Dr. Reza Adhami

Professor Emeritus, Electrical & Computer Engineering Department


Dr. Adhami has nearly 25 years of experience in the areas of digital signal processing, digital image processing, speech recognition, and pattern recognition. He has contributed to the many applications of wavelet transform including vibration analysis, mammographic lesion classification, localized computed tomography, and data compression.


  • Ph.D., Electrical Engineering, University of Alabama in Huntsville, 1985
  • M.S., Electrical Engineering, University of Alabama in Huntsville, 1982
  • B.S., Electrical Engineering, University of Alabama in Huntsville

Honors & Awards

  • IEEE USA Professional Achievement Award for “leadership in building collaborative relationships between industry and academia.”
  • Apple-ISS, Outstanding Research Award
  • IEEE Region III OutstandingService Award
  • IEEE Region III Outstanding Educator Award
  • IEEE Huntsville Chapter, Outstanding Educator

Selected Publications

  • “Mitigating motion artifact in FDK based 3D Cone-beam Brain Imaging System using markers,” Ujjal K. Bhowmik, M. Zafar Iqbal, and Reza R. Adhami, Central European Journal of Engineering, DOI: 10.2478/s13531-012-0011-7.
  • “A Novel Technique for Mitigating Motion Artifacts in 3D Brain Imaging System,” Ujjal K. Bhowmikand Reza R. Adhami, Scientific Iranica, in press, March 2013.
  • “Color image trend adjustment using a color bidimensional empirical mode decomposition method,” Sharif M. A. Bhuiyan, Mohammd S. Alam, Reza R. Adhami, Journal of Electronic Imaging, Vol. 21, No. 3, 2012.
  • “Feature Points Extraction from the Local Frequency Map of an Image,” Jesmin F. Khan, Reza R. Adhami, Sharif M. A. Bhuiyan, Journal of Electrical and Computer Engineering, Vol. 2012, Article ID 182309, pp. 1-15, 2012.
  • “Correlation and Support Vector Machine based Motion Artifacts Mitigation in 3D Computer Tomography,” Ujjal K. Bhowmik, and Reza R. Adhami, Journal of X-ray Science and Technology, IOS Press, Vol. 20, No. 2, pp. 141-160, May 2012.
  • “Wide Range FBG Displacement Sensor Based on Twin-Core Fiber Filter”, Yi Zou, Xiaopeng Dong, Ganbin Lin, and Reza Adhami, IEEE Journal of Lightwave Technology, Vol. 30, No. 3, February 1, 2012.