Ongoing Research pairs projects
The funding instrument Research pairs is intended to foster collaboration between two young researchers that have obtained their doctoral degrees not more than ten years ago at the time of application. The researchers in the pair should belong to either i) two different KTH schools, ii) KTH school and RISE/Stockholm University, or iii) RISE and Stockholm University.
The instrument is aimed to identify new research collaborations that have potential to develop into a leading scientific activity over the next three to five years and therefore be a vehicle for supporting and promoting young scholars with the potential to become future digital leaders. The 2-year projects should address cutting-edge research within subject areas at the intersection of the Research matrix and should involve researchers that complement each other and conduct interdisciplinary research.
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Advanced Magnetic Resonance Elastography for the Brain
Combining magnetic resonance elastography (MRE) and advanced diffusion magnetic resonance imaging (dMRI) to develop the next generation of MRE methods to improve the biomechanical characterization of brain tissue...
AI-based Positioning and Personalization Platform for Human Body Models (HBMs)
A tranformative tool for driving innovations relating to Human Body Models to eliminate the need for users to tackle personalization and positioning...
Analysis and Synergy of Hyper-networked Autonomy at the Societal Scale
Developing analysis and synergy mechanisms for complex systems consisting of high-order interactions, with a particular focus on opinion and societal-scale dynamics on hypernetworks...
BioAct: self-powered biodegradable pressure sensor for wireless post-surgical patient management
A self-powered biodegradable pressure sensor with the potential for wireless data transmission that is tested in vitro under conditions that mimic the in vivo environment of physiological blood flow...
cAIMBER: Causal Artificial Intelligence for Human Mobility Behavior Analysis Using Trajectory Data
Targets the root cause of traffic (human) and novel analytic techniques to learn and predict human mobility behaviour dynamics from pervasive...
CIML4MOB: Causally informed machine learning for individual mobility dynamics
A mobile cyber-physical system where people carrying mobile sensors generate large amounts...
DeepFlood: Enhancing large scale Flood Detection and Mapping using PolSAR, Metaheuristic, and Deep Learning Algorithms
Improving our fundamental understanding of SAR-based flood mapping by developing novel hybrid PolSAR-metaheuristic-DL models...
Digital Twins of Human Neuromusculoskeletal System: Challenges and Future Perspectives in Personalized Neurorehabilitation
Tackle several methodological and technical challenges encountered during the first phase of developing digital twins of the personalized...
Faster-than-real-time and high-resolution simulation of fluid flow in engineering applications: indoor climate as a pilot
Development of fast numerical and inexpensive experimental approaches for obtaining feasible low-resolution flow data as input for super-resolution...
Guaranteeing Pro-Active and Reactive Safety in intersections through resource management at the Edge (GPARSE)
Mitigating the harm of collisions on road intersections proactively and reactively using edge infrastructure...
Transforming Engineering Education with Multimodal GenAI and Intelligent Agents for Improving Students’ Problem-Solving Skills
Develop and evaluate a pedagogically-aligned virtual teaching assistant (μTA) powered by LμMs to support problem-solving with physical systems in real-world settings for engineering education...
SHIFT-DT: Sustainable, Holistic, Integrated Framework for Ship Design and Production Transformation through Digital Twins
Novel approach positions digital twin technology as the next-generation solution for sustainable ship design and production...
XR Horizons: Unravelling Multi-User Interaction, Multisensory Experiences, and Ethical Considerations in the Realm of Spatial Computing
Understanding the relationship between the use of extended...