Dr. A. Sukanya is a Computer Science and Business Analytics academic with extensive experience in teaching, funded research, and academic administration. She was awarded the Ph.D. in Computer Science (Full-Time) for her research titled 'Design and Development of an Effective Methodology Using Vesselness Measures for Coronary Artery Segmentation and Calcium Quantification' at Bharathiar University.
She subsequently served as a Project Fellow in the Department of Computer Applications, Bharathiar University, actively engaged in national funded research initiatives and high-performance computing projects.
Prior to joining SVPISTM, she served reputed higher education institutions including Avinashilingam Institute for Home Science and Higher Education for Women, Sri Krishna Arts and Science College, and VLB Janakiammal College. She joined SVPISTM in July 2024 to lead Business Analytics and computer applications programmes.
Her research expertise encompasses Digital Image Processing, Medical Imaging, Machine Learning, Computer Vision, and Biomedical Image Analysis, with high technical proficiency in Python, R, MATLAB, Tableau, and statistical computing platforms. She has authored papers in Scopus and SCIE-indexed international journals and serves as an active peer reviewer for international publications.
| Degree | Specialization / Discipline | Institution / University | Year |
|---|---|---|---|
| Ph.D. |
Computer Science (Medical Image Analytics)
Doctorate Awarded (Full-Time) |
Bharathiar University, Coimbatore | 2019 |
| Project Fellow |
Funded Analytics & Computer Applications
State Research Fellowship |
Bharathiar University | 2015–2017 |
| M.Phil. |
Computer Science
First Class with Distinction |
Bharathiar University | 2012 |
| M.C.A. |
Computer Applications
First Class |
Recognized Central / State University | 2010 |
| B.Sc. |
Computer Science
First Class |
Bharathiar University | 2007 |
"An Automated Framework for Coronary Calcium Quantification Using Multi-Scale Vesselness Filters"
"Deep Convolutional Neural Networks for Automated Defect Detection in Woven Fabric Surfaces"
"Feature Extraction and Machine Learning Classifier Performance on High-Resolution Medical Image Datasets"
"Predictive Modeling of Retail Customer Churn in E-Commerce Platforms using Python"
"Vesselness Filter Optimization for Low-Contrast Radiographic Sequences"
Python for Business Analytics: Hands-on Machine Learning Applications