{"693616":{"#nid":"693616","#data":{"type":"news","title":"Georgia Tech Machine Learning Center Celebrates Student Research at Annual ML@GT Student Conference","body":[{"value":"\u003Cp\u003E\u003Cem\u003EATLANTA\u003C\/em\u003E \u2014 Machine learning PhD students from across Georgia Tech showed off their work on Friday, October 16, 2026, at the ML@GT Student Conference. The Machine Learning Center (ML@GT) hosted the event, which brought together faculty and students from labs and disciplines across campus.\u003C\/p\u003E\u003Cp\u003EThe conference had three goals: to showcase research by ML@GT\u0027s PhD students, to show students what\u0027s happening in other labs and fields, and to build more collaboration across the Center.\u003C\/p\u003E\u003Cp\u003EThe program included 12 student presentations across four research themes. More than 20 posters were on display during the poster session. Topics ranged from efficient prediction and protein modeling to brain-computer interfaces, seizure detection, and acoustic perception.\u003C\/p\u003E\u003Cp\u003EAttendees, including Georgia Tech faculty and students, voted for their favorite presentations and posters. Prizes went to the top three in each category.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EPresentation Awards\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022ed1149e29822421e9dade71ef6f651544\u0022\u003E\u003Cstrong\u003E1st Place:\u003C\/strong\u003E Hangyu Zhou, \u0022Learning Computational Structure for Sample-Efficient Prediction\u0022 - School of Computer Science, advised by Steve Mussmann\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e61b816ad12938ed81bad9fa7b51b9e85\u0022\u003E\u003Cstrong\u003E2nd Place:\u003C\/strong\u003E Darin Tsui, \u0022Protein Circuit Tracing via Cross-layer Transcoders\u0022 - School of Electrical and Computer Engineering, advised by Amirali Aghazadeh\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e7b8f914b44e94f5d846390004eda2f5a\u0022\u003E\u003Cstrong\u003E3rd Place:\u003C\/strong\u003E Pranav Deevi, \u0022FETTUCCINE: Fast and efficient brain-to-text decoding on mobile devices\u0022 - School of Biomedical Engineering, advised by Chethan Pandarinath\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cstrong\u003EPoster Awards\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e5a1d40c15a7358bacef533a5cc5e63e2\u0022\u003E\u003Cstrong\u003E1st Place:\u003C\/strong\u003E Hyunju Kim, \u0022Spatiotemporal Hyperedges for EEG Seizure Detection and Prediction\u0022 - School of Computational Science and Engineering, advised by Nabil Imam\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ef2113b74def5830402867fb20b65fb7e\u0022\u003E\u003Cstrong\u003E2nd Place:\u003C\/strong\u003E Benjamin Burns, \u0022When, why, and how do diffusion posterior samplers fail? A finite-sample lens\u0022 - School of Electiral and Computer Engineering, advised by Sara Fridovich-Keil\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e57a47f03ac2bfcb8bb8d4419beac7d80\u0022\u003E\u003Cstrong\u003E3rd Place:\u003C\/strong\u003E Tianwei Jiang, \u0022Intelligent Acoustic Perception: From Sound Recognition to Multimodal Spatial Understanding\u0022 - School of Electrical and Computer Engineering, advised by David Anderson\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThe winning projects show the range of machine learning research at Georgia Tech. They include basic work on sample efficiency and generative models as well as applications in neuroscience, healthcare, biology, and audio.\u003C\/p\u003E\u003Cp\u003EThe ML@GT Student Conference gives students a chance to share their research and make connections across the Center. ML@GT congratulates all of this year\u0027s presenters and award winners.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EThis article was drafted with the help of Microsoft Copilot.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMachine learning PhD students from across Georgia Tech showed off their work on Friday, October 16, 2026, at the ML@GT Student Conference.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"ML@GT congratulates all of this year\u0027s presenters and award winners."}],"uid":"36518","created_gmt":"2026-10-29 16:42:14","changed_gmt":"2026-10-29 16:46:28","author":"shatcher8","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-10-29T00:00:00-04:00","iso_date":"2026-10-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"681591":{"id":"681591","type":"image","title":"2X6A1504.jpg","body":null,"created":"1793292243","gmt_created":"2026-10-29 16:44:03","changed":"1793292243","gmt_changed":"2026-10-29 16:44:03","alt":"Photo from ML@GT Student Conference","file":{"fid":"266015","name":"2X6A1504.jpg","image_path":"\/sites\/default\/files\/2026\/10\/29\/2X6A1504.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/29\/2X6A1504.jpg","mime":"image\/jpeg","size":3821787,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/29\/2X6A1504.jpg?itok=jTVMRE-0"}}},"media_ids":["681591"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[{"id":"194606","name":"Artificial Intelligence"}],"keywords":[{"id":"177339","name":"AI machine learning"},{"id":"176046","name":"applied machine learning"},{"id":"173555","name":"Center for Machine Learning"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}