Veljko Pejovic
I am an assistant professor 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
Academic history:
- Postdoctoral Research Fellow, University of Birmingham, UK, 2012-2014
- PhD Computer Science, University of California Santa Barbara, USA, 2012
- BS Computer Science and Engineering, University of Belgrade, Serbia, 2006
News
- Sep 2021: Martin Gjoreski (USI,) and myself held an online workshop on Cognitive load Inference from Physiological Signals at Neuroergonomics Conference 2021 (video)
- June 2021: Two years ago we conducted research on the use of social roles for interruptibility management. We haven't had luck with publishing this, however, folks from Apple have shown interest in our work on a few occasions. Recently announced iOS 15 brings social role-driven notification managment to mobile devices. A coincidence? To offer a chance to learn more about our approach we put our pre-print on arXiv.
- June 2021: Andraz Krasovec's work in collaboration with the Joint Research Centre of the European Commission on privacy-preserving authentication in IoT environments has been accepted to BASS workshop with ARES'21 conference! Preprint available.
- May 2021: Emir Hasanbegović's brilliant Bachelor thesis work on context-aware mobile news reading app adaptation has been accepted to ACM UMAP as a long paper! Preprint available.
- May 2021: David Jelenc (University of Ljubljana) and myself held online workshops (in Slovenian) on Android programming with Kotlin and Location sensing in Android [Link with video and materials soon]
Recent publications
- Recently we started exploring the interplay of compressive sensing and deep learning. Alina's survey of this exciting domain is now on arXiv.
- Lessons learnt from the cognitive load inference ML challenge we organised last year are now summarised in our IEEE Access paper.
- Wi-Mind system for wireless cognitive load inference is presented in our latest Internation Journal of Human-Computer Interaction (IJHCI) paper.
- Our recent work on context-aware mobile neural network approximations is going to be presented at the EuroMLSys workshop with EuroSys 2021 in April 2021 [free registration].