Dr. Smith’s research focus areas include: (a) monitoring/instrumentation, (b) process modeling and data analytics (physics-based and data-driven, such as machine learning), and (c) control systems (nonlinear, adaptive controls).

His interests include process modeling and control, applied energy, electromechanical systems, and manufacturing.

Modeling and Control of Processes and Systems

  • Real-time modeling and adaptive control
  • Nonlinear system dynamics and stability
  • Data analytics and machine learning
  • Instrumentation-based process control
  • Process automation and optimization
  • Data-driven decision making

Applied Energy and Energy Generation Systems

  • Smart Grid, Microgrid, Power Plants
  • Distributed Energy Resources

Nuclear Energy (Fission and Fusion, Nuclear Fuel Cycle)

  • Used nuclear fuel transportation
  • Process instrumentation and sensors
  • Safety control systems and process systems

Electromechanical Systems

  • Robotics
  • Magnetic shielding


  • Machining (e.g., CNC milling, on-machine probing)