• Explore
    • Contact Us
  • Faculty
  • Research
    • Research Areas
    • Research Centers
  • Graduate Degrees
    • Computer Science Programs
    • Current Graduate Students
  • Undergraduate Degrees
  • News & Events
    • News
    • Seminar Series
    • Distinguished Lecture Series
    • Research Showcase
  • Apply Now
    • Undergraduate Admissions
    • Graduate Admissions
    • Faculty Candidates

Smyth listed as one of ‘20 Data Science Professors To Know’

May 19, 2017

Padhraic Smyth, computer science professor and director of the UCI Data Science Initiative, was recently named as one of “20 Data Science Professors To Know” by Online Engineering Programs, an online information site that addresses educational questions and provides career content for engineering and computer science professionals. The 20 data science professors selected were chosen according to their employment at a respected university, doctoral degree, contributions to impactful publications and commitment to organizations and causes outside of their academic institution.

Smyth’s research specializes in artificial intelligence, machine learning databases and data mining. He was noted for his previous paper on “Content Coding of Psychotherapy Transcripts Using Labeled Topic Models” in the IEEE Journal of Biomedical and Health Informatics (2015) and for his teaching of projects in AI, probabilistic learning and data science.

« Tsudik awarded NSF grant for IoT research
CS Research Showcase continues to provide a platform for students to showcase their work »

Latest news

  • Wired: “Google Has a Plan to Stop Its New AI From Being Dirty and Rude” (Sameer Singh quoted) May 12, 2022
  • NSF Announces 2022 Graduate Research Fellows May 2, 2022
  • Alumni Spotlight: Ludovico Verniani ’21 Rewards Adventure With Quadra App April 28, 2022
  • UCI Celebration of Teaching Honors Three ICS Faculty Members April 26, 2022
  • UCI Machine Learning Repository to Host 2022 ML Hackathon April 26, 2022
  • © 2022 UC Regents
  • Feedback
  • Privacy Policy