Hoa Khanh Dam

Registered user since Mon 6 Nov 2017

Name:Hoa Khanh Dam
Bio:

Hoa Khanh Dam is Associate Professor in the School of Computing and Information Technology, University of Wollongong (UOW) in Australia. He is Associate Director for the Decision System Lab at UOW, heading its Software Analytics research program. His research interests lie primarily in the intersection of Software Engineering and Artificial Intelligence (AI). He develops AI solutions for project managers, software engineers, QA and security teams to improve software quality/cybersecurity and accelerate productivity. His research also focuses on methodologies and techniques for engineering autonomous AI multi-agent systems.

Country:Australia
Affiliation:University of Wollongong
Research interests:Software Engineering, Artificial Intelligence, Software Analytics, Mining Software Repositories

Contributions

ASE 2021 Committee Member in Program Committee within the Research Papers-track
MSR 2021 Committee Member in Program Committee within the Technical Papers-track
SCORE 2021 Committee Member in Program Committee within the SCORE 2021-track
ASE 2020 Industry showcases Chair in Organizing Committee
Session Chair of AI for Software Engineering (4) (part of Research Papers)
University of Wollongong, Australia in Program Committee within the NIER track-track
Industry showcases Chair in Industry showcases Chair within the Industry Showcase-track
Committee Member in Program Committee within the Research Papers-track
ICSE 2022 Committee Member in Program Committee within the Technical Track-track
ESEC/FSE 2020 Author of Workload-Aware Reviewer Recommendation using a Multi-Objective Search-based Approach within the PROMISE 2020-track
MSR 2020 Ordinary PC member in Program Committee within the Technical Papers-track
ICSE 2021 Author of An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models within the Journal-First Papers-track
MSR 2019 Author of Lessons learned from using a deep tree-based model for software defect prediction in practice within the MSR 2019 Technical Papers-track
Author of DeepJIT: An End-To-End Deep LearningFramework for Just-In-Time Defect Prediction within the MSR 2019 Technical Papers-track
ICSE 2019 Author of Towards effective AI-powered agile project management within the New Ideas and Emerging Results-track
Author of Automatic feature learning for predicting vulnerable software components within the Journal-First Papers-track
MSR 2018 Committee Member in Program Committee within the Technical Papers-track
* ICSE 2018 * Author of Explainable Software Analytics within the NIER - New Ideas and Emerging Results -track
Author of Poster T9: Predicting components for issue reports using deep learning with information retrieval within the Posters -track