Lawrence Carin

Carin

James L. Meriam Distinguished 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

  • James L. Meriam Distinguished Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science
  • Professor of Statistical 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

  • 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

Awards, Honors, and Distinctions

  • Fellows. Institute for Electrical and Electronics Engineers. 2001

Courses Taught

  • BME 493: Projects in Biomedical Engineering (GE)
  • CEE 780: Internship
  • 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 190: Practice Oriented Education
  • POE 505: Winter Breakaway
  • POE 790: Practice Oriented Education
  • STA 393: Research Independent Study
  • STA 493: Research Independent Study
  • STA 993: Independent Study

In the News

Representative Publications

  • Dai, S; Cheng, Y; Zhang, Y; Gan, Z; Liu, J; Carin, L, Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 12625 LNCS (2021), pp. 268-283 [10.1007/978-3-030-69538-5_17] [abs].
  • Dov, D; Kovalsky, SZ; Assaad, S; Cohen, J; Range, DE; Pendse, AA; Henao, R; Carin, L, Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images., Med Image Anal, vol 67 (2021) [10.1016/j.media.2020.101814] [abs].
  • Draelos, RL; Dov, D; Mazurowski, MA; Lo, JY; Henao, R; Rubin, GD; Carin, L, Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes., Med Image Anal, vol 67 (2021) [10.1016/j.media.2020.101857] [abs].
  • Wisely, CE; Wang, D; Henao, R; Grewal, DS; Thompson, AC; Robbins, CB; Yoon, SP; Soundararajan, S; Polascik, BW; Burke, JR; Liu, A; Carin, L; Fekrat, S, Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging., British Journal of Ophthalmology (2020) [10.1136/bjophthalmol-2020-317659] [abs].
  • Carin, L, On Artificial Intelligence and Deep Learning Within Medical Education., Academic Medicine : Journal of the Association of American Medical Colleges, vol 95 no. 11S Association of American Medical Colleges Learn Serv (2020), pp. S10-S11 [10.1097/acm.0000000000003630] [abs].