Dr. RAJESH NAYAK

1. Rajesh Nayak and Jaidhar C D, “Anomalous Electrical Power Consumption Detection in
Household Appliances via Micro-Moment Classification,” IEEE Transaction on Artificial Intelligence,
IEEE. [Scopus and SCIE (Q1)] https://doi.org/10.1109/TAI.2025.3622104.
2. Rajesh Nayak and Jaidhar C D, “Enhancing Anomaly Detection in Critical Systems Using
Household Appliance Power Consumption Data,” IEEE Sensors Journal, 24, 17, 27677-27686 (2024).
[Scopus and SCIE (Q1)] https://doi.org/10.1109/JSEN.2024.3426090.
3. Rajesh Nayak and Jaidhar C D, “Data-driven models for electricity theft and anomalous power
consumption detection: a systematic review”, Applied Intelligence 55, 794 (2025). [Scopus and
SCIE (Q2)] https://doi.org/10.1007/s10489-025-06663-3
4. Rajesh Nayak and Jaidhar C D, “Employing Feature Extraction, Feature Selection, and Machine
Learning to Classify Electricity Consumption as Normal or Electricity Theft”, Recent Trends in
Computational Intelligence, SN Computer Science, 4, 483 (2023). [Scopus (Q2)]
https://doi.org/10.1007/s42979-023-01911-0.

1. Rajesh Nayak and Jaidhar C D, “Micro-Moment Classification for Anomalous Power Consumption
Detection using 1D CNN.” In 2023 Third International Conference on Secure Cyber Computing
and Communication (ICSCCC), IEEE, 97-102 (2023).
https://doi.org/10.1109/ICSCCC58608.2023.10176687
2. Rajesh Nayak and Jaidhar C D, “Classification of Micro-Moment-Based Anomalous Power
Consumption Using Transfer Learning.” In 2023 5th International Conference on Energy, Power
and Environment: Towards Flexible Green Energy Technologies (ICEPE), IEEE, 1-6 (2023).
https://doi.org/10.1109/ICEPE57949.2023.10201605
3. Rajesh Nayak and Jaidhar C D, “Experimental Study on Detection of Household Electrical
Appliance Energy Consumption Deviation,” accepted and presented in 3rd International Symposium
on Sustainable Energy and Technological Advancements (ISSETA 2024), held at NIT Meghalaya,
India, February 23-24, 2024.
4. Rajesh Nayak and Jaidhar C D, “QR Code-based Anomalous Power Consumption Detection,”
accepted and presented in International Conference on Industrial Engineering and Analytics
(ICONIEA 2024), held at IIT Kharagpur, February 16-18, 2024.
5. Rajesh Nayak and Jaidhar C D, “Smart Appliance Abnormal Electrical Power Consumption
Detection.” In: Andreoni, M. (eds) Applied Cryptography and Network Security Workshops. ACNS
2024. Lecture Notes in Computer Science, vol 14587. Springer, Cham.
https://doi.org/10.1007/978-3-031-61489-7 13 (Core B).
6. Rajesh Nayak and Jaidhar C D, “Experimental Study on Impact of Appliance ID-Based Normalization
on SimDataset for Anomalous Power Consumption Classification,” 17th International
Conference on Security of Information and Networks (SIN’24), 1-8, held at University of Technology
Sydney, 15 Broadway Ultimo, NSW Australia, December 02-04, 2024.
https://doi.org/10.1109/SIN63213.2024.10871753. (Core C).
7. Rajesh Nayak and Jaidhar C D, “POSTER: Electricity Theft Detection using Machine Learning,”
accepted and presented in 18th International Conference on Information and Systems Security
(ICISS) 2022, held at IIT Tirupati, December 16-20, 2022.
8. Rajesh Nayak., et. al, “Affordable Camera-Based Assistive Navigation System for Visually
Impaired Individuals.” In International Conference on Materials, Energy, Environment & Manufacturing
Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
(pp. 159-167). Atlantis Press. https://doi.org/10.2991/978-94-6463-762-5 15.
9. Rajesh Nayak., et. al, “State-level Power Consumption Forecasting using Machine Learning.”
4th International Conference on Data, Decision and Systems (ICDDS’25), to be held at the Indian
Institute of Information Technology, Dharwad, India, from December 4-6, 2025 (IEEE).(Accepted).
10. Rajesh Nayak., et. al, “AI-driven Dried Coconut Classification Using Computer Vision.” Second
International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and
Communications (COSMIC – 2025), to be held at Sahyadri College of Engineering and Management,
Mangalore, November 21-22, 2025 (IEEE).(Accepted)