Low Power Realization of FIR Filters Implemented using Distributed Arithmetic. - Mahesh Mehendale; Amit Sinha; Sunil D. Sherlekar (ASP-DAC, 1998)

mproving Area Efficiency of FIR Filters Implemented Using Distributed Arithmetic. - Amit Sinha; Mahesh Mehendale (VLSI Design, 1998)

Energy-scalable algorithms and protocols for wireless microsensor networks. - Wendi Rabiner Heinzelman; Amit Sinha; Alice Wang; Anantha P. Chandrakasan (ICASSP, 2000)

Algorithmic transforms for efficient energy scalable computation. - Amit Sinha; Alice Wang; Anantha P. Chandrakasan (ISLPED, 2000)

Energy Aware Software. - Amit Sinha; Anantha P. Chandrakasan (VLSI Design, 2000)

JouleTrack - A Web Based Tool for Software Energy Profiling. - Amit Sinha; Anantha P. Chandrakasan (DAC, 2001)

Energy Efficient Real-Time Scheduling. - Amit Sinha; Anantha P. Chandrakasan (ICCAD, 2001)

Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks. - Amit Sinha; Anantha P. Chandrakasan (Mobile Data Management, 2001)

Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. - Eugene Shih; Seong-Hwan Cho; Nathan Ickes; Rex Min; Amit Sinha; Alice Wang; Anantha P. Chandrakasan (MobiCom, 2001)

Low-Power Wireless Sensor Networks. - Rex Min; Manish Bhardwaj; Seong-Hwan Cho; Eugene Shih; Amit Sinha; Alice Wang; Anantha P. Chandrakasan (VLSI Design, 2001)

Dynamic Voltage Scheduling Using Adaptive Filtering of Workload Traces. - Amit Sinha; Anantha P. Chandrakasan (VLSI Design, 2001)

Dynamic Power Management in Wireless Sensor Networks. - Amit Sinha; Anantha P. Chandrakasan (IEEE Des. Test Comput., 2001)

Energy-Scalable Protocols for Battery-Operated MicroSensor Networks. - Alice Wang; Wendi B. Heinzelman; Amit Sinha; Anantha P. Chandrakasan (J. VLSI Signal Process., 2001)

Energy efficient operating systems and software. - Amit Sinha (2001)

Topological Analysis for Leakage Prediction of Digital Circuits. - Wenjie Jiang; Vivek Tiwari; Erik de la Iglesia; Amit Sinha (ASP-DAC/VLSI Design, 2002)

Energy scalable system design. - Amit Sinha; Alice Wang; Anantha P. Chandrakasan (IEEE Trans. Very Large Scale Integr. Syst., 2002)

Energy-centric enabling tecumologies for wireless sensor networks. - Rex Min; Manish Bhardwaj; Seong-Hwan Cho; Nathan Ickes; Eugene Shih; Amit Sinha; Alice Wang; Anantha P. Chandrakasan (IEEE Wirel. Commun., 2002)

A double authentication scheme to detect impersonation attack in link state routing protocols. - Dijiang Huang; Amit Sinha; Deep Medhi (ICC, 2003)

Instruction level and operating system profiling for energy exposed software. - Amit Sinha; Nathan Ickes; Anantha P. Chandrakasan (IEEE Trans. Very Large Scale Integr. Syst., 2003)

Dynamic Power Management in Sensor Networks. - Anantha P. Chandrakasan; Amit Sinha (Handbook of Sensor Networks, 2004)

A key distribution scheme for double authentication in link state routing protocol. - Dijiang Huang; Amit Sinha; Deep Medhi (IPCCC, 2005)

Network game traffic: A broadband access perspective. - Amit Sinha; Kenneth Mitchell; Deep Medhi (Comput. Networks, 2005)

On providing confidentiality in link state routing protocol. - Dijiang Huang; Amit Sinha; Deep Medhi (CCNC, 2006)

Wireless intrusion protection system using distributed collaborative intelligence. - Amit Sinha; Issam Haddad; Todd Nightingale; Richard Rushing; David Thomas (IPCCC, 2006)

New architecture for intra-domain network security issues. - Dijiang Huang; Qing Cao; Amit Sinha; Marc J. Schniederjans; Cory C. Beard; Lein Harn; Deep Medhi (Commun. ACM, 2006)

Identifying Transcriptional Modules using Subspace Clustering. - Amit Sinha (ISAIM, 2010)

A new era of computing: Are you "ready now" to build a smarter and secured enterprise? - Jacqueline Woods; Sridhar Iyengar; Amit Sinha; Subhasish Mitra; Stacy Cannady (ISQED, 2014)

An FPGA Based Ecosystem for USBPHY Validation. - Maneesh Kumar Pandey; Shwetank Shekhar; Amit Sinha; Arun Mishra (MTV, 2014)

Computing Diffusion State Distance Using Green's Function and Heat Kernel on Graphs. - Edward Boehnlein; Peter Chin 001; Amit Sinha; Linyuan Lu (WAW, 2014)

A Study on Cloud-based data integrity of outsourced data using Blockchain. - Ritin Behl; Abhilasha Singh; Amit Sinha (IC3I, 2022)

Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems. - Jayakumar Subramanian; Amit Sinha; Raihan Seraj; Aditya Mahajan (J. Mach. Learn. Res., 2022)

Asymmetric Actor-Critic with Approximate Information State. - Amit Sinha; Aditya Mahajan (CDC, 2023)

Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. - Hadi Nekoei; Akilesh Badrinaaraayanan; Amit Sinha; Mohammad Amini; Janarthanan Rajendran; Aditya Mahajan; Sarath Chandar (CoLLAs, 2023)

Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction. - Jitendra Kumar Chauhan; Tanveer Ahmed; Amit Sinha (RTIP2R (1), 2023)

Approximate information state based convergence analysis of recurrent Q-learning. - Erfan Seyedsalehi; Nima Akbarzadeh; Amit Sinha; Aditya Mahajan (CoRR, 2023)

Robustness and Sample Complexity of Model-Based MARL for General-Sum Markov Games. - Jayakumar Subramanian; Amit Sinha; Aditya Mahajan (Dyn. Games Appl., 2023)

Agent-state based policies in POMDPs: Beyond belief-state MDPs. - Amit Sinha; Aditya Mahajan (CDC, 2024)

Periodic agent-state based Q-learning for POMDPs. - Amit Sinha; Matthieu Geist; Aditya Mahajan (NeurIPS, 2024)

A novel deep learning-based technique for detecting prostate cancer in MRI images. - Sanjay Kumar Singh; Amit Sinha; Harikesh Singh; Aniket Mahanti; Abhishek Patel; Shubham Mahajan; Amit Kant Pandit; Varadarajan Vijayakumar 001 (Multim. Tools Appl., 2024)

Decentralized blockchain-based security enhancement with lamport merkle digital signature generation and optimized encryption in cloud environment. - Sachi Pandey; Ritin Behl; Amit Sinha (Multim. Tools Appl., 2024)

A Blockchain Framework for E-Voting. - Harikesh Singh; Amit Sinha (Multim. Tools Appl., 2024)

Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews. - Ashwin Perti; Amit Sinha; Ankit Vidyarthi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website's data. - Jitendra Kumar Chauhan; Tanveer Ahmed; Amit Sinha (Connect. Sci., 2025)