Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation. - Suvadeep Banerjee; Ankush Chakrabarty; Sayan Maity; Amitava Chatterjee (Appl. Soft Comput., 2011)

Enhanced Resolution Time-Domain Reflectometry for High Speed Channels: Characterizing Spatial Discontinuities with Non-ideal Stimulus. - Suvadeep Banerjee; Hyun Woo Choi; David C. Keezer; Abhijit Chatterjee (Asian Test Symposium, 2013)

Real-time checking of linear control systems using analog checksums. - Suvadeep Banerjee; Aritra Banerjee; Abhijit Chatterjee; Jacob A. Abraham (IOLTS, 2013)

Error Resilient Real-Time State Variable Systems for Signal Processing and Control. - Suvadeep Banerjee; Álvaro Gómez-Pau; Abhijit Chatterjee; Jacob A. Abraham (ATS, 2014)

Design of low cost fault tolerant analog circuits using real-time learned error compensation. - Suvadeep Banerjee; Álvaro Gómez-Pau; Abhijit Chatterjee (ETS, 2014)

Real-time transient error and induced noise cancellation in linear analog filters using learning-assisted adaptive analog checksums. - Álvaro Gómez-Pau; Suvadeep Banerjee; Abhijit Chatterjee (IOLTS, 2014)

Concurrent error detection in nonlinear digital filters using checksum linearization and residue prediction. - Suvadeep Banerjee; Md Imran Momtaz; Abhijit Chatterjee (IOLTS, 2015)

A Noise Aware CML Latch Modelling for Large System Simulation. - Debesh Bhatta; Suvadeep Banerjee; Abhijit Chatterjee (VLSID, 2015)

Concurrent error detection and tolerance in Kalman filters using encoded state and statistical covariance checks. - Sujay Pandey; Suvadeep Banerjee; Abhijit Chatterjee (IOLTS, 2016)

Efficient cross-layer concurrent error detection in nonlinear control systems using mapped predictive check states. - Suvadeep Banerjee; Abhijit Chatterjee; Jacob A. Abraham (ITC, 2016)

Checksum based error detection in linearized representations of non linear control systems. - Suvadeep Banerjee; Abhijit Chatterjee; Jacob A. Abraham (LATS, 2016)

Infant mortality tests for analog and mixed-signal circuits. - Suvadeep Banerjee; Suriyaprakash Natarajan (VTS, 2016)

Real-time DC motor error detection and control compensation using linear checksums. - Md Imran Momtaz; Suvadeep Banerjee; Abhijit Chatterjee (VTS, 2016)

Real-time self-learning for control law adaptation in nonlinear systems using encoded check states. - Suvadeep Banerjee; Abhijit Chatterjee (ETS, 2017)

Design of efficient error resilience in signal processing and control systems: From algorithms to circuits. - Jacob A. Abraham; Suvadeep Banerjee; Abhijit Chatterjee (IOLTS, 2017)

Probabilistic error detection and correction in switched capacitor circuits using checksum codes. - Md Imran Momtaz; Suvadeep Banerjee; Abhijit Chatterjee (IOLTS, 2017)

On-line diagnosis and compensation for parametric failures in linear state variable circuits and systems using time-domain checksum observers. - Md Imran Momtaz; Suvadeep Banerjee; Abhijit Chatterjee (VTS, 2017)

ReiNN: Efficient error resilience in artificial neural networks using encoded consistency checks. - Sujay Pandey; Suvadeep Banerjee; Abhijit Chatterjee (ETS, 2018)

Cross-Layer Control Adaptation for Autonomous System Resilience. - Md Imran Momtaz; Suvadeep Banerjee; Sujay Pandey; Jacob A. Abraham; Abhijit Chatterjee (IOLTS, 2018)

Error Resilient Neuromorphic Networks Using Checker Neurons. - Sujay Pandey; Suvadeep Banerjee; Abhijit Chatterjee (IOLTS, 2018)

State-space encoding driven error resilience in control systems and circuits. - Suvadeep Banerjee (2018)

Mixed Signal Design Validation Using Reinforcement Learning Guided Stimulus Generation for Behavior Discovery. - Barry John Muldrey; Suvadeep Banerjee; Abhijit Chatterjee (VTS, 2019)

ALERA: Accelerated Reinforcement Learning Driven Adaptation to Electro-Mechanical Degradation in Nonlinear Control Systems Using Encoded State Space Error Signatures. - Suvadeep Banerjee; Abhijit Chatterjee (ACM Trans. Intell. Syst. Technol., 2019)

Online Fast Detection and Diagnosis of Power Grid Security Attacks Using State Checksums. - Suvadeep Banerjee; Abhijit Chatterjee (IOLTS, 2021)

HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. - Ayush Arunachalam; Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Suriyaprakash Natarajan; Kanad Basu (ISQED, 2021)

RHNAS: Realizable Hardware and Neural Architecture Search. - Yash Akhauri; Adithya Niranjan; J. Pablo Muñoz; Suvadeep Banerjee; Abhijit Davare; Pasquale Cocchini; Anton A. Sorokin; Ravi Iyer 001; Nilesh Jain (CoRR, 2021)

A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration. - Suvadeep Banerjee; Steve Burns 002; Pasquale Cocchini; Abhijit Davare; Shweta Jain 005; Desmond Kirkpatrick; Anton Sorokin; Jin Yang 006; Zhenkun Yang (CoRR, 2021)

Real-Time Error Detection in Nonlinear Control Systems Using Machine Learning Assisted State-Space Encoding. - Suvadeep Banerjee; Balavinayagam Samynathan; Jacob A. Abraham; Abhijit Chatterjee (IEEE Trans. Dependable Secur. Comput., 2021)

Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators. - Shamik Kundu; Suvadeep Banerjee; Arnab Raha; Suriyaprakash Natarajan; Kanad Basu (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. - Ayush Arunachalam; Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Kanad Basu (ISVLSI, 2022)

Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. - Ayush Arunachalam; Athulya Kizhakkayil; Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Robert Jin; Fei Su; Kanad Basu (ITC, 2022)

DEFCON: Defect Acceleration through Content Optimization. - Suriyaprakash Natarajan; Abhijit Sathaye; Chaitali Oak; Nipun Chaplot; Suvadeep Banerjee (ITC, 2022)

Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. - Shamik Kundu; Suvadeep Banerjee; Arnab Raha; Kanad Basu (VTS, 2022)

Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators. - Susmita Dey Manasi; Suvadeep Banerjee; Abhijit Davare; Anton A. Sorokin; Steven M. Burns; Desmond A. Kirkpatrick; Sachin S. Sapatnekar (ASP-DAC, 2023)

Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits. - Ayush Arunachalam; Sanjay Das; Monikka Rajan; Fei Su; Xiankun Jin; Suvadeep Banerjee; Arnab Raha; Suriyaprakash Natarajan; Kanad Basu (ITC, 2023)

Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators. - Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Suriyaprakash Natarajan; Kanad Basu (IEEE Des. Test, 2023)

A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. - Ayush Arunachalam; Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Suriyaprakash Natarajan; Kanad Basu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators. - Shamik Kundu; Suvadeep Banerjee; Arnab Raha; Fei Su; Suriyaprakash Natarajan; Kanad Basu (IEEE Trans. Computers, 2023)

Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems. - Sanjay Das; Shamik Kundu; Pooja Madhusoodhanan; Viswanathan Pillai Prasanth; Rubin A. Parekhji; Arnab Raha; Suvadeep Banerjee; Suriya Natarajan; Kanad Basu (DAC, 2024)

Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning. - Ayush Arunachalam; Ian Kintz; Suvadeep Banerjee; Arnab Raha; Xiankun Jin; Fei Su; Viswanathan Pillai Prasanth; Rubin A. Parekhji; Suriyaprakash Natarajan; Kanad Basu (CoRR, 2024)

DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack. - Shamik Kundu; Suvadeep Banerjee; Arnab Raha; Suriyaprakash Natarajan; Kanad Basu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Enhancing AMS Circuit Reliability: An Anomaly Dataset for Functional Safety Research in Automotive SoCs. - Sanjay Das; Anand Menon; Omar Abiola Abioye; Afreen Fatimah Khazi-Syed; Jonathan Edward Lee; Ayush Arunachalam; Shamik Kundu; Pooja Madhusoodhanan; Prasanth Viswanathan Pillai; Rubin A. Parekhji; Arnab Raha; Suvadeep Banerjee; et al. (ACM Great Lakes Symposium on VLSI, 2025)

Formal Verification of a Custom Compiler for a Fully Homomorphic Encryption Accelerator. - Zhenkun Yang; Suvadeep Banerjee; Jeremy Casas; Jin Yang 006 (ISQED, 2025)

OpenAssert: Towards Secure Assertion Generation using Large Language Models. - Anand Menon; Samit Shahnawaz Miftah; Amisha Srivastava; Shamik Kundu; Shovik Kundu; Arnab Raha; Suvadeep Banerjee; Deepak Mathaikutty; Kanad Basu (VTS, 2025)

Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset. - Anand Menon; Samit S. Miftah; Shamik Kundu; Souvik Kundu 009; Amisha Srivastava; Arnab Raha; Gabriel Theodor Sonnenschein; Suvadeep Banerjee; Deepak Mathaikutty; Kanad Basu (CoRR, 2025)