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Welcome to my publications showcase. This section highlights my contributions to cutting-edge research and thought leadership in the dynamic fields of Artificial Intelligence, Robotics, and Multi-agent Systems. Here, you'll find a curated collection of my academic papers, articles, and insights, reflecting my dedication to advancing these pivotal areas. Additionally, as the editor of a weekly magazine, I regularly translate complex technological trends and their societal impacts into accessible features, providing engaging content every Saturday. Explore my work to see how I contribute to shaping the future of AI and robotics.
A Comprehensive Overview of Multi-Collaborative Scouting and Mapping with Highly Mobile Robots
A Comprehensive Overview of Multi-Collaborative Scouting and Mapping with Highly Mobile Robots
Published Online: 06 June 2025
This report overviews multi-collaborative robotic scouting and mapping, a rapidly evolving field. It details AI-based systems using mobile robots for efficient exploration of unknown environments. Key aspects include advanced algorithms for coordination, path optimization, and collaborative exploration, alongside integrating sensor data and real-time decision-making via technologies like SatCom. These scalable solutions are vital for search-and-rescue, environmental monitoring, and planetary exploration.
A PhD Project on Logic-Aware Conformal Prediction for Knowledge Graphs using Graph Neural Networks
A PhD Project on Logic-Aware Conformal Prediction for Knowledge Graphs using Graph Neural Networks
Published Online: 01 July 2025
This PhD research aims to improve AI trustworthiness in Knowledge Graphs (KGs) by integrating Graph Neural Networks (GNNs) with Conformal Prediction (CP). Current GNNs often lack reliable uncertainty and interpretability. The project will develop "logic-aware" CP methods by incorporating First Order Logic (FOL) domain knowledge into GNNs. This seeks to generate more informative predictions with statistical guarantees, even for interdependent graph data where standard CP struggles, leading to more reliable and interpretable AI for critical KG tasks.
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