MEMS Based Gravimetric Sensor for the Detection of Ultra-Fine Aerosol Particles. - Malar Chellasivalingam; Laxmeesha Somappa; Adam M. Boies; Maryam Shojaei Baghini; Ashwin A. Seshia (IEEE SENSORS, 2020)

Frequency Estimation for Resonant MEMS Sensors. - Ajay Kumar Singh; Laxmeesha Somappa; Malar Chellasivalingam; Ashwin A. Seshia; Maryam Shojaei Baghini (ISCAS, 2020)

A Sub-μW Power 10 bit ΔΣ ADC for Biomedical Applications. - Laxmeesha Somappa; Maryam Shojaei Baghini (MWSCAS, 2020)

On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation. - Laxmeesha Somappa; Shuchin Aeron; Adarsh G. Menon; Sameer Sonkusale; Ashwin A. Seshia; Maryam Shojaei Baghini (IEEE Trans. Circuits Syst., 2020)

A Compact Fully Passive Loop Filter-Based Continuous Time ΔΣ Modulator for Multi-Channel Biomedical Applications. - Laxmeesha Somappa; Maryam Shojaei Baghini (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

AN-Z2V: Autonulling-Based Multimode Signal Conditioning Circuit for R-C Sensors. - Shahid Malik; Meraj Ahmad; Laxmeesha Somappa; Tarikul Islam 002; Maryam Shojaei Baghini (IEEE Trans. Instrum. Meas., 2020)

A Portable System With 0.1-ppm RMSE Resolution for 1-10 MHz Resonant MEMS Frequency Measurement. - Laxmeesha Somappa; Adarsh G. Menon; Ajay Kumar Singh; Ashwin A. Seshia; Maryam Shojaei Baghini (IEEE Trans. Instrum. Meas., 2020)

A 300-mV Auto Shutdown Comparator-Based Continuous Time Δ∑ Modulator. - Laxmeesha Somappa; Maryam Shojaei Baghini (IEEE Trans. Very Large Scale Integr. Syst., 2020)

A 400 mV 160 nW/Ch Compact Energy Efficient $ Delta Sigma$ Modulator for Multichannel Biopotential Signal Acquisition System. - Laxmeesha Somappa; Maryam Shojaei Baghini (IEEE Trans. Biomed. Circuits Syst., 2021)

A Dual-Slope-Based Capacitance-to-Time Signal Conditioning Circuit for Leaky Capacitive Sensors. - Shahid Malik; Kaushal Kishore; Laxmeesha Somappa; Sandip Lashkare; Tarikul Islam 002; Shaik Ali Akbar; Maryam Shojaei Baghini (IEEE Trans. Instrum. Meas., 2021)

A 16-Channel 60µW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation. - Uisub Shin; Cong Ding 004; Laxmeesha Somappa; Virginia Woods; Alik S. Widge; Mahsa Shoaran (CICC, 2022)

An all-MOSFET 69 ppm/°C Wide Range Programmable Current Reference with PV Insensitive Temperature Compensation. - Vidushi Gaur; Surya Varchasvi Devaraj; Laxmeesha Somappa; Maryam Shojaei Baghini (ICECS 2022, 2022)

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. - Uisub Shin; Laxmeesha Somappa; Cong Ding 004; Yashwanth Vyza; Bingzhao Zhu; Alix Trouillet; Stéphanie P. Lacour; Mahsa Shoaran (ISSCC, 2022)

Continuous-Time Hybrid ΔΣ Modulators for Sub-μW Power Multichannel Biomedical Applications. - Laxmeesha Somappa; Maryam Shojaei Baghini (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Low Precision Floating Point Spectral Feature Extraction Engine for Closed-Loop Neuromodulation. - Sagar Mahajan; Poulami Mandal; Laxmeesha Somappa (APCCAS, 2023)

An 8-Channel TDM Spectral Feature Extraction for Neuromodulation SoC. - K. Akhilesh Rao; Laxmeesha Somappa (APCCAS, 2023)

Implementation of FFT Using Low-Precision Floating Point for Rapid High Precision MEMS Readouts. - Hitesh Sahu; Emon Sarkar; Laxmeesha Somappa (APCCAS, 2023)

Efficient CORDIC Architectures for FFT Based All Digital Resonator Frequency Estimation. - Pushkar Sathe; Ajay Verma; Laxmeesha Somappa (APCCAS, 2023)

A Compressed Sensing-based Resolution Reconfigurable Multi-Channel Sensor Node. - Laxmeesha Somappa; Shahid Malik; Shuchin Aeron; Sameer Sonkusale; Maryam Shojaei Baghini (SENSORS, 2023)

Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. - Abhishek Kadam; Anmol Biswas; Vivek Saraswat; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (IJCNN, 2023)

ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis. - Shreyas Deshmukh; Vivek Saraswat; Venkatesh Gopinath; Rajesh Nair; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2023)

On the Implementation of Data Security for Neurostimulation Devices. - Emon Sarkar; Hitesh Sahu; Khalid Shaikh 001; Laxmeesha Somappa (ISCAS, 2023)

Mismatch and Offset-Voltage Compensation Technique for Current Excitation Based Resistive Sensors Interface. - Mehreeq Mushtaq; Mohamad Idris Wani; Sadan Saquib Khan; Meraj Ahmad; Laxmeesha Somappa; Maryam Shojaei Baghini; Hadi Heidari; Shahid Malik (NEWCAS, 2023)

An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System. - Sadan Saquib Khan; Sumit Kumar; Benish Jan; Laxmeesha Somappa; Shahid Malik (CoRR, 2023)

Design Analysis and Experimental Validation of Relaxation Oscillator-Based Circuit for R-C Sensors. - Mohamad Idris Wani; Sadan Saquib Khan; Benish Jan; Meraj Ahmad; Maryam Shojaei Baghini; Laxmeesha Somappa; Shahid Malik (CoRR, 2023)

Enhanced regularization for on-chip training using analog and temporary memory weights. - Raghav Singhal; Vivek Saraswat; Shreyas Deshmukh; Sreenivas Subramoney; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (Neural Networks, 2023)

A Compact and Ultra-Low-Power Low-Pass Filter Based on Band-to-Band Tunneling Effect. - Abhishek Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Resistive Processing Unit-based On-chip ANN Training with Digital Memory. - Shreyas Deshmukh; Shubham Patil; Anmol Biswas; Vivek Saraswat; Abhishek Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (AICAS, 2024)

A 16-Channel GRU based On-Chip Seizure Classifier for Closed Loop Neuromodulation. - Lakshmi Iyer; Laxmeesha Somappa (AICAS, 2024)

Performance Evaluation of Chopping and Auto-Zeroing based Time-Division Multiplexed High-Density Analog Front-End for Neural Recording. - Arpit Bal; Aayush Shrivastava; Laxmeesha Somappa (BioCAS, 2024)

A Cryptographic Security Engine With Sequence Tracker for Implantable Neural Stimulation Devices. - Aksh Garg; Tejas Amritkar; Saravanan Vijayakumaran; Laxmeesha Somappa (BioCAS, 2024)

On-chip Data Compression Techniques for High-Density Implantable Neural Recording. - Shantanu Singh Baliyan; Anshul Thakur; Laxmeesha Somappa (ISCAS, 2024)

A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling. - Abhishek A. Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2024)

A Compact 140nW/input Winner-Take-All Circuit for Spiking Neural Networks. - Gaurav R; Abhishek A. Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2024)

A sub-100 nW Power, Compact CTDSM with a Band-To-Band Tunnelling Loop Filter. - Atharva Raut; Abhishek A. Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2024)

All-Digital High-Resolution Frequency Measurement SoC for Rapid MEMS Readouts. - Hitesh Kumar Sahu; Emon Sarkar; Pushkar Sathe; Laxmeesha Somappa (ISCAS, 2024)

Hardware Implementation of a 16 Channel 0.16 μJ/class Neural Tree for on-chip Seizure Detection. - Anal Prakash Sharma; Laxmeesha Somappa (ISCAS, 2024)

On the ESD Protection for 10V-Compliant Neural Stimulator in 65nm CMOS Technology. - Naef Ahmad; Sandip Lashkare; Laxmeesha Somappa (ISCAS, 2025)

Calibration-Enhanced 16-Channel On-Chip Seizure Classifier using Gated Recurrent Network. - Lakshmi Iyer; Arpit Bal; Laxmeesha Somappa (ISCAS, 2025)

Band to Band Tunneling-Based Low Power and Low Area Tunable Spike Delay Element. - Abhishek A. Kadam; Shreyas Deshmukh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2025)

A Neuromodulation-based Spiking Neural Network using ReRAM Array. - Nirmal Shah; Jayatika Sakhuja; Udayan Ganguly; Sandip Lashkare; Laxmeesha Somappa (ISCAS, 2025)

A Hardware-Software Co-Design Platform to Evaluate SNN Workloads for ReRAM-based IMC. - Nirmal Shah; Jayatika Sakhuja; Udayan Ganguly; Sandip Lashkare; Laxmeesha Somappa (ISCAS, 2025)

A 0.93 nW/node Ultra-Low Power Oscillatory Neural Network using BTBT-based Oscillators. - Abhinav Thaduri; Abhishek A. Kadam; Laxmeesha Somappa; Udayan Ganguly; Maryam Shojaei Baghini (ISCAS, 2025)

A PLL-based capacitance-to-voltage (C-to-V) converter for permittivity measurement sensors. - Surya Varchasvi Devaraj; Reddygari Bhupal Dheeraj; Khalid Shaikh 001; Parth Makode; Monika; Laxmeesha Somappa; Maryam Shojaei Baghini (Microelectron. J., 2025)

Hardware Optimization and Implementation of a 16-Channel Neural Tree Classifier for On-Chip Closed-Loop Neuromodulation. - Anal Prakash Sharma; K. Akhilesh Rao; Laxmeesha Somappa (IEEE Trans. Biomed. Circuits Syst., 2025)