Kumaran Thanikasalam | Mechanical Engineering | Young Scientist Award

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Mr. Kumaran Thanikasalam | Mechanical Engineering | Young Scientist Award

Anna University| India

Mr. Kumaran Thanikasalam is an exceptional Master of Science candidate specializing in Aerospace Engineering with a focus on advanced propulsion systems and computational modeling. He holds a Bachelor of Engineering in Mechanical Engineering from College of Engineering Guindy, Anna University, Chennai, where he demonstrated academic excellence with a high CGPA. Kumaran has cultivated a deep understanding of fluid dynamics, physics, nuclear fusion propulsion, and aerospace systems, complemented by hands-on experience in machine design, hydraulic systems, and opto-electromechanical instrumentation. He has contributed to innovative research projects, including the development of a high-precision opto-electromechanical linear comparator, volumetric strain energy theory for material failure prediction, and advanced machine learning–driven measurement systems. His work integrates computational modeling, mechanism design, fabrication, and programming in Python and Arduino, showcasing interdisciplinary expertise. Kumaran has also designed and analyzed complex gear systems, hydraulic circuits, micro sandblasting machines, and automated devices for precision applications. Kumaran’s achievements extend beyond academia, earning numerous national and international awards for excellence in science, mathematics, aerospace engineering, and innovative problem-solving. His accolades include the Bharat Vibhushan Award, Genius Indian Achievers Award, and recognitions from multiple national and international record organizations, along with college-level gold medals and prizes for academic and co-curricular accomplishments. He has completed multiple internships and training programs, gaining practical experience in rocket engine projects, aerodynamic analysis, cryogenic technology, aircraft design, and product development with industry leaders and online platforms. Proficient in software tools such as ANSYS, COMSOL Multiphysics, SolidWorks, Catia, OpenFOAM, and MATLAB, he combines technical expertise with strong analytical, leadership, and project management skills. Fluent in English and Tamil, Kumaran is a professional member of several aerospace, engineering, and scientific societies, including AIAA, RAeS, IEEE, ASME, and the National Space Society. Through his innovative research, interdisciplinary skills, and leadership in project execution, he is poised to make significant contributions to aerospace engineering, advanced propulsion research, and precision measurement technologies.

Featured Publications

  • Thanikasalam, K. (2024). Design and kinematic analysis of a two-sided asymmetric scotch yoke mechanism with variable stroke lengths. Premier Journal of Engineering.

  • Thanikasalam, K. (2024, November 11). Design of a hydraulic circuit for a four-sided shaper machine. [Preprint].

  • Thanikasalam, K. (2024, November 11). Design of a hydraulic circuit for a two-sided shaper machine. [Preprint].

  • Thanikasalam, K., & MalarMohan, K. (2024, November 11). Volumetric strain energy theory of failure. [Preprint].

  • Thanikasalam, K., Srihari, S., Kaushik, S., & Samuel Raj, D. (2025). Machine learning-enabled high accuracy opto-electromechanical linear comparator. Measurement, Elsevier.

 

Ehsan Hedayati | Mechanical Engineering | Young Scientist Award

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Mr. Ehsan Hedayati | Mechanical Engineering | Young Scientist Award

Islamic Azad University-Saveh Branch | Iran

Ehsan Hedayati is a dedicated researcher and professional in mechanical engineering with extensive experience in areas such as mechanics of materials, advanced manufacturing, composite materials, biomechanics, and biomedical engineering. He serves as the Director of the Mechanics Laboratory at a prominent engineering firm in Iran and holds an editorial board position with the Journal of Recent Research in Science and Technology. Recognized for his contributions to peer review, he has been acknowledged as a top reviewer by numerous international journals and is ranked among the leading reviewers worldwide by Publons. Ehsan is an active member of respected scientific communities, including the International Association of Engineers and the Young Researchers and Elites Club. His scholarly work includes several widely cited publications that demonstrate his influence across both academic and industrial domains. With a strong foundation in interdisciplinary research, Ehsan continues to advance engineering innovation and promote the practical application of scientific knowledge.

Profile

Scopus | Orcid | Google Scholar

Education 

Ehsan Hedayati holds a Master’s degree in Mechanical Engineering with a specialization in Manufacturing and Production from Islamic Azad University, Saveh, where he graduated with distinction and earned high academic honors. His thesis, guided by a respected faculty advisor, received exceptional recognition for its quality and innovation. He also completed his Bachelor’s degree in Manufacturing and Production Technology Engineering – Machine Tool from the University of Applied Science and Technology, graduating at the top of his class. Prior to this, he earned an associate degree in Machine Tool from the same institution, where he consistently demonstrated academic excellence. Throughout his educational journey, Ehsan has shown a deep commitment to engineering fundamentals, research innovation, and hands-on application. His strong academic background has provided a solid foundation for success in both research and industry, with a focus on material mechanics, design optimization, and computational analysis.

Experience 

Ehsan Hedayati has over a decade of experience in engineering practice and academic collaboration. he has served as Director of the Mechanical Engineering Laboratory at a prominent engineering company, where he leads research and innovation in mechanical design, biomechanics, and advanced manufacturing. He previously worked as a laboratory expert at a university, contributing to academic training in manufacturing technologies. His professional experience includes directing applied engineering projects focused on topics such as corrosion resistance, deep drawing optimization, and defect detection using ultrasonic waves. In addition to his technical roles, Ehsan has experience teaching courses like material mechanics, differential equations, finite-element analysis using ABAQUS, and CAD design with CATIA. His hands-on expertise in software, standards, and experimental analysis supports his leadership in both academic and industrial settings. He is also active in peer review and scientific publication, further strengthening his multidisciplinary profile.

Awards and Honors 

Ehsan Hedayati has received multiple prestigious awards and recognitions for his academic and research excellence. He achieved top ranks during his associate and bachelor’s degree programs and earned high distinction for his master’s thesis. His research accomplishments were further highlighted by receiving the Best Paper Award at a national conference focused on the automotive industry. Ehsan has made significant contributions to the scholarly community by reviewing numerous manuscripts for reputable, high-impact journals and has been consistently recognized for his excellence in peer review, including commendations from Publons. He serves on the editorial and reviewer boards of several respected international journals. Additionally, he has been awarded merit-based scholarships and grants in recognition of his academic and publication achievements. His growing citation record and h-index on Google Scholar reflect the impact of his research. As a member of prominent scientific societies and global engineering organizations, Ehsan is known for his dedication to advancing research and maintaining high scientific standards.

Research Focus

Ehsan Hedayati’s research focuses on the intersection of mechanical engineering, materials science, and biomedical innovation. His work explores the mechanics of materials, optimization of composite structures, and development of advanced manufacturing techniques. He has led projects on ultrasonic wave detection for subcutaneous defects, deep drawing processes, and corrosion resistance in automotive components. Ehsan frequently employs computational tools like ABAQUS and Smoothed Particle Hydrodynamics (SPH) for modeling and simulation in structural mechanics. His research also extends to biomechanical analysis, where he integrates medical imaging and materials behavior to support biomedical applications. Several of his studies have appeared in reputable international journals and conferences, with one publication ranked among the top most cited papers in its field. His practical contributions span academic, industrial, and interdisciplinary domains, enhancing design optimization, reliability, and performance in mechanical systems. Ehsan’s research continues to bridge theory and application across engineering and healthcare technologies.

Publications

  1. Numerical investigation of penetration in Ceramic/Aluminium targets using Smoothed particle hydrodynamics method and presenting a modified analytical model
    Year: 2017
    Citations: 38

  2. Using extended finite element method for computation of the stress intensity factor, crack growth simulation and predicting fatigue crack growth in a slant-cracked plate
    Year: 2014
    Citations: 27

  3. Evaluating Impact Resistance of Aluminum 6061-T651 Plate using Smoothed Particle Hydrodynamics Method
    Year: 2018
    Citations: 7

  4. Detection and identification of subcutaneous defects using ultrasonic waves in reflective test
    Year: 2021
    Citations: 6

  5. Critical buckling load analysis of truck chassis using arclength method
    Year: 2015
    Citations: 5

Conclusion

Ehsan Hedayati exemplifies the qualities of a promising young scientist, with a proven track record of excellence in research, teaching, and professional service. His innovative contributions to mechanical engineering, combined with strong academic achievements and editorial responsibilities, make him a deserving candidate for the Young Scientist Award. By building international collaborations, expanding into interdisciplinary research, and pursuing doctoral-level studies, he can further strengthen his candidacy and make even greater contributions to the scientific community.

Chuang Qian | Engineering | Best Researcher Award

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Dr. Chuang Qian| Engineering | Best Researcher Award

Dr.  Chuang Qian Wuhan University of Technology,  China

Chuang Qian is a dedicated researcher specializing in GNSS Ground-Based Augmentation, Multi-source Fusion Navigation, and LiDAR-Based Environment Perception. Holding a Postdoctoral position at Wuhan University’s GNSS Center, he has published 20 SCI/EI papers, with 6 as the first author and 2 as a corresponding author. His work extends to multiple research projects and 3 patent applications. With a solid educational background, including a Ph.D. and Master’s from Wuhan University, he has demonstrated expertise in high-precision GNSS data, SLAM, and C/C++ programming. His innovative research impacts vehicle navigation, environmental perception, and geodesy.

Publication Profile

Scopus

Orcid

 

Research for Best Researcher Award Evaluation

Strengths for the Award 🌟

  1. Diverse and Cutting-Edge Research Topics: Chuang Qian’s research covers a range of advanced topics in navigation and sensing technologies, including GNSS augmentation, multi-source fusion navigation, and LiDAR-based perception. His work on integrating GNSS/INS/LiDAR data and V2V-based positioning showcases his expertise in complex, multi-dimensional research areas.
  2. Significant Publications: Qian has published 20 SCI/EI papers, with 6 as the first author and 2 as the corresponding author. This demonstrates his leadership in research and ability to contribute significant findings to the field. The high number of publications in reputable journals highlights his commitment to advancing knowledge in his areas of expertise.
  3. Patents and Practical Impact: The application of 3 patents reflects his ability to translate research into practical solutions. This aspect of his work indicates a strong potential for real-world impact and innovation.
  4. Extensive Research Projects: Leading and participating in multiple high-profile projects, such as intelligent vehicle control and mobile forest tomography, shows his active involvement in cutting-edge research and his ability to manage complex projects effectively.
  5. Strong Academic Background: Qian’s educational journey from a Bachelor’s to a Postdoctoral level at Wuhan University, particularly within the GNSS Center, provides a solid foundation for his research work. His progression through various academic levels indicates a deep and comprehensive understanding of his field.

Areas for Improvement 🔍

  1. Broader Impact and Collaboration: While Qian’s individual achievements are substantial, there is potential for greater impact through broader collaborations with other institutions or industries. Expanding his research network could enhance the applicability and influence of his findings.
  2. Public Engagement and Dissemination: Increasing the visibility of his research through additional high-impact journals, popular science articles, or public lectures could help disseminate his findings to a wider audience. Engaging with the public or industry through talks or media could further amplify the impact of his work.
  3. Language Skills: While Qian’s English proficiency is adequate (IELTS 6.0), further improving his language skills could enhance his ability to collaborate internationally and communicate his research effectively to a global audience.
  4. Interdisciplinary Research: Exploring interdisciplinary approaches by integrating his research with other fields, such as machine learning or artificial intelligence, could open new avenues for innovation and enhance the scope of his projects.

🗺️ Research Interests

GNSS Ground-Based Augmentation. GNSS/LEO Satellite-Based Augmentation. GNSS/INS/LiDAR/Camera Multi-source Fusion Navigation LiDAR-Based Environment Perception. V2V-Based Multi-source Collaborative Positioning

🏆 Achievements

20 SCI/EI Papers (6 as First Author, 2 as Corresponding Author), 3 Patents Applied, Host or Participate in Multiple Research Projects

🎓 Education

Wuhan University (2018.6 – Present) Postdoctoral, GNSS Center. Wuhan University (2013.9 – 2018.6) Ph.D., GNSS Center. Wuhan University (2011.9 – 2013.6) Master’s, GNSS Center. Wuhan University (2007.9 – 2011.6) Bachelor’s, School of Geodesy and Geomatics

📂 Projects

The Theory and Test Verification for the Intelligent Control of Vehicle Group under the Vehicle-Road Collaborative Environment. Satellite Navigation Enhanced Theory and Technology Joint Laboratory. Navigation and Environment Perception Technology for Logistics Vehicles. Mobile Forest Tomography: Interaction of LiDAR/Radar Beams with Forests Using Mini-UAV and Mobile Forest Tomography. Research on LiDAR and Visual-Aided Lane-Level

🛠️ Skills

  • Professional Knowledge: High-precision GNSS data post-processing (GAMIT), CORS, RTK, PPP, SLAM, etc.
  • Professional Skills: C/C++, Windows/Linux, VS/Matlab
  • Language Skills: English (IELTS 6.0)

 

Publication Top Notes

  • Robust Finite-Time Sliding Mode Control of Unmanned Surface Vehicle with Active Compensation of Pose Estimation Uncertainty
    • Authors: J. Meng, H. Tan, L. Jiang, Z. Hu, G. Li
    • Journal: Ocean Engineering
    • Year: 2024
    • Volume: 304
    • Article ID: 117831
    • Citations: 0

 

  • A LiDAR–INS-Aided Geometry-Based Cycle Slip Resolution for Intelligent Vehicle in Urban Environment with Long-Term Satellite Signal Loss
    • Authors: H. Zhang, C. Qian, W. Li, B. Li, H. Liu
    • Journal: GPS Solutions
    • Year: 2024
    • Volume: 28
    • Issue: 2
    • Article ID: 61
    • Citations: 2

 

  • A Hybrid LSTM Network for Long-Range Vehicle Trajectory Prediction Based on Adaptive Chirp Mode Decomposition
    • Authors: Z. Wang, H. Zhang, C. Qian, Y. Cao, M. Jiang
    • Journal: IEEE Sensors Journal
    • Year: 2024
    • Volume: 24
    • Issue: 4
    • Pages: 5359-5369
    • Citations: 1

 

  • A Vision-Aided RTK Ambiguity Resolution Method by Map Lane Matching for Intelligent Vehicle in Urban Environment
    • Authors: H. Zhang, C. Qian, W. Li, B. Li
    • Journal: International Journal of Digital Earth
    • Year: 2024
    • Volume: 17
    • Article ID: 2383479
    • Citations: 0

 

  • Tightly Coupled Integration of Vector HD Map, LiDAR, GNSS, and INS for Precise Vehicle Navigation in GNSS-Challenging Environment
    • Authors: H. Zhang, C. Qian, W. Li, B. Li, H. Liu
    • Journal: Geo-Spatial Information Science
    • Year: 2024
    • Citations: 0

 

  • Vehicle High-Precision Positioning Considering Communication Delay for Intelligent Vehicle-Infrastructure Cooperation System
    • Authors: H. Zhang, C. Qian, Q. Zhao, W. Li, B. Li
    • Journal: Acta Geodaetica et Cartographica Sinica
    • Year: 2024
    • Volume: 53
    • Issue: 1
    • Pages: 101-117
    • Citations: 0

 

Conclusion 🏆

Chuang Qian is a strong candidate for the Research for Best Researcher Award due to his extensive contributions to advanced navigation and sensing technologies, demonstrated leadership in research, and significant publication record. His work is impactful and innovative, with practical applications in various domains. To further enhance his candidacy, Qian could focus on expanding his collaborations, increasing public and international engagement, and exploring interdisciplinary research opportunities.