CSE Graduate Honors Competition showcases exceptional research by PhD students

November 18, 2024
The annual competition features research presentations by a selection of outstanding PhD students in CSE.
Ruei-Che Chang stands at a lectern holding a microphone, giving a presentation
Ruei-Che Chang presents his research project titled “WorldScribe: Towards Context-Aware Live Visual Descriptions”
Braden Crimmins stands at a lectern in front of a lecture hall, presenting his research which is projected on a screen behind him
Braden Crimmins presented his research on “Strengthening U.S. Elections”
Trenton Chang speaks at a lectern with a screen projection behind him
Trenton Chang presented his research on “Machine learning in a world of messy data.”
Yeyuan Chen stands presenting at a lectern, he is pointing to a formula on a projector screen
Yeyuan Chen presents his project titled “Explicit folded Reed-Solomon codes achieve list-decoding capacity”
Juechu Dong speaks at a lectern with a projector screen behind her
Juechu Dong gave a presentation on her project titled “Toleo: Scaling Freshness to Tera-scale Memory using CXL and PIM”

Five CSE PhD student finalists presented their research at the 21st annual CSE Graduate Honors Competition on November 12, 2024. The presentations showcased a wide range of groundbreaking topics, from election security to memory systems, reflecting the high quality and diversity of research being conducted by CSE graduate students.

Held annually each fall, the Honors Competition seeks to highlight and recognize excellent research done by PhD students in CSE. The event features 15-minute presentations by five finalists, who are specially selected by each of CSE’s five research labs.

The competition was judged by a faculty panel, with the top presentations announced during a reception following the event. Each finalist was honored with a certificate of appreciation and a cash award.

The 2024 presenters were as follows:

Braden Crimmins – First place
“Strengthening U.S. Elections”
Systems Lab
Advisor: Prof. J. Alex Halderman

Yeyuan Chen – Runner-up
“Explicit folded Reed–Solomon codes achieve list-decoding capacity”
Theory of Computation Lab
Advisor: Prof. Mahdi Cheraghchi

Ruei-Che Chang
“WorldScribe: Towards Context-Aware Live Visual Descriptions”
Human-Centered Computing Lab
Advisor: Prof. Anhong Guo

Trenton Chang
“Machine learning in a world of messy data”
Artificial Intelligence Lab
Advisor: Prof. Jenna Wiens

Juechu Dong
“Toleo: Scaling Freshness to Tera-scale Memory using CXL and PIM”
Computer Engineering Lab
Advisor: Prof. Satish Narayanasamy

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