Mahyar Fazlyab

32 papers and 502 indexed citations i.

Mahyar Fazlyab is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Mahyar Fazlyab has authored 32 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Control and Systems Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Mahyar Fazlyab’s work include Adversarial Robustness in Machine Learning (11 papers), Fault Detection and Control Systems (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Mahyar Fazlyab is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Fault Detection and Control Systems (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Mahyar Fazlyab collaborates with scholars based in United States, Slovakia and Iran. Mahyar Fazlyab's co-authors include George J. Pappas, Víctor M. Preciado, Manfred Morari, Alejandro Ribeiro and J. Zico Kolter and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and SIAM Journal on Optimization.