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

Advancing Artificial Intelligence for the Naval Domain awarded by Office of Naval Research (Principal Investigator). 2018 to 2022

Medical Scientist Training Program awarded by National Institutes of Health (Mentor). 1997 to 2022

Postdoctoral Training in Genomic Medicine Research awarded by National Institutes of Health (Mentor). 2017 to 2022

Adversarial Learning for Nonproliferation Applications awarded by (Principal Investigator). 2018 to 2021

RI: Small: Feature Encoding for Reinforcement Learning awarded by National Science Foundation (Co-Principal Investigator). 2018 to 2021

Mapping Epigenetic Memory of Exposure New To Observe (MEMENTO) awarded by (Co Investigator). 2019 to 2021

Multi-Source Activity Graph Latent Uncovering & Merging (MAGNUM) awarded by Lockheed Martin Corporation (Principal Investigator). 2017 to 2021

Deep Learning for Sonar awarded by Office of Naval Research (Principal Investigator). 2018 to 2020

Deep learning-based image analysis for assessing real-time smoking risk awarded by National Institutes of Health (Co Investigator). 2018 to 2020

GP Kernels for Cross-Spectrum Analysis of Dynamic Networks awarded by Office of Naval Research (Principal Investigator). 2017 to 2020

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