Research output per year
Research output per year
Personal profile
Biography
My name is Bahrul Ilmi Nasution. I have background in computational statistics and public policy which enables me in applying statistical analysis and machine learning to solve real-world problems, particularly related to the evidence-based policy. Most of my research discussed the implementations and developments of statistical analyses and machine learning for various cases in Indonesia, including Jakarta. Now I am interested in synthetic data publishing techniques using deep generative models, which is my PhD project. I am supervised by Prof. Mark Elliot and Prof. Richard Allmendinger. Prior to PhD student, I was a Data Scientist at Jakarta Smart City.
Qualifications
B.App.Stat. Statistical Computing, Politeknik Statistika STIS
MPP Public Policy, School of Government and Public Policy Indonesia
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Areas of expertise
- QA75 Electronic computers. Computer science
- Synthetic Data
- Representation Learning
- Fuzzy Clustering
- Metaheuristic Optimisation
- Generative AI
- HA Statistics
- Bayesian Inference
- Latent Variable Model
- Econometrics
Research Beacons, Institutes and Platforms
- Cathie Marsh Institute
Keywords
- Tabular data synthesis
- Data Science
- Bayesian Statistics
- Generative AI
Fingerprint
Dive into the research topics where Bahrul Nasution is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Multi-objective evolutionary GAN for tabular data synthesis
Ran, N., Nasution, B. I., Little, C., Allmendinger, R. & Elliot, M., 15 Apr 2024.Research output: Preprint/Working paper › Preprint
File41 Downloads (Pure) -
Data Analysis and Synthesis of COVID-19 Patients using Deep Generative Models: A Case Study of Jakarta, Indonesia
Nasution, B. I., Bhaswara, I. D., Nugraha, Y. & Kanggrawan, J. I., 26 Sept 2022, 2022 IEEE International Smart Cities Conference (ISC2).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
-
An evidence-based culture: COVID-19 positivity factors during the asymptomatic occurrence in Jakarta, lndonesia
Nasution, B. I., Nugraha, Y., Sulasikin, A., Wiguna, H., Kanggrawan, J. I., Suherman, A. L., Salama, N. & Oktavia, D., 26 Feb 2022, In: Science and Public Policy.Research output: Contribution to journal › Article › peer-review
-
COVID-19 Mortality Risk Factors Using Survival Analysis: A Case Study of Jakarta, Indonesia
Nasution, B. I., Nugraha, Y., Prasetya, N. L., Aminanto, M. E., Sulasikin, A., Kanggrawan, J. I. & Suherman, A. L., 20 Apr 2022, In: IEEE Transactions on Computational Social Systems.Research output: Contribution to journal › Article › peer-review
-
Revisiting social vulnerability analysis in Indonesia: An optimized spatial fuzzy clustering approach
Nasution, B. I., Kurniawan, R., Siagian, T. H. & Fudholi, A., 1 Dec 2020, In: International Journal of Disaster Risk Reduction. 51, p. 1-11 11 p., 101801.Research output: Contribution to journal › Article › peer-review