Find Academic Supervisors

Hans HanssonView profile

Professor

• Real-Time Systems
• Cybersecurity
• Industrial Control Systems
• +6 more

Hans Hansson is a Professor at Mälardalen University since 1997, leading the Mälardalen Real-Time Research Centre (MRTC) and the strategic profile area Trusted Smart Systems (TSS). He holds multiple degrees from Uppsala University, including an MSc in Engineering Physics and a Doctor of Technology in Computer Systems. His research focuses on real-time systems, cybersecurity, industrial control systems, and safety-critical systems. He has advised over 20 PhD students, five of whom became university professors. Hans has secured over 500 MSEK in external funding from national and European grants. His work spans fault-tolerant systems, embedded software verification, and compositional safety analysis in complex systems. Key projects include the development of the Pkl language for operational design domains, security frameworks for industrial IoT systems (e.g., ICSSIM testbeds), and real-time storage solutions for fog computing. He also chairs the PROGRESS Centre for Predictable Embedded Software Systems. Publications emphasize cybersecurity in industrial systems, safety-critical software design, and real-time scheduling in time-triggered networks. His research bridges theory and practice, addressing challenges in autonomous systems, mining automation, and Industry 4.0.

• Software Engineering
• Educational Technology
• Technical Communication
• +3 more

Lena-Maria Öberg is a Senior Lecturer at Mid Sweden University's Department of Communication, Quality Technology and Information Systems (KKI), Faculty of Natural Sciences, Mathematics and Technology (NMT). She serves as Vice-Dean of NMT and program manager for the master's-by-research program in Informatics. Teaches in Bachelor's programs and supervises Master's independent work Research focuses on system development education and technical communication Active in the Software Engineering and Education (SEE) research group Her research spans blended learning, crisis management systems, and digitalization in education. Key projects include Duvkom (digital education systems) and Cross-border Security Cooperation. Publications examine traceability in information systems, Lean methodology in technical communication, and scenario planning for future user needs. Recent work analyzes privacy concerns in learning analytics (2022), rural coworking environments (2025), and mobile technology-enhanced collaboration (2018). She contributes to networked learning research through Springer publications (2023) and co-edits proceedings for international conferences.

• Marine Ecology
• Biofouling
• Invasive Species Management
• +4 more

Lena Granhag is an Associate Professor at Chalmers University of Technology, specializing in Maritime Environmental Sciences . Her research focuses on marine invasive species, biofouling, and shipping-related environmental impacts. Current Projects : Leading EU-funded CLIMATE INVASIVES , Swedish Transport Administration's VEKTOR , and Swedish Environmental Protection Agency's ISAP initiatives. Expert Involvement : Active member of ICES Ballast Water Expert Group since 2012; former postdoc at Plymouth Marine Laboratory and Kristineberg Marine Research Station. Research Themes : Marine biofouling prevention Invasive species transport via shipping Antifouling coating development Marine pollution reduction Shipping environmental performance Hydrodynamic hull maintenance Email : lena.granhag@chalmers.se

Josefin StarkhammarView profile

Senior Lecturer

• Marine Acoustics
• Biosonar
• Computer-Based Measurement Systems
• +3 more

Josefin Starkhammar is a Senior Lecturer at the Division for Biomedical Engineering, Faculty of Engineering, Lund University. She serves as Principal Investigator for eSSENCE: The e-Science Collaboration, while also contributing to LU Profile Area: Natural and Artificial Cognition and LTH Profile Area: Engineering Health. Her research focuses on marine acoustics and biosonar with development of technological tools for bioacoustic studies. Acoustic finite element modeling Signal processing algorithms Underwater measurement systems Infrastructure non-destructive testing She teaches advanced computer-based measurement systems courses at LTH. Her research outputs span biological sciences, engineering, zoology, signal processing, and fluid mechanics. Current projects include 3D acoustic field propagation models for dolphin echolocation beam formation using in vivo CT imaging data. Josefin has received multiple awards including the Fred Fairfield Memorial Award (2007), Best Student Presentation (2008), and Outstanding Poster Presentation (2009). She actively participates in academic conferences like The COMSOL Conference 2023 and has served as external reviewer for PhD theses. Her work appears in journals such as the Journal of the Acoustical Society of America and JASA Express Letters.

Fredrik D. JohanssonView profile

Associate Professor

• Causal Inference
• Machine Learning
• Healthcare Applications
• +5 more

Fredrik D. Johansson is an Associate Professor of Computer Science & Engineering at Chalmers University of Technology in Sweden, where he serves as Principal Investigator for the Healthy AI Lab. His academic career bridges theoretical machine learning with practical healthcare applications, focusing on causal inference methodologies for real-world decision making. His research interests center on causal inference in machine learning and decision-making with healthcare applications. Johansson's work spans multiple subfields including treatment effect estimation, missing data handling, reinforcement learning for healthcare, and Alzheimer's disease simulation. His research group develops both theoretical frameworks and practical tools for causal machine learning. Analysis of his recent publications reveals a strong emphasis on causal inference methodology with increasing healthcare applications, particularly in Alzheimer's disease research and treatment effect heterogeneity. His work consistently appears in top-tier machine learning venues including NeurIPS, ICML, AISTATS, and JMLR, demonstrating both theoretical rigor and practical relevance to healthcare decision making. As an academic advisor, Johansson currently supervises seven PhD students: Herman Bergström, Alessandro Margueritte, Ahmet Balcioglu, Adam Breitholtz, Newton Mwai Kinyanjui, Anton Matsson, and Lena Stempfle, indicating an active and growing research group. He leads the Healthy AI Lab at Chalmers University of Technology, which focuses on developing machine learning methods for healthcare applications with particular emphasis on causal inference. The lab has produced numerous software tools including Counterfactual Regression, Matching Kernels, and DLOREAN, along with datasets like IHDP-100, Jobs-Binary, and ADCB that have become standard benchmarks in the causal inference community.

• Composite Materials
• Fluid-Structure Interactions
• Hydrodynamics
• +5 more

Ivan Stenius is a full-time Associate Professor at the Department of Engineering Mechanics, KTH Royal Institute of Technology. He holds a M.Sc. (2003) and Ph.D. (2009) in Lightweight Structures from KTH, with a licentiate degree (2007). His research focuses on composite materials, fluid-structure interactions, hydrodynamics, marine robotics, and model-based systems engineering. He leads the Swedish Maritime Robotics Centre (SMaRC), Sweden’s largest academic initiative in underwater robotics, and co-founded Zparq AB for marine electric propulsion. Education: M.Sc. in Lightweight Structures (KTH, 2003) Technical Licentiate in Lightweight Structures (KTH, 2007) Ph.D. in Hydroelasticity and Fluid-Structure Interactions (KTH, 2009) Research & Collaboration: Stenius develops advanced software tools with FMV and the Swedish Coast Guard. He leads cross-disciplinary projects involving computer vision, electrochemistry, and networked control. His work on hydrofoiling and electric propulsion has spun off Zparq AB. Recent projects include autonomous seaweed farm inspection, bioinspired underwater robots, and reinforcement learning for AUV maneuvering. Labs & Initiatives: PI of SMaRC, which integrates advanced robotics and maritime systems. Active in courses like Underwater Technology (SD2709) and Vehicle Engineering (SD1002).

Alessio CrippaView profile

Researcher

• Epidemiology
• Biostatistics
• Dose-response meta-analysis
• +4 more

Alessio Crippa is a Senior Research Specialist at the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet (KI) in Stockholm, Sweden. He has been working at MEB since 2018, initially as a postdoctoral researcher and currently in his senior role. His work focuses on epidemiology and biostatistics, particularly in the development and application of statistical methods for cancer research and clinical trials. Dr. Crippa's educational background includes: PhD in Medical Science from Karolinska Institutet (2018) MSc in Biostatistics and Experimental Statistics from the University of Milan-Bicocca (2013) BSc in Statistics and Information Management from the University of Milan-Bicocca (2011) During his academic journey, he spent six semesters at Stockholm University studying Mathematical Statistics and six semesters at Karolinska Institutet working on his master's thesis. He also completed a three-month research stint at Harvard T.H. Chan School of Public Health under the supervision of Prof. Donna Spiegelman. Dr. Crippa's research primarily focuses on the development of methodologies for modern platform trials, with particular emphasis on personalized treatment decisions for prostate cancer patients. He serves as the responsible statistician for the statistical analysis plan and as the unblinded statistician in the ProBio platform trial, which aims to reduce prostate cancer mortality through genetics biomarkers. His work involves outcome-adaptive randomization trial design to determine which treatments are effective for specific ctDNA biomarker profiles in men with metastatic castration-resistant prostate cancer (mCRPC). Analysis of Dr. Crippa's recent publications reveals a strong focus on prostate cancer research, particularly through the ProBio trial. His work spans epidemiological methods, biostatistical modeling, and clinical applications. Key themes include biomarker-driven treatment selection, circulating tumor DNA analysis, and adaptive trial designs. His research extends beyond prostate cancer to include breast cancer screening, mental health interventions, and environmental epidemiology, demonstrating his expertise in dose-response meta-analysis across various medical domains. Dr. Crippa has secured significant research funding, most notably for the ProBio project: ProBio: An outcome-adaptive and randomised multi-arm biomarker driven study in patients with metastatic prostate cancer (Swedish Research Council, January 1, 2022 - December 31, 2025) While specific details about his advising roles aren't explicitly stated in the provided text, Dr. Crippa is actively involved in teaching and mentoring. He has taught Biostatistics courses in the Master's program in Public Health at Karolinska Institutet and served as a teaching assistant in Epidemiology and Biostatistics courses for the Doctoral Program. He regularly conducts workshops on statistical software R for public health researchers and medical doctors, and teaches seminars on survival analysis for biostatistics students at the University of Milan-Bicocca. Dr. Crippa is a key member of the ProBio research team, which represents a significant collaborative effort involving multiple institutions across Sweden. This nationwide, multicentre study focuses on improving treatment decisions for prostate cancer patients through molecular profiling of circulating tumor DNA. His role as the unblinded statistician places him at the center of the trial's data analysis and interpretation, directly influencing how treatment decisions are made based on emerging biomarker data.

• Software Engineering
• Sustainable Development
• Programming Language Theory
• +6 more

Daniel Einarson is a Senior Lecturer in Computer Science at Kristianstad University’s Faculty of Natural Science, where he teaches Software Engineering and contributes to the Master Programme in Computer Science with a focus on Sustainable Development. He also instructs pedagogical courses on Education for Sustainable Development (ESD) for university teachers and participates in university-wide sustainability initiatives. Research Interests : Programming language theory, real-time systems, IoT applications for e-health and sustainable development, distributed systems, and ICT’s role in environmental progress. Teaching : Software Engineering, ESD pedagogy, and sustainable development integration in higher education. Research Output : His recent work includes: IoMT systems for predicting medical device failures in home care IoT solutions for vulnerable populations Machine learning in concrete crack detection Employer perspectives on alumni contributions to sustainability Behavioral modeling of birds Home healthcare IT systems Distributed systems for environmental monitoring Collaborations : Active in cross-disciplinary projects, partnering with researchers like K. Klonowska, D. Mengistu, and M. Teljega. Engaged in international conferences such as SNCNW 2025 and the International Conference on Electronic Systems and Intelligent Computing. He serves as a reviewer for journals like Measurement and supervises PhD theses externally.

• Ergonomics
• Digital Human Modeling
• Product Design Engineering
• +3 more

Aitor Iriondo Pascual is a Postdoctoral fellow in integrated product development at the Department of Engineering, School of Engineering Science, University of Skövde. His research focuses on the intersection of ergonomics, digital human modeling, and optimization techniques for improving workplace design and productivity. He works in Room PA220S and can be contacted at aitor.iriondo.pascual@his.se or by phone at 0500-448760. Dr. Iriondo Pascual's research interests span several key areas in industrial engineering and ergonomics: Digital Human Modeling and Applications Multi-objective Optimization of Workplace Design Worker Well-being and Productivity Enhancement Ergonomic Assessment Methods and Tools Integration of Simulation Technologies in Manufacturing Virtual and Augmented Reality Applications in Industrial Settings His recent publications demonstrate a strong focus on applying simulation-based multi-objective optimization techniques to solve complex problems in workplace design and ergonomics. The trend in his research shows an increasing sophistication in integrating multiple data sources and methodologies, from motion capture technology to machine learning algorithms for hand posture classification. His work bridges the gap between theoretical optimization frameworks and practical industrial applications, particularly in assembly stations and manufacturing environments. Dr. Iriondo Pascual is actively involved in several research projects, most notably the eight-year "Virtual Factories with knowledge-driven optimization (VF-KDO)" project running from October 2018 to September 2026, which aims to strengthen the competitiveness of Swedish industry through advanced simulation and optimization techniques.

Pablo MirandaView profile

Senior Lecturer

• History of Technology in Architecture
• Digital Architecture
• Software Influence on Architectural Practice
• +4 more

Pablo Miranda is a Senior Lecturer at the Faculty of Engineering (LTH) at Lund University, specializing in Architecture, Form and Design. His work examines the intersection of technology, architecture, and urban planning. PhD from KTH Royal Institute of Technology (2018) Postdoctoral Fellow at MIT's Department of Architecture (2022) Current research funded by Swedish Research Council (VR) on algorithms in geography Research focuses on how computers reorganize architectural knowledge and transform geography into predictive planning. Expertise aligns with UN Sustainable Development Goals (SDGs) related to sustainable cities and communities. Key collaborations include projects like Urban Arena (2022–) and Architectures of Certitude (2023–2026), exploring digitalization in architecture and planning. Subject classifications: Architecture, Computer Systems, Environmental History Free keywords: Programming, Representation, Technics, History

Holger WallbaumView profile

Professor

• Sustainable Building
• Life Cycle Assessment
• Building Stock Modeling
• +5 more

Holger Wallbaum is a Full Professor in Sustainable Building at Chalmers University of Technology’s Department of Building Technology, serving as Vice-Head of Department and Vice-Dean for Research in the School of Architecture and Civil Engineering. His work focuses on enhancing sustainability in construction materials, buildings, and cities through lifecycle assessments, tools, and strategies. Education: PhD in Architecture, University of Hanover, Germany (2002) Diploma in Safety Engineering (Environmental Engineering), Bergische University Wuppertal, Germany (1998) Maîtrise Gestion de Risques, Université de Mulhouse, France (1995) Research Interests: Wallbaum’s research spans ecological and economic lifecycle assessments of construction materials and infrastructure, sustainability assessment tools, climate-adapted design, building stock modeling, and the refurbishment of urban housing. His work bridges technical, social, and environmental dimensions of sustainability, with a focus on occupant well-being, circular economy principles, and policy implementation. Article Trends: His recent publications emphasize digital tools for urban sustainability (e.g., digital twins, machine learning), lifecycle management of infrastructure, and occupant-centric design. Key themes include circular economy frameworks, material flow analysis, and bridging assessment-action gaps in sustainability practices. Advising & Grants: Advised PhD/Master’s students including Sanjay Somanath, Xinyue, and Toivo. Involved in projects like CREATE (energy/climate strategies), SSO User Insight Toolbox, and PROCEEDR (road infrastructure sustainability). Labs/Teams: Active in the Sustainable Building research group and the Area of Advance: Building Futures at Chalmers, collaborating on initiatives like the Building Inventory and Refurbishment Scenario Database.

• Chemical Engineering
• Thermodynamics
• Fluid Dynamics
• +5 more

Krister Ström is an Associate Professor at the Department of Chemical Engineering within the School of Chemistry and Chemical Engineering at Chalmers University of Technology. His research focuses on thermodynamics, fluid dynamics, and process modeling, with particular expertise in vapor-liquid equilibrium, density measurements, and pulp washing processes. He has contributed to studies on refrigerant mixtures, high-temperature working fluids, and non-azeotropic systems. Ström’s research interests include the development of thermodynamic models (e.g., UNIQUAC equation), phase equilibria analysis, and applications in energy systems and environmental engineering. His work spans experimental methodologies, computational simulations, and industrial process optimization. Notable projects include investigations into glycerol nitration processes and the use of evaporator condensate in pulp washing. He has authored or co-authored 12 publications since 1982, covering topics such as thermophysical property determination, separation science, and energy-efficient refrigeration systems. His contributions highlight interdisciplinary approaches to chemical engineering challenges, blending theoretical modeling with practical applications.

• Robot Control
• Robotic Manipulation
• Human-Robot Interaction
• +12 more

Yiannis Karayiannidis is an Associate Professor in the Department of Automatic Control at Lund University's Faculty of Engineering (LTH). He is affiliated with major research initiatives including ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and WASP (Wallenberg AI, Autonomous Systems and Software Program). A portion of his research team is based at Chalmers University of Technology, specifically within the Division of Systems and Control (SYSCON). He actively contributes to the robotics and control community through editorial roles and leadership in professional organizations. His research focuses on advanced robotic control systems, particularly in human-centered environments. Key areas include robotic manipulation, dual-arm coordination, force and grasping control, physical human-robot interaction, robot learning, navigation, reactive planning, multi-agent systems, and nonlinear and adaptive control. These interests are reflected in both his teaching and research output. The recent publication trends highlight a strong focus on autonomous navigation in dynamic environments, robust force control, multi-agent coordination, and learning-based manipulation. His work integrates model-based control with data-driven methods, particularly in complex and uncertain settings. Topics such as obstacle avoidance, tunnel-following MPC, friction modeling, and semantic feature estimation demonstrate technical depth and real-world applicability. Prof. Karayiannidis holds significant academic service roles: Associate Editor, IEEE Robotics and Automation Letters Associate Editor, IEEE/ASME Transactions on Mechatronics Associate Editor, International Conference on Robotics and Automation (ICRA) Associate Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Associate Editor, European Control Conference Treasurer, IEEE Robotics Chapter in Sweden He has supervised numerous PhD and master's students and is actively involved in research projects funded by national and strategic initiatives. His editorial and supervisory roles underscore his leadership in the robotics and control community. He also contributes to infrastructure development as a manager of RobotLab LTH. He is involved in several key research labs and teams: RobotLab LTH – a shared robotics research infrastructure where he serves as a manager Division of Systems and Control (SYSCON), Chalmers University of Technology – hosts part of his research team Center for Construction Robotics – collaborative network involving Lund University researchers WASP and ELLIIT research networks – strategic national platforms for AI and robotics

• Biomechanics
• Vascular Biomechanics
• Computational Modeling
• +4 more

Thomas Christian Gasser is a Professor of Biomechanics at KTH Royal Institute of Technology in Stockholm and an Adjunct Professor at the University of Southern Denmark. He holds a Master of Mechanical Engineering (1997) and a PhD in Civil Engineering (2001) from Graz University of Technology, Austria, and a Habilitation in Solid Mechanics/Biomechanics from KTH (2008). His research focuses on computational biomechanics, particularly the development of numerical techniques for solving clinical and engineering problems in vascular systems. Key areas include abdominal aortic aneurysm (AAA) rupture prediction, finite element method (FEM) simulations, and translational research leading to clinical decision-making tools like A4clinicsRE. He has authored over 100 peer-reviewed articles, two textbooks (including a German translation of Vascular Biomechanics ), and holds patents in the field. Recognitions include the Humboldt Research Award (2022) and being ranked among the top 2% of global researchers in Biomedical Engineering. He organizes the Computational Tissue Biomechanics summer school and serves as an Associate Editor for International Journal for Numerical Methods in Biomedical Engineering . Additionally, he founded ARTEC Diagnosis AB and VASCOPS GmbH, and acts as a legal expert for skiing accident reconstructions at Austria’s Oberlandesgericht. Teaching responsibilities include courses on biomechanics, constitutive modeling, and applied elasticity. His work integrates theoretical, numerical, and experimental approaches to address biological tissue mechanics challenges, emphasizing patient-specific analysis and clinical applicability.

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +5 more

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.