1. R. Mishra and H. P. Gupta, "Towards Understanding the Impact of Participant and its Wearable Devices in Federated Learning," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2025.3530818. [pdf]
2. R. Mishra and H. P. Gupta, "Fed-NL: A Federated Learning Approach to Suppress Noise in Participant Datasets to Reduce Communication Rounds for Convergence," in IEEE Transactions on Mobile Computing, [Accepted]. [pdf]
3. R. Mishra, H. P. Gupta, G. Banga and S. K. Das, "Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning," in IEEE Transactions on Parallel and Distributed Systems, vol. 35, no. 7, pp. 1207-1220, July 2024, doi: 10.1109/TPDS.2024.3379933.[pdf]
4. Rahul Mishra and Hari Prabhat Gupta. 2023. A Model Personalization-based Federated Learning Approach for Heterogeneous Participants with Variability in the Dataset. ACM Trans. Sen. Netw. 20, 1, Article 22 (January 2024), 28 pages. https://doi.org/10.1145/3629978.[pdf]
5. R. Mishra and H. P. Gupta, "Designing and Training of Lightweight Neural Networks on Edge Devices Using Early Halting in Knowledge Distillation," in IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 4665-4677, May 2024, doi: 10.1109/TMC.2023.3297026.[pdf]
6. Rahul Mishra and Hari Gupta. 2023. Transforming Large-Size to Lightweight Deep Neural Networks for IoT Applications. ACM Comput. Surv. 55, 11, Article 233 (November 2023), 35 pages. https://doi.org/10.1145/3570955.[pdf]
7. R. Mishra, H. P. Gupta, R. Kumar and T. Dutta, "Leveraging Augmented Intelligence of Things to Enhance Lifetime of UAV-Enabled Aerial Networks," in IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 586-593, Jan. 2023, doi: 10.1109/TII.2022.3197410.[pdf]
8. R. Mishra, H. P. Gupta, P. Kumari, D. Y. Suh and M. J. Piran, "A Task Offloading and Reallocation Scheme for Passenger Assistance Using Fog Computing," in IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 3032-3047, Sept. 2022, doi: 10.1109/TNSM.2022.3172602.[pdf]
9. R. Mishra, A. Gupta and H. P. Gupta, "Locomotion Mode Recognition Using Sensory Data with Noisy Labels: A Deep Learning Approach," in IEEE Transactions on Mobile Computing, vol. 22, no. 6, pp. 3460-3471, 1 June 2023, doi: 10.1109/TMC.2021.3135878.[pdf]
10. R. Mishra, A. Gupta, H. P. Gupta and T. Dutta, "A Sensors Based Deep Learning Model for Unseen Locomotion Mode Identification using Multiple Semantic Matrices," in IEEE Transactions on Mobile Computing, vol. 21, no. 3, pp. 799-810, 1 March 2022, doi: 10.1109/TMC.2020.3015546.[pdf]
11. R. Mishra, H. P. Gupta and T. Dutta, "A Road Health Monitoring System Using Sensors in Optimal Deep Neural Network," in IEEE Sensors Journal, vol. 21, no. 14, pp. 15527-15534, 15 July15, 2021, doi: 10.1109/JSEN.2020.3005998.[pdf]
12. R. Mishra, H. P. Gupta and T. Dutta, "Analysis, Modeling, and Representation of COVID-19 Spread: A Case Study on India," in IEEE Transactions on Computational Social Systems, vol. 8, no. 4, pp. 964-973, Aug. 2021, doi: 10.1109/TCSS.2021.3077701.[pdf]
13. R. Mishra, A. Soni, A. Jain, P. Lalwani and R. Shah, "Optimizing Activity Recognition Through Dominant Axis Identification in Inertial Sensors," in IEEE Sensors Letters, 2024 doi: 10.1109/LSENS.2024.3523334.[pdf]
14. Pandey, A.D.… Mishra, R. et al. A machine learning-based overlay technique for improving the mechanism of road traffic prediction using global positioning system. Innov. Infrastruct. Solut. 9, 300 (2024). https://doi.org/10.1007/s41062-024-01622-2.(Corresponding author)[pdf]
15. P. Anand, S. Jain and R. Mishra, "Huber SVR-Based Hybrid Models for Significant Wave Height Forecasting Using Buoy Sensors," in IEEE Sensors Letters, vol. 7, no. 12, pp. 1-4, Dec. 2023, Art no. 6010104, doi: 10.1109/LSENS.2023.3333967.[pdf]
16. R. Kumar, H. P. Gupta, R. Mishra and S. Pandey, "Machine Learning-Based Interference Mitigation in Long-Range Networks for High-Ceiling Smart Buildings," in IEEE Access, vol. 11, pp. 96103-96118, 2023, doi: 10.1109/ACCESS.2023.3309303.(Corresponding author)[pdf]
17. C. Singh, R. Mishra, H. P. Gupta and G. Banga, "A Federated Learning-Based Patient Monitoring System in Internet of Medical Things," in IEEE Transactions on Computational Social Systems, vol. 10, no. 4, pp. 1622-1628, Aug. 2023, doi: 10.1109/TCSS.2022.3228965.(Corresponding author)[pdf]
18. R. Kumar, R. Mishra and H. P. Gupta, "A Federated Learning Approach with Imperfect Labels in LoRa-Based Transportation Systems," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 11, pp. 13099-13107, Nov. 2023, doi: 10.1109/TITS.2023.3241765.(Corresponding author)[pdf]
19. Soni, A., Mishra, R. Fair-select: a federated learning approach to ensure fairness in selection of participants. Multimedia (2024). https://doi.org/10.1007/s11042-024-20476-5.(Corresponding author)[pdf]
20. R. Kumar, R. Mishra, H. P. Gupta and T. Dutta, "Smart Sensing for Agriculture: Applications, Advancements, and Challenges," in IEEE Consumer Electronics Magazine, vol. 10, no. 4, pp. 51-56, 1 July 2021, doi: 10.1109/MCE.2021.3049623.(Corresponding author)[pdf]
21. S. Chopade, H. P. Gupta, R. Mishra, P. Kumari and T. Dutta, "An Energy-Efficient River Water Pollution Monitoring System in Internet of Things," in IEEE Transactions on Green Communications and Networking, vol. 5, no. 2, pp. 693-702, June 2021, doi: 10.1109/TGCN.2021.3062470.(Corresponding author)[pdf]
22. P. Kumari, R. Mishra, H. P. Gupta, T. Dutta and S. K. Das, "An Energy Efficient Smart Metering System Using Edge Computing in LoRa Network," in IEEE Transactions on Sustainable Computing, vol. 7, no. 4, pp. 786-798, 1 Oct.-Dec. 2022, doi: 10.1109/TSUSC.2021.3049705.[pdf]
23. C. Singh, P. Kumari, R. Mishra, H. P. Gupta and T. Dutta, "Secure Industrial IoT Task Containerization with Deadline Constraint: A Stackelberg Game Approach," in IEEE Transactions on Industrial Informatics, vol. 18, no. 12, pp. 8674-8681, Dec. 2022, doi: 10.1109/TII.2022.3156647.(Corresponding author) [pdf]
24. S. Chopade, H. P. Gupta, R. Mishra, A. Oswal, P. Kumari and T. Dutta, "A Sensors-Based River Water Quality Assessment System Using Deep Neural Network," in IEEE Internet of Things Journal, vol. 9, no. 16, pp. 14375-14384, 15 Aug.15, 2022, doi: 10.1109/JIOT.2021.3078892. (Corresponding author) [pdf]
25. A. Chaudhary, R. Mishra, H. P. Gupta and K. K. Shukla, "Jointly Prediction of Activities, Locations, and Starting Times for Isolated Elderly People," in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 5, pp. 2288-2295, May 2023, doi: 10.1109/JBHI.2021.3121296. [pdf]
26. P. Kumari, R. Mishra and H. P. Gupta, "A Knowledge Distillation-Based Transportation System for Sensory Data Sharing Using LoRa," in IEEE Sensors Journal, vol. 21, no. 22, pp. 25315-25322, 15 Nov.15, 2021, doi: 10.1109/JSEN.2020.3025835. [pdf]
27. C. Singh, R. Mishra, H. P. Gupta and P. Kumari, "The Internet of Drones in Precision Agriculture: Challenges, Solutions, and Research Opportunities," in IEEE Internet of Things Magazine, vol. 5, no. 1, pp. 180-184, March 2022, doi: 10.1109/IOTM.006.2100100. (Corresponding author) [pdf]
28. S. Saraswat, V. Agarwal, H. P. Gupta, Rahul Mishra, A. Gupta, and T. Dutta, “Challenges and solutions in software-defined networking: A survey,” Journal of Network and Computer Applications, vol. 141, pp. 23-58, 2019. (Corresponding author) [pdf]
29. A. Tripathi, H. P. Gupta, T. Dutta, Rahul Mishra, K. K. Shukla, and S. Jit, “Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenges”, IEEE Access, vol 6, pp. 26971-26992, 2018. [pdf]