Komail M. H. Badami
Affiliations:- KU Leuven, Belgium
According to our database1,
Komail M. H. Badami
authored at least 18 papers
between 2012 and 2021.
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Bibliography
2021
Comparison of Capacitive DAC Architectures for Power and Area Efficient SAR ADC Designs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Single-Battery Cooperative Sensors For Multi-Lead Long Term Ambulatory ECG Measurement.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
2020
Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification.
IEEE J. Solid State Circuits, 2020
2019
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019
A 20 Channel EMG SoC with an Integrated 32b RISC Core for Real-Time Wireless Prosthetic Control.
Proceedings of the 45th IEEE European Solid State Circuits Conference, 2019
An Untrimmed PVT-Robust 12-bit 1-MS/s SAR ADC IP in 55nm Deeply Depleted Channel CMOS Process.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019
2018
IEEE J. Solid State Circuits, 2018
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
A 0.6V 54DB SNR Analog Frontend with 0.18% THD for Low Power Sensory Applications in 65NM CMOS.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018
Mixed-signal programmable non-linear interface for resource-efficient multi-sensor analytics.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018
2017
Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017
2016
A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection.
IEEE J. Solid State Circuits, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning.
Neurocomputing, 2015
24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015
2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2012
Quasi-Static Compact Model for Coupling Between Aligned Contacts on Finite Substrates With Insulating or Conducting Backplanes.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012