1- Seed Money Grant from Guru Ghasidas University
2- DoT funded Project for CSI Feedback compression in 6G networks 2024.
Mishra, G., Kashyap, N., & Tripathi, R. (2026), " Quantile Regression-Based Solar Power Prediction", International Journal of Artificial Intelligence and Machine Learning, 6(12s), 512–521, https://doi.org/10.51483/IJAIML.6.12s.2026.512-521
Bhabana Sarma, Harshit Tiwari, Ignacio Llamas-Garro, Ruchi Tripathi, Satyendra Kumar Mishra, "Photonic Hardware and Network Architectures for the Quantum Internet: From Entanglement Generation to Global Connectivity", Laser & Photonics Reviews (2026): e71837. https://doi.org/10.1002/lpor.71837
P. Shadangi, N. Kashyap, R. Tripathi, N. Tiwari, R. Patidar and S. D. Swain, "Cyberbullying Detection in Social Media Using Machine Learning Techniques with Multimodal Analysis," 2026 International Conference on Electrical and Electronics for Sustainable Innovations (ICEESI), Raigarh, India, 2026, pp. 1-6, doi: https://doi.org/10.1109/ICEESI68020.2026.11583302
Gargi Mishra, Pratibha Sahu, and R. Tripathi, "Solar Energy Prediction Using LSTM and MLP: Performance Evaluation on Real-World Data, IEEE International Conference on Electrical and Electronics Engineering 2025, MMMUT Gorakhpur." https://doi.org/10.1109/ICE367573.2025.11448805.
R. Tripathi and K. Rajawat, "Adaptive Network Latency Prediction from Noisy Measurements," IEEE Transactions on Network and Service Management - Special Issue on Data Analytics and Machine Learning for Network and Service Management, May 2021. https://doi.org/10.1109/TNSM.2021.3051736
Harsh Vardhan, Ruchi Tripathi, Ketan Rajawat, "Adaptive Front-end for MIMO Radar with Dynamic Matrix Completion", in Proc. of the Intl. Conf. on Signal Processing and Communications (SPCOM), Bangalore, India. July 2020. 10.1109/SPCOM50965.2020.9179549
R. Dixit, A. S. Bedi, R. Tripathi, and K. Rajawat, "Online Learning with Inexact Proximal Online Gradient Descent Algorithms," IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1338-1352, Mar. 2019. [Videos] 10.1109/TSP.2018.2890368
R. Dixit, A. S. Bedi, R. Tripathi, and K. Rajawat, "Time Varying Optimization via Inexact Proximal Online Gradient Descent," in Proc. of the Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2018.
R. Tripathi and K. Rajawat, "Dynamic Network Latency Prediction with Adaptive Matrix Completion," in Proc. of the Intl. Conf. on Signal Processing and Communications (SPCOM), Bangalore, India. June 2018.
R. Tripathi, B. Mohan, and K. Rajawat, "Adaptive low rank matrix completion," IEEE Transactions on Signal Processing, vol. 65, no. 14, pp. 3603-3616, July 2017. [Videos]
R. Tripathi, Boda Mohan and K. Rajawat,"Tracking and Predicting Network Latencies", in Ph.D. Forum, COMSNETS, Bangalore-Jan, 2015