Find Academic Supervisors

Huizhong CaoView profile

Researcher

• Cognitive Ergonomics
• Mental Workload
• Manufacturing Digitalization Innovation
• +5 more

Huizhong Cao is a researcher at Production Systems , Chalmers University of Technology. With a background in architecture and sustainable urban planning, she bridges design and technology through projects involving XR platforms , digital twins , and human-centered design . MSc in Sustainable Urban Planning (Chalmers) BSc in Architecture (Wuhan University) Her research focuses on mental workload assessment , XR interface design , and sustainable smart cities . Key projects include: RILIK - Immersive learning framework XR-TBP - Extended reality training for battery production TRIREME - Digital & Green Skills development DIGITALIS - Cognitive work optimization Recent publications analyze: VR interface design for collaborative manufacturing XR applications in environmental sustainability Digital twin integration with IoT Scientific recognition includes: IPOET Scholarship LEXUS Design Award Finalist KTH Innovative Incubator Program UIA-HYP Cup Third Prize She has contributed to UX design and XR development across multiple projects, often combining participatory design with game engine technology . Contact: huizhong@chalmers.se | huizhongcao1@gmail.com

James GrossView profile

Professor

• Wireless Networking
• Mobile Systems & Networks
• Ultra-reliable Low-latency Communications
• +11 more

James Gross is a Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, Stockholm. He leads research in mobile systems and networks, with a focus on 5G/6G, edge computing, and performance evaluation. He is Associate Director of KTH's Digital Futures center and a board member of the Innovative Centre for Embedded Systems. Previously, he directed the ACCESS Linnaeus Centre (2016–2019) and was Assistant Professor at RWTH Aachen University. PhD, TU Berlin (2006) Studies: TU Berlin, UC San Diego His research lies at the intersection of wireless networking, edge computing, and mathematical performance modeling. Key areas include ultra-reliable low-latency communications (URLLC), age-of-information, network calculus, and resource allocation. He applies these to 5G/6G, cyber-physical systems, and industrial IoT. His work combines theoretical modeling with real-world implementation and standardization impact. The recent publications highlight a strong focus on deterministic and reliable communications for future networks. Topics include hierarchical inference at the edge, age-of-information optimization, finite blocklength coding, and integration of TSN with wireless systems. There is a clear trend towards AI/ML for resource management and semantic communications, reflecting the evolution of intelligent edge networks. Best Paper Award, ACM MSWiM 2015 Best Demo Paper Award, IEEE WoWMoM 2015 Best Paper Award, IEEE WoWMoM 2009 Best Paper Award, European Wireless 2009 ITG/KuVS Dissertation Award, 2007 James Gross has supervised PhD students such as Samie Mostafavi and advises numerous master's projects. His research has been funded by national science foundations in Germany and Sweden, the ICT TNG SRA, Linnaeus ACCESS Centre, DFG-funded UMIC Centre, German Ministry of Science, and various industry partners. His work has led to patents and influenced wireless standards. He is involved in initiatives like the TECoSA project on trustworthy edge computing and organizes summer schools on Edge AI and 6G. His lab conducts experimental research on edge computing testbeds (e.g., Ainur, ExPECA) and wireless performance evaluation.

Bengt JonssonView profile

Professor

• Formal Methods
• Real-Time Systems
• Distributed Systems
• +6 more

Bengt Jonsson is a Professor at the Division of Computer Systems, Department of Information Technology, Uppsala University. His research focuses on formal methods, real-time and distributed systems, semantics and verification of concurrent systems, and IoT security. Current Projects: UPMARC (Software Technology for Multicore Programming), aSSIsT (Secure Software for IoT), and Designed for UPDATE (Safe Embedded Software Updates) Past Projects: CoDeR-MP (Multicore Real-Time Applications), ProFun (Wireless Sensor Networks), CONNECT (Networked Component Synthesis) His work includes automated verification, model checking, and symbolic execution for concurrent systems. Recent publications address dynamic partial order reduction, IoT protocol testing, and lock-free data structures. Scientific Awards : CAV Award 2017 He advises PhD students and teaches courses like Model-Based Development of Embedded Systems and graduate-level symbolic execution. Personal interests include piano playing and orienteering.

• Industrial Engineering
• Operations Research
• Production Planning
• +3 more

Pedram Beldar is a researcher affiliated with the University of Skövde , specifically the School of Engineering Science and Department of Engineering . He actively contributes to the fields of Industrial Engineering , Operations Research , and Production Optimization . His research focuses on optimization algorithms for manufacturing processes, including batch processing , flexible transfer lines , and energy-efficient production . He has collaborated on projects like Digitalized and optimized production planning for energy-efficient production (May 2022 - April 2025) and Virtual Engineering . His work emphasizes sustainable manufacturing and smart Industry 4.0 solutions. The trends in his publications highlight applications of operations research to non-identical parallel machines , cross-docking systems , and teaching-learning-based optimization , with a growing emphasis on sustainable production in recent years. He is involved in course coordination for bachelor-level industrial engineering courses and collaborates with researchers such as Masood Fathi , Amir Nourmohammadi , and Gilbert Laporte .

• Psychotherapy Research
• Clinical Psychology
• Mental Health Treatment
• +7 more

Fredrik Falkenström is a Professor at Linnaeus University, where he is affiliated with the Department of Psychology within the Faculty of Health and Life Sciences. He leads the Division of Clinical Psychology and is the principal investigator for the "Identifying the Active Ingredients of psychotherapy: A Methods development project (AIM)", which focuses on developing innovative methods to identify mechanisms of action in psychotherapy. Dr. Falkenström's research spans multiple critical areas in clinical psychology and psychotherapy science. His work primarily investigates the mechanisms of change in psychotherapy, with particular emphasis on methodological innovations that bridge the gap between research and clinical practice. His research interests include: Advanced statistical methods for psychotherapy process research Therapeutic alliance and attachment processes Comparative effectiveness of different psychotherapy approaches Applications to anxiety disorders, particularly panic disorder Emotion regulation and its role in therapeutic change Working alliance dynamics across different populations His publication record demonstrates a strong trajectory of methodological innovation in psychotherapy research. Recent work has focused on time-lagged panel models, copula models for causal inference, and detrending methods to better understand the complex temporal dynamics of therapeutic change. His research consistently examines how specific therapeutic processes (such as working alliance, attachment patterns, and emotional processing) relate to treatment outcomes across various disorders and populations, with particular attention to panic disorder and depression. Dr. Falkenström has published extensively in top-tier journals including Clinical Psychology Review, Journal of Consulting and Clinical Psychology, and Psychotherapy Research. His work has significant implications for both the science and practice of psychotherapy, helping clinicians better understand which components of therapy contribute to positive outcomes and how to optimize treatment approaches for individual patients. His research extends across multiple settings and populations, including studies on adolescent mental health, foster care interventions, and cross-cultural applications of psychotherapy. This breadth demonstrates his commitment to understanding psychotherapy mechanisms across diverse contexts and client groups.

• Pulp and Paper Technology
• Chemical Engineering
• Sustainable Materials
• +3 more

Mikael Lindström is a Professor and Pro-Rector at KTH Royal Institute of Technology , where he leads strategic research funding and collaboration. His academic career spans roles as Senior Lecturer (2001), Head of the Department of Pulp Technology and Wood Chemistry (2007-2011), Head of Fiber and Polymer Technology Department (2008-2011), Dean of the School of Chemical Sciences (2011-2017), and Head of the School of Chemistry, Biotechnology and Health (2018-2022). His research focuses on chemical pulp production , including modeling, simulation, and optimizing process steps to enhance wood fiber utilization. He pioneered a new pulp production system now used in 30 global mills, which earned the Ekman Medal (2008) . His work addresses challenges like calcium content in Eucalyptus wood, lignin nanoparticle applications, and sustainable recycling of cellulose-based materials. Scientific trends in his 15 most recent publications highlight advancements in textile recycling , hemicellulose extraction , oxygen delignification , and green liquor fractionation . These span Materials Science , Biotechnology , and Chemical Engineering , with specific subfields including fiber separation , lignin-based sorbents , and alkaline hydrolysis . Ekman Medal (2008) While no student advisees or grants are explicitly mentioned, his administrative leadership includes coordinating KTH’s strategic partnerships and infrastructure. He has no listed lab teams in the provided texts.

• Aircraft Design and Systems
• Sustainable Aviation
• System of Systems Engineering
• +3 more

Christopher Jouannet is an Associate Professor and Docent at Linköping University's Department of Management and Engineering (IEI), affiliated with the Fluid and Mechatronic Systems (FLUMES) group. His work focuses on aircraft design, sustainable aviation, and system-of-systems engineering. He holds a position in the Fluid and Mechatronic Systems department, contributing to interdisciplinary research at the intersection of aerospace and systems engineering. Research interests include sustainable aviation technologies, unmanned aerial systems, agent-based simulation frameworks, and ontology-driven system design. His recent work addresses economic viability of regional aircraft concepts, zero-emission transportation strategies in Scandinavia, and technology assessments for defense-related airborne platforms. Publications emphasize innovative approaches to aircraft actuation systems, multi-fidelity modeling integration, and systems-of-systems architectures. His contributions span both academic journals and conference proceedings, with a strong emphasis on applied research impacting aviation sustainability and defense capabilities. Labs/Teams: Active member of the FLUMES research group, collaborating on projects involving conceptual aircraft design, system integration, and advanced simulation methodologies.

• Scientific Visualization
• Data Analysis
• Medical Applications
• +6 more

Ingrid Hotz is a Professor in Scientific Visualization at Linköping University, affiliated with the Department of Science and Technology (ITN) and the Center for Medical Image Science and Visualization (CMIV). She holds a Master's in Theoretical Physics from Ludwig Maximilian University (Munich) and a PhD in Computer Science from the University of Kaiserslautern. Her research focuses on data analysis and scientific visualization, spanning applications in fluid dynamics, medical imaging, and large-scale simulations. She has led research groups at the Zuse Institute Berlin (2006–2013) and the German Aerospace Center (DLR, 2013–2015). Her work integrates methods from computer graphics, computational geometry, and topology. Key research areas include multi-field visualization, topological data analysis, and scalable systems for ocean data exploration. She has contributed to software tools like VIAMD and pyParaOcean. Notable collaborations include material science research (e.g., beryllonitrene synthesis) and large-scale conference organization (Eurographics 2020, attracting 23,000 participants). Her research bridges theoretical foundations with practical applications in medicine, engineering, and environmental science. Publications highlight advancements in visualization techniques for molecular dynamics, medical imaging, and climate modeling. She actively participates in interdisciplinary projects, such as predicting liver steatosis dynamics and developing frameworks for analyzing brain activity via fMRI data. Her work emphasizes bridging gaps between computational methods and real-world scientific challenges.

• Educational Research
• Teacher Training
• Pedagogy
• +3 more

Marie Jonsson is a Lecturer at Linköping University, affiliated with the Division of Education, Teaching and Learning (PEDI) and the Department of Behavioural Sciences and Learning (IBL). Her research spans educational studies and robotics in manufacturing. She co-authored a seminal 2005 paper on teacher training and has contributed to advancements in automated manufacturing systems, including robotics, composite materials handling, and force-controlled assembly. Her work bridges pedagogical research with industrial automation, addressing challenges in both teacher development and sustainable production processes. Roles: Lecturer, Researcher Affiliations: Linköping University, PEDI, IBL Research interests include educational methodologies and the integration of automation in unstructured production environments. She has explored circular economy impacts on automotive assembly and developed frameworks for dynamic robot adaptability using tools like Isaac Sim. Her publications highlight contributions to low-cost automation in aerospace composites and force-controlled manufacturing systems. Recent articles (2015–2024) focus on advancing automated material handling, robotics in composites, and sustainability in manufacturing. Despite no listed awards or grants, her work emphasizes practical applications of robotics and pedagogical innovation.

• Quantitative Finance
• Credit Risk
• Financial Engineering
• +3 more

Roles and Affiliations: Alexander Herbertsson is a Senior Lecturer in Statistics and Quantitative Finance at the University of Gothenburg, affiliated with the CFF-Centre for Finance. He is based in the Department of Economics with Statistics, located at Vasagatan 1, Gothenburg. His work focuses on financial risk management, credit risk modeling, and quantitative finance methodologies. Education: Ph.D. in Economics: Quantitative Finance (2007), University of Gothenburg Licentiate of Engineering in Industrial Mathematics (2005), Chalmers University of Technology M.Sc. in Engineering Physics (Applied Mathematics specialty) (2001), Chalmers University of Technology Research Interests: Herbertsson's research emphasizes applied financial mathematics and statistical methods in finance. Key areas include credit risk modeling (default contagion, systemic risks), financial engineering, and the development of dynamic models for portfolio credit risk. His work often integrates Markov chain models, phase-type distributions, and stochastic processes to analyze dependency structures and pricing of credit derivatives. Recent studies explore saddlepoint approximations for portfolio risk analysis and risk management under exogenous shocks. Teaching: He teaches advanced courses in credit risk modeling, quantitative finance, and applied probability theory, emphasizing practical applications in risk management and financial markets. Grants and Labs: While specific grants are not detailed in the text, his affiliation with the CFF-Centre for Finance suggests involvement in collaborative financial research projects. His work often addresses real-world applications of theoretical models in systemic risk and portfolio hedging.

• Thermal Energy Storage
• Phase Change Materials (PCM)
• District Heating and Cooling Systems
• +3 more

Viktoria Martin is a Professor of Energy Technology at KTH Royal Institute of Technology, specializing in thermal energy storage systems, particularly phase change materials (PCMs). Her research focuses on integrating sustainable energy solutions, such as renewable energy alternatives (e.g., solar heating) and optimizing district heating/cooling networks. She leads a research team with over 15 years of experience in PCM-based storage technologies, emphasizing compact, efficient systems that enhance energy efficiency in buildings and industrial processes. Her work often involves collaborations with international research institutes and industries. Her research interests span thermal energy storage design, industrial surplus heat utilization, and sustainable energy systems. She explores strategies to mitigate climate change through innovations like distributed cold storage in district cooling systems, energy efficiency in low-temperature district heating, and the integration of biowaste valorization into energy networks. Her studies also address socio-technical transitions and policy frameworks for sustainable development. Key trends in her publications include the optimization of thermal energy storage systems for urban and industrial applications, the role of PCMs in enhancing energy efficiency, and the analysis of energy-water-land interdependencies in Africa. She has contributed to modeling frameworks for energy system transitions and techno-economic assessments of novel storage technologies. Her work has implications for smart cities, renewable energy integration, and decarbonization strategies. Collaborations with global partners highlight her commitment to bridging academic research with industrial and policy applications.

• Game Development
• Serious Games
• Game Analytics
• +7 more

Henrik Engström is a Professor of Informatics at the University of Skövde, affiliated with the School of Informatics and Department of Information Technology. He holds a PhD in Computer Science from the University of Exeter. His research focuses on game development processes, serious games, and interdisciplinary collaboration in game design. Engström has led multiple projects, including the Game Tech Academy and Sweden Game Arena initiative, aiming to leverage game technology for societal challenges in health, education, and industry. He coordinates the Game Development Master's Programme and has published extensively on topics like game analytics, inclusive design, and mobile game publishing strategies. His work often bridges academia and industry, emphasizing practical applications in training simulations and healthcare. Education: PhD in Computer Science (University of Exeter) Key Projects: Sweden Game Arena, Game Hub Scandinavia, Digital Parental Support Tools Research Interests: Game design processes, serious games for health, inclusive game development, and mobile game business models Engström’s research outputs span over two decades, with notable contributions to understanding game development challenges, stress detection in games, and the application of AI in game narratives. His book Game Development Research (2020) synthesizes empirical insights from industry practices. He collaborates internationally, including with Japanese and Scandinavian institutions, to advance educational game models and industry-academia partnerships. His articles highlight trends in data-driven decision-making for indie game publishers, the psychological impact of game design on player experiences, and leveraging game jams for addressing heavy societal topics. Engström also leads grants focused on digital health tools for expecting parents and sustainable urban planning via game-based participation. Labs/Teams: Key contributor to the Sweden Game Conference and collaborator with Game Tech Academy, fostering innovation in game-based solutions for societal challenges.

Mattias TigerView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +3 more

Mattias Tiger is an Assistant Professor at the Department of Computer Science (IDA) at Linköping University , where he serves as an AI researcher and deputy lab leader for the Reasoning and Learning Lab (ReaL) . His work is supported by the WASP program and focuses on applied AI research in autonomous systems. Roles : Assistant Professor, AI Researcher, Deputy Lab Leader Affiliations : IDA, AIICS, WASP, AI Academy Research Focus : Artificial Intelligence, Robotics, and Autonomous Systems with specialization in motion planning, dynamic obstacle avoidance, and safety-aware AI. His work bridges theoretical foundations with real-world applications, particularly in urban environments and agile flight systems. Key technical areas: Lattice-based motion planning, deep reinforcement learning, 3D exploration algorithms Application domains: Autonomous road sweeping, drone navigation, retail automation Awards : EurAI award for postdoctoral thesis SAIS award for best degree project supervision Collaborations : Works with Professor Fredrik Heintz and colleagues in projects involving robotic platforms like Spot and Elsa. His research has been highlighted during the Royal Couple's visit to Linköping and through grants from the Norrköping Fund for Research and Development.

• Sports Science
• Exercise Physiology
• Winter Sports Performance
• +3 more

Oyvind Karlsson is a Researcher at Mid Sweden University, affiliated with the Department of Health Sciences in Östersund and the National Winter Sports Center (NVC). His work focuses on optimizing performance and health in elite winter sports athletes, particularly cross-country skiers and biathletes, through rigorous physiological monitoring and data-driven approaches. Dr. Karlsson holds a Doctor of Philosophy (PhD) from Mid Sweden University, culminating in his 2022 doctoral thesis "Monitoring Health Problems and Training to Support Performance in Competitive Cross-Country Ski Athletes," which established his expertise in longitudinal athlete tracking. His research centers on athlete health surveillance, metabolomics-based biomarker identification, and altitude training adaptation. He investigates critical intersections between training load, illness incidence, and performance outcomes, with emphasis on practical applications for national teams. Current projects analyze metabolic responses to exercise, sleep patterns at altitude, and individualized acclimatization strategies. Analysis of his 15 most recent publications reveals a dominant focus on cross-country skiing performance optimization through interdisciplinary methods. His work consistently combines exercise physiology with metabolomics and real-world monitoring, targeting illness prevention and performance enhancement in elite winter sports. Recent studies increasingly incorporate blood-based biomarkers and individual response variability. No scientific awards are documented in available sources. While no formal advising relationships or specific grant funding are mentioned, Dr. Karlsson collaborates extensively with national team staff through the NVC framework. His research directly informs coaching decisions and athlete management protocols for Swedish cross-country skiing and biathlon programs. As a core member of the National Winter Sports Center (NVC), Dr. Karlsson integrates with multidisciplinary teams including sports scientists, physiologists, and medical staff. His work leverages the NVC's specialized facilities for altitude simulation, metabolic testing, and field-based performance analysis during training camps.

• 3D printing
• Materials science
• Electromagnetic compatibility testing
• +6 more

Pererik Andreasson is a Lecturer at the Academy of Information Technology , Halmstad University. His research focuses on 3D printing, materials science, electromagnetic compatibility testing, and wireless communication. Key contributions include optimizing 3D-printed radar lenses, advancing phase-change material characterization via femtosecond x-ray diffraction, pioneering augmented reality methods for electromagnetic field visualization, and developing substrate integrated waveguide antennas for IoT devices. 3D printing of optical components Dynamic processes in phase-change materials Augmented reality for electromagnetic testing IoT antenna design His recent work on frequency-adjustable SIW antennas (2024) and AR-based EMC visualization (2021) demonstrates cross-disciplinary innovation. While no scientific awards are documented, his 15+ publications since 2007 highlight sustained expertise in material science and wireless technologies.