CV

Education

• Ph.D in Electrical and Computer Engineering, George Mason University, 2021
• B.S. in Detection, Navigation & Control, Northwestern Polytechnical University, 2015

Work experience

• 2024 - now: Assistant Professor
  • Michigan Technological University, Houghton, MI
• 2023 – 2024: Postdoctoral Researcher
  • University of Michigan (UMTRI), Ann Arbor, MI
• 2021 – 2022: Postdoctoral Researcher
  • Michigan State University, East Lansing, MI

Publications

Journal Articles.………………………………………………………………………………………………………….

1. F. Dang, D. Chen, J. Chen and Z. Li, Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving, IEEE Transactions on Intelligent Vehicles, Dec 2023
2. F. Dang, D. Chen, Y. Lu, Z. Li, Y Zhen, DeepCottonWeeds (DCW): A Novel Benchmark of YOLO Object Detectors for Weed Detection in Cotton Production Systems, Computers and Electronics in Agriculture 205, (2023)107655
3. F. Dang, S. Nasreen and F. Zhang, “DMD-Based Background Flow Sensing for AUVs in Flow Pattern Changing Environments”, IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5207-5214, July 2021
4. F. Dang and F. Zhang, “Distributed Flow Estimation for Autonomous Underwater Robots Using POD-based Model Reduction,” Journal of Dynamic Systems, Measurement, and Control, Special issue on Unmanned Mobile Systems, 141.7 (2019): 071010

Conference Articles………………………………………………………………………………………………

1. F. Dang, D. Chen, Y. Lu, Z. Li, Y. Zheng, “DeepCottonWeeds (DCW): A Novel Benchmark of YOLO Object Detectors for Weed Detection in Cotton Production Systems”, 2022 ASABE Annual International Meeting 2200214.(doi:10.13031/aim.202200214)
2. Q Liu, F Dang, X Wang, X Ren, Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller, 25th IEEE Intelligent Transportation Systems Conference (ITSC 2022), October 8-12, Macau, China
3. F. Dang, S. Nasreen and F. Zhang, “A novel FFT-assisted background flow sensing framework for autonomous underwater vehicles in dynamic environment with changing flow patterns”, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 336-341, 2020
4. F. Dang, S. Nasreen and F. Zhang, “Background Flow Sensing for Autonomous Underwater Vehicles Using Model Reduction with Dynamic Mode Decomposition,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, pp. 125-131, 2020
5. F. Dang and F. Zhang, ‘‘DMD-Based Distributed Flow Sensing For Bio-Inspired Autonomous Underwater Robots,’’ ASME Dynamic Systems and Control Conference (DSCC), Atlanta, GA, Paper DSCC2018-9113 (8 pp), 2018
6. F. Dang and F. Zhang, ‘‘Distributed Flow Estimation for Autonomous Underwater Robots Using POD-based Model Reduction,’’ the 57rd IEEE Conference on Decision and Control (CDC), Miami Beach, FL, pp. 4453-4458, 2018
7. F. Dang and F. Zhang, ‘‘Identification of Hydrodynamic Coefficients of a Robotic Fish Using Improved Extended Kalman Filter,’’ ASME Dynamic Systems and Control Conference (DSCC), Tysons Corner, VA, Paper 2017-5385 (9 pp), 2017