Bedan Khanal | Quantitative Hypotheses | Best Scholar Award

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Mr. Bedan Khanal | Quantitative Hypotheses | Best Scholar Award

Wayne State University, United States

Author Profile

Early Academic Pursuits:

Bedan Khanal embarked on his academic journey with a Bachelor of Technology in Civil Engineering from Jain University, Bangalore, India. During his undergraduate studies, he delved into a comparative study on the structural behavior and effects of thermal treatment on conventional concrete and glass fiber reinforced concrete. This foundational research laid the groundwork for his future endeavors in civil engineering, showcasing his early commitment to exploring innovative solutions within the field.

Professional Endeavors:

Transitioning to the United States for his graduate studies, Khanal pursued a Master of Science in Civil Engineering at Wayne State University (WSU), Detroit. His thesis, titled "Surrogate Measures of Road Safety," underscored his burgeoning interest in transportation engineering, specifically focusing on analyzing traditional risk factors and operating characteristics at signalized intersections. This academic pursuit was complemented by his practical experiences as a Graduate Research Assistant at the Transportation Research Lab (TRL) of WSU, where he actively contributed to transportation research related to highway safety, design, and planning.

Contributions and Research Focus:

Throughout his academic and professional journey, Khanal has consistently demonstrated a keen focus on advancing transportation safety, operations, and designs. His research endeavors have spanned various facets of transportation engineering, from exploring the application of Intelligent Transportation Systems (ITS) in highway safety to investigating the impact of human behavioral factors on crashes at short storage grade crossings. His proposed dissertation, "Novel Approach for Transportation Data Analysis," reflects his interdisciplinary approach, integrating crash data, crash surrogates, and ITS applications to enhance transportation safety and efficiency.

Accolades and Recognition:

Khanal's contributions to the field have garnered significant recognition, exemplified by the awards and scholarships he has received. From securing the MI ITE Student Paper Award to being honored with the Datta Endowment Award and the Graduate Research Symposium second-best poster presentation, his achievements underscore his academic excellence and research prowess. Additionally, his active participation in conferences, poster presentations, and professional meetings, such as the ITE Annual Meeting and the TRB Annual Meeting, highlights his commitment to scholarly engagement and knowledge dissemination within the transportation community.

Impact and Influence:

As a dedicated researcher and academician, Khanal's work has the potential to make a tangible impact on transportation systems and infrastructure. By leveraging his expertise in spatial analytical software, analytics tools, and engineering design software, he is equipped to address complex challenges in highway safety and transportation planning. Moreover, his leadership roles in student organizations and his involvement in mentoring and guiding fellow students exemplify his commitment to fostering a culture of learning and collaboration within the academic community.

Legacy and Future Contributions:

Looking ahead, Khanal's legacy lies in his unwavering dedication to advancing the frontiers of transportation engineering. As he continues his doctoral studies and prepares to graduate in 2024, his research endeavors are poised to leave a lasting imprint on the field. Whether through innovative data analysis techniques, interdisciplinary research collaborations, or advocacy for sustainable transportation solutions, Khanal's future contributions are bound to shape the trajectory of transportation engineering and pave the way for safer, more efficient transportation systems.

Shaise John | Structural Engineering | Best Researcher Award

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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

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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