About Me
Dr. Ibrahim Karabayir has a strong background in artificial intelligence and mathematics, with his early research focusing on integral inequalities and quantum calculus. During his PhD studies at Istanbul University, he shifted his focus to real-world AI applications and developed EVGO, an optimizer algorithm that enhances deep neural network training. During his postdoctoral studies between 2019-2022, Dr. Karabayir conducted research at The University of Tennessee Health Science Center, Loyola University Chicago, and Atrium Health Wake Forest Baptist, focusing on critical decision-making problems in cardiovascular diseases, neurodegenerative disorders, surgical outcomes, and microbiome analysis.
Dr. Karabayir excels in developing and implementing novel deep-learning architectures and applying advanced AI techniques across diverse domains. His expertise extends to deploying models on edge devices through techniques like model quantization, pruning, and knowledge distillation. His current research focuses on cardiovascular diseases, particularly the prediction and detection of outcomes such as heart failure, cardiomyopathy, and sudden cardiac death.