Dr. sc. Ivo Marinić-Kragić is an Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split. He completed his PhD studies in Mechanical Engineering at the University of Split in 2017, and has been awarded the Croatian State Award for Science (2017) and the University of Split Science Award (2019). He was a member of several Croatian Science Foundation projects, a principal investigator for a national research project, and also performed several professional projects for various local and international companies. He has published 25 papers in various journals and serves as a mentor for the Applied Mechanical Engineering Association (UPS) and editorial board member for "Energy Sources, Part A". His teaching disciplines include Computer-Aided Design, Engineering Numerical Synthesis, Programming, and Optimization Methods, and his research interests include Numerical Modeling (CFD/FEM), Renewable Energy Technologies, 3D Scanning, and Multidisciplinary Optimization.
Dr. sc. Ivo Marinić-Kragić is an Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split. He completed his PhD studies in Mechanical Engineering at the University of Split in 2017, and has been awarded the Croatian State Award for Science (2017) and the University of Split Science Award (2019). He was a member of several Croatian Science Foundation projects, a principal investigator for a national research project, and also performed several professional projects for various local and international companies. He has published 25 papers in various journals and serves as a mentor for the Applied Mechanical Engineering Association (UPS) and editorial board member for "Energy Sources, Part A". His teaching disciplines include Computer-Aided Design, Engineering Numerical Synthesis, Programming, and Optimization Methods, and his research interests include Numerical Modeling (CFD/FEM), Renewable Energy Technologies, 3D Scanning, and Multidisciplinary Optimization.