I am a PhD Candidate at the College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU), Singapore. My research is supervised by Prof. A. S. Madhukumar and co-supervised by Dr. Tan Zheng Hui Ernest.
I primarily focus on machine learning for resource allocation and optimization within Industrial IoT (IIoT) networks. I specialize in deep learning, reinforcement learning, and both supervised and unsupervised learning, particularly for applications in IIoT wireless networks and cache-enabled systems.
As part of my doctoral research, I am serving an attachment with the Advanced Remanufacturing and Technology Centre (ARTC), A*STAR, where I apply academic insights to tackle real-world challenges in wireless IIoT networks. My work ranges from deep learning-based optimization techniques for wireless systems to leveraging multi-agent reinforcement learning (MARL) for optimizing Large Language Models (LLMs) and other Generative Artificial Intelligence (GAI) applications in IIoT networks. I also have experience fine-tuning multimodal LLMs and integrating these technologies with practical use cases.
I am on the 2024/2025 academic job market. My CV is available here.