THEME: "Exploring New Research and Frontiers in Cardiology Care"
IILM University, Greater Noida, India
Title: Enhancing Cardiovascular Disease Diagnosis with the AC2 Model: A Hybrid AI Approach in Healthcare
Niyaz Ahmad Wani an Assistant Professor in the School of Computer Science and Engineering at IILM University, Greater Noida, India, specializes in Explainable Artificial Intelligence, Machine Learning, and Healthcare Systems. He has recently submitted his Ph.D. thesis on an AI-based model for cancer detection, highlighting his focus on enhancing medical diagnostics through innovative technology. Niyaz has an extensive track record in academia, holding positions at various institutions and significantly contributing to the field with numerous scholarly articles. His work in developing the "AC2" hybrid model demonstrates his commitment to advancing healthcare technology. Niyaz actively engages in the academic community as a member of IEEE and ACM, and his numerous awards for research excellence underscore his impact in the field. His teaching spans a broad range of computer science subjects, preparing the next generation of engineers and researchers