
About
Soheil Kolouri is an Assistant Professor in the Department of Computer Science at Vanderbilt University. He leads the Machine Intelligence and Neural Technologies (MINT) Lab, focusing on cutting-edge research in artificial intelligence and computational systems.
Education includes a PhD in Computer Science from Carnegie Mellon University (2015), an MSc from Colorado State University (2012), and a BSc from Sharif University of Technology (2010).
Research interests center on Machine Learning, Computer Vision, and Deep Learning, with specialized applications in optimal transport theory, medical imaging, continual learning systems, and neural network efficiency. Recent work demonstrates strong cross-disciplinary collaboration with medical and engineering domains.
Publications (2024-2025) reveal three dominant themes:
- Advancements in optimal transport methodologies (Wasserstein distances, partial transport)
- Innovations in continual/lifelong learning systems
- Medical AI applications including surgical gesture recognition and cancer detection
The MINT Lab explores neural network architectures, reinforcement learning, and efficient model compression techniques for real-world deployment.
Research fields
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