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Lawrence Carin

Professor of Electrical and Computer Engineering
Electrical and Computer Engineering
Box 90291, Durham, NC 27708-0291
321 Gross Hall, Durham, NC 27708

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 Brooklyn Polytechnic Institute (now part of NYU) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University, where he is now a Professor. He was ECE Department Chair from 2011-2014, and Vice Provost and Vice President for Research from 2014-2020. He was the Provost at King Abdullah University of Science & Technology (KAUST) from 2020-2023, returning to Duke in 2023. From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin's research focuses on machine learning (ML) and artificial intelligence (AI). He publishes widely in the main ML/AI forums, and has addressed many applications of AI, including in  medicine and security. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML, which was acquired by Aspirion in 2023. He is an IEEE Fellow.

Current Appointments & Affiliations


Professor of Electrical and Computer Engineering · 2001 - Present Electrical and Computer Engineering, Pratt School of Engineering
Professor of Computer Science · 2018 - Present Computer Science, Trinity College of Arts & Sciences

In the News


Published January 14, 2025
Dorothy, We Don’t Use a Floppy Disk Anymore
Published February 8, 2024
The AI Explosion, Explained
Published January 30, 2024
A Marriage of AI and Photonics to Advance Imaging, Health Care and Public Safety

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Recent Publications


Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2.

Journal Article IEEE Trans Neural Netw Learn Syst · May 2024 Text generation is a key component of many natural language tasks. Motivated by the success of generative adversarial networks (GANs) for image generation, many text-specific GANs have been proposed. However, due to the discrete nature of text, these text ... Full text Link to item Cite

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning

Conference Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 · January 3, 2024 Zero-shot learning (ZSL) is a promising approach to generalizing a model to categories unseen during training by leveraging class attributes, but challenges remain. Recently, methods using generative models to combat bias towards classes seen during traini ... Full text Cite
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Recent Grants


Integrating Causal Inference and Deep Learning for Analysis and Interpretation

ResearchPrincipal Investigator · Awarded by Office of Naval Research · 2024 - 2027

Duke-UNC Collaborative Pediatric Clinical Pharmacology Postdoctoral Training Program

Inst. Training Prgm or CMEPreceptor · Awarded by National Institutes of Health · 2021 - 2026

NQVL:QTSD:Pilot: Quantum Advantage-Class Trapped Ion system (QACTI)

ResearchSenior Investigator · Awarded by National Science Foundation · 2024 - 2025

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Education, Training & Certifications


University of Maryland, College Park · 1989 Ph.D.
University of Maryland, College Park · 1986 M.Sc.Eng.
University of Maryland, College Park · 1985 B.S.E.