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 security in the IoT domain.
Contact:
email: Veljko.Pejovic [at] fri.uni-lj.si
post: Room 3.15
Faculty of Computing and Information Science
University of Ljubljana,
Vecna pot 113,
Ljubljana, Slovenia
Researcher positions (internship and PhD) in Approximate 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 a Programme Committee for ACM MobiSys, ACM UMAP, and DATE, and I serve as an Associate editor for ACM IMWUT and ACM JCSS. Please consider submitting your work to these venues.
Jan 2023: What is it like working with us? Check out these cool Facebook reels to find out! video 1 and video 2
Sept 2023: How to make precision agriculture drones fly longer with approximate computing? Our group's research on that front is presented in this Finance article (in Slovenian).
May 2023: Kicking off my sabbatical in UK, I presented our research at Lancaster University and Manchester University. Looking forward to meet more UK-based researchers at MobiUK in July, where Alina’s work on compressive sensing-inspired mobile deep learning is going to be presented.
Nov 2022: Matevž Fabjančič’s MS thesis won the Best Thesis Award at University of Ljubljana! You can find a brief interview with Matevž and Veljko here (in Slovenian).
Nov 2022: I presented our group’s latest research at University of California, Santa Barbara. Less than a month after presenting the work at my other alma mater University of Belgrade.
Mobiprox - a mobile computing compiler suite that enables dynamically adaptable approximate computing is now published by IEEE Internet of Things Journal. This is a joint work with University of Illinois Urbana-Champaign.
Approximate mobile computing for UAV-based precision agriculture is demonstrated in our latest NET4us workshop paper.
In our latest ACM GetMobile piece we present a vision of an accuracy-tuneable accelerator for mobile deep learning.
Recently we started exploring the interplay of compressive sensing and deep learning. Alina's survey of this exciting domain has recently been published by Artificial Intelligence Review.
In the compressive sensing-inspired deep learning domain we also propose a novel adaptive processing pipeline described in our ACM Computing Frontiers paper.