About

M. Tech., Ph.D.(Pursuing)

About

M. Tech., Ph.D.(Pursuing)

Email : banupriya.m@chanakyauniversity.edu.in

Areas of Expertise : Database Management Systems, Data Migration & Replication, Software Engineering & Testing, MySQL Performance Tuning, Deep Learning in Healthcare, Data Partitioning & High Availability.

My primary research interest lies in the application of deep learning to healthcare systems. As part of my doctoral work, I am exploring how artificial intelligence, particularly deep neural networks, can aid in the early detection and diagnosis of diseases such as ovarian cancer. The intersection of AI and healthcare offers transformative potential in terms of patient outcomes and clinical decision support.

Healthcare systems generate vast amounts of structured and unstructured data, including medical imaging, electronic health records, and clinical notes. Developing models that can robustly interpret and integrate this multi-modal data for accurate diagnosis, while remaining explainable to clinicians, is a core challenge of my research. I am particularly interested in building systems that utilize convolutional neural networks (CNNs), attention-based mechanisms, and temporal-spatial data fusion to enhance predictive power.

Ensuring model transparency and trustworthiness is equally important, and my work incorporates explainable AI techniques such as SHAP and LIME. These approaches help in visualizing and interpreting model decisions, enabling medical professionals to make informed, confident decisions.

Ultimately, my goal is to design AI systems that are not only accurate but also interpretable, adaptive, and suitable for deployment in real-world healthcare settings, especially those with constrained computational resources. The broader vision is to bridge gaps between algorithmic innovation, clinical applicability, and societal benefit.

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 explainability techniques such as SHAP and LIME to support transparent decision-making in clinical settings.

(Ph.D.), in Computer Science – Deep Learning in Healthcare, Vels University, Chennai, 2025–Present
M. Tech., in Computer Science and Engineering, Cambridge Institute of Technology, Bangalore (VTU), 2013
B.E., in Information Science and Engineering, Reva Institute of Technology and Management, Bangalore (VTU), 2010

M. S. Minu, R. Devi, S. Selvakumari, B. P. Mohan, R. Priscilla, and T. A. Mohanaprakash, “Enhancing IoT Security with Lightweight Cryptographic Operations Using Temporal Spatial Hyperdimensional Computing,” Journal of Information Systems Engineering and Management, vol. 2025. [Online]. Available: https://jisem-journal.com/
BanuPriya. M and S. S. Kumar, “Deep Learning and Artificial Intelligence: Transforming Data into Knowledge,” presented at the ATAL Innovation Mission, Apr. 2024.
BanuPriya. M, “National Highway Automatic Toll Plaza System,” Smart Urban Research Bulletin (SURB), Dec. 2023.
BanuPriya. M, “Patient Monitoring System with Mobile Alerting for Early Detection in Smart Health Environments,” Indian Patent Office, Patent no. 449030-001, Apr. 2024.
BanuPriya. M, “Artificial Intelligence and Robotics Integration,” SK Research Group of Companies.
BanuPriya. M, “Cloud Computing Essentials,” SK Research Group of Companies.
BanuPriya. M, “Cirrhosis Prediction using Intelligent Retrieval and Knowledge Engineering,” Journal of Emerging Technologies and Innovative Research (JETIR), vol. 11, no. 7, pp. 45–50, Jul. 2024.
BanuPriya. M, “Providing Scalable and Secure Sharing in Cloud Computing Using Attribute-Based Encryption (ABE),” in Proc. Int. Conf. on Recent Innovations in Engineering by IRD-India, Bengaluru, India, May 2013.
BanuPriya. M, “Efficient Provable Data Possession for Outsourced Data in Cloud,” in Proc. Int. Conf. on Recent Innovations in Engineering by IRD-India, Bengaluru, India, May 2013.
BanuPriya. M, “Integrating TCP into Cloud Computing Security Systems,” in Proc. National Conference on Advances in Computing, Reva Institute of Technology and Management, Bengaluru, India, 2012.

Project 1

Title: AI-Powered Early Detection System for Ovarian Cancer
Duration: Jan 2025 – Ongoing
Granting Agency:
PIs/Co PIs: Banu Priya Mohan
Purpose: This project is part of my Ph.D. research focused on designing a deep learning-based diagnostic tool for early-stage ovarian cancer detection.
Short Description: The research integrates clinical and imaging data using convolutional and attention-based neural networks. It emphasizes model explainability through SHAP and LIME to support clinical transparency and trust.
Status: Ongoing

Best Outgoing Student Award – M. Tech Department, Cambridge Institute of Technology, 2013
Patent Published: Patient Monitoring System with Mobile Alerting for Early Detection in Smart Health Environments (Design Certificate Application No: 449030-001), Indian Patent Office, April 2024
Python Essential Training, LinkedIn Learning – May 2025
SQL: Data Reporting and Analysis, LinkedIn Learning – 2019
Foundations of User Experience (UX) Design, authorized by Google, Coursera – 2023
AWS Certified Cloud Practitioner, Amazon Web Services – 2023
Member, Computer Society of India (CSI)
Technical Paper Presenter, IEEE & National Conferences – IRD India (2013), Reva Institute (2012)

Google Scholar: https://scholar.google.com/citations?hl=en&user=896NQFsAAAAJ

ORCID: https://orcid.org/0009-0002-0445-298X

ResearchGate: https://www.researchgate.net/profile/Banu-Mohan

Chanakya University Profile (Academia): https://chanakyauniversity.edu.in/faculties/banu-priya-m/

LinkedIn: https://www.linkedin.com/in/banupriyamohan

(Ph.D.), in Computer Science – Deep Learning in Healthcare, Vels University, Chennai, 2025–Present
M. Tech., in Computer Science and Engineering, Cambridge Institute of Technology, Bangalore (VTU), 2013
B.E., in Information Science and Engineering, Reva Institute of Technology and Management, Bangalore (VTU), 2010

M. S. Minu, R. Devi, S. Selvakumari, B. P. Mohan, R. Priscilla, and T. A. Mohanaprakash, “Enhancing IoT Security with Lightweight Cryptographic Operations Using Temporal Spatial Hyperdimensional Computing,” Journal of Information Systems Engineering and Management, vol. 2025. [Online]. Available: https://jisem-journal.com/
BanuPriya. M and S. S. Kumar, “Deep Learning and Artificial Intelligence: Transforming Data into Knowledge,” presented at the ATAL Innovation Mission, Apr. 2024.
BanuPriya. M, “National Highway Automatic Toll Plaza System,” Smart Urban Research Bulletin (SURB), Dec. 2023.
BanuPriya. M, “Patient Monitoring System with Mobile Alerting for Early Detection in Smart Health Environments,” Indian Patent Office, Patent no. 449030-001, Apr. 2024.
BanuPriya. M, “Artificial Intelligence and Robotics Integration,” SK Research Group of Companies.
BanuPriya. M, “Cloud Computing Essentials,” SK Research Group of Companies.
BanuPriya. M, “Cirrhosis Prediction using Intelligent Retrieval and Knowledge Engineering,” Journal of Emerging Technologies and Innovative Research (JETIR), vol. 11, no. 7, pp. 45–50, Jul. 2024.
BanuPriya. M, “Providing Scalable and Secure Sharing in Cloud Computing Using Attribute-Based Encryption (ABE),” in Proc. Int. Conf. on Recent Innovations in Engineering by IRD-India, Bengaluru, India, May 2013.
BanuPriya. M, “Efficient Provable Data Possession for Outsourced Data in Cloud,” in Proc. Int. Conf. on Recent Innovations in Engineering by IRD-India, Bengaluru, India, May 2013.
BanuPriya. M, “Integrating TCP into Cloud Computing Security Systems,” in Proc. National Conference on Advances in Computing, Reva Institute of Technology and Management, Bengaluru, India, 2012.