Krishnendu Chakrabarty - researchr alias

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Viewing Publication 1 - 100 from 907

2025

DEAR: Dependable 3D Architecture for Robust DNN TrainingAshish Reddy Bommana, Farshad Firouzi, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty. date 2025: 1-7 [doi]

SPICED+: Syntactical Bug Pattern Identification and Correction of Trojans in A/MS Circuits Using LLM-Enhanced DetectionJayeeta Chaudhuri, Dhruv Thapar, Arjun Chaudhuri, Farshad Firouzi, Krishnendu Chakrabarty. tvlsi, 33(4):1118-1131, April 2025. [doi]

Enhancing Analog IC Security Using Randomized Obfuscation CircuitsJayeeta Chaudhuri, Mayukh Bhattacharya, Krishnendu Chakrabarty. tcad, 44(3):867-881, March 2025. [doi]

The Unlikely Hero: Nonidealities in Analog Photonic Neural Networks as Built-in Adversarial DefendersHaotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu 0002. aspdac 2025: 1295-1301 [doi]

Discretized-Isolation Forest: Memory- and Compute-Efficient Unsupervised Anomaly Detection for Resource-Constrained Internet of Things Edge DevicesEduardo Ortega, Fei Su, Rita Chattopadhyay, Krishnendu Chakrabarty. iotj, 12(2):1699-1717, January 2025. [doi]

Runtime Security Analysis of Monolithic 3D Embedded DRAM with Oxide-Channel TransistorEduardo Ortega, Jungyoun Kwak, Shimeng Yu, Krishnendu Chakrabarty. date 2025: 1-7 [doi]

TaintLock: Hardware IP Protection Against Oracle-Guided and Oracle-Reconstruction AttacksJonti Talukdar, Arjun Chaudhuri, Eduardo Ortega, Krishnendu Chakrabarty. tcad, 44(1):357-370, January 2025. [doi]

Detection of Voltage Droop-Induced Timing Fault Attacks Due to Hardware TrojansJonti Talukdar, Akshay Vyas, Krishnendu Chakrabarty. tcad, 44(1):280-293, January 2025. [doi]

On the Impact of Warpage on BEOL Geometry and Path Delays in Fan-out Wafer-Level PackagingDhruv Thapar, Arjun Chaudhuri, Christopher Bailey, Ravi Mahajan, Krishnendu Chakrabarty. date 2025: 1-2 [doi]

2024

Physically Unclonable Fingerprints for AuthenticationNavajit Singh Baban, Jiarui Zhou, Sarani Bhattacharya, Urbi Chatterjee, Sukanta Bhattacharjee, Sanjairaj Vijayavenkataraman, Yong-Ak Song, Debdeep Mukhopadhyay, Krishnendu Chakrabarty, Ramesh Karri. acns 2024: 235-239 [doi]

Carbon Quantum Dot Fluorescent Stickers for Biochip AuthenticationNavajit Singh Baban, Mohammed Abdelhameed, Mahmoud Elbeh, Khalil Ramadi, Yong-Ak Song, Sukanta Bhattacharjee, Ramesh Karri, Krishnendu Chakrabarty. ats 2024: 1-6 [doi]

Attacks and Countermeasures for Digital Microfluidic Biochips - Extended AbstractNavajit Singh Baban, Prithwish Basu Roy, Pauline John, Azhar Zam, Sukanta Bhattacharjee, Yong-Ak Song, Ramesh Karri, Krishnendu Chakrabarty. space 2025: 1-5 [doi]

*Ashish Reddy Bommana, Farshad Firouzi, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty. itc 2024: 177-186 [doi]

Detection of Stealthy Bitstreams in Cloud FPGAs using Graph Convolutional NetworksJayeeta Chaudhuri, Krishnendu Chakrabarty. ets 2024: 1-6 [doi]

DAWN: Efficient Trojan Detection in Analog Circuits Using Circuit Watermarking and Neural TwinsJayeeta Chaudhuri, Mayukh Bhattacharya, Krishnendu Chakrabarty. tcad, 43(10):2930-2943, October 2024. [doi]

Hacking the Fabric: Targeting Partial Reconfiguration for Fault Injection in FPGA FabricsJayeeta Chaudhuri, Hassan Nassar, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty. ats 2024: 1-6 [doi]

Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial AttacksChing-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty. tcad, 43(8):2411-2425, August 2024. [doi]

Test-Fleet Optimization Using Machine LearningAniruddha Datta, Bhanu Vikas Yaganti, Andrew Dove, Arik Peltz, Krishnendu Chakrabarty. ets 2024: 1-10 [doi]

LLM-AID: Leveraging Large Language Models for Rapid Domain-Specific Accelerator DevelopmentFarshad Firouzi, Sri Sai Rakesh Nakkilla, Chenghao Fu, Sanmitra Banerjee, Jonti Talukdar, Krishnendu Chakrabarty. iccad 2024: [doi]

PathDriver-Wash: A Path-Driven Wash Optimization Method for Continuous-Flow Lab-on-a-Chip SystemsXing Huang, Jiaxuan Wang, Zhiwen Yu 0001, Bin Guo, Tsung-Yi Ho, Ulf Schlichtmann, Krishnendu Chakrabarty. date 2024: 1-6 [doi]

Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement LearningXing Huang, Huayang Cai, Wenzhong Guo, Genggeng Liu, Tsung-Yi Ho, Krishnendu Chakrabarty, Ulf Schlichtmann. tcad, 43(1):277-290, January 2024. [doi]

Testing and Fault Diagnosis for Multi-level Resistive Random-Access Memory in Monolithic 3D IntegrationShao-Chun Hung, Partho Bhoumik, Krishnendu Chakrabarty. vts 2024: 1-7 [doi]

Fault Diagnosis for Resistive Random Access Memory and Monolithic Inter-Tier Vias in Monolithic 3-D IntegrationShao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty. tvlsi, 32(7):1336-1349, July 2024. [doi]

Low-Overhead Clustered Federated Learning for Personalized Stress MonitoringShiyi Jiang, Farshad Firouzi, Krishnendu Chakrabarty. iotj, 11(3):4335-4347, February 2024. [doi]

KG-Infused LLM for Virtual Health Assistant: Accelerated Inference and Enhanced PerformanceSiva Kumar Katta, Aritra Ray, Farshad Firouzi, Krishnendu Chakrabarty. icmla 2024: 685-691 [doi]

Dynamic Adaptation Using Deep Reinforcement Learning for Digital Microfluidic BiochipsTung-Che Liang, Yi-Chen Chang, Zhanwei Zhong, Yaas Bigdeli, Tsung-Yi Ho, Krishnendu Chakrabarty, Richard B. Fair. todaes, 29(2), March 2024. [doi]

Neural Architecture Search for Blood Glucose Prediction in Type-1 DiabeticsAnthony Liardo, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty. bsn 2024: 1-4 [doi]

Effective Runtime Fault Detection for DNN AcceleratorsWei-Kai Liu, Jonti Talukdar, Benjamin Tan 0001, Krishnendu Chakrabarty. ats 2024: 1-6 [doi]

Theoretical Patchability Quantification for IP-Level Hardware Patching DesignsWei-Kai Liu, Benjamin Tan 0001, Jason M. Fung, Krishnendu Chakrabarty. aspdac 2024: 951-956 [doi]

Neuron grouping and mapping methods for 2D-mesh NoC-based DNN acceleratorsFurkan Nacar, Alperen Cakin, Selma Dilek, Suleyman Tosun, Krishnendu Chakrabarty. jpdc, 193:104949, 2024. [doi]

HuNT: Exploiting Heterogeneous PIM Devices to Design a 3-D Manycore Architecture for DNN TrainingChukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande. tcad, 43(11):3300-3311, November 2024. [doi]

Data Pruning-enabled High Performance and Reliable Graph Neural Network Training on ReRAM-based Processing-in-Memory AcceleratorsChukwufumnanya Ogbogu, Biresh Kumar Joardar, Krishnendu Chakrabarty, Jana Doppa, Partha Pratim Pande. todaes, 29(5):1-29, 2024. [doi]

E-SCOUT: Efficient-Spatial Clustering-based Outlier Detection through TelemetryEduardo Ortega, Jonti Talukdar, Woohyun Paik, Fei Su, Rita Chattopadhyay, Krishnendu Chakrabarty. itc 2024: 243-252 [doi]

Rowhammer Vulnerability of DRAMs in 3-D IntegrationEduardo Ortega, Jonti Talukdar, Woohyun Paik, Tyler K. Bletsch, Krishnendu Chakrabarty. tvlsi, 32(5):967-971, May 2024. [doi]

Root-Cause Analysis with Semi-Supervised Co-Training for Integrated SystemsRenjian Pan, Xin Li 0001, Krishnendu Chakrabarty. todaes, 29(3), May 2024. [doi]

Preserving Accuracy While Stealing Watermarked Deep Neural NetworksAritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty. icmla 2024: 1466-1473 [doi]

ALT-Lock: Logic and Timing Ambiguity-Based IP Obfuscation Against Reverse EngineeringJonti Talukdar, Woohyun Paik, Eduardo Ortega, Krishnendu Chakrabarty. tvlsi, 32(8):1535-1548, August 2024. [doi]

Safety-Guided Test Generation for Structural FaultsXuanyi Tan, Dhruv Thapar, Deepesh Sahoo, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty, Rubin A. Parekhji. itc 2024: 233-242 [doi]

ML-TIME: ML-driven Timing Analysis of Integrated Circuits in the Presence of Process Variations and Aging EffectsXuanyi Tan, Peter Domanski, Sanmitra Banerjee, Krishnendu Chakrabarty. mlcad 2024: [doi]

Defect Analysis for FeFETs using a Compact ModelDhruv Thapar, Arjun Chaudhuri, Kai Ni, Krishnendu Chakrabarty. itc 2024: 96-100 [doi]

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN AcceleratorsXueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li 0001, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li 0001. tcad, 43(12):4558-4571, December 2024. [doi]

2023

Bio-FP: Biochip Fingerprints for AuthenticationNavajit Singh Baban, Sohini Saha, Sofija Jancheska, Jiarui Zhou, Sanjairaj Vijayavenkataraman, Sukanta Bhattacharjee, Yong-Ak Song, Krishnendu Chakrabarty, Ramesh Karri. biocas 2023: 1-5 [doi]

Biochip-PUF: Physically Unclonable Function for Microfluidic BiochipsNavajit Singh Baban, Ajymurat Orozaliev, Yong-Ak Song, Urbi Chatterjee, Sankalp Bose, Sukanta Bhattacharjee, Ramesh Karri, Krishnendu Chakrabarty. itc 2023: 166-175 [doi]

On the Impact of Uncertainties in Silicon-Photonic Neural NetworksSanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty. dt, 40(2):82-89, April 2023. [doi]

∗Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Krishnendu Chakrabarty. vts 2023: 1-6 [doi]

Detection and Classification of Malicious Bitstreams for FPGAs in Cloud ComputingJayeeta Chaudhuri, Krishnendu Chakrabarty. aspdac 2023: 91-97 [doi]

*Jayeeta Chaudhuri, Krishnendu Chakrabarty. ets 2023: 1-4 [doi]

Diagnosis of Malicious Bitstreams in Cloud Computing FPGAsJayeeta Chaudhuri, Krishnendu Chakrabarty. tcad, 42(11):3651-3664, November 2023. [doi]

Built-In Self-Test of High-Density and Realistic ILV Layouts in Monolithic 3-D ICsArjun Chaudhuri, Sanmitra Banerjee, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty. tvlsi, 31(3):296-309, March 2023. [doi]

Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write ErrorsChing-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty. ets 2023: 1-4 [doi]

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement LearningPeter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger. icdh 2023: 339-347 [doi]

Deep Reinforcement Learning-Based Approach for Efficient and Reliable Droplet Routing on MEDA BiochipsMahmoud Elfar, Yi-Chen Chang, Harrison Hao-Yu Ku, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic. tcad, 42(4):1212-1222, April 2023. [doi]

Learning Malicious Circuits in FPGA BitstreamsRana Elnaggar, Jayeeta Chaudhuri, Ramesh Karri, Krishnendu Chakrabarty. tcad, 42(3):726-739, March 2023. [doi]

Welcome Message from the ChairsFarshad Firouzi, Krishnendu Chakrabarty, Naghmeh Karimi, Bahareh J. Farahani, Diana Goehringer, Aurora Gil de Castro, Marc Reichenbach, Kun-Chih Chen. coins 2023: 1 [doi]

Fusion of IoT, AI, Edge-Fog-Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and MedicineFarshad Firouzi, Shiyi Jiang, Krishnendu Chakrabarty, Bahareh J. Farahani, Mahmoud Daneshmand, JaeSeung Song, Kunal Mankodiya. iotj, 10(5):3686-3705, March 1 2023. [doi]

Scan Cell Segmentation Based on Reinforcement Learning for Power-Safe Testing of Monolithic 3D ICsShao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty. itc 2023: 216-225 [doi]

*Shao-Chun Hung, Arjun Chaudhuri, Krishnendu Chakrabarty. ets 2023: 1-6 [doi]

*Shao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty. vts 2023: 1-4 [doi]

Transferable Graph Neural Network-Based Delay-Fault Localization for Monolithic 3-D ICsShao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty. tcad, 42(11):4296-4309, November 2023. [doi]

Attacking ReRAM-based Architectures using Repeated WritesBiresh Kumar Joardar, Krishnendu Chakrabarty. date 2023: 1-6 [doi]

ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNsBiresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande. tetc, 11(2):303-317, April - June 2023. [doi]

Machine Learning-Based Rowhammer MitigationBiresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty. tcad, 42(5):1393-1405, May 2023. [doi]

Hardware-Supported Patching of Security Bugs in Hardware IP BlocksWei-Kai Liu, Benjamin Tan 0001, Jason M. Fung, Ramesh Karri, Krishnendu Chakrabarty. tcad, 42(1):54-67, 2023. [doi]

Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADCChukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande. islped 2023: 1-6 [doi]

Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model PruningChukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande. tcad, 42(8):2703-2716, 2023. [doi]

Simply-Track-and-Refresh: Efficient and Scalable Rowhammer MitigationEduardo Ortega, Tyler K. Bletsch, Biresh Kumar Joardar, Jonti Talukdar, Woohyun Paik, Krishnendu Chakrabarty. itc 2023: 340-349 [doi]

Unsupervised Two-Stage Root-Cause Analysis With Transfer Learning for Integrated SystemsRenjian Pan, Xin Li 0001, Krishnendu Chakrabarty. tcad, 42(2):497-508, February 2023. [doi]

Privacy-preserving Job Scheduler for GPU SharingAritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, Krishnendu Chakrabarty. ccgrid 2023: 337-339 [doi]

Securing Heterogeneous 2.5D ICs Against IP Theft through Dynamic Interposer ObfuscationJonti Talukdar, Arjun Chaudhuri, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty. date 2023: 1-2 [doi]

Analysis and Characterization of Defects in FeFETsDhruv Thapar, Simon Thomann, Arjun Chaudhuri, Hussam Amrouch, Krishnendu Chakrabarty. itc 2023: 256-265 [doi]

Dynamic Task Remapping for Reliable CNN Training on ReRAM CrossbarsChung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty. date 2023: 1-6 [doi]

ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training SystemsXiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li 0001. tcad, 42(7):2187-2199, July 2023. [doi]

Enhanced Built-In Self-Diagnosis and Self-Repair Techniques for Daisy-Chain Design in MEDA Digital Microfluidic BiochipsLing Zhang, Zipeng Li, Xing Huang, Krishnendu Chakrabarty. tcad, 42(10):3236-3249, October 2023. [doi]

Stool Image Analysis for Digital Health Monitoring By Smart ToiletsJin Zhou, Jackson McNabb, Nick DeCapite, Jose R. Ruiz, Deborah A. Fisher, Sonia Grego, Krishnendu Chakrabarty. iotj, 10(5):3720-3734, March 1 2023. [doi]

2022

Efficient Regulation of Synthetic Biocircuits Using Droplet-Aliquot Operations on MEDA BiochipsMohamed Ibrahim 0002, Zhanwei Zhong, Bhargab B. Bhattacharya, Krishnendu Chakrabarty. tcad, 41(8):2490-2503, 2022. [doi]

EDAML 2022 Invited Speaker 4: Fault Criticality Assessment in AI AcceleratorsKrishnendu Chakrabarty. ipps 2022: 1185 [doi]

Special Session: Fault Criticality Assessment in AI AcceleratorsArjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty. vts 2021: 1-4 [doi]

Probabilistic Fault Grading for AI Accelerators using Neural TwinsArjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty. isvlsi 2022: 333-338 [doi]

Detection of Malicious FPGA Bitstreams using CNN-Based LearningJayeeta Chaudhuri, Krishnendu Chakrabarty. ets 2022: 1-2 [doi]

Machine Learning for Testing Machine-Learning Hardware: A Virtuous CycleArjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty. iccad 2022: [doi]

Structural Test Generation for AI Accelerators using Neural TwinsArjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty. iolts 2022: 1-6 [doi]

Functional Criticality Analysis of Structural Faults in AI AcceleratorsArjun Chaudhuri, Jonti Talukdar, Fei Su, Krishnendu Chakrabarty. tcad, 41(12):5657-5670, 2022. [doi]

Built-in Self-Test and Fault Localization for Inter-Layer Vias in Monolithic 3D ICsArjun Chaudhuri, Sanmitra Banerjee, Jinwoo Kim, Heechun Park, Bon Woong Ku, Sukeshwar Kannan, Krishnendu Chakrabarty, Sung Kyu Lim. jetc, 18(1), 2022. [doi]

C-Testing and Efficient Fault Localization for AI AcceleratorsArjun Chaudhuri, Chunsheng Liu, Xiaoxin Fan, Krishnendu Chakrabarty. tcad, 41(7):2348-2361, 2022. [doi]

Efficient Identification of Critical Faults in Memristor-Based Inferencing AcceleratorsChing-Yuan Chen, Krishnendu Chakrabarty. tcad, 41(7):2301-2314, 2022. [doi]

Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement LearningMahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic. date 2022: 640-645 [doi]

Formal Synthesis of Adaptive Droplet Routing for MEDA BiochipsMahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic. tcad, 41(8):2504-2517, 2022. [doi]

Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICsShao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty. date 2022: 1311-1316 [doi]

Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICsShao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty. date 2022: 448-453 [doi]

Fault Diagnosis for Resistive Random-Access Memory and Monolithic Inter-tier Vias in Monolithic 3D IntegrationShao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty. itc 2022: 118-127 [doi]

A Resilient and Hierarchical IoT-Based Solution for Stress Monitoring in Everyday SettingsShiyi Jiang, Farshad Firouzi, Krishnendu Chakrabarty, Eric B. Elbogen. iotj, 9(12):10224-10243, 2022. [doi]

Mixing Models as Integer Factorization: A Key to Sample Preparation With Microfluidic BiochipsDebraj Kundu, Sudip Roy 0001, Sukanta Bhattacharjee, Sohini Saha, Krishnendu Chakrabarty, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya. tcad, 41(3):558-570, 2022. [doi]

Online Fault Detection in ReRAM-Based Computing Systems for InferencingMengyun Liu, Krishnendu Chakrabarty. tvlsi, 30(4):392-405, 2022. [doi]

Knowledge Transfer in Board-Level Functional Fault Diagnosis Enabled by Domain AdaptationMengyun Liu, Xin Li 0001, Krishnendu Chakrabarty, Xinli Gu. tcad, 41(3):762-775, 2022. [doi]

Semi-Supervised Root-Cause Analysis with Co-Training for Integrated SystemsRenjian Pan, Xin Li 0001, Krishnendu Chakrabarty. vts 2021: 1-7 [doi]

Unsupervised Two-Stage Root-Cause Analysis for Integrated SystemsRenjian Pan, Zhaobo Zhang, Xin Li 0001, Krishnendu Chakrabarty, Xinli Gu. tcad, 41(7):2170-2184, 2022. [doi]

Deep Neural Network Piration without Accuracy LossAritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty. icmla 2022: 1032-1038 [doi]

Automatic Structural Test Generation for Analog Circuits using Neural TwinsJonti Talukdar, Arjun Chaudhuri, Mayukh Bhattacharya, Krishnendu Chakrabarty. itc 2022: 145-154 [doi]

*Jonti Talukdar, Arjun Chaudhuri, Krishnendu Chakrabarty. ets 2022: 1-6 [doi]

Design Automation and Test Solutions for Monolithic 3D ICsLingjun Zhu, Arjun Chaudhuri, Sanmitra Banerjee, Gauthaman Murali, Pruek Vanna-Iampikul, Krishnendu Chakrabarty, Sung Kyu Lim. jetc, 18(1), 2022. [doi]

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