Scholar
Kevin R. Moon
Google Scholar ID: CkwC_ikAAAAJ
Utah State University
Citations & Impact
Citations
4,176
H-index
19
i10-index
25
Publications
20
Co-authors
82
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published in top-tier journals including Nature, Cell, and Nature Biotechnology, and top ML conferences such as NeurIPS
- Selected publications: 'Geometry regularized autoencoders' (IEEE TPAMI, 2022)
- 'Ensemble estimation of generalized mutual information with applications to genomics' (IEEE Transactions on Information Theory, 2021)
- 'Visualizing Transitions and Structure for Biological Data Exploration' (Nature Biotechnology, 2019)
- 'Ensemble Estimation of Information Divergence' (Entropy, 2018)
- 'Ensemble estimation of mutual information' (ISIT, 2017)
Education
- PhD in Electrical Engineering and Computer Science (EECS) from the University of Michigan, Ann Arbor (2016), advised by Dr. Alfred Hero
- MS in Mathematics from the University of Michigan (2016)
- MS in Electrical Engineering from Brigham Young University (2012)
- BS in Electrical Engineering from Brigham Young University (2011)
- Served two years in Puebla, Mexico during undergraduate studies and studied abroad in China for six weeks
Background
- Director of the Data Science and AI Center at Utah State University
- Associate Professor in the Department of Mathematics and Statistics, focusing on data science and machine learning
- Research interests include machine learning, deep learning, information theory, manifold learning, big data, statistical signal processing, statistical learning theory, estimation, graphical models, and random matrix theory
- Strong interest in biological and medical applications
- Current projects focus on data visualization, data denoising, and nonparametric estimation of information-theoretic measures such as entropy, mutual information, and information divergence
- Applications include sunspot/active region images, biological data, financial data, ecological data, and navigation data
