Machine Learning and Statistical Inference Laboratory 

We are currently working on developing different theoretical foundations for machine learning, such as

➡️ Multilabel learning, Federated Learning, Statistical Learning, Deep Learning

➡️ Extensions of Twin Support Vector Machines for segmentation, recognition, regression, clustering and classification

➡️ Learning in the presence of a noisy environment or partial supervision

➡️ The efficient semi-supervised framework and its application on Biological Data

➡️ Robust Feature Selection Technique for Large Scale Data

For more information on our projects, see our research page.

If you want to work with us, please follow the instructions here.

The ML-SI Laboratory was established in 2014 by Dr Reshma Rastogi. Since then, we have been committed to conducting cutting-edge research and training the next generation of machine learning experts.

Currently, we have five PhD students and four MSc students working in our laboratory, each pursuing their unique research project in areas such as Federated Learning, Multi-label Learning, Semi-Supervised framework for Biological Data, Robust Feature Selection Technique for Large Scale Data, Extension of Twin SVM, and Deep Learning. To date, we have trained four PhD students and 20+ MSc students who have gone on to successful careers in academia, industry, and government.

Our research has been published in various international scientific journals, including IEEE Transactions on Neural Networks and Learning Systems,  Knowledge-Based Systems, Information Science etc.

We have also presented our work at numerous conferences around the world, including the International Conference on Computational Mathematics and its Applications (CMA-2019), Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, International Conference on Computer Vision and Image Processing: CVIP 2016,  International Conference on Advances in Pattern Recognition (ICAPR 2015) etc.

In total, we have published 60+ International Journal Papers and International Conference Papers.

• [NEW]  07 April 2024,  Dr Reshma Rastogi, Associate Professor, DCS, delivered the Guest Lecture as part of lecture series on Machine Learning on the topic "Mathematics Behind Machine Learning" at Lady Shri Ram College, University of Delhi."

• 18 April 2023,  Dr Reshma Rastogi, Associate Professor, DCS, delivered a talk on "MACHINE LEARNING TECHNIQUES" at the Department of Mathematics, Satyawati College, University of Delhi."

• 13-15 April 2023,  Dr Reshma Rastogi, Associate Professor, DCS, delivedeliveretor, DCS, deliviverCS, delide on "Support Vector Machines and Associated Loss Functions” at the "International Symposium on Optimization Theory and its Applications (ISOTA 2023)" organised by Thapar University, Patiala.
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