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 the William H. Younger Distinguished Professor. Dr Carin's early research was in the area of electromagentics and sensing, and over the last ten 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 of the IEEE Trans. on Antennas and Propagation, and he is currently an Associate Editor for the IEEE Trans. on Signal Processing and the SIAM J. of Imaging Science. He is an IEEE Fellow.

Contact Info:

Office Location:	128 Hudson Hall Engineering Building
Office Phone:	(919) 525-1088
Email Address:
Web Page:	http://www.ee.duke.edu/~lcarin

Education:

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

Specialties:

Signal Processing
Electromagnetics

Awards, Honors, and Distinctions

Cleanup Project of the Year, Department of Defense, SERDP, 2000 and 2005
Eta Kappa Nu
Fellow, IEEE, 2001
Member, White House Advisory Panel on the Future of Landmine Research, 2002
National Science Foundation Research Initiation Award, National Science Foundation, 1992
Paper of the Year, Applied High-Power Electromagnetics, 2000
Research Award, Duke University, School of Engineering, 2002
Tau Beta Pi
Fellows, Institute for Electrical and Electronics Engineers

Recent Publications   (More Publications)

1. Zhang, H; Cong, Y; Wang, Z; Zhang, L; Zhao, M; Chen, L; Si, S; Henao, R; Carin, L, Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2., IEEE Trans Neural Netw Learn Syst, vol. 35 no. 5 (May, 2024), pp. 6558-6569 [doi]  [abs].
2. Assaad, S; Dov, D; Park, C; Davis, R; Kovalsky, SZ; Lee, WT; Kahmke, RR; Rocke, DJ; Cohen, J; Weiss-Meilik, A; Henao, R; Carin, L; Elliott Range, D, A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies., Thyroid, vol. 34 no. 4 (April, 2024), pp. 531-535 [doi] .
3. Verma, V; Mehta, N; Liang, KJ; Mishra, A; Carin, L, Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 (January, 2024), pp. 2709-2719 [doi]  [abs].
4. Glass, M; Ji, Z; Davis, R; Pavlisko, EN; DiBernardo, L; Carney, J; Fishbein, G; Luthringer, D; Miller, D; Mitchell, R; Larsen, B; Butt, Y; Bois, M; Maleszewski, J; Halushka, M; Seidman, M; Lin, C-Y; Buja, M; Stone, J; Dov, D; Carin, L; Glass, C, A machine learning algorithm improves the diagnostic accuracy of the histologic component of antibody mediated rejection (AMR-H) in cardiac transplant endomyocardial biopsies., Cardiovasc Pathol, vol. 72 (2024), pp. 107646 [doi]  [abs].
5. Dow, ER; Jeong, HK; Katz, EA; Toth, CA; Wang, D; Lee, T; Kuo, D; Allingham, MJ; Hadziahmetovic, M; Mettu, PS; Schuman, S; Carin, L; Keane, PA; Henao, R; Lad, EM, A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography., JAMA Ophthalmol, vol. 141 no. 11 (November, 2023), pp. 1052-1061 [doi]  [abs].

Duties:

Lawrence Carin is a Professor in Duke ECE. His current research interests include short-pulse scattering, subsurface sensing, and wave-based signal processing. He is an IEEE Fellow and a member of the Tau Beta Pi and Eta Kappa Nu honor societies.