Prof. dr Tomo Popović je vanredni profesor na Univerzitetu Donja Gorica u Crnoj Gori, gdje predaje predmete iz oblasti informacionih sistema i računarskih nauka. Doktorirao je tehničke nauke na Elektrotehničkom fakultetu Univerziteta Crne Gore, magistrirao na Texas A&M Univerzitetu (SAD) iz oblasti elektrotehnike i računarskog inženjeringa, a osnovne studije završio na Fakultetu tehničkih nauka Univerziteta u Novom Sadu.

Sa više od 30 godina međunarodnog iskustva u akademskom i industrijskom okruženju (Srbija, SAD, Crna Gora), njegov istraživački rad fokusiran je na primijenjene računarske nauke, posebno na inteligentne sisteme, Internet stvari (IoT) i data science, sa primjenama u energetici, biomedicini, poljoprivredi i industriji.

Prof. Popović je rukovodio i učestvovao u brojnim nacionalnim i međunarodnim istraživačko-razvojnim projektima, uključujući razvoj IoT platformi za preciznu poljoprivredu i eko-monitoring, kao i mobilnih i IoT rješenja za zaštitu brenda u agro-prehrambenoj industriji (TagItWine, H2020 DEMETER). Učestvovao je i u projektima koji podržavaju digitalnu transformaciju poljoprivrede i lanaca snabdijevanja hranom (DIPOL, DEMETER, VIRAL, ECOMON, Food-HUB).

Njegov najnoviji rad obuhvata projekte iz oblasti vještačke inteligencije i visokoperformansnog računarstva (HPC), kao što su H2020 EuroCC i AIMHiGH u okviru FF4EuroHPC inicijative, sa fokusom na AI rješenja za pametnu poljoprivredu. Trenutno je ključni istraživač na projektima poput DEP EuroCC2, nacionalnog naučnog projekta AI-AGE i H2020-MSCA TRACEWINDU.

Autor je više od 100 naučnih radova i član je IEEE sa statusom Senior Member, kao i član ACM i CIGRE.

Izabrane publikacije

Pavicevic, M. and Popovic, T., Forecasting Day-Ahead Electricity Metrics with Artificial Neural Networks, Sensors 22(3):1051, MDPI, 2022, http://dx.doi.org/10.3390/s22031051 

Popovic, N. et al., TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera, PLoS ONE 16(7):e0254918, PLOS, 2021, http://dx.doi.org/10.1371/journal.pone.0254918 

Popovic, T. et al., A novel solution for counterfeit prevention in the wine industry based on IoT, smart tags, and crowd-sourced information, Internet of Things 14C(2012):100375, Elsevier, 2021, http://dx.doi.org/10.1016/j.iot.2021.100375 

Zecevic, Z. et al., An efficient phasor and frequency estimation algorithm for wide frequency range, Electric Power Systems research 180(2020), Elsevier, 2020, http://dx.doi.org/10.1016/j.epsr.2019.106124 

Popovic, N. et al., Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease, Scientific Reports 9(1):16340, Nature, 2019, https://www.nature.com/articles/s41598-019-52659-8 

Popovic, N. et al., Fractal Characterization of Retinal Microvascular Network Morphology During Diabetic Retinopathy Progression, Microcirculation 26(4), Wiley, 2019, http://dx.doi.org/10.1111/micc.12531 

Popovic, N. et al., Fractal dimension and lacunarity analysis of retinal microvascular morphology in hypertension and diabetes, Microvascular Research 118(2018), Elsevier, 2018, http://dx.doi.org/10.1016/j.mvr.2018.02.006 

Popovic, N. et al., A Moodle-Based Blended Learning Solution for Physiology Education in Montenegro: A Case Study, AJP Advances in Physiology Education, 2018, http://dx.doi.org/10.1152/advan.00155.2017 

Popovic, T. et al., Architecting an IoT-enabled platform for precision agriculture and ecological monitoring: A case study, Computers and Electronics in Agriculture 2017(140C), Elsevier, 2018, http://dx.doi.org/10.1016/j.compag.2017.06.008 

Malbasa, V. et al., Voltage Stability Prediction Using Active Machine Learning, IEEE transactions on Smart Grid 8(6), IEEE, 2017, http://dx.doi.org/10.1109/TSG.2017.2693394 

Popovic, T. et al., Implementation requirements for automated fault data analytics in power systems 25(4), Wiley, 2014, http://dx.doi.org/10.1002/etep.1872 

Zecevic, Z. et al., Improved Frequency Estimation in Unbalanced Three-Phase Power System Using Coupled Orthogonal Constant Modulus Algorithm, IEEE Transactions on Power Delivery 32(4):1809-1816, 2016, http://dx.doi.org/10.1109/TPWRD.2016.2586106 

Popovic, T. et al., Getting ISO 9001 Certified for Software Development Using Scrum and Open Source: A Case Study, Technical Gazette, 2015, http://dx.doi.org/10.17559/TV-20140704180948 

Esmaeillian, A. et al., Transmission line relay mis-operation detection based on time-synchronized field data, Electric Power Systems research 125(2015):174-183, Elsevier, 2015, http://dx.doi.org/10.1016/j.epsr.2015.04.008 

Popovic, T. et al., Implementation requirements for automated fault data analytics in power systems, International Transactions on Electrical Energy Systems 25(4):731-752, Wiley, 2014, http://dx.doi.org/10.1002/etep.1872 

Popovic, T. et al., Smart Grid Data Analytics for Digital Protective Relay Event Recordings, Inofrmation Systems Frontiers 17(3):591-600, Springer, 2013, http://dx.doi.org/10.1007/s10796-013-9434-9 

Popovic, T. and Keznovic, M., Measures of Value: Data Analytics for Automated Fault Analysis, IEEE Power and Energy Magazine 10(5):58-69, 2012, http://dx.doi.org/10.1109/MPE.2012.2205319