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Dr. Supriya Saxena

DR. SUPRIYA SAXENA

Assistant Professor
Profile

Dr. Supriya Saxena is a dedicated academician and researcher with a strong background in computer science and engineering and over five years of teaching experience. She holds a Ph.D., M.Tech, and B.Tech Degree in Computer Science and Engineering, and is currently serving as a faculty member at JSS University, Noida. Her academic interests encompass Database Management Systems, Software Engineering, Data Structure, Python Programming, Machine Learning, and Deep Learning. Dr. Saxena combines theoretical rigor with practical insight to ensure students grasp core computing concepts effectively and apply them to real-world challenges. A passionate educator and researcher, she actively explores the fields of Artificial Intelligence, Machine Learning, and Deep Learning—focusing on intelligent systems, recommender models, and data-driven innovations for web usage mining. She remains committed to advancing technology education through continuous learning, research, and mentorship.

Email

Email Id

supriya.saxena@jssuninoida.ac.in
LinkedIn

LinkedIn Profile

www.linkedin.com/in/dr-supriya-saxena-685297298/
Education
  • Ph.D in Computer Science and Engineering
  • M.Tech in Computer Science and Engineering
  • B.Tech in Computer Science and Engineering
Teaching
  • Database Management Systems (DBMS)
  • Software Engineering
  • Data Structures
  • Python Programming
  • Machine Learning
  • Deep Learning
  • Computer Architecture
Awards & Recognition
  • Recognized for excellence in teaching and mentoring at JSS Academy of Technical Education, Noida.
  • Presented research papers in IEEE and Springer-sponsored international conferences.
  • Contributed to emerging domains of AI-driven recommender systems and intelligent data analysis.
Social Engagement
  • Dr. Supriya Saxena actively participates in academic and institutional initiatives that foster research, innovation, and holistic student development. She encourages students to engage in project-based learning, research writing, and hackathons. With a commitment to academic integrity and lifelong learning, she aims to inspire young technologists to innovate ethically and contribute to societal growth through technology.
Research
  • Dr. Supriya Saxena’s research interests include web mining, recommender systems, and machine learning-based personalization models. Her scholarly work explores modern recommender frameworks leveraging neural networks, artificial intelligence, and deep learning. She has published and presented her research in multiple IEEE and Scopus-indexed conferences and journals.
  • Web Usage Mining and Recommender Systems
  • Machine Learning and Deep Learning Applications
  • Artificial Neural Networks (ANN)
  • Large Language Models (LLMs) in Data Analysis
  • Sentiment-Enriched Web Data Processing
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