Junlin Ou received his B.S. and M.S. degrees from the Northwestern Polytechnical University, Xi’an, China, in 2016 and 2019, respectively, and the Ph.D. degree in Mechanical Engineering from the University of South Carolina, Columbia, SC, USA, in 2023. His research interests include real-time path planning, GPU/edge computing, machine learning, computer vision, robotics, and autonomous systems. He has published papers in prestigious journals and conferences, including Applied Soft Computing, Engineering Applications of Artificial Intelligence, Computer Methods in Applied Mechanics and Engineering, Engineering with Computers, Nano Letters, and Journal of Intelligent & Robotic Systems. In addition to his research and scholarly contributions, Dr. Ou actively serves the academic community as a reviewer for several prestigious journals and conferences, including ISA Transactions, Ocean Engineering, Journal of Ambient Intelligence and Humanized Computing, Journal of Automobile Engineering, Journal of Engineering Manufacture, and The Journal of Supercomputing. He is also an editor of Computers and Artificial Intelligence. Throughout his academic career, Dr. Ou has received multiple award nominations in recognition of his outstanding scholarly achievements and research contributions.

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J. Ou, X. Wu, Y. Qian, and Y. Wang. “GPU-enabled Evolutionary Dynamic Programming for Rapid Route and Rescue Planning for First Responders,” Journal of Traffic and Transportation Engineering (English Edition), 2025, Accepted.

G. Song, J. Ou, Y. Cao, and Y. Wang. “An Energy Auditing System based on Learnable Positional Embedding and Edge Computing for in-situ Monitoring of 3D Printing Processes” The International Journal of Advanced Manufacturing Technology, 2025.

J. Ou, G. Song, and Y. Wang. “Graphics processing unit-enabled path planning based on global evolutionary dynamic programming and local genetic algorithm optimization,” Applied Soft Computing, 2025.

X. Wei, D. Ma, J. Ou, G. Song, J. Guo, J. W. Robertson, Y. Wang, Q. Wang, and C. Liu. “Narrowing Signal Distribution by Adamantane Derivatization for Amino Acid Identification Using an α-Hemolysin Nanopore,” Nano Letters, 2024

J. Ou, S. H. Hong, G. Song, and Y. Wang. “Hybrid Path Planning based on Adaptive Visibility Graph Initialization and Edge Computing for Mobile Robots,” Engineering Applications of Artificial Intelligence, 2023.

H. Yang, J. Ou, and Y. Wang. “Neural-physics multi-fidelity model with active learning and uncertainty quantification for GPU-enabled microfluidic concentration gradient generator design,” Computer Methods in Applied Mechanics and Engineering, 2023.

J. Ou, S. H. Hong, T. Kyzer, H. Yang, X. Zhou, Y. Wang. “A low-cost indoor positioning system based on data-driven modeling for robotics research and education,” Robotica, 2023.

S. H. Hong, J. Ou, and Y. Wang. “Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter,” Neural Computing and Applications, 2022.

S. H. Hong, J. I. Shu, J. Ou, and Y. Wang. “GPU-enabled microfluidic design automation for concentration gradient generators,” Engineering with Computers, 2022.

J. Ou, S. H. Hong, P. Ziehl, and Y. Wang. “GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization,” Journal of Intelligent & Robotic Systems, 2022.  

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