PhD Graduate
Nanyang Technological University, Singapore

E-mail: leee0021@e.ntu.edu.sg

I'm a Ph.D. graduate from Nanyang Technological University (NTU), and a first-class honours graduate in MEng Mechanical Engineering from Imperial College London. I offer deep expertise in Deep Learning, with a track record of applying AI models in collaborative projects across diverse subject areas in both academia and industry.

At NTU, in partnership with automotive leader Continental, I led pioneering research that addressed complex industry problems in wireless communication and autonomous systems. Results have been published in highly recognised conferences and journals.

In my current role at DBS Treasures, my tactical application of AI significantly enhanced marketing strategies, boosting conversion on high-value bancassurance products.

As a mechanical engineer, I have worked with colleagues and customers to successfully deliver technical projects and managed the development of bespoke products from concept to production.

I can help you to further your competitive advantage through the use contemporary Artificial Intelligence techniques in your chosen application area. Please do not hesitate to contact me.

• J. Lee, Y. Cheng, D. Niyato, Y. L. Guan and D. González G. Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks, IEEE Transactions on Vehicular Technology 2022.
• J. Lee, D. Niyato, Y. L. Guan and D. I. Kim. Learning to Schedule Joint Radar-Communication With Deep Multi-Agent Reinforcement Learning, IEEE Transactions on Vehicular Technology 2022.
• J. Lee, W. Wang and D. Niyato Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) 2020.