Carnegie Mellon University

ML Minor and ML Concentration - Senior Projects

Sample of available research projects (updated March 2022). Contact your favorite professor for updates.

If you are working with a faculty member who is not Machine Learning Core Faculty, you need to be co-advised by a Core faculty member. Non-Core faculty members in the chart below are marked with an asterisk (*).



Leman Akoglu *

Interactive visualization and summarization of social circles in online social networks

Profiling users by inferring missing attributes from their friends'

Nina Balcan

Privacy Preserving Machine Learning

Life Long Learning

Artur Dubrawski * Learning to support decisions with complex data with applications including healthcare, medical imaging, equipment maintenance, nuclear safety and food safety (multiple projects available)
Bill Eddy * Verification of on-line forms for Census Bureau using record-matching and geographical data
Christos Faloutsos Visualization and interaction with large graph
Matt Gormley Machine Learning for Natural Language Processing
Eunsu Kang * Exploring the intersection and Art and Machine Learning. Looking into the possibility of Creative AI.
Ken Koedinger * Machine learning to model human learning and automate assessment and tutoring of math, science, and computer science in online courses

Jian Ma *

Decoding what's encoded in the human genome using machine learning.
Jack Mostow * Fit and tune student models using performance data from an individual student or small population of students.  The context is the XPRIZE Global Learning Challenge to develop an open source Android app for African children to learn basic reading, writing, and numeracy without human teachers.
Michael Tarr * Predicting neural vision data using deep networks
Jeremy Weiss * Machine learning for health care: forecasting disease complications
Kun Zhang * Causal analysis of air pollution