Research Projects
Under the NEED programme, students are required to take on one of the following research projects (multiple project participation is not permitted) which will be jointly supervised by SUTD and CGU faculty. Students are advised to indicate their project preference when applying for the NEED programme.
AI Technologies for Intelligent Circuit Design
| Faculty | Research Project |
|---|---|
| • Mohan Rajesh Elara (SUTD) • Bing Sheu (CGU) |
Optimal Coverage Path Planning for Service |
| • Ngai-Man (Man) Cheung (SUTD) • Bing Sheu (CGU) |
AI Optimised for Digital Electronics |
| • Ngai-Man (Man) Cheung (SUTD) • TBA (CGU) |
Failure Analysis for VLSI using Machine Learning |
| • Teo Tee Hui (SUTD) • Bing Sheu (CGU) |
AI Chip Design Cybersecurity Chip Design (Integrated Circuits Design in Digital, Analog, Mixed-Signal and RF) |
| • Teo Tee Hui (SUTD) • Bing Sheu (CGU) |
Neuromorphic Chip Design (Integrated Circuits Design in Digital, Analog, Mixed-Signal and RF) |
| • Teo Tee Hui (SUTD) • I-Chyn Wey (CGU) |
AI Assist Chip Design (Digital Integrated Circuit Design) |
| • Yuen Chau (SUTD) • Bing Sheu (CGU) |
The Design of IoT to Support AI |
Design and Optimisation
| Faculty | Research Project |
|---|---|
| • Desmond Loke (SUTD) • Danny Barkan (CGU) |
Computational Design in Brain-Inspired Computing and Memory Applications |
| • Desmond Loke (SUTD) • Danny Barkan (CGU) |
Brain-Inspired Computing and Memory Applications Enabled by Novel Hardware Design |
| • Joel Yang (SUTD) • Jiunn-Woei Liaw (CGU) • Kou-Chen Liu (CGU) |
FDTD/FEM Simulation of FINFETs for Investigation of Plasmonic Effects |
| • Nagarajan Raghavan (SUTD) • Cher Ming Tan (CGU) |
Finite Element Modelling for Temperature – Moisture – Electrical – Mechanical (TMEM) Stress Effects on LEDs |
| • Shubhakar K (SUTD) • Pey Kin Leong (SUTD) • Danny Barkan (CGU) |
Simulation Study of Device Physics of FinFETs and SiNW Transistors and Its Reliability Issues |
Electronics for Robotics Control and Automation
| Faculty | Research Project |
|---|---|
| • Foong Shaohui (SUTD) • Hsin-Chun Lu (CGU) |
Development of a Structural Battery which also Functions as an Active Aerodynamic Surface of Aerial Craft (Robotics and Automation) |
| • Foong Shaohui (SUTD) • Danny Barkan (CGU) |
Integrated Electronics Design for Active Sensing of Aerodynamic Performance in Wings/Rotors of Aerial Crafts (Robotics and Automation) |
| • Foong Shaohui (SUTD) • TBA (CGU) |
Integrated Electronics Design for Active Actuation of Aerodynamic Performance in Wings/Rotors of Aerial Craft (Robotics and Automation) |
| • Mohan Rajesh Elara (SUTD) • Bing Sheu (CGU) |
Learning in Multi-Robot Teams (Robotics and Automation/AI Circuits & Systems) |
| • Mohan Rajesh Elara (SUTD) • Bing Sheu (CGU) |
Expressive AI Behaviors in Sociable robots (Robotics and Automation/AI Circuits & Systems) |
Machine Learning Based Reliability Assessment
| Faculty | Research Project |
|---|---|
| • Shubhakar K (SUTD) • TBA (CGU) |
TEM Characterisation of Degradation Mechanism in Advanced Devices (Data Analysis and Smart Devices) |
Data analytics and Electronics for Healthcare
| Faculty | Research Project |
|---|---|
| • Ngai-Man (Man) Cheung (SUTD) • TBA (CGU) |
Data Analytics for Bio-Medical Electronics (Would the Breath Sensor Analytics Idea Fit Here?) (Healthcare Engineering Design) |
| • Yang Hui Ying (SUTD) • Danny Barkan (CGU) |
Breath Sensor Network for Health Monitoring (Smart materials and devices/Healthcare Engineering Design) |
| • Yang Hui Ying (SUTD) • Kou-Chen Liu (CGU) |
Ultra-Sensitive Photon Detector Based on 2D Photoelectric Response Materials (Healthcare Engineering Design/Smart Materials and Devices) |
IC Design with Advanced Manufacturing
| Faculty | Research Project |
|---|---|
| • Joel Yang (SUTD) • Kou-Chen Liu (CGU) |
Fabrication and Study of Optical Resonances on FINFET Structures by Optical Spectroscopy |
| • Michinao Hashimoto (SUTD) • TBA (CGU) |
Digital Fabrication for Bio-Electronic Devices |
| • Michinao Hashimoto (SUTD) • Kin Fong Lei (CGU) |
Rapid Prototyping of 3D Printed Microfluidic Devices as Analytical Tools |
| • Yeo Kiat Seng (SUTD) • TBA (CGU) |
Design of a Low-Voltage Low-Power Millimeter-Wave Low Noise Amplifier |
| • Yeo Kiat Seng (SUTD) • TBA (CGU) |
Design of a High Efficiency Millimeter-Wave Power Amplifier |
| • Yeo Kiat Seng (SUTD) • TBA (CGU) |
Design of a Low-Voltage Low-Power 60GHz Phase-Locked Loop |
| • Yeo Kiat Seng (SUTD) • TBA (CGU) |
Design of a Wideband Low-Power 60GHz Voltage-Controlled Oscillator |
| • Yeo Kiat Seng (SUTD) • Cher Ming Tan (CGU) |
Millimeter-Wave Communication Systems for Low-Power Applications |
| • Yeo Kiat Seng (SUTD) • Cher Ming Tan (CGU) |
A 2.4GHz Ultra-Low-Power Radio for Cognitive Cameras |
| • Yeo Kiat Seng (SUTD) • Cher Ming Tan (CGU) |
Radiation Tolerant PLL |
| • Yeo Kiat Seng (SUTD) • Cher Ming Tan (CGU) |
Wideband Low Noise Amplifier-Mixer for Cognitive Radio Receivers |
Smart Materials and Devices
What's next
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Frequently asked questions
What is STEM-Unity?
STEM-Unity is a six-week experiential innovation programme by SUTD where students work in teams to solve real-world community challenges using SUTD’s Design·AI approach. Students learn human-centred design, design thinking, applied AI and prototyping, and turn their ideas into practical technology-enabled solutions.
How much are the programme fees?
The programme fee is S$1,000 per student before GST, or S$1,090 inclusive of 9% GST. Payment is made upon application.
How long is the programme?
The programme runs over six weeks, divided into two stages:
- Stage A – Learn & Ideate: Weeks 1–3
- Stage B – Build & Realise: Weeks 4–6
For a detailed breakdown of each stage, please refer to the “Programme run” page on our webpage.
How is the programme conducted? Is it in-person or online?
STEM-Unity uses a blended format combining online learning and in-person facilitation. Students will attend online consultation sessions during the programme with SUTD mentors. SUTD will facilitate the kick-off, pitching, and the Final Showcase in-person during the programme.
What will students learn?
Students will learn:
- Human-centred design and design thinking
- How to identify and solve real community problems
- Applied AI for ideation and prototype development
- Digital and physical prototyping
- Teamwork and collaboration
- Pitching and presentation
- Testing, feedback and iterative improvement
The programme is designed to develop creativity, empathy, critical thinking, communication, AI fluency and problem-solving skills.
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