{"672299":{"#nid":"672299","#data":{"type":"news","title":"Wan Recognized for Energy-Saving Research on Autonomous Systems","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/ece.gatech.edu\/\u0022\u003EGeorgia Tech Electrical and Computer Engineering\u003C\/a\u003E (ECE)\u0026nbsp;Ph.D. candidate\u0026nbsp;\u003Ca href=\u0022http:\/\/zishenwan.github.io\u0022\u003EZishen Wan\u003C\/a\u003E\u0026nbsp;received the Best Poster Award at the\u0026nbsp;\u003Ca href=\u0022https:\/\/ieeesystemscouncil.org\/event\/symposium\/2023-ibm-ieee-casseds-ai-compute-symposium\u0022\u003E2023 IEEE CAS\/EDS AI Compute Symposium\u003C\/a\u003E on November 28, 2023.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe award-winning poster, titled \u201c\u003Cem\u003ETowards Bit Error Robust Energy-Efficient Autonomous Systems\u003C\/em\u003E\u201d, presents a cross-layer robust learning framework aimed at achieving aggressive energy-saving yet computational-resilient autonomous swarms.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe research tackles the challenges of the distributed resource-constrained nodes, complex cyber-physical autonomous systems and increased chip bit failures, by proposing innovative approaches including robust offline\/on-device learning, collaborative swarm optimizations, and dynamic thermal-payload adjustments.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EApplied across hardware chips, swarm systems, and various autonomous scenarios, the technique demonstrates consistent performance-efficiency-robustness improvements for multi-drone systems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EThis acclaimed research is a product of a collaborative effort between Georgia Tech, IBM Research, Harvard University, and \u003C\/span\u003E\u003C\/span\u003ELawrence Livermore National Laboratory\u0026nbsp;(\u003Cspan\u003E\u003Cspan\u003ELLNL). The work is supported in part by the Center for the Co-Design of Cognitive Systems (CoCoSys),\u0026nbsp;\u003Ca href=\u0022https:\/\/www.iarpa.gov\/research-programs\/microe4ai\u0022\u003Ethe IAPRA MicroE4AI program\u003C\/a\u003E, and the \u003Ca href=\u0022https:\/\/crnch.gatech.edu\u0022\u003ECenter for Research into Novel Compute Hierarchies (CRNCH) PhD Fellowship\u003C\/a\u003E.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZishen is advised by ECE professors \u003Ca href=\u0022https:\/\/ece.gatech.edu\/directory\/arijit-raychowdhury\u0022\u003EArijit Raychowdhury\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/ece.gatech.edu\/directory\/tushar-krishna\u0022\u003ETushar Krishna\u003C\/a\u003E. His research interests center around computer architecture, VLSI, and embedded systems, with a focus on building hardware and systems for cognitive intelligence and autonomous machines, aiming to advance their performance, efficiency, resilience, and trustworthiness.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe ECE Ph.D. candidate won the Best Poster award at the 2023 IBM IEEE AI Compute Symposium.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The ECE Ph.D. candidate won the Best Poster award at the 2023 IBM IEEE AI Compute Symposium."}],"uid":"36558","created_gmt":"2024-01-19 19:06:19","changed_gmt":"2024-01-22 15:04:11","author":"zwiniecki3","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-01-19T00:00:00-05:00","iso_date":"2024-01-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671865":{"id":"671865","type":"image","title":"Zishen_Wan_Headshot.JPG","body":"\u003Cp\u003EPh.D. candidate\u0026nbsp;Zishen\u0026nbsp;Wan\u0026nbsp;in the\u0026nbsp;Georgia Tech Electrical and Computer Engineering.\u003C\/p\u003E\r\n","created":"1695905237","gmt_created":"2023-09-28 12:47:17","changed":"1695905237","gmt_changed":"2023-09-28 12:47:17","alt":"Photo of Ph.D. candidate Zishen Wan in the Georgia Tech Electrical and Computer Engineering","file":{"fid":"255010","name":"Zishen_Wan_Headshot.JPG","image_path":"\/sites\/default\/files\/2023\/09\/28\/Zishen_Wan_Headshot.JPG","image_full_path":"http:\/\/tlwarc.hg.gatech.edu\/\/sites\/default\/files\/2023\/09\/28\/Zishen_Wan_Headshot.JPG","mime":"image\/jpeg","size":1270745,"path_740":"http:\/\/tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/09\/28\/Zishen_Wan_Headshot.JPG?itok=uSPjf3HR"}}},"media_ids":["671865"],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[{"id":"145","name":"Engineering"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"208","name":"computing"},{"id":"193436","name":"Energy-saving"}],"core_research_areas":[{"id":"39451","name":"Electronics and Nanotechnology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EZachary Winiecki\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["zwiniecki3@gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}