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Brian M. Bole graduated from the FSU-FAMU School of Engineering in 2008 with a B.S. in Electrical and Computer Engineering and a B.S. in Applied Math. Brian received a M.S. degree in Electrical Engineering from the Georgia Institute of Technology in 2011, and he is currently pursuing a Ph.D.

Research Interests

  • Analysis of Stochastic Processes
  • Optimization of Stochastic Systems
  • Uncertainty Representation in Failure Prognosis
  • Fault Growth Prognostics Based Risk Assessment
  • Battery Prognosis
  • Identification and Validation of Prognostics Based Health Management Control Policies

Brian is currently investigating the use of risk management and stochastic optimization techniques for optimal adaptation of active component load allocations in robotic and aviation applications.

Selected Publications

Bole, B., Goebel, K., Vachtsevanos, G. “Markov Modeling of Component Fault Growth Over a Derived Domain of Feasible Output Control Effort Modifications” ''Annual Conference of the Prognostics and Health Management Society'', 2012.

Bole, B., Goebel, K., Vachtsevanos, G. “Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions” ''The American Institute of Aeronautics and Astronautincs (AIAA) Infotech Conference'', 2012.

Bole, B., Coogan, S., Cubero-Ponce, C., Edwards, D., Melsert, R., and Taylor, D., “Energy Management Control of a Hybrid Electric Vehicle with Two-Mode Electrically Variable Transmission” ''The 26th Annual Electric Vehicle Symposium EVS26'', 2012.

Bole, B., Tang, L., Goebel, K., and Vachtsevanos, G. “Adaptive Load-Allocation for Prognosis-Based Risk Management,” ''Annual Conference of the Prognostics and Health Management Society'' 2011.

Bole, B., Brown, D., Pei, H.-L., Goebel, K., Tang, L., and Vachtsevanos, G. “Fault Adaptive Control of Overactuated Systems Using Prognostic Estimation” ''Annual Conference of the Prognostics and Health Management Society,'' 2010.

Brown, D., Georgoulas, G., Bole, B., Pei, H., Orchard, M., Tang, L., Bhaskar, S., Saxena, A., Goebel, K., and Vachtsevanos, G. “Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators” ''2nd International Conference on Prognostics and Health Management (PHM)'', 2009.

PhD Candidate: Georgia Tech ECE department

Visiting Fellow: Intelligent Systems Division NASA Ames Research Center

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