Sumukh Prashant Bhanushali

Orcid: 0000-0001-7463-2949

According to our database1, Sumukh Prashant Bhanushali authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Machine Learning Based Static and Dynamic Error Calibration in Data Converters.
Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

Enhancing Performance of SAR ADC through Supervised Machine Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Late Breaking Results: Machine Learning Based Reference Ripple Error Suppression in Successive Approximation Register Analog-to-Digital Converters.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring.
IEEE Trans. Biomed. Circuits Syst., April, 2023

A 13.2fJ/step 74.3-dB SNDR Pipelined Noise-shaping SAR+VCO ADC.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
OTA-Free 1-1 MASH ADC Using Fully Passive Noise-Shaping SAR & VCO ADC.
IEEE J. Solid State Circuits, 2022

Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A 43.6 TOPS/W AI Classifier with Sensor Fusion for Sepsis Onset Prediction.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020
Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020


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