Veljko Pejovic -- Assistant Professor, University of Ljubljana, Slovenia

Journals, Conferences, Book Chapters

B. Radovič, M. Aljahdali, M. Canini, V. Pejović, and Z. Khayyat
Train your cake and eat it too! Repurposing collaborative training to tailor LLMs to private data without sharing
Workshop on Efficient Systems for Foundation Models (with ICML), Jul 2024.
A. Krašovec, G. Baldini, and V. Pejović
Multimodal Data for Behavioural Authentication in Internet of Things Environments
Data in Brief (2024).
A. Machidon and V. Pejović
Adaptive data-driven subsampling for efficient neural network inference
Signal, Image and Video Processing (2024).
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).
O. Machidon, A. Krašovec, A. Machidon, V. Pejović, D.Latini, S. Sasidharan, and F. Del Frate
AgriAdapt: Towards Resource-Efficient UAV Weed Detection using Adaptable Deep Learning
NET4us workshop (with MobiCom), October 2023
R. Pilipovic, V. Pejovic, and O. Machidon
In Search of an Accuracy-Tuneable Accelerator Platform for Ubiquitous Computing
ACM GetMobile (2023)
C. Anderson, J. Heinisch, S. Deldari, F. Salim, S. Ohly, K. David, and V. Pejovic
Toward Social Role-Based Interruptibility Management
IEEE Pervasive Computing (2023)
O. Machidon, J. Asprov, T. Fajfar, and V. Pejovic
Context-Aware Adaptation of Mobile Video Decoding Resolution
Multimedia Tools and Applications (2023)
A. Machidon and V. Pejovic
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference - A Ubiquitous Systems Perspective
Artificial Intelligence Review (2023).
A. Machidon and V. Pejovic
Enabling Resource-Efficient Edge Intelligence with Compressive Sensing-Based Deep Learning
ACM Computing Frontiers, May 2022
A. Jankovic, T. Kolenik, and V. Pejovic
Can Personalization Persuade? Study of Notification Adaptation in Mobile Behavior Change Intervention Application
Behavioral Sciences, 12(5), 116. (2022)
A. Krasovec and V. Pejovic
Investigating Sensor Modality Informativeness and Stability for Behavioural Authentication
Human-Computer Interaction Slovenia 2021 (HCI-SI 2021), November 2021
A. Jankovic, T. Kolenik, and V. Pejovic
The Role of Personality-Tailored Notifications in Mobile-Based Behavior Change Interventions
Human-Computer Interaction Slovenia 2021 (HCI-SI 2021), November 2021
A. Kristan, D. Pellarini, and V. Pejovic
Not Deep Enough: Autoencoders for Automatic Feature Extraction in Wireless Cognitive Load Inference
Human-Computer Interaction Slovenia 2021 (HCI-SI 2021), November 2021
T. Knez, O. Machidon, and V. Pejovic
Self-Adaptive Approximate Mobile Deep Learning
Electronics (2021)
A. Krasovec, G. Baldini, and V. Pejovic
Opposing Data Exploitation: Behaviour Biometrics for Privacy-Preserving Authentication in IoT Environments
3rd International Workshop on Behavioral Authentication for System Security (BASS) collocated with ARES'21, August 2021
M. Gjoreski, B. Mahesh, T. Kolenik, J. Uwe-Garbas, D. Seuss, H. Gjoreski, M. Lustrek, M. Gams, and V. Pejovic
Cognitive Load Monitoring with Wearables - Lessons Learned from a Machine Learning Challenge
IEEE Access (2021)
E. Hasanbegovic and V. Pejovic
Uncovering Personal and Context-Dependent Display Preferences in Mobile Newsreader App
ACM UMAP, June 2021
V. Pejovic, T. Matkovic, and M. Ciglaric
Wireless Ranging for Contactless Cognitive Load Inference in Ubiquitous Computing (open access)
International Journal of Human-Computer Interaction (2021)
O. Machidon, D. Sluga, and V. Pejovic
Queen Jane Approximately: Enabling Efficient Neural Network Inference with Context-Adaptivity
EuroMLSys workshop with EuroSys 2021
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
O. Machidon, T. Fajfar, and V. Pejovic
Watching the Watchers: Resource-Efficient Mobile Video Decoding through Context-Aware Resolution Adaptation
EAI MobiQuitous 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)
M. Gjoreski, T. Kolenik, T. Knez, M. Lustrek, M. Gams, H. Gjoreski, and V. Pejovic
Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits
MDPI Applied Sciences (2020)
V. Pejovic, I. Majhen, M. Janez, and B. Zupan
RICERCANDO: Data Mining Toolkit for Mobile Broadband Measurements
Computer Networks (2020)
V. Pejovic
Towards a Holistic Net Neutrality Violation Detection System: A Case Study of Slovenia
Journal of Network and Systems Management (2020)
A. Martinovic and V. Pejovic
Investigating the Role of Context and Personality in Mobile Advertising
HCI-IS, Ljubljana, Slovenia, October 2020
A. Cuculoski and V. Pejovic
Trading Energy for Accuracy in Mobile Interruptiblity inference
Ubittention workshop with UbiComp'20, Cyberspace, September 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)
J. Joo, M.C. Park, D.S. Han, and V. Pejovic
Deep Learning-based Channel Prediction in Realistic Vehicular Communications
IEEE Access (2019).
C. Anderson, J. Heinisch, S. Ohly, K. David, and V. Pejovic
The Impact of Private and Work-Related Smartphone Usage on Interruptibility
Ubittention workshop with UbiComp'19, London, UK, September 2019
V. Pejovic
Towards Approximate Mobile Computing
ACM GetMobile Magazine, Vol 22(5), December, 2018.
C. Anderson, I. Hübener, A. Seipp, S. Ohly, K. David, and V. Pejovic
A Survey of Attention Management Systems in Ubiquitous Computing Environments
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), June 2018.
T. Matkovic and V. Pejovic
Wi-Mind: Wireless Mental Effort Inference
Ubittention workshop with UbiComp'18, Singapore, October 2018.
M. Gjoreski, M. Lustrek, and V. Pejovic
My Watch Says I'm Busy: Inferring Cognitive Load with Low-Cost Wearables
Ubittention workshop with UbiComp'18, Singapore, October 2018.
L. Morrison, C. Hargood, V. Pejovic, A. Geraghty, S. Lloyd, N. Goodman, D. Michaelides, A. Weston, M. Musolesi, M. Weal and L. Yardley
The effect of timing and frequency of push notifications on usage of a smartphone-based stress management intervention: an exploratory trial
PLoS ONE, Vol 12, (2017).
V. Pejovic, A. Mehrotra and M. Musolesi
Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies
a chapter in Anticipation and Medicine (ed. M. Nadin), Springer 2017.
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, N. Lathia, C. Mascolo, and M. Musolesi
Mobile-Based Experience Sampling for Behaviour Research
a chapter in Emotions and Personality in Personalized Services (eds. Tkalcic et al.), Springer 2016.
Z. Gilani, A. Sathiaseelan, J. Crowcroft and V. Pejovic
Inferring Network Infrastructural Behaviour During Disasters
IEEE CCNC, Las Vegas, NV, USA, January 2016.
G. Urh and V. Pejovic
TaskyApp: Inferring Task Engagement via Smartphone Sensing
Ubittention workshop with UbiComp'16, Heidelberg, Germany, September 2016.
A. Mehrotra, M. Musolesi, R. Hendley and V. Pejovic
Designing Content-driven Intelligent Notification Mechanisms for Mobile Applications
UbiComp'15, Osaka, Japan, September 2015.
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, D. L. Johnson, M. Zheleva, E. M. Belding and A. Lysko
VillageLink: A Channel Allocation Technique for Wide-Area White Space Networks.
In White Space Communication (pp. 249-280). Springer International Publishing, 2015.
A. Mehrotra, J. Vermeulen, V. Pejovic and M. Musolesi
Ask, Don't Interrupt: The Case for Interruptibility-Aware Mobile Experience Sampling
Mobile Systems for Computational Social Science Workshop (with UbiComp'15), Osaka, Japan, September 2015.
V. Pejovic, A. Mehrotra and M. Musolesi
Investigating The Role of Task Engagement in Mobile Interruptibility
Smarttention, Please! Intelligent Attention Management on Mobile Devices Workshop (with MobileHCI'15), Copenhagen, Denmark, August 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)
A. Mehrotra, V. Pejovic and M. Musolesi
SenSocial: A Middleware for Integrating Online Social Networks and Mobile Sensing Data Streams
ACM/IFIP/USENIX Middleware'14, Bordeaux, France, December 2014.
V. Pejovic, D. L. Johnson, M. Zheleva, E. M. Belding and A. Lysko
VillageLink: Wide-Area Wireless Coverage
COMSNETS'14, Bangalore, India, January 2014.
V. Pejovic and M. Musolesi
Anticipatory Mobile Computing for Behaviour Change Interventions
Mobile Systems for Computational Social Science Workshop (with UbiComp'14), Seattle, WA, USA, September 2014.
N. Lathia, V. Pejovic, K. Rachuri, C. Mascolo, M. Musolesi and P. J. Rentfrow
Smartphones for Large-Scale Behavior Change Intervention
IEEE Pervasive Computing, Vol 12 (3), (2013)
V. Pejovic, D. L. Johnson, M. Zheleva,E. M. Belding, L. Parks and G. van Stam
The Bandwidth Divide: Obstacles to Efficient Broadband Adoption in Rural Sub-Saharan Africa.
International Journal of Communication, Vol 6 (2012).
D.L. Johnson, V. Pejovic, E. M. Belding and G. van Stam
VillageShare: Facilitating content generation and sharing in rural networks.
ACM DEV'12, Atlanta, GA, USA, March 2012.
A.Anand, V. Pejovic, E. M. Belding and D. L. Johnson
VillageCell: Cost Effective Cellular Connectivity in Rural Areas.
ICTD'12, Atlanta, GA, USA, March 2012.
VillageCell poster
V. Pejovic and E. M. Belding
A Context-aware Approach to Wireless Transmission Adaptation.
IEEE SECON'11, Salt Lake City, UT, USA, June 2011.
WhiteRate source code
D. L. Johnson, V. Pejovic, E. M. Belding, and G. van Stam
Traffic Characterization and Internet Usage in Rural Africa.
WWW, Hyderabad, India, March 2011.
Presentation at UCSB MAT by Elizabeth Belding and Veljko Pejovic
M. P. Wittie, V. Pejovic, L. Deek, K. C. Almeroth, and B. Y. Zhao,
Exploiting Locality of Interest in Online Social Network.
ACM CoNEXT, Philadelphia, PA, USA, December 2010.
Media coverage in IEEE Spectrum
V. Pejovic and E. M. Belding,
Energy-Efficient Communication in Next Generation Rural-Area Wireless Networks.
The Second ACM SIGMOBILE Workshop on Cognitive Wireless Networking (CoRoNet), Chicago, IL, USA, September 2010.
V. Pejovic, E. M. Belding and M. Marina,
An Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing.
Networked Systems for Developing Regions (NSDR) Workshop, Big Sky, MT, USA, October 2009.

Preprints

B. Radovič and V. Pejović
REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings
Under submission (2023)
A. Lima, V. Pejovic, L. Rossi, M. Musolesi and M. Gonzalez
Progmosis: Evaluating Risky Individual Behavior During Epidemics Using Mobile Network Data.
Presented at NetMob'15 (Data for Development track), MIT, Boston, MA, April 2015.

Presentations/Posters

J. Božič, A. Faustino, V. Pejović, and M. Canini
CoLExT: Collaborative Learning Experimentation Testbed
FLower Summit, London, UK, May 2024.
O. Machidon and V. Pejovic
Energy-efficient adaptive keyword spotting using slimmable convolutional neural networks
TinyML Summit, March 2022.
V. Pejovic
[Keynote talk] Towards Unobtrusive Cognitive Load Inference for Ubiquitous Computing Adaptation
at Ubiqitous Personal Assistence Workshop (with Ubicomp'18).
V. Pejovic and A. Skarlatidou
Designing Human-Computer Interaction for Citizen Science Initiatives in Rural Developing Regions
Workshop on lessons learned from volunteers’ interactions with geographic citizen science applications, London, UK, April 2018.
V. Pejovic
RICERCANDO: Towards Mobile Broadband Measurement Mining
Cyber Retreat, Gstaad, Switzerland, January 2018.
C. Hargood, V. Pejovic, L. Morrison, D. Michaelides, M. Musolesi, L. Yardley, and M. Weal
The UBhave Framework: Developing Dynamic Mobile Applications for Digital Behavioural Interventions
Mobiquitous'14, London, UK, December 2014.
Adaptive and Resource-Efficient Rural Area Networks
Computer Lab, Cambridge, October 2013.
UBhave project team (presented by V. Pejovic and N. Lathia)
UBhave framework (part 2)
Mobile Systems for Computational Social Science Workshop, Zurich, Switzerland, September 2013.
G. van Stam, D. L. Johnson, V. Pejovic, C. Mudenda, A. Sinzala, D. van Greunen
Constraints for Information and Communications Technologies Implementation in Rural Zambia
Africomm'12, Yaounde, Cameroon, November 2012.
A. Anand, V. Pejovic, E. M. Belding, and D. Johnson
VillageCell: Cellular Connectivity in Rural Ares
Graduate Student Workshop on Computing, UCSB, Santa Barbara, CA, USA, October 2011.
D. L. Johnson, V. Pejovic and E. M. Belding
VillageNet: Next generation networking for rural areas
Engineering Insights, UCSB, Santa Barbara, CA, USA, April 2011.
V. Pejovic
Software Defined Radio for the Next Generation Wireless Networks
Meraka Institute, Pretoria, South Africa, July 2010 and Macha, Zambia, August 2010.
M. P. Wittie, V. Pejovic, L. Deek, K. C. Almeroth E. M. Belding, and B. Y. Zhao
Exploiting Locality of Interest in Online Social Networks
Graduate Student Workshop on Computing, UCSB, Santa Barbara, CA, USA, October 2009.
V. Pejovic, E. M. Belding and M. Marina,
An Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing (position paper).
ExtremeCom'09, Padjelanta National Park, Laponia, Sweden, August 2009.
V. Pejovic, C. Sreenan,
PerDB: Performance Debugging for Wireless Sensor Networks.
Poster at EWSN, Cork, Ireland, February 2009