Zhi-Hong Mao

Dr. Zhi-Hong Mao conducts research on control systems, with a particular emphasis on human-machine and human-robot systems, neural and machine learning, and human-in-the-loop control systems. As a tenured Professor in the Department of Electrical and Computer Engineering and the Department of Bioengineering at the University of Pittsburgh, he brings a wealth of knowledge and expertise to his field. Dr. Mao's academic journey began with a Ph.D. in medical engineering and medical physics, which he earned from the prestigious Harvard-MIT Division of Health Sciences and Technology in 2006. His research interests are diverse and cutting-edge, encompassing the control of networked and distributed systems, human-computer interaction, and the integration of neural networks into embedded and networked control systems. Dr. Mao's work is at the forefront of technological innovation, seeking to enhance the interaction between humans and machines through advanced control methodologies and machine learning techniques. Dr. Mao has been recognized for his outstanding contributions to both research and teaching. He is a recipient of the William Kepler Whiteford Faculty Fellowship, an honor that underscores his commitment to academic excellence. Additionally, he has been awarded the National Science Foundation Faculty Early Career Development Award, which highlights his potential as a leading researcher in his field. In his role at the University of Pittsburgh, Dr. Mao is dedicated to advancing the understanding and application of control systems in various domains. His work not only contributes to the academic community but also has practical implications for the development of more intuitive and efficient human-machine interfaces. Through his research, Dr. Mao aims to bridge the gap between theoretical advancements and real-world applications, ultimately enhancing the way humans interact with technology. Dr. Mao's contributions extend beyond his research, as he is actively involved in mentoring the next generation of engineers and researchers. His dedication to education and innovation continues to inspire students and colleagues alike, fostering a collaborative environment that encourages exploration and discovery in the field of electrical and computer engineering.