Summary
Jeova Neto is an Assistant Professor of Computer Science at Bowdoin College with nine years of research and teaching experience spanning computer vision, machine learning, and discrete optimization. He earned a PhD in Electrical and Computer Engineering and a Master's in Applied Mathematics from Brown University, where he worked on clustering hypergraphs and unsupervised image segmentation under Prof. Pedro Felzenszwalb. His current work blends discrete optimization, statistics, and deep learning to tackle image segmentation and clustering, building on prior research in probabilistic graphical models and semidefinite programming. Jeova’s background also includes shape retrieval and SAR/biomedical image segmentation from his earlier work in France and Brazil, reflecting a long-standing interest in practical, theory-informed solutions for visual data. Known for seeking efficient approximate solvers to hard combinatorial problems, he combines rigorous mathematical training with hands-on algorithm development and classroom mentorship.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, 3.8, Bachelor of Engineering - BE, Computer Engineering, 3.8 at Federal University of Ceara
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.8, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.8 at Brown University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Université Nice Sophia Antipolis
Portuguese, English, French, Italian