by Tove Kvarnström | Feb 28, 2023
PI: Wojciech Mostowski (HH); co-PI Christoph Reichenbach (LU) This project focuses on developing new methods in static analysis to achieve verifiable energy efficiency of software. Research on energy efficiency typically focuses on hardware, but a lavishly designed or...
by Tove Kvarnström | Feb 28, 2023
PI: Joachim Rodrigues (LU); co-PI: Oscar Gustafsson (LiU) A promising technique to boost performance and energy efficiency in data-centric computing architectures is the integration of computation logic in the near proximity of on-chip memory. In this project, we...
by Tove Kvarnström | Feb 28, 2023
PI: Richard Pates (LU); co-PI: Anders Hansson (LiU) Many classical optimal methods for estimation and control have provable robustness and performance guarantees that can enhance the sustainability and resilience of engineering systems. However, their implementation...
by Tove Kvarnström | Feb 28, 2023
PI: Buon Kiong Lau (LU); co-PI: Alireza Saberkari (LiU) Today, small devices can only be charged efficiently by wire connection or short-range, magnetic coupling based wireless power transfer (WPT), which is inconvenient to users. Long-range WPT has been attempted,...
by Tove Kvarnström | Feb 28, 2023
PI: Viktor Larsson (LU); co-PIs: Mårten Wadenbäck (LiU), Michael Felsberg (LiU) This project concerns 3D mapping methods which are used to enable re-localization and navigation in large-scale environments. In particular, we will focus on sparse reconstruction methods...
