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
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Office: 1204 Benedum Hall
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Mailing Address: 1238 Benedum Hall,
Pittsburgh, PA 15261
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Phone: (412)624-9674
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Email: maozh@engr.pitt.edu
Research Interests
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Networked and
large-scale control systems: neuronal networks, spacecraft formation control, intelligent transportation
systems, and electric power systems
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Human-machine and
human-robot systems
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Neural and machine
learning
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Embedded systems (in
collaboration with Prof. Jijun Yin)
Courses
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ECE 1673: Linear Control Systems,
Spring 2006-2013 and 2015-2024
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ECE 1675/2570: Robotic Control,
Spring 2019-2024
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ECE/ME 2646: Linear System
Theory, Fall 2006-2017
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ECE 2680: Adaptive Control, Fall
2008, 2010, 2012, 2014 (Spring), 2015 (Spring), 2016, 2018, 2021, and 2023
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ECE 2695: Introduction to Space Engineering, Fall
2024
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ECE 3650: Optimal Control,
Fall 2009, 2011, 2013-2015, 2017, 2019, and 2022
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BioE 2696/ECE 2695:
Control Theory in Neuroscience, Spring 2009-2012 (with Prof. Aaron Batista)
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ECE 1563: Signal
Processing Laboratory, Spring 2011 (with Prof. Amro El-Jaroudi)
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Special Topics
Courses:
o
Physics for High
School Students, Fall 2023 and Spring 2024
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Machine Learning,
Summer 2019 and 2023
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Neuroscience for High
School Students, Spring 2023
o
Machine Learning for
High School Students, Summer 2021 and 2023
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Deep Learning, Spring
2018
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Nonlinear Dynamics,
Fall 2017
o
Cooperative Control
of Multi-Agent Systems, Fall 2014 and Spring 2015
Curriculum Vitae (Older Versions)