Thillikkani Shanmugam | Experimental Methods | Research Excellence Award

Published on by Global Energy Awards

Research Excellence Award

Thillikkani Shanmugam
Suguna College of Engineering, India

Thillikkani Shanmugam
Affiliation Suguna College of Engineering
Country India
Scopus ID 57213519516
Documents 18
Citations 57
h-index 3
Subject Area Experimental Methods
Event Global Energy Awards

Thillikkani Shanmugam is an academic researcher whose work focuses on experimental methods, mechanical systems, composite materials, fatigue analysis, and automotive engineering applications. Her scholarly contributions emphasize performance evaluation, failure investigation, and optimization techniques relevant to industrial and transportation systems.[1]

Abstract

This article summarizes the academic achievements of Thillikkani Shanmugam in experimental and mechanical engineering research. Her publications address fatigue behavior, suspension systems, composite materials, and engineering optimization. The body of work demonstrates practical relevance to vehicle reliability, structural performance, and material characterization within contemporary engineering environments.[2]

Keywords

Experimental Methods, Fatigue Analysis, Composite Materials, Failure Investigation, Vehicle Suspension Systems, Mechanical Engineering, Finite Element Analysis, Materials Characterization.

Introduction

The researcher has contributed to engineering studies involving durability assessment and material performance. Her investigations frequently combine analytical methods with practical applications in transportation and manufacturing sectors. Such work supports improved engineering design, operational safety, and long-term system reliability.[3]

Research Profile

According to publicly available scholarly records, Thillikkani Shanmugam has accumulated citations and peer-reviewed publications across mechanical and materials engineering domains. Her profile reflects sustained engagement with applied engineering challenges, particularly those associated with heavy vehicles, polymers, and structural components used in demanding operating conditions.

Research Contributions

Major contributions include fatigue life prediction of suspension systems, failure analysis of leaf springs, evaluation of shackle brackets under dynamic loading, and optimization of engineering materials. These studies provide evidence-based insights that support improved design decisions and enhanced component performance in industrial applications.[4]

Publications

Her publication portfolio includes research on heavy vehicle suspension systems, engineering failure analysis, polymer matrix composites, electromagnetic vibration optimization, and nanomaterial-enhanced automotive components. The collective output highlights interdisciplinary engagement across mechanical design, materials science, and computational engineering methodologies.[5]

Research Impact

The research has contributed to the understanding of structural durability and material behavior in engineering systems. Citation activity and continued publication demonstrate relevance within the scholarly community. The outcomes support both academic advancement and industrial problem-solving initiatives.

Award Suitability

The documented research record aligns with the objectives of the Global Energy Awards by emphasizing innovation, engineering analysis, and practical technological advancement. Contributions in optimization, materials performance, and system reliability reflect qualities commonly recognized in academic excellence and research achievement programs.

Conclusion

Thillikkani Shanmugam’s scholarly work demonstrates consistent engagement with engineering research and experimental investigation. Through publications addressing mechanical performance, fatigue assessment, and material innovation, she has established a record of contributions that support knowledge development and engineering practice.

References

  1. Elsevier. (n.d.). Scopus author details: Thillikkani Shanmugam, Author ID 57213519516. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57213519516
  2. Thillikkani, S., & Nataraj, M. (2019). Failure analysis of leaf spring suspension system for heavy load truck vehicle. International Journal of Heavy Vehicle Systems.
    https://www.inderscienceonline.com/doi/abs/10.1504/IJHVS.2020.104413
  3. Thillikkani, S., & Nataraj, M. (2020). Fatigue life prediction of heavy vehicle suspension system under varying load conditions. Advances in Mechanical Engineering.
    https://journals.sagepub.com/doi/10.1177/1687814020968325
  4. Thillikkani, S., Nataraj, M., King, F. L., et al. (2021). Failure analysis of shackle bracket in Airbus suspension under dynamic loading conditions. Engineering Failure Analysis.
    https://www.sciencedirect.com/journal/engineering-failure-analysis
  5. Thillikkani Shanmugam, S., & Abraham, D. S. M. (2025). Mechanical Characterization and Thermal Investigation of Nylon Polymer Matrix Composites Used in Automotive Power Train Systems. Materials Research Express.
    https://iopscience.iop.org/journal/2053-1591

Thiyagarajan M | Experimental methods | Best Researcher Award

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Dr. Thiyagarajan M | Experimental methods | Best Researcher Award

JNN Institute of Engineering | India

Dr. Thiyagarajan M. is an accomplished physicist with a strong foundation in material synthesis and crystal growth. He holds a Ph.D. in Physics from Vellore Institute of Technology (VIT) and has been recognized as a Research Supervisor by Anna University. His academic journey and professional career reflect his deep commitment to research and education, focusing on nonlinear optical applications and the development of advanced materials. He is currently an Assistant Professor in the Department of Physics at JNN Institute of Engineering, Chennai.

👨‍🎓Profile

Scopus

Early Academic Pursuits 🎓

Dr. Thiyagarajan’s academic journey began with a Bachelor of Science (B.Sc.) in Physics from Sri Vidya Mandir Arts & Science College (2011), where he excelled with a 76.2%. His passion for physics led him to pursue a Master of Science (M.Sc.) in Physics from Periyar University, achieving a 70.7%. His academic brilliance culminated in a Ph.D. in Physics, awarded by VIT-Chennai in July 2024, under the guidance of Dr. G. Vinitha.

Professional Endeavors 💼

Dr. Thiyagarajan’s professional career reflects a balance between teaching and research. He is dedicated to fostering a progressive and competitive work culture in academia. As an Assistant Professor at JNN Institute of Engineering since September 2024, he strives to bring innovative approaches to teaching physics while guiding students in research projects. His efforts have earned him recognition for his outstanding communication skills and his ability to inspire students to reach their academic potential.

Contributions and Research Focus 🔬

Dr. Thiyagarajan’s primary research focus is on the synthesis, growth, and characterization of novel materials, particularly those with applications in optoelectronics and nonlinear optics (NLO). His research on morpholinium-based crystals has paved the way for significant contributions to material science. He utilizes low-temperature solution growth techniques and the SR method to create organic-based single crystals with enhanced thermal, mechanical, and optical properties. These contributions are critical for advancing technologies in electronic devices, laser applications, and advanced sensors.

Research Skills 🧪

Dr. Thiyagarajan possesses a broad spectrum of research skills, including expertise in X-ray diffraction (XRD), thermogravimetric analysis (TGA), UV-Vis-NIR spectroscopy, and chemical etching. His work with high-purity chemicals, along with his proficiency in laser damage threshold and Z-scan measurements, has enabled him to make cutting-edge contributions in the field of material characterization. His expertise in low-temperature crystal growth and crystal cutting/polishing is instrumental in creating materials with exceptional properties.

Teaching Experience 👨‍🏫

As an Assistant Professor at JNN Institute of Engineering, Dr. Thiyagarajan brings a wealth of teaching experience to the classroom. His passion for teaching physics drives him to use innovative methodologies that encourage active learning and critical thinking. He is known for his ability to simplify complex concepts and make them accessible to students at all levels. His commitment to student development extends beyond the classroom, as he actively mentors students in research projects and guides them through academic challenges.

Awards and Honors 🏆

Dr. Thiyagarajan’s research and teaching excellence have been recognized with several awards and honors:

  • Best Poster Presentation Award at the 21st National Seminar on Crystal Growth and Application (2018)
  • Life Membership in the Indian Association for Crystal Growth (Membership No. 029/2012)
  • Recognition as a Research Supervisor by Anna University
  • Completion of the NPTEL Online Course on Structural Analysis of Nanomaterials with an Elite Grade in August 2024

Legacy and Future Contributions 🔮

Dr. Thiyagarajan is poised to continue making substantial contributions to material science and optoelectronics in the years to come. His innovative work in crystal engineering and nonlinear optical materials lays the foundation for future developments in next-generation optoelectronic devices. With his continuous commitment to research, Dr. Thiyagarajan aims to push the boundaries of material science and contribute to the global scientific community. As his research continues to evolve, his legacy will undoubtedly inspire future generations of scientists and engineers.

Publications Top Notes

Simulation analysis on furnace pressure for reducing the impurities concentrations distribution during the growth of mc-Si ingot by DS process: Solar cell applications

  • Authors: Sekar, S., Maadhu, T., Gurusamy, A., Gandhiraj, V., Perumalsamy, R.
    Journal: Chemical Physics
    Year: 2024

Novel Metal-Organic Framework and Crystal Engineering of Bismorpholinium Mercury(II) Tribromo Chloride (BMMC) for Optoelectronic Applications

  • Authors: Maadhu, T., Jauhar, R.M., Raja, A., Gandhiraj, V., Senthil Pandian, M.
    Journal: Crystal Growth and Design
    Year: 2024, 24(4), pp. 1632–1647

Enhancement of optical, electrical, mechanical and thermal properties with Hirshfeld surface analysis of organic piperazine para-nitrophenol crystals: An effective material for NLO device fabrication

  • Authors: Kannan, V., Maadhu, T., Periyasamy, P., Gandhiraj, V., Periyasamy, P.
    Journal: Journal of Solid State Chemistry
    Year: 2024, 330, 124457

Synthesis, experimental and theoretical studies of morpholinium bromide single crystal for NLO application

  • Authors: Maadhu, T., Jauhar, R.O.M., Raja, A., Pandian, M.S., Periyasamy, P.
    Journal: Journal of Molecular Structure
    Year: 2023, 1294, 136522

Design, crystal growth and characterizations of novel bis morpholinium zinc bromide single crystals for optoelectronic applications

  • Authors: Maadhu, T., Gandhiraj, V.
    Journal: Optical Materials
    Year: 2023, 138, 113694

Growth, structural, optical, thermal and mechanical properties of morpholinium 3,5-Dinitrosalicylate single crystals for nonlinear optical applications

  • Authors: Maadhu, T., Vinitha, G.
    Journal: Journal of Materials Science: Materials in Electronics
    Year: 2022, 33(26), pp. 20911–20928

 

 

 

Jie Tian | Experimental methods | Best Researcher Award

Published on by Global Energy Awards

Prof. Jie Tian | Experimental methods | Best Researcher Award

Dr. Jie Tian is a distinguished Professor at the Institute of Acoustics, Chinese Academy of Science, Beijing, China. He holds a Ph.D. in Automatic Control from Beijing Institute of Technology (2002) and a Bachelor’s degree in Automatic Control from Northwestern Polytechnic University (1995). His primary research focus lies in the fields of underwater information and signal processing and classification & image processing.

👨‍🎓Profile

Scopus

🎓 Early Academic Pursuits

Dr. Tian’s academic journey began at Northwestern Polytechnic University, where he earned his Bachelor’s degree in Automatic Control in 1995. Building on this foundation, he pursued his Ph.D. at Beijing Institute of Technology, specializing in Automatic Control. His studies laid the groundwork for his deep engagement with signal processing and image processing algorithms, disciplines that continue to define his career today.

💼 Professional Endeavors

Dr. Tian’s professional career spans over two decades, marked by significant contributions to both academia and research. He is currently a Professor at the Institute of Acoustics, Chinese Academy of Science, where he has worked since 2002. His career trajectory includes a Postdoctoral fellowship and Associate Professorship at the same institution, where he developed theoretical algorithms for image processing and worked extensively on information processing systems. His transition from postdoc to professor reflects his growing influence in his field, particularly in the domain of underwater acoustic communication networks and image classification.

🔬 Contributions and Research Focus

Dr. Tian’s research contributions are far-reaching and impactful. His expertise includes underwater information processing, with a particular focus on underwater object classification, and sonar image processing. Notable areas of his work include:

  • Cross-layer routing protocols for underwater acoustic communication networks.
  • Deformable residual networks and transfer learning for underwater object classification in SAS images.
  • Deep neural networks for classification in high-resolution sonar images.

His focus on advanced algorithms such as deep neural networks and SVM-based techniques has helped push forward the frontiers of image classification and signal processing in challenging underwater environments.

🧑‍🏫 Teaching Experience

Dr. Tian is not only a researcher but also a dedicated educator. As a Professor, he has mentored countless students and guided the next generation of researchers in the Institute of Acoustics. His expertise in image processing and signal processing provides students with valuable insights into cutting-edge technologies, preparing them for careers in academic research and industry applications.

🔮 Legacy and Future Contributions

Dr. Tian’s work has already left a lasting impact on underwater imaging and signal processing. Looking ahead, his future contributions are likely to expand into AI-driven underwater communication systems and real-time processing algorithms, further advancing the practical applications of his research. His continued focus on image processing algorithms and deep learning will undoubtedly lead to more innovative breakthroughs that enhance the capabilities of underwater technologies, benefiting both scientific exploration and practical communication systems.

Publications Top Notes

  • Cross-Layer Routing Protocol Based on Channel Quality for Underwater Acoustic Communication Networks
    Authors: He, J., Tian, J., Pu, Z., Wang, W., Huang, H.
    Journal: Applied Sciences (Switzerland)
    Year: 2024
  • Underwater Object Classification in SAS Images Based on a Deformable Residual Network and Transfer Learning
    Authors: Gong, W., Tian, J., Liu, J., Li, B.
    Journal: Applied Sciences (Switzerland)
    Year: 2023
  • Underwater Object Classification Method Based on Depthwise Separable Convolution Feature Fusion in Sonar Images
    Authors: Gong, W., Tian, J., Liu, J.
    Journal: Applied Sciences (Switzerland)
    Year: 2022
  • Underwater objects classification method in high-resolution sonar images using deep neural network
    Authors: Zhu, K., Tian, J., Huang, H.
    Journal: Shengxue Xuebao/Acta Acustica
    Year: 2019
  • Small Underwater Objects Classification in Multi-View Sonar Images Using the Deep Neural Network
    Authors: Zhu, K., Tian, J., Huang, H.
    Journal: Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
    Year: 2020

 

 

Mohsen Talebkeikhah | Experimental methods | Best Researcher Award

Published on by Global Energy Awards

Mr. Mohsen Talebkeikhah | Experimental methods | Best Researcher Award

Doctoral Assistance at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Mohsen Talebkeikhah is a dedicated researcher specializing in geoscience and geomechanics. Currently pursuing a Ph.D. in Mechanical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, he has received the prestigious Swiss Government Excellence Scholarship. With a strong academic background, he has consistently ranked at the top of his classes during his B.Sc. and M.Sc. studies at Amirkabir University of Technology in Tehran, Iran. Mohsen is not only passionate about his research but also actively contributes to the academic community through various extracurricular activities, including co-authoring a book and participating in scientific associations. His commitment to innovation in the field of geoscience and computational mechanics reflects his drive to make a lasting impact in academia and industry.

Profile

Early Academic Pursuits 🎓

Mohsen Talebkeikhah’s academic journey began with a High School Diploma in Mathematical Physics from Shahid Soltani High School, where he achieved an outstanding GPA of 19.88/20. This strong foundation propelled him into the B.Sc. in Geoscience at Amirkabir University of Technology, where he ranked first in his department with a cumulative GPA of 18.62/20. He continued to excel in his M.Sc. in Geoscience, achieving the same top rank and a GPA of 18.81/20.

Professional Endeavors 🌍

Currently pursuing a Ph.D. in Mechanical Engineering at the prestigious École Polytechnique Fédérale de Lausanne (EPFL), Mohsen has been awarded the Swiss Government Excellence Scholarship, further demonstrating his commitment to advancing his knowledge and skills. His research interests span Geoscience, Geomechanics, and Computational Geomechanics, blending traditional engineering principles with modern computational techniques.

Contributions and Research Focus 🔍

Mohsen has made significant contributions to the field through publications such as “Measurement of Hydraulic Fracture Aperture by Electromagnetic Induction Sensors” (2024). His work encompasses the application of Data Science, Machine Learning, and Artificial Intelligence in geoscience, showcasing his interdisciplinary approach to research.

Impact and Influence 🌟

With numerous awards and accolades, including ranking first in both his undergraduate and graduate programs, Mohsen’s influence extends beyond his academic achievements. He has participated in national contests, earning recognition for his innovative solutions in Reservoir Optimization and Designing Light Drilling Fluids.

Academic Citations 📚

His contributions to the field have been recognized with multiple citations, reflecting his growing impact on geoscience and engineering research. For detailed metrics, Mohsen’s work can be explored on platforms like Google Scholar, where his extensive publication record is available.

Technical Skills ⚙️

Mohsen is proficient in a variety of software tools, including FEM, SolidWorks, CFD (ANSYS-Fluent), and programming languages such as Python, C/C++, and Fortran. His expertise in Matlab and Mathematica further complements his technical skill set, enabling him to tackle complex engineering problems.

Teaching Experience 👨‍🏫

In addition to his research activities, Mohsen has engaged in educational roles, contributing to the academic community as a member of the Scientific Association of Petroleum Engineering at Amirkabir University. His collaborative efforts in co-authoring the book “Alumina-Catalyst” highlight his dedication to knowledge sharing and mentorship.

Legacy and Future Contributions 🌱

As Mohsen Talebkeikhah continues his academic journey, his legacy will undoubtedly include impactful research that bridges the gap between traditional engineering and modern computational techniques. His future contributions are poised to advance the fields of Geoscience and Geomechanics, inspiring the next generation of engineers and researchers. With a solid foundation and a vision for innovation, Mohsen is set to make lasting contributions to both academia and industry.

📖Publication Top Notes

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process
  • Authors: Talebkeikhah, F., Rasam, S., Talebkeikhah, M., Salimi, A., Moraveji, M.K.
  • Publication Year: 2022
  • Citations: 16
A Comparison of Machine Learning Approaches for Prediction of Permeability using Well Log Data in the Hydrocarbon Reservoirs
  • Authors: Talebkeikhah, M., Sadeghtabaghi, Z., Shabani, M.
  • Publication Year: 2021
  • Citations: 20
Improving the thermal conductivity of ethylene glycol by addition of hybrid nano-materials containing multi-walled carbon nanotubes and titanium dioxide: applicable for cooling and heating
  • Authors: Rostami, S., Kalbasi, R., Talebkeikhah, M., Goldanlou, A.S.
  • Publication Year: 2021
  • Citations: 63
Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation
  • Authors: Rasam, S., Talebkeikhah, F., Talebkeikhah, M., Salimi, A., Moraveji, M.K.
  • Publication Year: 2021
  • Citations: 16
Iterative Ensemble Kalman Filter and genetic algorithm for automatic reconstruction of relative permeability curves in the subsurface multi-phase flow
  • Authors: Adibifard, M., Talebkeikhah, M., Sharifi, M., Hemmati-Sarapardeh, A.
  • Publication Year: 2020
  • Citations: 17