Abdeljalil Abbas‐Turki
Université de Bourgogne, Université de technologie de belfort-montbéliard
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
Top Papers
- 1
- 2Towards a Quantum Modeling Approach to Reactive Agents12 citations · 2021
- 3
- 4On the conflict with dioid algebra: Autonomous Intersection Management4 citations · 2012