Dr. Reza Adhami

Professor Emeritus / Research Professor, Electrical & Computer Engineering Department

Biography

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.


Education

  • 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

  • “Building Descriptors From Local Feature Neighborhoods for Applications in Semi-Dense 3D Reconstruction”, Schmid, Benjamin J. and Adhami, Reza, IEEE Trans. On Image Processing, Vol. 27, Issue 11, November 2018, pp. 5471-5500.
  • “Design of a Short Range Continuous Wave Compound Phase Coded Linear Frequency Modulation Radar Sensor,” J. Reneau and R. R. Adhami, Progress In Electromagnetics Research B, Vol. 82, 115-135, 2018.
  • “Differential Phase Measurement Accuracy of a MonobitReceiver,” J. Reneau and R. R. Adhami, IEEE Access, 12 November, 2018.
  • “An Overview of Mammogram Analysis”, Huda Al-Ghaib, Reza Adhami, and Melanie Scott. IEEE Potentials Magazine, 2016.
  • “A Novel Supervised Learning Algorithm for Salt-and-Pepper Noise Detection,” Yi Wayng, Reza Adhami, Jian Fu, and Huda Alghaib, International Journal of Machine Learning and Cybernetics, June 2015.
  • “An Algorithm for Real-Time Measurement of the Smart Grid PMU Parameter,” Abouzar Rahmati and Reza Adhami, Journal of Electric Power Components and Systems, UEMPO-2014-0741. R1, Nov. 2014.
  • “An Overcurrent Protection Relay Based on Local Measurement,” Abouzar Rahmati and Reza Adhami, Industry Applications, IEEE Transaction on, vol.PP, no 99, pp1,1, doi:10.1109/TIA, 2014.2385933
  • “An Accurate Filtering Technique to Mitigate Transient Decaying DC Offset,” Abouzar Rahmati and Reza Adhami, Power Delivery, IEEE Transactions on, vol.29, no.2, pp.966-968, April 2014, doi: 10.1109/TPWRD.2013.2288011
  • “Real-Time Electrical Variables Estimation Based on Recursive Wavelet Transform,” Abouzar Rahmati and R. Adhami, EEE Trans. on Power Delivery, vol.50, no.6, pp.4202,4209, Nov.-Dec. 2014 doi: 10.1109/TIA.2014.2313652.
  • “A Fault Detection and Classification Technique Based on Sequential Components,” Abouzar Rahmati and R. Adhami, Industry Applications, IEEE Transactions on , vol.50, no.6, pp.4202,4209, Nov.-Dec. 2014 doi: 10.1109/TIA.2014.2313652
  • “A Fourier Transform Based Filtering Technique to Mitigate Decaying DC Offset,” Abouzar Rahmati and R. Adhami, IEEE Transaction on Power Delivery, IEEE Transaction on Power Delivery, 2013.
  • “Mitigating motion artifact in FDK based 3D Cone-beam Brain Imaging System using markers,” Ujjal K. Bhowmik, M. Zafar Iqbal, and R. Adhami, Central European Journal of Engineering, DOI: 10.2478/s13531-012-0011-7.