Hissam Tawfik

Leeds Beckett University, University of Sharjah, Jadavpur University

Papers

Total Citations

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About

Dr. Hissam Tawfik is a leading researcher in intelligent systems and multi-agent robotics, with a focus on cloud-integrated IoT and autonomous coordination. His most impactful work, "Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets" (73 citations), pioneers a scalable framework that leverages cloud computing to orchestrate IoT devices through formal workflow models, enabling efficient, decentralized cooperation in dynamic environments. This contribution bridges the gap between cloud architectures and real-time agent collaboration, offering a robust foundation for smart city and industrial automation applications. Dr. Tawfik also advances control theory with "Optimized Power Rate Sliding Mode Control for a Robot Manipulator Using Genetic Algorithms" (11 citations), where he integrates evolutionary optimization to enhance robotic precision and energy efficiency. His earlier seminal work, "A Multi-Objective Pareto-Optimal Solution to the Box-Pushing Problem by Mobile Robots" (5 citations), redefines a classic robotics challenge by introducing Pareto-optimal strategies that allow simultaneous box translation and turning—a novel formulation that has influenced multi-robot task allocation. Additionally, his ethics-informed approach to social robotics (3 citations) underscores his commitment to responsible AI development. Dr. Tawfik’s research consistently merges theoretical rigor with practical innovation, making him a pivotal figure in advancing autonomous systems and human-robot collaboration.