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Sidharth Maheshwari
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2020 – today
- 2024
- [c10]Tousif Rahman, Gang Mao, Sidharth Maheshwari, Rishad A. Shafik, Alex Yakovlev:
MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications. DATE 2024: 1-6 - [i1]Tousif Rahman, Gang Mao, Sidharth Maheshwari, Rishad A. Shafik, Alex Yakovlev:
MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications. CoRR abs/2403.10538 (2024) - 2023
- [j6]Sidharth Maheshwari, Tousif Rahman, Rishad A. Shafik, Alex Yakovlev, Ashur Rafiev, Lei Jiao, Ole-Christoffer Granmo:
REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11152-11168 (2023) - 2022
- [j5]Venkateshwarlu Yellaswamy Gudur, Sidharth Maheshwari, Amit Acharyya, Rishad A. Shafik:
An FPGA Based Energy-Efficient Read Mapper With Parallel Filtering and In-Situ Verification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2697-2711 (2022) - [c9]Venkateshwarlu Yellaswamy Gudur, Sidharth Maheshwari, Swati Bhardwaj, Amit Acharyya, Rishad A. Shafik:
Hardware-Algorithm Codesign for Fast and Energy Efficient Approximate String Matching on FPGA for Computational Biology. EMBC 2022: 87-90 - 2021
- [j4]Sidharth Maheshwari, Venkateshwarlu Y. Gudur, Rishad A. Shafik, Ian Wilson, Alex Yakovlev, Amit Acharyya:
CORAL: Verification-Aware OpenCL Based Read Mapper for Heterogeneous Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1426-1438 (2021) - [c8]Sidharth Maheshwari, Rishad A. Shafik, Ian Wilson, Alex Yakovlev, Venkateshwarlu Y. Gudur, Amit Acharyya:
PLEDGER: Embedded Whole Genome Read Mapping using Algorithm-HW Co-design and Memory-aware Implementation. DATE 2021: 1855-1858 - 2020
- [c7]Sidharth Maheshwari, Rishad A. Shafik, Ian Wilson, Alex Yakovlev, Amit Acharyya:
REPUTE: An OpenCL based Read Mapping Tool for Embedded Genomics. DATE 2020: 121-126 - [c6]Venkateshwarlu Y. Gudur, Sidharth Maheshwari, Rishad A. Shafik, Amit Acharyya:
Accelerated Filtering and in situ Verification for Energy-Optimized Genome Read Mapping. ISCAS 2020: 1-5
2010 – 2019
- 2016
- [j3]Sidharth Maheshwari, Amit Acharyya, Paolo Emilio Puddu, Evangelos B. Mazomenos, Michele Schiariti, Koushik Maharatna:
Robust and accurate personalised reconstruction of standard 12-lead system from Frank vectorcardiographic system. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4(3-4): 183-192 (2016) - [c5]Sidharth Maheshwari, Gourav Modi, Siddhartha, Nachiket Kapre:
Vector FPGA acceleration of 1-D DWT computations using sparse matrix skeletons. FPL 2016: 1-4 - 2015
- [j2]Naresh Vemishetty, Arpit Jain, Aashish Amber, Sidharth Maheshwari, Agathya Jagirdar, Amit Acharyya:
A Robust Reliable and Low Complexity on Chip f-QRS Detection and Identification Architecture for Remote Personalized Health Care Applications. J. Low Power Electron. 11(3): 387-400 (2015) - 2014
- [j1]Sidharth Maheshwari, Amit Acharyya, Paolo Emilio Puddu, Michele Schiariti:
Reduced lead system selection methodology for reliable standard 12-lead reconstruction targeting personalised remote health monitoring applications. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 2(2): 107-120 (2014) - [c4]Utkalika Panda, Sidharth Maheshwari, Gayathri Padma, Murugaiyan Thendral, Agathya Jagirdar, Venkateswara Chowdary, Naresh Vemishetty, Amit Acharyya, Paolo Emilio Puddu, Michele Schiariti:
Personalised System-on-chip and Mobile-App for Standard 12-lead Reconstruction from the Reduced 3-lead System Targeting Remote Health Care. CinC 2014: 1081-1084 - [c3]Shyamsundar Venkataraman, Rui Santos, Sidharth Maheshwari, Akash Kumar:
Multi-directional error correction schemes for SRAM-based FPGAs. FPL 2014: 1-8 - 2013
- [c2]Sidharth Maheshwari, Amit Acharyya, Paolo Emilio Puddu, Michele Schiariti:
Methodology for automated detection of fragmentation in QRS complex of Standard 12-lead ECG. EMBC 2013: 3789-3792 - [c1]Sidharth Maheshwari, Amit Acharyya, Pachamuthu Rajalakshmi, Paolo Emilio Puddu, Michele Schiariti:
Accurate and reliable 3-lead to 12-lead ECG reconstruction methodology for remote health monitoring applications. Healthcom 2013: 233-237
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