{"668912":{"#nid":"668912","#data":{"type":"news","title":"ECE and SCS Duo Earns 2023 Qualcomm Innovation Fellowship","body":[{"value":"\u003Cp\u003EA team of Ph.D. candidates from Georgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/ece.gatech.edu\/\u0022\u003ESchool of Electrical and Computer Engineering\u003C\/a\u003E\u0026nbsp;(ECE) and the\u0026nbsp;\u003Ca href=\u0022https:\/\/scs.gatech.edu\/\u0022\u003ESchool of Computer Science\u003C\/a\u003E\u0026nbsp;(SCS) have been awarded a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.qualcomm.com\/research\/university-relations\/innovation-fellowship\/2023-north-america\u0022\u003E2023 North America Qualcomm Innovation Fellowship\u003C\/a\u003E\u0026nbsp;(QIF).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe winners, Payman Behnam and Jianming Tong, were awarded the fellowship for their project, \u201cSUSHI: Model-System-Accelerator Co-Design for Real-Time Latency\/Accuracy Navigation in Edge Applications.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research enables running machine learning (ML) models for interactive, real-time applications with greater accuracy, better responsiveness, and less energy spent. Specifically, the novel approach will enable a creation of family of ML models on a pareto-optimal curve for accuracy and runtime latency, and co-design schedulers and hardware to enable deployment of diverse models depending on the application demands and hardware availability.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project will expand on the\u0026nbsp;\u003Ca href=\u0022https:\/\/proceedings.mlsys.org\/paper_files\/paper\/2023\/hash\/0e65cd5d77a5e8b2d1f9ab31ba50b49b-Abstract-mlsys2023.html\u0022\u003Erecent research published\u003C\/a\u003E\u0026nbsp;at the International Conference on Machine Learning Systems 2023\u0026nbsp;by Behnam, Tong,\u0026nbsp;Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/tusharkrishna.ece.gatech.edu\/\u0022\u003ETushar Krishna\u003C\/a\u003E, and\u0026nbsp;Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~atumanov\/\u0022\u003EAlexey Tumanov\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe QIF program invests in Ph.D. students across a broad range of technical research areas. As part of the award, Behnam and Tong will receive a one-year fellowship, during which they will be guided and mentored by experienced Qualcomm engineers, synergistically amplifying the success of their proposed research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBehnam, a Ph.D. candidate in ECE, is advised by\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~atumanov\/\u0022\u003ETumanov\u003C\/a\u003E\u0026nbsp;in SCS, while Tong, a Ph.D. candidate in SCS, is advised by\u0026nbsp;\u003Ca href=\u0022https:\/\/tusharkrishna.ece.gatech.edu\/\u0022\u003EKrishna\u003C\/a\u003E\u0026nbsp;in ECE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENotably, Tumanov was himself a QIF finalist in 2014, while\u0026nbsp;\u003Ca href=\u0022https:\/\/ece.gatech.edu\/news\/2022\/11\/krishna-raychowdhury-win-qualcomm-faculty-awards\u0022\u003EKrishna was honored with a Qualcomm Faculty Award\u003C\/a\u003E\u0026nbsp;in 2021.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBehnam and Tong are the only Georgia Tech team to win a QIF this year, and the first team comprised solely of Georgia Tech Ph.D. candidates to\u0026nbsp;\u003Ca href=\u0022https:\/\/ece.gatech.edu\/news\/2023\/03\/crafton-chang-tapped-qualcomm-innovation-fellowship\u0022\u003Ereceive the fellowship since 2019\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELast year, ECE Ph.D. candidate Rishov Sarkar, advised by Assistant Professor Cong (Callie) Hao in ECE,\u0026nbsp;\u003Ca href=\u0022https:\/\/ece.gatech.edu\/news\/2022\/09\/sarkar-awarded-qualcomm-innovation-fellowship\u0022\u003Ecollaborated with Zhiwen Fan from the University of Texas-Austin\u003C\/a\u003E\u0026nbsp;to win a QIF.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQualcomm Research\u2019s top engineers carefully review submitted proposals and select the QIF finalist through a multi-stage process spanning at least 6 months, who are then invited to present their proposals to a panel of executive judges. The QIF program has experienced continued growth with over 100 proposals submitted each year in the U.S. and internationally, and has awarded over $15 million since it started in 2009 at Qualcomm\u2019s Research Center in Silicon Valley, Cali.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EHeader image caption:\u003C\/em\u003E\u0026nbsp;Qualcomm Innovation Fellowship\u0026nbsp;recipients\u0026nbsp;Payman Behnam (left) and Jianming Tong.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe QIF program invests in Ph.D. students across a broad range of technical research areas. As part of the award, Behnam and \u003Ca\u003ETong \u003C\/a\u003Ewill receive a one-year fellowship, during which they will be guided and mentored by experienced Qualcomm engineers, synergistically amplifying the success of their proposed research.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Ph.D. candidates Payman Behnam and Jianming Tong recognized for machine learning research on enhanced navigation capabilities of edge applications."}],"uid":"36172","created_gmt":"2023-08-10 23:49:47","changed_gmt":"2023-08-11 13:16:00","author":"dwatson71","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-08-10T00:00:00-04:00","iso_date":"2023-08-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671374":{"id":"671374","type":"image","title":"Qualcomm Innovation Fellowship_Behnam and Tong2.jpg","body":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EGeorgia Tech Ph.D cand Payman Behnam and Jianming \u003Ca\u003ETon\u003C\/a\u003Eg, were awarded the fellowship for their project, \u201cSUSHI: Model-System-Accelerator Co-Design for Real-Time Latency\/Accuracy Navigation in Edge Applications.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","created":"1691711404","gmt_created":"2023-08-10 23:50:04","changed":"1691711404","gmt_changed":"2023-08-10 23:50:04","alt":"Photo graphic of Georgia Tech Ph.D cand Payman Behnam and Jianming Ton.","file":{"fid":"254410","name":"Qualcomm Innovation Fellowship_Behnam and Tong2.jpg","image_path":"\/sites\/default\/files\/2023\/08\/10\/Qualcomm%20Innovation%20Fellowship_Behnam%20and%20Tong2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/08\/10\/Qualcomm%20Innovation%20Fellowship_Behnam%20and%20Tong2.jpg","mime":"image\/jpeg","size":3305084,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/08\/10\/Qualcomm%20Innovation%20Fellowship_Behnam%20and%20Tong2.jpg?itok=n_xlvEsr"}}},"media_ids":["671374"],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[{"id":"109","name":"Georgia Tech"},{"id":"166855","name":"School of Electrical and Computer Engineering"},{"id":"166941","name":"School of Computer Science"},{"id":"181440","name":"Qualcomm Innovation Fellowship"},{"id":"192946","name":"Payman Behnam"},{"id":"192947","name":"Jianming Tong"},{"id":"192948","name":"edge applications"},{"id":"173453","name":"Tushar Krishna"},{"id":"192950","name":"Alexey Tumanov"},{"id":"192951","name":"soft real-time ML"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDan Watson\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["dwatson@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}