Riya Sharma

Ms. Riya Sharma is an academician and researcher specializing in data-driven battery intelligence and sustainable mobility technologies. She is currently pursuing her Ph.D. in Computer Science and Engineering at Thapar Institute of Engineering and Technology, focusing on machine learning-based approaches for predicting the health and performance of electric vehicle batteries.

She holds an M.E. in Computer Science from Thapar Institute of Engineering and Technology and a B.Tech. (Hons.) in Computer Science from Jaypee University of Information Technology.

Her work integrates computational modeling, intelligent systems, and applied analytics to contribute to advancements in electric mobility and energy systems.

Ms. Riya Sharma previously served as Assistant Professor (Contractual) at Thapar Institute of Engineering and Technology from January 2024 to June 2025. Prior to this, she worked as a Junior Research Fellow from May 2022 to December 2023 on a Ministry of Electronics and Information Technology (MeitY), Government of India funded project.

Her work involved model development, data analysis, and research execution in battery analytics and intelligent systems.

Machine Learning | Predictive Analytics | Deep Learning | Intelligent Battery Management Systems | Electric Vehicles | Sustainable Mobility | Data Science

Ms. Riya Sharma emphasizes clarity of concepts, analytical thinking, and experiential learning. Her teaching approach integrates foundational knowledge with real-world applications and computational problem-solving.

Through case-based learning, interactive discussions, and guided experimentation, she fosters a collaborative environment that encourages students to become confident problem-solvers and researchers.

Programming Essentials for AI/ML | Computer Graphics | Test Automation | Research Methodology in Computer Science

<p>
   Junior Research Fellow (May 2022 – December 2023), Ministry of Electronics and Information Technology (MeitY), Government of India.
</p>

Ms. Riya Sharma has contributed to research in electric vehicle battery analytics through journal publications and Scopus-indexed conference papers. Her work focuses on battery degradation analysis and predictive modeling using machine learning and deep learning techniques.

She has mentored undergraduate students in research projects and academic coursework, promoting structured research methodologies and technical proficiency. Her scholarly work reflects a commitment to advancing intelligent energy systems and sustainable mobility solutions.

riya.sharma@ddn.upes.ac.in