Sukanya Patra
Sukanya Patra

PhD Candidate

About Me

Sukanya Patra is a PhD candidate at the Big Data and Machine Learning Lab at the University of Mons advised by Souhaib Ben Taieb. Her research interests lie in exploring the theory of deep learning and its applications, focusing on problems related to image data. Presently, her research is centred around deep anomaly detection. Her work focuses on developing novel anomaly detection methods that can address some of the most challenging aspects of industrial applications, which include tackling non-stationarity in data and working with limited, weak labels. Prior to the current position, she received a Master’s degree in Data Science from the Eindhoven University of Technology.

Interests
  • Anomaly Detection
  • Deep Learning
  • Unsupervised Representation Learning
Education
  • MSc Computer Science

    Eindhoven University of Technology

  • BTech Information Technology

    West Bengal University of Technology

Publications
(2024). Anomaly detection with semi-supervised classification based on risk estimators. Transactions on Machine Learning Research.
(2024). Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
(2024). Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection. Transactions on Machine Learning Research.
(2023). Anomaly detection in irregular image sequences for concentrated solar power plant. The European Symposium on Artificial Neural Networks.
Contact

University of Mons
Bâtiment De Vinci, Av. Victor Maistriau 15,
7000 Mons, Belgium