Multi-agent systems

Ansar Khangeldin

M.S. Student

Computer Vision Reinforcement Learning Multi-agent systems autonomous systems

Ms/PhD Electrical and Computer Engineering student. Have a background in Applied Mathematics, Control Theory, Machine Learning Research and Development, Multi-Agent Reinforcement Learning. Main research interests are application and enhancement of CV methods in autonomous systems (AVs, Robotics, UAVs).

Nadezhda Briantceva

Ph.D., Applied Mathematics and Computational Science

Multi-agent systems Mathematical modeling Differential equations

Nadezhda is a Ph.D. student in the Advanced Simulations and Algorithms Lab (AANSLab) and the Communication Theory Lab (CTLab) under the supervision of Professor Matteo Parsani and Professor Mohamed-Slim Alouini. Education and Early Career Nadezhda obtained her bachelor degree in Applied Mathematics and Computational Science from Saint Petersburg State University (SPbSU) in 2018. She also has experience in commercial IT development as a QA engineer. Research Interest Nadezhda is focusing in the area of multi-agent systems, as well as mathematical modelling and optimization. Education Profile Ph