Uroš Kalabić

Uroš Kalabić is a Teaching Professor at Singidunum University in Serbia. He holds a doctoral degree in Electrical and Computer Engineering from the University of Michigan (2015), a Master's degree from the same university (2011), and a Bachelor's degree in Electrical and Computer Engineering from the University of Toronto (2010). His research focuses on advanced control systems and their applications in automotive engineering, aerospace, and quantum computing.

• Doctoral studies: University of Michigan, Electrical and Computer Engineering (2015)
• Master's studies: University of Michigan, Electrical and Computer Engineering (2011)
• Undergraduate studies: University of Toronto, Electrical and Computer Engineering (2010)

Kalabić's research interests span stochastic model predictive control, quantum optimization, autonomous traffic systems, and nonlinear control on manifolds. His work includes applications in automotive engine control, spacecraft attitude control, quantum search algorithms, and sustainable transportation schemes. He has published in top journals like AUTOMATICA and the Journal of Dynamic Systems, Measurement, and Control, focusing on control theory and its interdisciplinary applications.

His publications reveal expertise in stochastic control, reinforcement learning, quantum computing, and transportation optimization. Notable contributions include constraint-separation principles in MPC, reference governors for probabilistic systems, and deep learning-based traffic management frameworks.

Currently, no scientific awards or honors are documented in the provided materials. Similarly, there is no mention of student advising roles, laboratory leadership, or active research grants in the available descriptions.