Overview
CAIR is an AI/ML research group at The University of Texas at Dallas that focuses on cutting-edge machine learning research and publication. Our teams work on advancing SOTA architectures and models through innovative research projects and collaborations. We welcome students and researchers from all backgrounds who are passionate about artificial intelligence. Our group meets regularly to discuss recent AI/ML papers and advance our own research initiatives. Our goal is to foster an inclusive, collaborative environment where members can gain hands-on research experience and contribute to the advancement of research in our fields.
Research Focus
Computer Vision, Neurosymbolic AI, Audio and Speech Processing, Multimodal Learning, and more
Collaborative Environment
Inclusive research group welcoming students and researchers from all disciplines
Innovation
Advancing state-of-the-art AI/ML through cutting-edge research and publications
Recruitment
CAIR is always looking for passionate researchers and students to join our team! We encourage students and researchers from all disciplines to get involved. If you're interested in joining our research group or collaborating on projects, please fill out the application form(s) linked below. We look forward to reviewing your application!
We welcome researchers at all levels - from undergraduate to doctoral students.
Who We're Looking For
- Passionate students interested in AI/ML
- Researchers from all disciplines
- Undergraduate to doctoral students
- Collaborative team players
What We Offer
- Hands-on research experience
- Publication opportunities
- Industry collaborations
- Professional development
People
Our research group brings together talented students and researchers to push the boundaries of artificial intelligence and machine learning, spanning multiple disciplines. Our members demonstrate intellectual curiosity, discipline and a passion for learning every single day. We maintain close collaborations with faculty advisors and industry partners who oversee our work. We strive to give the best possible research exposure to all our members.
- Current Members