Assistant Professor

Dr Imandi Raju

Department of Computer Science and Engineering

Interests

  1. IoT
  2. Big Data Analytics
  3. Tiny Machine Learning

Education

2012

Vignan’s Institute Of Information Technology, Vishakpatnam
B.Tech.

2015

Anil Neerukonda Institute of Technology & Sciences, Vishakapatnam
M.Tech.

2025

Indian Institute of Information Technology, Sri City, Chittoor
Ph.D.

Professional Service

    Assistant Professor – VIGNAN’s Institute of Engineering for Women, Visakhapatnam

Research Interests

  • Fog-enabled UAV-as-a-Service (FU-Serve) Architectures for IoT
  • Intelligent Fog Node Selection and Resource Management
  • Federated and Decentralized Learning for Edge Intelligence
  • Tiny Machine Learning and Edge AI for Autonomous UAVs
  • Integration of Service-Oriented and Distributed AI Platforms

Publications

Journal Publications

  • Lewis Nkenyereye, Abhijeet Thakare, Priyanka Khataniar, Raju Imandi, and Pavan Kumar B N. Lightweight Authentication Protocol for Smart Grids: An Energy-Efficient Authentication Scheme for Resource-Limited Smart Meters. Mathematics, volume 13, page 580. MDPI AG, February 2025.
  • Raju Imandi, Arijit Roy, Kamalakanta Sethi, Pavan Kumar B N, and Mohsen Guizani. Con-Fog: Consensus-Driven Fog Node Selection in FU-Serve Platform for IoT Applications. Internet of Things Journal, page 1–1. Institute of Electrical and Electronics Engineers (IEEE), July 2025
  • Raju Imandi, Arijit Roy, Yong-Guk Kim, and Pavan Kumar B.N. Building sustainable federated learning models in Fog-enabled UAV-as-a-Service for aerial image classification. Sustainable Computing: Informatics and Systems, volume 46, page 101133. Elsevier BV, June 2025.
  • Imandi Raju et.al, “Malicious E-Mail Detection using Artificial Neural Networks”, TEST Engineering & Management magazine, ISSN: 0193-4120, Volume 83, Issue-5, Page No. 16554 - 16566, March - April 2020.
  • Imandi Raju et.al, “Analysis of student academic performance leading technology using classification algorithms”, Journal of Critical Reviews, ISSN: 2394-5125, Volume 7, Issue-19, pp. 7251-7259, Sep 2020.
  • Imandi Raju et.al, “Performance Evaluation of Machine Learning Algorithms for Disease Prediction”, International Journal of Advanced Science and Technology, ISSN: 2005-4238, Volume 29, Issue-7, pp. 7820-7830, June 2020.
  • Imandi Raju et.al, “An Optimal Approach of Initial Centroid Selection for Effective Clustering”. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-5 March 2019.

Conferences

  • Pavan Kumar B N, Chethana B, Raju Imandi, Bharatesh Chakravarthi, and Gyanendra Prasad Joshi. Advancing Autonomy: LiDAR-Powered Human Detection and Tracking for Safe and Efficient Systems. In the 3rd International Conference on Mechatronics, Control and Robotics (ICMCR), pages 80–84, Feb, 2025.
  • Raju Imandi, Chethana B, Abhijeet Thakare, Pavan Kumar B N, Gyanendra Prasad Joshi. Beyond Frames: The Future of Object Detection and Tracking with Event Cameras. In the 14th International Conference on Advanced Engineering and ICT-Convergence, Feb, 2025.
  • Raju Imandi, S. Manipriya, Gyanendra Prasad Joshi, Pavan Kumar B N. EcoRoute: Energy-Efficient UAV Path Optimization Using Federated Reinforcement Learning. In the 11th International Conference on Advances in Artificial Intelligence, Information and Communication Technology, and Digital Convergence, June 2025.
  • Imandi Raju and Arijit Roy. FU-Serve: Fog-Enabled UAV-as-a-Service for IoT Applications. In IEEE Global Communications Conference, page 6401–6406. IEEE, December 2023.
  • Bharatesh Chakravarthi, Prabhu Prasad B M, Raju Imandi, and Pavan Kumar B N. A comprehensive review of leap motion controller-based hand gesture datasets. In International Conference on Next Generation Electronics (NEleX), pages 1–7, 2023.
  • D Shetve, I Raju, R Vara Prasad, R Trestian, H Nguyen, and H Venkataraman. Adaptive N-Step Technique for Real-Time Anomaly Detection in Smart Manufacturing. In 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS), pages 01–06. IEEE, 2022.
  • Durgesh Kusuru, Raju Imandi, Anish Chand Turlapaty, Mainak Thakur, et al. A Gaussian Gamma mixture model for Indian Ocean surface wind speed. In OCEANS 2022-Chennai, pages 1–5. IEEE, 2022.
  • Imandi Raju and Pritee Parwekar. Detection of sinkhole attack in wireless sensor networks. In Proceedings of the Second International Conference on Computer and Communication Technologies: IC3T 2015, Volume 3, pages 629–636. Springer India, 2016.

Book Chapters:

  • R. Imandi, C. B., P. P. B. M., Y. G. Kim, and P. K. B. N., “Innovative Healthcare Metaverse, Explainable AI, and Blockchain Paradigm Shift,” Examining the Metaverse in Healthcare, pp. 197–220, Jun. 2024, doi: 10.4018/979-8-3693-1515-6.ch008.

Contact Details

E-mail id: raju.v@srmap.edu.in

TOP