Yusuf Pisan

Papers

Total Citations

H-Index

About

Yusuf Pisan is a researcher whose work lies at the intersection of artificial intelligence, game design, and computing education. He is best known for his contributions to AI in real-time strategy (RTS) games, particularly through his development of a scouting strategy that enables computer-controlled agents to make more intelligent, dynamic decisions under time constraints. His 2014 paper on this topic, which has garnered 7 citations, addresses a core challenge in RTS AI: how to balance exploration and exploitation in fast-paced, unpredictable environments. Beyond game AI, Pisan has made significant strides in understanding how students learn to program, with influential studies on debugging behaviors and the impact of pair programming. His work on computing education has helped shape pedagogical approaches that emphasize collaborative learning and metacognitive skills. With a career spanning over two decades, Pisan has also contributed to the broader understanding of human-computer interaction and software engineering education. His research is characterized by a practical, problem-driven approach that bridges theoretical AI concepts with real-world applications, making his work valuable to both game developers and educators seeking to improve how we teach and interact with intelligent systems.