"The greatest obstacle to discovery is not ignorance
- ​it is the illusion of knowledge"​                  
                                                                                                                    - Daniel J. Boorstin 
​

Book:
Ahmed M. A. Ali, High Speed Data Converters, The Institution of Engineering & Technology (IET), 2016.

Book Chapter:
Ahmed M. A. Ali, “High performance pipelined A/D converters in CMOS and BiCMOS processes”, in Nyquist AD Converters, Sensor Interfaces and Robustness, Roermund, A.H.M. et al., (Ed.), Springer, 2013, (Book Chapter).

Peer Reviewed Papers:
  1. "A 12b 18GS/s RF Sampling ADC with an Integrated Wideband Track-and-Hold Amplifier and Background Calibration," IEEE International Solid State Conference (ISSCC), pp. 250-251, 2020.
  2. "Analysis and Comparison of High-Resolution GS/s Samplers in Advanced BiCMOS and CMOS", IEEE Trans. Circuits and Systems II: Express Briefs, Vol. 65 (5), pp. 532-536, May 2018.
  3. "High speed pipelined ADCs: Fundamentals and variants", IEEE Custom Integrated Circuits Conference (CICC), April 2018.
  4. "A 14-bit 2.5GS/s and 5GS/s RF Sampling ADC with Background Calibration and Dither”, IEEE VLSI Circuits Symposium, pp. 206-207, 2016.
  5. “Advanced calibration techniques for high-speed and high-resolution ADCs”, IEEE International Solid State Circuits Conference (ISSCC), Forum F2, 2016.
  6. “A 14-bit 1 GS/s RF Sampling Pipelined ADC with Background Calibration”, IEEE J. Solid State Circuits (JSSC), Vol. 49 (12), pp. 2846 – 2856, December, 2014.
  7. “A 14-bit 1 GS/s RF Sampling Pipelined ADC with Background Calibration”, IEEE International Solid State Circuits Conf. (ISSCC), pp. 482 – 483, 2014.
  8. “A 16-bit 250-MS/s IF Sampling Pipelined ADC with Background Calibration”, IEEE J. Solid State Circuits (JSSC), Vol. 45 (12), pp. 2602 – 2612, 2010.
  9. “A 16-bit 250-MS/s IF Sampling Pipelined ADC with Background Calibration”, IEEE International Solid State Circuits Conf. (ISSCC), pp. 292 – 293, 2010.
  10. “A 14-bit, 125 MS/s IF/RF sampling pipelined A/D Converter with 100dB SFDR and 50fs jitter”, IEEE J. Solid State Circuits (JSSC), Vol. 41 (8), pp. 1846 – 1855, 2006.
  11. “A 14-bit, 125 MS/s IF/RF sampling pipelined A/D Converter”, IEEE Custom Integrated Circuits Conference, CICC 2005.
  12. “A 100dB SFDR 80MSPS 14-bit 0.35um BiCMOS pipeline ADC”, IEEE J. Solid State Circuits (JSSC), Vol. 41 (9), pp. 2144 – 2153, 2006.
  13. “A 100dB SFDR 80MSPS 14-bit 0.35um BiCMOS pipeline ADC”, IEEE Bipolar/BiCMOS Circuits and Technology Meeting (BCTM), pp. 141 – 143, 2005.
  14. “High performance pipelined A/D converters in CMOS and BiCMOS processes”, Advances in Analog Circuit Design Conference (AACD), 2012 (Invited Paper).
  15. “Analysis and Design of low jitter clocks for high resolution ADCs”, IEEE International Solid State Circuits Conf. (ISSCC) workshop, 2009.
  16. “Background calibration of operational amplifier gain error in pipelined A/D converters”, IEEE Transactions on Circuits and Systems II, Vol. 50 (9), pp. 631-634, September, 2003.
  17. “Correction of Amplifier Gain Error in Pipelined A/D Converters”, IEEE International Symposium on Circuits and Systems (ISCAS-2001), pp. 568-571, May 2001.
  18. “12bit, 170MHz ADC - Theory and practice at the leading edge”, TI High Speed A/D Converter Symposium, May 2002.
  19. "Automatic Generation of Analog Behavioral Models", IEEE International Conference on Electronics, Circuits and Systems (ICECS-94), 1994.
  20. "Analog Behavioral Modeling of Artificial Neural Networks", Proc. of the 6th Int. Conf. on Microelectronics (ICM'94), Istanbul, Turkey, 1994, pp. 140 - 143. 1994.
  21.  “Analog VLSI Neural Networks”, M.Sc. Dissertation, Ain Shams University, 1994.
  22. "An Acoustic-Phonetic Feature-based System for the Automatic Recognition of Fricative Consonants", Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-98), vol. II, pp. 961-964, 1998.
  23. "A GUI System for Speech Synthesis through Graphical Manipulation of Spectrograms", IEEE International Symposium on Circuits and Systems (ISCAS-99), pp. III-106 - III-109, 1999.
  24. "An Acoustic-Phonetic Feature-Based System for Automatic Phoneme Recognition in Continuous Speech", IEEE International Symposium on Circuits and Systems (ISCAS-99), III-118 - III-121, 1999.
  25.  “Auditory-based acoustic-phonetic signal processing for robust continuous speech processing”, Ph.D. Dissertation, University of Pennsylvania, 1999.
  26. "Auditory-based speech processing based on the average localized synchrony detection", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2000), Vol. 3. pp. 1623-1626, 2000.
  27. "Acoustic-phonetic features for the automatic classification of stop consonants", IEEE Transactions on Speech and Audio Processing, vol. 9, no. 8, pp. 833-841, November, 2001.
  28. "Robust auditory-based speech processing using the average localized synchrony detection", IEEE Transactions on Speech and Audio Processing, pp. 279-292, July 2002.
  29. "Robust Classification of Stop Consonants using Auditory-based Speech Processing", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2001), pp. 81-84, May 2001.
  30.   "Auditory-Based Acoustic-Phonetic Feature Extraction for the Segmentation and Recognition of Continuous Speech", The 33rd Annual Conference on Information Sciences and systems, CISS'99, (Invited Paper), March 17-19, 1999, The Johns Hopkins University, Baltimore, Maryland. 
  31. "Auditory-Based Signal Processing for Robust Speech Recognition", The 35th Annual Conference on Information Sciences and systems, CISS'01, (Invited Paper), March 21-23, 2001, The Johns Hopkins University, Baltimore, Maryland.
  32. "Acoustic-Phonetic features for the automatic classification of Fricatives", Journal of the Acoustical Society of America, vol. 109, pp. 2217-2235, May 2001.
  33. "Acoustic-phonetic features for the automatic recognition of stop consonants", Journal of the Acoustical Society of America, pp. 2777-2778, 103 (5), 1998.
  34. "Acoustic-Phonetic Features for the Automatic Recognition of Stop Consonants", Proceedings of the 16th International Congress on Acoustics (ICA) and 135th Meeting of the Acoustical Society of America (ASA), pp. 275-276, 1998.
  35. "Automatic Detection and Classification of Stop Consonants using an Acoustic-Phonetic Feature-Based System", XIVth International Congress of Phonetic Sciences (ICPhS’99), pp. 1709-1712, 1999.
  36. "Speech processing using the average localized synchrony detection ", Journal of the Acoustical Society of America, pp. 2908, 107, 2000.

Dissertations:
- Ahmed M.A. Ali, "Auditory-based acoustic-phonetic signal processing for robust continuous speech recognition", Ph.D. Dissertation, University of Pennsylvania, 1999.
- Ahmed M.A. Ali, "Analog VLSI Neural Networks", M.Sc. Dissertation, Ain Shams University, 1994.
 © Copyright 2016 Ahmed M. A. Ali