Founder

Samuel M. Smith, Ph.D., Is the president and founder of ProSapien. ProSapien is a technology research and development company that specializes in intelligent systems development. ProSapien is based in Eagle Mountain, Utah.

Dr. Smith received a Ph.D. in Electrical and Computer Engineering from Brigham Young University (BYU) in 1991. He was a member of the Ocean Engineering Department faculty at Florida Atlantic University from 1991 until 2001. He received the FAU Researcher of the Year award in 1999 and also attained full professor status. Dr. Smith was director of the Advanced Marine Systems Lab.

Currently Dr. Smith also serves as president of Adept Systems, Inc., and has been a part-time research/adjunct professor at Brigham Young University. He has over 120 publications in the fields of intelligent control, networking, simulation, automation, and autonomous systems including seven book chapters, 20 journal papers, and 100 refererred conference papers.

Dr. Smith thas been principle investigator on over $18 million in sponsored research (combined academic and industrial). He has over 15 years experience in intelligent control, embedded systems design, networks, and autonomous vehicles. He was chief architect on three generations of autonomous underwater vehicles, including all phases of design software, electronics, and hardware.

Dr. Smith serves on the EIA committee for the EIA/ANSI 709.1 and 852 networking protocols. He has been a reviewer of NSF proposals and served on an NSF review board for EPRI. He has been a technical committee member at several IEEE conferences as well as a reviewer for several conferences. Dr. Smith was an associate editor of IEEE Transactions on Fuzzy Systems and has been a reviewer for IJAR, IEEE SMC, FS&S, Information Sciences among others. He has also been a session chair for numerous conferences. He was an invited participant at several NSF sponsored IARP workshops. He was a finalist for best paper at two successive FT&T conferences. Dr Smith was invited to present at the National Academy of Sciences for the Naval Studies Review Board. He has been honored by Sigma Xi, Tau Beta Pi, Etta Kappa Nu, and Phi Kappa Phi.

Selected Publications:

Feijun Song, and Samuel M. Smith, “Autonomous Underwater Vehicle Control Using Fuzzy Logic,” Invited Chapter, Intelligent Control Systems Using Soft Computing Methodologies. CRC Press 2001. pp. 243-260

S.M. Smith, D.T. Anderson, “An Adaptive Variable Structure Fuzzy Logic Controller,” Advances in Fuzzy Theory and Technology Vol 2, P.P. Wang editor, BookWrights Press, 1994, pp. 265-283, book chapter.

S.E. Dunn, S.M. Smith, P. Betzer, T. Hopkins, “Design of Autonomous Underwater Vehicles for Coastal Oceanography,” Underwater Robotic Vehicles: Design and Control, J. Yuh editor, TSI Press, 1994, pp. 299-326, book chapter

S.M. Smith, D.J. Comer, B.R. Nokleby, “A Computational Approach to Fuzzy Logic Controller Design and Analysis Using Cell State Space Methods,” Fuzzy Control Systems, A. Kandel and B. Langholtz Eds., CRC Press, 1993, book chapter.

B. Steer, S.E. Dunn, S.M. Smith, Workshop results on “Advancing and Assessing Autonomy in Underwater Vehicle Technology Through Inter-Institutional Competitions and/or Cooperative Demonstrations,” sponsored by NSF, Boca Raton FL, 1992.

Feijun Song Edgar An Samuel M. Smith, “Design of Optimal Robust Nonlinear Controllers for Autonomous Underwater Vehicles with Comparison of Simulated and At-sea Test Data”, To Appear in Journal of Vibration and Control.

Feijun Song and Samuel M. Smith, "Cell-State-Space-Based Search," IEEE Control System Magazine. August 2002, pp 42-56.

Smith, S.M.; An, P.E.; Holappa, K.; Whitney, J.; Burns, A.; Nelson, K.; Heatzig, E.; Kempfe, O.; Kronen, D.; Pantelakis, T.; Henderson, E.; Font, G.; Dunn, R.; Dunn, S.E, “The Morpheus Ultra Modular Autonomous Underwater Vehicle.” IEEE Journal of Ocean Engineering, October 2001 vol 26 # 4, Page(s): 453 -4651.

Grenon, G.; An, P.E.; Smith, S.M.; Healey, A.J.Enhancement of the inertial navigation system for the Morpheus autonomous underwater vehicles, IEEE Journal of Ocean Engineering, October 2001 vol 26 # 4, Page(s): 548 -560

Glegg, S.A.L.; Olivieri, M.P.; Coulson, R.K.; Smith, S.M., A passive sonar system based on an autonomous underwater vehicle. IEEE Journal of Ocean Engineering, October 2001 vol 26 # 4, Page(s): 700 -710

Edgar An, Manhar Dhanak, Lynn Shay, Samuel Smith, John Van Leer, “Coastal Oceanography Using a Small AUV”, Transactions of the American Meteorological Society. February 2001 pp 215-234

P.E. An, M. Dhanak, N. Shay, J. VanLeer, S.M. Smith, “Coastal Oceanography Using a Small AUV,” submitted to Journal of Atmospheric and Oceanic Technology, Sept 1998

J. Fang, S.M. Smith, I. Elishakoff, “Combination of Convex and Fuzz-Set-Based Analyses for Structural Optimization Under Uncertainty,” Mathematical Problems in Engineering

A. Neel, L. LeBlanc, J. Park, S.M. Smith, “Peer to Peer Communications Protocol,” Sea Technology, pp 10-15, May 1998

P.E. An, S.M. Smith, “An Experimental Database of the Ocean Explorer AUV for Self-Motion Controlled Study,” IEEE Transactions on Oceanic Engineering, Vol 23 No. 3 July 1998

S.M. Smith, K. Ganesan, P.E. An,S.E. Dunn, “Strategies for Simultaneous Multiple AUV Operation and Control,” International Journal of Systems Science, Vol. 29 No. 10, 1998, pp 1045 -1063

S.M. Smith, V. Kreinovich, “In Cose of Interval Uncertainty, Optimal Control is NP-Hard Even for Linear Plants, so Expert Knowledge is Needed,” APIC ’95, Extended Abstracts, A Supplement to the International Journal of Reliable Computing, 1995, pp 190-193

S.M. Smith, G.J.S. Rae, D.T. Anderson, A.M. Shein, “Fuzzy Logic Control of an Autonomous Underwater Vehicle,” Control Engineering Practice, Vol. 2. No. 2, pp. 321–331, 1994 (invited)

K.P. Venugopal, S.M. Smith, “Improving the Dynamic Response of Neural Network Controllers Using Velocity Reference Feedback,” IEEE Transactions on Neural Networks, Vol. 4, No. 2, pp. 355–357, March 1993

S.M. Smith, D.J. Comer, “Automated Calibration of a Fuzzy Logic Controller Using a Cell State Space Approach,” IEEE Control Systems Magazine, Vol. 11 No. 5, pp. 18–28, August 1991 (invited)