Adarsh Chaurasiya | Mechanical | Best Researcher Award

Mr. Adarsh Chaurasiya | Mechanical | Best Researcher Award

Research Scholar, Maulana Azad National Institute of Technology Bhopal MP India

Adarsh Chaurasiya is a dedicated mechanical engineer with expertise in materials engineering and composite fabrication. He earned his M.Tech in Engineering Materials from MANIT Bhopal and a B.E. in Mechanical Engineering from RGPV Bhopal. Adarsh has hands-on experience through internships at Tata Consultancy Services (TCS) in remote proctoring and technical support. His research focuses on basalt fiber-reinforced epoxy composites, with publications in international conferences. He has received the Chancellor’s Scholarship and has a strong academic record. Proficient in CATIA, AutoCAD, and MS Office, he also holds NCC β€˜B’ and β€˜C’ certificates, demonstrating leadership skills.

Publication Profile

Oricd

πŸŽ“ Education

M.Tech in Engineering Materials – MANIT Bhopal (2021) – 8.46 CGPA. B.E. in Mechanical Engineering – RGPV Bhopal (2017) – 7.38 CGPA. 12th (PCM) – MPBSE Bhopal (2011) – 75%. 10th – MPBSE Bhopal (2009) – 75.83%

πŸ’Ό Experience

Intern – Remote Proctoring (TCS) (2020-2021). Intern – Technical Support Team (TCS) (2020-2021). Spring Manufacturing Technology Training – North Central Railway, Gwalior

πŸ† Awards & Honors

Chancellor’s Scholarship (2015) – RGPV University for academic excellence. GATE 2018 Qualified – Score: 460, Marks: 45.08

πŸ” Research Focus

Composite Materials & Polymer Science – Synthesis of basalt fiber-reinforced epoxy composites. Material Characterization & Manufacturing – Hand layup fabrication techniques. Advanced Materials & Nanotechnology – Participation in AMMS-2020 and NNIA-2020 workshops

Publication Top Notes

Title: Characterization of Eco-Engineered Hybrid Polymer Composites: Reinforcing Epoxy with Basalt Fibers and Recycled Biochar from Rice Husk for Enhanced Mechanical and Environmental Performance
Year: 2025
Authors: Adarsh Chaurasiya, R. S. Rana

 

omkar kulkarni | Mechanical | Young Scientist Award

Dr. omkar kulkarni | Mechanical | Best Researcher Award

Β 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

πŸŽ“ 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%.

πŸ’Ό 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.

πŸ† 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.

πŸ”¬ 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.

πŸ†ConclusionΒ 

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.

πŸ“šPublicationsΒ 

  • 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

 

 

Zi Chen | Pharmaceutical science |Best Researcher Award

Assist Prof Dr. Zi Chen | Pharmaceutical science | Best Researcher Award

Assist Prof Dr. Chen is an accomplished researcher and educator with a distinguished career spanning leading academic institutions such as Harvard Medical School, Brigham and Women’s Hospital, and Dartmouth College. With expertise in biomechanics, robotics, morphogenesis, epigenetics, and cancer biophysics, he has made significant contributions to fields ranging from mechanical metamaterials to embryonic development. Assist Prof Dr. Chen’s work has been recognized with numerous awards, including the Society in Science – Branco Weiss Fellowship, and he actively leads and participates in research projects funded by prestigious agencies like the National Science Foundation and Office of Naval Research. His commitment to innovation is evidenced by multiple accolades and grants supporting his pioneering research endeavors.

Profile

Scopus

Professional Experiences 🌟

06/01/2022-Now: Assistant Professor, Harvard Medical School, Brigham and Women’s Hospital. 02/01/2021-05/31/2022: Lead Investigator, Brigham and Women’s Hospital; Member of the Faculty, Harvard Medical School. 07/01/2015-12/31/2020: Assistant Professor, Thayer School of Engineering, Dartmouth College. 09/01/2014-06/30/2015: Research Scientist, Thayer School of Engineering, Dartmouth College, Hanover, NH; Visiting Associate, Department of Physics, Harvard University. 04/2013-08/31/2014: Research Scientist, Department of Biomedical Engineering, Washington University, St. Louis, MO. 10/2012-09/2017: Society in Science – Branco Weiss Fellow. 11/2011-4/2013: Postdoctoral Research Associate, Washington University, St. Louis, MO.

Education and Research Interests πŸ”¬

Education: Ph.D., 01/28/2012. Department of Mechanical & Aerospace Engineering, Princeton University. M.A., 06/30/2008. Department of Mechanical & Aerospace Engineering, Princeton University. M.E., 02/28/2005. School of Materials Science and Engineering, Shanghai JiaoTong University. B.E., 07/01/2002. School of Materials Science and Engineering, Shanghai JiaoTong University.

Research Interests: Biomechanics, robotics, morphogenesis, epigenetics, cancer biophysics.

Honors, Awards, and Grants πŸ†πŸ’Ό

Honors and Awards:

  • MassVenture Acorn Innovator Award, 2022.
  • Mask Innovation Challenge, Finalist, 2022.
  • International Association of Advanced Materials (IAAM) Innovation Award, 2020.
  • Society in Science – Branco Weiss fellowship, 2012-2017.
  • Outstanding Paper Award, ASME 2nd Global Congress on NanoEngineering for Medicine and Biology, 2013.
  • American Academy of Mechanics Founder’s Prize, 2012.

Current and Past Grants:

  • Active Topological Mechanical Metamaterials via Self-Assembly and Fractional Excitations.
  • Unveiling the Biomechanical Principles of Embryonic Brain and Heart Morphogenesis.
  • Reusable, transparent, and reconfigurable N95-equivalent Respirator Masks.

Publications Top Notes πŸ“

  • Biomechanics of a Plant-Derived Sealant for Corneal Injuries
    • Authors: B.S. Liu, M. Liao, W.L. Wagner, M. Ackermann, S.J. Mentzer
    • Journal: Translational Vision Science and Technology
    • Year: 2023
    • Volume: 12
    • Issue: 5
    • Pages: 20
    • Citations: 0

 

  • 3D stimulated Raman spectral imaging of water dynamics associated with pectin-glycocalyceal entanglement
    • Authors: M. Floess, T. Steinle, F. Werner, S.J. Mentzer, H. Giessen
    • Journal: Biomedical Optics Express
    • Year: 2023
    • Volume: 14
    • Issue: 4
    • Pages: 1460–1471
    • Citations: 2

 

  • Engineering human spinal microphysiological systems to model opioid-induced tolerance
    • Authors: H. Cai, Z. Ao, C. Tian, K. Mackie, F. Guo
    • Journal: Bioactive Materials
    • Year: 2023
    • Volume: 22
    • Pages: 482–490
    • Citations: 12

 

  • Geometric and network organization of visceral organ epithelium
    • Authors: B.S. Liu, J. Sutlive, W.L. Wagner, M. Ackermann, S.J. Mentzer
    • Journal: Frontiers in Network Physiology
    • Year: 2023
    • Volume: 3
    • Article: 1144186
    • Citations: 2

 

  • Title: Buckling forces and the wavy folds between pleural epithelial cells
  • Authors: J. Sutlive, B.S. Liu, S.A. Kwan, Z. Chen, S.J. Mentzer
  • Journal: BioSystems
  • Year: 2024
  • Volume: 240
  • Pages: 105216

Chi Ma | Mechanical Design | Best Scholar Award

Assoc Prof Dr. Chi Ma β€Œ | Mechanical Design|Best Scholar AwardΒ 

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

 

 

πŸ“šEducationΒ 

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)

✨ 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

πŸ§‘β€πŸ”¬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

πŸ… 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

πŸ“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 πŸ“

 

  1. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. πŸ“„ 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.
    πŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. πŸ“„ 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.
    πŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. πŸ“„ 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.