Dr. Jashanpreet Singh is an Assistant Professor at Chandigarh University, Mohali, India. In 2019, he earned his Ph.D. from Thapar Institute of Engineering and Technology, Patiala, India. He has several years of both teaching experience and industry experience. His research interests include tribology, solid particle erosion, power plant engineering, ash conveying, thermal spray coatings, CFD simulation, composites, and materials characterization. He has authored over a hundred research publications indexed in the Scopus database. He has authored and edited five books with CRC Press. He serves as a reviewer for various journals, and he is a member of AICTSD, IAENG, and NITTSD.Dr. Hitesh Vasudev is a Professor in the School of Mechanical Engineering at Lovely Professional University, Phagwara, Punjab, India. He earned his Ph.D. in 2018 from Guru Nanak Dev Engineering College, Ludhiana, India. His primary research interests are surface engineering, with particular emphasis on thermal spray technologies; development of nanostructured, multimodal, and high‑entropy alloy coatings for high‑temperature oxidation and corrosion resistance; thermal barrier coatings (TBCs); and microwave processing of materials. He has made significant scholarly contributions to the field of thermal spray coatings through numerous publications in reputed international journals.

• 1. Introduction to Tribology and Artificial Intelligence. 2. AI Foundations Relevant to Tribology. 3. Machine Learning for Predictive Modeling in Tribology. 4. AI-Driven Surface Engineering. 5. Optimization Techniques for Lubrication Design. 6. Tribological and Wear Analysis Using Neural Networks. 7. Applications of AI-Tribology in Aerospace and Renewable Energy. 8. Sustainability through Artificial Intelligence in Tribology. 9. Artificial Intelligence-Based Emerging Tools and Techniques in Tribology. 10. Case Study on Artificial Intelligence in Automotive Tribology. 11. Case Study on Artificial Intelligence in Biomedical Tribology. 12. AI-Driven Predictive Maintenance and Wear Prediction in Tribology: Industrial Case Studies and Applications. 13. Artificial Intelligence in Marine Tribology: Applications, Challenges, and Future Directions. 14. Challenges and Future Directions in AI and Tribology.