Veljko Pejovic
I am an assistant professor at the Faculty of Computer and Information Science (FRI), University of Ljubljana, Slovenia. My research covers mobile computing, wireless networks and information and communicaton technologies for development. Lately I have been focused on mobile sensing, anticipatory mobile computing, and the analysis of mobile data traces.
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
I am actively recruiting motivated PhD students! I have a number of active and potential projects on mobile sensing for human behaviour inference, on resource-efficient mobile computing, and on mobile data analysis. 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) with your up-to-date CV if you want to chat about doctoral study topics. More info about the application process.
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
- Dec 2018: Congratulations to Jasna Urbančič for defending her MS thesis on transport mode detection using low-resource mobile sensing. A part of Jasna's work was published at the Slovenian Conference on Data Mining and Data Warehouses in Ljubljana [video presentation].
- Oct 2018: Congratulations to Tilen Matkovič for defending his MS thesis on wireless cognitive load inference. You can read more about his work in our UbitTention workshop paper.
- Oct 2018: I will be giving a keynote talk at Ubiquitous Personal Assistence Workshop (collocated with UbiComp in Singapore, October 2018) on "Unobtrusive Cognitive Load Inference for Ubiquitous Computing Adaptation".
- April 2018: Thanks to the COST Action CA15121 I have spent some time in London working with the UCL ExCites group on analysing HCI issues in mobile data collection applications targeting users in rural developing regions. Slides from my presentation given at the Workshop on lessons learned from volunteers’ interactions with geographic citizen science applications (London, April'18) can be found here.
Recent publications
- My vision of the future of mobile computing, where the accuracy of a computed result is adapted to a user's context-dependent needs is presented in a paper titled Towards Approximate Mobile Computing, soon to appear in ACM GetMobile Magazine (meanwhile you can find it on arXiv).
- Our RICERCANDO framework for mining mobile broadband measurement data is presented in a recent paper (on arXiv): V. Pejovic, I. Majhen, M. Janez and B. Zupan, RICERCANDO: Data Mining Toolkit for Mobile Broadband Measurements. The code is available on RICERCANDO GitHub repository.
- Two of our papers about cognitive load inference will be presented at UbiTtention Workshop: one with using commodity wearable devices, the other on using a custom wireless radar for inferring cognitive load. Congratulations to Tilen Matkovic, and Martin Gjoreski and Mitja Lustrek, our coauthors from Institut Jozef Stefan, Ljubljana
- Interested in attention management in ubiquitous computing, but not sure where to start from? Build a strong background and get some research ideas from our latest contribution (written in collaboration with Kassel University, Germany, and published by ACM IMWUT).
- Joint work with KNU, South Korea on deep learning-based channel prediction model for vehicular communication has been published by IEEE Access. Congratulations Jhihoon!