omkar kulkarni | Mechanical | Young Scientist Award

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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

 

 

Muhammad Fawad Jamil | Mechanical Engineering | Best Researcher Award

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Mr. Muhammad Fawad Jamil | Mechanical Engineering | Best Researcher Award

Research assistantat Tsinghua University Pakistan

PhD Scholar in Mechanical Engineering at Tsinghua University, specializing in non-conventional manufacturing technologies. With a strong academic background, including an MS in Mechanical Engineering Design (GPA: 3.68) and a BS in Mechanical Engineering (GPA: 3.78), he has published nine research papers in reputable journals. Fawad has served as a Teaching Assistant and Research Assistant, contributing to various courses and research projects. Passionate about environmental sustainability, he is proficient in multiple engineering software and has strong communication skills, supported by a Band 7.5 IELTS score. Active member of the Pakistan Engineering Council.

Publication profile

Scholar

šŸŽ“ Education

Fawad is pursuing his Ph.D. in Mechanical Engineering at Tsinghua University, ranked 25th globally in 2024. He completed his Masterā€™s in Mechanical Engineering Design from the University of Engineering and Technology (UET), Lahore, with a GPA of 3.68, and a Bachelorā€™s in Mechanical Engineering from the University of Lahore, achieving a GPA of 3.78.

šŸ’¼ Work Experience

Fawad serves as a Teaching Assistant in the Department of Language and Arts at Tsinghua University, where he supports courses in Academic English. Additionally, he is a Research Assistant at the State Key Laboratory of Tribology. His previous roles include Lab Engineer at the University of Lahore and Quality Officer at OHAD Motors, where he contributed to quality assurance in automotive manufacturing.

šŸ“š Research and Publications

He has authored 9 publications since 2021, including articles in high-impact journals such as Results in Engineering and Ultrasonics. His research focuses on non-conventional manufacturing technologies and the integration of experimental investigations with theoretical analyses.

šŸ† Honors and Awards

He has received multiple awards, including a gold medal at the University Sports Gala and a certificate for volunteer work at Tsinghua University. His dedication to extracurricular activities and community service showcases his commitment to personal and professional growth.

Publication

  • Squamous Cell Carcinoma of the Lower Lip: An Experience with the Karapandzic Technique
    • Authors: M.I. Khan, M. Hussain, M. Jamil, M. Arif, A. Raza, M.A. Chaudhary
    • Published In: Journal of the College of Physicians and Surgeons – Pakistan: JCPSP, 15(2)
    • Year: 2005
    • Citations: 9

 

  • Investigation of Rotary Ultrasonic Vibration Assisted Machining of Nomex Honeycomb Composite Structures
    • Authors: K.H. Mughal, M.F. Jamil, M.A.M. Qureshi, A.A. Qaiser, F.A. Khalid, A. Maqbool, …
    • Published In: The International Journal of Advanced Manufacturing Technology, 129(11)
    • Year: 2023
    • Citations: 7

 

  • Investigation of Hybrid Ultrasonic Machining Process of Nomex Honeycomb Composite Using a Toothed Disc Cutter
    • Authors: K.H. Mughal, M.A.M. Qureshi, M.F. Jamil, S. Ahmad, F.A. Khalid, A.A. Qaiser, …
    • Published In: Ultrasonics, 141, 107343
    • Year: 2024
    • Citations: 4

 

  • Design and Performance Evaluation of a Novel Ultrasonic Welding Sonotrode for Langevin Transducer Using Finite Element Approach
    • Authors: K.H. Mughal, N. Ahmad, N. Hayat, M.A.M. Qureshi, S.A. Bugvi, M.F. Jamil, …
    • Published In: International Journal of Industrial Engineering, 30(4)
    • Year: 2023
    • Citations: 4

 

  • Performance Improvement Through Value Stream Mapping ā€“ A Manufacturing Case Study
    • Authors: S. Bugvi, K. Hameed, M.F. Jamil, A. Irfana, S. Murtaza, M. Qaiser, M. Bilal
    • Published In: Jurnal Kejuruteraan (Journal of Engineering), 33(4), 12
    • Year: 2021
    • Citations: 4

 

  • Enhancement of Aerodynamic Performance of High-Speed Train Through Nose Profile Design: A Computational Fluid Dynamics Approach
    • Authors: K.H. Mughal, S.A. Bugvi, M.F. Jamil, B.T. Baig, T. Ahmad, M. Irfan, A.A. Ashraf, …
    • Published In: Jurnal Kejuruteraan, 34(6), 1237-1250
    • Year: 2022
    • Citations: 2

 

  • Tubular Cubic Polynomial Sonotrode for Green and Sustainable Ultrasonic Welding Technology
    • Authors: K.H. Mughal, S.A. Bugvi, M.F. Jamil, M.A.M. Qureshi, F.A. Khalid, A.A. Qaiser
    • Published In: Green Manufacturing Open, 1(3), N/A-N/A
    • Year: 2023
    • Citations: 1

 

  • Integrating Experimental and Theoretical Investigations of Porous Graphite Materials with Scanning Electron Microscope Image Processing
    • Authors: M.P. Sahto, W. Wei, M.F. Jamil, A. Mehmood, M. Sattar, A. Raza, M.U. Rahman, …
    • Published In: Results in Engineering, 102893
    • Year: 2024

 

  • Interaction, Management and Response of Healthcare Workers Towards Workplace Violence Events
    • Authors: E. Rahim, I. Ahmad, S.P. Shaikh, M. Sattar, S. Taj, M. Jamil, H. Hameed, G. Gul
    • Published In: Annals of PIMS – Shaheed Zulfiqar Ali Bhutto Medical University, 20(SUPPL-1)
    • Year: 2024

 

  • Evaluating the Work Design Readiness for Industry 4.0 Based on Personal Characteristics of Production Workers
    • Authors: S.A. Bugvi, K.H. Mughal, M.F. Jamil, A.H. Kazim, A. Shabbir, M.U. Shahid, …
    • Published In: International Journal of Industrial Engineering, 31(2)
    • Year: 2024

 

  • Evaluating the Work Design Readiness for Industry 4.0 Based on Personal Characteristics of Production Workers: Work Design Readiness for Industry 4.0
    • Authors: S.A. Bugvi, K.H. Mughal, M.F. Jamil, A.H. Kazim, A. Shabbir, M.U. Shahid, …
    • Published In: International Journal of Industrial Engineering: Theory, Applications and …
    • Year: 2024

Chi Ma | Mechanical Design | Best Scholar Award

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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.