DEPARTMENT OF COMPUTER APPLICATIONS

Dr. Deepika M

Employee ID:2021048
Designation:Assistant Professor
Nature of Employment:Regular
Date of Joining:09.09.2021
Date of Birth:18.06.1987
Education Qualification Qualification:B.Sc, M.Sc, MCA, Ph.D.,
Contact No:8124520100
Email ID:deepika.ca@crescent.education

EDUCATIONAL QUALIFICATION

ProgrammeSpecializationYear of PassingInstitution / University
Ph.D.Computer Science2021Vels Institute of Science, Technology and Advanced Studies
P.GMCA2011Anna University
P.GM.Sc2011Madras University
U.GB.Sc2008Madras University

WORK EXPERIENCE

Name & Address of the EmployerPosition HeldPeriod of EmploymentTotal Exp. (in years and Months)
BCACISTAssistant Professor2021Till date4 Years and 5 months

RESEARCH DETAILS & CONTRIBUTIONS

RESEARCH AREA OF INTEREST

  • Medical Data Analysis
  • Machine Learning
  • Deep Learning

RESEARCHER ID

Research DatabaseIDLinks
SCOPUS59336290600https://www.scopus.com/authid/detail.uri?authorId=59336290600
ORCID0000-0003-0408-5083https://orcid.org/my-orcid?orcid=0000-0003-0408-5083
RESEARCH GATEM. Deepikahttps://www.researchgate.net/profile/M-Deepika
PUBLONSKVC-0485-2024https://www.webofscience.com/wos/author/record/KVC-0485-2024

RESEARCH SUMMARY

No. of Journal Publications No. of Conference Publications No. of Book / Book Chapter Published No. of Patents Published/Granted No. of Ph.D Scholars Guided No. of Ph.D Scholars Currently Guiding
BookBook ChaptersPublishedGranted
884342

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.