Dr. Diana Juliet S

Dr. S. Diana Juliet, Assistant Professor, is a faculty member in the Division of Computer Science and Engineering at Karunya Institute of Technology and Sciences. She holds a Ph.D. in Computer Science and Information Engineering from Anna University, Chennai, completed in June 2026. She also holds an M.E. in Computer Science and Engineering from Anna University, Tiruchirappalli, with a CGPA of 7.6, and a B.E. in Computer Science and Engineering from Anna University, Chennai, with 81%. She also holds a Diploma in Computer Technology with 88% from the Department of Technical Education.

Her research interests include Artificial Intelligence and Machine Learning, Deep Learning, Medical Image Processing, Healthcare AI, and Predictive Analytics. Her teaching interests include Foundations of Data Science, Data Science and Analytics, Data Exploration and Visualization, Big Data Analytics, Python Programming, Object-Oriented Programming, Computer Programming, Human Computer Interaction, Data Structures, and Operating Systems. She has been associated with Karunya Institute of Technology and Sciences as an Assistant Professor since July 2026, following more than 14 years of teaching experience as an Assistant Professor at C.S.I. Institute of Technology, Thovalai, Kanniyakumari, from January 2012 to July 2026.

Dr. S. Diana Juliet has contributed 2 international journal publications and 1 international/national conference publication, with 3 Scopus citations, 3 Google Scholar citations, and an h-index of 1. Her scholarly contributions include the book AI-Based Image Processing: Principles, Models, and Computational Techniques, published by San International Scientific Publications in 2026, and the book chapter Deep Learning for Visual Recognition and Intelligent Image Analytics, also published in 2026. She is also associated with a patent application titled “AI-Enhanced Data Compression Algorithms for Efficient Storage” (Application No. 202441077603), filed in October 2024 and currently awaiting examination.

Her academic contributions are supported by her interdisciplinary interests in data science, artificial intelligence, deep learning, and healthcare-oriented image processing. She has no completed or ongoing research guidance reported in the submitted profile and no research or consultancy projects listed. Her academic qualifications, teaching experience, publications, book contributions, and patent application reflect her engagement in Computer Science and Engineering, particularly in artificial intelligence, data analytics, and image processing.