{"id":21244,"date":"2025-11-18T08:27:56","date_gmt":"2025-11-18T08:27:56","guid":{"rendered":"https:\/\/iit.ac.rs\/?page_id=21244"},"modified":"2026-03-04T11:03:29","modified_gmt":"2026-03-04T11:03:29","slug":"dr-bogdan-milicevic","status":"publish","type":"page","link":"https:\/\/iit.ac.rs\/en\/dr-bogdan-milicevic\/","title":{"rendered":"Dr Bogdan Mili\u0107evi\u0107"},"content":{"rendered":"
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\r\n \"\u0434\u0440\r\n <\/div>\r\n\r\n \r\n
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Dr Bogdan Mili\u0107evi\u0107<\/h2>\r\n\r\n
\r\n Research associate<\/span>\r\n Doctor of Science - Mechanical Engineering<\/span>\r\n <\/div>\r\n\r\n
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Address:<\/b> Institute of Information Technologies Kragujevac, Liceja Kne\u017eevine Srbije 1A, 34000 Kragujevac.<\/div>\r\n
Email:<\/b> bogdan.milicevic@uni.kg.ac.rs<\/div>\r\n <\/div>\r\n\r\n \r\n
\r\n\r\n \r\n \"eNauka\"\r\n <\/a>\r\n\r\n \r\n \"ORCID\"\r\n <\/a>\r\n\r\n \r\n \"ResearchGate\"\r\n <\/a>\r\n\r\n \r\n \"SCIDAR\"\r\n <\/a>\r\n\r\n \r\n \"Scopus\"\r\n <\/a>\r\n\r\n <\/div>\r\n\r\n \r\n
\r\n\r\n \r\n \ud83d\udcc4<\/span> CV - Serbian\r\n <\/a>\r\n\r\n \r\n \ud83d\udcc4<\/span> CV \u2013 English\r\n <\/a>\r\n\r\n <\/div>\r\n <\/div>\r\n\r\n \r\n
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\r\n Brief description of the research<\/summary>\r\n\r\n
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\r\n Dr. Bogdan Mili\u0107evi\u0107's research encompasses computer simulations, modeling, machine learning, and\nhigh-performance computing. He combines advanced techniques of numerical analysis and machine learning\nto develop faster and more efficient simulations of biophysical systems. \r\n <\/p>\r\n

\r\n Research areas include: \r\n <\/p>\r\n

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  • surrogate modeling<\/li>\r\n
  • neural networks supported by physical laws<\/li>\r\n
  • supervised learning and incentive learning<\/li>\r\n
  • finite element method<\/li>\r\n
  • \u0432\u0438\u0441\u043e\u043a\u043e\u043f\u0435\u0440\u0444\u043e\u0440\u043c\u0430\u043d\u0442\u043d\u0435 \u0441\u0438\u043c\u0443\u043b\u0430\u0446\u0438\u0458\u0435 \u0431\u0438\u043e\u043b\u043e\u0448\u043a\u0438\u0445 \u0438 \u043c\u0435\u0445\u0430\u043d\u0438\u0447\u043a\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c\u0430<\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <\/details>\r\n\r\n \r\n
    \r\n Selected references<\/summary>\r\n\r\n
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    1. \r\n Bogdan Milicevic, Milos Ivanovic, Boban Stojanovic, Miljan Milosevic, Milos Kojic, Nenad Filipovic, \r\n Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction<\/i>, \r\n Computers in Biology and Medicine, 149, 2022. \r\n DOI: 10.1016\/j.compbiomed.2022.105963\r\n <\/li>\r\n\r\n
    2. \r\n Bogdan Milicevic, Miljan Milosevic, Vladimir Simic, Danijela Trifunovic, Goran Stankovic, Nenad Filipovic, Milos Kojic, \r\n Cardiac hypertrophy simulations using parametric and echocardiography-based LV model...<\/i>, \r\n Computers in Biology and Medicine, 157, 2023. \r\n DOI: 10.1016\/j.compbiomed.2023.106742\r\n <\/li>\r\n\r\n
    3. \r\n Miljan Milosevic, Vladimir Simic, Bogdan Milicevic, E.J. Koay, Mauro Ferrari, Arturas Ziemys, Milos Kojic, \r\n Correction function for accuracy improvement of the Composite Smeared Finite Element...<\/i>, \r\n CMAME, 338, 97\u2013116 (2018). \r\n DOI: 10.1016\/j.cma.2018.04.012\r\n <\/li>\r\n\r\n
    4. \r\n Miroslav Stojadinovic, Bogdan Milicevic, Jankovic Slobodan, \r\n Improved predictive performance of Prostate Biopsy Collaborative Group risk calculator...<\/i>, \r\n Computers in Biology and Medicine, 138 (2021). \r\n DOI: 10.1016\/j.compbiomed.2021.104903\r\n <\/li>\r\n\r\n
    5. \r\n Bogdan Milicevic et al., \r\n Machine learning and physical based modeling for cardiac hypertrophy<\/i>, \r\n Heliyon, 9(6), e16724 (2023). \r\n DOI: 10.1016\/j.heliyon.2023.e16724\r\n <\/li>\r\n\r\n <\/ol>\r\n <\/div>\r\n\r\n <\/details>\r\n\r\n <\/div>\r\n <\/div>\r\n\r\n<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

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