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DR. G. Jaculine Priya


QUALIFICATION & SPECIALIZATION: B. C. A., M. C.A., M.Phil. in Computer Science, Ph.D. in Computer Science (Artificial Intelligence (AI) & Machine Learning (ML))


Dr. G. Jaculine Priya is an Assistant Professor at LIBA with a specialization in Machine Learning (ML) and Artificial Intelligence (AL) applied in the field of digital fraud detection. She has 11 years of teaching experience. Her research interests include computer fraud and security. She has published numerous papers in Scopus, IEEE, and UGC journals, authored, contributed to, and published books, including: 1. Understanding Cryptography 2. Machine Learning (ML) for information extraction in the health care domain. She has participated in and presented at various National and International conferences, enabling research scholars to understand the latest and greatest in technology evolution. She is very passionate about making a difference in every student’s career by dedicating herself to academia. She has also enriched her knowledge by participating in corporate training programmes geared towards leveraging new techniques and innovation in academia. Some of the training programmes she attended are:


  • Mission 10x” to enhance innovation in education through various teaching methodologies, by WIPRO Technologies
  • “Teachers-Learners Induction Program” conducted by IIT Madras to implement new teaching methodologies, framing assessment and evaluation plans, and accreditation processes.
  • She received the Best Women Faculty Award in 2022 from Ransom Educational and Social Trust.

Educational Details

Dr. G. Jaculine Priya has a B.C.A. degree from Holy Cross College in Trichy, M.C.A. degree from Periyar Maniammai Institute of Technology—Thanjavur, M.Phil. in Computer Science from Madurai Kamaraj University, and a Ph.D. in Computer Science (Specialization: AIML) from Vels University.

  1. Authored book “Understanding Cryptography” by AN Publications, 2023.
  2. Global Fraud Prevention Leveraging Artificial & Machine Learning Technologies – Scopus Indexed and AIP Conference Proceedings Volume No: 2523,020174 (2023)
  3. Analysing and Classification of Attacks in Digital Era Using Machine Learning, Neuroquantoloy, 2022
  4. Enhanced Random Forest Algorithm for Faster and Accurate Fraud Detection, GIS Science Journal, 2022
  5. A Hand book on Intelligent Health Care Analytics: IHCA-2021 “Machine Learning for Information Extraction, Data Analysis and Predictions in Healthcare System” -Book Chapter by Scrivener Publishing – Wiley May 2022.
  6. Fraud Detection and Prevention Using Machine Learning Algorithms: A Review – Scopus Indexed and IEEE 978-1-7281-7612-3/20 (2021)
  7. International E-Conference on Advances in Information Technology ICAIT-2020 Organized by BIHER “Real Time Global Fraud Detection and Prevention” on 25th & 26th June 2020. ISBN: 978-93-5407-796-8
  • Artificial Intelligence (AL)
  • Machine Learning (ML)
  • Computer Fraud & Security

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