Grading heart sounds through variational mode decomposition and higher order spectral features. - Madhusudhan Mishra; Sawon Pratiher; Sanmitra Banerjee; Anirban Mukherjee 001 (I2MTC, 2018)

Detection of Third Heart Sound Using Variational Mode Decomposition. - Madhusudhan Mishra; Sanmitra Banerjee; Dennis C. Thomas; Sagnik Dutta; Anirban Mukherjee 001 (IEEE Trans. Instrum. Meas., 2018)

RTL-to-GDS Tool Flow and Design-for-Test Solutions for Monolithic 3D ICs. - Heechun Park; Kyungwook Chang; Bon Woong Ku; Jinwoo Kim; Edward Lee; Daehyun Kim 002; Arjun Chaudhuri; Sanmitra Banerjee; Saibal Mukhopadhyay; Krishnendu Chakrabarty; Sung Kyu Lim (DAC, 2019)

Built-in Self-Test for Inter-Layer Vias in Monolithic 3D ICs. - Arjun Chaudhuri; Sanmitra Banerjee; Heechun Park; Bon Woong Ku; Krishnendu Chakrabarty; Sung Kyu Lim (ETS, 2019)

NodeRank: Observation-Point Insertion for Fault Localization in Monolithic 3D ICs∗. - Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty (ATS, 2020)

RTL-to-GDS Design Tools for Monolithic 3D ICs. - Jinwoo Kim; Gauthaman Murali; Pruek Vanna-Iampikul; Edward Lee; Daehyun Kim 004; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty; Saibal Mukhopadhyay; Sung Kyu Lim (ICCAD, 2020)

Advances in Design and Test of Monolithic 3-D ICs. - Arjun Chaudhuri; Sanmitra Banerjee; Heechun Park; Jinwoo Kim; Gauthaman Murali; Edward Lee; Daehyun Kim 002; Sung Kyu Lim; Saibal Mukhopadhyay; Krishnendu Chakrabarty (IEEE Des. Test, 2020)

Analysis of the Impact of Process Variations and Manufacturing Defects on the Performance of Carbon-Nanotube FETs. - Sanmitra Banerjee; Arjun Chaudhuri; Krishnendu Chakrabarty (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Advances in Testing and Design-for-Test Solutions for M3D Integrated Circuits. - Sanmitra Banerjee; Arjun Chaudhuri; Shao-Chun Hung; Krishnendu Chakrabarty (DATE, 2021)

Modeling Silicon-Photonic Neural Networks under Uncertainties. - Sanmitra Banerjee; Mahdi Nikdast; Krishnendu Chakrabarty (DATE, 2021)

ParaMitE: Mitigating Parasitic CNFETs in the Presence of Unetched CNTs. - Sanmitra Banerjee; Arjun Chaudhuri; Jinwoo Kim; Gauthaman Murali; Mark Nelson 005; Sung Kyu Lim; Krishnendu Chakrabarty (ICCAD, 2021)

Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties. - Sanmitra Banerjee; Mahdi Nikdast; Krishnendu Chakrabarty (OFC, 2021)

Variation-Aware Delay Fault Testing for Carbon-Nanotube FET Circuits. - Sanmitra Banerjee; Arjun Chaudhuri; August Ning; Krishnendu Chakrabarty (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. - Shao-Chun Hung; Sanmitra Banerjee; Arjun Chaudhuri; Krishnendu Chakrabarty (DATE, 2022)

LoCI: An Analysis of the Impact of Optical Loss and Crosstalk Noise in Integrated Silicon-Photonic Neural Networks. - Amin Shafiee; Sanmitra Banerjee; Krishnendu Chakrabarty; Sudeep Pasricha; Mahdi Nikdast (ACM Great Lakes Symposium on VLSI, 2022)

Observation Point Insertion Using Deep Learning. - Bonita Bhaskaran; Sanmitra Banerjee; Kaushik Narayanun; Shao-Chun Hung; Seyed Nima Mozaffari Mojaveri; Mengyun Liu; Gang Chen; Tung-Che Liang (ICCAD, 2022)

Structural Test Generation for AI Accelerators using Neural Twins. - Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty (IOLTS, 2022)

Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis. - Sanmitra Banerjee; Mahdi Nikdast; Sudeep Pasricha; Krishnendu Chakrabarty (ISVLSI, 2022)

Fault Diagnosis for Resistive Random-Access Memory and Monolithic Inter-tier Vias in Monolithic 3D Integration. - Shao-Chun Hung; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty (ITC, 2022)

CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks. - Sanmitra Banerjee; Mahdi Nikdast; Sudeep Pasricha; Krishnendu Chakrabarty (OFC, 2022)

Characterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations. - Asif Mirza; Amin Shafiee; Sanmitra Banerjee; Krishnendu Chakrabarty; Sudeep Pasricha; Mahdi Nikdast (CoRR, 2022)

Characterizing Coherent Integrated Photonic Neural Networks under Imperfections. - Sanmitra Banerjee; Mahdi Nikdast; Krishnendu Chakrabarty (CoRR, 2022)

Built-in Self-Test and Fault Localization for Inter-Layer Vias in Monolithic 3D ICs. - Arjun Chaudhuri; Sanmitra Banerjee; Jinwoo Kim; Heechun Park; Bon Woong Ku; Sukeshwar Kannan; Krishnendu Chakrabarty; Sung Kyu Lim (ACM J. Emerg. Technol. Comput. Syst., 2022)

Design Automation and Test Solutions for Monolithic 3D ICs. - Lingjun Zhu; Arjun Chaudhuri; Sanmitra Banerjee; Gauthaman Murali; Pruek Vanna-Iampikul; Krishnendu Chakrabarty; Sung Kyu Lim (ACM J. Emerg. Technol. Comput. Syst., 2022)

Scan Cell Segmentation Based on Reinforcement Learning for Power-Safe Testing of Monolithic 3D ICs. - Shao-Chun Hung; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty (ITC, 2023)

Special Session: Using Graph Neural Networks for Tier-Level Fault Localization in Monolithic 3D ICs *. - Shao-Chun Hung; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty (VTS, 2023)

Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks. - Amin Shafiee; Sanmitra Banerjee; Krishnendu Chakrabarty; Sudeep Pasricha; Mahdi Nikdast (CoRR, 2023)

Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks. - Amin Shafiee; Sanmitra Banerjee; Benoît Charbonnier; Sudeep Pasricha; Mahdi Nikdast (CoRR, 2023)

ChipNeMo: Domain-Adapted LLMs for Chip Design. - Mingjie Liu; Teodor-Dumitru Ene; Robert Kirby 001; Chris Cheng; Nathaniel Ross Pinckney; Rongjian Liang; Jonah Alben; Himyanshu Anand; Sanmitra Banerjee; Ismet Bayraktaroglu; Bonita Bhaskaran; Bryan Catanzaro; et al. (CoRR, 2023)

Built-In Self-Test of High-Density and Realistic ILV Layouts in Monolithic 3-D ICs. - Arjun Chaudhuri; Sanmitra Banerjee; Jinwoo Kim; Sung Kyu Lim; Krishnendu Chakrabarty (IEEE Trans. Very Large Scale Integr. Syst., 2023)

On the Impact of Uncertainties in Silicon-Photonic Neural Networks. - Sanmitra Banerjee; Mahdi Nikdast; Krishnendu Chakrabarty (IEEE Des. Test, 2023)

Transferable Graph Neural Network-Based Delay-Fault Localization for Monolithic 3-D ICs. - Shao-Chun Hung; Sanmitra Banerjee; Arjun Chaudhuri; Jinwoo Kim; Sung Kyu Lim; Krishnendu Chakrabarty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

LLM-AID: Leveraging Large Language Models for Rapid Domain-Specific Accelerator Development. - Farshad Firouzi; Sri Sai Rakesh Nakkilla; Chenghao Fu; Sanmitra Banerjee; Jonti Talukdar; Krishnendu Chakrabarty (ICCAD, 2024)

Safety-Guided Test Generation for Structural Faults. - Xuanyi Tan; Dhruv Thapar; Deepesh Sahoo; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty; Rubin A. Parekhji (ITC, 2024)

ML-TIME: ML-driven Timing Analysis of Integrated Circuits in the Presence of Process Variations and Aging Effects. - Xuanyi Tan; Peter Domanski; Sanmitra Banerjee; Krishnendu Chakrabarty (MLCAD, 2024)

DOCTOR: Dynamic On-Chip Remediation Against Temporally-Drifting Thermal Variations Toward Self-Corrected Photonic Tensor Accelerators. - Haotian Lu 002; Sanmitra Banerjee; Jiaqi Gu 002 (CoRR, 2024)

The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks. - Haotian Lu 002; Ziang Yin; Partho Bhoumik; Sanmitra Banerjee; Krishnendu Chakrabarty; Jiaqi Gu 002 (CoRR, 2024)

Fault Diagnosis for Resistive Random Access Memory and Monolithic Inter-Tier Vias in Monolithic 3-D Integration. - Shao-Chun Hung; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty (IEEE Trans. Very Large Scale Integr. Syst., 2024)

The Unlikely Hero: Nonidealities in Analog Photonic Neural Networks as Built-in Adversarial Defenders. - Haotian Lu 002; Ziang Yin; Partho Bhoumik; Sanmitra Banerjee; Krishnendu Chakrabarty; Jiaqi Gu 002 (ASP-DAC, 2025)

Silicon Whisperers: Improving Test Quality and Cost in the Age of Generative AI. - Sanmitra Banerjee; Jonti Talukdar; Farshad Firouzi (COINS, 2025)

LLM-Sec: Closing the Security Loop using LLMs for Hardware Design. - Jonti Talukdar; Sanmitra Banerjee; Farshad Firouzi (COINS, 2025)

Localization of Data Compromised by Hardware Attacks in Machine Learning Enabled Cyber-Physical Edge Devices. - Pravineeth Edara; Sanmitra Banerjee; Biresh Kumar Joardar (ACM Trans. Cyber Phys. Syst., 2025)