Dr. Deepika M. P.

Dr. Deepika M. P.

Assistant Professor

Contact Info

  • deepika.mp@cusat.ac.in
  • Department of Computer Applications, Cochin University of Science and Technology
  • CUSAT IQAC Profile

Dr. Deepika M. P.

Dr. Deepika M. P. is an Assistant Professor in the Department of Computer Applications, Cochin University of Science & Technology, Kerala. She received her B.Tech., M.Tech. and Ph.D. degree from CUSAT. She received her Ph.D from Department of Computer Applications, CUSAT in 2020. In 2017, she was awarded “Young Scientist of the year 2017” by IOSRD (International Organization of Scientific Research and Development). In 2018, she won the title “Outstanding Women in Engineering (Specialization - Information Technology)” of the Venus International Women Awards-VIWA 2018. She has 14+ years of teaching experience along with numerous research articles published in peer-reviewed Journals and International Conferences. She is a research supervisor of Cochin University of Science and Technology under the Faculty of Technology. Her research interests include Number Theory, Cryptography, Visual Cryptography, Quantum Cryptography, Secret Sharing, Information Security. In addition, she is a member

Field Of Special Interest

Number Theory
Visual Cryptography
Quantum Cryptography
Secret Sharing
Information Security


Ph.D. Computer Science
M.Tech. Computer Science (Specialization in Software Engineering)
B.Tech. Information Technology


Assistant Professor
Department of computer applications, Cochin University of Science and Technology, Cochin, Kerala January 2022 to till date
Associate Professor
Kerala Technological University, Department of Computer Science and Engineering, ASIET, Kalady, Kerala-683574, India. 2010-2022
Calicut University, Department of Information Technology ,CUIET, Calicut University, Kerala- 673636, India 2006-2008
Junior Programmer
Indygenius Technology, Calicut, Kerala, India. 2005-2006


  • Biserial Targeted Feature Projection Based Radial Kernel Regressive Deep Belief Neural Learning for Covid-19 Prediction”, Soft Comput (2022).
  • “Various Credit Card Fraud Detection Techniques Based on Machine Learning”, International Journal of Knowledge Based Computer Systems (ISSN: 2321-5623), 2022.
  • "A Novel Model for Aligning Online Teaching-Learning and Evaluation with Bloom’s Taxonomy”, Design Engineering, pp. 4984-4995, Oct. 2021.
  • “DNA cryptography: New field of cryptography”, Journal of Network and Information Security, June 2018.
  • “Visual Cryptography Scheme Using Gray Code and XOR Operation”, International Journal of Current Engineering and Science Research (IJCESR), 2017.
  • Google Scholar Profile