Dr. Rajesh S. Prabhu Gaonkar
Designation : Professor (on Deputation)
Broad Area of Expertise : Mechanical Engineering
Email : rpg{at}iitgoa.ac.in
Contact Number :
Address : School of Mechanical Sciences, IIT Goa, Farmagudi, Ponda, Goa - 403401
Educational Qualifications
- Research Fellow (Post Doctoral), Department of Industrial & Systems Engineering, National University of Singapore (NUS).
- Ph.D. (Reliability Engineering), Indian Institute of Technology Bombay, Powai, Mumbai.
- Post Graduate Diploma in Operations Management (P. G. D. O. M.), Indira Gandhi National Open University (I. G. N. O. U.).
- M. E. (Industrial Engineering), Goa College of Engineering, Farmagudi, Ponda-Goa.
- B. E. (Mechanical Engineering), Goa College of Engineering, Farmagudi, Ponda-Goa.
Areas of Research
Reliability Engineering, Maintenance Engineering, Industrial Engineering, Optimization, Design of Experiments, Multi-Attribute Decision Making (MADM).
Courses Taught
ME 320 : Manufacturing Processes - II
ME 321 : Manufacturing Practice Lab ME 322 : Industrial Engineering and Operations Research
ME612 : Reliability Based Design
Professional Appointments
- Former Head of Mechanical Engineering Department, Goa College of Engineering, Farmagudi, Ponda-Goa.
- Former Dean, Faculty of Engineering, Goa University.
- Associate Editor of the International Journal of System Assurance Engineering and Management (Springer publication).
- Editorial Board Member of the International Journal of Mathematical, Engineering and Management Sciences.
Recent Publications
- Sunay P. Pai, Rajesh S. Prabhu Gaonkar, A Failure Mode Assessment Model using Evidential Reasoning in Neutrosophic Environment, in the book Advances in Risk and Reliability Modelling and Assessment -- Lecture Notes in Mechanical Engineering edited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi, Springer Nature Singapore Pte. Ltd., 2024, pp. 259- 271. (Book chapter)
- Svara Mehta, Ramnath V. Prabhu Bam, Rajesh S. Prabhu Gaonkar, Machine Learning Based Remaining Useful Life Estimation – Concept and Case Study, in the book Reliability Engineering for Industrial Processes: An Analytics Perspective edited by P. K. Kapur, Hoang Pham, Gurinder Singh, Vivek Kumar in the Springer Series in Reliability Engineering, Springer, Switzerland, 2024, pp. 155-180. (Book chapter)
- Ramnath Prabhu Bam, Rajesh S. Prabhu Gaonkar, Clint Pazhayidam George, Machine Learning-Based Predictive Maintenance for Diagnostics and Prognostics of Engineering Systems, in the book Intelligent Prognostics for Engineering Systems with Machine Learning Techniques edited by Gunjan Soni, Om Prakash Yadav, Gaurav Kumar Badhotiya, Mangey Ram in the Book Series in Advances Research in Reliability and System Assurance Engineering, CRC Press, Taylor and Francis Group, 2023, pp. 211-243. (Book chapter)
- Rajesh S. Prabhu Gaonkar, Sunay P. Pai, Risk Assessment of Starting Air System of Marine Diesel Engine using Fuzzy Failure Mode and Effects Analysis, in the book System Assurances -- Modeling and Management edited by Prashant Johri, Adarsh Anand, Juri Vain, Jagvinder Singh, Mohammad Tabrez Quasim in the Elsevier Series in Emerging Methodologies and Applications in Modeling, Identification and Control, Elsevier - Academic Press, 2022, pp. 51-66. (Book chapter)
- Gajesh G. S. Usgaonkar, Rajesh S. Prabhu Gaonkar, Optimization and Ranking of the Input Parameter Settings of Sustainable Grinding Using Cashew Nut Shell Liquid as Cutting Fluid, Materials Research Express, https://doi.org/10.1088/2053-1591/ad6f72.
- Ramnath V. Prabhu Bam, Rajesh S. Prabhu Gaonkar, Clint Pazhayidam George, A Machine Learning Framework for Detection and Severity Estimation of Faults for Chillers and Air Handling Units in HVAC systems, Energy & Buildings, Vol. 313 (2024), 114235, https://doi.org/10.1016/j.enbuild.2024.114235.
- Ankit A. Sawant, Rajesh S. Prabhu Gaonkar, A Study on the Effect of Geometrical Parameters on Peel and Shear Stress Distribution in Mixed Adhesive Joints, AIP Conference Proceedings (Journal of American Institute of Physics). (In Press)
- Gajesh G. S. Usgaonkar, Rajesh S. Prabhu Gaonkar, Parameter Optimization and Prediction of Surface Roughness in Grinding using CNSL as a Cutting Fluid, Materials Today: Proceedings (Journal of Elsevier Ltd.). (Available Online)
- Saurabh L. Raikar, Rajesh S. Prabhu Gaonkar, A Novel Methodology on Developing Stress-Strength Reliability Model for Weibull Distribution: A Comparison of Artificial Neural Network (ANN) and Response Surface Analysis (RSA), Reliability: Theory & Applications, Vol. 18, No. 4 (76) (December 2023), pp. 128–140.
- B. Aswin, Tapan Lokhande, Rajesh S. Prabhu Gaonkar, Solving Redundancy Allocation Problems Using Jaya Algorithm, International Journal of Mathematical, Engineering and Management Sciences (IJMEMS),Vol. 8, No. 5 (October 2023), pp. 804-816.
- Gajesh G. S. Usgaonkar, Rajesh S. Prabhu Gaonkar, Surface Grinding Responses Optimization with a Promising Eco-Friendly Cutting Fluid, Materials Today: Proceedings (Journal of Elsevier Ltd.), Vol. 90 (1) (2023), pp. 50-55.
- Milind Sakhardande, Rajesh Prabhu Gaonkar, On Solving Large Data Matrix Problems in Fuzzy AHP, Expert Systems with Applications, Vol. 194, (May 2022), 116488.
- Sunay Pai, Rajesh Prabhu Gaonkar, Modelling uncertainty using neutrosophic sets for precise risk assessment of marine systems, International Journal of System Assurance Engineering and Management, https://doi.org/10.1007/s13198-021-01496-y.
- Mahesh Caisucar, Rajesh Prabhu Gaonkar, A novel hierarchical ranking method for idea screening in new product development , International Journal of Business Excellence, https://doi.org/10.1504/IJBEX.2021.10040689
- Saurabh L. Raikar, Rajesh Prabhu Gaonkar, Jaya algorithm in estimation of P[X>Y] for two parameter Weibull distribution, AIMS Mathematics, Vol. 7, No. 2 (November 2021), pp. 2820-2839.
Recognition and Awards
- Recipient of Fellowship of the Indian Institution of Industrial Engineering (I.I.I.E.) in the year 2014.
- First recipient of Goa State Award for Meritorious Teacher in Technical Education for the year 2015.
- Recipient of Dr. J. M. Mahajan National Award of Indian Institution of Industrial Engineering (I.I.I.E.) for the year 2016-17.
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