Northwest A&F University | China
Author Profile
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🎓 Early Academic Pursuits
Assoc. Prof. Dr. Tenglong Huang began his academic journey with a Bachelor of Engineering in Automation from Henan University of Technology (2015–2019), under the mentorship of Prof. Jingjing Yan. He then pursued his doctoral studies at the Harbin Institute of Technology, one of China's top engineering institutions, where he earned his Ph.D. in Control Science and Engineering in May 2024 under the esteemed guidance of Prof. Huijun Gao. His academic training laid a strong foundation in nonlinear control, intelligent systems, and robotics, which would define his career trajectory.
👨🏫 Professional Endeavors
In October 2024, Dr. Huang joined the College of Mechanical and Electronic Engineering at Northwest A&F University as an Associate Professor, where he continues to lead research and mentor the next generation of scholars. His professional engagements extend to multiple prestigious editorial and scientific boards. As of 2025, he serves on the Early Career Editorial Boards of Unmanned Systems Technology and Drones, as well as editorial roles for journals like Computer Science and Technology and Automation, Control and Intelligent Systems. These appointments reflect his growing leadership in the scientific community.
🔬 Contributions and Research Focus
Dr. Huang’s research contributions span across intelligent vehicles, mobile robots, robotic manipulators, and intelligent agriculture, with core expertise in nonlinear control, motion planning, and fault-tolerant systems. Noteworthy among his contributions is the Sine Resistance Network (SRN) for autonomous vehicle path planning, which improves trajectory smoothness and performance in dynamic environments. His publication in IEEE Transactions on Automation Science and Engineering introduced a bionic reliable suspension control system using pre-specified time convergence, enabling energy-efficient and fault-resilient vehicle dynamics.
Another impactful work includes a finite-time fault-tolerant integrated motion control system that ensures convergence and resilience in autonomous vehicle navigation, published in IEEE Transactions on Transportation Electrification. His research is widely recognized for eliminating the need for complex approximation tools while enhancing system reliability and computational efficiency.
🏅 Accolades and Recognition
Dr. Huang’s excellence has been recognized through various prestigious accolades, most notably earning Second Place (National First Prize) in the 2017 World Robot Contest Fighting Robot Competition. In addition to his technical achievements, he is a respected reviewer for top-tier journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, and IEEE Transactions on Intelligent Vehicles. He is also a frequent committee member and session chair at leading international conferences such as CVCI, ICRAIC, and China Automation Conference.
🌍 Impact and Influence
Dr. Huang’s research has had a transformative impact on the fields of autonomous driving and robotics, offering robust and innovative solutions to real-world engineering problems. His bioinspired and model-free control strategies have influenced both academic research and industrial applications. His interdisciplinary approach—integrating biology-inspired dynamics, control theory, and machine intelligence—demonstrates a pioneering spirit in the global smart mobility revolution. His mentorship and cross-institutional collaborations are helping shape new directions in intelligent automation and control systems.
🔭 Legacy and Future Contributions
As a leading voice in next-generation autonomous technologies, Assoc. Prof. Dr. Tenglong Huang is set to make even greater strides. With a growing portfolio of peer-reviewed publications, editorial board memberships, and global research collaborations, his work promises to further redefine the possibilities in autonomous systems, vehicle intelligence, and resilient control architectures. His visionary contributions continue to influence smart transportation, adaptive robotics, and intelligent agriculture—paving the way for more sustainable, safe, and responsive technological ecosystems.
Publications
📝 A Safe Motion Planning and Reliable Control Framework for Autonomous Vehicles
Authors: Huihui Pan, Mao Luo, Jue Wang, Tenglong Huang, Weichao Sun
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2024
📝 A Sensor Fault Detection, Isolation, and Estimation Method for Intelligent Vehicles
Authors: Tenglong Huang, Huihui Pan, Weichao Sun
Journal: Control Engineering Practice
Year: 2023
📝 Finite-Time Fault-Tolerant Integrated Motion Control for Autonomous Vehicles With Prescribed Performance
Authors: Tenglong Huang, Jue Wang, Huihui Pan, Weichao Sun
Journal: IEEE Transactions on Transportation Electrification
Year: 2023
📝 Adaptive Bioinspired Preview Suspension Control With Constrained Velocity Planning for Autonomous Vehicles
Authors: Tenglong Huang, Jue Wang, Huihui Pan
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2023
📝 Sine Resistance Network-Based Motion Planning Approach for Autonomous Electric Vehicles in Dynamic Environments
Authors: Tenglong Huang, Huihui Pan, Weichao Sun, Huijun Gao
Journal: IEEE Transactions on Transportation Electrification
Year: 2022