About Me
Hey! I am a PhD. graduate from National University of Singapore, School of Computing. The webpage serves as my own personal portal for my research and teaching growth as well as an online resume. You are welcome to check out any of the research articles in the research section. You may want to check out my Linkedin Profile.
Useful links for conference/journal:
- Conference Rankings:
- Journal Rankings:
- Conference call for paper deadlines
- ML Paper Tweets - AK @_akhaliq
Research
I am interested in scaling machine learning towards higher dimensions in Bayesian Optimization, Gaussian Processes, Convex and non-convex optimization and Reinforcement Learning. I am also interested in robustness concerns in machine learning.
Publications
| Date | Title | Venue | Organization |
|---|---|---|---|
| Jan.2024 | Structured Dimensionality Reduction Methods for Black-Box Adversarial Attacks with Bayesian Optimization Eric Han, Jonathan Scarlett |
Ongoing/Under-review | |
| Jul.2022 | Adversarial Attacks on Gaussian Process Bandits (arXiv, slides, poster) Eric Han, Jonathan Scarlett |
Proc. of the 39th International Conference on Machine Learning |  |
| Feb.2021 | High-Dimensional Bayesian Optimization via Tree-Structured Additive Models (arXiv, slides, poster) Eric Han, Ishank Arora, Jonathan Scarlett |
Proc. of the 35th AAAI Conference on Artificial Intelligence |  |
Academic Activities
| Date | Activity | Organization |
|---|---|---|
| 3.Aug.21 - 5.Aug.21 | NUS Computing Research Week 2021 - Program Committee, Moderator of the technical panel titled ‘Heterogeneity in Federated Learning’. |  |
| 9.Sep.19 - 12.Sep.19 | Gaussian Process Summer School 2019 - Attended the summer school at Sheffield. |  |
Education
| Period | Degree | Institution |
|---|---|---|
| 13.Aug.18 - 16.Jan.24 | Doctor in Philosophy (PhD) in Computer Science | |
| 12.Aug.13 - 31.Jan.18 | Bachelor of Computing (Computer Science) with Honours (Highest Distinction) | |
| 11.Jan.16 - 11.May.16 | Student Exchange to USC Viterbi School of Engineering (GPA: 4.0/4.0) |  |
Awards
| Date | Award | Category |
|---|---|---|
| 21.Apr.23 | Full-Time Teaching Assistant Award | Recognition of the high level of commitment to, and achievement of good teaching. |
| 1.Feb.22 | Certificate of Accomplishment | Long Service Award; In appreciation of the 5 years of service as a Graduate Tutor. |
| 21.Jun.18 | Outstanding Undergraduate Researcher Prize 2017/2018 (Individual) | Won for Final Year Project - Feature Subset Selection using Reinforcement Learning |
| 29.Jan.18 | Certificate of Merit in Algorithms & Theory Focus Area | Awarded for meritorious performance in the focus area |
| 15.Jan.18 | Dean’s List | Named to Dean’s List for meritorious performance in S1 AY2017/18 |
| 25.Jul.12 | A*STAR Undergraduate Scholarship | Awarded Scholarship, Class of 2012 |
Experience
| Period | Position | Project/Role | Organization |
|---|---|---|---|
| Since 8.Aug.18 | Graduate Tutor / Teaching Assistant | Teach lectures, tutorials and consultations; Managed tutors and gradings; Developed module tools. (See teaching) | |
| 2011 - 2023 | Church Volunteer | Head Of IT, Cell Group Leader, Tutor. |  |
| 1.Dec.17 - 26.Apr.18 | Project | Quality Control IT Project (Webapp, Android) |  |
| 27.May.16 - 19.Aug.16 | Software Engineering Intern | Designed and deployed Church Management System (CHMS) |  |
| 6.May.15 - 31.Dec.15 | Research Intern (DC Group) | Autonomous Machine Learning using HPC Approaches / A Cloud-based Collaborative Model Building Platform |  |
| 14.Jan.13 - 13.Jul.13 | Research Intern (DC Group) | Route My Day Project - Recommends routes and point-of-interests to users | |
| 10.Feb.11 - 9.Dec.12 | First Sergeant (1SG) Trainer | Managed and trained men/cadets |  |