Zihang Li – Pile foundation – Best Researcher Award

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Zihang Li - Pile foundation - Best Researcher Award

Wuhan University of Technology - China

AUTHOR PROFILE

ORCID

ZIHANG LI: MARINE GEOTECHNICAL ENGINEER 🌊

Zihang Li is a dedicated researcher in the field of marine geotechnical engineering, having recently completed his MEng degree in Civil and Hydraulic Engineering at Wuhan University of Technology in 2024. His current research focuses on the modeling and simulation of marine geotechnical systems, with particular emphasis on the calculation of pile foundation bearing capacity and saturated soil seepage. Zihang is passionate about advancing knowledge in this essential area of civil engineering, aiming to contribute innovative solutions to industry challenges.

EDUCATION JOURNEY 🎓

Zihang's academic journey began at Chongqing University of Science and Technology, where he earned his Bachelor’s Degree in Architectural Engineering in 2021. This foundation in engineering principles provided him with critical skills and knowledge that he has built upon during his master’s studies. His educational experiences have equipped him with a solid grounding in both theoretical and practical aspects of civil engineering.

RESEARCH INTERESTS 🔍

At Wuhan University of Technology, Zihang’s research interests have developed into a focused exploration of marine geotechnical engineering. He is particularly interested in the complexities of pile foundation design and the behavior of saturated soils under various conditions. His work aims to enhance the understanding of these systems, providing valuable insights for future construction and engineering projects in marine environments.

PUBLICATIONS AND CONTRIBUTIONS 📝

Zihang recently published a journal article titled "Performance Analysis of Pile Group Installation in Saturated Clay," showcasing his research findings and contributing to the body of knowledge in his field. This publication highlights his ability to conduct significant research and disseminate findings that can aid in both academic and practical applications. His work emphasizes the importance of rigorous analysis in marine geotechnical engineering.

PROFESSIONAL ASPIRATIONS 🚀

Looking ahead, Zihang is eager to further his research career and contribute to advancements in marine geotechnical engineering. He aspires to collaborate with industry professionals and researchers to develop innovative techniques that enhance the design and implementation of marine structures. His goal is to make a meaningful impact on the field through his research and practical applications.

LIFELONG LEARNER 📖

Zihang embodies the spirit of a lifelong learner, consistently seeking opportunities to expand his knowledge and skills. He recognizes the dynamic nature of engineering and the importance of staying updated with the latest advancements and technologies. This commitment to continuous improvement drives him to engage with new ideas and methodologies, ensuring that he remains at the forefront of his field.

COMMITMENT TO INNOVATION 💡

In his pursuit of excellence, Zihang is committed to finding innovative solutions to complex engineering problems. He believes that creativity and analytical thinking are essential in addressing the challenges faced in marine geotechnical engineering. By fostering an innovative mindset, Zihang aims to contribute significantly to the advancement of engineering practices and the sustainable development of marine infrastructure.

NOTABLE PUBLICATION

Title: Performance Analysis of Pile Group Installation in Saturated Clay
Authors: Wenlin Xiong, Zihang Li, Dan Hu, Fen Li
Journal: Applied Sciences
Year: 2024

Clement Asare – Data and Predictive analytics – Excellence in Research

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Clement Asare - Data and Predictive analytics - Excellence in Research

Kwame Nkrumah University of Science and Technology - Ghana

AUTHOR PROFILE

SCOPUS

CLEMENT ASARE: MACHINE LEARNING ENTHUSIAST 📊

Clement Asare is a dedicated statistical machine learning enthusiast, passionate about utilizing advanced statistical, actuarial, and machine learning techniques to tackle complex real-world challenges. With a solid foundation in actuarial science, he seeks opportunities to collaborate with academics worldwide, enhancing his skills and knowledge in statistical machine learning applications across diverse sectors.

EDUCATION BACKGROUND 🎓

Clement earned his Bachelor of Science in Actuarial Science from Kwame Nkrumah University of Science and Technology (KNUST) in Kumasi, Ghana, graduating with First-Class honors. This rigorous program equipped him with strong analytical and quantitative skills, laying the groundwork for his future endeavors in statistical and machine learning domains. His academic achievements reflect his commitment to excellence in the field.

PROFICIENCY IN PROGRAMMING 💻

Clement is proficient in several programming languages, including Python, R, and MATLAB, which he utilizes to implement machine learning algorithms and statistical analyses effectively. His programming skills enable him to develop robust models and analyze data efficiently, making him a valuable asset in research and applied settings. This technical expertise supports his goal of solving real-world problems through data-driven insights.

COLLABORATIVE SPIRIT 🌍

Clement actively seeks collaborative opportunities with academic professionals and researchers around the globe. He values the exchange of ideas and knowledge that comes from working with others, believing it enhances understanding and innovation in the field of statistical machine learning. His eagerness to learn from others drives his ambition and growth as a statistician.

PASSION FOR PROBLEM-SOLVING 🔍

At the core of Clement’s pursuits is a passion for solving complex problems. He is motivated by the challenges that arise in various sectors, including finance, healthcare, and technology. By applying his expertise in statistical techniques and machine learning, he aims to develop effective solutions that can significantly impact these fields.

FUTURE ASPIRATIONS 🚀

Looking ahead, Clement is determined to expand his knowledge and skills further, aiming for a career that blends academic research with practical applications of machine learning. His goal is to contribute to innovative projects that harness the power of data for better decision-making and enhanced outcomes in society. Clement is excited about the future and the possibilities that lie ahead in his professional journey.

LIFELONG LEARNER 📖

Clement embodies the spirit of a lifelong learner, continually seeking new knowledge and experiences. He believes that staying current with the latest advancements in machine learning and statistics is crucial for personal and professional growth. His dedication to continuous improvement drives him to explore new challenges and opportunities that further his expertise in the field.

NOTABLE PULICATION

Title: Predictive Analysis on the Factors Associated with Birth Outcomes: A Machine Learning Perspective
Authors: Adebanji, A.O., Asare, C., Gyamerah, S.A.
Journal: International Journal of Medical Informatics
Year: 2024

Title: Assessing the Impact of Climate Variability on Maize Yields in the Different Regions of Ghana — A Machine Learning Perspective
Authors: Gyamerah, S.A., Asare, C., Agbi-Kaeser, H.O., Baffour-Ata, F.
Journal: PLoS ONE
Year: 2024

Title: The Impacts of Global Economic Policy Uncertainty on Green Bond Returns: A Systematic Literature Review
Authors: Gyamerah, S.A., Asare, C.
Journal: Heliyon
Year: 2024

Title: A Critical Review of the Impact of Uncertainties on Green Bonds
Authors: Gyamerah, S.A., Asare, C.
Journal: Green Finance
Year: 2024

Title: Asymmetric Impact of Heterogeneous Uncertainties on the Green Bond Market
Authors: Gyamerah, S.A., Agbi-Kaiser, H.O., Asare, C., Dzupire, N.
Journal: Discrete Dynamics in Nature and Society
Year: 2024

Dalhatu Muhammed – Computer Science – Best Researcher Award

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Dalhatu Muhammed - Computer Science - Best Researcher Award

Institut Supérieur D’electronique De Paris - France

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS

Dalhatu Muhammed embarked on his educational journey at Adamu Suleman Ninzamiyya Primary School Aliero from 1993 to 1999, where he obtained his Primary Certificate. He then attended Haliru Abdu Arabic Secondary School Jega (1999-2002), earning his Junior Leaving Certificate. Muhammed continued his secondary education at Government Technical College Bunza (2002-2005) and obtained his Secondary School Certificate (NABTEB) in 2005. Following this, he attended Usmanu Danfodiyo University, School of Matriculation in Sokoto in 2006 before enrolling in Usmanu Danfodiyo University Sokoto, Nigeria, where he earned a BSc in Computer Science (Second Class Upper Division) in 2011.

Muhammed's pursuit of higher education took him to the University of Malaya, Malaysia, where he specialized in Sensor Networks and completed an MSc in Computer Science in 2017. Currently, he is undertaking a PhD in Computer Science with a specialization in AIoT for Smart Agriculture at Sorbonne University Paris, France (2022 to date).

PROFESSIONAL ENDEAVORS

Muhammed's professional career is marked by significant contributions to the field of Computer Science, particularly in academia and technical instruction. His career began with the National Youth Service Corps (NYSC) in 2011-2012, followed by a teaching position at Raudatus Sunnah Academy Jega (2010-2011). He then joined Kebbi State University of Science and Technology Aliero (KSUSTA) as a System Analyst/Higher Technical Officer (2012-2014) and subsequently progressed through various academic positions: Graduate Assistant (2014-2017), Assistant Lecturer (2017-2019), Lecturer II (2019-2022), and currently, Lecturer I (2022-date). Additionally, he has served as a part-time lecturer at the School of Remedial Studies, KSUSTA (2017-2018) and as a CCNA Instructor at KSUSTA Networking Academy (2015-date).

CONTRIBUTIONS AND RESEARCH FOCUS

Throughout his career, Muhammed has been actively involved in numerous committees and responsibilities, including roles such as Departmental Examination Officer, Secretary of the Departmental Course Allocation Committee, and Chairman of the Departmental Committee on Accreditation Staff Grouping. His research focus is centered on the integration of Artificial Intelligence and Internet of Things (AIoT) in Smart Agriculture, which is also the theme of his ongoing PhD.

He has taught a wide array of courses, such as Fundamentals of Computer (CSC 101), Introduction to the Internet (INT 201), Web Technology and Scripting Language (INT 401), and Advanced Java Programming (CSC 408). His dedication to teaching is evident from his extensive involvement in student project supervision, guiding students in projects related to online systems for recruitment, hospital record management, and student attendance management.

IMPACT AND INFLUENCE

Muhammed's impact is also reflected in the numerous workshops and training programs he has attended, including international workshops on pervasive sensing and multimedia understanding, and professional development workshops on HMM-Based Speech Synthesis Systems. His contributions to academic conferences, such as the International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), further highlight his active engagement with the global research community.

ACADEMIC CITATIONS

Muhammed's scholarly work is widely recognized, with citations in various academic publications. His research and teaching in Computer Science have significantly contributed to the academic discourse in his field, particularly in sensor networks and AIoT applications.

LEGACY AND FUTURE CONTRIBUTIONS

Dalhatu Muhammed's legacy in Computer Science is marked by his commitment to education, research, and professional development. His future contributions are expected to further advance the fields of AIoT and smart agriculture, providing innovative solutions to contemporary challenges. His ongoing PhD research at Sorbonne University will likely yield significant advancements in these areas, solidifying his impact and influence in the global academic and professional community.

In summary, Dalhatu Muhammed's journey in Computer Science, marked by academic excellence, professional dedication, and impactful research, continues to inspire and influence the next generation of computer scientists. His ongoing efforts and future contributions promise to leave a lasting legacy in the field.

NOTABLE PUBLICATION

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions 2024

Performance Evaluation of Machine Learning Algorithms for a Cluster-based Crop Recommendation System 2023

A User-friendly AIoT-Based Crop Recommendation system (UACR): concept and architecture 2022 (6)

A Cross-Lingual Text-To-Speech System for Hausa using DNN-Based Approach 2020

An Enhanced Scalable Design Approach for Managing Large Scale Variability in Software Product Lines (SPLs) 2020