1. Akshay Narayan. Selective exploration methods for experience transfer in reinforcement learning (SoC, NUS, 2019) Currently as Lecturer at SoC, NUS, Singapore
2. Parvathy Sudhir Pillai. Multiview learning using dependency models for medical decision making (SoC, NUS, 2019) Currently at Mayo Clinic, USA.
3. Li, Zhuoru. Efficient hierarchical reinforcement learning through core task abstraction and context reasoning (SoC, NUS, 2018) Currently at Google Inc, USA.
4. Dinh, Thien Anh. Automated annotation of pathology-level findings in medical images (SoC, NUS, 2014). Currently at Zendesk Inc, in Australia
5. Nguyen Thanh Trung, Scalable model-based reinforcement learning in complex, heterogeneous environments (SoC, NUS, 2013). Currently at Netflix Inc, USA.
6. Nguyen Dinh Truong Huy. Toward intelligent assistances in collaborative games (co-supervised with Prof. Lee Wee Sun, NUS) (SoC, NUS, 2013). Currently at Google Inc, USA.
7. Yin, Hongli. A model driven approach to imbalanced data learning (SoC, NUS, 2011). Currently an entrepreneur, Singapore.
8. Ong, Chen Hui. Tracking multiple targets using mobile robots. (co-supervised with Prof. Leslie P. Kaelbling, MIT and Prof. David Hsu, NUS) (SMACS, 2010)
President’s Graduate Fellowship 2006. Currently as Cluster Director (Biztech Group) at Infocomm and Media Development Authority of Singapore, Singapore.
9. Zhu, Ailing. Toward a reliable protein-protein interactome. (co-supervised with Prof. Tomas Lozano-Perez, MIT) (SMACS, 2009) President’s Graduate Fellowship 2006, 2007. Previously at National University of Singapore, Singapore.
10. Joshi, Rohit. Context-sensitive networks. (SoC, NUS 2009). Currently as Chief Scientist at Vanguard, USA; previously at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), USA.
11. Li, Guoliang. Knowledge discovery with probabilistic graphical models. (SoC, NUS 2009) Currently as Full Professor at Huazhong Agricultural University, Wuhan, PRC.
Dean’s Graduate Award 2004, President’s Graduate Fellowship 2006, 2007.
12. Lin, Li. A discriminative framework for knowledge discovery. (SoC, NUS, 2008) Previously at University of Indiana-Purdue University Indianapolis, USA.
In progress:
1. Abhinit Kumar Ambastha. Automated disease characterizing through deep reinforcement learning (SoC, NUS)
2. Vo, Than Vinh. Causal modelling, transfer learning, and federated learning (SoC, NUS).
3. Evangalos Sigalas. Computational neural science. (SoC, NUS)
4. Fu, Di. Intelligent tutoring and learning systems. (SoC, NUS)
1. Jiang, Changan. Automated combination of probabilistic graphical models from multiple knowledge sources. (SoC, NUS, 2004) (Co-supervised with Prof. Poh Kim Leng, NUS)
2. Ding, Yang. Reinforcement learning in optimal ventilator control. (SMACS, 2003) (co-supervised with Prof. Leslie P. Kaelbling, MIT)
3. Wei, Songjie. Intelligent information integration for colorectal cancer management. (SMACS, 2003) (co-supervised with Prof. Stuart Madnick, MIT)
4. Zhu Ailing. Toward automated dynamic decision model construction for clinical practice guideline development. (SoC, NUS, 2002).
5. Qi, Xinzhi. Automated structural parameter learning in dynamic decision modeling (SoC, NUS, 2002).
6. Li, Jian. Trend abstraction and detection from clinical time-series data (SoC, NUS, 2001).
7. Sundaresh, Suman. Multi-level multi-perspective reasoning (SoC, NUS, 2000) Dean’s Graduate Award 2000
8. Zhao, Fu. A data preprocessing framework for supporting automated dynamic decision analysis in medicine (SoC, NUS, 2000)
9. Lau, Aik Hiang. Elicitation of probabilities from experts, (SoC, NUS, 1999).
10. Wang, Chenggang. Knowledge-based formulation of dynamic decision models in medicine, (SoC, NUS, 1999).
11. Zheng, Jianye. Consistency management in multiple perspective dynamic decision modeling, (SoC, NUS, 1998).
1.Wei, Pengfei. Transfer learning in dynamic conditions. Currently at ByteDance AI Lab, Singapore.
May 2019 – May 2021 (SoC, NUS).
2. Silander, Tomi. A cognitive probabilistic approach to representation discovery in uncertain and dynamic environments. Currently at Naver Labs Europe, France.
Sep 2010 to Nov 2013 (SoC, NUS)
3. Liu, Jiang, Jimmy. Intelligent prognostic analysis in medicine and Intelligent 3-D image analysis for decision support. Currently Professor at Southern University of Science and Technology, China.
Mar 2004 to Feb 2006 (SoC, NUS)
4. Kuralmani, Vellaisamy. Intelligent prognostic analysis in medicine. Perviously at Infocomm Research Institute Singapore (I2R)
Aug 2004 to Mar 2005 (SoC, NUS)
5. Han, Bin. Intelligent prognostic analysis in medicine.
Mar 2003 to Mar 2005 (SoC, NUS)
6. Li, Xiaoli. Machine learning and information retrieval. (SMACS). Currently Department Head and Principal Scientist at Infocomm Research Institute Singapore (I2R)
Jan 2003 to Jun 2004 (SoC, NUS)
7. Sarkar, Manish. Automated decision formulation from multiple medical knowledge sources. Previously at University of Connecticut, USA.
Jul 1999 to Jun 2001 (SoC, NUS)
8. Harmanec, David. A general framework of dynamic decision analysis in medicine and Time-critical dynamic decision modeling in medicine. Currently as CIO in an IT company, Czech Republic.
Apr 1997 to Aug 1999 (SoC, NUS)
9. Zhou, Zonglin. Automated decision formulation from multiple medical knowledge sources.
Dec 1997 to Nov 1998 (SoC, NUS)
10. Cao, Cungen. Machine learning from large clinical databases. Currently at Academia Sinica, China.
Oct 1995 to Dec 1997 (SoC, NUS)