Welcome to Zhi-Hong Mao's Homepage


Dr. Mao is a Professor in the Department of Electrical and Computer Engineering and Department of Bioengineering at the University of Pittsburgh, Pittsburgh, PA. His research interests include networked control systems, human-machine and human-robot systems, and neural and machine learning. He received his dual Bachelor's degrees in automatic control and applied mathematics from Tsinghua University, Beijing, China, in 1995, M.Eng. degree in pattern recognition and intelligent control from Tsinghua University in 1998, S.M. degree in aeronautics and astronautics from the Massachusetts Institute of Technology, Cambridge, MA, in 2000, and Ph.D. degree in medical engineering and medical physics from the Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, in 2006. He joined the University of Pittsburgh as Assistant Professor in 2005 and became Professor in 2018. He was a recipient of the Outstanding Educator Award of the Swanson School of Engineering in 2009, NSF CAREER Award in 2010, Andrew P. Sage Best Transactions Paper Award of the IEEE Systems, Man and Cybernetics Society in 2010, Outstanding Service Award as Associate Editor of IEEE Transactions on Intelligent Transportation Systems in 2013, and Chancellor's Distinguished Teaching Award of the University of Pittsburgh in 2016.


Contact Information

-       Office: 1204 Benedum Hall

-       Mailing Address: 1238 Benedum Hall, Pittsburgh, PA 15261

-       Phone: (412)624-9674

-       Email: maozh@engr.pitt.edu


Research Interests

-       Networked and large-scale control systems: neuronal networks, intelligent transportation systems, and electric power systems

-       Human-machine and human-robot systems

-       Neural and machine learning

-       Embedded systems (in collaboration with Prof. Jijun Yin)



-       ECE 1673: Linear Control Systems, Spring 2006-2013 and 2015-2024

-       ECE 1675/2570: Robotic Control, Spring 2019-2024

-       ECE/ME 2646: Linear System Theory, Fall 2006-2017

-       ECE 2680: Adaptive Control, Fall 2008, 2010, 2012, 2014 (Spring), 2015 (Spring), 2016, 2018, 2021, and 2023

-       ECE 3650: Optimal Control, Fall 2009, 2011, 2013-2015, 2017, 2019, and 2022

-       BioE 2696/ECE 2695: Control Theory in Neuroscience, Spring 2009-2012 (with Prof. Aaron Batista)

-       ECE 1563: Signal Processing Laboratory, Spring 2011 (with Prof. Amro El-Jaroudi)

-       Special Topics Courses:

o   Physics for High School Students, Fall 2023 and Spring 2024

o   Machine Learning, Summer 2019 and 2023

o   Neuroscience for High School Students, Spring 2023

o   Machine Learning for High School Students, Summer 2021 and 2023

o   Deep Learning, Spring 2018

o   Nonlinear Dynamics, Fall 2017

o   Cooperative Control of Multi-Agent Systems, Fall 2014 and Spring 2015


Curriculum Vitae   (Older Versions)