St. Thomas' College of Engineering & TechnologyApproved by AICTE, New Delhi & Affiliated to MAKAUT, W.B

Sayanee Das

Electrical Engineering | EE
Assistant Professor

Area of Specialization

  • Power System
  • Power System Protection and Control
  • Intelligent Control
  • Data-driven Control
  • Machine Learning

Teaching Experience

2 Months

Academic Qualifications

Ph.D.: IIEST (Pursuing)

M.Tech.: NIT Manipur, 2020

Date of Joining 02-12-25

Conference Publications:

  1. Das, S. and Adhikari, S., 2020, December. Fuzzy logic based fault detection and classification in Unified Power Quality Conditioner (UPQC)-compensated distribution line. In 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)(pp. 1-5). IEEE.
  2. Das, S. and Chattopadhyay, P., 2023, November. Data-Driven Inertia Estimation of Power Systems using Autoencoder-based Unsupervised Feature Learning. In 2023 IEEE 3rd Applied Signal Processing Conference (ASPCON)(pp. 222-226). IEEE.
  3. Kar, S., Das, S. and Chattopadhyay, P., 2023, October. Improved forecasting of electric vehicle charging load using neural architecture search. In 2023 7th international conference on computer applications in electrical engineering-recent advances (CERA)(pp. 1-6). IEEE.

 

Book Chapter Publications:

  1. Das, S. and Chattopadhyay, P., Learning in Load Frequency Control for Stochastic Power Systems with Renewable Energy Integration. Innovations in Energy Management and Renewable Resources, p.1.