emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
B.Sc. in Electrical Engineering, Università di Roma La Sapienza, Rome, Italy, 2008
M.Sc. in Electrical Engineering, Università di Roma La Sapienza, Rome, Italy, 2010
Ph.D. in Electrical Sciences and Computer Engineering, Brown University, Providence, United States, 2016
Marco Donato is an assistant professor in the Department of Electrical and Computer Engineering at Tufts University. Prior to joining Tufts, he was a postdoctoral fellow in the John A. Paulson School of Engineering and Applied Sciences at Harvard University. He earned a PhD in Electrical Sciences and Computer Engineering from Brown University and holds a MSc and BSc degree from the University of La Sapienza in Rome, Italy. His research focuses on designing reliable and energy efficient hardware leveraging emerging technologies. He is currently working on co-design methodologies for building specialized architectures for machine learning applications that leverage dense, fault-prone embedded non-volatile memories.