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ORCIDLaxmeesha Somappa
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2020 – today
- 2024
[c23]Shreyas Deshmukh
, Shubham Patil, Anmol Biswas, Vivek Saraswat, Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Resistive Processing Unit-based On-chip ANN Training with Digital Memory. AICAS 2024: 462-466- [c22]Lakshmi Iyer, Laxmeesha Somappa:
A 16-Channel GRU based On-Chip Seizure Classifier for Closed Loop Neuromodulation. AICAS 2024: 562-566 - [c21]Shantanu Singh Baliyan, Anshul Thakur, Laxmeesha Somappa:
On-chip Data Compression Techniques for High-Density Implantable Neural Recording. ISCAS 2024: 1-5 - [c20]Abhishek A. Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling. ISCAS 2024: 1-5 - [c19]Gaurav R, Abhishek A. Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A Compact 140nW/input Winner-Take-All Circuit for Spiking Neural Networks. ISCAS 2024: 1-5 - [c18]Atharva Raut, Abhishek A. Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A sub-100 nW Power, Compact CTDSM with a Band-To-Band Tunnelling Loop Filter. ISCAS 2024: 1-5 - [c17]Hitesh Kumar Sahu, Emon Sarkar, Pushkar Sathe, Laxmeesha Somappa:
All-Digital High-Resolution Frequency Measurement SoC for Rapid MEMS Readouts. ISCAS 2024: 1-5 - [c16]Anal Prakash Sharma, Laxmeesha Somappa:
Hardware Implementation of a 16 Channel 0.16 μJ/class Neural Tree for on-chip Seizure Detection. ISCAS 2024: 1-5 - 2023
- [j10]Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Enhanced regularization for on-chip training using analog and temporary memory weights. Neural Networks 165: 1050-1057 (2023) - [j9]Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A Compact and Ultra-Low-Power Low-Pass Filter Based on Band-to-Band Tunneling Effect. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3298-3302 (2023) - [c15]Sagar Mahajan, Poulami Mandal, Laxmeesha Somappa:
Low Precision Floating Point Spectral Feature Extraction Engine for Closed-Loop Neuromodulation. APCCAS 2023: 159-163 - [c14]Hitesh Sahu, Emon Sarkar, Laxmeesha Somappa:
Implementation of FFT Using Low-Precision Floating Point for Rapid High Precision MEMS Readouts. APCCAS 2023: 173-177 - [c13]Pushkar Sathe, Ajay Verma, Laxmeesha Somappa:
Efficient CORDIC Architectures for FFT Based All Digital Resonator Frequency Estimation. APCCAS 2023: 178-182 - [c12]K. Akhilesh Rao, Laxmeesha Somappa:
An 8-Channel TDM Spectral Feature Extraction for Neuromodulation SoC. APCCAS 2023: 217-221 - [c11]Laxmeesha Somappa, Shahid Malik, Shuchin Aeron, Sameer Sonkusale, Maryam Shojaei Baghini:
A Compressed Sensing-based Resolution Reconfigurable Multi-Channel Sensor Node. SENSORS 2023: 1-4 - [c10]Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. IJCNN 2023: 1-7 - [c9]Shreyas Deshmukh, Vivek Saraswat, Venkatesh Gopinath, Rajesh Nair, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis. ISCAS 2023: 1-5 - [c8]Emon Sarkar, Hitesh Sahu, Khalid Shaikh, Laxmeesha Somappa:
On the Implementation of Data Security for Neurostimulation Devices. ISCAS 2023: 1-5 - [c7]Mehreeq Mushtaq, Mohamad Idris Wani, Sadan Saquib Khan, Meraj Ahmad, Laxmeesha Somappa, Maryam Shojaei Baghini, Hadi Heidari, Shahid Malik:
Mismatch and Offset-Voltage Compensation Technique for Current Excitation Based Resistive Sensors Interface. NEWCAS 2023: 1-5 - [i2]Sadan Saquib Khan, Sumit Kumar, Benish Jan, Laxmeesha Somappa, Shahid Malik:
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System. CoRR abs/2307.07414 (2023) - [i1]Mohamad Idris Wani, Sadan Saquib Khan, Benish Jan, Meraj Ahmad, Maryam Shojaei Baghini, Laxmeesha Somappa, Shahid Malik:
Design Analysis and Experimental Validation of Relaxation Oscillator-Based Circuit for R-C Sensors. CoRR abs/2307.07822 (2023) - 2022
- [j8]Laxmeesha Somappa, Maryam Shojaei Baghini:
Continuous-Time Hybrid ΔΣ Modulators for Sub-μW Power Multichannel Biomedical Applications. IEEE Trans. Very Large Scale Integr. Syst. 30(4): 406-417 (2022) - [c6]Uisub Shin, Cong Ding, Laxmeesha Somappa, Virginia Woods, Alik S. Widge, Mahsa Shoaran:
A 16-Channel 60µW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation. CICC 2022: 1-2 - [c5]Vidushi Gaur, Surya Varchasvi Devaraj, Laxmeesha Somappa, Maryam Shojaei Baghini:
An all-MOSFET 69 ppm/°C Wide Range Programmable Current Reference with PV Insensitive Temperature Compensation. ICECS 2022 2022: 1-4 - [c4]Uisub Shin, Laxmeesha Somappa, Cong Ding, Yashwanth Vyza, Bingzhao Zhu, Alix Trouillet, Stéphanie P. Lacour, Mahsa Shoaran:
A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51 µW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End. ISSCC 2022: 338-340 - 2021
- [j7]Laxmeesha Somappa, Maryam Shojaei Baghini:
A 400 mV 160 nW/Ch Compact Energy Efficient $\Delta \Sigma$ Modulator for Multichannel Biopotential Signal Acquisition System. IEEE Trans. Biomed. Circuits Syst. 15(4): 765-776 (2021) - [j6]Shahid Malik, Kaushal Kishore, Laxmeesha Somappa, Sandip Lashkare, Tarikul Islam, Shaik Ali Akbar, Maryam Shojaei Baghini:
A Dual-Slope-Based Capacitance-to-Time Signal Conditioning Circuit for Leaky Capacitive Sensors. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - 2020
- [j5]Laxmeesha Somappa, Maryam Shojaei Baghini:
A Compact Fully Passive Loop Filter-Based Continuous Time ΔΣ Modulator for Multi-Channel Biomedical Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(2): 590-599 (2020) - [j4]Laxmeesha Somappa, Shuchin Aeron, Adarsh G. Menon, Sameer Sonkusale, Ashwin A. Seshia, Maryam Shojaei Baghini:
On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation. IEEE Trans. Circuits Syst. 67-I(12): 4556-4565 (2020) - [j3]Laxmeesha Somappa, Adarsh G. Menon, Ajay Kumar Singh, Ashwin A. Seshia, Maryam Shojaei Baghini:
A Portable System With 0.1-ppm RMSE Resolution for 1-10 MHz Resonant MEMS Frequency Measurement. IEEE Trans. Instrum. Meas. 69(9): 7146-7157 (2020) - [j2]Shahid Malik, Meraj Ahmad, Laxmeesha Somappa, Tarikul Islam, Maryam Shojaei Baghini:
AN-Z2V: Autonulling-Based Multimode Signal Conditioning Circuit for R-C Sensors. IEEE Trans. Instrum. Meas. 69(11): 8763-8772 (2020) - [j1]Laxmeesha Somappa, Maryam Shojaei Baghini:
A 300-mV Auto Shutdown Comparator-Based Continuous Time Δ∑ Modulator. IEEE Trans. Very Large Scale Integr. Syst. 28(8): 1920-1924 (2020) - [c3]Malar Chellasivalingam, Laxmeesha Somappa, Adam M. Boies, Maryam Shojaei Baghini, Ashwin A. Seshia:
MEMS Based Gravimetric Sensor for the Detection of Ultra-Fine Aerosol Particles. IEEE SENSORS 2020: 1-4 - [c2]Ajay Kumar Singh, Laxmeesha Somappa, Malar Chellasivalingam, Ashwin A. Seshia, Maryam Shojaei Baghini:
Frequency Estimation for Resonant MEMS Sensors. ISCAS 2020: 1-5 - [c1]Laxmeesha Somappa, Maryam Shojaei Baghini:
A Sub-μW Power 10 bit ΔΣ ADC for Biomedical Applications. MWSCAS 2020: 679-682
Coauthor Index
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