Sumitra Iyer, Ph.D.

Education

Ph.D., Nirma University (doctoral research in machine learning; exact degree title to be confirmed)
M.Tech., Data Science Engineering, Birla Institute of Technology and Science (BITS) Pilani
M.S., Data Science, Liverpool John Moores University
Additional graduate study in information technology, physics, and electronics

Biography

Dr. Sumitra Iyer is an educator, researcher, and data science specialist with more than two decades of experience in higher education and industry. She earned a Ph.D. from Nirma University in India, where her doctoral research focused on machine learning, and holds advanced degrees in Data Science Engineering, Data Science, Information Technology, Physics, and Electronics. Her teaching and research interests span artificial intelligence, machine learning, natural language processing, data mining, mathematical modeling, business analytics, and applied analytics for scientific forecasting. Her scholarly work includes predictive modeling of ionospheric behavior and the application of advanced analytical methods to improve forecasting accuracy in complex environments. With an interdisciplinary background that combines computational science and practical problem solving, she helps students understand how emerging technologies can be applied to address real-world business and scientific challenges while promoting responsible, evidence-based decision-making.

Selected Publications

• Machine learning based method for dynamic forecasting of total electron content in the equatorial ionosphere (2025)
• Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region (2021)
• Modeling the Total Electron Content variation in the Ionosphere for Improved Positional Accuracy (IEEE, 2020)