Overview

I was invited as a Resource Person for a session on "Advanced Application of Python in Healthcare" at St. Joseph's College of Engineering and Technology, Thanjavur. The lecture was part of the AICTE-ATAL Faculty Development Program (FDP), focused on emerging trends in AI and Quantum Computing.

Session Highlights

• Discussed the role of Python in AI-driven healthcare solutions, including medical imaging, predictive analytics, and clinical decision support.
• Explored real-world applications of AI in cardiology, disease prediction, and medical diagnostics.
• Covered advanced Python frameworks such as TensorFlow, PyTorch, SciKit-Learn, and OpenCV for healthcare research.
• Presented case studies on machine learning models for cardiovascular risk prediction and survival analysis.
• Engaged in an interactive Q&A session with faculty members and researchers on AI ethics, model interpretability, and future healthcare innovations.

Teaching Experience & Engagement

• Delivered an interactive and research-driven session to an advanced audience consisting of Assistant Professors, PhD Scholars, and Senior Professors specializing in Computer Science, AI, and Healthcare Informatics.
• Shared insights from my research in AI-driven cardiovascular imaging and discussed cutting-edge methodologies in explainable AI.
• Fostered academic discussions on the integration of AI models in real-world clinical settings.

This session further solidified my teaching experience in AI for healthcare and my ability to effectively communicate complex AI concepts to a diverse academic audience.