Associate Professor of Electrical and Computer Engineering
Electrical, Computer, Software & Systems Engr Dept
Daytona College of Engineering
Daytona Beach campus

Areas of Expertise

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


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 an Associate Professor in the Department of Electrical, Computer, Software, and Systems Engineering, 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 System : Riverside
  • M.S. - Master of Science in Electrical Engineering, University of California System : Riverside

  • CEC 220: Digital Circuit Design
  • CEC 222: Digital Circuit Design Lab
  • EE 510: Linear Systems
  • EE 690: Graduate Project
  • SE 690: Graduate Research Project


CEC 220 Digital Circuit Design
CEC 440 Autonomous Vehicle Design
CEC 470 Computer Architecture
ES 405 Electrical Engineering II


Journal Articles
1) Pang, S., and Farrell, J., "Chemical Plume Source Localization," IEEE Transactions on System, Man, and Cybernetics - Part B, vol. 36, num. 5, pp. 1068-1080, 2006.

2) Li, W., Farrell, J., Pang, S., Arrieta, R., "Moth Behavior Based Subsumption Architecture for Chemical Plume Tracing on a REMUS Autonomous Underwater Vehicle," IEEE Transactions on Robotics and Automation. vol. 22, num. 2, pp. 292-307, 2006.

3) Farrell, J., Pang, S., and Li, W., "Chemical Plume Tracing via an Autonomous Underwater Vehicle," IEEE Journal of Oceanic Engineering, vol. 30, issue 2, pp. 428-442, 2005.

4) Farrell, J., Pang, S., and Li, W., "Plume Mapping via Hidden Markov Methods," IEEE Transactions on System, Man, and Cybernetics - Part B, vol. 33, num. 6, pp. 850-863, 2003.

Conference Articles
1) Pang, S, "Development of a Guidance System for Autonomous Underwater Vehicle Chemical Plume Tracing," Oceans'06 MTS/IEEE-Boston, Boston , MA , Sept. 18-21, 2006.

2) Farrell, J., Pang, S., Li, W., and Arrieta, R. "Biologically Inspired Chemical Plume Tracing on an Autonomous Underwater Vehicle," IEEE International Conference on Systems, Man and Cybernetics The Hague, The Netherlands, October 10-13 2004 (Invited paper)

3) Pang, S., Farrell, J., Arrieta, R., and Li, W., "AUV Reactive Planning: Deepest Point," Oceans 2003 Marine Technology and Ocean Science Conference, San Diego , CA , Sept. 22-26, 2003.

4) Farrell, J., Li, W., Pang, S., and Arrieta, R. "Chemical Plume Tracing Experimental Results with a REMUS AUV," Oceans 2003 Marine Technology and Ocean Science Conference, San Diego , CA , Sept. 22-26, 2003.

5) Arrieta, R., Farrell, J., Li, W., and Pang, S., "Initial Development and Testing of An Adaptive Mission Planner for A Small Unmanned Underwater Vehicle," 22nd International Conference on Offshore Mechanics and Artic Engineering, Cancun , Mexico , June 8-13, 2003.

6) Pang, S., Farrell, J., Du, J., and Barth, M. "Battery State-of-Charge Estimation," IEEE 2001 American Control Conference, Arlington Virginia , June 25-27, 2001.