Lawrence Carin

Lawrence Carin

Professor of Statistical Science

External address: 
119 Allen Building, Durham, NC 27708
Internal office address: 
Box 90291, Durham, NC 27708-0291
Phone: 
(919) 681-6436

Overview

Lawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical Engineering Department at Duke University, where he is now a Professor, and Vice Provost for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and he was ECE Department Chair from 2011-2014. Dr Carin's early research was in the area of electromagentics and sensing, and over the last 15 years his research has moved to applied statistics and machine learning. He has recently served on the Program Committee for the following machine learning conferences: International Conf. on Machine Learning (ICML), Neural and Information Processing Systems (NIPS), Artificial Intelligence and Statistics (AISTATS), and Uncertainty in Artificial Intelligence (UAI). He was previously an Associate Editor (AE) of the IEEE Trans. on Antennas and Propagation, the IEEE Trans. on Signal Processing, and the SIAM J. of Imaging Science. He is currently an AE for the J. of Machine Learning Research. He is an IEEE Fellow.

Education & Training

  • Ph.D., University of Maryland, College Park 1989

  • M.Sc.Eng., University of Maryland, College Park 1986

  • B.S.E., University of Maryland, College Park 1985

Selected Grants

Nuclear Science and Nuclear Nonproliferation Research awarded by University of Michigan (Principal Investigator). 2014 to 2019

Nonparametric Bayes Methods for Big Data in Neuroscience awarded by National Institutes of Health (Co-Mentor). 2014 to 2019

Enabling Stress Resistance awarded by National Institutes of Health (Co Investigator). 2012 to 2018

Reinforced Learning for Decentralized Autonomous Agents awarded by Office of Naval Research (Principal Investigator). 2014 to 2018

EMSW21-RTG: Geometric, Topological awarded by National Science Foundation (Key Faculty). 2011 to 2018

RTI University Scholar Program awarded by (Principal Investigator). 2017 to 2018

Exploiting Low-Dimensional Structure for Accerlerated Computations awarded by Office of Naval Research (Principal Investigator). 2014 to 2018

Bayesian Nonparametric Models to Represent Knowledge and Uncertainty for Decentralizing Planning awarded by Massachusetts Institute of Technology (Principal Investigator). 2011 to 2018

Computational Strategies for High Dimensional and Imprecise Data awarded by University of California, Los Angeles (Principal Investigator). 2012 to 2017

EAGER:DynamicData: awarded by National Science Foundation (Principal Investigator). 2015 to 2017

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