Veljko Pejović

Description

I am an assistant professor at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia. My research is focused on mobile deep learning, approximate computing, and resource-efficient computing.

NEWS

Attractive postdoc opportunity in mobile AI with the application deadline on October 21st!

I am looking for motivated PhD students! I have a number of active and potential projects on federated learning, compressive sensing for mobiles, and approximate mobile computing. The University of Ljubljana, Slovenia is one of the top research universities in the region, offers a range of teaching and research fellowships and is located in one of the most beautiful parts of Europe. Please email me (Veljko.Pejovic [at] fri.uni-lj.si) if you want to chat about PhD studies here.

In addition, please get in contact if you are interested in doing your bachelor or masters thesis under my supervision in year 2023/2024.

Education

PhD, Computer Science, University of California, Santa Barbara, USA, 2012
dipl. ing (BS) University of Belgrade, Serbia, 2006

Classes

Laboratory

Projects

Past projects

Internacionalizacija UL
Projects Structural Funds26.07.2013 - 30.06.2015
RICERCANDO - MONROE - Rapid Interpretation and Cross-Experiment Root-Cause Analysis in Network Data with Orange
European projects(RICERCANDO - MONROE), 01.07.2016 - 30.06.2018
Citizen science to promote creativity, scientific literacy and innovation throughout Europe (COST Action CA15212)
Other international projects21.09.2016 - 20.09.2020
Pogodba za izdelavo študije o možnostih uporabe podatkov agencije
26.10.2017 - 28.02.2018
Mobilno računanje za učinkovito razširjanje informacij v izrednih razmerah
Bilateral projects01.10.2019 - 30.09.2021
DECENTER - Decentralised technologies for orchestrated cloud-to-edge intellingce
European projects(DECENTER), 01.07.2018 - 30.06.2021
N2-0136 - Bringing Resource Efficiency to Smartphones with Approximate Computing
Research projects ARRS(N2-0136), 01.01.2020 - 31.12.2021
J2-3047 - Context-aware on-device approximate computing
Research projects ARRS(J2-3047), 01.10.2021 - 30.09.2024
AgriAdapt - Energy efficient UAV-based agriculture through real-time neural network adaptation
European projects(AgriAdapt), 16.01.2023 - 16.10.2023

Publications

Selected publications

M. Fabjančič, O. Machidon, H. Sharif, Y. Zhao, S. Misailović, V. Pejović
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
IEEE Internet of Things Journal (2024).
A. Machidon and V. Pejović
Adaptive data-driven subsampling for efficient neural network inference
Signal, Image and Video Processing (2024).
A. Machidon and V. Pejovic
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference - A Ubiquitous Systems Perspective
Artificial Intelligence Review (2022).
A. Krasovec, D. Pellarini, D. Geneiatakis, G. Baldini, and V. Pejovic
Not Quite Yourself Today: Behaviour-Based Continuous Authentication in IoT Environments
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020
V. Pejovic, M. Gjoreski, C. Anderson, K. David, and M. Lustrek
Towards Cognitive Load Inference for Attention Management in Ubiquitous Systems
IEEE Pervasive Computing (2020)
V. Pejovic, I. Majhen, M. Janez, and B. Zupan
RICERCANDO: Data Mining Toolkit for Mobile Broadband Measurements
Computer Networks (2020)
A. Mehrotra, V. Pejovic, and M. Musolesi
FutureWare: Designing a Middleware for Anticipatory Mobile Computing
IEEE Transactions on Software Engineering (2019).
V. Pejovic and A. Skarlatidou
Understanding Interaction Design Challenges in Mobile Extreme Citizen Science (Open Access)
International Journal of Human–Computer Interaction (2019)
V. Pejovic
Towards Approximate Mobile Computing
ACM GetMobile Magazine, Vol 22(5), December, 2018.
A. Mehrotra, V. Pejovic, J. Vermeulen, R. Hendley and M. Musolesi
My Phone and Me: Understanding User’s Receptivity to Mobile Notifications
ACM CHI'16, San Jose, CA, USA, May 2016.
V. Pejovic and M. Musolesi
Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
ACM Computing Surveys (CSUR) 47.3 (2015)
A. Lima, M. De Domenico, V. Pejovic and M. Musolesi
Disease Containment Strategies based on Mobility and Information Dissemination
Nature Scientific Reports, 10650; doi: 10.1038/srep10650 (2015).
V. Pejovic and M. Musolesi
InterruptMe: Designing Intelligent Prompting Mechanisms for Pervasive Applications
UbiComp'14, Seattle, WA, USA, September 2014. Best Paper Nominee (top 4%).
V. Pejovic and E. M. Belding
WhiteRate: A Context-aware Approach to Wireless Transmission Adaptation.
IEEE Transactions on Mobile Computing, Vol 13 (2014)