omkar kulkarni | Mechanical | Young Scientist Award

Dr. omkar kulkarni | Mechanical | Best Researcher Award

 Dr. Vishwanath Karad MIT World Peace University, India

Dr. Omkar Kamalakant Kulkarni is a dedicated educator and researcher in Mechanical Engineering, specializing in micro-forming and manufacturing optimization. He currently serves at Dr. Vishwanath Karad MIT World Peace University, Pune, with over a decade of academic experience. A recipient of prestigious awards like the Young Engineers Award, Dr. Kulkarni focuses on leveraging computational intelligence to enhance manufacturing processes. His expertise spans advanced material processing, CNC programming, and design optimization, underpinned by a strong foundation in mechanical engineering. Passionate about teaching and research, he actively contributes to both academia and industry innovation.

Profile

Scopus

Scholar

🎓 Education

Ph.D.: Mechanical Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, 2023. M.E.: CAD/CAM Engineering, Zeal College of Engineering, Pune (SPPU), 2015, CGPA: 8.45. B.E.: Mechanical Engineering, Dhole Patil College of Engineering, Pune, 2013, 66.33%. Diploma: Mechanical Engineering, BVJNIOT, Pune, 2009, 72.83%. SSC: Muktangan English School, Pune, 2006, 65%.

💼 Experience

Assistant Professor, Dr. Vishwanath Karad MIT World Peace University, Pune (2020–Present). Lecturer, Maharashtra Institute of Technology, Pune (2017–2020). Faculty, Zeal College of Engineering & Research, Pune (2013–2017). Over 10 years of academic experience focused on teaching advanced mechanical concepts, guiding projects, and engaging in research collaborations.

🏆 Awards and Honors

Young Engineers Award, IEI Kolkata, 2023 (National). IMTEX Metal Forming Certificate, IMTEX 2022 (National). 2nd Rank in University, Savitribai Phule Pune University, 2015 (State). Recognized for excellence in teaching, research, and technical innovation in mechanical engineering.

🔬 Research Focus

Micro-Forming: Investigations into bio-materials and precision forming. Optimization: Springback minimization in deep drawing using Cohort Intelligence Algorithm. CNC Programming: Process planning and automation using MastercamX5. Specializes in leveraging computational tools to advance manufacturing efficiency and material properties.

🏆Conclusion 

Dr. Kulkarni’s dedication to advancing mechanical engineering through innovative research and optimization techniques makes him a strong contender for the Research for Young Scientist Award. By addressing areas of improvement and continuing to build on his impressive foundation, he can further cement his position as a leading researcher in his field. His academic contributions, technical expertise, and commitment to education and innovation clearly align with the spirit of the award.

📚Publications 

  • Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions
    Year: 2017
    Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni

 

  • Constrained Cohort Intelligence Using Static and Dynamic Penalty Function Approach for Mechanical Components Design
    Year: 2018
    Authors: O. Kulkarni, N. Kulkarni, A.J. Kulkarni, G. Kakandikar

 

  • Process Parameter Optimization in WEDM by Grey Wolf Optimizer
    Year: 2018
    Authors: O. Kulkarni, S. Kulkarni

 

  • An Insight Review on Jellyfish Optimization Algorithm and Its Application in Engineering
    Year: 2022
    Authors: A. Khare, G.M. Kakandikar, O.K. Kulkarni

 

  • Experimental and Numerical Investigations on Forming Limit Curves in Micro Forming
    Year: 2022
    Authors: G. Patel, K. Ganesh M., O. Kulkarni

 

  • Optimising Fracture in Automotive Tail Cap by Firefly Algorithm
    Year: 2020
    Authors: G.M. Kakandikar, O. Kulkarni, S. Patekar, T. Bhoskar

 

  • Parameter Optimization of AISI 316 Austenitic Stainless Steel for Surface Roughness by Grasshopper Optimization Algorithm
    Year: 2021
    Authors: S. Jawade, O.K. Kulkarni, G.M. Kakandikar

 

  • Process Parameters Optimization by Bat Inspired Algorithm of CNC Turning on EN8 Steel for Prediction of Surface Roughness
    Year: 2021
    Authors: C.G. Burande, O.K. Kulkarni, S. Jawade, G.M. Kakandikar

 

  • Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm
    Year: 2020
    Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni, V.M. Nandedkar

 

  • Development of a Multi-Objective Salp Swarm Algorithm for Benchmark Functions and Real-World Problems
    Year: 2019
    Authors: S.P. Mhatugade, G.M. Kakandikar, O.K. Kulkarni, V.M. Nandedkar