講者: 李達生博士 國立臺北科技大學 能源與冷凍空調工程系 終身特聘教授
時間: 2025/11/11 (二) 14:00-16:00
直播連結: https://reurl.cc/K9VY6n 或 掃描海報 QR code
講者簡介:
李達生博士為臺北科技大學終身特聘教授，兼任多個研究與產業顧問職務，致力整合產學研推動節能減碳技術。實務上，帶領團隊協助台灣19個產業、百餘工廠改善空壓機、冰水主機、冷卻水塔與鍋爐，並導入AI深度節能。研究方面，2015~2024年專注AI應用於節能減碳，在SCI發表28篇相關論文，總發表47篇，廣受引用，並獲2024年Stanford「全球前2%頂尖科學家」肯定。
演講大綱:
本演講將探討自2016年起，臺北市TPMO推動315件PoC智慧城市專案，助力城市智慧建設與永續發展。2024年，臺北在Smart City Index與Cities in Motion Index中分別位列16與27名，碳排放自12,409,700降至10,931,500噸，減碳11.9%。研究發現，大企業與中小企業協力形成economy co-evolution loop，是提升智慧程度與永續發展的關鍵。基於five-stage整理法，提出six-stage AI Driven Smart City Framework，結合AI research loop與PoC duplicate loop，可量化導入AI，建構智慧永續城市。
主辦單位：智慧運算學院、人工智慧研究中心
※本活動無需報名
公告單位：智慧運算學院
承辦人：劉宇婷
聯絡分機：409-2501
Topic: Agentic AI in Action: Integrating Autonomous Systems at NCHU
Speaker: Dr. Da-Sheng Lee – Lifetime Distinguished Professor, National Taipei University of Technology & Director, Taipei Smart City Project Management Office"
Time: November 11, 2025 (Tuesday), 2:00 – 4:00 p.m.
Join Online: https://reurl.cc/K9VY6n or scan QR code on poster
About the Speaker:
Dr. Da-Sheng Lee is a Lifetime Distinguished Professor at National Taipei University of Technology and holds multiple leadership roles, including Director of TPMO and Technical Director at ITRI’s Green Energy Labs. He integrates academia, industry, and research to implement energy-saving and carbon-reduction technologies. His team has assisted over 100 factories across 19 sectors in Taiwan, optimizing air compressors, chillers, cooling towers, and boilers, and introduced AI-driven solutions achieving deep industrial energy savings. From 2015–2024, he published 28 SCI papers on AI for energy efficiency, with 47 SCI/EI papers total, earning recognition as a top global author and a 2024 Stanford World’s Top 2% Scientist.
Abstract:
Since 2016, Taipei’s TPMO has implemented 315 PoC projects to advance smart city development. By 2024, Taipei ranked 16th in the Smart City Index and 27th in the Cities in Motion Index, while carbon emissions fell 11.9% from 12,409,700 to 10,931,500 tons CO₂, showing that smart initiatives also drive sustainability. Using a five-stage framework to standardize PoC data, the study finds collaboration between large corporations and SMEs/startups forms an “economy co-evolution loop,” key for intelligence and sustainability. A six-stage AI-Driven Smart City Framework is proposed, integrating city-scale evaluation, AI research loops, and PoC duplicate loops to guide citywide AI deployment.
Organizers: College of Intelligent Computing & Artificial Intelligence Research Center
※ No registration needed.
Contact person：Daisy Liu
Contact number：409-2501