News

Nov 08, 2024 I presented “Active Abductive Learning of Multigenic Interactions from High-Throughput Repression Screening Data” at AAAI Fall Symposium on Integrated Approaches to Computational Scientific Discovery (Online).
Sep 22, 2024 I presented Active learning of digenic functions with boolean matrix logic programming at the 4th International Joint Conference of Learning and Reasoning (Nanjing, China).
May 01, 2024 I received my PhD degree in Computing Research. Here is my thesis on “Effects of Machine-Learned Logic Theories on Human Comprehension in Machine-Human Teaching”. I truly appreciate Prof. Stephen Muggleton for the amazing support and examiners (Prof. Francesca Toni and Prof. Nick Chater) for their insightful feedback.
Nov 15, 2023 I presented A Comprehensible Framework to Active Learning Genome-Scale Metabolic Networks at AAAI Fall Symposium on Artificial Intelligence for Synthetic Biology (Online).
Nov 14, 2023 I presented Explanatory machine learning for sequential human teaching at the 3rd International Joint Conference on Learning and Reasoning, IJCLR2023, (Bari, Italy).
Nov 02, 2023 I presented Effects of explaining machine-learned logic programs for human comprehension and discovery at The Dagstuhl Seminar on Approaches and Applications of Inductive Programming, Schloss Dagstuhl, Germany.
Sep 26, 2023 I presented Explanatory machine learning for sequential human teaching at Imperial College London explAIn Technical Workshop on Explainable AI, Interactivity, and Natural Language, London, UK.
Mar 27, 2023 I presented (abstract/slides) at AAAI Spring Symposium 2023 of Computational Approaches to Scientific Discovery, USA.
Jul 13, 2022 I presented (slides) at the Explainable AI Seminar, Imperial College London, UK.
Jun 07, 2022 I presented (poster) at Towards the future of AI workshop, Imperial College London, UK.
May 20, 2022 Our work Explanatory machine learning for sequential human teaching is accessible on arXiv.
Oct 25, 2021 I presented (poster/slides) at the International Joint Conference on Learning & Reasoning (IJCLR 2021).
Sep 21, 2021 I presented (poster) on “Beneficial and harmful explanatory machine learning” at the TAILOR Conference.
Jul 08, 2021 I was granted the best poster award by the Department of Computing, Imperial College London in the ICComputing Conference poster competition (poster).
Jul 07, 2021 I virtually presented poster on “Beneficial and harmful explanatory machine learning” at TAILOR network.
May 09, 2021 I virtually presented on “Beneficial and harmful explanatory machine learning” at Dagstuhl Seminar 2021.
Mar 12, 2021 Our work on “Beneficial and harmful explanatory machine learning” was published online in Machine Learning Journal.
Nov 19, 2020 I started working as a research assistant for EU TAILOR network.
Sep 09, 2020 Our work on “Beneficial and harmful explanatory machine learning” is accessible on arXiv.
May 11, 2020 I start working as Research Support Officer for UK EPSRC Human-Like Computing Network+.
Oct 01, 2019 I started my doctoral program under Prof. Stephen Muggleton’s supervision at Imperial College London.
Aug 01, 2019 I was awarded Master of Engineering (MEng) in Computing (Artificial Intelligence) at Imperial College London.