Dario Pevec 2019-09-26T13:27:48+00:00

Dario Pevec, M.Sc.

Dario Pevec
Dario PevecPh.D. student

Dario Pevec is a Research and Teaching Associate at the Telecommunication Department of the Faculty of Electrical Engineering and Computing, University of Zagreb. He is a Ph.D. student at the same institution and a member of the “Social Networking and Computing Laboratory (socialLAB)”.

His teaching and research activities are in a field of energy informatics and data science. Currently, his research is focused on smart management of electric vehicles charging stations. He is a Teaching Assistant on M.Sc. courses Forecasting and Marketing of Telecommunication Services and Mobile Software Agents, as well as B.Sc. courses Object Oriented Programming, Informatics and Programming, and Informatics.

He has been a researcher in three research projects in collaboration with Ericsson Nikola Tesla R&D Center in Zagreb.

He is a member of IEEE association.

  • M.Sc. (2016, Information and communication technology, University of Zagreb Faculty of Electrical Engineering and Computing)
  • B.Sc. (2014, Computing, University of Zagreb Faculty of Electrical Engineering and Computing)
  • energy informatics
  • electric vehicles
  • big data
  • data science
  • deep learning

Publications

Dorcec, L., Pevec, D., Vdovic, H., Babić, J. & Podobnik, V. (2019) How do people value electric vehicle charging service? A gamified survey approach. Journal of cleaner production, 210, 887-897 doi:10.1016/j.jclepro.2018.11.032. https://www.bib.irb.hr/985349

Pevec, D., Babić, J., Kayser, M., Carvalho, A., Ghiassi-Farrokhfal, Y. & Podobnik, V. (2018) A Data-Driven Statistical Approach for Extending Electric Vehicle Charging Infrastructure. International journal of energy research, 42 (9), 3102-3120 doi:10.1002/er.3978. https://www.bib.irb.hr/918207

Oršolić, I., Pevec, D., Sužnjević, M. & Skorin-Kapov, L. (2017) A Machine Learning Approach to Classifying YouTube QoE Based on Encrypted Network Traffic. Multimedia tools and applications, 76 (21), 22267-22301 doi:10.1007/s11042-017-4728-4. https://www.bib.irb.hr/870774

Dorcec, L., Pevec, D., Vdovic, H., Babic, J. & Podobnik, V. (2018) Exploring Willingness to Pay for Electric Vehicle Charging with Gamified Survey. U: Proceedings of the 3rd International Conference on Smart and Sustainable Technologies (SpliTech 2018). https://www.bib.irb.hr/938833

Pevec, D., Babić, J. & Podobnik, V. (2017) A Data-Driven Framework for Extending Electric Vehicle Infrastructure. U: 13. savjetovanje HRO CIGRÉ. https://www.bib.irb.hr/937242

Pevec, D., Kayser, M., Babić, J., Carvalho, A., Ghiassi-Farrokhfal, Y. & Podobnik, V. (2017) A Computational Framework for Managing Electric Vehicle Charging Infrastructure. U: Nižetić, S., Šolić, P. & Milanović, Ž. (ur.)Proceedings of the 9th International Exergy, Energy and Environment Symposium. https://www.bib.irb.hr/904816

Oršolić, I., Pevec, D., Sužnjević, M. & Skorin-Kapov, L. (2016) YouTube QoE Estimation Based on the Analysis of Encrypted Network Traffic Using Machine Learning. U: Globecom Workshops (GC Wkshps). https://www.bib.irb.hr/868411

Pevec, D., Kayser, M., Babić, J., Carvalho, A., Ghiassi-Farrokhfal, Y. & Podobnik, V. (2017) A Data-driven Framework for Extending Electric Vehicle Charging Infrastructure. U: Proceedings of the 2017 Winter Conference on Business Analytics (WCBA 2017). https://www.bib.irb.hr/937244

Pevec, D. & Podobnik, V. (2017) Decision Support System for Managing Electric Vehicle Charging Infrastructure. U: Dobrijevic, O., Krizanovic Cik, V., Mausa, G. & Solic, P. (ur.)The 14th International Conference on Telecommunications – ConTEL 2017: PhD Forum – Book of Abstracts. https://www.bib.irb.hr/937240