Dr. Tingjun Lei

Dr. Tingjun Lei

Assistant Professor at School of Electrical Engineering and Computer Science (SEECS), University of North Dakota

SELECTED PUBLICATION LIST

You can find my papers on my Google Scholar.

Journals

  1. Graph-Driven Multi-Robot Coordination With Situational Awareness for Hospital Service Robotics
    [ Link ]
    Tingjun Lei, S. Steen, C. Luo, J. Chen, and Y. Yuan, Expert Systems with Applications, Jan. 2027, doi:10.1016/j.eswa.2026.133787.

  2. Digital Twin-Driven Congestion-Aware Route Planning for Intelligent Transportation Systems
    [ Link ]
    Tingjun Lei, K. Ye, J. London, S. Shao, J. Chen, and C. Luo Intelligent Systems with Applications, Dec. 2026, doi:10.1016/j.iswa.2026.200741.

  3. Federated Cybersecurity Testbed as a Service (FCTaaS): A Framework to Federate Cybersecurity Testbeds
    [ Link ]
    J. Dean, Y. Lin, J. Encinas, I. Almazyad, Q. Shi, Z. Yang, S. Satam, Tingjun Lei, J. Zhang, S. Shao, S. Hariri, and P. Satam, Computers, Materials and Continua, Sep. 2026, doi:10.32604/cmc.2026.084915.

  4. Human-Autonomy Teaming in Robot Navigation Using Bioinspired Approach for Search and Rescue
    [ Link ]
    T. Sellers, Tingjun Lei, C. Luo, E. Yang and Z. Bi, IEEE Transactions on Human-Machine Systems, Apr. 2026, doi:10.1109/THMS.2026.3651248.

  5. Generative Adversarial Networks for Precision Animal Management: A Review
    [ Link]
    G. Li, Tingjun Lei, B. Ji, and A. Banakar, Journal of the American Society of Agricultural and Biological Engineers, Feb. 2026, doi:10.13031/ja.16507.

  6. A Dynamically Updating Graph-Based Navigation Scheme for Autonomous Vehicles
    [ Link ]
    T. Sellers, Tingjun Lei, C. Luo, Z. Bi, and G. E. Jan, Sensors and AI, Jan. 2026, doi:10.53941/sai.2026.100001.

  7. A Bio-Inspired Goal-Directed Cognitive Map Model for Robot Navigation and Exploration
    [ Link ][ ResearchGate ]
    M. Hicks, Tingjun Lei, C. Luo, D.W. Carruth, and Z. Bi, IEEE Transactions on Cognitive and Developmental Systems, Mar. 2025, doi:10.1109/TCDS.2025.3552085.

  8. Human Autonomy Teaming-Based Safety-Aware Navigation Through Bio-Inspired and Graph-Based Algorithms
    [ Link ][ ResearchGate ]
    T. Sellers, Tingjun Lei, C. Luo, Z. Bi, and G.E. Jan, Biomimetic Intelligence and Robotics, Oct. 2024, doi:10.1016/j.birob.2024.100189.

  9. On the Problems of Drone Formation and Light Shows
    [ Link ][ ResearchGate ]
    G.E. Jan, Tingjun Lei, C.-C. Sun, Z.-Y. You, and C. Luo, IEEE Transactions on Consumer Electronics, July. 2024, doi:10.1109/TCE.2024.3421516.

  10. Digital Twin-Embedded Multi-Objective Autonomous Vehicle Navigation Approach as Applied in Infrastructure Construction
    [ Link ][ ResearchGate ]
    Tingjun Lei, T. Sellers, C. Luo, Lei Cao, and Z. Bi, IET Cyber-Systems and Robotics, Mar. 2024, doi:10.1049/csy2.12110.

  11. Informed Sampling Space Driven Robot Informative Path Planning
    [ Link ][ ResearchGate ]
    P. Chintam, Tingjun Lei, B. Osmanoglu, Y. Wang, and C. Luo, Robotics and Autonomous Systems, Feb. 2024, doi:10.1016/j.robot.2024.104656.

  12. Bio-Inspired Intelligence-Based Multi-Agent Navigation with Safety-Aware Considerations
    [ Link ][ ResearchGate ]
    Tingjun Lei, C. Luo, S.X. Yang, D.W. Carruth, and Z. Bi, IEEE Transactions on Artificial Intelligence, Nov. 2023, doi:10.1109/TAI.2023.3334227.

  13. Graph-Based Robot Optimal Path Planning with Bio-Inspired Algorithms
    [ Link ][ ResearchGate ]
    Tingjun Lei, T. Sellers, C. Luo, D.W. Carruth, and Z. Bi, Biomimetic Intelligence and Robotics, vol. 3, no. 3, p. 100119, Sep. 2023, doi:10.1016/j.birob.2023.100119. (Best Paper Award)

  14. A Bio-Inspired Algorithm in Image-Based Path Planning and Localization Using Visual Features and Maps
    [ Link ][ ResearchGate ]
    D. Short, Tingjun Lei, D.W. Carruth, C. Luo, Z. Bi, Intelligence and Robotics, vol. 3, no. 2, pp. 5103, Jun. 2023, doi:10.20517/ir.2023.14. (Selected and Featured as Cover Paper)

  15. A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning
    [ Link ][ ResearchGate ]
    Tingjun Lei, P. Chintam, C. Luo, L. Liu, G.E. Jan, Sensors, vol. 23, no. 11, pp. 5103, May. 2023, doi:10.3390/s23115103.

  16. Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance
    [ Link ][ ResearchGate ]
    Z. Chu, F. Wang, Tingjun Lei, and C. Luo, IEEE Transactions on Intelligent Vehicles, vol. 8, no. 1, pp. 108-120, Jan. 2023, doi:10.1109/TIV.2022.3153352.

  17. Multi-Task Allocation Framework with Spatial Dislocation Collision Avoidance for Multiple Aerial Robots
    [ Link ][ ResearchGate ]
    Tingjun Lei, C. Luo, T. Sellers, Y. Wang, and L. Liu, IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 6, pp. 5129-5140, Dec. 2022, doi:10.1109/TAES.2022.3167652.

  18. An Informative Planning-Based Multi-Layer Robot Navigation System as Applied in a Poultry Barn
    [ Link ][ ResearchGate ]
    Tingjun Lei, G. Li, C. Luo, L. Zhang, L. Liu, and R.S. Gates, Intelligence and Robotics, vol. 2, no. 4, pp. 313-32, Oct. 2022, doi: 10.20517/ir.2022.18. (Selected and Featured as Cover Paper)

  19. A Node Selection Algorithm to Graph-Based Multi-Waypoint Optimization Navigation and Mapping
    [ Link ][ ResearchGate ]
    T. Sellers, Tingjun Lei, C. Luo, G.E. Jan, and J. Ma, Intelligence and Robotics, vol. 2, no. 4, pp. 333-54, Oct. 2022, doi: 10.20517/ir.2022.21.

  20. Deep Learning-Based Complete Coverage Path Planning with Re-Joint and Obstacle Fusion Paradigm
    [ Link ][ ResearchGate ]
    Tingjun Lei, C. Luo, G.E. Jan, and Z. Bi, Frontiers in Robotics and AI, vol. 9, p. 843816, Mar. 2022, doi: 10.3389/frobt.2022.843816.

  21. A Bat-Pigeon Algorithm to Crack Detection-Enabled Autonomous Vehicle Navigation and Mapping
    [ Link ][ ResearchGate ]
    Tingjun Lei, C. Luo, T. Sellers, and S. Rahimi, Intelligent Systems with Applications, vol. 12, p. 200053, Nov. 2021, doi: 10.1016/j.iswa.2021.200053.

Selected Conferences

  1. A Fuzzy-Probabilistic Framework for NPC Emotion Modeling with Interpretability and Variability
    [ Link ]
    M. Phillips, Tingjun Lei, C. Luo, E. Kim, and S. Shao,
    2026 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Maastricht, Netherlands, 2026, pp. 1-6, doi: doi.org/10.1109/FUZZ69877.2026.11626414.

  2. Impact of GNSS Signal Loss on UAV Trajectory Prediction with Multi-Modal Deep Learning Models
    [ Link ]
    M. Abdelsalam, I. Boukabou, R. Amin, A. Devanga, Tingjun Lei, and N. Kaabouch, 2026 Integrated Communications, Navigation and Surveillance Conference (ICNS), Herndon, VA, USA, 2026, pp. 1-7, doi: doi.org/10.1109/ICNS69853.2026.11570329. (Best Paper Award)

  3. Deep Reinforcement Learning for USV Navigation in Dynamic Ocean Environments
    [ Link ]
    A. Devanga, Tingjun Lei, J. Hu, C. Luo, and S. Shao, 2025 IEEE International Conference on Robotics and Biomimetics (ROBIO), Chengdu, China, 2025, pp. 1024-1029, doi: 10.1109/ROBIO66223.2025.11375987.

  4. A Neural Field Approach to Robot Navigation with Brain-Inspired Goal-Directed Cognitive Maps
    [ Link ]
    M. Hicks, Tingjun Lei, T. Sellers, C. Luo, and E. Yang, 2025 IEEE International Conference on Robotics and Biomimetics (ROBIO), Chengdu, China, 2025, pp. 269–276, doi: 10.1109/ROBIO66223.2025.11377267. (Best Paper Finalist)

  5. Trustworthy Cyber-Resilient Reinforcement Learning for Secure Navigation under Adversarial Attack
    [ Link ]
    A. Devanga, Tingjun Lei, J. Hu, J. Chen, and C. Luo, 2025 IEEE Cyber Awareness and Research Symposium (CARS), Grand Forks, ND, USA, 2025, pp. 1–6, doi: 10.1109/CARS67163.2025.11337781. (Best Paper Award)

  6. Human Activity Recognition and Biomedical Signal Classification Using Multi-Modal Deep Learning
    [ Link ][ ResearchGate ]
    J. London, Tingjun Lei, C. Luo, and Y. Yuan, 2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS), Lansing/E. Lansing, MI, USA, 2025, pp. 676-680, doi: 10.1109/MWSCAS53549.2025.11244504. (Best Paper Finalist)

  7. A Neural Network Approach to Image-Based Navigation and Localization
    [ Link ][ ResearchGate ]
    D. Short, Tingjun Lei, L. Liu, C. Luo, and E. Yang, 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-6, doi: 10.1109/IJCNN64981.2025.11227291. (Honorable Mentions Award)

  8. A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping
    [ Link ][ ResearchGate ]
    M. Hicks, Tingjun Lei, C. Luo, L. Liu, and Z. Bi, 2025 IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China, 2025, pp. 1-6, doi: 10.1109/CEC65147.2025.11042975.

  9. A Moss Growth Optimization Approach to Robot Path Planning
    [ Link ][ ResearchGate ]
    S. Steen, Tingjun Lei, C. Luo, S. Shao, and L. Gong, 2025 IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China, 2025, pp. 1-4, doi: 10.1109/CEC65147.2025.11043085.

  10. Optimal Multi-Target Navigation via Graph-Based Algorithms in Complex Environments
    [ Link ][ ResearchGate ]
    B. Black, T. Sellers, Tingjun Lei, C. Luo, and D.W. Carruth, 33rd International Symposium on Industrial Electronics (ISIE), Ulsan, Republic of Korea, 2024, pp. 1-6, doi: 10.1109/ISIE54533.2024.10595682.

  11. Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation
    [ Link ][ ResearchGate ]
    T. Sellers, Tingjun Lei, C. Luo, L. Liu, and D.W. Carruth, 4th IEEE International Conference on Human-Machine Systems (ICHMS), Toronto, ON, Canada, 2024, pp. 1-6, doi: 10.1109/ICHMS59971.2024.10555725.

  12. Human-Autonomy Teaming-Based Robot Informative Path Planning and Mapping Algorithms with Tree Search Mechanism
    [ Link ][ ResearchGate ]
    Tingjun Lei, P. Chintam, D.W. Carruth, G.E. Jan, and C. Luo, 2022 IEEE 3rd International Conference on Human-Machine Systems (IEEE ICHMS), Orlando, FL, USA, 2022, pp. 1-6, doi: 10.1109/ICHMS56717.2022.9980708.

  13. A Bio-Inspired Neural Network Approach to Robot Navigation and Mapping with Nature-Inspired Algorithms
    [ Link ][ ResearchGate ]
    Tingjun Lei, T. Sellers, C. Luo, and Li Zhang, 2022 13th International Conference on Swarm Intelligence (ICSI 2022), Xi’an, China, July 15–19, 2022, Proceedings, Part II (pp. 3-16). Cham: Springer International Publishing, doi:10.1007/978-3-031-09726-3_1. (Best Paper Award)

  14. A Graph-Based Ant-like Approach to Optimal Path Planning
    [ Link ][ ResearchGate ]
    Tingjun Lei, C. Luo, J.E. Ball, and S. Rahimi. 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020), Glasgow, UK, 2020, pp. 1-6, doi:10.1109/CEC48606.2020.9185628.