معرفی
Dr. Malcolm Heywood is a Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He leads the Network Information Management and Security (NIMS) Lab and is actively involved in research on genetic programming, coevolution, reinforcement learning, and big data analytics.
His research interests span:
- Genetic Programming and Evolutionary Computation
- Coevolution and Competitive Learning
- Problem Decomposition and Hierarchical Models
- Streaming Data Analysis and Anomaly Detection
- Network Security and Insider Threat Detection
- Reinforcement Learning in Games (Atari, ViZDoom, Dota 2)
Dr. Heywood's recent publications focus on emergent behaviors in reinforcement learning using Tangled Program Graphs (TPG), benchmarking genetic programming for streaming data, and applications in cybersecurity and computational finance. His work demonstrates a strong trend toward scalable, efficient evolutionary models for complex, real-world problems.
His scientific awards include:
- Silver placed at Human-Competitive (Humies) Competition (2018)
- Best Paper at EuroGP (2017)
- Best Paper at DETA track, ACM GECCO (2017)
- Best Paper at RWA track, ACM GECCO (2018)
- Nomination for Best Paper at DETA track, ACM GECCO (2019)
He has supervised numerous graduate students, including PhD and Master's candidates, many of whom have continued research in evolutionary computation. His lab has developed open-source code distributions for Tangled Program Graphs and Symbiotic Bid-Based GP. Dr. Heywood teaches courses in Computer Organization, Introduction to AI with Gaming Applications, and Genetic Algorithms and Programming.
