Ms. Devshri Oza

Designation: Teaching Assistant

Biography:

Ms. Devshri Oza is currently serving as a Teaching Assistant in the Department of Computer Science at Adani University. She is pursuing her Ph.D. at Nirma University, with her research focusing on advanced Deep Learning and Machine Learning techniques, particularly in the areas of Sentiment Analysis, Fake News Classification, and Text Classification. Her research work is aimed at developing intelligent models capable of understanding human language, detecting misinformation, and enhancing automated decision-making systems.

She holds a Master of Engineering (M.E.) degree from B.H. Gardi College of Engineering & Technology and a Bachelor of Engineering (B.E.) degree from C.U. Shah College of Engineering & Technology.

Prior to joining Adani University, Ms. Oza served as an Assistant Professor at SAL Institute of Technology & Engineering Research, Swarrnim Startup & Innovation University, and C.U. Shah College. During her academic career, she has actively contributed to academic development through innovative teaching methodologies, ERP coordination, and effective curriculum planning and execution.

  • Ph.D. Pursing from Nirma University
  • M.Tech. Computer Engineering- GTU
  • B.Tech. Computer Engineering – GTU

  • Assistant Professor- SAL Institute of Technology & Engineering Reseach (2022-2023)
  • Assistant Professor, Swarrnim Startup & Innovation University (2019-2020)
  • Assistant Professor, C. U. Shah College of Engineering and Technology (2017-2019)

  • Sentiment Analysis
  • Artificial Intelligence
  • Machine Learning
  • Fake News Classification

  1. Thakkar, Ankit, and Devshri Pandya. “DeepFusionSent: A novel feature fusion approach for deep learning-enhanced sentiment classification.” Information Fusion 118 (2025): 103000.

  1. Thakkar, A., & Pandya, D. (2023), Sentiment Analysis of Self Driving Car Dataset: A comparative study of Deep Learning approaches, International Conference on Machine Learning and Data Engineering (ICMLDE 2023)
  2. Integrating Deep Learning Techniques for Enhanced Stock Price Prediction, International Conference on Computational Intelligence (ICCI 2023)
  3. Sharma, Vrajesh, Yug Limbachiya, and Devshri Oza. “Empowering Text Classification with Agentic AI: A Systematic Review.” 2025 International Conference on Artificial Intelligence and Machine Vision (AIMV). IEEE, 2025.