Professor Hongwei Mo PhD

Professor Hongwei Mo is a leading researcher specializing in Artificial Intelligence and Intelligent Systems. His work centers on developing novel computational models, including Nature-Inspired Computing and Brain-Like Intelligence, for robotics and complex problem-solving. His research directions include machine cognitive intelligence, unmanned intelligent systems, and human-machine fusion. He has a prolific publishing record and has led over 30 significant projects funded by organizations like the National Natural Science Foundation of China. Dr. Mo is dedicated to advancing theoretical and applied AI for real-world robotics and automation challenges.
 

Education Details:

• PhD: Doctor Of Engineering (Harbin Engineering University, March 2005)
• Postdoctoral Fellow: Computer Science And Technology Mobile Station (Harbin Institute Of Technology, 2005–2007)
• Master Of Engineering: (Harbin Engineering University, March 2001)

Professional Background:

• Professor (Current, Since 2007) - School Of Intelligent Science And Engineering, Harbin Engineering University.
• Doctoral And Master's Supervisor (Current) - Harbin Engineering University.
• Visiting Scholar (2003–2004) - University Of California, Davis.

Achievements:

• Winner Of Heilongjiang Province Outstanding Youth Fund (2012).
• Editor/Associate Editor for several international journals, including IEEE Transactions on Industrial Informatics (Special Issue on Big Data Analytics in Healthcare, 2018).
• Program/Organizing Committee Chair for multiple international conferences on Swarm Intelligence and Bio-inspired Computing.

Current Research Projects:

• Brain-Like Computing: Focusing on the theoretical models and applications of brain-like intelligence and machine cognitive intelligence.
• Intelligent Robotics And UAVs: Developing perception and control technologies for dexterous robot operations and unmanned intelligent systems.
• Nature-Inspired Computing: Leading various projects on Natural Computing and optimization algorithms sponsored by the National Natural Science Foundation

Academic Profile of Dr. Hongwei Mo:

• ResearchGate

Professor Mo has maintained an extensive and highly relevant publication record, especially in the areas of intelligent robotics, bio-inspired optimization, and advanced computing. His research often focuses on developing novel algorithms and control systems for autonomous and complex environments.

The list of recent publications of Professor Hongwei Mo is listed below:

• Mo, H. (Co-author). (2025). Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications. Article, Citation Forthcoming.
• Zhang, T. & Mo, H. (2023). Research on Perception and Control Technology for Dexterous Robot Operation. Journal of Harbin Engineering University, Vol. 44, No. 5.
• Razzaq, W. & Mo, H. (2023). Neural Circuit Policies Imposing Visual Perceptual Autonomy. Article, Full-text available (Journal/DOI Forthcoming).
• Zhang, T. & Mo, H. (2021). Reinforcement learning for robot research: A comprehensive review and open issues. International Journal of Swarm Intelligence Research, 12(3), 1–17.
• Ji, Q., Liu, H., Hou, C., & Mo, H. (2021). An Object Detection and Tracking Algorithm Combined with Semantic Information. Journal of Computer and Communications, 9(11), 1–12. DOI: 10.4236/jcc.2021.911001

Last Updated on October 09, 2025