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

Gajendra Singh Chawda | Soft Synchronization of DFIG into the weak grids | Hypothesis Achievement Award

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Dr. Gajendra Singh Chawda | Soft Synchronization of DFIG into the weak grids | Hypothesis Achievement Award

University of Michigan-Dearborn, United States

Author Profile

Early Academic Pursuits:

Gajendra Singh Chawda's academic journey commenced with a Diploma in Electrical Engineering, followed by a Bachelor's degree from RGPV Bhopal. Subsequently, he pursued a Master's in Power Systems from NIT Kurukshetra. His academic pursuits culminated in a Ph.D. in Electrical Engineering from IIT Jodhpur, where he achieved a CGPA of 7.25/10.

Professional Endeavors:

His professional journey began as a Lecturer at MIT, Mandsaur, before assuming various teaching roles across institutions such as NIT Kurukshetra, GITS Udaipur, AIT Ajmer, and eventually IIT Jodhpur. He transitioned to research roles, notably as a Research Associate at IIT Jodhpur, where he worked on the development of DC Microgrid experimental prototypes. Currently, he serves as a LEO Lecturer and Post-Doc Research Fellow at the University of Michigan, Dearborn, focusing on industrial and government projects in Electrical and Computer Engineering.

Contributions and Research Focus:

He has significantly contributed to research and development in electrical engineering, particularly in power systems, renewable energy integration, and adaptive control algorithms. His doctoral research focused on enhancing wind energy penetration levels in rural grids, resulting in the development of a DSTATCOM controlled by adaptive algorithms. His current projects involve high-frequency distribution systems and Electric Vehicle charging control using machine learning algorithms.

Accolades and Recognition:

His contributions have been recognized through prestigious awards and grants, including the Vishweshwaraya Scholarship for his Ph.D. and travel grants from IEEE-PES and CSIR-India. He received appreciation from the Akshay Urja, Government of India, and has delivered expert lectures in various academic forums.

Impact and Influence:

His research publications, totaling 7 SCI journal articles, reflect his significant impact on the field. His work has been cited over 450 times, indicating its influence within the scientific community. Additionally, his involvement in collaborative activities and conference presentations further extends his reach and influence.

Legacy and Future Contributions:

As Chawda continues his academic and research journey, his legacy lies in his commitment to pushing the boundaries of knowledge in electrical engineering. His innovative solutions in renewable energy integration and adaptive control algorithms pave the way for a sustainable energy future. He aims to continue fostering academic excellence through teaching, mentoring, and research endeavors, leaving a lasting impact on the field and shaping the next generation of engineering leaders.

Citations

A total of 450  citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         450
  • h-index            10
  • i10-index         11

Notable Publications 

Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration

GS Chawda, AG Shaik, M Shaik, S Padmanaban, JB Holm-Nielsen, ...IEEE Access

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid with Renewable Energy Penetration

GS Chawda, AG Shaik, OP Mahela, S Padmanaban, JB Holm-Nielsen
IEEE ACCESS

Incremental conductance based particle swarm optimization algorithm for global maximum power tracking of solar-PV under nonuniform operating conditions

G Singh Chawda, O Prakash Mahela, N Gupta, M Khosravy, T Senjyu
Applied Sciences

Enhancement of wind energy penetration levels in rural grid using ADALINE-LMS controlled distribution static compensator

GS Chawda, AG Shaik
IEEE Transactions on Sustainable Energy

Performance improvement of weak grid-connected wind energy system using flsrf-controlled dstatcom

GS Chawda, AG Shaik, OP Mahela, S Padmanaban
IEEE Transactions on Industrial Electronics

Enhancement of Wind Energy Penetration Levels In Rural Grid By Power Quality Mitigation Using DSTATCOM Controlled by Adaptive Algorithms

GS Chawda
Indian Institute of Technology Jodhpur

Performance improvement of DFIG-based WECS with non-linear load penetration using additional DSTATCOM

H Kumar, GS Chawda, S Meena, S Shekhar, A PS, P Kumar
21st Wind & Solar Integration Workshop

Precise Voltage Regulation in DC Microgrid using A Novel Non-Linear Sliding Mode Controller

V Jaiswal, GS Chawda, D Fulwani
2022 IEEE International Conference on Power Electronics, Drives and Energy …

Fuzzy logic based Vehicle to Grid Controller for Voltage Regulation in Distribution Network with Solar-PV Penetration

S Shekhar, P Arya, H Kumar, GS Chawda, AG Shaik
2023 IEEE PES Conference on Innovative Smart Grid Technologies-Middle East …

Trolard Fabienne | mineralogy | Best Researcher Award

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Dr. Trolard Fabienne | mineralogy | Best Researcher Award

INRAE , France

Author Profile

Early Academic Pursuits

Born on March 15, 1957, in Mulhouse (Haut-Rhin), Fabienne Trolard has an extensive academic background. She completed her Baccalauréat C in 1977 from the Académie de Strasbourg, followed by various degrees in geosciences, including a Ph.D. from the Université Louis Pasteur de Strasbourg in 1986.

Professional Endeavors

Throughout her career, Trolard has held various esteemed positions. She served as a Research Director at INRA since 2006, and from 1990 to 2005, she held the position of Researcher 1st class at INRA. Trolard's career also includes being a CEE contract researcher at the Université Catholique de Louvain in Belgium from 1986 to 1990 and a Research Grantee at the Center for Sedimentology and Surface Geochemistry (CNRS), Strasbourg, from 1983 to 1986.

Contributions and Research Focus

Her research contributions span a wide array of topics, from soil geochemistry to climate change impacts. Notably, she received the Water 2021 Best Paper Award for her article on water quality indices. Her involvement in projects like the European PRECOS project and her role in various research and expertise contracts demonstrate her commitment to advancing environmental geoengineering.

Accolades and Recognition

She has received numerous honors, including the Gold Medal from the French Academy of Agriculture in 2019. Her recognition by the Biographical Institute of Cambridge in 2007 and 2002, along with the Philips Youth Science Prize in 1977, further attests to her distinguished career.

Impact and Influence

As the Head of the AAF Internal Committee and the facilitator of the HYDRO team at UMR Emmah, Trolard has played a crucial role in shaping research initiatives. Her leadership in the INRA "Soil and Water Geochemistry" Unit and contributions to various research and expertise contracts underscore her impact in the field.

Legacy and Future Contributions

Her legacy is marked by her role in creating and leading research teams, her participation in significant projects, and her dedication to environmental sciences. As she continues to lead and facilitate research initiatives, her future contributions are poised to further enhance our understanding of soil, water, and environmental geochemistry.In summary, Fabienne Trolard's academic journey, professional achievements, and ongoing contributions highlight her as a distinguished figure in the field of environmental geochemistry. Her multifaceted roles, from research director to team animator, underscore her commitment to advancing knowledge in soil and water sciences.

Citations

A total of  5014 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations            5014
  • h-index              33
  • i10-index           58

Notable Publications 

Trolard, F., Duval, S., Nitschke, W., ...Andréani, M.,Bourrié, G.

Fougerite: The not so simple progenitor of the first cells
Duval, S., Baymann, F., Schoepp-Cothenet, B., ...Russell, M.J., Nitschke, W.

Water quality indices: Challenges and application limits in the literature
Kachroud, M., Trolard, F., Kefi, M., Jebari, S., Bourrié, G.

Quantitative estimation of fougerite green rust in soils and sediments by citrate—bicarbonate kinetic extractions
Feder, F., Trolard, F., Bourrié, G., Klingelhöfer, G.