrAI (communication between conductor and orchestra), ANITA (Animal Translator), MARTHA (3D horse motion analysis), and STING (synthesis and analysis with transducers and invertible neural generators). Her work with ACAI (Animal Centered Artificial Intelligence), which she co-founded and directs, demonstrates her commitment to applying AI for animal welfare.

Cheuk Wai TaiView profile

Researcher

• Structure-Property Relationships
• Functional Materials
• Electron Microscopy
• +6 more

Cheuk Wai Tai is a Senior Staff Researcher at Stockholm University's Department of Environmental and Materials Chemistry since 2009. He manages the transmission electron microscopes and sample preparation equipment at the Electron Microscopy Center and serves as Section Editor for the Journal of Electronic Materials. His work focuses on quantitative structure characterization in functional materials research, particularly within nanoscience and nanotechnology contexts. Education: Ph.D. in Applied Physics, The Hong Kong Polytechnic University, 2004 M.Phil. in Applied Physics, The Hong Kong Polytechnic University, 2001 M.Sc. in Physics, The Chinese University of Hong Kong, 1998 B.Sc. (Hons) in Engineering Physics, The Hong Kong Polytechnic University, 1997 Dip. in Mechanical Engineering (Computer Aided Engineering), Institute of Vocational Education (formerly Haking Wong Technical Institute), Hong Kong, 1992 His research centers on structure-property relationships in functional materials through advanced electron microscopy techniques. Current specializations include Pair Distribution Function (ePDF) & Diffuse Scattering, Energy Materials characterization, and EM sample preparation methodology development. The group maintains strong focus on translating structural data into functional performance metrics for nanomaterials. Recent publications (2013-2019) demonstrate consistent emphasis on electron microscopy applications for energy storage materials (batteries, photocatalysts) and functional ceramics. Key trends include structural disorder analysis in piezoelectrics, development of quantitative TEM methods like SUePDF, and nanoscale characterization of electrocatalyst surface phases. His work bridges materials chemistry with advanced imaging techniques. Scientific recognition includes: Fellow of The Royal Microscopical Society (U.K.) Senior Member of IEEE Marie Curie Fellowship (2007-2009) from European Commission Sir Edward Youde Memorial Fellowship (2003/2004) from Hong Kong S.A.R. Government He teaches Solid State Chemistry (KZ7003) and leads Introduction to Analytical Electron Microscopy (KZ8009), having previously taught Advanced Transmission Electron Microscopy (KZ8010) before 2011. Major grants supporting his work include: "Quantitative structural characterisation using 3D electron-based pair distribution function" (Swedish Research Council) "A Multidimensional Toolkit for Modern Electron Microscopy" (Swedish Foundation for Strategic Research) "Mitigating Ni-rich Li-ion cathode side-reactions" (Swedish Energy Agency, Co-applicant) He leads the Cheuk-Wai Tai group within Stockholm University's chemistry department and oversees operations at the Electron Microscopy Center, where his team develops and applies advanced characterization techniques for functional materials research.

Michael FelsbergView profile

Professor

• Artificial Visual Systems
• Computer Vision
• Robot Vision
• +4 more

Michael Felsberg is a Professor and Head of Division at the Department of Electrical Engineering (ISY) at Linköping University, leading the Computer Vision Laboratory (CVL). His research focuses on artificial visual systems (AVS), including 3D computer vision, computational imaging, object tracking, and autonomous systems. He emphasizes HVS-inspired approaches to bridge the gap between human and machine vision capabilities. Notable achievements include over 20,000 citations (h-index 47), leadership roles in the Wallenberg AI, Autonomous Systems and Software Program (WASP), and recognition as Sweden’s top AI researcher by Vinnova. His work spans academic contributions, industry collaborations, and interdisciplinary projects like climate science applications of machine learning. Positions : WASP Executive Committee Member, WASP Area Cluster Leader for Machine Learning, and Vice-Head of Department (Electrical Engineering). Education : Extensive academic background in electrical engineering and computer vision (details not explicitly stated). Research trends in his articles reflect advancements in autonomous systems, multimodal AI, and robust vision models. His teams address challenges like object tracking, generative models for 3D simulation, and culturally diverse AI systems. Awards : Tracking Challenge Winner (OpenCV, 2015) Best Paper Awards (ICPR 2016, VISAPP 2021) Vinnova’s Highest-Ranked Swedish AI Researcher (2018) He advises numerous PhD students and oversees grants in WASP-funded initiatives. CVL collaborates on projects like disaster-response robotics and Berzelius supercomputer utilization for AI.

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

• Materials Science
• Metallurgy
• Ceramic Materials
• +3 more

Joakim Odqvist is a Professor and Head of Department at the Structures unit within the Royal Institute of Technology (KTH). He specializes in materials science, with a focus on phase separation in alloys, nanostructure evolution, and the mechanical behavior of advanced materials. His research integrates experimental techniques like small-angle neutron scattering and atom probe tomography with computational modeling to study materials such as stainless steels, cemented carbides, and cast irons. Odqvist teaches courses in ceramic materials, material design, and materials structures, mentoring students at both undergraduate and graduate levels. His work addresses challenges in corrosion resistance, fatigue, and additive manufacturing, contributing to the development of high-performance materials for industrial applications. Research Interests: Phase separation mechanisms, spinodal decomposition in Fe-Cr alloys, nanostructure evolution in duplex stainless steels, diffusion kinetics, and the application of statistical models to hydrogen diffusion. His studies often bridge fundamental material science with practical engineering solutions, emphasizing predictive simulations and material design. Recent Articles: His publications focus on controlling nanostructures in super duplex steels, functional gradient carbides, and statistical models for hydrogen diffusion. Key themes include optimizing heat treatments to mitigate embrittlement, understanding precipitation kinetics in additively manufactured materials, and leveraging phase field modeling to predict material behavior. These studies highlight his role in advancing materials for harsh environments, such as aerospace and energy sectors.

Harald RohracherView profile

Professor

• Sociotechnical transitions
• Climate change
• Sustainable development
• +9 more

Harald Rohracher is a Professor at the Department of Theme (TEMA) , Linköping University , affiliated with the Theme Technology and Social Change (THEME) . His research focuses on sociotechnical transitions for climate-neutral cities , examining energy systems, digitalization, and governance strategies. Grants: Formas, Horizon Europe, Vinnova Labs: STRIPE (Sociotechnical Research on Infrastructures, Politics, and Environment), Biogas Solutions Research Center Students: Adam Svensson, Stella Huang, Gavin Nilsson Lewis, Giorgi Kankia Rohracher investigates how households , social movements , and policy frameworks interact in transformative processes. His recent work explores smart grid politics , decentralized energy systems , and urban food digitalization , emphasizing power dynamics and governance experiments. He leads projects on transdisciplinary education for climate governance, positive energy districts , and collective experimentation across Sweden and Spain. His scientific grants highlight institutional support for sustainability research, while his research teams bridge academic, governmental, and civil society actors.

• Entrepreneurial Resilience
• Family Business
• Strategic Flexibility
• +7 more

Danilo Brozovic is a Senior Lecturer in Business Administration at the University of Skövde, specifically within the School of Business and the Department of Commerce and Entrepreneurship. He maintains his office in Room E219 and serves as a course coordinator for multiple undergraduate and graduate business courses, each carrying 7.5 credits. His academic work spans teaching, research, and project leadership within the business administration domain. Brozovic's research interests focus on entrepreneurial resilience, particularly in family businesses and small-to-medium enterprises (SMEs), strategic flexibility in business growth, value creation processes, and service ecosystems. He has extensively examined organizational resilience during crises, including the COVID-19 pandemic's impact on retail and tourism sectors. His work also explores sustainability in business models, food tourism, societal collapse scenarios, and the evolution of service systems. Brozovic employs diverse methodologies including literature reviews, scenario-based analyses, and empirical studies to investigate how organizations adapt to multiple crises and changing market conditions. His publication record demonstrates a strong trend toward interdisciplinary research connecting business administration with futures studies, sustainability science, and crisis management. Recent work shows increasing focus on entrepreneurial resilience in the face of multiple concurrent crises, with projects examining how SMEs navigate complex challenges. His research bridges theoretical frameworks like service-dominant logic with practical business applications, particularly in tourism, retail, and family business contexts. Brozovic leads the research project 'Entrepreneurial resilience in small and medium-sized enterprises in the face of multiple crises' (July 2023 - June 2025), which develops knowledge about how SMEs manage multiple concurrent crises. His collaborative approach is evident in numerous co-authored publications with researchers like Börje Boers, Marco Tregua, and Hiroaki Saito across various business disciplines.

Neda Haj HosseiniView profile

Senior Lecturer

• Biomedical Engineering
• Medical Imaging
• Artificial Intelligence in Healthcare
• +3 more

Neda Haj Hosseini is a Senior Lecturer and Associate Professor in Biomedical Engineering at Linköping University's Department of Biomedical Engineering (IMT) . She contributes to teaching courses like TBMT56 - Medical Technology and TBME08 - Biomedical Modeling and Simulation , while leading research initiatives in AI-driven cancer diagnostics and biomedical optics. Research Focus: Development of AI methods for cancer diagnostics, optical coherence tomography (OCT) applications, and fluorescence spectroscopy in surgical guidance Affiliations: Center for Medical Image Science and Visualization (CMIV) , Analytic Imaging Diagnostic Arena (AIDA) , Swedish Medical Technology Association Recent Research Trends demonstrate expertise in applying deep learning to: Pediatric brain tumor classification using multimodal imaging Optical biopsy techniques for intraoperative decision support Automated biomarker quantification in histopathology Medical imaging data integrity and algorithm validation Scientific Awards include grants from: Joanna Cocozza Foundation (2022) Swedish Childhood Cancer Foundation (2024) Academic Leadership involves mentoring students in projects such as: "Multiple Instance Attention-based Learning for Brain Tumor Classification" "Vision Transformers for Multiclass Brain Tumor Tissue Classification" "Reaction-diffusion Models for Image-driven Tumor Simulation"

Roger HerbertView profile

Senior Lecturer

• Hydrology
• Hydrogeology
• Biogeochemistry
• +9 more

Roger Herbert is a Senior Lecturer in Hydrology and Associate Professor in Biogeochemistry at the Department of Earth Sciences, Uppsala University, where he also serves as Director of the Civil Engineering program in Environmental and Water Engineering. His research is centered on biogeochemical processes in water-saturated systems, particularly focusing on denitrification in bioreactors, groundwater remediation, and contaminant transport in double porosity media. His research interests include: Denitrification in woodchip and biochar bioreactors Groundwater and mine drainage treatment Reactive transport modeling in porous media Arsenic speciation and uptake in plants Silica nanoparticle interactions in soil-plant-water systems Microbial controls on nitrogen cycling and greenhouse gas emissions His recent publications (2023–2025) demonstrate a strong focus on innovative bioremediation technologies for wastewater and mine drainage, particularly using biochar and woodchip systems. These works emphasize modeling, microbial ecology, and field-scale applications, showing a consistent trend toward sustainable and scalable solutions for water quality challenges in cold climates and industrial settings. Roger Herbert leads the EIT RawMaterials project NITREM, which aims to upscale bioreactor technology for the mining and quarrying industry. He has supervised or collaborated on numerous studies related to mine waste treatment and environmental impact mitigation. He is actively involved in collaborative research projects and has published extensively in high-impact journals such as Water Research , Journal of Environmental Quality , and Environmental Science & Technology . His work bridges experimental studies, field applications, and numerical modeling, contributing significantly to environmental engineering and hydrogeology.

• Thermodynamics
• Diffusion
• Phase Transformations
• +3 more

Powder Metallurgy (MH2100) and has expertise in computational materials science. His research emphasizes predictive modeling of material behavior, including precipitation kinetics, sintering processes, and coating interactions. Notable areas include phase field modeling of discontinuous precipitation, spinodal decomposition in Fe-Cr alloys, and high-entropy alloy design. His studies bridge experimental data with computational tools like the YAPFI phase-field framework. Key themes in his publications span cemented carbides, Co-based entropic alloys, and tool wear mechanisms. He combines CALPHAD thermodynamic modeling with first-principles calculations to address challenges in materials processing and corrosion resistance. His work often addresses industrial applications, such as optimizing machining tools and additive-manufactured superalloys.

Andreas DuitView profile

Professor

• Comparative Environmental Politics
• Climate Policy
• Environmental Governance
• +4 more

Andreas Duit is a Professor of Political Science at Stockholm University and also serves as a Guest Professor at the Political Science Unit, Luleå University of Technology. His academic work focuses on comparative environmental politics with special emphasis on the role of the state in addressing environmental challenges. Department of Political Science, Stockholm University Guest Professor, Political Science Unit, Luleå University of Technology Former visiting scholar at the Workshop in Political Theory and Policy Analysis at Indiana University, Bloomington Former visiting scholar at the Department of Political Science, University of Washington Professor Duit's research centers on comparative environmental politics, particularly examining how states address environmental challenges. His work employs quantitative methods and cross-national panel data analysis, with additional engagement in complex system analysis and survey research. His primary research interests include climate policy, environmental governance, sustainability transitions, and the relationship between welfare states and environmental policy. Analysis of Professor Duit's recent publications reveals a strong focus on climate governance mechanisms, environmental state development, and the interplay between political institutions and environmental outcomes. His research spans multiple analytical levels from international climate agreements to domestic policy implementation, with particular attention to how different governance structures affect environmental performance across countries. GREENTRANS: The Great Green Transformation – Politics, Markets and Civil Society in the Anthropocene (funded by Marcus and Marianne Wallenberg Foundation) THERAPY: The Electoral Ramifications of Environmental Policy (funded by FORMAS) GLEAN: A Global Survey of Learning, Participation and Ecosystem Management in Biosphere Reserves GRACE: Governing the Anthropocene – Environmental Policy and Outcomes in a Comparative Perspective Professor Duit has secured significant research funding from major Swedish research organizations including FORMAS, MISTRA, the Swedish Research Council, and the Marcus and Marianne Wallenberg Foundation. His research portfolio demonstrates a consistent focus on understanding the political dimensions of environmental challenges and identifying effective governance approaches for sustainability transitions.

Konrad BurchardiView profile

Professor

• Development Economics
• Labor Economics
• Agricultural Economics
• +3 more

Konrad Burchardi is Professor of Economics at the Institute for International Economic Studies (IIES) at Stockholm University. His academic work focuses on understanding economic development processes and the social foundations of economic behavior, with significant contributions to development economics and migration studies. Professor Burchardi obtained his PhD in Economics from the London School of Economics (LSE), with prior studies conducted in Munich, Aix-en-Provence, and at LSE. His educational background reflects a strong international foundation in economic theory and development perspectives. His research primarily centers on productivity growth at early stages of economic development and the social underpinnings of economic interactions. Key contributions include field experiments on sharecropping contracts in developing countries, demonstrating how output-sharing rules affect agricultural productivity, and research showing how migration ancestry influences foreign direct investment patterns. His work spans agricultural economics, migration studies, experimental economics, and economic networks, often employing rigorous field and natural experimental designs to establish causal relationships. Analysis of Professor Burchardi's publication record reveals consistent contributions to top economics journals with a focus on development and labor economics. His work shows an evolution from examining micro-level economic behaviors in developing countries to broader questions about migration networks and their economic impacts. His recent publications indicate increasing attention to historical economic data and financial inclusion, with work scheduled through 2025.

Gustav HenterView profile

Assistant Professor

• Deep Generative Models
• Speech Synthesis
• 3D Character Animation
• +3 more

Gustav Henter is an Assistant Professor in Intelligent Systems at KTH Royal Institute of Technology, specializing in Machine Learning. He is affiliated with the Division of Speech, Music and Hearing (TMH) within the School of Electrical Engineering and Computer Science. His research focuses on deep generative models for applications like speech synthesis, 3D character animation, and human-computer interaction. He holds a Docent degree from KTH and has held post-doctoral positions at the University of Edinburgh and the National Institute of Informatics in Tokyo. Education: PhD in Electrical Engineering (KTH, 2013), MSc in Engineering Physics (KTH, 2007). He supervises doctoral students in areas like gesture synthesis and multimodal interaction. His work is supported by grants from the Wallenberg AI, Autonomous Systems, and Software Program (WASP) and South Korea's MOTIE. He co-founded Motorica AB to commercialize motion synthesis research. Awards include Best Paper Awards at ICMI 2020 and IVA 2020, and recognition for student theses. His research spans generative AI, perceptual evaluation, and robust statistical models. He organizes the GENEA Challenge and Workshop series for gesture generation benchmarking.