PhD Studies at the Faculty of Computer and Information Science (FRI), University of Ljubljana, Slovenia
FRI PhD programme provides access to top scientific advisors, cutting-edge courses, brand new research facilities, and lets you choose from a range of research topics for your PhD thesis. If you are considering applying for the PhD studies at FRI and if you are interested in mobile computing, mobile sensing, human-computer interaction, and similar fields, please contact me via email and include your CV in the attachment.
More info about the PhD programme can be found in the brochure and PhD studies webpage.
Advice for Future PhD Students
PhD studies require a very high level of self-discipline, motivation and persistence. Unlike with your undergraduate, and to an extent MS studies, no one will pull you into finishing your PhD studies. The work you do is your own accomplishment, and you should take it personally, put a lot of effort and pride into it. Therefore, it is of key importance that you are ready to drive your own research, to demonstrate creativity, but also the ability to manage your resources (time in particular!).
My research is grounded in theory, yet is highly systems oriented. Programming is a crucial skill you need for building mobile systems, but also analysing mobile datasets. You should be proficient in at least one scripting language (e.g. Python) and one object-oriented language (e.g. Java). To understand where the state of the art is in your research field, you need to be able to critically read scientific papers. Expect to read and learn a lot, especially during the first year of your PhD studies. Finally, you will need to show the world your fantastic findings and inventions that will revolutionse the world! You will do that predominantly through scientific publications, so analytical writing in English is another skill you need in order to successfully complete your PhD studies.
Choosing your PhD mentor is one of the most important decisions of your career. If you want to work with me you should read my webpage to get a general feel of my research approach and directions, read a few of my research papers aligned to your interests, and brainstorm a bit about how to extend the state of the art in the field you're interested in. Then, please contact me to discuss more about potential advising in person (or via Skype).
NOTE: Good programming skills are essential for successfully completing a PhD under my mentorship, thus you will be given a programming assignment in order to assess whether you would be a good fit for our research group.
Advice for Future MS and BS Students
I am open for mentoring MS/BS students' dissertations. If you are already at FRI, you can find a list of topics that I proposed for MS/BS theses at MS theses/BS theses. Otherwise, I encourage you to brainstorm about a potential thesis topic that aligns with my research and write me an email stating what you'd like to work on for your thesis and why you want to complete the thesis under my supervision.
Current students and postdocs
- Dr. Octavian Machidon, postdoc, area: approximate mobile computing
- Dr. Alina Machidon, postdoc, area: compressive sensing for mobile computing
- Andraž Krašovec, PhD (collaborative doctoral programme with JRC)
- Christoph Anderson, PhD (coadvisor), Kassel University, Germany
- Matevž Fabjančič, MS, thesis topic: compiler support for approximate mobile computing
- Katja Logar, MS, thesis topic: attention-based mobile approximation
- Timotej Knez, MS, thesis topic: dynamic context-based adaptation of on-device deep learning
- Emir Hasanbegović, BS, thesis title: "The Role of Mobile Device Context in Perceiving News App View Layouts"
- Dr. Miha Janež, postdoc, area: mobile broadband mesurement analysis, 2018
- Ivan Majhen, research assistant, area: mobile computing, power and network measurement analysis, 2017-2020
- Jhihoon Joo, visiting PhD student from KNU, South Korea, area: vehicle-to-vehicle wireless channel analysis and prediction, spring 2018
- Andraž Krašovec, MS, thesis title: "Continuous Authentication in IoT Environments"
- Jasna Urbančič, MS, thesis title: "Transportation Mode Detection Based on Mobile Sensor Data", co-advised with Dr Dunja Mladenič, defended December 2018
- Tilen Matkovič, MS, thesis title: "Inferring Cognitive Load using Wireless Signals", defended November 2018.
- Gašper Urh, MS, thesis title: "Mobile Sensing for Task Engagement Inference", defended October 2016.
- Nejc Bizjak, MS, thesis title: "Context Prediction-Based Prefetching in Software-Defined Wireless Networks", defended October 2016.
- Andrej Martinovič, BS, thesis title: "The Analysis of the Role of the Context on Mobile Ad Perception"
- Aleksandar Cuculoski, BS, thesis title: "Energy-Efficient Intelligent Mobile Notification Management"
- Amadej Janković, BS, thesis title: "Personalised push notifications for motivating behaviour change through a mobile applicationĆ"
- Tine Fajfar, BS, thesis title: "Resource consumption analysis of approximate video decoding for mobile devices", defended April 2020
- Aljaž Verlič, BS, thesis title: "Anomaly Detection in Mobile Broadband Measurements", defended December 2019
- Timotej Knez, BS, thesis title: "Analysis of Physiological Signal Elicited by Mobile Gaming", defended September 2019
- Martin Frlin, BS, thesis title: "Developing Software Tools for In Situ Cognitive Load Estimation", defended March 2019.
- Rosanda Potrebuješ, BS, thesis title: "Mobile Application for Context Inference at Entertainment Events", defended March 2019.
- Ziga Kljun, BS, thesis title: "Mobile computing support for warehouses", defended August 2018.
- Marko Ceferin, BS, thesis title: "Specification and Implementation of a Light-Weight Internet Content Delivery Platform", defended October 2017.
- Dongho Kim, visiting student from KNU, South Korea, area: approximate mobile computing, summer 2019
I have also assisted with mentoring:
- Abhinav Mehrotra, University of Birmingham, UK
- Karthikeya Udupa Kuppar Manjunath, University of Birmingham, UK
- Abhinav Anand, University of California Santa Barbara, USA