
About
Amin Karbasi is an Associate Professor of Electrical & Computer Engineering at Yale University, with an additional appointment in Computer Science. His research focuses on large-scale optimization, statistical learning theory, and computational neuroscience. He leads the Inference, Information, and Decision Systems Group.
Education: PhD from École Polytechnique Fédérale de Lausanne (EPFL).
Research Highlights: Explores intersections between machine learning, signal processing, and neuroscience. Develops scalable algorithms for high-dimensional data analysis. Known for work on brain connectomics and submodular optimization in medical imaging.
- Awards: Over 15+ honors including NSF CAREER Award (2019), Bell Labs Prize (2021), and multiple best paper awards in top conferences like ICASSP and AISTATS.
- Grants: Active funding from DARPA, ONR, NSF, and industry partnerships with Amazon/Google.
Labs & Teams: Directs the Yale Inference, Information, and Decision Systems Group, focusing on AI-driven solutions for neuroscience and engineering challenges.
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