Chia-Kang Hung



Short Bio

I graduated from Politecnico di Milano, Italy, with a master of science in Computer Science and Engineering in 2020. My thesis was "Bayesian Graph Convolutional Neural Network with uncertainty Estimation to Predict Mutagenicity of Chemicals." In FBK, I'm currently working on automated software testing and I am involved different cycles of software development.


    • Hung C, Gini G. QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction. Mol Divers. 2021 Aug; 25(3): 1283-1299. doi: 10.1007/s11030-021-10250-2. Epub 2021 Jun 19. PMID: 34146224.

    • Raihana Ferdous, Chia-kang Hung, Fitsum Kifetew, Davide Prandi, and Angelo Susi. 2022. EvoMBT at the SBST 2022 Tool Competition.