{"679911":{"#nid":"679911","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Zhecheng Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZhecheng Wang, Postdoctoral Scholar from Stanford University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 28, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 101 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI-Enabled Computational Sustainability for Human-Centered Decarbonization and Climate Adaptation\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Data and information are critical for shaping a sustainable, climate-resilient future. Policymakers need granular spatiotemporal data on renewable energy adoption to design effective financial incentives. Infrastructure planners require detailed information about infrastructure vulnerabilities to prioritize upgrades for disaster risk mitigation. Individuals depend on timely situational awareness in the face of disasters. Unfortunately, much of this information is fragmented in \u201cinformation silos\u201d. In this talk, I will introduce my work on \u201cAI-Enabled Sustainability Informatics\u201d\u2014developing label-efficient, domain-aware AI models to bridge the information gaps, transforming large-scale, unstructured geospatial data (e.g., remote sensing images) into actionable sustainability insights.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EOn the AI front, I will present my work on (1) developing task-specific models that address the label scarcity and multi-modal fusion challenges for mapping distributed energy infrastructures (e.g., solar PVs, electricity distribution grid); and (2) creating task-agnostic, multi-modal AI foundation models for efficiently searching the Earth at scale. On the front of knowledge discovery for sustainability, I will present how I utilize these new models to build the first and, by far, the most comprehensive solar PV database in the U.S., advance our understanding of solar PV adoption and electrical grid vulnerability to wildfires, and generate actionable insights for designing effective solar PV incentives and affordable infrastructure upgrade plans. I will conclude this talk by sharing my vision on advancing computational sustainability to support human-centered climate adaptation.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EZhecheng Wang is a postdoctoral scholar at Stanford University. He received his Ph.D. degree in Civil and Environmental Engineering and a Ph.D. minor degree in Computer Science from Stanford University. His research centers on AI-enabled sustainability informatics\u2014combining problem-driven AI innovations with domain knowledge to transform large-scale, unstructured geospatial data into sustainability insights. The goal is to create new knowledge and AI-enabled solutions for accelerating decarbonization, improving disaster resilience, and ensuring equity. His research outcomes have been published in leading multi-disciplinary journals and AI conferences (e.g., Nature Energy, Joule, Nature Communications, AAAI), covered by many media outlets (e.g., MIT Technology Review, The Hill), and translated into a startup for advancing sustainable AI called GridCARE. He is a recipient of the Human-Centered AI Postdoctoral Fellowship and the Stanford Interdisciplinary Graduate Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZhecheng Wang, Postdoctoral Scholar from Stanford University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 28, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 101 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI-Enabled Computational Sustainability for Human-Centered Decarbonization and Climate Adaptation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: AI-Enabled Computational Sustainability for Human-Centered Decarbonization and Climate Adaptation"}],"uid":"36319","created_gmt":"2025-01-23 20:34:20","changed_gmt":"2025-01-23 20:39:41","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-01-28T11:00:00-05:00","event_time_end":"2025-01-28T12:00:00-05:00","event_time_end_last":"2025-01-28T12:00:00-05:00","gmt_time_start":"2025-01-28 16:00:00","gmt_time_end":"2025-01-28 17:00:00","gmt_time_end_last":"2025-01-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 101","extras":["free_food"],"hg_media":{"676113":{"id":"676113","type":"image","title":"Zhecheng Wang photo.jpg","body":null,"created":"1737664669","gmt_created":"2025-01-23 20:37:49","changed":"1737664669","gmt_changed":"2025-01-23 20:37:49","alt":"CSE Faculty Candidate Seminar Zhecheng Wang","file":{"fid":"259833","name":"Zhecheng Wang photo.jpg","image_path":"\/sites\/default\/files\/2025\/01\/23\/Zhecheng%20Wang%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/23\/Zhecheng%20Wang%20photo.jpg","mime":"image\/jpeg","size":138870,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/23\/Zhecheng%20Wang%20photo.jpg?itok=9OPq7nGi"}}},"media_ids":["676113"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr\u003Emhigh7@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}