معرفی
Milan Tuba is a Professor of Computer Science and Mathematics at Singidunum University in Belgrade, Serbia. He holds academic roles including former Vice Rector for International Relations at Singidunum University, Head of the Department for Mathematical Sciences at State University of Novi Pazar, and Dean of the Graduate School of Computer Science at John Naisbitt University. His expertise spans multiple institutions, including Vanderbilt University and New York University in the U.S., where he led NSF projects and founded the Microprocessor Lab and VLSI Lab.
Education: He earned B.S., M.S., and Ph.D. degrees in Mathematics and Computer Science from the University of Belgrade and New York University.
Research Interests: Tuba focuses on nature-inspired optimization algorithms applied to image processing, neural networks, and computer networks. His work integrates metaheuristics with machine learning, addressing challenges in healthcare, energy forecasting, and cloud computing. Recent projects include developing optimized algorithms for medical image analysis, wind energy prediction, and cloud resource scheduling.
Scientific Contributions: With over 300 publications (h-index 53), he has authored/co-edited books on topics like target localization and hardware design. His awards include inclusion in Stanford University's top 2% global scientists list (2020–2024).
Advising & Leadership: Tuba has mentored dozens of PhD/Master's students across universities in Serbia, Bosnia, and the U.S. He leads research groups and serves on editorial boards for journals and conferences. His labs focus on VLSI design, neural networks, and optimization.
Labs/Teams: Founder of Microprocessor Lab and VLSI Lab at U.S. institutions, and currently directs AI-focused research at Singidunum University.