DEPARTMENT OF COMPUTER APPLICATIONS

Dr. Deepika

Designation:Assistant Professor
Nature of Employment:Regular
Date of Joining:09.09.2021
Qualification:B.Sc, M.Sc, MCA, Ph.D
Email ID:deepika.ca@crescent.education

Education

DegreeDisciplineYear of PassingUniversity
Ph.DComputer Science2021Vels Institute of Science Technology and Advanced Studies (VISTAS)
MCAComputer Science2011Anna University (Part Time)
M.Sc.Computer Science2011Madras University
B.Sc.Computer Science2008Madras University

Academic Experience

Company / Organization / InstitutionDesignationPeriodExperience in Years
B.S.Abdur Rahman Crescent Institute of Science and TechnologyAssistant Professor9.9.2021 to Till Date 

Research

Area of Interest

  • Data Mining
  • Machine Learning
  • Database Management Systems
  • Computer Networks

Research Summary

Journal Article PublishedPublished papers in International Journals
International Conference Papers Published5 Papers in International Conference
Book chapters PublishedChapters are published in reputed books

Research Publications

International Conferences

  • Dr. K. Kalaiselvi and M. Deepika, “Reviews on Cultural Algorithm”, International Conference on Knowledge Discovery and Computational Intelligence (ICKDCI) 2017, Issue-04, pages:450-456. (Scopus Indexed)
  • M. Deepika and Dr. K. Kalaiselvi, “Heuristic knowledge discovery for medical data using cultural algorithm”, 4th International Conference on Cyber Security (ICCS) 2018, ISSN 2460 4010, Abstracted and indexed in ElsevierSSRN.
  • M. Deepika and K. Kalaiselvi, “A Empirical study on Disease Diagnosis using Data Mining Techniques”,  2018, Second International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2018, ISBN: 978-1-5386-1974-2, (Scopus Indexed)
  • M. Deepika and K. Kalaiselvi, “Medical Data Mining –Needs, Methods and Applications”, International Conference on Contemporary Researches in Engineering, Science, Management and Arts (ICCRESMA) 2020, ISBN: 978-93-8915-06-0.
  • M. Deepika, “A Prognostic Thyroid disorder analysis based on Thyroid Test Measure with ECG”, International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2021, ISBN:978-1-7281-5792-4, (Scopus Indexed)
  • D. Karthika, M. Deepika, N. Radwan and A. H. Al-Kassem, “Genetic Algorithm-Based Feature Selection and Self-Organizing Auto-Encoder (SOAE) For SNP Genomics Data Classification,” 2022 International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates, 2022, pp. 1-6, doi: 10.1109/ICCR56254.2022.9995974. (Scopus Indexed)

International Journals

  • M. Deepika and Dr. K. Kalaiselvi, “Interactive Knowledge discovery using agent based Cultural Algorithm for Thyroid classification”, Journal of Advanced Research in Dynamical and Control Systems, volume – 11 2019, Issue – 04, (Scopus Indexed).
  • M. Deepika and Dr. K. Kalaiselvi, “Classification of Hypo-Hyper Thyroid based on Heart rate, QRS duration and Thyroid test measure using Data Mining Techniques”, European Alliance for Innovation (EAI), Energy Web, 01 2021 – 03 2021 | Volume 8 | Issue 32 (Scopus Indexed).
  • M. Deepika and K. Kalaiselvi, “A Review On Methods And Applications In Managing Medical Data Using Machine Learning”, 2020, Alochana Chakra Journal (ACJ) ISSN 2231-3990, (UGC-CARE-LIST 1).
  • Deepika, M., and K. Kalaiselvi. “A Contemplative Analysis of Thyroid Disorders based on ECG Signal and Thyroid Test Measure.” EAI Endorsed Transactions on Energy Web 8, no. 32 (2020) (Scopus Indexed).
  • Karthika, D., and M. Deepika. “A Review of Deep Learning Healthcare Problems and Protection Supports.” ICT Analysis and Applications: Proceedings of ICT4SD 2022 (2022): 409-416. (Springer Link)
  • Deepika, M., and D. Karthika. “A Study of Emerging IoT Technologies for Handling Pandemic Challenges.” In Information and Communication Technology for Competitive Strategies (ICTCS 2021) ICT: Applications and Social Interfaces, pp. 485-494. Singapore: Springer Nature Singapore, 2022.

National Journal

  • Deepika M , “Development of Smart Grid using Machine Learning methods for Smart Cities”, Rabindra Bharati Journal of Philosophy, UGC CARE Group 1.

Book Chapters

  • K. Kalaiselvi and M. Deepika, published book chapter, “Machine Learning for Healthcare Diagnosis”, Machine Learning with Healthcare Perspective, Learning and Analytics in Intelligent Systems 13, 2020, ISBN: 978-3-030-40850-3, (Springer).
  • M. Deepika and Dr.K.Kalaiselvi, published book chapter, “Machine Learning Based Data Analysis”,Machine Learning Approach for Cloud Data Analytics in IoT, ISBN: 978-1-119-78580-4, (Wiley Publications-Scopus Indexed).
  • M. Deepika, published a book chapter titled, “Introduction to Mobile Computing”, for the book Hand Book on Latest Trends in Online Learning”. ISBN: 978-93-90956-37-1. April 2021.