Shuo Pang

Electrical Engineering and Computer Science Dept
College of Engineering
Prescott College of Engineering

Areas of Expertise

Embedded systems, intelligent systems, real-time systems, autonomous underwater vehicles, autonomous vehicles, artificial intelligence, and unmanned systems
Shuo Pang

Dr. Shuo Pang received his B.S. degree in electrical engineering from Harbin Engineering University, China, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from University of California, Riverside, in 2001 and 2004, respectively. Currently, he is a professor in the Department of Electrical Engineering and Computer Science, at Embry-Riddle Aeronautical University, Daytona Beach, FL.

Dr Pang’s research spans theoretical-algorithm development and application-driven intelligent systems. His current research interests include embedded control systems, hybrid electrical vehicles energy management system, robotics, and artificial intelligence techniques for autonomous vehicles, i.e., autonomous vehicle chemical plume tracing, autonomous vehicle online mapping, and planning.

  • Ph.D. - Doctor of Philosophy in Electrical Engineering, University of California-Riverside
  • M.S. - Master of Science in Electrical Engineering, University of California-Riverside

  • EE 304: Electronic Circuits Lab
  • EE 302: Electronic Devices & Circuits
  • EE 690: Graduate Project
  • EE 300: Linear Circuits Analysis II
  • EE 510: Linear Systems

Journal articles

  1. Runlong Miao, Lingxiao Wang, Shuo Pang. Coordination of distributed unmanned surface vehicles via model-based reinforcement learning methods, Applied Ocean Research, Volume 122, 2022
  2. Lingxiao Wang and Shuo Pang. Robotic odor source localization via adaptive bio- inspired navigation usingfuzzy inference methods. Robotics and Autonomous Systems, 147:103914, 2022
  3. Mingxiao Yuan, Ye Li, Yueming Li, Shuo Pang, and Jucheng Zhang. A fast way of single-beacon localizationfor auvs. Applied Ocean Research, 119:103037, 2022
  4. Lingxiao Wang, Shuo Pang, and Jinlong Li. Olfactory-based navigation via model- based reinforcement learning and fuzzy inference methods. IEEE Transactions on Fuzzy Systems, 29(10):3014–3027, 2021
  5. Li Yiming, Li Ye, and Pang Shuo. Double-body coupled heading manoeuvrability response model considering umbilical lag of unmanned wave glider. Applied Ocean Research, 113:102640, 2021
  6. Tianqi Xie, Ye Li, Yanqing Jiang, Shuo Pang, and Haowei Wu. Turning circle based trajectory planning method of an underactuated auv for the mobile docking mission. Ocean Engineering, 236:109546, 2021
  7. Ming Lei, Ye Li, and Shuo Pang. Extended state observer-based composite-system con- trol for trajectory trackingof underactuated auvs. Applied Ocean Research, 112:102694, 2021
  8. Qi Jia, Yulei Liao, Peihong Xu, Zixiao Wang, Shuo Pang, and Xiangjie Li. Long- endurance dynamic path planning method of nsv considering wind energy capture. Journal of Marine Science and Engineering, 9(8), 2021
  9. Ming Lei, Ye Li, and Shuo Pang. Robust singular perturbation control for 3d path fol- lowing of underactuated auvs. International Journal of Naval Architecture and Ocean Engineering, 2021
  10. Li Yiming, Li Ye, and Pang Shuo. Variable-structure filtering method for an unmanned wave glider. AppliedOcean Research, 107:102450, 2021
  11. Hao Xu, Guo-cheng Zhang, Yu-shan Sun, and Shuo Pang. Energy-saving control of long-range autonomous underwater vehicle vertical plane based on human simulating intelligent control method. International Journal of Advanced Robotic Systems, 17(5), 2020
  12. Hao Xu, Guo-Cheng Zhang, Yu-Shan Sun, Shuo Pang, Xiang-Rui Ran, and Xiang-Bin Wang. Design and experiment of a plateau data-gathering auv. Journal of Marine Science and Engineering, 7(10):376, 2019
  13. Runlong Miao, Shuo Pang, and Dapeng Jiang. Development of an inexpensive de- centralized autonomous aquatic craft swarm system for ocean exploration. Journal of Marine Science and Application, 18(3):343–352, 2019
  14. Hai-Feng Jiu, Yu Chen, Wei Deng, and Shuo Pang. Underwater chemical plume trac- ing based on partially observable markov decision process. International Journal of Advanced Robotic Systems, 16(2), 2019
  15. Hao Xu, Guo-cheng Zhang, Jian Cao, Shuo Pang, and Yu-shan Sun. Underactuated auv nonlinear finite-time tracking control based on command filter and disturbance observer. Sensors, 19(22):4987, 2019
  16. Runlong Miao, Shuo Pang, Dapeng Jiang, and Zaopeng Dong. Complete coverage path planning for autonomous marine vehicle used in multi-bay areas. Acta Geodaetica et Cartographica Sinica, 48(2):256, 2019
  17. Shuo Pang and Haifeng Jiu. Current status of autonomous underwater vehicles research and development.Science & Technology Review, 23, 2015
  18. Hai Feng Jiu, Shuo Pang, and Bing Han. Research on float adjustment simulation system of frov. In AppliedMechanics and Materials, volume 427, pages 358–363. Trans Tech Publications Ltd, 2013
  19. Ru-jian Yan, Shuo Pang, Han-bing Sun, and Yong-jie Pang. Development and missions of unmanned surfacevehicle. Journal of Marine Science and Application, 9(4):451–457, 2010
  20. Shuo Pang, Jay A Farrell, and Wei Li. Auv-based chemical plume tracing-shuo pang (embry-riddle aeronauticaluniversity), jay a. farrell (university of california) and wei li (california state university) talk about tracingdevelopment. Sea Technology, 48(7):43– 46, 2007
  21. Shuo Pang and Jay A Farrell. Chemical plume source localization. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 36(5):1068–1080, 2006
  22. Wei Li, Jay A Farrell, Shuo Pang, and Richard M Arrieta. Moth-inspired chemical plume tracing on an autonomous underwater vehicle. IEEE Transactions on Robotics, 22(2):292–307, 2006
  23. Jay A Farrell, Shuo Pang, and Wei Li. Chemical plume tracing via an autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 30(2):428–442, 2005
  24. Jay A Farrell, Shuo Pang, and Wei Li. Plume mapping via hidden markov meth- ods. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 33(6):850–863, 2003

Conference proceedings

  1. Li, Jinlong, Pang, Shuo, Jiu, Haifeng, and Yin Jiang.  Source-Likelihood Mapping Using POMDP in Autonomous Hydrothermal Vent Prospecting.  In the 32nd International Ocean and Polar Engineering Conference, Shanghai, China, June 2022.
  2. Lingxiao Wang, Shuo Pang, and Jinlong Li. Learn to trace odors: Autonomous odor source localization via deep learning methods. In IEEE International Conference on Machine Learning and Applications (ICMLA), 2021
  3. Lingxiao Wang and Shuo Pang. An implementation of the adaptive neuro-fuzzy in- ference system (anfis) for odor source localization. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2020
  4. Lingxiao Wang, Shuo Pang, and Guangyu Xu. 3-dimensional hydrothermal vent lo- calization based onchemical plume tracing. In Global Oceans 2020: Singapore – U.S. Gulf Coast, pages 1–7, 2020
  5. Lingxiao Wang and Shuo Pang. Chemical plume tracing using an auv based on pomdp source mapping and a-star path planning. In OCEANS 2019 MTS/IEEE SEATTLE, pages 1–7. IEEE, 2019
  6. Qilin Hu, Shuo Pang, Yushan Sun, and Bing Han. Development of an autonomous underwater vehicle for water tunnel inspection. In OCEANS 2019 MTS/IEEE SEAT- TLE, pages 1–7. IEEE, 2019
  7. William Wang, Shuo Pang, Tongshu Wu, and Bing Han. Arduinosub—a low-cost rov kit for ocean engineering education. In OCEANS 2019 MTS/IEEE SEATTLE, pages 1–6. IEEE, 2019
  8. Xiaoting Shi, Hai Huang, Bo Wang, Shuo Pang, and Hongde Qin. Underwater cage boundary detection based onglcm features by using svm classifier. In 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pages 1169– 1174. IEEE, 2019
  9. Lingxiao Wang and Shuo Pang. Auv navigation based on inertial navigation and acoustic positioning systems.In OCEANS 2018 MTS/IEEE Charleston, pages 1–8. IEEE, 2018
  10. Chenkai Jia, Zhou Chen, Guocheng Zhang, Lei Shi, Yushan Sun, and Shuo Pang. Auv tunnel tracking methodbased on adaptive model predictive control. In IOP Conference Series: Materials Science and Engineering, volume 428, 2018
  11. Lulu Sun, Hongyun Chen, and Shuo Pang. Students’ perception of flipped classroom design in engineering courses. In ASEE Southeast Section Conference, 2017
  12. Shuo Pang, Zhou Chen, Junzhen Shao, Lei Shi, Ganqiang Zhang, and Ci Wen. Devel- opment of a surface vessel for aqueducts inspection and condition assessment in high flow environments. In OCEANS 2016 MTS/IEEE Monterey, pages 1–5. IEEE, 2016
  13. Runlong Miao and Shuo Pang. Development of a low-cost remotely operated vehicle for ocean exploration. In OCEANS 2015-MTS/IEEE Washington, pages 1–7. IEEE, 2015
  14. Hai-feng Jiu, Shuo Pang, Jin-long Li, and Bing Han. Odor plume source localization with a pioneer 3 mobile robot in an indoor airflow environment. In IEEE SOUTH- EASTCON 2014, pages 1–6. IEEE, 2014
  15. Hanshang Li, Ling Wang, Shuo Pang, and Massood Towhidnejad. A cross-layer design for data collecting of theuav-wireless sensor network system. In 2014 12th IEEE Inter- national Conference on Embedded and Ubiquitous Computing, pages 242–249. IEEE, 2014
  16. Shuo Pang and Ricardo Trujillo. Indoor localization using ultrasonic time difference of arrival. In 2013 Proceedings of IEEE Southeastcon, pages 1–6. IEEE, 2013
  17. Hanshang Li, Ling Wang, Shuo Pang, and Massood Towhidnejad. Path-finding algo- rithm for ground multiple sensor nodes detection of quad-rotor-typed uav. In 2013 10th International Conference on Information Technology: New Generations, pages 477–482. IEEE, 2013
  18. Shuo Pang, Hai-feng Jiu, Fei Duan, and Jin-xin Zhao. Research on simulation modeling for small autonomous underwater vehicle. In 2012 Oceans-Yeosu, pages 1–8. IEEE, 2012
  19. Bing Han, Hai-feng Jiu, Shuo Pang, and Jin-long Li. Hydrothermal plume simulation for autonomoushydrothermal vent discovery. In 2012 Oceans-Yeosu, pages 1–7. IEEE, 2012
  20. Jinlong Li, Shuo Pang, and Songlin Yang. Free roll decay modeling of a trimaran based on least square support vector machine. In 2012 Oceans, pages 1–8. IEEE, 2012
  21. Duan Fei and Pang Shuo. Comparison of two six-degree of freedom simulation models for mini autonomous underwater vehicle. In International Conference on Offshore Mechanics and Arctic Engineering, volume 44922,pages 281–287. American Society of Mechanical Engineers, 2012
  22. Shuo Pang. Plume source localization for auv based autonomous hydrothermal vent discovery. In OCEANS2010 MTS/IEEE SEATTLE, pages 1–8. IEEE, 2010
  23. Shuo Pang and Fangming Zhu. Reactive planning for olfactory-based mobile robots. In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 4375–4380. IEEE, 2009
  24. Tiffany Nickens, Dahai Liu, Albert Boquet, Shuo Pang, and Dennis A Vincenzi. In- vestigating factors relatedto fatalities in general aviation using neural network. In IIE Annual Conference. Proceedings, page 991. Institute of Industrial and Systems Engineers (IISE), 2009
  25. Shuo Pang. Development of a guidance system for auv chemical plume tracing. In OCEANS 2006, pages 1–6. IEEE, 2006
  26. Jay A Farrell, Shuo Pang, Wei Li, and Richard M Arrieta. Biologically inspired chemical plume tracing on an autonomous underwater vehicle. In 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583), volume 7, pages 5991–5996. IEEE, 2004
  27. Richard M Arrieta, Jay A Farrell, Wei Li, and Shuo Pang. Initial development and testing of an adaptive missionplanner for a small unmanned underwater vehicle. In In- ternational Conference on Offshore Mechanics andArctic Engineering, volume 36835, pages 609–617, 2003
  28. S Pang, J Farrell, R Arrieta, and W Li. Auv reactive planning: deepest point. In Oceans 2003. Celebrating thePast... Teaming Toward the Future (IEEE Cat. No. 03CH37492), volume 4, pages 2222–2226. IEEE, 2003
  29. Jay A Farrell, Shuo Pang, Wei Li, and Richard Arrieta. Chemical plume tracing experimental results with aremus auv. In Oceans 2003. Celebrating the Past... Teaming Toward the Future (IEEE Cat. No. 03CH37492),volume 2, pages 962–968. IEEE, 2003
  30. Shuo Pang, Jay Farrell, Jie Du, and Matthew Barth. Battery state-of-charge estima- tion. In Proceedings of the 2001 American control conference.(Cat. No. 01CH37148), volume 2, pages 1644–1649. IEEE, 2001