Several undergraduate students are working on research projects with me.
Davi Frossard is working on travel modelling using recurrent neural networks. The goal is to improve the predictive performance of previous work on travel modelling by fitting more flexible models to the data. We will also be working on interpreting the RNN coefficients.
Ujash Joshi is working on photo orientation detection using convolutonal neural networks.
New! Paper accepted: Ujash Joshi and Michael Guerzhoy (2017) Automatic Photo Orientation using Convolutional Neural Networks. In Proc. of the Conference on Computer and Robot Vision, Edmonton, Alberta. IEEE (2017).
Joshua Samson-Seltzer is working on computer vision techniques for camera traps (co-supervised with Prof. Monika Havelka).
New! Book chapter accepted: Joshua Seltzer, Michael Guerzhoy, and Monika Havelka (2017). Computer vision methodologies for automated processing of camera trap data: a technological review. In Yuhong He (ed), High Spatial Resolution Remote Sensing: Data, Techniques, and Applications, CRC Press, Taylor & Francis Group, Boca Raton, Florida (2017).
Omobola Okesanjo is working on using reinforcement learning to measure the difficulty of games and several other RL projects.
Ramaneek Gill worked on hashtag recommendation and analysis in twitter data.
Karo Castro-Wunsch worked on music generation and stylization using recurrent neural networks.
If you already have a good background in machine learning, computer vision, or statistics, and have a project in mind, I'm happy to chat with you. I usually also have a few projects in mind that I could use someone's help with; they require working knowledge of at least one of machine learning or advanced applied statistics.
If you are just starting out, I recommend trying to do a few assignments from one of the online courses listed under Resoures here. This will probably give you ideas about what kind of projects you'd be interested in.
This may be possible, though it's generally easier at Princeton. Please send me an email.