Rajesh S. Prabhu Gaonkar is presently working as a Professor at the Department of Mechanical Engineering at Goa College of Engineering, India. He served as Professor on Deputation at the School of Mechanical Sciences, Indian Institute of Technology Goa, India during 2018-2024. He has published over 125 research papers in various national and international conferences and journals and co-authored the book Fuzzy Reliability – Concepts and Applications (2007) and monograph Six-Sigma: A Key to Enterprise Excellence (2008). He has six patents to his credit as of writing. He is recipient of state and national level awards – the Goa state award for meritorius teacher in technical education by the Government of Goa (2015), Dr. J._M. Mahajan award by the Indian Institution of Industrial Engineering (2016–2017), the Gomantak TV excellence award for engineer’s role in education (2024), the Frederick Taylor award by the Indian Institution of Industrial Engineering for significant contribution in the field of industrial engineering (2025). His teaching areas include industrial engineering, optimization methods, reliability engineering/ reliability-based design, maintenance engineering and management, operations management, system modeling, and simulation. His research areas include applications of evolving uncertainty theories in reliability, maintenance engineering, and multi-attribute decision-making.

• Chapter 1. Evaluating Relative Efficiencies of Government Schools in Delhi Region through Data Envelopment Analysis. Chapter 2. Optimizing location, allocation, inventory, and transportation in a circular economy network using a multi-objective mathematical model. Chapter 3. Grey theory based Ranking framework Towards Successful Industry 4.0 Implementation. Chapter 4. Application of Fuzzy AHP and Fuzzy TOPSIS for establishing priority weight of multiple criteria for building sustainability assessment. Chapter 5. Application of Emerging Uncertainty Theories in MADM/MCDM Problems: A Review. Chapter 6. Practical Application of Multi-Attribute Decision-Making in the Oil and Gas Industry. Chapter 7. Deriving Criteria Weights for the Analytical Framework for Grading and Listing Heritage Buildings: Comparative Analysis of AHP and Fuzzy AHP. Chapter 8. Ranking of cricket teams using Multi-Attribute Decision Making approach: BHARAT. Chapter 9. Multi-Objective Optimization for Turning using MOORA & Novel CoCoSO Approach. Chapter 10. A Hybrid MADM Approach Integrating Fuzzy Logic and MOORA. Chapter 11. Optimization of Process Parameters for FSP Surface Modified Al6061reinforced with nano TiAl sheets using TOPSIS Multi-Criteria Decision-Making (MCDM) Technique. Chapter 12. Multi-attribute optimisation of PMEDM process parameters for machining Ti6Al7Nb–a biocompatible alloy. Chapter 13. Integrated Approach for Resilient Supplier Selection: Application of DD-GDA-GT-EMSS Framework. Chapter 14. Dynamic Fermatean Fuzzy Set: Modelling Dynamic Multicriteria Decisions. Chapter 15. Assessment of India’s High Ethanol Blending Future using A Fuzzy-AHP and Dempster-Shafer-Based Decision Model. Chapter 16. GRA, TOPSIS, and DFA-Aided Decision-Making in Concrete Technology Chapter 17. Analyzing sustainable manufacturing barriers to improve its adoption: a robust best worst method approach.