Farhad Maleki
About
Dr. Farhad Maleki is an Assistant Professor in the Department of Computer Science at the University of Calgary, where he leads research at the intersection of Artificial Intelligence and the life sciences. His work focuses on developing advanced Machine Learning and Deep Learning methodologies for medical data analysis, with a specific emphasis on overcoming the challenges of small-scale training datasets and ensuring the generalizability of models in clinical settings. Dr. Maleki’s interdisciplinary background spans Bioinformatics, where he has contributed foundational work in genomics and proteomics, and Medical Image Analysis, where he investigates automated segmentation and diagnostic pipelines for complex pathologies. A former postdoctoral researcher at McGill University’s Augmented Intelligence & Precision Health Laboratory, he is a key member of the global imaging informatics community, serving on the Machine Learning Education Sub-Committee of the Society for Imaging Informatics in Medicine (SIIM).
Research Performance Summary
First Recorded Paper
An image encryption system by cellular automata with memory
Year: 2008
Citations: 63
Venue: 2008 third international conference on availability, reliability and
Latest Recorded Paper
Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction
Year: 2026
Citations: 0
Venue: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.