THEME: "Shining a spotlight on global heart health"
Thapar Institute of Engineering and Technology, Patiala, India
Title: Synergizing Fusion Modelling for Accurate Cardiac Prediction Through Explainable Artificial Intelligence
Niyaz Ahmad Wani, born in 1992 in Jammu and Kashmir, India, has been passionate about artificial intelligence from a young age. He earned his bachelor's degree in computer science from the University of Kashmir and pursued postgraduate studies in artificial intelligence, focusing on Explainable AI (XAI). He completed his Ph.D. in Smart Healthcare systems at the Islamic University of Science and Technology. Niyaz's research has significantly contributed to the development of interpretable AI models, emphasizing the need for transparency in machine learning. His work in Smart Healthcare has aimed at enhancing diagnostic accuracy and patient care through AI. As an Assistant Professor at Thapar Institute of Engineering and Technology, he has inspired students and collaborated with scholars in a multidisciplinary research environment. Niyaz has published in several prestigious journals, such as Information Fusion, IEEE Access, and Engineering Applications of Artificial Intelligence, and serves as an editor for journals like IEEE Access and IEEE Transactions on Consumer Electronics.