Akshay NARAYAN

Akshay NARAYAN is a Senior Lecturer (Educator Track) at the School of Computing, National University of Singapore. He teaches senior undergraduate and graduate-level courses in AI Planning and Decision Making, as well as introductory and intermediate-level Software Engineering courses. His research interests include AI planning, sequential decision making, and applications in areas such as transfer learning in reinforcement learning and multi-agent decision making. He has also worked in cloud computing, with past projects involving smart metering, workload analysis, and QoS monitoring. His research areas include Artificial Intelligence, Programming Languages & Software Engineering, Knowledge Transfer & Reinforcement Learning, and Green Computing Technology in Education.

Akshay Narayan is a researcher in the School of Computing at the National University of Singapore, focusing on reinforcement learning, transfer learning, automated planning, sequential decision making, and multi-agent planning. His work explores the application of AI in cloud computing, such as power-aware cloud metering and resource procurement. He has also investigated policy transfer in reinforcement learning, selective exploration algorithms, and hierarchical reinforcement learning. Narayan's research includes integrating AI in software engineering education and developing systems for quality-of-service monitoring in cloud environments. His publications highlight the intersection of AI with real-world applications, emphasizing adaptability and efficiency in complex decision-making scenarios.