A team of UCF researchers placed eighth in the 2025 EEG Challenge, a global machine learning competition that asks participants to predict behavioral responses from brain data. The Knights, who call themselves Team Marque, bested 8,400 submissions, including those from research labs and tech companies like Meta and Emotiv.
The winning team includes Mubarak Shah, the director of the UCF Institute of Artificial Intelligence (IAI); Helen Huang and Qiushi Fu, associate professors of biomedical engineering; Yue Wen, an assistant professor of biomedical engineering; Abhilash Durgam, a doctoral student who works in the Center for Research in Computer Vision; and Jerry Fu, a postdoctoral scholar mentored by Huang and Wen.
As top 10 winners, Team Marque 麻豆精品 S檚 code will be added to the competition 麻豆精品 S檚 open-source repository, contributing to the future advancement of EEG research. They also receive a certificate in recognition of their achievement. Shah says that placing in the top 10 at the world 麻豆精品 S檚 premier venue for AI and machine learning is a tremendous accomplishment for UCF and its newly established IAI.
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The competitors had to prevail in two individual challenges that utilized data from the Healthy Brain Network, which includes EEGs of more than 3,000 children who were multitasking. Challenge 1 asked the teams to improve the predicted reaction time of a subject seeing change in contrast of an image while Challenge 2 called for an improved prediction of mental health traits in a subject.
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The team 麻豆精品 S檚 efforts are more than just an accomplishment for themselves and for the university 麻豆精品 S� their code can now be used by scientists to advance EEG research.
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Team Marque came together after Durgam reached out to Huang to learn more about EEG. Each of them had already formed teams for the competition, but decided to combine efforts for better results. For Huang, the competition also had a personal connection as one of the organizers, Seyed Yahya Shirazi 麻豆精品 S�21PhD, is her former student.
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