Banu Priya M.
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Preferred name
Banu Priya M.
Official Name
Banu Priya M.
Main Affiliation
Chanakya University, Bengaluru
School of Engineering
ORCID
Biography
Banu Priya Mohan has taught at Chanakya University’s School of Engineering since 2024. She is interested in deep learning for healthcare, artificial intelligence in diagnostics, database systems, and cloud technologies.
She has held prior academic positions at CMR University, ICEAS Bangalore, SEA College of Engineering and Technology, CMR Institute of Technology, and Impact College of Engineering and Applied Science. She is currently pursuing her Ph.D. in Artificial Intelligence at Vels University, Chennai, where her research focuses on building interpretable deep learning models for early disease detection using multi-modal healthcare data.
She has co-authored work on lightweight cryptographic security in IoT environments, recently published in the Journal of Information Systems Engineering and Management. Her published design patent on “Patient Monitoring System with Mobile Alerting for Early Detection in Smart Health Environments” reflects her applied interest in smart healthcare innovation.
In her project AI-Powered Early Detection System for Ovarian Cancer, she integrates clinical and imaging data with attention-based deep learning models, while incorporating explain ability techniques such as SHAP and LIME to support transparent decision-making in clinical settings.
She has held prior academic positions at CMR University, ICEAS Bangalore, SEA College of Engineering and Technology, CMR Institute of Technology, and Impact College of Engineering and Applied Science. She is currently pursuing her Ph.D. in Artificial Intelligence at Vels University, Chennai, where her research focuses on building interpretable deep learning models for early disease detection using multi-modal healthcare data.
She has co-authored work on lightweight cryptographic security in IoT environments, recently published in the Journal of Information Systems Engineering and Management. Her published design patent on “Patient Monitoring System with Mobile Alerting for Early Detection in Smart Health Environments” reflects her applied interest in smart healthcare innovation.
In her project AI-Powered Early Detection System for Ovarian Cancer, she integrates clinical and imaging data with attention-based deep learning models, while incorporating explain ability techniques such as SHAP and LIME to support transparent decision-making in clinical settings.
Affiliation
| Role | Organisation | Start | End |
Assistant Professor | Chanakya University, Bengaluru | January 2025 |
Education
| Role | Organisation | Start | End |
(Ph.D.) | Vels University, Chennai | 2025 | |
M. Tech. | Cambridge Institute of Technology, Bangalore (VTU) | 2013 | |
B.E. | Reva Institute of Technology and Management, Bangalore (VTU) | 2010 |
Country
IN
Research Interests
Database Management Systems
Data Migration & Replication
Software Engineering & Testing
MySQL Performance Tuning
Deep Learning in Healthcare
Data Partitioning & High Availability.
Knows Language
English