Shayan Shams

Dr. Shayan Shams is an Assistant Professor in the Department of Health Data Science and Artificial Intelligence at UTHealth Houston's McWilliams School of Biomedical Informatics, where he has been faculty since 2019. He holds a PhD in Computer Science from Louisiana State University and an MEng in Robotics from University of Malaya. His research group is affiliated with the Center for Secure Artificial Intelligence for Healthcare (SAFE).

Dr. Shams' research integrates artificial intelligence, high-performance computing, and big data analytics to address healthcare challenges. Key focus areas include:

• Unsupervised/semi-supervised deep learning for medical computer vision
• High-performance computing infrastructure for genomic data
• Hardware acceleration (GPU/FPGA) for medical AI
• Knowledge transfer across clinical domains (radiology, pathology, neurology)
• Edge device implementation for personalized medicine

His recent publications (2016-2019) demonstrate evolving work in deep learning frameworks for healthcare applications, spanning medical imaging diagnostics, genomics pipelines, disaster response analytics, and distributed computing infrastructure. Research consistently leverages convolutional networks and generative models for biomedical problem-solving.

Dr. Shams actively seeks graduate students and postdoctoral researchers for projects at the intersection of AI and healthcare. He has served as reviewer for premier conferences including MICCAI, IEEE ICDCS, and ACM-BCB.