Lawrence Carin, William H. Younger Professor of Electrical & Computer Engineering

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. Dr. Carin was the principal investigator (PI) on a Multidisciplinary University Research Initiative (MURI) on demining (1996-2001), and he is currently the PI of a MURI dedicated to multi-modal inversion. He is an Associate Editor of the IEEE Transactions on Antennas and Propagation. 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.

Contact Info:

Office Location:	3459 CIEMAS
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

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, ISBN 9798350318920 [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]