Shaise John | Structural Engineering | Best Researcher Award

Mr. Shaise John | Structural Engineering | Best Researcher Award

College of Engineering Trivandrum, India

Author Profile

Early Academic Pursuits

Shaise K John began their academic journey at Amal Jyothi College of Engineering in Kerala, India, where they earned a Bachelor's degree in Civil Engineering. This foundational education provided them with the fundamental knowledge and skills necessary for their future endeavors in structural engineering.

Professional Endeavors

Building upon their undergraduate studies, Shaise pursued a Master's degree in Structural Engineering at the College of Engineering Trivandrum in Thiruvananthapuram, Kerala. This advanced degree equipped them with specialized knowledge in structural analysis, design, and materials, laying the groundwork for their professional career in the field.

Contributions and Research Focus

Shaise K John has made significant contributions to the field of structural engineering through their research endeavors. Their work has focused on various aspects, including the cyclic response of bolted and hybrid pultruded FRP beam-column joints, the prediction of compressive strength in fly ash-slag geopolymer mortar using artificial neural networks, and the mechanical properties and durability of fly ash and fly ash-slag geopolymer mortar. Additionally, they have explored topics such as bolted and bonded FRP beam-column joints and nonlinear finite element modeling of concrete columns confined with textile-reinforced mortar.

Accolades and Recognition

Shaise's research contributions have been recognized within the academic community, evidenced by their publications in reputable journals such as Fibers, Advances in Civil Engineering, Construction and Building Materials, Composite Structures, and IOP Conference Series: Earth and Environmental Science. Their work has garnered attention for its innovation and relevance to the field of structural engineering.

Impact and Influence

Shaise K John's research has had a tangible impact on advancing knowledge and understanding in structural engineering. By addressing critical challenges and exploring novel methodologies, their work contributes to the development of safer, more efficient, and sustainable infrastructure systems.

Legacy and Future Contributions

As Shaise continues their academic and professional journey, their legacy in the field of structural engineering is poised to grow. Through ongoing research, collaboration, and mentorship, they will further expand our understanding of structural behavior and contribute to the development of innovative solutions for real-world engineering challenges. Their dedication to excellence and commitment to advancing the field ensure a bright future for structural engineering.

Citations

A total of 223 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         223
  • h-index           5
  • i10-index        3

Notable Publications 

Effect of source materials, additives on the mechanical properties and durability of fly ash and fly ash-slag geopolymer mortar: A review

SK John, Y Nadir, K Girija
Construction and Building Materials

Bolted and hybrid beam-column joints between I-shaped FRP profiles

J Qureshi, Y Nadir, SK John
Current Perspectives and New Directions in Mechanics,

Effect of addition of nanoclay and SBR latex on fly ash-slag geopolymer mortar

SK John, Y Nadir, A Cascardi, MM Arif, K Girija
Journal of Building Engineering

Tensile and bond behaviour of basalt and glass textile reinforced geopolymer composites

SK John, Y Nadir, NK Safwan, PC Swaliha, K Sreelakshmi, VA Nambiar
Journal of Building Engineering

Chuen-Horng Lin | Computer Science and Information Engineering | Best Researcher Award

Prof. Chuen-Horng Lin | Computer Science and Information Engineering | Best Researcher Award

National Taichung University of Science and Technology, Taiwan

Author Profile

Early Academic Pursuits

Chuen-Horng Lin embarked on his academic journey with a focus on applied mathematics, earning his M.S. and Ph.D. degrees from National Chung-Hsing University in Taiwan. His early research delved into stress and strength analysis, particularly in composite materials, utilizing the Direct Boundary Element Method.

Professional Endeavors

Transitioning into computer science and engineering, Lin has made significant contributions to various fields, including computer vision, image processing, machine learning, deep learning, and pattern recognition. His work has encompassed automated image and video analysis, emphasizing detection, tracking, and segmentation methods.

Contributions and Research Focus

Lin's research has spanned several impactful areas, from the stress analysis of bolted composite joints to the development of fast image retrieval systems. His publications reflect a diverse range of interests, including repairable systems, fuzzy analysis of queueing systems, and parametric programming approaches for batch arrival queues. Notably, his work has been published in prestigious journals and conference proceedings, garnering citations and recognition within the scientific community.

Accolades and Recognition

Lin's contributions have not gone unnoticed, as evidenced by his publications in renowned journals and his citation impact. His research has been acknowledged for its innovation and relevance, earning him accolades within his field.

Impact and Influence

Through his interdisciplinary work, Lin has left a significant impact on the fields of computer science, engineering, and applied mathematics. His contributions have advanced methodologies in image analysis, system modeling, and optimization techniques, shaping the trajectory of research in these domains.

Legacy and Future Contributions

Lin's legacy lies in his multidisciplinary approach to problem-solving and his dedication to advancing knowledge at the intersection of computer science and engineering. As he continues his academic journey, his future contributions are poised to further enrich our understanding of complex systems and drive innovation in computational methods.

Citations

A total of 1715 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1715
  • h-index            21
  • i10-index         36

Notable Publications 

Classification of the tree for aerial image using a deep convolution neural network and visual feature clustering

CH Lin, CC Yu, TY Wang, TY Chen
The Journal of Supercomputing
Multi-scale features fusion convolutional neural networks for Rice leaf disease identification

CL Wang, MW Li, YK Chan, SS Yu, JH Ou, CY Chen, MH Lee, CH Lin
J. Imag. Sci. Technol
Automatic object detection and direction prediction of unmanned vessels based on multiple convolutional neural network technology

CH Lin, XC Wang
International Journal of Pattern Recognition and Artificial Intelligence
Intelligent image analysis recognizes important orchid viral diseases

CF Tsai, CH Huang, YK Chan, FJ Jan
Frontiers in Plant Science
Identifying the occlusion of left subclavian artery with stent based on chest MRI images

YK Chan, YC Lin, WJ Wang, WT Hu, CH Lin, SS Yu
Multimedia Tools and Applications
Left ventricular hypertrophy detection using electrocardiographic signal

CW Liu, FH Wu, YL Hu, RH Pan, CH Lin, YF Chen, GS Tseng, YK Chan, ...
Scientific Reports
Dog nose-print recognition based on the shape and spatial features of scales

YK Chan, CH Lin, YR Ben, CL Wang, SC Yang, MH Tsai, SS Yu
Expert Systems with Applications