Guanpu Chen is a Research Fellow at the Division of Decision and Control Systems, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. His supervisor is Prof. Karl Henrik Johansson. He holds a Ph.D. from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, under the supervision of Prof. Yiguang Hong. His research focuses on operational research and cybernetics, with emphasis on Multi-Agent Systems Distributed Optimization Network Games Cybersecurity No publications or awards are explicitly listed on the provided profile.
Truls Nyberg is an Industrial Postdoc at TRATON Group, affiliated with the Division of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology. His research focuses on foundation models and vision-language models for decision-making and motion planning in autonomous vehicles, addressing critical challenges in occlusion handling and risk assessment. His academic background includes: PhD in Computer Science (Robotics, Perception and Learning) from KTH Royal Institute of Technology (2025), with thesis "Mind the Unknown: Risk- and occlusion-aware motion planning for autonomous vehicles" supervised by Jana Tumova and co-supervised by Patric Jensfelt MSc in Control and Information Systems from Linköping University BSc in Applied Physics and Electrical Engineering from Linköping University Nyberg's research centers on autonomous driving systems where occlusions create safety risks. He develops risk-aware motion planning algorithms using sequential reasoning about hidden objects, vehicle-to-everything (V2X) communication, and foundation models to enhance decision-making in complex traffic. His work bridges theoretical robotics with industrial applications, emphasizing real-world safety specifications and uncertainty handling in urban and highway scenarios. Analysis of his publications reveals a clear trajectory from fundamental risk-aware planning (2021) to advanced occlusion reasoning using V2X (2024). His research consistently targets safety-critical gaps in autonomous driving, with growing emphasis on cooperative perception and language-integrated vision models. Key trends include formal safety guarantees, real-time contingency planning, and leveraging hidden object predictions for proactive vehicle control. Nyberg was funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP) during his doctoral studies. While no current student advising is documented, his industry-academia role at TRATON Group demonstrates strong collaboration between KTH and automotive manufacturing. His research directly addresses industrial challenges in commercial vehicle automation. As part of KTH's Robotics, Perception and Learning division, Nyberg contributes to Sweden's leading autonomous systems research environment. His work leverages state-of-the-art robotics labs and industry partnerships to translate academic innovation into practical solutions for next-generation autonomous vehicles.
Florian T. Pokorny is an Associate Professor in Machine Learning at the Division of Robotics, Perception and Learning (RPL), Department of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. He coordinates research projects such as the Horizon Europe-funded SoftEnable and the WASP-funded Intelligent Cloud Robotics for Real-Time Manipulation at Scale . His research focuses on data-driven methods for robotic manipulation, including transfer learning, cloud robotics, and caging-based manipulation of rigid and deformable objects. Education: PhD in Mathematics, University of Edinburgh (supervisor: Michael Singer) MSc in Advanced Study in Mathematics (Part III), University of Cambridge BSc in Mathematics, University of Edinburgh Research Interests: His work emphasizes scalable robotic manipulation, leveraging deep learning and geometric/topological methods. Key areas include training data requirements, transfer learning, and cloud robotics paradigms for manipulation at scale. Recent projects explore energy margin analysis, caging-guided morphology optimization, and robust policy learning. Publications: His recent work spans topics like caging-based manipulation, federated learning, and cloud robotics infrastructure. Notable contributions include CageCoOpt (manipulation robustness), CloudGripper (open-source testbed), and RealCraft (zero-shot video editing). Awards & Grants: Funded by WASP, Horizon Europe, and the Knut and Alice Wallenberg Foundation. His group hosts the CloudGripper platform and collaborates on benchmarks like DLO@Scale. Advising & Labs: Supervises multiple PhD students and research engineers. Alumni include Robert Gieselmann (Amazon Robotics), Yiannis Karayiannidis (Chalmers University), and Anastasiia Varava (Postdoc at KTH). Active in organizing workshops like RoDGE (IROS 2025) and ICRA 2025 robotics learning events.
Zhiqi Tang is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology's Division of Decision and Control Systems (EECS Department), supervised by Professors Jonas Mårtensson and Karl Henrik Johansson. She previously held positions as a postdoctoral researcher at Instituto Superior Técnico (IST) in Portugal and as an Invited Assistant Professor in their Department of Electrical and Computer Engineering. She holds a double Ph.D. in Automatic Control and Robotics from IST and I3S-CNRS (Université Côte d'Azur), receiving the EDSTIC Ph.D. thesis prize, and a B.S. in Electrical and Computer Engineering from the University of Macau (2015). Her research focuses on estimation, control, and decision-making in multi-agent systems, with applications in Robotics and Transportation Systems. Key areas include cooperative estimation, networked systems, nonlinear dynamics, and formation control. She teaches the Nonlinear Control (EL2620) course at KTH. Her recent work emphasizes safe platooning for autonomous vehicles, collision avoidance in UAV formations, and distributed localization under dynamic conditions. Notable contributions include barrier function-based control for CAVs and bearing-rigidity theory for multi-agent coordination. Her research bridges theoretical control frameworks with practical implementations in robotics and transportation. Awards: EDSTIC Ph.D. thesis prize (2021) Grants/Advising: Supervises postdoctoral and doctoral research in multi-agent systems Labs/Teams: Involved with KTH's Decision and Control Systems group and IST's Institute for Systems and Robotics
David Green is a Senior Lecturer at Halmstad University's School of Business, Innovation and Sustainability. His research focuses on developing functional materials using nanocomposition approaches, particularly in inorganic crystalline host phases like calcium carbonate and gypsum. He explores emergent material properties by mixing known materials to influence molecular orientation, light absorption, and energy transfer. His current work also extends to organic molecular crystalline nanocomposites. Research interests include material synthesis, nanotechnology, crystal engineering, and the application of advanced microscopy techniques. His recent publications highlight innovations in calcite growth mechanisms, drug delivery systems, and optoelectronic material characterization. David teaches courses in general and environmental chemistry, scientific writing, and research methodology at Halmstad University. Key research themes span functional nanocomposites, controlled drug release systems, and structural analysis of crystalline materials using techniques like ptychographic X-ray tomography. His work bridges fundamental material science with practical applications in biomedical and energy fields.
Johanna Sjöstedt is a Senior Lecturer at Halmstad University's School of Business, Innovation and Sustainability and concurrently serves as a Researcher at Lund University's Department of Biology. Her research focuses on aquatic ecology, biogeochemistry, and microbial processes, particularly addressing climate change impacts on ecosystems. She leads applied projects evaluating nature conservation measures, including wetland design to mitigate eutrophication and brownification, and employs eDNA tools for fisheries management. Current projects include reducing Baltic Sea hypoxia and developing genetic methods for salmon/trout population assessments. Education: Advanced degrees in microbiology/biology (details not explicitly stated). Research Interests: Climate change effects, microbial community dynamics, environmental management, and molecular ecology. Her work integrates stakeholder collaboration for sustainable forestry/agriculture practices and river restoration. Key contributions include studies on bacterioplankton responses to disturbances and Arctic coastal zone dynamics. She actively publishes in peer-reviewed journals, with recent focus on wetland mitigation strategies and microbial carbon utilization in boreal lakes. Grants & Projects: Funded by FORMAS and Naturvårdsverket (Swedish EPA). Expanding fisheries management with eDNA methods.
Henrik Smith is a Professor at Lund University, serving as Chair of the Centre for Environmental and Climate Science (CEC) and Principal Investigator. He also coordinates the LU Profile Area: Nature-based Future Solutions and is involved in Biodiversity and Evolution research. His work focuses on behavioral ecology, conservation ecology, and the impacts of anthropogenic environmental changes on biodiversity and ecosystem services. Smith has held leadership roles in initiatives like BECC (2010-2024) and collaborates with stakeholders to integrate science into policy. His research explores how agricultural intensification and climate change affect meta-communities of organisms, particularly pollination and biological control services. He emphasizes interdisciplinary approaches, combining ecological research with policy development and valuation of ecosystem services. Smith has secured funding for 69 projects, including Horizon Europe initiatives like AGRI4POL and VALOR, focusing on sustainable agriculture and pollinator conservation. Smith has received awards including the Lund University Pedagogic Prize (2002) and the Roséns Linnépris i Zoologi (2023). He actively engages in public outreach through seminars, media participation, and publications. His educational contributions include developing cross-disciplinary programs like the Environmental Science PhD program and courses addressing environmental issues. Key grants include analysis of synergies between Swedish agricultural policies and EU regulations, quantifying ecosystem services in forests, and biodiversity science for financial strategies. His work addresses SDGs related to climate action, life on land, and sustainable cities. Smith's activities span international collaborations, policy advising, and supervising 22 doctoral works.
Jonas Hansson serves as Associate Professor at the Unit of Police Work, Umeå University, where he conducts research and teaches across bachelor's and master's police programs. A former police officer with extensive field experience as supervisor, field training officer, and tactics instructor, he holds a PhD in Public Health (2017) from Umeå University's Department of Public Health and Clinical Medicine. His academic profile includes roles as Research and Science Correspondent for CEPOL and Conference Director for LEPH2023Umeå. Research interests center on policing dynamics with emphasis on mental health, stress management, AI integration, tactical decision-making, and conflict resolution. His work examines police officers' coping mechanisms, discretion in high-stakes situations, situation awareness during interventions, and ethical challenges in asylum processes. Current projects include AI-assisted police work development and studies on gender-based harassment within police organizations. Distinguished university teacher award recipient Hansson supervises bachelor's, master's, and doctoral theses in police work while leading significant research initiatives including the Mareld project on prioritized neighborhoods and evaluations of electroshock weapons (CEW). His work bridges academic rigor with practical policing applications, focusing on improving officer well-being and operational effectiveness through evidence-based approaches.
Torkel Erhardsson is an Associate Professor (Docent) in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA), where he conducts research in probability theory, stochastic processes, and statistical inference. His research interests include: Bounds for distances between probability distributions using Stein's method and couplings Applications to normal and compound Poisson approximations Bayesian nonparametric inference and asymptotics of posterior distributions Higher-dimensional autoregressive processes with random coefficients Reciprocal chains and reciprocal random fields on undirected graphs His recent publications (2008–2023) in journals such as Journal of Applied Probability , Advances in Applied Probability , and IEEE Transactions on Automatic Control reflect a strong focus on theoretical probability and its applications, particularly in approximation methods and stochastic modeling. The work shows increasing emphasis on graphical models and reciprocal processes in recent years. There are no listed scientific awards or honors in the provided materials. Torkel Erhardsson actively contributes to the academic life at Linköping University, participating in seminars in statistics and mathematical statistics. There is no public information indicating student advising, grant funding, or leadership of specific research labs or teams.
Fredrik Bäckhed is a Professor in the Department of Molecular and Clinical Medicine at the University of Gothenburg. He holds a PhD in infectious biology from Karolinska Institutet and completed postdoctoral training under Jeffrey Gordon at Washington University, where he pioneered research on gut microbiota’s role in energy metabolism and obesity. Currently, he directs the Wallenberg Laboratory for Cardiovascular and Metabolic Research at Sahlgrenska University Hospital and will lead the Novo Nordisk Foundation-funded Microbiome and Health Initiative (MHI) starting November 2024. His research focuses on understanding how the gut microbiota influences metabolic and cardiovascular diseases, including diabetes and atherosclerosis. Key contributions include identifying microbial metabolites as regulators of cardiometabolic health and developing next-generation probiotics. He has secured major grants, such as the ERC Advanced Grant, and publishes regularly in top journals like Nature and Cell . Dr. Bäckhed’s work emphasizes translational applications, aiming to translate microbiome discoveries into clinical therapies. His team explores microbial metabolites (e.g., imidazole propionate, deoxycholic acid) as disease mediators and biomarkers. Collaborations span global institutions, and he advocates for multidisciplinary approaches to tackle complex diseases. Notable awards include the Royal Swedish Academy of Engineering Science Gold Medal (2020). His lab’s success stems from fostering diverse, collaborative environments and integrating clinical, preclinical, and omics-based research methodologies.
Raimund Feifel is a Professor in the Department of Physics at the University of Gothenburg. His research focuses on ultrafast dynamics, attosecond science, and quantum control using advanced spectroscopic techniques. He leads studies involving photoelectron spectroscopy, time-resolved spectroscopy, and the application of free-electron lasers (FELs) to probe molecular and electronic processes. Feifel's work addresses core-valence interactions, molecular fragmentation, and electronic relaxation in systems like thiouracil, acetylene, and sulfur-based molecules. He collaborates internationally on projects such as the Attohallen facility in Sweden and experiments at FERMI FEL. His research emphasizes coherent control, entanglement generation, and ultrafast reaction pathways in chemical reactions and photon-matter interactions. Key contributions include studies on attosecond pulse shaping, double ionization dynamics, and the structural analysis of molecular dications. His group develops novel timing tools for FEL experiments and investigates phenomena like hydrogen roaming and electronic decoherence in complex systems. Feifel's lab integrates state-of-the-art instrumentation for coincidence spectroscopy, enabling detailed analysis of correlated electron-ion dynamics. His publications span high-impact journals in physics and chemistry, reflecting interdisciplinary contributions to light-matter interaction studies.
György Dán is a Professor in Teletraffic Systems at KTH Royal Institute of Technology, Stockholm, Sweden. He holds a Ph.D. in Telecommunications from KTH (2006) and has extensive academic leadership roles, including Director of Third Cycle Education. His research focuses on networked systems design, with expertise in critical infrastructure security, edge computing, and cyber-physical systems. Dán has supervised over 20 PhD students and led major projects like VR DICE6G and REACT. He has authored/co-authored over 150 publications, receiving awards such as the Ericsson Research Foundation Award (2010-2014) and the 2020 KTH PhD Supervisor of the Year. Education Ph.D. in Telecommunications, KTH Royal Institute of Technology (2006) M.Sc. in Business Administration, Corvinus University of Budapest (2003) M.Sc. in Computer Engineering, Budapest University of Technology and Economics (1999) Research Interests His work spans applied game theory, smart grid security, mobile edge computing, and adversarial machine learning. Current projects include resilient edge computing systems and secure AI for cyber-physical infrastructures. Awards & Recognition Best Paper Awards at SNCNW 2025, IEEE SmartGridComm 2014, and IEEE Infocom 2008 Fulbright Visiting Scholar (University of Illinois, 2012-2013) Invited Professor at EPFL (2014-2015) Labs & Collaborations He leads the Network and Systems Engineering Division at KTH, collaborating with industries like Ericsson and ABB. His group focuses on experimental platforms like the GreenEyes testbed and stateful serverless edge computing.
Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.
Kristina Lång is an Associate Professor (Docent), Project Leader, Specialist Physician, and Researcher in Diagnostic Radiology at Malmö. She serves as a Principal Investigator at Lund University Cancer Center (LUCC) and eSSENCE: The e-Science Collaboration. With extensive clinical experience as a breast radiologist since 2015, she uniquely bridges patient care with cutting-edge research in breast cancer diagnostics and screening. Her primary research focuses on reducing breast cancer mortality through innovative screening and diagnostic approaches. She leads the MASAI study, a large randomized trial investigating AI implementation in mammography screening, with initial results presented in 2023. Additionally, she heads the "23°N - Cancer's Tropic" project aiming to develop accessible breast diagnostics with a global health perspective, particularly for low- and middle-income countries where late detection contributes to high mortality rates. Her work spans translational imaging, breast tomosynthesis, and AI applications in radiology, addressing both high-resource and resource-limited settings. Recent publications reveal a strong emphasis on AI applications in breast cancer screening and diagnostics, examining cost-effectiveness, screening performance metrics, AI classification in point-of-care ultrasound, and recurrence patterns. Her research bridges clinical practice with technological innovation, with particular attention to real-world implementation and global accessibility across diverse healthcare systems. Junior Clinical Investigator Award (2025) Carla Boetes Award, European Society of Breast Imaging (2024) Nature Medicine Notable Advances 2023 (2023) IVAs 100-lista recognition (2023) Most cited breast imaging paper award, European Radiology (2023) Dr. Lång has secured significant funding from organizations including UMAS Cancer Foundation, Cancerfonden, and Mats Paulsson Foundation. She actively supervises research projects and has presented her work at major conferences including the 7th Swedish Cancer Research Meeting (2025). Her team includes collaborators across radiology, computer science, and global health disciplines, working on multiple active projects from 2024-2028 focused on improving breast cancer outcomes worldwide.
Svenbjörn Kilander is a Senior Lecturer at Mid Sweden University's Department of Humanities and Social Sciences, based in Östersund. His career spans over four decades with publications ranging from 1981 to 2023. Education: Doctoral thesis from Uppsala University (1981) Key Research Areas: Swedish history, industrialization processes, societal transformation, public health history, and regional development Research Focus explores the interplay between industrialization and social change in Northern Sweden, particularly in Jämtland, and examines knowledge production's impact on societal structures. His work bridges historical analysis with contemporary regional development. Publications Trends reveal a focus on Nordic modernization, with recurring themes of regional identity , industrialization , and health policy across temporal scales. Articles span historical sociology , cultural geography , and political economy . Collaborative Work includes the 2021 artistic output Man in the forest, the forest in man , co-created with interdisciplinary artists and researchers.
