Division of Intelligent Future Technologies
Focus:
Our undergratuate programs should deliver top engineering education and our students should be attractive and a first choice for companies looking for employees. Our two programs, Högskoleingenjör in Aeronautical engineering and Civilingenjör in Robotics, are designed to give the students a good balance between practical skills and theory in order to create complete engineers.
The research at the department consists of Robotics, Biomedical Engineering, Helath technology, Artificial Intelligence and the new and recently started research within Avionics. Our research is mainly applied and often from a system perspective. We build systems that can be used as proof of principles or as demonstrators to show the practical use of our research results. The research problems are often derived from real problems that exist within the industry or the public sector.
FedLoRASwitch: Efficient Federated Learning via LoRA Expert Hotswapping and Routing (Oct 2025) Joakim Flink, Bostan Khan, Masoud Daneshtalab The 3rd IEEE International Conference on Federated Learning Technologies and Applications (FLTA25)
A Field-based Approach for Runtime Replanning in Swarm Robotics Missions (Sep 2025) Gianluca Aguzzi , Martina Baiardi , Angela Cortecchia , Branko Miloradovic, Alessandro Papadopoulos, Danilo Pianini , Mirko Viroli 6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) (ACSOS 2025)
Stochastic Scheduling for Human-Robot Collaboration in Dynamic Manufacturing Environments (Aug 2025) Anders Lager, Branko Miloradovic, Giacomo Spampinato , Thomas Nolte, Alessandro Papadopoulos 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025)
A Formal Definition of the Multi-Robot Multi-Task Time-extended Assignment Problem Configuration (Aug 2025) Branko Miloradovic, Alessandro Papadopoulos IEEE 21st International Conference on Automation Science and Engineering (CASE 2025)
HeRD: Modeling Heterogeneous Degradations for Federated Super-Resolution in Satellite Imagery (Jul 2025) Bostan Khan, Seyedhamidreza Mousavi, Masoud Daneshtalab Journal of IEEE Access (IEEE-Access)
Frequency Domain Complex-Valued Convolutional Neural Network (Jul 2025) Mainak Chakraborty, Masood Aryapoor , Masoud Daneshtalab Expert Systems with Applications: X (ESWA: X)
