Dr. Krishnapriya
About
Research Area
Dr. G. Krishnapriya is currently serving as an Assistant Professor in the Department of Computer Science. She holds a Ph.D. in Computer Science and brings over 14 years of academic experience to her role. Her areas of interest include Data Mining, Artificial Intelligence, and Software Engineering. She has published several research papers in reputed national and international journals and conferences. Throughout her career, she has demonstrated a strong commitment to teaching and student mentorship, guiding various academic projects and contributing actively to curriculum development. she has demonstrated a profound commitment to student development, both within and beyond the classroom. In addition to her teaching responsibilities, she has successfully coordinated numerous academic initiatives, workshops, lecture series, and technical festival, aimed at bridging the gap between theoretical knowledge and practical application enhancing the employability and industry-readiness of students. Her interest in these initiatives reflects a clear vision for student empowerment and holistic development.
Notable & Recent Publications
Dr.G.Krishnapriya,“ Identifying Suspicious Money Laundering Transaction Based On Collaborative Relational Data Screening Model Using Decision Classifier In Transactional Database”, Journal of Critical reviews, Feb 2020, Vol. 7, Issue 4, pp. 268-274 (IMPACT FACTOR :1.27)
Dr.G.Krishnapriya, “Identifying Crime Financial Activities on Money Laundering Using Discriminant Data Flow Analysis Based on Activity Support Vectors in Transactional Log”, Journal Of Advanced Research In Dynamical & Control Systems , February 2020, Vol. 12, 03-Special issue, pp. 864-875 (IMPACT FACTOR :0.41)
G. Krishnapriya, “Multi Model Approach for Money Laundering Identification Using Fund transition Matrix”, International Journal of Science and Research (IJSR), August 2014, Vol. 3, Issue 8, pp. 1671-1674. (IMPACT FACTOR: 3.358)
G. Krishnapriya, “Identifying Money Laundering Groups In Multi Mode Network Using Data Mining”, International Journal of Enhanced Research in Science Technology & Engineering (IJERSTE), May 2014, Vol. 3, Issue 5, pp. 291-295. (IMPACT FACTOR: 1.252).
G. Krishnapriya, “Money Laundering Analysis Based On Time Variant Behavioral Transaction Patterns Using Data Mining”, Journal of Theoretical and Applied Information Technology (JATIT), Sep 2014, Vol. 67, No. 1, pp. 12-17. (IMPACT FACTOR: 1.024).