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Dr. Haytham Qushtom holds a BSc in Computer Information Systems from Al-Quds Open University (2011), an MSc in Computer Science from Arab American University (2017), and a PhD in Computer Science from Toronto Metropolitan University (2023). He is an Assistant Professor in Computer Science at Wilfrid Laurier University.
He specializes in distributed systems, blockchain technologies, artificial intelligence, large language models, databases, information retrieval, and data analytics. His research focuses on reliable, scalable, and intelligent computing systems, including consensus mechanisms, trust and reward models, blockchain-based IoT systems, and emerging applications of multi-agent AI systems.
Dr. Qushtom has over six years of teaching experience in Canadian post-secondary education and has taught undergraduate and graduate courses in several areas of computer science.
Current research interests include:
- Large language models and intelligent AI systems
- Long-context modelling and memory-efficient AI architectures
- Multi-agent AI systems, cooperation, negotiation, and debate
- AI-assisted educational technologies
- Blockchain consensus mechanisms for IoT and distributed systems
- Trust, reward, and incentive models in decentralized environments
- Byzantine-resilient and fault-tolerant computing systems
- Qushtom, Haytham, et al. “A Two-Stage PBFT Architecture With Trust and Reward Incentive Mechanism.” IEEE Internet of Things Journal.
- Qushtom, Haytham, et al. “A High-Performance Two-Layer Consensus Architecture for Blockchain-Based IoT Systems.” Peer-to-Peer Networking and Applications.
- Qushtom, Haytham, et al. “Trust and Rewards in a Two-Tier Consensus Architecture.” International Conference on Computing, Networking and Communications (ICNC).
- Qushtom, Haytham, et al. “Performance Improvement in Lightweight Security Protocols for IoT Networks."
- CP363: Database I
- CP423: Text Retrieval and Search Engines
- CP422: Programming for Big Data
- CP612: Data Management and Analysis
- CP202: Website Design