Dr. S. Priya Vasanth

Professional Summary

Dedicated academician with over 7 years of teaching and administrative experience in Computer Science and Applications. Expertise in Machine Learning, Image Processing, and Data Compression. Published research scholar in SCI and Scopus indexed journals with strong interdisciplinary curriculum development skills.

Educational Qualifications

Ph.D., Computer Science – Bharathiar University, 2022

M.Sc., Computer Science – Manonmaniam Sundaranar University, 2012

B.Sc., Computer Science – Manonmaniam Sundaranar University, 2010

Areas of Specialization

• Image Processing
• Data Compression Techniques
• Deep Learning
• Machine Learning Applications

Subjects Handled

ASP.NET, Cyber Forensics, Machine Learning using Python, Image Processing, Software Testing, Software Quality Assurance, Financial Accounting, Digital Logic Fundamentals, Oracle Cloud Infrastructure, ICT, MIS, Multimedia, Software Communication and Documentation.

Projects Guided

• Enterprise Resource Planning (ERP)
• Transport Management System (TMS)
• Human Resource Management System (HRMS)

Publications

1. Priya Vasanth, S. (2018). Efficient Oppositional Based Optimal Haar Wavelet for Compound Image Compression using MHE. Biomedical Research, 29(10), 2169–2178. (SCI Indexed)

2. Priya Vasanth, S. (2017). An Efficient Compound Image Compression using Optimal Discrete Wavelet Transform and Run Length Encoding Techniques. Journal of Intelligent Systems (De Gruyter). (Scopus Indexed)

3. Priya Vasanth, S. Optimization for High-Efficiency Compound Image Compression Using Hybrid CNN–Huffman Encoding Framework. International Journal of Imaging Systems and Technology. (Under Review)

Conference Presentations

• Cloud QoS Ranking Prediction Using Artificial Intelligence – International Conference
• Optimized Ranking Prediction Using K-Means Clustering with Genetic Algorithm – International Conference
• Machine Learning in Cloud Computing Security – International Conference
• Spatial Data Analysis in GIS – National Conference
• Logarithmic Quantization Index Modulation for Data Hiding – National Conference

Internship

Machine Learning using Python – AICTE INSPIRE Internship (Feb 2023 – Mar 2023)

Workshops & Faculty Development Programs

• Industry 4.0 – April 2023
• Harnessing Generative AI – July 2025
• Innovative Research Methodology – November 2025
• Next-Gen AI Tools in Connected Intelligence – November 2025
• AI Connects the Universe – January 2026

Awards & Achievements

Recipient of the “Excellence in Innovation and Research” Award – International Altiora Excellence Awards (IAEA 2025).