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ORCIDPabitra Das
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Journal Articles
- 2025
[j6]Anmol Singh Narwariya
, Pabitra Das, Saqib Khursheed, Amit Acharyya:
Noninvasive Methodology for the Age Estimation of ICs Using Gaussian Process Regression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(5): 1833-1844 (2025)- [j5]M. B. Rakesh, Pabitra Das, Sai Pranav K. R, Amit Acharyya:
GRIPT: Graph Attention-Assisted Inductive Methodology for Fast and Accurate Average Power Estimation From RTL Simulation Skipping Gate-Level Simulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(11): 4209-4221 (2025) - [j4]M. B. Rakesh, Pabitra Das, Sai Pranav K. R, Amit Acharyya:
Inductive GNN-Based Methodology for Accurate and Fast Average Power Estimation of Synthesized ASIC Designs From RTL Simulation Bypassing Gate-Level Simulation. IEEE Trans. Circuits Syst. I Regul. Pap. 72(6): 2818-2831 (2025) - 2021
- [j3]Pabitra Das, Chandrajit Pal, Amit Acharyya, Amlan Chakrabarti, Saumyajit Basu:
Deep neural network for automated simultaneous intervertebral disc (IVDs) identification and segmentation of multi-modal MR images. Comput. Methods Programs Biomed. 205: 106074 (2021) - 2020
- [j2]Pabitra Das, Chandrajit Pal, Amlan Chakrabarti, Amit Acharyya, Saumyajit Basu:
Adaptive denoising of 3D volumetric MR images using local variance based estimator. Biomed. Signal Process. Control. 59: 101901 (2020) - 2017
- [j1]Chandrajit Pal, Pabitra Das, Amlan Chakrabarti, Ranjan Ghosh:
Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering. Int. J. Imaging Syst. Technol. 27(3): 248-264 (2017)
Conference and Workshop Papers
- 2025
- [c20]Prateek Agrawal, Rashmi Kumari, Pabitra Das, Surita Sarkar, Amit Acharyya:
A Novel Deep-Learning Method for Obstructive Sleep Apnea Detection from Single Channel Photoplethysmography. ISCAS 2025: 1-5 - [c19]Rashmi Kumari, Prateek Agrawal, Surita Sarkar, Pabitra Das, Amit Acharyya:
A Novel Methodology for Obstructive Sleep Apnea Detection from ECG using Deep Learning Approach. ISCAS 2025: 1-5 - [c18]Anmol Singh Narwariya, Aniruddha Paradkar, Pabitra Das, Amit Acharyya:
REVBiT 2.0: REVerse Engineering of BiTstream for LUT Extraction, Boolean Logic, and Pin Combination Identification. ISCAS 2025: 1-5 - [c17]Rahul Verma, Pabitra Das, Surita Sarkar, Prateek Agrawal, Rashmi Kumari, Amit Acharyya:
XVPE-Net: A Novel Methodology for Interpretable Vital Parameter and Cuffless Blood Pressure Estimation from PPG Signal. ISCAS 2025: 1-5 - [c16]P. B. Natarajan, Anand Raj, Pabitra Das, Souris Sahu, Amit Acharyya:
Genesis: A High Speed Methodology for Gate Level Netlist Extraction from Spices. NewCAS 2025: 65-69 - [c15]Srejita Chakraborty, Rashmi Kumari, Pabitra Das, Surita Sarkar, Souris Sahu, Saurabh Pal, Amit Acharyya:
Deep Learning Based Stress Assessment Using PPG Signals from WESAD Dataset. NewCAS 2025: 296-300 - 2024
- [c14]Arpit Jain, Pabitra Das, Amit Acharyya, Rakesh MB:
ANN-based Accurate and Fast Post-Route QoR Data Prediction Methodology from Pre-Clock Tree Synthesis by Skipping CTS and Routing. ISCAS 2024: 1-5 - [c13]Rashmi Kumari, Surita Sarkar, Debeshi Dutta, Pabitra Das, Amit Acharyya:
P2E-LGAN: PPG to ECG Reconstruction Methodology using LSTM based Generative Adversarial Network. ISCAS 2024: 1-5 - [c12]Anmol Singh Narwariya, Chetan Talele, Pabitra Das, Amit Acharyya:
REVBiT: REVerse Engineering of BiTstream for LUT Extraction & Logic Identification. ISCAS 2024: 1-5 - [c11]Agshare Dheeraj, Pabitra Das, Y. V. Sai Dinesh, Anagha Nimbekar, Amit Acharyya:
Multiple PUF-CPRNG based Authentication Methodology for Protecting the IP Cores. SOCC 2024: 1-6 - [c10]Pratibha Verma, Tarun Gupta, Pabitra Das, Appa Rao Nali, Vidhumouli Hunsigida, Amit Acharyya:
Hardware-Aware Network Adaptation using Width and Depth Shrinking including Convolutional and Fully Connected Layer Merging. SOCC 2024: 1-6 - 2023
- [c9]Rakesh M. B., Pabitra Das, Anant Terkar, Amit Acharyya:
GRASPE: Accurate Post-Synthesis Power Estimation from RTL using Graph Representation Learning. ISCAS 2023: 1-5 - [c8]Anand Raj, Nikhitha Avula, Pabitra Das, Dominik Sisejkovic, Farhad Merchant, Amit Acharyya:
DeepAttack: A Deep Learning Based Oracle-less Attack on Logic Locking. ISCAS 2023: 1-5 - [c7]Mohammed Rafi Shaik, Dubacharla Gyaneshwar, Dheeraj Chellu, Shikari Sriker, Pabitra Das, Karthikeyan Mohanraj, Tejas Arya, Amit Acharyya:
Energy-Efficient High-Speed Architecture for Vehicle Speed Prediction Using Microcontrollers. MWSCAS 2023: 972-976 - [c6]Rakesh M. B., Pabitra Das, Sai Pranav K. R, Amit Acharyya:
GRILAPE: Graph Representation Inductive Learning-based Average Power Estimation for Frontend ASIC RTL Designs. VLSID 2023: 1-6 - 2022
- [c5]Anmol Singh Narwariya, Pabitra Das, Saqib Khursheed, Amit Acharyya:
Operational Age Estimation of ICs using Gaussian Process Regression. DFT 2022: 1-5 - [c4]Rakesh M. B., Sai Pranav K. R, Pabitra Das, Amit Acharyya:
GLAAPE: Graph Learning Assisted Average Power Estimation for Gate-level Combinational Designs. ICECS 2022 2022: 1-4 - [c3]Arpit Jain, Pabitra Das, Amit Acharyya:
Artificial Neural Network Based Post-CTS QoR Report Prediction. ISCAS 2022: 682-686 - [c2]Agshare Dheeraj, Pabitra Das, Kiran Kumar A, Srisubha Kalanadhabhatta, Amit Acharyya:
Modeling Attacks Resilient Multiple PUF-CPRNG Architecture Design Methodology. SOCC 2022: 1-6 - 2015
- [c1]Chandrajit Pal, Pabitra Das, Sudhindu Bikash Mandal, Amlan Chakrabarti, Samik Basu, Ranjan Ghosh:
An efficient hardware design of SIFT algorithm using fault tolerant reversible logic. ReTIS 2015: 514-519
Coauthor Index
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