Vikram Ravindra

Vikram Ravindra is an Assistant Professor at the University of Cincinnati in the Department of Computer Science, with research interests spanning machine learning, deep learning, multi-modal learning, and network science. He develops computational tools for analyzing biomedical images, particularly neuroimages, and works with biomedical signals in wearable technology and robotics contexts.

Research focus areas include:

• Machine learning for neuroimage analysis
• Multi-modal data integration techniques
• Biomedical signal processing
• Network science applications in healthcare

Dr. Ravindra's publications demonstrate a consistent interdisciplinary approach, combining deep learning with neuroscience applications. Recent works focus on neuroimaging analysis, connectome interpretation, and medical AI applications. His research group currently includes PhD candidates working on biomedical applications of machine learning.

He serves as co-organizer of the CS Graduate Student Seminar and was recently elevated to Senior Member of IEEE. Ravindra holds a PhD from Purdue University and MSc from Technical University of Munich.