Jason Blough

e10e_ffN8HO15iEONOIBzYqBn6tuLx_ncbXacXJdyJwDr. Blough’s research includes dynamic measurement problems, developing new digital signal processing algorithms to understand NVH type problems and ways to improve the NVH characteristics of virtually any machine. He has made measurements on items as small as individual turbine blades to items as large as 45m diameter radio telescopes and many machines in between including automobiles, snowmobiles, M1 tanks, locomotives, and appliances. He has worked on automotive and snowmobile powertrains and other vehicle components to make them quieter. Currently, he is researching the implementation of active noise control systems in passenger vehicles.

Dr. Blough developed order tracking algorithms for processing data on rotating machinery that are commercially licensed. Additional digital signal processing projects have included Kalman Filter development for a specific automotive application
and Sound and Vibration Quality Jury and metric studies.

Dr. Blough is well versed in nearly all experimental NVH techniques including Modal Analysis, Transfer Path Analysis, Time-Frequency analysis, etc. He routinely teaches many of these techniques in the classroom and industry short courses. He also has experience in FEA and multi-body dynamics modeling.

Areas of Interest:

  • Vibrations
  • Unique Instrumentation/Data Acquisition
  • Digital Signal Processing
  • Noise Control

Research Expertise:

  • Dynamic Measurement Problems
  • Developing new digital signal processing algorithms to understand NVH type problems
  • Ways to improve the NVH characteristics of virtually any machine

Ossama Abdelkhalik

Abdelkhalik_0219Dr. Abdelkhalik conducts research in the area of dynamics, control, and  global optimization with applications to spacecraft trajectory planning, data assimilation in oil reservoirs, systems design, and traffic engineering. In some applications, the design space has numerous local minima, with mixed variables (integer and real), and the number of optimization variables can be varied among different solutions to explore new regions in the design space. Global optimization methods can handle problems with mixed variables and numerous local minima, but variable-size design space optimization is yet to be explored. The research focus is on the study of global optimization methods that can handle variable-size design space problems. Other research efforts include the recursive implementation of evolutionary optimization algorithms for the sake of improving the computational efficiency in data assimilation problems.

Areas of Expertise

  • Estimation of Dynamic Systems
  • Global Optimization
  • Data Assimilation
  • Controls and Control Systems