Nghia Hoang
About
Education: B.Sc. in University of Science (Vietnam), 2009 Ph.D. in Computer Science, National University of Singapore (Singapore), 2015 – PhD Thesis Work Experience: 2015 - 2017: Research Fellow, National University of Singapore (NUS), Singapore 2017 - 2018: Postdoctoral Research Associate, Massachusetts Institute of Technology (MIT), Cambridge, MA 2018 - 2020: Research Staff Member, MIT-IBM Watson AI Lab, IBM Research (MIT-IBM), Cambridge, MA 2020 - 2022: Senior Research Scientist, AWS AI Labs (Amazon), Palo Alto, CA 2023 - present: Assistant Professor, EECS, Washington State University, Pullman, WA Professional Services: 2018: PC Member (ICRA, AAMAS, IJCAI, PAKDD, NIPS), Reviewer (IEEE-RA-L), Proposal Evaluator (AI Singapore Research Programme) 2019: PC Member (AAAI, ICLR, AAMAS, ICML, NeurIPS, IJCAI), Reviewer (T-PAMI) 2019: Proposal Evaluator (AI Singapore Research Programme), Workshop Organizer: Practical Bayesian Methods for Big Data, IBM Research AI Week – Website 2020: PC Member (AAAI, ICLR, ICML, NeurIPS, PRIMA, IROS, ICRA) 2021: SPC Member (IJCAI), PC Member (AAAI, ICLR, ICML, NeurIPS, IROS, ICRA), Workshop Organizer: NeurIPS-21 Workshop on New Frontiers in Federated Learning – Website 2022: SPC Member (AAAI), PC Member (ICML, ICLR, IJCAI, RSS, AISTATS, NeurIPS, IROS, ICRA), Proposal Evaluator (AI Singapore Research Programme) 2023: SPC Member (AAAI), AC (ECAI), PC Member (ICML, ICLR, UAI, AISTATS, NeurIPS, IROS, AAMAS), Board Member of Machine Learning Journal, Action Editor of Neural Networks, Proposal Evaluator (AI Singapore Research Programme) 2024: SPC Member (AAAI), AC (UAI, AISTATS, NeurIPS, ICLR), PC Member (ICML), Board Member of Machine Learning Journal, Action Editor of Neural Networks, Proposal Evaluator (AI Singapore Research Programme) 2025: SPC Member (AAMAS), AC (UAI, AISTATS, NeurIPS, ICLR, ICML), PC Member of Senior Member Track (AAAI), Board Member of Machine Learning Journal, Action Editor of Neural Networks
Research Performance Summary
First Recorded Paper
A multi-agent mechanism in machine learning approach to anti-virus system
Year: 2008
Citations: 2
Venue: KES International Symposium on Agent and Multi-Agent Systems: Technologies
Latest Recorded Paper
Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.06641
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.