I am an associate professor and the Computer Communications Lab head at the Faculty of Computer and Information Science (FRI), University of Ljubljana, Slovenia. My research deals with mobile computing. Lately I have been focused on mobile sensing and machine learning, approximate mobile computing, and the sustainable computing.
Contact:
- email: Veljko.Pejovic [at] fri.uni-lj.si
- post: Room 3.70 Faculty of Computing and Information Science University of Ljubljana, Vecna pot 113, Ljubljana, Slovenia
Researcher positions (internship and PhD) in Mobile Computing!
I am looking for researchers passionate about making mobile devices more resource efficient to join us at the University of Ljubljana. More info!
News
- I am on the Programme Committee for ACM MobiCom, DATE, and IntelligentEnvironments conferences, and I serve as an Associate editor for ACM IMWUT and ACM JCSS. Please consider submitting your work to these venues.
- What is it like working with us? Check out these cool Facebook reels to find out! video 1 and video 2
Recent publications
- In collaboration with KAUST we have developed a novel method for privacy-preserving profiling of datasets for federated learning. The article is going to be presented at ECML PKDD conference in Naples, Italy in September.
- Evaluating behavioural authentication methods has never been easier, thanks to EBAT! While you are at it, consider reading about P2ESA, Andraz's method for privacy-preserving environmental sensor-based authentication.
- AgriAdapt project has culminated with three publications: on adaptable neural network for image segmentation, a method for dynamically determining the most suitable network configuration, and a description of the UAV system for precision agriculture.
- Smartphone sensing is losing its popularity in research. Read about it in my latest IEEE Pervasive Computing paper.
- On March 31st in Rotterdam you can hear all about our work on a split learning framework at EuroMLSys, as well as our on-device LLM for semantic inference on Android phones at EdgeSys.
- Alina's recent paper on adaptation algorithms completes her work on compressive sensing-inspired deep learning for ubiquitous computing. Previously she has developed a novel adaptive processing pipeline and has thoroughly surveyed the domain.