Memberships

Memberships: IEEE (former), IEEE CIS (former), NeSy Association, CiE, ACS, AAAI.

Invited Talks

• (2023) “Robust Artificial Intelligence”, Security Research Group at the University of Melbourne.
• (2023) “Neurosymbolic Artificial Intelligence: Theory, Applications, and Challenges”, Link, VinAI Research.
• (2023) “Ede AI: Bring AI to the real world”, FU-SAP Lab.
• (2022) “Towards Reliable and Robust Deep Learning with Neurosymbolic Computing”, Link, ICONIP (Reliable, Robust, and Secure ML special session).
• (2021) “Artificial Neural Networks, and their applications to research”, AAPP/IMAS machine learning workshop.
• (2018) Research Centre for Machine Learning at City, University of London.
• (2014) Dagstuhl Seminar on Neural-Symbolic Learning and Reasoning.

Chair/PC Member/Reviewer

• Session chair: AAAI 2023, ICONIP 2018.
• Program committee: AAAI (2014, 2023, 2024), IJCAI (2021,2022,2023), KR (2023) ACL(2019), AAMAS (2020, 2022), NeurIPs-KR2ML(2019, 2020), NeSy (2017, 2019), INLG (2019), PKADD DM-BPM (2017).
• Reviewer/sub-reviewer: AIJ (2022-present), IJAR (2023-present),IEEE TNNLS (2016-present), Neural Networks (2018-present), IEEE TETC(2018-present), IEEE CYB (2019-present).

Teaching

• KIT315: Machine Learning and Applications
• KIT509: Introduction to Artificial Intelligence
• KIT108: Artificial Intelligence
• KIT102: Introduction to Data Science
• KIT100: Programming Preparation

Students

Current

Jamal Maktoubian (PhD candidate)

Hieu Nguyen (PhD candidate)

Xinyi Wang (PhD candidate, formerlly a Masters student)

Jianping Yao (MRes)

Gemju Sherpa (Masters)

Past

Guan Huang (Masters, 2022)

Jiejun Huo (Masters, 2022)

Bijaya Bhattarrai (Honours, 2022)

Rami Mohawesh (PhD, 2022)

Yuchen Wei (PhD, 2022)

Yunjue Zhou (Masters, 2021)

Xinping Liu (Honours, 2020)

Wenke Zhao (Masters, 2020)