|
| Designation | : | Assistant Professor |
| Nature of Employment | : | Regular |
| Qualification | : | B.Sc, M.Sc, MCA, Ph.D |
| Phone | : | +91-8124520100 |
| Email ID | : | deepika.ca@byt.digital/wordpress/crescent |
Education
| Degree | Discipline | Year of Passing | University |
|---|---|---|---|
| Ph.D | Computer Science | 2021 | Vels Institute of Science Technology and Advanced Studies (VISTAS) |
| MCA | Computer Science | 2011 | Anna University (Part Time) |
| M.Sc. | Computer Science | 2011 | Madras University |
| B.Sc. | Computer Science | 2008 | Madras University |
Academic Experience
| Company / Organization / Institution | Designation | Period | Experience in Years |
|---|---|---|---|
| B.S.Abdur Rahman Crescent Institute of Science and Technology | Assistant Professor | 9.9.2021 to Till Date |
Research
Area of Interest
- Data Mining
- Machine Learning
- Database Management Systems
- Computer Networks
Research Summary
| Journal Article Published | Published 3 papers in International Journals |
|---|---|
| International Conference Papers Published | 5 Papers in International Conference |
| Book chapters Published | 3 chapters 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 Elsevier – SSRN.
- 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)
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).
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.
