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- Sai Manoj Pudukotai Dinakarrao
aka: Sai Manoj P. D., Sai Manoj PD
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Publication search results
found 173 matches
- 2024
- Manish P. Kale, Sri Sai Meher, Manoj Chavan, Vikas Kumar, Md. Asif Sultan, Priyanka Dongre, Karan Narkhede, Jitendra Mhatre, Narpati Sharma, Bayvesh Luitel, Ningwa Limboo, Mahendra Baingne, Satish N. Pardeshi
, Mohan Labade, Aritra Mukherjee, Utkarsh Joshi, Neelesh Kharkar, Sahidul Islam, Sagar Pokale, Gokul Thakare, Shravani Talekar, Mukunda Dev Behera
, D. Sreshtha, Manoj Khare, Akshara Kaginalkar, Naveen Kumar, Partha Sarathi Roy
:
Operational Forest-Fire Spread Forecasting Using the WRF-SFIRE Model. Remote. Sens. 16(13): 2480 (2024) - Sathwika Bavikadi
, Purab Ranjan Sutradhar
, Mark A. Indovina
, Amlan Ganguly
, Sai Manoj Pudukotai Dinakarrao
:
ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2288-2300 (2024) - Pavlos Zouridakis
, Sai Manoj Pudukotai Dinakarrao
:
Performance- and Energy-Aware Gait-Based User Authentication With Intermittent Computation for IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 600-612 (2024) - Purab Ranjan Sutradhar
, Sathwika Bavikadi
, Sai Manoj Pudukotai Dinakarrao
, Mark A. Indovina
, Amlan Ganguly
:
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. IEEE Trans. Emerg. Top. Comput. 12(1): 60-72 (2024) - Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. ASPDAC 2024: 368-373 - Sreenitha Kasarapu
, Dipkamal Bhusal
, Nidhi Rastogi
, Sai Manoj Pudukotai Dinakarrao
:
Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection. ACM Great Lakes Symposium on VLSI 2024: 477-482 - Raghul Saravanan
, Sai Manoj Pudukotai Dinakarrao
:
The Fuzz Odyssey: A Survey on Hardware Fuzzing Frameworks for Hardware Design Verification. ACM Great Lakes Symposium on VLSI 2024: 192-197 - Raghul Saravanan
, Sai Manoj Pudukotai Dinakarrao
:
Exploring Coverage Metrics in Hardware Fuzzing: A Comprehensive Analysis. ACM Great Lakes Symposium on VLSI 2024: 240-245 - Sanket Shukla
, Sathwika Bavikadi
, Sai Manoj Pudukotai Dinakarrao
:
Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. ACM Great Lakes Symposium on VLSI 2024: 633-638 - Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs. ISQED 2024: 1-6 - Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications. VLSID 2024: 222-227 - Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao:
Processing-in-Memory Architecture with Precision-Scaling for Malware Detection. VLSID 2024: 529-534 - Raghul Saravanan, Sai Manoj Pudukotai Dinakarrao:
The Emergence of Hardware Fuzzing: A Critical Review of its Significance. CoRR abs/2403.12812 (2024) - Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Generative AI-Based Effective Malware Detection for Embedded Computing Systems. CoRR abs/2404.02344 (2024) - Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization. CoRR abs/2404.08808 (2024) - Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao:
Empowering Malware Detection Efficiency within Processing-in-Memory Architecture. CoRR abs/2404.08818 (2024) - Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security. CoRR abs/2404.10012 (2024) - 2023
- Sayed Aresh Beheshti-Shirazi
, Najmeh Nazari
, Kevin Immanuel Gubbi, Banafsheh Saber Latibari
, Setareh Rafatirad
, Houman Homayoun
, Avesta Sasan, Sai Manoj P. D.
:
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. IEEE Access 11: 87869-87886 (2023) - Kaushlendra Sharma, Md. Mehedi Hassan
, Saroj Kumar Pandey, Mimansha Saini, Rajesh Doriya, Manoj Kumar Ojha, Anurag Sinha
, Chetna Kaushal
, Anupam Kumar Bairagi
, Naglaa F. Soliman
:
Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm. IEEE Access 11: 146003-146013 (2023) - Amir Hosein Afandizadeh Zargari, Marzieh Ashrafiamiri, Minjun Seo, Sai Manoj Pudukotai Dinakarrao
, Mohammed E. Fouda
, Fadi J. Kurdahi:
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. Inf. 14(12): 656 (2023) - Abhijitt Dhavlle
, M. Meraj Ahmed
, Naseef Mansoor
, Kanad Basu
, Amlan Ganguly
, Sai Manoj Pudukotai Dinakarrao
:
Defense Against On-Chip Trojans Enabling Traffic Analysis Attacks Based on Machine Learning and Data Augmentation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4681-4694 (2023) - Rakibul Hassan
, Xingyu Meng
, Kanad Basu
, Sai Manoj Pudukotai Dinakarrao:
Circuit Topology-Aware Vaccination-Based Hardware Trojan Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(9): 2852-2862 (2023) - Sreenitha Kasarapu
, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
:
Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4618-4628 (2023) - Kevin Immanuel Gubbi
, Banafsheh Saber Latibari
, Anirudh Srikanth
, Tyler Sheaves
, Sayed Arash Beheshti-Shirazi
, Sai Manoj PD
, Setareh Rafatirad
, Avesta Sasan
, Houman Homayoun
, Soheil Salehi
:
Hardware Trojan Detection Using Machine Learning: A Tutorial. ACM Trans. Embed. Comput. Syst. 22(3): 46:1-46:26 (2023) - N. Aishwarya
, K. Manoj Prabhakaran, Frezewd Tsegaye Debebe, M. Sai Sree Akshitha Reddy, Posina Pranavee:
Skin Cancer diagnosis with Yolo Deep Neural Network. ANT/EDI40 2023: 651-658 - Katherine Mercado, Sathwika Bavikadi
, Sai Manoj P. D.:
Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. CISS 2023: 1-6 - Nima Kavand
, Armin Darjani
, Jens Trommer
, Giulio Galderisi
, Thomas Mikolajick
, Nicolai Müller
, Amir Moradi
, Chongzhou Fang
, Ning Miao
, Han Wang
, Sai Manoj P. D.
, Houman Homayoun
, Benjamin Hettwer
, Luca Parrini
, Akash Kumar
:
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. CODES+ISSS 2023: 8-17 - Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun:
Don't Cross Me! Cross-layer System Security. DAC 2023: 1-2 - Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE 2023: 1-6 - Purab Ranjan Sutradhar
, Sathwika Bavikadi
, Mark A. Indovina
, Sai Manoj Pudukotai Dinakarrao
, Amlan Ganguly
:
FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications. ACM Great Lakes Symposium on VLSI 2023: 207-211
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