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Yanfang (Fanny) Ye, Ph.D.

Galassi Family Collegiate Professor in Computer Science and Engineering
Department of Computer Science and Engineering
Associate Director of Applied Analytics
Lucy Family Institute for Data & Society
University of Notre Dame

Email: yye7 (at) nd (dot) edu
Website: http://yes-lab.org



Research Interests

"Innovation, research and education - for a better world!"

Website: Yes-Lab

I am the Galassi Family Collegiate Professor in Computer Science and Engineering (Endowed Chair Full Professor) in the Department of Computer Science and Engineering (CSE) and the Associate Director of Applied Analytics in the Lucy Family Institute for Data & Society at the University of Notre Dame. My research areas mainly include Artificial Intelligence, Machine Learning, Data Mining, Cybersecurity, and Pulic Health. As I have moved to the University of Notre Dame, please refer to our website for details of our work.


Position Openings: To Perspective Students and Postdocs

  • I am currently looking for multiple Ph.D. students and Postdocs doing supervised research or independent study with me in the CSE department at Notre Dame. If you are a well motivated and dedicated student pursuing a Ph.D. degree or postdoc related to the areas of AI/ML, Data Mining, Cybersecurity, and Public Health, please send me an email with your CV. Also, please refer to our website for details of our research work.

    The postdocs will be provided competitive packages and the Ph.D. students will be provided research assistantships which cover the full cost of tuition and offer the full year (12 month/year) stipend and benefits. I will work with each postdoc or student to identify the most suitable topic based on his/her academic interests and background. I will also help each postdoc or student to build his/her strong capability and publication record as well as the career development with a good timing. I very much enjoy working with each member in my group and take each postdoc or student as a friend and a collaborator. Doing research is to build an enjoyable career and have fun.

    My expectations on perspective Ph.D. students are: (1) honest, diligent, intelligent, and easy-going personality; (2) strong research potential, programming capability, mathematical background; and (3) dedicated to research and willing to publish in prestigious forums. The minimum requirements for Ph.D. students are: B.S. in Computer Science (applicants with a master degree will be preferred), or related fields, and other general admission requirements.