Biography

Dr. Renu Saraswat holds a Ph.D. in Mathematics from Shiv Nadar Institution of Eminence, specializing in Deep Learning and Artificial Intelligence applications, along with an M.Phil. and M.Sc. in Mathematics. With over 7 years of experience as an Assistant Professor, she has taught diverse courses such as Engineering Mathematics, Numerical Techniques, Calculus, and Linear Algebra. She is also actively involved in mentoring students, developing curriculum, and guiding academic projects.

Her research integrates mathematical modeling with data science and AI, with a focus on deep learning, multimodal machine learning, AutoML, and time series forecasting. Her doctoral work developed advanced multimodal AI frameworks for stock market prediction, combining mathematical rigor with data-driven approaches to achieve superior forecasting performance. She is also deeply interested in explainable AI, transformer architectures, and the societal applications of intelligent systems.

Dr. Saraswat has published in reputed international journals and contributed to the advancement of financial prediction through AI-driven models. She is proficient in Python, MATLAB, and R, with expertise in TensorFlow, Keras, and other machine learning libraries. Her academic interests also extend to applying AI in diverse domains where complex data interactions demand innovative solutions.

As a teacher and researcher, she emphasizes bridging theoretical foundations of mathematics with practical applications in data science and artificial intelligence, preparing students for emerging challenges in technology and research.