Applied Fractional Calculus (AFC) International Workshop at Beijing Jiaotong University (BJTU)
AFC@BJTU
Sicne 2016, Applied Fractional Calculus International Workshop at Beijing Jiaotong University has been a one full day single track event with invited scholars active in the field of AFC. Unfortunately, due to pandemic, we paused a year (2020). Here is a list of Workshop Programs over the years (reverse chronicle) - if you are interested, click the link to the PDF of the Program booklet of the year:
- 2025. July 5th. Program Booklet.
- 2024: July 6th. Program Booklet
- 2023: Program Booklet
- 2022: Program Booklet
- 2021: Program Booklet
- 2020 (no event)
- 2019: Program Booklet
- 2018: Program Booklet
- 2017: Program Booklet
- 2016: Program Booklet
Prof. Chen's talks over the past years at the AFC@BJTU
- 6/27/2016. Fractional Order Thinking (分数阶思维) (Slides)
- 7/3/2017. Fractional Calculus View of Complex Worlds (复杂世界的分数阶微积分视角) (Slides)
- 7/3/2018. MAD about Variability: Fractional calculus meets big data (对变化性的建模分析设计MAD:分数阶微积分遇见大数据) (Slides)
- 7/8/2019. Optimal way to optimize using optimized randomness and its connection to fractional calculus (使用最优随机性的最优优化方法及其和分数阶微积分的联系) (Slides)
- 7/6/2020. webinar: Why big data and machine learning must meet fractional calculus? (全国复杂网络学术年会大会报告:为什么大数据和机器学习必须和分数阶微积分相遇?)(Slides)
- 7/3/2021. A new triangle: fractional calculus, renormalization group and machine learning (FC-RG-ML) 一个新的三角关系: 分数阶微积分 / 重整化群组 / 机器学习 三角关系) (Slides)
- 11/19/2022. Two Triangles: Complexity / Inverse Power Law / Fractional Calculus; and Fractional Calculus / Renormalization Group / Machine Learning (FC-RG-ML) (两个三角关系: 复杂性 / 逆幂律 / 分数阶微积分 三角关系 和 分数阶微积分 / 重整化群组 / 机器学习 三角关系)(Slides)
- 7/1/2023. ChatGPT, emergence, creativity, and fractional calculus (ChatGPT, 涌现, 创造性和分数阶微积分) (Slides)
- 7/6/2024. Irrational Filtering - What, Why and How (无理滤波 - 它是什么,为什么,如何做?) (Slides)
- 7/5/2025.Control theory for machine learning (CT4ML): from integer order to fractional order ( 控制理论助力机器学习:从整数阶到分数阶) (Slides)
- July 2026. tba. start to think - How to make machine learning smarter? from PI to CI (from physics-informed to complexity-informed) and why fractal and fractional calculi are inevitable? (如何使得机器学习更有智慧性? - 从物理知会的机器学习到复杂性知会的机器学习及为什么分形微积分和分数阶微积分不可避免)
If you have questions, contact the organizsers Professor Yongguang Yu (ygyu@bjtu.edu.cn) and myself (yqchen@ieee.org).
Links:
- FOSCC2025, Nanning, Guangxi, China Aug. 2025
- ICFDA2025, Algiers, Algeria. Dec. 2025. https://conferences.ifac-control.org/icfda2025/
- FOSCC 2024. http://foscc.learningconf.cn/ FOSCC TC Officie page: https://foscc.cust.edu.cn/
- ICFDA2024. https://icfda2024.sciencesconf.org/ (MESA Lab accepted papers)
- FOT4STEM Book Series: https://mechatronics.ucmerced.edu/FOT4STEM
4/11/2024 last updated by YangQuan Chen; last updated 7/8/24.