Biography
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.
- Anomaly Detection
- Deep Learning
- Unsupervised Representation Learning
MSc in Computer Science, 2021
Eindhoven University of Technology, The Netherlands
BTech in Information Technology, 2018
Government College of Engineering, West Bengal, India
Experience
Responsibilities include:
- Building a context-aware machine learning framework that can adapt to concept drift.
- Finding hidden patterns and interactions among more than 50 features.
- Dealing with the unbalanced dataset.
Responsibilities include:
- Performed an extensive literature review for emotion detection using facial expression.
- Implemented a hybrid CNN-LSTM model.
- Achieved an accuracy of 60% on CREMA-D and 54% on RAVDESS datasets.
- Tested the model in real-time using a live video feed via webcam.
Responsibilities include:
- Enhancement, support, and maintenance activity of the delivered processes.
- Responsible for 2 major clients having a total of 10,000+ employees.
- Worked on XML Publisher, approval workflow engine (AWE), and enhancements.
- Modify several SQR reports based on client requirements.
Publications
Contact
- sukanya.patra@umons.ac.be
- Bâtiment De Vinci, Av. Victor Maistriau 15, Mons, 7000