Dr. Ravipudi  Venkata Rao
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Dr. Ravipudi Venkata Rao

Professor
Sardar Vallabhbhai National Institute of Technology, India


Highest Degree
Ph.D. in Mechanical Engineering from Birla Institute of Technology and Science, Pilani, Dubai

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Biography

Dr. Ravipudi Venkata Rao is currently working as Professor at Department of Mechanical Engineerings. V. National Institute of Technology, Surat (An Institute of National Importance) Ichchanath, Surat, Gujarat state, India. He was on official deputation as Visiting Professor, Industrial Systems Engineering, Asian Institute of Technology, KlongLuang, Pathumthani, Bangkok, Thailand. He has completed his PhD in Mechanical Engineering, B.I.T.S. Pilani, Rajasthan, India. Further into his services, he has total 24 years experience in teaching and research. He has published (255) journals as well as presented (167) papers in conferences. He has mentored 6 PhD students and currently supervising 6 students of PhD.

Area of Interest:

Physical Science Engineering
100%
Advanced Manufacturing Technology
62%
Applied Mathematical Modeling
90%
Artificial Intelligence
75%
Industrial Engineering Computations
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Rao, R.V. and K.C. More, 2015. Optimal design of the heat pipe using TLBO (teaching-learning-based optimization) algorithm. Energy, 80: 535-544.
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  2. Rao, R.V. and G.G. Waghmare, 2015. Multi-objective design optimization of a plate-fin heat sink using a teaching-learning-based optimization algorithm. Applied Thermal Eng., 76: 521-529.
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  3. Rao, R.V. and G. Waghmare, 2015. Optimization of thermal performance of a smooth flat-plate solar air heater using teaching-learning-based optimization algorithm. Cogent Eng., Vol. 2, No. 1. 10.1080/23311916.2014.997421.
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  4. Rao, R.V. and G. Waghmare, 2015. Design optimization of robot grippers using teaching-learning-based optimization algorithm. Adv. Robot., 29: 431-447.
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  5. Rajesh, R., V. Ravi and R.V. Rao, 2015. Selection of risk mitigation strategy in electronic supply chains using grey theory and digraph-matrix approaches. Int. J. Prod. Res., 53: 238-257.
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  6. Rao, R.V., V.D. Kalyankar and G. Waghmare, 2014. Parameters optimization of selected casting processes using teaching-learning-based optimization algorithm. Applied Math. Modell., 38: 5592-5608.
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  7. Rao, R.V. and V.D. Kalyankar, 2014. Optimization of modern machining processes using advanced optimization techniques: A review. Int. J. Adv. Manuf. Technol., 73: 1159-1188.
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  8. Rao, R.V. and V. Patel, 2014. A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems. Int. J. Ind. Eng. Comput., 5: 1-22.
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  9. Rao, R.V. and K.C. More, 2014. Advanced optimal tolerance design of machine elements using teaching-learning-based optimization algorithm. Prod. Manuf. Res., 2: 71-94.
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  10. Rao, R.V. and G.G. Waghmare, 2014. Complex constrained design optimisation using an elitist teaching-learning-based optimisation algorithm. Int. J. Metaheuristics, 3: 81-102.
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  11. Rao, R.V. and G.G. Waghmare, 2014. A comparative study of a teaching-learning-based optimization algorithm on multi-objective unconstrained and constrained functions. J. King Saud Univ.-Comput. Inform. Sci., 26: 332-346.
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  12. Keesari, H.S. and R.V. Rao, 2014. Optimization of job shop scheduling problems using teaching-learning-based optimization algorithm. OPSEARCH, 51: 545-561.
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  13. Rao, R.V. and V.D. Kalyankar, 2013. Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm. Eng. Applic. Artif. Intell., 26: 524-531.
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  14. Rao, R.V. and V.D. Kalyankar, 2013. Multi-pass turning process parameter optimization using teaching-learning-based optimization algorithm. Scientia Iranica, 20: 967-974.
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  15. Rao, R.V. and V. Patel, 2013. Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm. Eng. Applic. Artif. Intell., 26: 430-445.
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  16. Rao, R.V. and V. Patel, 2013. Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm. Applied Math. Modell., 37: 1147-1162.
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  17. Rao, R.V. and V. Patel, 2013. Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems. Int. J. Ind. Eng. Comput., 4: 29-50.
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  18. Rao, R.V. and V. Patel, 2013. An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems. Scientia Iranica, 20: 710-720.
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  19. Pawar, P.J. and R.V. Rao, 2013. Parameter optimization of machining processes using teaching-learning-based optimization algorithm. Int. J. Adv. Manuf. Technol., 67: 995-1006.
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  20. Rao, R.V., V.J. Savsani and J. Balic, 2012. Teaching-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems. Eng. Optimiz., 44: 1447-1462.
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  21. Rao, R.V., V.J. Savsani and D.P. Vakharia, 2012. Teaching-learning-based optimization: An optimization method for continuous non-linear large scale problems. Inform. Sci., 183: 1-15.
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  22. Rao, R.V., D. Singh, F. Bleicher and C. Dorn, 2012. Weighted Euclidean distance-based approach as a multiple attribute decision making method for manufacturing situations. Int. J. Multicriteria Decis. Making, 2: 225-240.
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  23. Rao, R.V., 2012. Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process. In: Computational Methods for Optimizing Manufacturing Technology: Models and Techniques, Davim, J.P. (Ed.). Chapter 14, IGI Global Publishers, USA., ISBN-13: 978-1466601284, pp: 339-367.
  24. Rao, R.V., 2012. Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Volume 2. Springer-Verlag, London, UK., ISBN-13: 9781447143741, Pages: 294.
  25. Rao, R.V., 2012. A note on Selection of cutting parameters in side milling operation using graph theory and matrix approach. Int. J. Adv. Manuf. Technol., 61: 855-858.
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  26. Rao, R.V., 2012. A note on An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems. Int. J. Ind. Eng. Comput., 3: 519-524.
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  27. Rao, R.V. and V.J. Savsani, 2012. Mechanical Design Optimization Using Advanced Optimization Techniques. Springer-Verlag, London, UK., ISBN-13: 9781447127482, Pages: 320.
  28. Rao, R.V. and V.D. Kalyankar, 2012. Parameter optimization of machining processes using a new optimization algorithm. Mater. Manuf. Process., 27: 978-985.
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  29. Rao, R.V. and V.D. Kalyankar, 2012. Multi-objective multi-parameter optimization of the industrial LBW process using a new optimization algorithm. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 226: 1018-1025.
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  30. Rao, R.V. and V. Patel, 2012. Multi-objective optimization of combined Brayton and inverse Brayton cycles using advanced optimization algorithms. Eng. Optimiz., 44: 965-983.
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  31. Rao, R.V. and V. Patel, 2012. An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. Int. J. Ind. Eng. Comput., 3: 535-560.
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  32. Rao, R.V. and D. Singh, 2012. Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection. Int. J. Ind. Eng. Comput., 3: 365-382.
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  33. Mariani, V.C., A.R.K. Duck, F.A. Guerra, L. dos Santos Coelho and R.V. Rao, 2012. A chaotic quantum-behaved particle swarm approach applied to optimization of heat exchangers. Applied Thermal Eng., 42: 119-128.
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  34. Singh, D. and R.V. Rao, 2011. A hybrid multiple attribute decision making method for solving problems of industrial environment. Int. J. Ind. Eng. Comput., 2: 631-644.
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  35. Rao, R.V., V.J. Savsani and D.P. Vakharia, 2011. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems. Comput.-Aided Des., 43: 303-315.
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  36. Rao, R.V., B.K. Patel and M. Parnichkun, 2011. Industrial robot selection using a novel decision making method considering objective and subjective preferences. Robot. Autonomous Syst., 59: 367-375.
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  37. Rao, R.V. and V.K. Patel, 2011. Optimization of mechanical draft counter flow wet-cooling tower using artificial bee colony algorithm. Energy Convers. Manage., 52: 2611-2622.
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  38. Rao, R.V. and V. Patel, 2011. Design optimization of shell and tube heat exchangers using swarm optimization algorithms. Proc. Inst. Mech. Eng. Part A: J. Power Energy, 225: 619-634.
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  39. Rao, R.V. and V. Patel, 2011. Design optimization of rotary regenerator using artificial bee colony algorithm. Proc. Inst. Mech. Eng. Part A: J. Power Energy, 225: 1088-1098.
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  40. Rao, R.V. and D. Singh, 2011. Evaluating flexible manufacturing systems using Euclidean distance-based integrated approach. Int. J. Decis. Sci. Risk Manage., 3: 32-53.
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  41. Rao, R.V. and B.K. Patel, 2011. Novel method for decision making in the manufacturing environment. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 225: 422-434.
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  42. Kamble, A.G. and R.V. Rao, 2011. Selection of welding mechanisms for ship building industry. Int. J. Applied Eng., 1: 76-84.
  43. Savsani, V., R.V. Rao and D.P. Vakharia, 2010. Optimal weight design of a gear train using particle swarm optimization and simulated annealing algorithms. Mech. Mach. Theory, 45: 531-541.
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  44. Rao, R.V., P.J. Pawar and K.K. Wagh, 2010. Multi-Objective Optimization of Multi-Pass Milling Process Parameters using Artificial Bee Colony. In: Artificial Intelligence in Manufacturing Research, Davim, J.P. (Ed.). Chapter 2, Nova Science Publishers, USA., ISBN: 978-1-60876-214-9, pp: 31-49.
  45. Rao, R.V., P.J. Pawar and J.P. Davim, 2010. Optimisation of process parameters of mechanical type advanced machining processes using a simulated annealing algorithm. Int. J. Mater. Prod. Technol., 37: 83-101.
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  46. Rao, R.V., 2010. Advanced Modeling and Optimization of Manufacturing Processes: International Research and Development. Springer-Verlag, London, UK., ISBN-13: 9780857290151, Pages: 380.
  47. Rao, R.V. and V.K. Patel, 2010. Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm. Int. J. Thermal Sci., 49: 1712-1721.
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  48. Rao, R.V. and T.S. Rajesh, 2010. A decision-making methodology for best product End-Of-Life scenario selection using an improved compromise ranking method. Int. J. Sustain. Des., 1: 278-292.
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  49. Rao, R.V. and P.J. Pawar, 2010. Process parameters modeling and optimization of wire electric discharge machining. Adv. Prod. Eng. Manage., 5: 139-150.
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  50. Rao, R.V. and P.J. Pawar, 2010. Parameter optimization of an injection molding process using artificial bee colony algorithm. J. Mechatron. Intell. Manuf., 2: 68-73.
  51. Rao, R.V. and P.J. Pawar, 2010. Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms. Applied Soft Comput., 10: 445-456.
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  52. Rao, R.V. and P.J. Pawar, 2010. Grinding process parameter optimization using non-traditional optimization algorithms. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 224: 887-898.
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  53. Rao, R.V. and K.K. Padmanabhan, 2010. Selection of best product end-of-life scenario using digraph and matrix methods. J. Eng. Des., 21: 455-472.
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  54. Rao, R.V. and D. Singh, 2010. An improved grey relational analysis as a decision-making method for manufacturing situations. Int. J. Decis. Sci. Risk Manage., 2: 1-23.
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  55. Rao, R.V. and B.K. Patel, 2010. A subjective and objective integrated multiple attribute decision making method for material selection. Mater. Des., 31: 4738-4747.
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  56. Pawar, P.J., R.V. Rao and J.P. Davim, 2010. Multiobjective optimization of grinding process parameters using particle swarm optimization algorithm. Mater. Manuf. Process., 25: 424-431.
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  57. Patel, V.K. and R.V. Rao, 2010. Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique. Applied Thermal Eng., 30: 1417-1425.
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  58. Palani, P.K. and N. Murugan, 2006. Development of mathematical models for prediction of weld bead geometry in cladding by flux cored arc welding. Int. J. Adv. Manuf. Technol., 30: 669-676.
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