Papers

4

Total Citations

75

H-Index

4

About

Abdeljalil Abbas‐Turki is a pioneering researcher at the intersection of artificial intelligence, autonomous systems, and emerging computing paradigms. His work primarily focuses on explainable AI (XAI), quantum modeling for reactive agents, and autonomous intersection management (AIM). In his most cited work, "The quest of parsimonious XAI" (2021, 54 citations), Abbas‐Turki introduces a human-agent architecture that prioritizes concise, understandable explanations—a critical step toward trustworthy AI. He also ventures into quantum computing, proposing a quantum algorithm for the subsumption architecture used in robotics, as detailed in his 2021 paper on quantum modeling of reactive agents (12 citations). Earlier, Abbas‐Turki contributed to intelligent transportation systems, exploring the feasibility of robot-based prototyping for AIM and addressing conflict resolution using dioid algebra (2012, 5 and 4 citations respectively). His work bridges theoretical innovation and practical application, offering novel solutions to challenges in autonomous coordination and human-AI interaction. With a career spanning quantum computing, robotics, and traffic management, Abbas‐Turki continues to shape the future of intelligent, explainable, and efficient autonomous systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
75
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
The quest of parsimonious XAI: A human-agent architecture for explanation formulation
54 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Université de Bourgogne, Université de technologie de belfort-montbéliard

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago