Teaching Highlights and Recent Awards

I have taught undergraduate and graduate courses ranging from small graduate classes to lectures with more than 700 students.

• Faculty of Science Teaching Excellence Award, 2025.
• Faculty of Science Award for Mentorship Excellence (Research), 2023.
• NUS Annual Teaching Excellence Award, 2022.
• Engineering Educator Award, 2020 and 2021.

Teaching Resources

• Meeting the Bar in Teaching for Tenure-Track Assistant Professors, Asian Journal of the Scholarship of Teaching and Learning, 11(1), 64–72, May/Jun 2021.
• Talk on teaching MA4270 Data Modelling and Computation over four iterations.
• EE2012A Analytical Methods in ECE video lectures.
• EE5137 Stochastic Processes video lectures.
• EE2211 Introduction to Machine Learning notes.

Courses Taught at NUS

Click on any course title below to view representative student feedback.

Recent courses: 2020–2026

Term	Course Code	Course Title	Type	Score (out of 5)	Students
Fall 2026	MA6225	Topics in Machine Learning	Lec	--	--
Spring 2026	EE6138	Optimization for ECE (Advanced)	Lec	4.9	10
Spring 2026	EE5138	Optimization for ECE	Lec	4.8	25
Spring 2025	EE5137	Stochastic Processes	Lec	4.7	24
Fall 2024	MA4261	Information and Coding Theory	Lec/Tut	4.8/4.8	35/34
Spring 2024	EE2012	Analytical Methods in ECE	Lec/Tut	4.7/4.4	86/35
Fall 2023	DSA3102	Essential Data Analytics Tools: Convex Optimisation	Lec/Tut	4.2/4.2	189/27
Spring 2023	EE2211	Introduction to Machine Learning (Co-taught with Prof. Xinchao Wang)	Lec	4.2	710
Fall 2022	TG1401	Engineering Mathematics I	Tut	4.8	17
Spring 2022	EE2012A	Analytical Methods in ECE [YouTube]	Lec/Tut	4.5/4.5	45
Spring 2022	EE5137	Stochastic Processes	Lec	4.9	45
Fall 2021	MA4270	Data Modelling and Computation	Lec/Tut	4.6/4.6	74
Spring 2021	EE5137	Stochastic Processes [YouTube]	Lec	4.9	44
Spring 2021	EE2211	Introduction to Machine Learning	Tut	4.8	52
Fall 2020	EE2211	Introduction to Machine Learning [Notes]	Tut	4.8	83
Spring 2020	EE5137	Stochastic Processes	Lec	4.8	51

Earlier courses: 2006–2019

Term	Course Code	Course Title	Type	Score (out of 5)	Students
Fall 2019	MA3110	Mathematical Analysis II	Lec/Tut	4.9/4.9	25
Fall 2019	EE5139	Information Theory for Communication Systems	Lec	4.8	30
Spring 2019	MA6241	Bandit Algorithms	Lec	4.7	11
Fall 2018	EE5137	Stochastic Processes	Lec	4.8	48
Spring 2018	MA4270	Data Modelling and Computation	Lec/Tut	4.4/4.3	67
Fall 2017	EE5137	Stochastic Processes	Lec	4.8	40
Spring 2017	MA4270	Data Modelling and Computation	Lec/Tut	4.6/4.6	37
Fall 2016	EE5139R	Information Theory for Communication Systems	Lec	4.96	8
Spring 2016	MA4270	Data Modelling and Computation	Lec/Tut	4.86/4.88	21
Fall 2015	EE5139R	Information Theory for Communication Systems	Lec	4.68	7
Spring 2015	EE5138R	Optimization for Communication Systems	Lec	4.20	16
Spring 2015	EE2012	Analytical Methods in ECE	Tut	4.23	23
Fall 2014	EE5139R	Information Theory for Communication Systems	Lec	4.94	22
Fall 2013	EE5139R	Communication Systems (Co-taught with Prof. Mehul Motani)	Lec	4.61	39
Spring 2013	EE2012	Analytical Methods in ECE	Tut	4.46	40
Fall 2012	EE5139R	Communication Systems (Co-taught with Prof. Mehul Motani)	Lec	4.52	50
Fall 2006	EE2012	Analytical Methods in ECE	Tut	4.70	25

“Lec/Tut” indicates that I taught both the lecture and tutorial components. Where two scores or enrolment figures are shown, they correspond to the two components.

Earlier Teaching Experience

Fall 2011: Multi-terminal Information Theory at UW–Madison

Spring 2010: Teaching Assistant for 6.437 Inference and Information at MIT

Rating 6.4/7.0: Review Quotes

Fall 2008: Teaching Assistant for 6.241 Dynamic Systems and Control at MIT

Rating 6.5/7.0: Review Quotes

IAP 2008–2010: Co-Instructor for 6.097 Review of Signals and Systems at MIT

Average rating 6.0/7.0: Review Quotes

Outreach

• NUS Faculty of Science Open Day video.
• Checklist for giving a good technical talk in systems, communications, control, and signal processing, co-authored with Stark C. Draper.