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Daniel Pimentel-Alarcón

Assistant Professor    
Education

B.S., Computer Engineering, Instituto Tecnológico Autónomo de México, 2008
B.S., Telematic Engineering, Instituto Tecnológico Autónomo de México, 2008
M.S., Electrical and Computer Engineering, University of Wisconsin–Madison, 2014
M.A., Mathematics, University of Wisconsin–Madison, 2014
Ph.D., Electrical and Computer Engineering, University of Wisconsin–Madison, 2016

Specializations

Machine learning, signal processing, optimization, statistics, algebraic geometry, data science

Biography

Daniel is an assistant professor in the Department of Computer Science at Georgia State University. His research interests include machine learning, signal processing, optimization, statistics, algebraic geometry, and everything data science. While Daniel’s interests are somewhat theoretical, his work has cool applications in biology, astroinformatics, neuroscience, vision, networks inference, drug discovery, and recommender systems, to name a few.

Publications

D. Pimentel-Alarcón, G. Ongie, L. Balzano, R. Willett, and R. Nowak, Low algebraic dimension matrix completion, Proceedings of the 55th Annual Allerton Conference on Communication, Control, and Computing, 2017, pp. 790–797.

D. Pimentel-Alarcón and R. Nowak, Random consensus robust PCA, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, published in Proceedings of Machine Learning Research, vol. 54, 2017, pp. 344–352.

D. L. Pimentel-Alarcón and R. D. Nowak, The information-theoretic requirements of subspace clustering with missing data, Proceedings of the 33rd International Conference on Machine Learning (ICML’16), vol. 48, 2016, pp. 802–810.

D. L. Pimentel-Alarcón, N. Boston, and R. D. Nowak, A characterization of deterministic sampling patterns for low-rank matrix completion, Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing, 2015, pp. 1075–1082. Published in IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 4, 2016, pp. 623–636.

D. L. Pimentel-Alarcón, N. Boston, and R. D. Nowak, Deterministic conditions for subspace identifiability from incomplete sampling, Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT), pp. 2191–2195.