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One final paper for Abdulaziz Alhoshany

posted May 20, 2018, 1:10 PM by Khaled salama   [ updated Oct 8, 2018, 1:44 PM ]
Abdulaziz, the most recent PhD graduate from our group, managed to get the last and final chapter of his thesis accepted at the prestigious 
IEEE Transactions on Instrumentation & Measurement.  In a paper titled, "A Precision, Energy-Efficient, Oversampling, Noise-Shaping Differential SAR Capacitance-to-Digital Converter ", we propose an energy-efficient, noise-shaping SAR CDC (NS-SAR CDC) for high precision that achieves capacitive resolution in the attofarad range. The proposed CDC architecture combines the merits of noise shaping and SAR CDC. High capacitive resolution is achieved by the introduced oversampling and noise shaping techniques in the SAR architecture. Large parasitic capacitance can be tolerated, and the differential implementation provides robustness against common mode noise, noise coupling, and errors. In addition, the proposed architecture overcomes the parasitic-dependent conversion errors which make the CDC robust and insensitive to parasitic capacitances.  The proposed differential noise-shaping SAR CDC achieves 150aF absolute resolution and an energy-efficiency FoM of 187fJ/conversion-stepProf. Pamela Abshire, Fellow IEEE and professor at the university of Maryland,  commented that " This work presents a major contribution to the field of capacitance-to-digital converters, particularly for low power and high energy efficiency. The comparison between different CDC approaches and the related text is very nice." 

Energy consumed per measurement vs ENOB for state-of-the art CDCs

Congratulations Dr. Abdulaziz Alhoshany

More details can be found in his thesis titled "Energy-Efficient Capacitance-to-Digital Converters for Smart Sensor Applications". Altogether Abdulaziz published five papers in well-read and respected journals. The work resulted in the following papers:
  1. Abdulaziz Alhoshany, and Khaled Nabil Salama " A Precision, Energy-Efficient, Noise-Shaping Differential SAR Capacitance-to-Digital ConverterIEEE Transactions on Instrumentation & Measurement
  2. Abdulaziz Alhoshany, Shilpa Sivashankar, Yousof Mashraei, Hesham Omran and Khaled Nabil Salama "A Biosensor-CMOS Platform and Integrated Readout  Circuit in 0.18-μm CMOS Technology for Cancer Biomarker Detection," Sensors 201717, 1942.
  3. H. Omran, Abdulaziz AlhoshanyH. Alahmadi, and K. N. Salama, A 33fJ/Step SAR Capacitance-to-Digital Converter Using a Chain of Inverter-Based AmplifiersIEEE Transactions on Circuits and Systems I, vol 64, no 2,pp 310-321, 2017 10.1109/TCSI.2016.2608905
  4. Abdulaziz Alhoshany, Hesham Omran, Khaled N. Salama, "A 45.8fJ/Step, Energy-Efficient, Differential SAR Capacitance-to-Digital Converter for Capacitive Pressure Sensing", Sensors & Actuators: A. Physical, Vol 245, Pages 10–18, 2016
  5. H. Omran, A. Alhoshany, H. Alahmadi , and K. N. Salama, “A 35fJ/Step Differential Successive Approximation Capacitive Sensor Readout Circuit with Quasi-Dynamic Operation,” Symposia on VLSI Technology and Circuits, 2016.