Skip to main content
Suomeksi

Subhajit Chatterjee

Postdoctoral Research Fellow
Faculty of Engineering and Natural Sciences | Automation Technology and Mechanical Engineering
Tampere University
subhajit.chatterjee [at] tuni.fi (subhajit[dot]chatterjee[at]tuni[dot]fi)
+358504668830
Hervanta Campus
https://orcid.org/0000-0003-1648-6095

About me

I am a Postdoctoral Research Fellow in Machine Learning and Renewable Energy Systems. I am also a member of the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group, which is part of the Dependable Systems Cyber Laboratories. My research disciplines on Artificial Intelligence on critical aspects of federated learning, condition monitoring.

Responsibilities

My research focuses on applying Artificial Intelligence to critical areas, including federated learning and condition monitoring, to develop robust and intelligent systems that ensure operational safety and reliability. I specialize in creating scalable and advanced machine learning techniques for distributed energy systems, with a focus on advanced fault detection and resilience against potential downtime. Additionally, I have worked with GAN-based synthetic data generation techniques to address data scarcity and imbalance problems, enabling more effective and accurate AI models. By integrating cutting-edge AI methodologies, my work aims to optimize the performance and reliability of renewable energy systems, contributing to sustainable advancements in critical areas.

Fields of expertise

  • Machine learning
  • Generative AI
  • Condition monitoring
  • Anomaly detection
  • Federated learning

Research topics

  • Machine Learning
  • Generative AI
  • Condition Monitoring
  • Data Resampling
  • Anomaly Detection
  • Predictive Modeling

Latest publications

All publications