Dokument se učitava
Dokument se učitava
Stefan R. Panić je rođen 1983. godine u Pirotu, gde je završio osnovno i srednje obrazovanje. Osnovne i postdiplomske studije je završio na Elektronskom fakultetu, Univerziteta u Nišu. Na Prirodno-matematičkom fakultetu, Univerziteta u Prištini je biran u sva nastavna zvanja iz uže naučne oblasti Informaciono-komunikacione tehnologije. Školsku 2018/2019 godinu je proveo na stručnom usavršavanju na Tomskom Politehničkom Univerzitetu u Ruskoj federaciji. Bavi se istraživanjima iz oblasti Teorije informacija, Teorije telekomunikacija i Kriptografije. Nastavu na ATUSS izvodi počevši od školske 2017/2018. godine.
Stefan Panić, Vladeta Milenkovic, Ratko Ivkovic, “Helmert-based A-law and μ-law vector gradient quantization in deep neural networks”, Signal, Image and Video Processing, ISSN: 1863-1703, (2026), 20 (2), 65 https://link.springer.com/article/10.1007/s11760-025-05050-2
Milan Dubljanin, Stefan Panić, Milan Savić, Milan Dejanović, Oliver Popović. 2026. "Efficient Quantization of Pretrained Deep Networks via Adaptive Block Transform Coding", Information, ISSN: 2078-2489, 17, no. 1: 69. https://www.mdpi.com/2078-2489/17/1/69
Milan Dubljanin, Stefan Panic, Milan Savic, Srdjan Milosavljevic, “Adaptive µ-law Gradient Quantization for Training MLPs and CNNs”, Advances in Electrical and Computer Engineering, ISSN: 1582-7445, (2026), Vol. 26, Issue 1, Year 2026, pp. 55 – 64 https://aece.ro/abstractplus.php?year=2026&number=1&article=6 (
Stefan Panic, Milan Dejanovic, Vladeta Milenkovic, Danijel Djosic, Milan Gligorijevic, "Application of neural networks in estimating second-order characteristics of kappa–mu shadowed fading channels", Telecommunication Systems, ISSN: 1018-4864 (2025), 88, 27 (2025) https://doi.org/10.1007/s11235-025-01259-1. https://link.springer.com/article/10.1007/s11235-025-01259-1
Ratko Ivković, Stefan Panić Frequency-adapted local correlation for nano-textures model (FALCON), Visual Computer, 41,2025, pp. 12853–12863, ISSN: 0178-2789, https://link.springer.com/article/10.1007/s00371-025-04189-w
53. Stefan Panic, Aleksandar Mosic, Vladeta Milenkovic: A Rician-Based Physically Motivated Wavelet for Fading Channel Signal Classification, TELFOR 2025. https://ieeexplore.ieee.org/document/11314260 (
52. M Dejanović, S Panić, D Đošić, D Milić, Computing Descriptive Statistics of Bluetooth Signals Using a Neural Network, 2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH), 1-5, https://ieeexplore.ieee.org/document/10959200
