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DR. G. Jaculine Priya

ASSISTANT PROFESSOR IN ARTIFICIAL INTELLIGENCE (AI)

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

EXPERIENCE IN YEARS TEACHING/PRACTICE/INDUSTRY/RESEARCH:  12  years of teaching experience 3 Years Research

Publications:

·         Global Fraud Prevention Leveraging Artificial & Machine Learning Technologies – Scopus Indexed and AIP Conference Proceedings Volume No: 2523,020174 (2023)

·         Analysing and Classification of Attacks in Digital Era Using Machine Learning, Neuroquantoloy, 2022

·         Enhanced Random Forest Algorithm for Faster and Accurate Fraud Detection, GIS Science Journal, 2022

·         Fraud Detection and Prevention Using Machine Learning Algorithms: A Review – Scopus Indexed and IEEE 978-1-7281-7612-3/20 (2021)

·         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

Conference Presentations (National and International):

 

1.       5th Congress on Intelligent Systems (CIS 2024) 2024 held at Christ University Bangalore titled “Challenges and Gaps in Scene Text Detection and Recognition” A detailed Survey during September 04-05, 2024

2.       International Conference on Work Integrated Learning – 2024 held at BITS Pilani Hyderabad Campus titled “Gen AI: Education in the Age of Innovation, Benefits and future trends leveraging passion identification model” during 15-16 April 2024

3.       International Conference (ICEES-2020) by SSN College “Fraud Detection and Prevention Using Machine Learning Algorithms: A Review” on 13th February 2021 IEEE  978-1-7281-7612-3/20

4.        International Conference (ICePhaST – 2020) by SRM University “Global Fraud Prevention Leveraging Artificial & Machine Learning Technologies” on 17th November 2020 – ISBN 978-93-84136-20-8

5.        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

Books/Book Chapters:

1.       Book Chapter: Machine Learning for Information Extraction, Data Analysis and Predictions in the Healthcare System- Wiley Scrivener Publishing

2.       1st Author for the book named Understanding Cryptography ISBN: 978-81-965025-2-2

3.       1st Author for the book named Fundamentals of Python Programming ISBN: 978-81-969662-8-7

CONFERENCES/SEMINARS/WORKSHOPS/FDPS ATTENDED:
 

1.       Attended AICTE FDP on AI Evolution: From Foundations to Generative AI, 2024

2.       Attended 5 days FDP on Exploring New Frontiers in Teaching Tools, AI and Data Analytics by MEASI 2024

 

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

Primary Interests:

 

  • Artificial Intelligence

 

  • Gen AI

 

  • Computer Fraud & Security

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