Mr. Rajesh Nayak

1. 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].https://doi.org/10.1007/s42979-023-01911-0.
2. Rajesh Nayak and Jaidhar C D, “Enhancing Anomaly Detection in Critical Systems
Using Household Appliance Power Consumption Data”, IEEE Sensors Journal, IEEE
[Scopus and SCIE].

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, “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.

6. 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)