Arto Maranjyan
- Ph.D. Student, Computer Science
Biography
Artavazd Maranjyan is a Ph.D. Candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. Peter Richtárik.
His work has been published in leading machine learning conferences such as ICML, ICLR, and UAI. He has received the CEMSE Dean’s List Award for academic and research excellence, and the Dean’s List Award upon joining KAUST.
Before starting his Ph.D., Artavazd earned his M.S. and B.S. degrees from Yerevan State University, where he co-authored several papers in harmonic analysis under the guidance of Prof. Martin Grigoryan.
Research Interests
Arto's research focuses on the theory and design of asynchronous optimization methods—developing efficient, scalable, and theoretically grounded algorithms. More broadly, he works on optimization for machine learning and federated learning.
