Muhammad Rizki Aulia Rahman Maulana

Muhammad Rizki Aulia Rahman Maulana is a Lecturer in the Department of Computer Science at the National University of Singapore's School of Computing.

His educational background includes:

• BSc in Computer Science from the University of Indonesia (2017)
• PhD in Computer Science from the National University of Singapore (2023)

His primary research focuses on deep reinforcement learning (DRL) and generalization in machine learning, with recent emphasis on Large Language Models (LLMs). He investigates LLM limitations and their potential to enhance DRL generalization, while exploring decision-making frameworks and planning methodologies in artificial intelligence systems. His work bridges theoretical AI concepts with practical applications in adaptive learning environments.

Scientific awards:

• President's Graduate Fellowship, National University of Singapore, 2018

As an educator, he develops scalable teaching tools including AlgoSandbox.com for algorithm experimentation and an AI Contest Platform deployed in graduate courses CS4246/5446. His teaching philosophy centers on promoting self-directed learning through interactive platforms that enable students to explore computational concepts through hands-on problem-solving.