Qualifications

• Ph.D. (Electrical Engineering) – Pursuing – Gauhati University
• M.E. (Electrical Engineering) – Assam Engineering College (2014)
• B.E. (Electrical Engineering) – Jorhat Engineering College (2012)

Academic Experience:

• 10 years 4 months (January 2015 – Present)

Research Interest:

• Power System, FACTS, Artificial Intelligence in Healthcare, Deep Learning

Paper publications in journals:

• National:
• Nilakshi Deka, Durlav Hazarika. An Approach for Improvement of Voltage Stability Condition of a Power System Using Combination of Power Flow Controllers. ADBU Journal of Engineering Technology, Vol. 9, No. 1, 2021.
• Smiti Dey, Nilakshi Deka, Durlav Hazarika. Power System Planning for Reduction in System Losses Using STATCOM and PSO Technique. Journal of The Institution of Engineers (India): Series B, Vol. 103, No. 4, pp. 1269–1281, 2022.
• Harsimran Singh, Bhawesh Agarwal, Nilakshi Deka. Waste Classifier for Sustainable Development with Image Recognition Using Convolutional Neural Network, 2025.
• Mittem Ratan, Debojit Nath, Nilakshi Deka. Detection and Identification of Ethnic Attires Using Deep Learning and GI Tags. 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), February 2025.
• International:
• Nilakshi Deka, Rashel Sarkar, Mohammad Asif Raibag, Samarjit Das, Anupam Das, Israfil Hussain. A Non-Classical Approach in Analyzing Student’s Performance in Academics Using Fuzzy Logic. Tuijin Jishu / Journal of Propulsion Technology, Vol. 44, No. 3, pp. 3542–3549, 2023.
• Israfil Hussain, Mohammad Asif Raibag, Rashel Sarkar, Nilakshi Deka. Performance Analytics of Classifiers: A Case Study with Diabetic Database. Tuijin Jishu / Journal of Propulsion Technology, Vol. 45, No. 2, 2024.
• Nilakshi Deka, Dr. Rashel Sarkar. Exploring the Role of Artificial Intelligence in Personalized Healthcare: From Predictive Diagnostics to Tailored Treatment Plans. Frontiers in Health Informatics, Vol. 13, No. 3, 2024.

Patent Published:

• “Plant Leaf Disease Detection using Computer Vision and Machine Learning Algorithms” – Patent Published, Application No. 202431001745, Published on 19/01/2024
• “Nano Particles Based Cancer Medication Device” – Patent Published, Application No. 202331085356, Published on 19/01/2024
• “A Hybrid Approach for Analysing Early-Stage Detection and Prevention of Lung Cancer Using Advanced Machine Learning and Deep Learning Algorithms” – Patent Published, Application No. 202331082502, Published on 15/12/2023
• “Deep Learning Model for Classification of Organic and Non-organic Images” – Patent Published, Application No. 202541027037, Published on 11/04/2025
• “Implementation of Pattern Recognition and Segmentation Techniques on Images of Retinal Scans for Faster Diagnoses and Better Tracking of Eye Disease Progression” – Patent Published, Application No. 202531030055, Published on 11/04/2025
• “Method and Apparatus for Improving Power Factor Correction in Switch-Mode Power Supplies” – Patent Published, Application No. 202541042923, Published on 30/05/2025

Books Chapter Published:

• Raibag, M. A., Gorikhan, I. A., Sarkar, R., & Deka, N. (2025). A critical investigation for detection of epileptic seizure using ensemble learning. 1st Edition. CRC Press, pp. 1–8. eBook ISBN: 9781003501367.