Artificial Intelligence/Machine Learning Research

Our AI Research Program delves into the intersection of methods, applications and ethics of AI. Researchers develop novel methods to enhance capabilities, transparency and interpretability of AI models. Simultaneously, the program applies these techniques to real-world challenges: the usability of computer systems by people with disabilities, science problems and ensuring that AI technology benefits society responsibly and justly.

Academics and Coursework

Students may specialize their education around Artificial Intelligence/Machine Learning topics via these undergraduate and graduate level courses, as well as in a Graduate Certificate in Ethical Artificial Intelligence.

  • CSC 308: Introduction to Machine Learning for Interdisciplinary Data Scientists
  • CSC 508: Machine Learning and Data Science for Personalized Medicine
  • CSC 509: Data Science and Machine Learning for Medical Image Analysis
  • CSC 601: Data Science and Machine Learning for Biotechnology Seminar Series
  • CSC 602: Interview Preparation for Data Science and Machine Learning for Biotechnology Opportunities
  • CSC 621: Natural Language Technologies
  • CSC 665: Biomedical Imaging and Analysis
  • CSC 671: Deep Learning
  • CSC 676: Soft Computing and Decision Support Systems

CSC 820: Natural Language Technologies

CSC 821: Biomedical Imaging and Analysis

CSC 859: AI Explainability and Ethics

CSC 865: Artificial Intelligence

CSC 871: Deep Learning

CSC 872: Pattern Analysis and Machine Intelligence

CSC 874: Topics in Big Data Analysis

CSC 876: Soft Computing and Decision Support Systems

CSC 878: Big Data Platforms and Systems

CSC 890: Graduate Seminar - Advanced Artificial Intelligence

Faculty and Focus Areas

Wes Bethel

High performance computing, quantum computing, scientific computing, computer graphics, scientific visualization, artificial intelligence/machine learning, computer vision/image analysis, computer organization and architecture

Jozo Dujmovic

Computational intelligence: soft computing, graded logic, decision support systems

Anagha Kulkarni

Natural language processing, information retrieval, machine learning

Hui Yang

Data mining and machine learning, with a current focus on educational data mining/machine learning