Biography
Oluwafemi Azeez is a recent masters graduate of Carnegie Mellon University where He studied Electrical and Computer Engineering specializing in Artificial Intelligence. He did research in unsupervised domain adaptation in image segmentation with Yang Zou under the supervision of VijayaKumar Bhagavatula and single-channel multi-speaker separation with Yuichiro Koyama under the supervision of Bhiksha Raj. He currently works as a research engineer (Team Lead) in Instadeep where He is working on applying reinforcement learning to combinatorial optimization problems and also working on multi-agent variational inference.
Interests
- Reinforcement Learning
- Deep Learning
- Computer Vision
- Artificial Intelligence
Education
-
MSc in Electrical and Computer Engineering, 2019
Carnegie Mellon Univeristy
-
BSc in Mechanical Engineering, 2015
University of Ibadan