Milos Kojic

Milos Kojic, PhD

Professor of Nanomedicine, Academic Institute
Houston Methodist


Biography

Dr. Kojic was a Professor of Mechanics at the University of Kragujevac in Serbia and is a senior research scientist in the Physiology Program a the Harvard School of Public Health. He was also a visiting scholar at MIT in Boston; a research engineer at ADINA R&D software company in Watertown, MA; a research professor at the University of Texas Medical Center at Houston; a senior researcher at Zastava Automobili in Kragujevac, Serbia; and director of the R&D Center for Bioengineering in Kragujevac. Dr. Kojic is a member of several academic organizations, including the Serbian Academy of Sciences and Arts.

The focus of Dr. Kojic's research includes computational methods and software development. He has conducted pioneering work in modern numerical methods and engineering software development in Serbia, while mentoring a significant number of Ph.D. students and researchers. The result of this effort is a general-purpose finite element program PAK for solids, fluids, mass and heat transfer, biomechanics, and coupled problems; and a large group of researchers who are part of a "Serbian School" in computational mechanics.

Dr. Kojic is the first president of the Serbian Society for Computational Mechanics, Editor of the Journal of the Serbian Society for Computational Mechanics, and the founder of the R&D Center for Bioengineering, Kragujevac. His initial work in computer modeling primarily focused on solid mechanics and is summarized in the textbook: M. Kojic and K. J. Bathe: Inelastic Analysis of Solids and Structures, Springer, 2005. His more recent research has focused on modeling of bioengineering problems, and the results are summarized in the textbook: M. Kojic, N. Filipovic, B. Stojanovic, N. Kojic: Computer Modeling in Bioengineering- Theoretical Background, Examples and Software, J. Wiley and Sons, 2008.

Description of Research

Dr. Kojic's research focuses on modeling of biological and drug delivery transport phenomena, and multiscale modeling. This includes transport of molecules and bio-mechanical interactions of micro-nano particles.

Areas Of Expertise

Computational methods Coupling imaging Computer simulations
Education & Training

PhD, Rice University
MS, University of Belgrade
Publications

An Insight into Perfusion Anisotropy within Solid Murine Lung Cancer Tumors
Martino, A, Terracciano, R, Milicevic, B, Miloševic, M, Simic, V, Fallon, BC, Carcamo-Bahena, Y, Royal, ALR, Carcamo-Bahena, AA, Butler, EB, Willson, RC, Kojic, M & Filgueira, CS 2024, , Pharmaceutics, vol. 16, no. 8, 1009. https://doi.org/10.3390/pharmaceutics16081009

On the generality of the finite element modeling physical fields in biological systems by the multiscale smeared concept (Kojic transport model)
Kojic, M, Milosevic, M, Simic, V, Milicevic, B, Terracciano, R & Filgueira, CS 2024, , Heliyon, vol. 10, no. 5, e26354, pp. e26354. https://doi.org/10.1016/j.heliyon.2024.e26354, https://doi.org/10.1016/j.heliyon.2024.e26354

On the generality of the finite element modeling physical fields in biological systems by the multiscale smeared concept (Kojic transport model)
Kojic, M, Milosevic, M, Simic, V, Milicevic, B, Terracciano, R & Filgueira, CS 2024, , Heliyon, vol. 10, no. 5, e26354. https://doi.org/10.1016/j.heliyon.2024.e26354

Comparison of Data-Driven and Physics-Informed Neural Networks for Surrogate Modelling of the Huxley Muscle Model
Milicevic, B, Ivanovic, M, Stojanovic, B, Miloševic, M, Simic, V, Kojic, M & Filipovic, N 2024, . in N Filipovic (ed.), Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering - The 2nd Serbian International Conference on Applied Artificial Intelligence SICAAI. Lecture Notes in Networks and Systems, vol. 999 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 33-37, 2nd Serbian International Conference on Applied Artificial Intelligence, SICAAI 2023, Kragujevac, Serbia, 5/19/23. https://doi.org/10.1007/978-3-031-60840-7_5

Modeling critical interaction for metastasis between circulating tumor cells (CTCs) and platelets adhered to the capillary wall
Milosevic, M, Simic, V, Nikolic, A, Shao, N, Kawamura Hashimoto, C, Godin, B, Leonard, F, Liu, X & Kojic, M 2023, , Computer Methods and Programs in Biomedicine, vol. 242, 107810. https://doi.org/10.1016/j.cmpb.2023.107810

Application of In Silico Trials for the Investigation of Drug Effects on Cardiomyopathy-Diseased Heart Cycle Properties
Milosevic, M, Milicevic, B, Simic, V, Anic, M, Kojic, M, Jakovljevic, D & Filipovic, N 2023, , Applied Sciences (Switzerland), vol. 13, no. 21, 11780. https://doi.org/10.3390/app132111780

Machine learning and physical based modeling for cardiac hypertrophy
Milicevic, B, Miloševic, M, Simic, V, Preveden, A, Velicki, L, Jakovljevic, Ð, Bosnic, Z, Piculin, M, Žunkovic, B, Kojic, M & Filipovic, N 2023, , Heliyon, vol. 9, no. 6, e16724. https://doi.org/10.1016/j.heliyon.2023.e16724

Cardiac hypertrophy simulations using parametric and echocardiography-based left ventricle model with shell finite elements
Milicevic, B, Miloševic, M, Simic, V, Trifunovic, D, Stankovic, G, Filipovic, N & Kojic, M 2023, , Computers in Biology and Medicine, vol. 157, 106742, pp. 106742. https://doi.org/10.1016/j.compbiomed.2023.106742

A novel composite smeared finite element for mechanics (CSFEM): Some applications
Simic, V, Milosevic, M, Milicevic, V, Filipovic, N & Kojic, M 2023, , Technology and Health Care, vol. 31, no. 2, pp. 719-733. https://doi.org/10.3233/THC-220414

Data-driven and Physics-informed Muscle Model Surrogates for Cardiac Cycle Simulations
Milicevic, B, Ivanovic, M, Stojanovic, B, Milosevic, M, Simic, V, Kojic, M & Filipovic, N 2023, . in Proceedings - 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023. Proceedings - 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023, Institute of Electrical and Electronics Engineers Inc. 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023, East Sarajevo, Bosnia and Herzegovina, 6/5/23. https://doi.org/10.1109/IcETRAN59631.2023.10192144

In silico evaluation of pharmacokinetic parameters, delivery, distribution and anticoagulative effects of new 4,7-dihydroxycoumarin derivative
Milanovic, Ž, Antonijevic, M, Avdovic, E, Simic, V, Miloševic, M, Dolicanin, Z, Kojic, M & Markovic, Z 2024, , Journal of Biomolecular Structure and Dynamics, vol. 42, no. 16, pp. 8343-8358. https://doi.org/10.1080/07391102.2023.2245071

A MULTISCALE MULTIPHYSICS FINITE ELEMENT FOR LUNG
Kojic, M 2023, , Journal of the Serbian Society for Computational Mechanics, vol. 17, no. 2, pp. 1-15. https://doi.org/10.24874/jsscm.2023.17.02.01

Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations
Milicevic, B, Ivanovic, M, Stojanovic, B, Miloševic, M, Milovanovic, V, Kojic, M & Filipovic, N 2023, . in Proceedings - 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering, BIBE 2023. Proceedings - 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering, BIBE 2023, Institute of Electrical and Electronics Engineers Inc. pp. 457-461, 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Virtual, Online, United States, 12/4/23. https://doi.org/10.1109/BIBE60311.2023.00081

SILICOFCM platform, multiscale modeling of left ventricle from echocardiographic images and drug influence for cardiomyopathy disease
Filipovic, N, Sustersic, T, Milosevic, M, Milicevic, B, Simic, V, Prodanovic, M, Mijailovic, S & Kojic, M 2022, , Computer Methods and Programs in Biomedicine, vol. 227, 107194, pp. 107194. https://doi.org/10.1016/j.cmpb.2022.107194

Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction
Milicevic, B, Ivanovic, M, Stojanovic, B, Miloševic, M, Kojic, M & Filipovic, N 2022, , Computers in Biology and Medicine, vol. 149, 105963. https://doi.org/10.1016/j.compbiomed.2022.105963

In Silico Clinical Trials for Cardiovascular Disease
Filipovic, N, Saveljic, I, Sustersic, T, Milosevic, M, Milicevic, B, Simic, V, Ivanovic, M & Kojic, M 2022, , Journal of Visualized Experiments, no. 183, e63573. https://doi.org/10.3791/63573

InSilc Computational Tool for in Silico Optimization of Drug-Eluting Bioresorbable Vascular Scaffolds
Milosevic, M, Anic, M, Nikolic, D, Milicevic, B, Kojic, M & Filipovic, N 2022, , Computational and Mathematical Methods in Medicine, vol. 2022, 5311208, pp. 5311208. https://doi.org/10.1155/2022/5311208

Computational Models in Biomedical Engineering: Finite Element Models Based on Smeared Physical Fields: Theory, Solutions, and Software
Kojic, M, Miloševic, M & Ziemys, A 2022, . Elsevier. https://doi.org/10.1016/C2020-0-03703-5

Integration of Surrogate Huxley Muscle Model into Finite Element Solver for Simulation of the Cardiac Cycle
Milicevic, B, Simic, V, Milosevic, M, Ivanovic, M, Stojanovic, B, Kojic, M & Filipovic, N 2022, . in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2022-July, Institute of Electrical and Electronics Engineers Inc. pp. 3943-3946, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 7/11/22. https://doi.org/10.1109/EMBC48229.2022.9870995

Application of in silico Platform for the Development and Optimization of Fully Bioresorbable Vascular Scaffold Designs
Milosevic, M, Anic, M, Nikolic, D, Geroski, V, Milicevic, B, Kojic, M & Filipovic, N 2021, , Frontiers in Medical Technology, vol. 3, 724062. https://doi.org/10.3389/fmedt.2021.724062