Research
My research focuses on
Deep Reinforcement Learning for Multi-Objective Scheduling
and Job Runtime Prediction to optimize
Green HPC systems. I am also applying cutting-edge
technologies aligned with Digital Twin 5.0 to enhance
system performance and sustainability.
My current research topics:
- [Reinforcement Learning-based Scheduling for HPC Systems] ([ICSSE]'23)
- [Job Resource Prediction] ( [FDSE]'24,[ICCMA]'21)
- [Deadline-based Backfilling] ([ACOMPA]'23, [ACOMP]'20)
- [Data-driven Modeling for Intelligent Digital Twins]
News
- [06/2025]: [I designed a new Dashboard in Google Looker Studio for listing my research projects. Find the stuffs you like and contact me if you want to become a part of my research team :)]
Selected Publications
Awards
Services
[4th International Conference on Advanced Network Technologies and
Intelligent Computing (ANTIC-2024)]
[2025 IEEE Symposium on Computer Applications & Industrial
Electronics (ISCAIE 2025)]
[The Journal of Supercomputing 2021-2022]
Mobile App Development [CO3043], Operating System [CO2017, CO2018], Computer Networks Labs [CO3094]
[Founder of Big Data Club, HCMUT], [Microsoft Student Learn Ambassador]
Miscellaneous
I am a fan of BlackBerry, although I am using Apple devices for daily use :)