omkar kulkarni | Mechanical | Young Scientist Award

Dr. omkar kulkarni | Mechanical | Best Researcher Award

Ā 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

šŸŽ“ 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%.

šŸ’¼ Experience

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

šŸ† 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.

šŸ”¬ 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.

šŸ†ConclusionĀ 

Dr. Kulkarniā€™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.

šŸ“šPublicationsĀ 

  • 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

 

 

Elsayed Abo-Dahabe | Thermoelasticity | Best Researcher Award

Prof Dr. Elsayed Abo-Dahabe | Thermoelasticity | Best Researcher Award

Professor at South Valley University Egypt

Prof. DSc. Elsayed M. Abo-Dahab is a renowned Egyptian mathematician specializing in Applied Mathematics and Continuum Mechanics. Born in 1973, he currently serves as a Professor at the Mathematics Department, Faculty of Science, South Valley University (SVU), Egypt. He previously held the position of Dean of the Faculty of Computers and Information at Luxor University. He has authored over 300 scientific publications in fields ranging from Engineering to Physics. Prof. Abo-Dahab is also a prolific reviewer and editorial board member of international journals. His work has garnered widespread recognition and numerous awards in Egypt and globally.

 

profile

Scholar

šŸŽ“ Education:

Prof. Elsayed M. Abo-Dahab received his Bachelor’s degree in Mathematics from South Valley University (SVU), Egypt. In 2001, he earned his Masterā€™s degree in Applied Mathematics from SVU. He pursued a Ph.D. in Applied Mathematics from Assiut University, Egypt, completing it in 2005. He became an Assistant Professor in Applied Mathematics in 2012 and a full Professor in 2017. In 2020, Prof. Abo-Dahab earned a prestigious D.Sc. in Physics and Mathematics. His academic journey reflects a strong foundation in mathematical principles and research, with a focus on elasticity, thermoelasticity, and fluid mechanics.

šŸ¢ Experience:

Prof. Abo-Dahab has extensive academic and leadership experience. He currently serves as a Professor of Applied Mathematics at SVU. He has also served as the Dean of the Faculty of Computers and Information at Luxor University. As a researcher, Prof. Abo-Dahab has contributed over 300 scientific publications, spanning disciplines such as biology, geology, and plasma physics. His work includes roles on the editorial boards of 10 international journals and as a reviewer for 130 journals in solid mechanics and applied mathematics. He has presented at over 25 international conferences and has authored multiple textbooks.

šŸ† Awards and Honors:

Prof. Abo-Dahab has received several prestigious awards. He was honored with the South Valley University Incentive Prize in 2011 and the Professor Dr. Amin Lotfy Prize in Mathematics in 2014. In 2015, he received the State Incentive Prize in Mathematical Sciences from Egyptā€™s Academy of Scientific Research and Technology (ASRT). His most recent award, in 2020, was the Excellence Prize from SVU in Basic Sciences. These awards recognize his significant contributions to mathematics, his dedication to research, and his role in advancing the field of applied mathematics in Egypt and beyond.

šŸ” Research Focus:

Prof. Abo-Dahabā€™s research focuses on several key areas in Applied Mathematics and Continuum Mechanics. He specializes in elasticity, thermoelasticity, and fluid mechanics, with particular interest in fiber-reinforced materials and magnetic fields. His interdisciplinary work spans a wide range of applications, including engineering, biology, geology, and acoustics. His contributions in solid mechanics, mathematical modeling, and plasma research have been widely cited in scholarly articles and textbooks. Prof. Abo-Dahab has also contributed to environmental physics and material science, providing valuable insights into complex mathematical and physical systems.

Publications Top Notes:

 

  • Chemical Reaction and Thermal Radiation on Heat and Mass Transfer in MHD Micropolar Flow
    • Published in: International Journal of Thermal Sciences (2009)

 

  • MHD Casson Nanofluid Flow with Suction/Injection
    • Published in: Indian Journal of Physics (2021)

 

  • Influence of Hybrid Nanoparticles on Porous Shrinking Sheets
    • Published in: Journal of Thermal Analysis and Calorimetry (2022)

 

  • Finite Element Analysis of Hydromagnetic Flow in Non-Darcian Porous Media
    • Published in: Communications in Nonlinear Science and Numerical Simulation (2009)

 

  • Peristaltic Flow of Micropolar Fluid with Rotation and Magnetic Field
    • Published in: Journal of Magnetism and Magnetic Materials (2013)

 

  • Two-temperature Problem in a Semiconducting Medium
    • Published in: Waves in Random and Complex Media (2017)

 

  • Two-dimensional Generalized Thermoelasticity Problem
    • Published in: Journal of Computational and Theoretical Nanoscience (2015)

 

  • Generalized Thermoelastic Thin Slim Strip under Laser Beams
    • Published in: Symmetry (2020)

 

  • Magnetic Field and Rotation Effects on Jeffrey Fluid in Asymmetric Channels
    • Published in: Journal of Magnetism and Magnetic Materials (2015)

 

  • Rayleigh Waves in Magnetoelastic Orthotropic Materials
    • Published in: Applied Mathematics and Computation (2004)

 

 

 

Chi Ma | Mechanical Design | Best Scholar Award

Assoc Prof Dr. Chi Ma ā€Œ | Mechanical Design|Best Scholar AwardĀ 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

šŸ“šEducationĀ 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

āœØ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

šŸ§‘ā€šŸ”¬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

šŸ… Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

šŸ“Š Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes šŸ“

 

  1. šŸ“„ Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. šŸ“„ Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    šŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. šŸ“„ Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    šŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. šŸ“„ Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    šŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. šŸ“„ Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. šŸ“„ Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    šŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. šŸ“„ Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    šŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. šŸ“„ Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    šŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. šŸ“„ Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    šŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. šŸ“„ Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.