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.
From Passive Monitoring to Active Defense: Resilient Control of Manipulators Under Cyberattacks (Jun 2026) Gabriele Gualandi, Alessandro Papadopoulos 2026 IEEE International Conference on Robotics and Automation (ICRA 2026)
Resource-Aware Self-Triggered Control with Discrete-Time Control Barrier Functions (May 2026) Marcello Domenighini, Paolo Pazzaglia , Christoph Mark , Kevin Schmidt , Laura Beermann , Alessandro Papadopoulos 2026 American Control Conference (ACC 2026)
Physics-Informed Recurrent Architecture with Embedded Thermodynamic Dynamics for Robust Sequence Modeling (Apr 2026) Zafer Yigit, Håkan Forsberg, Masoud Daneshtalab 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026)
Prescriptive watering: Data-driven optimization of water consumption in kiwifruit orchards (Jan 2026) Alex Baiardi , Matteo Francia , Matteo Golfarelli , Alessandro Papadopoulos Computers and Electronics in Agriculture (COMPAG)
Conditions for Mean and First-Moment Stability of Positive Markov Jump Linear Systems with Time-Varying Subsystems (Dec 2025) Vittorio De Iuliis , Mojtaba Kaheni, Alessandro Papadopoulos, Costanzo Manes 64th IEEE Conference on Decision and Control (CDC) (CDC 2025)
A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations (Dec 2025) Mojtaba Kaheni, Niklas Persson, Vittorio De Iuliis , Costanzo Manes , Alessandro Papadopoulos 64th IEEE Conference on Decision and Control (CDC) (CDC 2025)
