第43回エアロゾル科学・技術研究討論会
● 日時：2026年8月26日(水)～8月28日(金)
● 会場：金沢大学，石川県金沢市角間町
● 主催：日本エアロゾル学会
- sites.google.com/view/jaast43ku << 討論会 Website
- Program (pdf) プログラム
- Plenary Lecture: 8/26, 11:10-11:45 PM2.5 chemistry and visibility: A case study on source-transport-receptor interplay (PM2.5の化学・視程性：排出源・輸送・受容体の相互作用に関する事例研究), Li-Hao Young, Professor, Department of Occupational Safety and Health, China Medical University, Taiwan. (> more) Editor-in-Chief, Aerosol and Air Quality Research 雑誌編集委員長
- How to apply for participation in the Meeting【 参加申込方法 】参加申込は，参加費支払いシステム に必要事項を入力の上，送信してください。Please complete your registration by entering the required information in the participation fee payment system and submitting the form. 当日の会場での現金取り扱いは受け付けておりませんので、システムを用いた支払いをお願いします。なお、入金後の払戻しは致しません。Please note that cash transactions will not be accepted at the venue on the day of the event, and we kindly ask that all payments be made through the system. In addition, refunds will not be issued after payment has been received.
合同国際シンポジウム（日本・韓国・台湾）
- テーマ：Aerosols × AI: Science & Engineering for Air Quality and Health
- 日時：2026 年8 月27 日（木）8:55–12:30
招待講演者・講演題目
- K. Shimada (U. Ryukyus) 島田 幸治郎（琉球大学）：Creating New Preventive Medicine Using AIoT that Connects Air Pollution and Medicine
- M. Tsubokura (Kobe U./RIKEN) 坪倉 誠（神戸大学／理化学研究所）：From Fugaku-powered COVID-19 risk assessment to AI-driven indoor environment optimization.
- Wei‑Ren Ke（National Taiwan University）：Three-fluid nozzle spray drying for advanced inhalable dry powder formulations
- Yu‑Chieh Ting（National Taiwan University）：Explainable AI for Revealing Source and Chemical Leverage on Aerosol Oxidative Potential
- Jeong‑Hoon Lee（KOREATECH, South Korea）：Diagnosis of instability in the status of black carbon instruments using machine learning algorithms
- Jungho Hwang（Yonsei University, South Korea）：Environment-aware AI calibration of ATP bioluminescence for quantifying indoor airborne bacteria concentration
特集号Special Issue in Journal: Aerosol and Air Quality Research
>> https://link.springer.com/collections/adabcjcdbh (Submission deadline: 28 December 2026)
Aerosols & AI: Data-Driven Advances in Air Quality and Health
Guest Editors: Kojiro Shimada, Ji Yi Lee, Ta-Chih Hsiao, Yuji Fujitani, Mizuo Kajino
合同国際シンポジウムと連携し，Aerosols × AI に関する研究成果の投稿を広く募集する予定です。詳細は追って学会HP・ML等でご案内いたします。
This Topical Collection welcomes submissions on aerosol science and engineering, air quality, health, aerosol measurements, AI and machine learning, data-driven modeling, exposure assessment, data fusion, and related topics. Contributions associated with JAAST43 and the joint international symposium are particularly welcome. Manuscripts that fall within the scope of the Collection may also be submitted regardless of whether they are presented at the conference. Original articles, technical papers, review articles, and other manuscript types are welcome, provided that they fit the scope of the Collection. All submissions will undergo the journal’s standard editorial and peer-review process. Please refer to the Collection page and the AAQR submission guidelines for details.
