Projects

Modeling and Control

  • Developing Service-Oriented Architectures to Enable Plug and Play Technology for Propulsion Control Systems, AF Phase I SBIR, Period: To be started 11/2019-8/2020.
  • Low-Cost Distributed Instrumentation and Control Testbed Development for Turbine Engines, AF Phase I SBIR, Period: To be started 11/2019-8/2020.
  • Optimal Attention Control Policies for Sensors and Actuators Scheduling in a Distributed Propulsion Control System, Air Force SBIR Phase I, 07/2018-04/2019, Phase II Period: 11/2019-11/2021.
  • Optimal Adaptive Control Architecture Development for TBCC Engines Integrated with MIPCC Systems, DARPA Phase I SBIR –07/2017-04/2018, and Phase II SBIR–12/2018-12/2020.
  • Engine Control Algorithm Development, AFRL Research Project, Phase 1 Period: 12/2017–03/2019 – Phase II Period: 06/2019-05/2021; (PI: Dr. Pakmehr).A Learning-Capable Optimal Control Architecture for Energy Optimization in Hybrid Electric UAVs, AF Phase I SBIR, Period: 08/2018 – 05/2019.
  • A Learning-Capable Optimal Control Architecture for Energy Optimization in Hybrid Electric UAVs, AF Phase I SBIR, Period: 08/2018 – 05/2019.
  • Developing an Adaptive TVC System for High-G Propulsion Control in Missile Interceptors, MDA SBIR Phase 1 Project - Performance Period: 11/2017 – 05/2018.

Photonics

  • Distributed Pressure Sensing System for Hypersonic Environments using Optical Fiber Technology, DARPA Phase I SBIR, Period: To be started 12/2019-6/2020.
  • Turbine Exhaust Gas Temperature (EGT) Sensor Development: FBG Based Sensing using Sapphire Optical Fibers, Air Force SBIR Phase 1, Period: 05/2018 – 02/2019.

Health Monitoring

  • Developed real-time structural health monitoring system for bridge monitoring and in field operation since 2012. Each edge device could support temperature sensor, accelerometers, inclinometers, water level sensor, water velocity sensor. Multiple edge nodes are synchronized to fraction of a millisecond. The edge device would operate on harvested solar energy with a rechargeable battery.  The edge device could be dynamically reconfigured for different sampling frequency and different reporting period. Data files are compressed and transmitted to remote server via asynchronous message queue, and backed up locally for specified duration. 

Custom contract development projects

  • Handheld Spectrometer - Developed reference design and firmware for a handheld spectrometer manufacturer that could be directly integrated with smart phone. In active commercial production.
  • Embedded Middleware for RF Sensor Interface - Developed embedded middleware to provide Application Level Event cycle specification and reporting using open web protocol. In active commercial production.