Lawrence Carin

Professor of Electrical and 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 and Computer Engineering (ECE) Department at Duke University, where he is now a Professor. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke's Vice President for Research. 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), artificial intelligence (AI) and applied statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. 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. He is an IEEE Fellow.

Appointments and Affiliations

  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science
  • Member of the Duke Clinical Research Institute

Contact Information

  • Office Location: 119 Allen Building, Durham, NC 27708
  • Office Phone: (919) 681-6436
  • Email Address: lcarin@ee.duke.edu
  • Websites:

Education

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

Research Interests

Applied statistics and machine learning

Awards, Honors, and Distinctions

  • Fellows. Institute for Electrical and Electronics Engineers. 2001

Courses Taught

  • BME 493: Projects in Biomedical Engineering (GE)
  • COMPSCI 391: Independent Study
  • COMPSCI 393: Research Independent Study
  • COMPSCI 394: Research Independent Study
  • ECE 291: Projects in Electrical and Computer Engineering
  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering
  • EGR 190: Special Topics in Engineering
  • EGR 590: Special Topics in Engineering
  • POE 505: Winter Breakaway

In the News

Representative Publications

  • Draelos, R. L., and L. Carin. “Explainable multiple abnormality classification of chest CT volumes (Accepted).” Artificial Intelligence in Medicine 132 (October 1, 2022). https://doi.org/10.1016/j.artmed.2022.102372.
  • Dov, David, Shahar Z. Kovalsky, Qizhang Feng, Serge Assaad, Jonathan Cohen, Jonathan Bell, Ricardo Henao, Lawrence Carin, and Danielle Elliott Range. “Use of Machine Learning-Based Software for the Screening of Thyroid Cytopathology Whole Slide Images.” Arch Pathol Lab Med 146, no. 7 (July 1, 2022): 872–78. https://doi.org/10.5858/arpa.2020-0712-OA.
  • Dov, David, Serge Assaad, Ameer Syedibrahim, Jonathan Bell, Jiaoti Huang, John Madden, Rex Bentley, et al. “A Hybrid Human-Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy.” Arch Pathol Lab Med 146, no. 6 (June 1, 2022): 727–34. https://doi.org/10.5858/arpa.2020-0850-OA.
  • Wisely, C Ellis, Dong Wang, Ricardo Henao, Dilraj S. Grewal, Atalie C. Thompson, Cason B. Robbins, Stephen P. Yoon, et al. “Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging.” Br J Ophthalmol 106, no. 3 (March 2022): 388–95. https://doi.org/10.1136/bjophthalmol-2020-317659.
  • Xu, H., J. Liu, D. Luo, and L. Carin. “Representing Graphs via Gromov-Wasserstein Factorization.” Ieee Transactions on Pattern Analysis and Machine Intelligence, January 1, 2022. https://doi.org/10.1109/TPAMI.2022.3153126.