In 2019, he was appointed a full-time professor at the School of Computing and Augmented Intelligence at Arizona State University, Tempe, while maintaining a research position at MIT.

[4][5] He is known for his research work, and for his twenty textbooks and monographs in theoretical and algorithmic optimization and control, in reinforcement learning, and in applied probability.

He is featured among the top 100 most cited computer science authors[6] in the CiteSeer search engine academic database[7] and digital library.

[14] In 2001, he was elected to the US National Academy of Engineering for "pioneering contributions to fundamental research, practice and education of optimization/control theory, and especially its application to data communication networks".

[19] Also he received the 2015 Dantzig prize from SIAM and the Mathematical Optimization Society,[20] the 2018 INFORMS John von Neumann Theory Prize (jointly with Tsitsiklis) for the books "Neuro-Dynamic Programming" and "Parallel and Distributed Algorithms",[16] and the 2022 IEEE Control Systems Award for “fundamental contributions to the methodology of optimization and control”, and “outstanding monographs and textbooks”.