Important Dates
Applications are open. Check the Registration page.
Deadline for registration: 20 April 2024, 23:59 (IST).
About SYMPOSIA'24
In a time of swift technological evolution impacting the medical domain, this seminar elucidates the groundbreaking intersection of Artificial Intelligence (AI) and medical signal and imaging diagnostics.
Attendees will immerse themselves in these tech wonders' transformative effects and forthcoming horizons.
By the end of the seminar, participants will possess a profound grasp of AI's present capabilities and impending potential within medical imaging, armed with insights to spearhead continued breakthroughs, seamlessly integrating technology with healthcare.
Objective
The workshop will help the participants gain knowledge in deep learning, signal processing, machine learning, and their application for identifying diagnostic information from medical images and signals to improve healthcare and understand gaps and challenges in the medical field.
Topics to be covered
Understanding human body electric signals (ECG, PCG, EEG) and challenges for finding diagnostic information
Introduction to Explainable AI
Explainable AI for identifying diagnostic information from medical signals
XAI for ECG beat classification and identifying heart disorders
Hands-on session on XAI
Interpretable machine learning
Application of thermal imaging for medical diagnosis
Speakers
Professor, IIT Guwahati
Senior Resident, Department of medical gastroenterology, GTKMCH
Scientist (F), IGCAR, Kalpakkam
Lecturer in Computer Science, Ulster University
Assistant Professor, NIT Puducherry
Assistant Professor, Amrita Vishwa Vidyapeetham Coimbatore
Organizing Team
Dr. Usha Natesan
Chief Patron
Director In-charge
NIT Puducherry
Dr. S. Sundaravarathan
Patron
Registrar
NIT Puducherry
Host Faculty
Assistant Professor
Department of Electronics and Communication Engineering
National Institute of Technology Puducherry
Contact No.: (+91) 9488947184
Student volunteers
B. Tech (2nd Yr)
Dept. of ECE
NIT Puducherry
Contact No.: (+91) 6371942476