Shamik Kundu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DAC | Machine Learning-Driven STL Generation for Enhancing Functional Safety of E/E Systems. | Sanjay Das, Swastik Bhattacharya, Anand Menon, Shamik Kundu, Pooja Madhusoodhanan, Prasanth Viswanathan Pillai, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu |
| 2025 | IJCNN | GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. | Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan |
| 2025 | ISLPED | Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. | Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna |
| 2025 | VTS | 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 |
| 2024 | DAC | 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 |
| 2024 | DAC | MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks. | Shamik Kundu, Mirazul Haque, Sanjay Das, Wei Yang, Kanad Basu |
| 2024 | ISLPED | SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. | Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty |
| 2024 | VLSID | HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. | Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan |
| 2024 | VTS | Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators. | Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha R. Kharel, Kanad Basu |
| 2022 | IOLTS | Detecting Functional Safety Violations in Online AI Accelerators. | Shamik Kundu, Kanad Basu |
| 2022 | ISLPED | Design and Logic Synthesis of a Scalable, Efficient Quantum Number Theoretic Transform. | Chao Lu, Shamik Kundu, Abraham Peedikayil Kuruvila, Supriya Margabandhu Ravichandran, Kanad Basu |
| 2022 | ITC | 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 |
| 2022 | ITC | RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. | Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu |
| 2022 | VTS | Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. | Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu |
| 2021 | DAC | Secure Logic Locking with Strain-Protected Nanomagnet Logic. | Naimul Hassan, Alexander J. Edwards, Dhritiman Bhattacharya, Mustafa M. Shihab, Varun Venkat, Peng Zhou, Xuan Hu, Shamik Kundu, Abraham Peedikayil Kuruvila, Kanad Basu, Jayasimha Atulasimha, Yiorgos Makris, Joseph S. Friedman |
| 2021 | VTS | Special Session: Reliability Analysis for AI/ML Hardware. | Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin |
| 2020 | IOLTS | High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. | Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu |