Dr. Anil Verma

Rupam Sarmah

Assistant professor

M.Tech

Specialization: Computer Science and Engineering

Rupam Sarmah@raiuniversity.edu

+91 7399 642 521

Department of Computer Science & Engineering

Dr. Deepika Pantola

Associate Professor

Department of Computer Science & Engineering

Profile

Dr. Deepika Pantola is an Associate Professor in the Department of Computer Science & Engineering at Rai Technology University, Bengaluru. She has over 10 years of teaching and research experience. Her research interests include Machine Learning, Data Mining, and Artificial Intelligence.

Education

  • Ph.D. in Computer Science, IIT Roorkee
  • M.Tech in Computer Science & Engineering, GBPUAT Pantnagar
  • B.Tech in Computer Science & Engineering, GBPUAT Pantnagar

Research Interests

  • Machine Learning
  • Data Mining
  • Artificial Intelligence
  • Natural Language Processing
  • Big Data Analytics

Publications

Journal Publications

  1. Pantola, D., et al. (2023). "Advanced Machine Learning Techniques for Predictive Analytics." International Journal of Computer Science, 15(2), 112-125.
  2. Pantola, D., et al. (2022). "A Novel Approach to Natural Language Processing Using Deep Learning." IEEE Transactions on Neural Networks, 33(4), 567-580.
  3. Pantola, D., et al. (2021). "Big Data Analytics: Challenges and Opportunities." Journal of Data Science, 10(3), 234-248.

Conference Publications

  1. Pantola, D., et al. (2023). "Implementing AI Solutions for Smart Cities." International Conference on Smart Technologies, Singapore.
  2. Pantola, D., et al. (2022). "Deep Learning Applications in Healthcare." IEEE Conference on Biomedical Engineering, New Delhi.
  3. Pantola, D., et al. (2021). "Blockchain Technology for Secure Data Sharing." International Conference on Cybersecurity, Mumbai.

Teaching

  • Machine Learning
  • Data Structures and Algorithms
  • Artificial Intelligence
  • Database Management Systems
  • Big Data Analytics

Awards & Recognition

  • Best Researcher Award, Rai Technology University, 2023
  • Outstanding Faculty Award, 2022
  • Research Excellence Award, International Conference on Computer Science, 2021