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'
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|