Our Faculty

Dr. S. Krishnakumar possesses deep technical expertise at the intersection of Computer Vision and Medical AI, with a specialized focus on designing high-performance architectures for retinal disease diagnosis. His competency spans the development of custom deep learning models, such as RetNet30 and T-VesselNet, which integrate transformer-based multi-scale fusion and graph enhancements to achieve state-of-the-art diagnostic accuracy. He is highly proficient in algorithmic optimization, notably leveraging techniques like Red Spider Optimization (RSO) and Neuroweb Optimizers to dynamically tune hyperparameters for peak model efficiency. Complementing his software expertise in Python, MATLAB, TensorFlow, and PyTorch, Dr. Krishnakumar has a strong foundation in Embedded Systems and Robotics, evidenced by his patent on pipeline inspection and underwater robots, as well as his practical application of IoT and Arduino for automated monitoring systems.