| 1 |
Name of Project: Environmental Interactions in Social VR Spaces
Synopsis: This project looks into the different forms of interactions that can take place within a social VR environment, and how they might affect a user's sense of pressence and engagement within the space. Particularly, a prototypical VR environment will be developed as part of an experimental study to see the influence of different degrees of interaction on the user's experience within the space.
Name of PI: Assistant Prof Wang Yi Xiao
Programme/Pillar/Cluster: Design and Artificial Intelligence (DAI)
Location: Remote (for research meeting) and at SUTD (for user-testing)
Prerequisites: Nil (but experience with Unreal Engine will be good)
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 1
Interviews required: Yes, virtual interviews |
| 2 |
Name of Project: A Restorative, Bio-Robot Surface
Synopsis: In this project, we explore how bio-robot surfaces (a robot surface with biomimicry interaction design) can possibly contribute to people’s perceived restorativeness in an interior environment. This bio-robot surface is designed to be playful, fascinating, and elegant not only through the form factors, but the human-surface social interactions that manifest personalities (e.g., being shy, curious, etc.) and emotions (e.g., being happy, sympathetic, etc.). This bio-surface could serve as the prototype for an interior wall, a ceiling, a partition, or other architectural surfaces in a space where mental restorativeness or stress relief is desired. The aim of this project is to explore what socially interactive, architectural components can do for our everyday lives.
Name of PI: Assistant Prof Wang Yi Xiao
Programme/Pillar/Cluster: Design and Artificial Intelligence (DAI)
Location: Remote (for research meeting) and at SUTD (for user-testing)
Prerequisites: Nil (but familiarity of VR/AR will be good)
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 1
Interviews required: Yes, virtual interviews |
| 3 |
Name of Project: Magnet Optimisation for Head-only Portable MRI
Synopsis: The students will learn and use our in-house built magnet simulator, 'MagTetris' to design magnet array that is suitable for portable MRI.
Name of PI: Associate Prof Huang Shaoying
Programme/Pillar/Cluster: Engineering Product Development (EPD)
Location: SUTD (Lab 2.617)
Prerequisites: GCE O Level/Year 10 Physics and Math background
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 4 |
Name of Project: Finger MRI
Synopsis: The students will build a finger MRI based on a C-shaped magnet.
Name of PI: Associate Prof Huang Shaoying
Programme/Pillar/Cluster: Engineering Product Development (EPD)
Location: SUTD (Lab 2.617)
Prerequisites: GCE O Level/Year 10 Physics and Math background
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 5 |
Name of Project: Optimisation of Non-Linear Gradients for Portable MRI
Synopsis: The students will learn MRI basic physics, learn the working principle of MRI using non-linear gradient, and conduct optimization on the gradients for improving image quality in a portable MRI setup using permanent magnet array.
Name of PI: Associate Prof Huang Shaoying
Programme/Pillar/Cluster: Engineering Product Development (EPD)
Location: SUTD (Lab 2.617)
Prerequisites: GCE O Level/Year 10 Physics and Math background
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 6 |
Name of Project: Distance Algorithm for Computer Code Plagiarism and AI Detection using Machine Learning
Synopsis: This project strives to utilize text distance algorithm in the application of code similarity. One of the Pi has developed a text distance algorithm for comparing documents written in natural language. For this project, we would like to adapt this idea for programming languages (Python). One of the aim of the project is to compute the distance between different code submissions in order to detect plagiarism more easily. The students might consider comparing their results with existing plagiarism software like MOSS. A second objective is to verify whether code generated by an AI (like GPT3 or github copilot) can be identified. This is important to assess the quality of an AI submission since a correct program should also remain "human-like" for the sake of clarity.
Name of PI: Dr Cyrille Jegourel and Dr Oka Kurniawan
Programme/Pillar/Cluster: Information Systems Technology and Design (ISTD)
Location: Remote
Prerequisites: Programming language (Python at the very least)
Start Date of Project: End-Apr 2023
End Date of Project: Oct/Nov 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 7 |
Name of Project: Designing by Chatting with AI
Synopsis: In this project, we will explore the use of state-of-the-art Large Language Models (LLMs) such as OpenAI's ChatGPT and DALL-E, to reimagine the future of visual design software as one that is conversation-driven. Students will implement deep learning models and develop web applications.
Name of PI: Assistant Prof Immanuel Koh
Programme/Pillar/Cluster: Architecture and Sustainable Design (ASD) & Design and Artificial Intelligence (DAI)
Location: Remote, to be at SUTD when needed
Prerequisites: Skills in python programming is a must, including experience with deep learning libraries (e.g., TensorFlow / PyTorch)
Start Date of Project: Flexible. Up to 9 months
End Date of Project: Flexible. Up to 9 months
No. of students required: 1 to 2
Interviews required: No |
| 8 |
Name of Project: Detecting Anything in 360 with AI
Synopsis: In this project, we will explore the use of deep learning models (specifically sphercial convolutional neural networks), to perform detection of unique objects from 360-degree videos/images. Students will implement deep learning models and evalaute their performance.
Name of PI: Assistant Prof Immanuel Koh
Programme/Pillar/Cluster: Architecture and Sustainable Design (ASD) & Design and Artificial Intelligence (DAI)
Location: Remote, to be at SUTD when needed
Prerequisites: Skills in python programming is a must, including experience with deep learning libraries (e.g., TensorFlow / PyTorch)
Start Date of Project: Flexible. Up to 9 months
End Date of Project: Flexible. Up to 9 months
No. of students required: 1 to 2
Interviews required: No |
| 9 |
Name of Project: Development of a Collaborative Design Software
Synopsis: Design thinking is widely used in many organizations. While generic collaboration tools such as Miro are commonly used to support and digitize various design tasks (e.g. digital post-it brainstorming), they are not optimized and comprehensive in supporting the design process. A mixture of software tools is usually required to string pieces of early design information such as problem statements and design specifications to later design tasks such as design evaluation. Hence, this project aims to develop a design software that can guide and support designers (design students) working in collaborative teams to navigate the design process.
Name of PI: Dr Edwin Koh
Programme/Pillar/Cluster: Design and Artificial Intelligence (DAI)
Location: SUTD (on-campus)
Prerequisites: Python programming
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 10 |
Name of Project: Data Analysis and Platform for Sustainable City Population
Synopsis: Urban growth models can analyze and predict the attributes of a city as a function of population. They provide a better knowledge base for infrastructure development, transportation planning, and resource allocation and consumption. This information is crucial for sustainable city management, as the population in urban areas is expected to increase from 55% to 68% by 2050. This project is to use our developed model to further collect data for more testing. In the model, it assumes cities have memory effects: their response to change is not instantaneous in time. This time-lapsed effect is formulated under fractional calculus, which provides another parameter that can be used to explain the empirical data better. Using publicly available data from many countries, the team found that the new model shows better agreement than traditional alternatives for some urban attributes, such as congestion delay, water supply, and electricity consumption. In this project, the student will develop a computing platform or App that any users can use our model for data analytics for their own data. This project requires students with strong interests in data analytics and the ability to create a simple user-friendly platform. The platform once developed, we will explore interests from external parties to use it and for industry applications.
Name of PI: Professor Ricky Ang
Programme/Pillar/Cluster: Science, Mathematics and Technology (SMT) cluster
Location: SUTD (on-campus)
Prerequisites: Good mathematical skills and able to coding to solve equations.
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 11 |
Name of Project: Sheath Physics in Plasma: Collisional and Quantum Effects
Synopsis: In a plasma system, sheath physics on an electrode is important. For ions impinging to a positive biased electrode, the dynamics can be divided into collisionless or collisional models – described by the Child-Langmuir (CL) law or Mott-Gurney (MG) law. The transition between 2 models has been studied [1]. For a very thin-sheath region, the quantum effects may be important [2,3]. For this project, the student will explore 2 directions: (a) using fractional calculus to link the CL and MG law, or using the quantum CL and MH law to extend to sheath physics. This project requires strong analytical skills and interests in physics. The outcome of this project is to publish a journal paper beyond the FYP and can be as a UROP project in SUTD.
Name of PI: Professor Ricky Ang
Programme/Pillar/Cluster: Science, Mathematics and Technology (SMT) cluster
Location: SUTD (on-campus)
Prerequisites: Good mathematical skills and able to coding to solve equations.
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: Yes, virtual interviews |
| 12 |
Name of Project: Intelligent Chatbot to help Novice Programmers
Synopsis: Novice programmers requires immediate feedback to help them learn programming. This personalized feedback is traditionally given by instructors. However, face-to-face time with instructors limit students to obtain personalized and immediate feedback. In classroom, instructors are to attend to all the students in a class. Outside of the classrooms, students may not be able to get immediate feedback due to instructors availability. To allow personalized and immediate feedback for novice programmers, this project aims to develop an intelligent chatbot on Microsoft Teams that allow students to get a real-time and immediate personalized feedback.
Many tertiary institutions use Microsoft Teams (MS Teams) as one of the means of communication. Some courses use MS Teams as the main communication channel between instructors and students. Microsoft has released SDK to create application integrated directly into MS Teams. In this project we would like to develop MS Teams Tab and Chat application that allows students to get immediate and personalized feedback on their computing assignments. The application will make use of OpenAI API for natural language processing and CLARA which is an open source for program repair.
Students are to develop both a web application and a chat application that allows students to ask questions on their programming topics and assignments. Students should be able to submit their incorrect solution and get feedback on their errors and how to fix them. Students will then design an experiment on both the accuracy of the AI and the user experience of the chatbot.
Name of PI: Dr Cyrille Jegourel, Dr Kenny Choo and Dr Oka Kurniawan
Programme/Pillar/Cluster: Information Systems Technology and Design (ISTD)
Location: Remote (but at SUTD when needed)
Prerequisites: Python programming
Start Date of Project: Apr 2023
End Date of Project: Dec 2023
No. of students required: 2
Interviews required: No |