DEPARTMENT OF MECHANICAL ENGINEERING

• Principal & Professor (Since, Aug. 2017), PCCE, Verna, Goa
• Professor, (Feb 2017 – July 2017),,SETI, Panahala, Maharashtra
• Principal & Professor (Jan 2010 – Jan 2017), CSIT, Durg, Chhattisgarh
• Professor (May 2008 – Dec 2009), GIT, Belgaum, Karnataka
• Assistant Professor (Aug. 2005 – Apr. 2008), GIT, Belgaum, Karnataka
• Senior Lecturer (Oct. 2002 – Jul. 2005), GIT, Belgaum, Karnataka
• Lecturer (Oct 1996 – Sept. 2002), GIT, Belgaum, Karnataka
• Lecturer (Nov 1992 – Sep1996), SJMIT, Chitradurga, Karnataka

• Pnue Mil gauges India Pvt. Ltd. Pune,Trainee Engineer,6 Months
• Murudeshwar Ceramics Ltd. Hubballi, Maintenance Engineer,1.5 Years

• 3rd WCSET 2014 Kathmandu, Nepal Optimization of squeeze cast process parameters on hardness of LM20 alloy using taguchi method September 27-28, 2014
• ICIAME-2014, GCET Gujarat, India Investigation of squeeze cast process parameters effects on secondary dendrite arm spacing using statistical regression and artificial neural network models March 7-8, 2014
• ICIAME-2014, GCET Gujarat, India Optimization of squeeze cast process parameters using taguchi and grey relational analysis March 7-8, 2014
• ICMAS 2012 Bucharest, Romania Application of Modeling Tools in Manufacturing to Improve Quality andProductivity with Case Study, International Conference on Manufacturing Systems 8-9 November 2012
• International Conference on Advances in Materials and Materials Processing I.I.T, Kharagpur, India Neural Network Model to Predict the Process Parameters and Responses Using Forward and Reverse Mappings December 9-11, 2011
• 5th International Conference on Advances in Mechanical Engineering Surat, Gujarat, India S.V. National Institute of Technology Neural Network Model to Predict Drilling Parameters on Surface Roughness June 06-08,2011
• AMMMT-2010 SIT, Tumkur Modeling of Die Casting Using Response Surface Methodology, International Conference on Advanced Materials, Manufacturing, Management and Thermal Sciences 18-19 Nov’10
• National Institute of Technology, Durgapur, India Modeling and Analysis of the Pressure Die Casting Using Response Surface Methodology, International Conference on Modelling, Optimization and Computing October 26, 2010

• International Journal of System Assurance Engineering and Management Springer Publications Design and Development of Fuzzy Logic-based Expert System for Forward and Reverse Mappings in Resin Bonded Sand Systems Accepted, in press
• SN Applied Sciences Springer Publications Engine Performance and Exhaust Emission of Garcinia Gummi-Gutta based Biodiesel-Diesel-Ethanol Blends Accepted, in press
• Australian Journal of Mechanical Engineering Taylor and Francis Publisher Analysis and optimisation of transesterification parameters for high-yield Garcinia Gummi-Gutta biodiesel using RSM and TLBO 2020
• Measurement Elsevier Publications Analysis and optimization of surface quality while machining high strength aluminium alloy for aerospace applications 2020
• China Foundry Springer Publications Performance Analysis of Cow Dung as an Eco-Friendly Binder and Additive Material for Sustainable Moulding and Casting
• Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Publications Analysis and Optimization of Furan Resin-based Moulding Sand System with Sawdust as an Additive
• Applied Mechanics and Materials Trans Tech Publications, Switzerland Multi Response Optimization of Green Sand Moulding Parameters using Taguchi-DEAR Method 2019
• Silicon Springer Publications Study of the effect of nano-silica particles on resin-bonded moulding sand properties and quality of casting 2018
• Journal of Process Mechanical Engineering Sage Publications Modelling and optimization of furan molding sand system using design of experiments and particle swarm optimization 2018
• Journal of Manufacturing Processes Elsevier Publications A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process
• Applied Soft Computing Elsevier Publications Back Propagation Genetic and Recurrent Neural Network Applications in Modelling and Analysis of Squeeze Casting Process (2017)
• Archives of Foundry Engineering DE GRUYTER Publishers Germany Modeling and optimization of phenol formaldehyde resin sand mould system (2017)
• Applied Mathematical Modelling Elsevier Publications Squeeze casting process modeling by a conventional statistical regression analysis approach
  (2016)
• Archives of Foundry Engineering DE GRUYTER Publishers Germany Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization 2016
• International Journal of Advanced Manufacturing Technology Springer Publications An Intelligent System for Squeeze Casting Process – Soft Computing Based Approach 2016
• International Journal of Research and Innovations in Science and Technology SAINTGITS Group of Institutes, India Application of Response Surface Methodology, for Modelling the Effect of Alloying Elements on Mechanical Properties of Structural Steel
• Australian Journal of Mechanical Engineering Engineers Media Publication/ Taylor and Francis Publications, Sydney, Australia Modelling and multi-objective optimization of squeeze casting process using regression analysis and genetic algorithm 2016
• International Journal of Metal casting American Foundry Society/Springer Modelling of pressure die casting process: An artificial Intelligence approach 2016
• International Journal of Swarm Intelligence Research IGI Publications, USA Multi-objective optimization of squeeze casting process using evolutionary algorithms 2016
• Archives of foundry engineering DE GRUYTER Publishers Germany Modeling and Analysis of Mechanical Properties in Structural Steel – DOE Approach 2015
• Neural Computing and Applications Springer Publications Neural Network-based Expert System for Modeling of Tube Spinning Process 2015
• International Journal of cast Metals Research Taylor and Francis/Maney Publications UK Modelling of squeeze casting process using Design of Experiments and Response Surface Methodology 2015
• Advances in Automobile Engineering OMICS Publishing Modelling in Squeeze Casting Process – Present State and Future Perspectives 2015
• Benchmarking: an International Journal Emerald Publications Benchmarking of Product Recovery Alternatives in Reverse Logistics 2016
• International Journal of Advanced Manufacturing Technology Springer Publications Modeling and Multi-response Optimization of Pressure Die casting Process using Response Surface Methodology 2015
• Archives of Foundry Engineering DE GRUYTER Publishers Germany Prediction of secondary dendrite arm spacing in squeeze casting using fuzzy logic based approaches 2015
• Journal for Manufacturing Science and Production DE GRUYTER Publishers Germany ABC and GA Optimized NN to Model Resin-bonded Mould/Core Sand System: A Soft Computing Based Approach 2014
• Applied Computational Intelligence and Soft Computing Hindwai Publication Forward and reverse process models for the squeeze casting process using neural network based approaches 2014
• Procedia Technology Elsevier Publications Investigation of squeeze cast process parameters effects on secondary dendrite arm spacing using statistical regression and artificial neural network models
• Procedia Technology Elsevier Publications Optimization of squeeze cast process parameters using taguchi and grey relational analysis 2014
• Journal for Manufacturing Science and Production DE GRUYTER Publishers Germany Prediction of squeeze cast density using fuzzy logic based approaches 2014
• International Journal of Swarm Intelligence Research (IJSIR) IGI Publications, USA Weighted average-based multi objective optimization of tube spinning process using non-traditional optimization techniques 2013
• International Journal of Mechanics NAUN Journals Application of Response Surface Methodology for Modeling the Properties of Chromite-based Resin Bonded Sand Cores 2013
• Journal of Intelligent and Fuzzy Systems IOS Press, Amsterdam Prediction of resin bonded sand core properties using fuzzy logic 2013
• International Journal of Services and Operations Management Inder Science Publishers A Novel Multi-Criteria Decision Making Approach for Selection of Reverse Manufacturing Alternative 2013
• Proceedings in Manufacturing Systems Romanian Academy Applications of Modeling Tools in Manufacturing to Improve Quality and Productivity with Case Study 2012
• International Journal of Advanced Manufacturing Technology Springer Publications Forward and Reverse Mappings of the Cement – Bonded Sand Mould System using Fuzzy Logic
• Journal for Manufacturing Science and Production DE GRUYTER Publishers Germany Forward and reverse mappings in die casting process by neural network-based approaches Apr’12
• Journal of Manufacturing Science and Production DE GRUYTER Publishers Germany Modeling and analysis of resin bonded sand mould system using design of experiments and central composite design Apr’12
• Journal for Manufacturing Science & Production DE GRUYTER Publishers Germany Reverse Modeling of Green Sand Mould System Using Fuzzy Logic-Based Approaches Apr’12
• Knowledge – Based Systems Elsevier Publications Fuzzy Logic-based Expert System for Prediction of Depth of Cut in Abrasive Water Jet Machining Process 2012
• International Journal of Manufacturing, Materials and Mechanical Engineering IGI Publications, USA Modeling of Cement-Bonded Moulding Sand System – An Artificial Intelligence Approach January – March 2012
• International Journal of Advanced Manufacturing Technology Springer Publications Multi Objective Optimization of Green Sand Mould System Using Evolutionary Algorithms Jan’12
• Journal for Manufacturing Science & Production DEGRUYTER Publishers Germany Modeling and Analysis of Sodium Silicate-Bonded Moulding Sand System Using Design of Experiments and Response Surface Methodology 1-14Dec’11
• AFS Transactions American Foundry Society Publisher Forward and Reverse Mappings in Metal Casting – A Step towards Quality Casting and Automation 2011
• International Journal of Cast Metals Research Maney Publications, UK Design of Genetic-Fuzzy System for Forward and Reverse Mapping of Green Sand Mould System 2011
• International Journal of Modeling, Simulation and Scientific Computing World Scientific Publications Modeling of High Speed Finish Milling Process Using Soft Computing 2010
• International Journal on Mechanical & Automobile Engineering Scientific Engineering Research Corporation Publications Design of Fuzzy Logic-Based Expert System for Forward Modeling of Green Sand Mould System, Jun’09 – Aug’09
• International Journal on Mechanical & Automobile Engineering Scientific Engineering Research Corporation Publications Linear Modeling of Aluminium Alloy Die Casting Process Using Conventional Statistical Regression Analysis Jun’09 – Aug’09
• Emerging Journal Engineering Science and Technology Scientific Engineering Research Corporation Publications Prediction of Flank Wear in Drilling Using Genetic-Neural and Genetic-Fuzzy Systems Mar’09 –May’09
• Materials and Manufacturing Processes Taylor and Francis Publications Neural network-based approaches for forward and reverse mappings of sodium silicate-bonded, carbon dioxide gas hardened moulding sand system Jan’09
• Journal of Materials Engineering & Performance ASM & Springer publications Linear and non-linear modelling of cement-bonded moulding sand system using statistical regression analysis Aug’08
• Applied Soft Computing Elsevier Publications Forward and reverse mappings in green sand mould system using neural networks 2008
• International Journal of Cast Metals Research Maney Publications Modelling of Input – Output Relationships in Cement-Bonded Moulding Sand System using Neural Networks 2007
• International Journal of Cast Metals Research Maney Publications Linear and non-linear statistical modelling of green sand mould system 2007
• Proceedings of the IMechE Part – B Journal of Engineering Manufacture Professional Engineering Publications USA Non-linear modelling using central composite design to predict green sand mould properties 2007

• Indian Society of Technical Education (ISTE)
• Institute of Engineers (AMIE)
• Asian Council of Science Editors

A.  Advisory/Scientific/Technical Committee Member – International Conferences

1. International Technical Committee Member, Conference on Operations Research Fuzziology (ORF 2015), Shanghai, China, January 29-31, 2015.
2. International Technical Committee Member, Conference on Operations Research Fuzziology (ORF 2016), Bangkok, Thailand, January 14-16, 2016.
3. International Scientific Committee Member, ICMAS 2013, 22nd International Conference on Manufacturing Systems – ICMAS 2013, Nov. 13 & 14, 2014, University Politehnica of Bucharest, Romania.
4. International Technical Committee Member, ICIT 2014 2nd Science One International Conference on Information Technology, Dubai, UAE, January 21-23, 2014.
5. International Scientific Committee Member, ICMAS 2013, 22nd International Conference on Manufacturing Systems – ICMAS 2013, Nov. 14 & 15, 2013, University Politehnica of Bucharest, Romania.
6. Technical Committee Member, ICGITS 2013, International Conference on Global Innovations in Technology and Science, 4,5 & 6 April 2013, SAINTGITS College of Engineering, Kerala, India.
7. National Advisory Committee Member, ICARET 2013, IEEE International Conference on Advanced Research in Engineering and Technology, Feb 8 & 9 2013, KL University, Vaddeswaram, Andhra Pradesh, India.
8. National Advisory Committee Member, ICARET 2012, IEEE International Conference on Advanced Research in Engineering and Technology, Dec 7 & 8, 2012, Vijayawada, Andhra Pradesh, India.

B.  Invited Lectures

1. Invited lecturer on “Optimization Through Soft Computing Technique” at Chhatrapati Shivaji Institute of Technology, Durg, ATAL (AICTE Training and Learning) Academy, Faculty Development “Optimization Techniques in in Operations Management Oct 12-16 2020”.
2. Invited lecture on “FIVE DAYS Student Development Programme on Advances in Foundry Technology”, PES Institute of Technology & Management, Shivamogga, 12-16 October 2020.
3. Invited lecture on “FOUR DAYS National Level Faculty Development Programme on Current Trends in Mechanical Engineering”, SJM Institute of Technology, Chitradurga, 22-25 July 2020.
4. Invited lecture on “Genetic Algorithm – An Optimization Technique” at Osmania University, Hyderbad, A short term Course “Knowledge Based Systems in Engineering” under Tequip –II, 13th June 2013.
5. Invited lecture on Process modeling – Applied to Foundry in the Visvesvaraya Technological University – VGST sponsored Faculty development programme on “Issues and Challenges in Foundry Industry in 21st Century”, Gogte Institute of Technology, Belgaum, Karnataka, 17th – 19th Mar’11
6. Invited Lecture on “Process Modeling and its Role to Improve Productivity in Foundry” in Sourecon 2009, 27th June 2009, organized by The Institute of Indian Foundry men, BFC Belgaum
7. Invited Lecture on “Modeling Tools and Their Applications in Manufacturing” in the ISTE – STTP Course at National Institute of Technology, Karnataka, Surathkal, Karnataka, India, 16th – 21st Jun’08
8. Invited Lecture on Applications of soft computing Tools in Foundry in the DST-sponsored National Seminar on “Applications of Soft Computing in Mechanical Engineering”, Siddartha Engineering College, Vijayawada, AP, India, 28-29 Jan’08

C. Book

1. Manjunath Patel G C, Ganesh R Chate, Mahesh B. Parappagoudar, Kapil Gupta, Machining of Hard Materials – A Comprehensive Approach to Experimentation, Modeling and Optimization, In Manufacturing and Surface Engineering, Springer Book, pp. 1-129. ISBN 978-3-030-40101-6. https://www.springer.com/gp/book/9783030401016. DOI: 10.1007/978-3-030-40102-3

D. Publications in Book Chapter

1. Manjunath Patel, Prasad Krishna, B. Parappagoudar, Pandu Ranga Vundavilli, S. N. Bharath Bhushan, Squeeze Casting Parameter Optimization using Swarm Intelligence and Evolutionary Algorithms, Critical Developments and Applications in Swarm Intelligence, IGI Publisher, Chapter 10, 2018, pp. 245-270. DOI: 10.4018/978-1-5225-5134-8.ch010
2. Ganesh R Chate, Manjunath Patel GC, Mahesh B Parappagoudar and Anand S Deshpande, Application of Statistical Modelling and Evolutionary Optimization Tools in Resin-Bonded Molding Sand System, Handbook of Research on Investigations in Artificial Life Research and Development, IGI Publisher, Chapter 07, 2018, pp. 123-152. DOI: 10.4018/978-1-5225-5396-0.ch007
3. Manjunath Patel G C, Ganesh R Chate and Mahesh B. Parappagoudar (2020). Modelling and optimization of alphaset resin bonded sand moulding system using statistical design of experiments and evolutionary algorithms. “Optimization of Manufacturing Processes”, Springer Int. Publications, Netherland, pp. 1-28. https://doi.org/10.1007/978-3-030-19638-7_1