Prof Dr Milos Kojic | Computational Modeling | Research Excellence Award
Professor of Nanomedicine at Houston Methodist Research Institute in United States
Dr. Milos Kojic is a distinguished scientist specializing in finite element methods, numerical inelastic analysis, and biomechanics. His groundbreaking contributions span mechanical engineering and bioengineering, with a focus on developing computational models that address complex biomechanical problems. He earned his Ph.D. in Mechanical Engineering from Rice University and has held prominent positions at leading institutions, including the Methodist Hospital Research Institute and Harvard School of Public Health. Dr. Kojic is also a professor and director at the BIOIRC Research and Development Center, where he continues to innovate in computational mechanics. Throughout his career, he has received numerous prestigious awards and led significant international projects. His work has transformed the way researchers model nonlinear structural analysis and biomechanical systems, positioning him as a leader in the field of computational modeling.
Profile
Education
Dr. Milos Kojic’s academic journey is marked by prestigious achievements in engineering and mechanics. He earned his Ph.D. in Mechanical Engineering from Rice University, Houston, Texas, where his thesis focused on the “Influence of Fluid Pressure Gradient on Plasticity of Porous Media,” a pioneering work that has had a lasting impact in the field. Prior to that, Dr. Kojic completed his M.S. in Mechanics from the University of Belgrade, Serbia, specializing in natural sciences and mathematics. His foundational education began at the University of Kragujevac, Serbia, where he earned his B.S. in Mechanical Engineering. Dr. Kojic’s education was supported by scholarships and awards, including a Fulbright Foundation grant for his Ph.D. studies. These academic milestones laid the foundation for his contributions to computational mechanics and bioengineering, equipping him with the theoretical knowledge and research skills necessary for his groundbreaking work in finite element and discrete particle methods.
Experience
Dr. Milos Kojic has an extensive career spanning over five decades in academia and research. Currently, he serves as a Scientist Full Member and Professor of Nanomedicine at the Methodist Hospital Research Institute in Houston, Texas, and an Adjunct Professor in the Department of Computer Science at the University of Houston. He is also the Director of the Research and Development Center for Bioengineering ‘BIOIRC’ in Serbia, where he leads pioneering research in biomechanics. Dr. Kojic has held various prominent academic positions, including Visiting Professor at the University of Texas Health Science Center and Senior Research Scientist at Harvard School of Public Health. His work also includes decades of experience at the University of Kragujevac, where he taught courses in mechanics and led research in finite element analysis. Dr. Kojic’s diverse experiences highlight his role as an influential figure in computational modeling and bioengineering research.
Awards and Honors
Dr. Milos Kojic’s career is adorned with numerous prestigious awards and honors that recognize his contributions to computational mechanics, bioengineering, and education. His early academic achievements were acknowledged with a scholarship for his B.S. in Mechanical Engineering and a Fulbright Foundation Scholarship during his Ph.D. studies. Among his many accolades, Dr. Kojic received the Gold Medal from the Serbian Engineering Society in 2001 and the St. Sava Award for Life Achievements in 2020 for his contributions to the University of Kragujevac. His exceptional research in nonlinear finite element analysis has earned him recognition both locally and internationally, including the Plaque St. George from the City of Kragujevac in 2019. These honors, along with numerous research grants and industry awards, reflect his dedication to advancing the fields of engineering and biomechanics while fostering the development of future generations in these disciplines.
Research Focus
Dr. Milos Kojic’s research focuses on advancing computational methods in biomechanics, finite element analysis, and nonlinear structural modeling. His groundbreaking work in finite element methods (FEM) and discrete particle methods (DPM) has transformed numerical simulations in both mechanical and biomedical applications. He has developed novel approaches for analyzing inelastic materials, coupled problems, and biomechanical systems, with a particular interest in elasticity, plasticity, and rigid body mechanics. Dr. Kojic has also contributed significantly to the development of software tools that implement these methods, making it easier for researchers to solve complex engineering and bioengineering problems. His research on multiscale modeling of biological systems, including tissue mechanics and perfusion in cancerous tissues, has broadened the applicability of computational models in medical research. Dr. Kojic’s current focus includes the integration of machine learning with traditional computational mechanics, opening new avenues for predictive modeling in biomechanics and bioengineering.
Publication Top Notes
🧬 An Insight into Perfusion Anisotropy within Solid Murine Lung Cancer Tumors (2024)
🖥️ On the Generality of the Finite Element Modeling Physical Fields in Biological Systems (2024)
🧠 Comparison of Data-Driven and Physics-Informed Neural Networks for Surrogate Modelling (2024)
💊 Modeling Critical Interaction for Metastasis Between Circulating Tumor Cells and Platelets (2023)
❤️ Application of In Silico Trials for Drug Effects on Cardiomyopathy-Diseased Heart Cycle (2023)
🩺 Machine Learning and Physical Based Modeling for Cardiac Hypertrophy (2023)
🧠 Cardiac Hypertrophy Simulations Using Echocardiography-Based Models (2023)
🫁 A Multiscale Multiphysics Finite Element for Lung (2023)
💪 Optimization of Physics-Informed Neural Networks for Huxley’s Muscle Model (2023)
💻 Data-driven and Physics-informed Muscle Model Surrogates for Cardiac Cycle Simulations (2023)