FACULTY
Prof Minati has over 27 years of work experience. She was associated with BITS Pilani as Adjunct Professor for more than 15 years and with NMIMS, Mumbai for twelve years as an Assistant Professor. She spent 10 years in industry, excelling in Business Management, Customer/Content Support, and Training roles within the software and B2B infomediary sectors. She worked with NPIU (National Project Implementation Unit) – a World Bank assisted project under EdCIL (India) Limited as a Jr. Consultant.
Prof. Minati has a keen interest in teaching Data Mining, Machine learning, Deep Learning, Quantum Machine Learning and other business analytics courses. Her research interests lie in the areas which involves quantitative modelling using data mining, Machine Learning, Artificial Intelligence techniques in financial risk and other fields. Her Phd thesis is in the area of Quantum Computing and Machine Learning Modelling.
- A Quantum-Assisted Simulation: A Framework for Designing Machine Learning Models in the Quantum Computing Domain. https://arxiv.org/submit/5237494/view
- Adaptive Modelling Approach for Row-Type Dependent Predictive Analysis (RTDPA): A Framework for Designing Machine Learning Models for Credit Risk Analysis in Banking Sector. https://arxiv.org/submit/5237521/view
- Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy. https://arxiv.org/abs/2311.10375
- Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy. https://arxiv.org/abs/2311.10375