Machine Learning and Statistical Inference Laboratory 

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

➡️ Multi-label 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 three 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, Pattern Recognition etc.

We have also presented our work at numerous conferences around the world, including the International Conference Pattern Recognition (ICPR-2024), CODS-COMAD'2024, 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 70+ International Journal Papers and International Conference Papers.

•  NEW  [Feb 2025]: Shuvo and Sayanta successfully defended their PhD Synopsis! 

•  NEW  [Feb 2025]: Exciting new events focusing on Quantum Technology and Optical Networking will be taking place. For further information, please visit our event page.

• [Jan 2025]: The publications of ICPR 2024 are now accessible online. Congratulations to Dr Sanjay, Sambhav, Mamta, Sayanta, and Dev on their effort and successful publication!

• [Dec 2025]: The paper titled "Entropy Dependency-based Unsupervised Feature Selection", has honored with the Best Paper Award at ICMLDE-2024!

• [Sep 2024]: Sanjay Kumar successfully defended his PhD. Congratulations to Dr Sanjay on this remarkable achievement!

• [Sep 2024]: One paper was accepted at the @CODS COMAD-2024 conference! 🎉

• [August 2024]: A total of six papers were accepted at the @ICPR-2024 conference! 🎉
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