CSE - AI Trust and Reliability

The research in my lab is primarily focused on human biometrics and security, especially on iris recognition and methods of detecting unknown presentation attacks. But we conduct various projects in computer vision, machine learning and neural networks areas, with their non-obvious intersections with psychology, medical sciences, and art. For instance, I can offer undergraduate projects exploring areas such as (a) human-machine teaming that aims at enhancing trust in Artificial Intelligence, (b) building non-invasive mental healing approaches with the use of artificially-generated visual and audio stimuli (collaboration with the Psychology Department at ND and National Institute of Mental Health, and involving potentially modern eye tracking and VR headsets for data collection), or (c) methods of forensic iris recognition.

If you are interested in such research opportunities, please do whatever is required here in this system, but (and this is important) please schedule a meeting with me (just drop me an email at aczajka@nd.edu and we will find a good time to meet). I am not able to make admission decisions by only looking on CV, and I prefer to first meet with students to discuss their interest, expectations, and background. This makes a much better chance to put you on a project that you will love and will allow you to learn things you want.

Name of research group, project, or lab
AI Trust and Reliability Lab
Logistics Information:
Project categories
Computer Science & Engineering
Student ranks applicable
Junior
Senior
Hours per week
3 credits / 12+ hours
Compensation
Research for Credit
Number of openings
2
Contact Information:
Mentor
aczajka@nd.edu
Associate Professor
Name of project director or principal investigator
Adam Czajka
Email address of project director or principal investigator
aczajka@nd.edu
2 sp. | 1 appl.
Hours per week
3 credits / 12+ hours
Project categories
Computer Science & Engineering