Research & Publications
My research explores how intelligent systems can support healthcare, neurotechnology, and real-world human-centered applications. These selected works reflect my interest in building practical, interpretable, and impactful AI systems.
An Interactive Tool for Visualizing Software Architecture Evolution using LLM
IIT Gandhinagar
Designing an interactive system that extracts architecture-related insights across software versions and uses large language models to summarize structural evolution in a readable, visual format.
Detection of Ovarian Cancer From Histopathological Images Using DL Models & XAI
ICAMS-2025
Investigated deep learning and explainable AI techniques for detecting ovarian cancer from histopathological imagery, with a focus on making model predictions more trustworthy for healthcare settings.
View PublicationPULSE: Proactive Uncovering of Latent Severe Anomalous Events in IIoT
Cluster Computing (Springer)
Developed a proactive anomaly detection approach for Industrial IoT environments to identify severe latent events early, improving reliability and resilience in connected systems.
View ArticleDeep Learning-Based Classification of ECG Heartbeat Signals Using Transformer Encoders
Research Publication
Explored transformer-based architectures for ECG heartbeat classification to improve sequence modeling performance in physiological signal analysis and cardiac health monitoring.