Muhammad Rizki Aulia Rahman MAULANA

Muhammad Rizki Aulia Rahman MAULANA is a Lecturer (Educator Track) in the Department of Computer Science at the National University of Singapore. He holds a BSc in Computer Science from the University of Indonesia (2017) and a Ph.D. in Computer Science from the National University of Singapore (2023). His research interests include deep reinforcement learning (DRL), generalization in machine learning (ML), and the limits of large language models (LLMs). He has interned at the NVIDIA AI Technology Center and the SEA AI Lab, focusing on AI agents and DRL generalization. MAULANA also develops educational tools to enhance student learning and course scalability, including AlgoSandbox.com and an AI Contest Platform used in courses like CS4246/5446.

Muhammad Rizki Maulana is a researcher at the National University of Singapore with expertise in machine learning and reinforcement learning. His work focuses on advancing deep learning techniques for data-efficient reinforcement learning, as well as multimodal speech recognition. Maulana has contributed to the development of an Indonesian audio-visual speech corpus for automatic speech recognition and explored sentence-level lip reading using spatiotemporal CNNs and gated RNNs. His research also includes visual-only word boundary detection, highlighting his interest in combining visual and auditory modalities for improved speech processing. His work has significant implications for natural language processing and human-computer interaction.