| No |
Supervisor |
Co-Supervisor |
Title |
Skills/Tools |
Industry Linked? |
Status |
Brief Description |
|---|
| 1 |
Aun Yichiet |
Png Wen Hao |
Carbon footprinting on Ethereum Blockchain |
- Ethereum
|
to be extendeded into... |
|
project details ⊳
To profile consumer products carbon footprint based on consumer consumption behaviors |
| 2 |
Goh Chuan Meng |
Not Available |
Development of Deep Learning algorithms for cell death prediction in in-Vivo imaging |
- Python
- Matlab
- any relaven computer vision programming
|
Preferably yes |
|
project details ⊳
This research aims to create advanced computational tools that can analyze in-vivo medical images to predict and identify instances of cell death. Cell death is a crucial aspect in various biomedical and clinical research areas, as it can provide insights into disease progression, treatment effectiveness, and tissue health. This research involves the design, training, and validation of deep learning models, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs), to process complex in-vivo imaging data. The ultimate goal of this research is to develop accurate and robust algorithms that can not only detect cell death events but also predict them in real-time or over specific timeframes. |
| 3 |
Khor Siak Wang |
Not Available |
Object Detection and Recognition |
- Mathlab
- C++
- Java
|
Preferably yes |
|
project details ⊳
To develop a system that could help detect and recognize the presence of an object. It's particularly useful in detecting some unusual activities, e.g. abandoned objects, intruders, vandalism, snatch thieves etc. |
| 4 |
Kiran Adnan |
Not Available |
Enhancing Cybersecurity through Advanced Threat Detection and Response Techniques |
- NVivo
|
Yes |
|
project details ⊳
This project aims to identify and assess advanced threat detection and response techniques. Also, it aims to explore the integration of new techniques with existing cybersecurity frameworks. And, to identify the challenges and limitations associated with the implementation of advanced threat detection and response techniques. |
| 5 |
Lim Seng Poh |
Not Available |
Performance Analysis of Differential Evolution on Benchmark Functions |
- C++ programming
|
No |
|
project details ⊳
Differential Evolution (DE) is one of
the popular evolutionary algorithms. Some of the previous works did not consider identifying suitable generation schemes and control parameters for producing trial vectors. Consequently, a longer duration is needed to produce good
results. With the increasing application of DE in solving optimisation problems, the performance of DE becomes an interesting topic to explore. Therefore, it is essential to study the performance of different DE models before applying
them in specific case studies. |
| 6 |
Muhammad Syaiful Amri bin Suhaimi |
Not Available |
Camera-based eye gaze and head movement tracking for online learning |
- Python
- Matlab
- any relaven computer vision programming
|
No |
|
project details ⊳
The main objectives is to track the eye
pupil or gaze using computer vision/image processing during an online class or a meeting. There are several challenges for the project: - The accuracy of gaze tracking using computer vision techniques
- The effect of
head/body movement to the tracking accuracy.
|
| 7 |
Png Wen Hao |
Not Available |
Image Synthesis using Generative Adversarial Network for Advanced Facial Feature Editing |
- python programming
- basic knowledge in deep learning
|
No |
|
project details ⊳
This project aims to train a GAN-based generative models for human facial feature editing. The project focuses in augmenting human facial features including ages, skin tones, hairstyle, and facial expression for wide range of photo-editing applications in photorealistic domains such as movies, advertising, and live streaming. |
| 8 |
Voice Conversion based on Unsupervised Conditional Generative Models for Vocal Feature Editing |
- python programming
- basic knowledge in deep learning
- some image processing techniques
|
|
project details ⊳
This project aims to explore the ability of conditonal GANs and transformer-based models for speech synthesis to convert human voice across different features including age, sex and emotions for wide range of sound-editing applications in domains such as movies, advertising, and live streaming. |
| 9 |
Ramesh Kumar Ayyasamy |
Not Available |
Developing a sentiment analysis model using generative pretrained transformer for education domain |
- Python programming
- basic knowledge in deep learning
- text mining techniques
|
No |
|
project details ⊳
This project aims to develop a sentiment analysis model using the generative AI techniques to evaluate ChatGPT-related tweets in education contexts.The categorization and analysis of thematic content within tweets provide valuable context for understanding the specific areas of education where ChatGPT is generating interest and discussion. |
|
|
|
Designed by : |
2024 |
|
|
|
Syed Muhammad |
DIS |
FICT |
UTAR |
