IDS Students

Institute of Data Science has a variety of PhD programs, in which we strive to be a leading force in education for the next generation of Data Science-centric professionals.

We have our in-house PhD Program which is jointly hosted with ISEP. We also have our first industrial-based PhD program hosted together with Grab Company. In addition, we have various PhDs based on different scholarsip fundings.

 



Tianyi Wu

Research Topics:
Trustworthy Large Language Models (LLMs), LLMs Security.

Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.



Yue Liu

Research Topics:
TBC

Supervisor:
TBC



He Yufei

Research Topics:
Foundation Models

Supervisor:
Bryan Hooi Kuen Yew,
Assistant Professor, Department of Computer Science.



Tan Daniel Jason Siy

Research Topics:
Multimodal Deep Learning, Clinical Decision Support, Time Series, Recommender Systems.

Supervisor:
Feng Mengling,
Assistant Professor, Saw Swee Hock School of Public Health.



Nguyen Thong Thanh

Research Topics:
Natural Language Generation, Cross-lingual Representation Learning, and Cross-domain Natural Language Inference.

Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.



Qu Leigang

Research Topics:
Multimedia Computing and Information Retrieval.

Supervisor:
Chua Tat-Seng,
Professor, Department of Computer Science.



Yu Runpeng

Research Topics:
Explainable Deep Learning and Deep Model Reuse.

Supervisor:
Wang Xinchao,
Assistant Professor, Electrical and Computer Engineering.



Yiqi Zhang

Research Topics:
High Performance Computing, Machine Learning Systems, and AI Acceleration

Supervisor:
Pending



Hu Zhiyuan

Research Topics:
Large language model (LLM) applications on task-oriented dialogue system, reasoning and calibration capability of LLM

Supervisor:
Bryan Hooi Kuen Yew,
Assistant Professor, Department of Computer Science.
Co-Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.



Li Ming

Research Topics:
Vehicle re-identification, cross-view geo-localization, and self-supervised representation learning.

Supervisor:
Jussi Keppo,
Associate Professor, Department of Decision Sciences.



Wang Kai

Research Topics:
Resource Efficient AI

Supervisor:
You Yang,
Assistant Professor, Department of Computer Science.



Wu Zhangjie

Research Topics:
Medical AI, Representation Learning, and Machine Learning.

Main Supervisor:
Shou Zheng Mike,
Assistant Professor, Electrical and Computer Engineering.
Co-Supervisor:
Wynne Hsu,
Professor, Department of Computer Science.



Zhang Junhao

Research Topics:
Computer Vison, Deep Learning and Robtics.

Supervisor:
Shou Zheng Mike,
Assistant Professor, Electrical and Computer Engineering.



Zhao Jingwei

Research Topics:
Computer music and machine learning.

Supervisor:
Wang Ye,
Associate Professor, Department of Computer Science.



Xia Yutong

Research Topics:
Urban data science, transportation, travel behaviour, urban computing.

Supervisor:
Roger Zimmermann,
Associate Professor, Department of Computer Science.

IDS PhD Program



Fiona Tan An Ting

Research Topics:
Natural Language Processing, Text mining, Relation Extraction.

Supervisor:
Ng See-Kiong,
Professor, Department of Computer Science.



Wang Naibo

Research Topics:
Federated Learning, Machine Learning and Artificial Intelligence.

Supervisor:
Ng See-Kiong,
Professor, Department of Computer Science.



Wu Zhaoxuan

Research Topics:
Multi-Party Machine Learning, Data-Efficient Machine Learning

Supervisor:
Low Kian Hsiang, Bryan,
Associate Professor, Department of Computer Science.



Xiong Miao

Research Topics:
Deep generative models; Differential privacy; Data mining

Supervisor:
Bryan Hooi Kuen Yew,
Assistant Professor, Department of Computer Science.



Gerard Christopher Yeo Zheng Jie

Research Topics:
Application of machine learning to investigate latent variables in Big Data.

Supervisor:
Cheung Wai Leung, Mike,
Associate Professor, Department of Psychology.



Li Yuan

Research Topics:
Federated Learning, Recommender Systems, Graph Neural Networks.

Supervisor:
He Bingsheng,
Professor, Department of Computer Science.
Co-Supervisor:
Bryan Hooi Kuen Yew,
Assistant Professor, Department of Computer Science.



Liu Jiawei

Research Topics:
3D Computer Vision, 3D Scene Understanding and Reconstruction.

Supervisor:
Shou Zheng Mike,
Assistant Professor, Electrical and Computer Engineering.
Co-Supervisor:
Jussi Keppo,
Associate Professor, Department of Decision Sciences.



Low Weng Fei

Research Topics:
3D Computer Vision, Scene Understanding, Embodied AI

Supervisor:
Lee Gim Hee,
Assistant Professor, Department of Computer Science.

JARVIS Project



Xu Lin

Research Topics:
Chat bot on healthcare and educating, natural language processing.

Supervisor:
Ng See Kiong, Professor, Department of Computer Science.



Zou Yingtian

Research Topics:
Medical AI, Time-series analysis, Meta-learning.

Supervisor:
Wynne Hsu, Professor, Department of Computer Science.
Co-Supervisor:
Lee Mong Li, Janice , Professor, Department of Computer Science.



Hanae Camille Carrie

Research Topics:
Computational Analysis of cell-free DNA Data in Liquid Biopsies.

Main Supervisor:
Wong Lim Soon,
Professor, Department of Computer Science.
Co-Supervisor:
Anders Jacobsen Skanderup,
Senior Research Scientist, Genome Institute of Singapore.



Li Yicong

Research Topics:
Visual relation detection and causal inference. Pair-wise relation among all objects in an image or a video that could be further used to build a relation graph.

Supervisor:
Chua Tat Seng,
Professor, Department of Computer Science.
Award:
School of Computing Dean’s Graduate Research Achievement Award (2022).



Liu Fusheng

Research Topics:
Optimization and Generalization of Deep Learning.

Supervisor:
Li Qianxiao,
Assistant Professor, Department of Mathematics.



Liu Zhiyuan

Research Topics:
Natural language processing - Equip machines with the ability of reasoning over knowledge bases and temporal data.

Supervisor:
Chua Tat Seng,
Professor, Department of Computer Science.



Shui Ruihao

Research Topics:
Research into detecting misinformation automatically, which includes assessing the credibility of tweets, fake news detection, and so on.

Supervisor:
Chua Tat Seng,
Professor, Department of Computer Science.



Wang Guangzhi

Research Topics:
Machine learning and computer vision, especially on data efficient learning, including few-shot learning, domain adaptation and meta learning. Gradient based learning.

Supervisor:
Kankanhalli, Mohan S,
Professor, Department of Computer Science.



Wang Tao

Research Topics:
Developing novel approaches and models to address current deep learning based object detection and instance segmentation models limitations and improve model performance for better real-world applications of detection and segmentation models.

Main Supervisor:
Yeo Boon Thye Thomas,
Professor, Department of Eletrical & Computer Engineering.
Co-Supervisor:
Wang Xinchao,
Assistant Professor, Department of Eletrical & Computer Engineering.



Christopher Hendra

Research Topics:
Machine learning techniques for direct RNA sequencing data.

Main Supervisor:
Alexandre Thiery,
Assistant Professor, Department of Statistics and Applied Probability.
Co-Supervisor:
Jonathan Goke,
Senior Research Scientist, A*STAR, Genomics Institute of Singapore.



Lee Jiahe Steven

Research Topics:
Multimodal fake news detection in social media.

Supervisor:
Wynne Hsu,
Professor, Department of Computer Science.
Lee Mong Li, Janice,
Professor, Department of Computer Science.



Wang Kaixin

Research Topics:
Computer Vision, Deep Reinforcement Learning and their intersections.

Main Supervisor:
Hooi Kuen Yew, Bryan,
Assistant Professor, Department of Computer Science.
Co-Supervisor:
Wang Xinchao,
Assistant Professor, Electrical and Computer Engineering.



Zhou Daquan

Research Topics:
Deep learning model compression and efficient model design.

Supervisor:
Chua Tat Seng,
Professor, Department of Computer Science.
Co-Supervisor:
Wang Xinchao,
Assistant Professor, Electrical and Computer Engineering.



Li Shen

Research Topics:
Deep Generative Models (VAE, Normalizing Flow and GANs) and their applications in various tasks in Computer Vision.

Supervisor:
Bryan Hooi Kuen Yew,
Assistant Professor, Department of Computer Science.
Award:
Google PhD fellowship 2021.



Ronald Wihal Oei

Research Topics:
Application of data science in healthcare to improve patient outcome.

Main Supervisor:
Lee Mong Li, Janice ,
Professor, Department of Computer Science.
Co-Supervisor:
Wynne Hsu,
Professor, Department of Computer Science.



Pan Zexu

Research Topics:
Data-driven multi-modal speech understanding, multi-modal temporal fusion methods and its application in speech processing. Including front-end processing of speech enhancement, speech separation and speech understanding such as speech emotion recognition.

Main Supervisor:
Wang Xinchao,
Assistant Professor, Department of Eletrical & Computer Engineering.



Guiherme Augusto Zagatti

Research Topics:
Applications of machine learning to social mobility and social network.

Main Supervisor:
Ng See-Kiong,
Professor, Department of Computer Science.



Jiang Jun

Research Topics:
Demand Management, including detecting factors influencing demand, demand & supply matching, etc.

Supervisor:
Chong Juin Kuan,
Associate Professor, Department of Marketing.



Xu Xiuqin

Research Topics:
Hybrid FAR-CNN model with application to natural gas demand and supply forecast; Deep state space model with application to sequential data.

Supervisor:
Chen Ying,
Associate Professor, Department of Mathematics.



Zhang Ge

Research Topics:
Data-driven methods (e.g., machine learning and deep learning) as well as stochastic control theory to study the optimization of rewarding system for electronic trading market based on LOB data of Singapore Exchange.

Main Supervisor:
Chen Ying,
Associate Professor, Department of Mathematics.

Singapore International Graduate Award (SINGA)



Brian Formento

Research Topics:
Deep learning, Computer vision, Domain adaptation, Transfer learning, Medical imaging.

Main Supervisor: Ng See Kiong, Professor, School of Computing.
Co-Supervisor: Chen Zhenghua, Dr, A*STAR.
Co-Supervisor: Foo Chuan Sheng, Dr, A*STAR.

Grab Industrial PhD (Enrolled 2019)



Goh Yong Liang

Research Topics:
Effective allocation of resources is at the core of ride-hailing businesses. In this work, we look at how to leverage current advances in graph neural networks and reinforcement learning to capture structural relationships in the world to maximize the allocation experience for passengers.

Supervisor:
Lee Wee Sun,
Professor, Department of Computer Science.



Hu Wenmiao

Research Topics:
Generative Adversarial Network (GAN), Computer Vision (CV) and Geoinformation extraction from spaceborne data. “GAN based graphic simulator for large-scale environment and its applications”.

Supervisor:
Roger Zimmermann,
Associate Professor, Department of Computer Science.



Johan Kok Zhi Kang

Research Topics:
Exploring deep learning techniques for resource allocation on data warehouses. Data mining and understand query patterns to be used to formulate resource allocation strategies using cloud infrastructures.

Supervisor:
He Bingsheng,
Professor, Department of Computer Science.



Lim Xiang Hui Nicholas

Research Topics:
User preferences and deep learning for recommendation problems, such as predicting where a user might visit next.

Supervisor:
Ng See-Kiong,
Professor, Department of Computer Science.
Co-Supervisor:
Bryan Hooi Kuen Yew,
Assistant Professor, Department of Computer Science.



Yang Suwei

Research Topics:
Traffic AI - all things related to traffic, for instance travel time estimation and routing. To apply artificial intelligence to problems in this domain. This includes coming up with the underlying algorithms as well as the effective application of the algorithms to the specific problems in the domain.

Supervisor:
Meel, Kuldeep S.,
Assistant Professor, Department of Computer Science.



Kiran Chari

Research Topics:
Deep Learning, Robustness, Distribution Shift, AI For Genomics

Main Supervisor: Ng See Kiong, Professor, School of Computing.
Co-Supervisor: Foo Chuan Sheng, Dr, A*STAR.
Co-Supervisor: Anders Skanderup , Dr, A*STAR.

JARVIS AY2020/21



Xu Lin

Research Topics:
Chat bot on healthcare and educating, natural language processing.

Supervisor:
Ng See Kiong, Professor, Department of Computer Science.



Zou Yingtian

Research Topics:
Medical AI, Time-series analysis, Meta-learning.

Supervisor:
Wynne Hsu, Professor, Department of Computer Science.
Co-Supervisor:
Lee Mong Li, Janice , Professor, Department of Computer Science.

CollabML AY2022/23



Pham Kieu Thao Nguyen

Research Topics:
Collaborative Machine Learning; Federated Learning; Data Valuation.

Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.

Co-Supervisor:
Low Kian Hsiang, Bryan,
Associate Professor, Department of Computer Science.



Zhao Zitong

Research Topics:
Collaborative Machine Learning, Data Ownership

Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.

Co-Supervisor:
Low Kian Hsiang, Bryan,
Associate Professor, Department of Computer Science.

CollabML AY2021/22



Xiaoqiang Lin

Research Topics:
Collaborative Machine Learning; Data Valuation; Zeroth-Order Optimization.

Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.

Co-Supervisor:
Low Kian Hsiang, Bryan,
Associate Professor, Department of Computer Science.



Apivich Hemachandra

Research Topics:
Deep Active Learning; Data Valuation; Machine Learning for Science

Supervisor:
Ng See Kiong,
Professor, Department of Computer Science.

Co-Supervisor:
Low Kian Hsiang, Bryan,
Associate Professor, Department of Computer Science.