Contact
Address:
Dept. Of Computer Science & Engg.,
Indian Institute of Technology (BHU),
Varanasi, India
Email: rahulmishra.rs.cse17@iitbhu.ac.in
Skype Id: live: errahulmishra.cse
YogaHelp: Times of India, Hindustan Times
Internet of Drones (BIS): The Times of India (Page 2, Ahembdabad Edition, credit:Times of India)
Rahul Mishra currently holds a faculty position in the Department of Computer Science and Engineering at IIT Patna. Before this role, he was an assistant professor at DA-IICT, Gandhinagar. His professional journey also includes a tenure as a Research Associate at the Department of Computation and Data Science, Indian Institute of Science, Bangalore, India. His research focuses on machine learning and deep learning, particularly in system deployment. Notably, he has delved into real-world deployment challenges with a specific emphasis on federated learning perspectives. Additionally, he has actively pursued applications in the practical domain, with a keen interest in areas involving drones and edge computation.
Rahul Mishra's academic background includes being a research scholar at the Department of Computer Science and Engineering, IIT (BHU) Varanasi, where he completed his Ph.D. His doctoral research spanned the broad domain of sensor data analytics and applied artificial intelligence, integrating deep learning and federated learning methodologies.
Rahul Mishra and H. P. Gupta, "Towards Understanding the Impact of Participant and its Wearable Devices in Federated Learning," in IEEE Transactions on Mobile Computing, 2025.
Rahul Mishra and H.P. Gupta, "i-Care: A Multi-Modal Data Integration Approach for Real-time Surveillance and Voice Assistance to Improve Infant Care", 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2024), Nov 7 - 8, 2024 in Hangzhou, China (Accepted).
A K Shina, Rahul Mishra, and H.P. Gupta, "Poster Abstract: Your Gesture Can Prevent Oops Moments in Online Meetings", International Conference on Embedded Wireless Systems and Networks (EWSN), Abu Dhabi, United Arab Emirates, December 10-13, 2024.
Rahul Mishra, H. P. Gupta, G. Banga, and S. K. Das, “Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning”, IEEE Transactions on Parallel and Distributed System (TPDS) [Accepted]
Rahul Mishra and H.P. Gupta, "A Federated Learning Approach to Minimize Communication Rounds Using Noise Rectification" IEEE Wireless Communications and Networking Conference (WCNC), April 21 - 24, 2024 in Dubai, UAE (Accepted).
Rahul Mishra and H.P. Gupta, "A Model Personalization-based Federated Learning Approach for Heterogeneous Participants with Variability in the Dataset " ACM Transactions on Sensor Networks (Accepted).
Rahul Mishra and H.P. Gupta, ''Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation'', IEEE Transactions on Mobile Computing (Accepted).
R. Kumar, Rahul Mishra, H. P. Gupta, "A Federated Learning Approach with Imperfect Labels in LoRa-based Transportation Systems", IEEE Transactions on Intelligent Transportation Systems (Accepted).
Got student conference grant sponsored by the IEEE Communications Society (ComSoc), INFOCOM 2021 and 2022.
Title of Book: Design and Analysis of Algorithms
Author: Hari Prabhat Gupta and Rahul Mishra
Publisher and Year: AICTE as per National Education Policy (NEP), 2024.