Knowledge Graph-Based Methods for Automated Driving

Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing). Dr. Nalini holds a PhD in Electronics and Communication Engineering from Sri Chandrasekarendra Saraswathi Viswa Maha Vidyalaya, Kanchipuram, India. Her research and publication interests include Artificial Intelligence, biomedical engineering, wireless sensor networks, and Internet of Things. She holds two patents in India and has received a grant to submit another application through the AICTE Quality Improvement Schemes supported by the Gvt. of India. Dr. Malathy holds a PhD in Information and Communication Engineering by Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences. Dr. Mohaisen received a Master’s degree in Communications and Signal Processing from the University of Nice Sophia Antipolis, Nice, France, in 2005, and a PhD in Communications Engineering from Inha University, Incheon, South Korea, in 2010. From 2001 to 2004, he worked as a Cell Planning Engineer with the Palestinian Telecommunications Company, Nablus, Palestine. From 2010 to 2019, he was a full-time Lecturer and an Assistant Professor with the Dept. of EEC Engineering Korea Tech, Cheonan, South Korea. He is currently an Associate Professor with the Department of Computer Science, Northeastern Illinois University, Chicago, IL, USA. His research interests include wireless communications with a focus on MIMO systems, systems and internet security, AI applications to security, and social network analysis.

1. Knowledge graph-based methods for automated driving
2. An overview of knowledge representation learning based on ER knowledge graph
3. Emerging technologies and tools for knowledge gathering in automated driving
4. Awareness of safety regulations and standards for automated driving
5. Reliability and ethics developments in knowledge graphs for automated driving
6. Role of knowledge graph-based methods in human-AI systems for automated driving
7. Knowledge-infused learning: A roadmap to autonomous vehicles
8. Integrated machine learning architectures for a knowledge graph embeddings (KGEs) approach
9. Future trends and directions for knowledge graph embeddings based on visualization methodologies
10. A brief study on evaluation metrics for knowledge graph embeddings
11. Design, construction, and recent advancements in temporal knowledge graph for automated
driving
12. Knowledge graph-based question answering (KG-QA) using natural language processing
13. An integrated framework for knowledge graphs based on battery management
14. Ontology-based information integration standards for the automotive industry
15. Emerging graphical data management methodologies for automated driving
16. Knowledge graphs vs collision avoidance systems: Pros and cons
17. Autonomous vehicle collision prediction systems: AI in action with knowledge graphs
18. Risk assessment based on dynamic behavior for autonomous systems using knowledge graphs
19. Case studies on knowledge graphs in automated driving