Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung Guzmán Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

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Recommendation for Anthony Kyung Guzmán Leguel for the Best Researcher Award

Anthony Kyung Guzmán Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Master’s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelor’s studies at ITESO.

🎓  Education 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

💼  Experience 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

🏅Awards and Honors 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

🌍 Research Focus 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

📖 Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach

Dr. Xiang Gong | Communication Network Protocols | Best Researcher Award

Dr. Xiang Gong | Communication Network Protocols | Best Researcher Award

Dr. Xiang Gong, Gansu University of Political Science and Law, China

Xiang Gong is a dedicated lecturer at Gansu University of Political Science and Law in Lanzhou, China. He holds a Ph.D. in Manufacturing Information Systems from Lanzhou University of Technology. His research focuses on the Industrial Internet, security protocols, and formal analysis. With a commitment to advancing knowledge in these areas, he is recognized for his contributions to the field and actively participates in various research projects and initiatives.

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Recommendation for Xiang Gong for the Best Researcher Award

Summary of Suitability for Award:

Dr. Xiang Gong is a highly accomplished lecturer at Gansu University of Political Science and Law, specializing in critical areas of research, including the Industrial Internet, security protocols, and formal analysis. With a Ph.D. in Manufacturing Information Systems from Lanzhou University of Technology, Dr. Gong has established a solid academic foundation that is reflected in his substantial contributions to the field.

Education 🎓

Xiang Gong earned his Ph.D. in Manufacturing Information Systems from the School of Computer and Communication at Lanzhou University of Technology. His education has provided a strong foundation in computer science, which he has built upon through extensive research in security protocols and the Industrial Internet. His academic journey reflects a commitment to understanding complex systems and enhancing security measures in technological applications.

Experience 💼

As a lecturer at Gansu University of Political Science and Law, Xiang Gong has cultivated a dynamic learning environment, emphasizing practical applications of his research in security protocols and the Industrial Internet. He has engaged in various projects that bridge theory and practice, including the 2023 Gansu University Research Innovation Project and the 2024 Gansu Province Higher Education Youth Doctoral Support Program. His professional experience combines teaching, research, and collaborative initiatives aimed at advancing knowledge in his fields of interest.

Awards and Honors 🏆

Xiang Gong has received notable recognition for his contributions to the academic community, including the 2023 Gansu University of Political Science and Law Research Innovation Project grant and the 2024 Gansu Province Higher Education Youth Doctoral Support Program. These honors reflect his commitment to advancing research and innovation in security protocols and the Industrial Internet. Additionally, he is actively involved in educational reform projects, contributing to the evolution of teaching methodologies in higher education.

Research Focus 🔍

Xiang Gong’s research primarily revolves around the Industrial Internet, security protocols, and formal analysis. His work aims to develop innovative solutions that enhance security in industrial applications, focusing on lightweight authentication methods and formal modeling. His publications, such as those in the Journal on Communications and Sensors, reflect a strong commitment to improving security measures in IoT and machine-to-machine communication, positioning him as a thought leader in the field.

Publication Tob Notes 📚

Enhancing MQTT-SN Security with a Lightweight PUF-Based Authentication and Encrypted Channel Establishment Scheme
PEASE: A PUF-Based Efficient Authentication and Session Establishment Protocol for Machine-to-Machine Communication in Industrial IoT
Lightweight Anonymous Authentication and Key Agreement Protocol Based on CoAP of Internet of Things

Dr. Ayah Alkhawaldeh | By-products materials | Best Researcher Award

Dr. Ayah Alkhawaldeh | By-products materials | Best Researcher Award

Dr. Ayah Alkhawaldeh, American University of Madaba, Jordan

Dr. Ayah Alkhawaldeh is an Assistant Professor at the American University of Madaba, where she teaches civil engineering courses and is involved in ABET accreditation efforts. She earned her Ph.D. in Civil Engineering/Structures from Jordan University of Science and Technology in 2022, focusing on strengthening heat-damaged reinforced concrete beam-column joints using carbon fiber reinforced polymers. Her M.Sc. in Civil Engineering/Structures from The University of Jordan (2016) investigated the rehabilitation of fire-damaged columns with CFRP. Dr. Alkhawaldeh has also served as a full-time lecturer at Arab University College of Technology and as a part-time lecturer at Al-Ahliyya Amman University. She is a member of the Jordanian Engineers Association and has received several scholarships, including fully funded ones for both her M.Sc. and Ph.D. studies.

Professional Profile🌍

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Suitability for Best Researcher Award:

Given her strong academic record, extensive teaching experience, and impactful research contributions, Ayah Ahmad Faris Alkhawaldeh is a suitable candidate for the Best Researcher Award. Her work on the rehabilitation of heat-damaged reinforced concrete structures using innovative materials and techniques demonstrates a high level of expertise and a commitment to advancing the field of structural engineering. The citations and publications underscore her research’s relevance and influence within the academic and engineering communities.

Education

  • Ph.D. in Civil Engineering/Structures (2022), Jordan University of Science and Technology, GPA: 4.05/4. Dissertation on “Strengthening of Heat-Damaged Reinforced Concrete Beam-Column Joints using Carbon Fiber Reinforced Polymers.”
  • M.Sc. in Civil Engineering/Structures (2016), The University of Jordan, GPA: 3.92/4. Thesis on “Rehabilitation of Fire Damaged Short Reinforced Concrete Columns Externally Confined with Carbon Fiber Reinforced Polymers (CFRP).”

Professional Affiliations

  • Member of the Jordanian Engineers Association (2013-present).

Awards and Scholarships

  • Practice Academic Work License from the Ministry of Higher Education and Scientific Research.
  • Ph.D. fully funded scholarship from Jordan University of Science and Technology.
  • M.Sc. fully funded scholarship from the Scientific Research Support Fund at the Ministry of Higher Education & Scientific Research-Jordan.

Work Experience

  • Assistant Professor, American University of Madaba (2022-present), teaching various civil engineering courses and working on ABET accreditation.
  • Full-time Lecturer, Arab University College of Technology (2023-2024), teaching structural analysis and design courses.
  • Part-Time Lecturer, Al-Ahliyya Amman University (2021-2022), teaching reinforced concrete design and steel structures.

Publication Top Notes:

  • Title: Numerical simulation of the influence of bond strength degradation on the behavior of reinforced concrete beam-column joints externally strengthened with FRP sheets
    • Cited by: 39
    • Year: 2021
  • Title: Behavior of heated damaged reinforced concrete beam-column joints strengthened with FRP
    • Cited by: 28
    • Year: 2021
  • Title: Life cycle assessment of the sustainability of alkali-activated binders
    • Cited by: 23
    • Year: 2023
  • Title: Upgrading cyclic response of heat-damaged RC beam-column joints using CFRP sheets
    • Cited by: 12
    • Year: 2022
  • Title: Effectiveness of Externally Bonded and Near Surface–Mounted CFRP Reinforcement in Flexural Strengthening of RC Beams: Numerical Approach
    • Cited by: 12
    • Year: 2022

 

 

 

Ms. Diana Alhajjeah | Sustainability Award | Best Researcher Award

Ms. Diana Alhajjeah | Sustainability Award | Best Researcher Award

Ms. Diana Alhajjeah, Eastern Mediterranean University, Cyprus

Ms. Diana Alhajjeah, a Ph.D. Candidate in Finance at Eastern Mediterranean University in Cyprus 🎓, holds a Master’s Degree in Financial Management from the Arab Academy for Banking and Financial Sciences in Jordan. She has a rich teaching background, having lectured at King Abdulaziz University in Saudi Arabia, where she taught courses such as Bank Management, Islamic Finance, Corporate Finance, and Real Estate Investment from 2010 to 2019 👩‍🏫. Prior to this, she taught at Hussein Bin Talal University in Jordan and as a Math Teacher in Qatar. Diana is actively involved in research and academic contributions, participating in various committees like the Quality Assurance Committee and the Scientific Research Committee 🔍. She has also held leadership roles, including heading the Finance Department Club and contributing to the Executive Committee for External Learning Programs.

Professional Profile:

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🎓 Education

  • Ph.D. Candidate in Finance
    Eastern Mediterranean University, Famagusta, North Cyprus (October 2019 – present)
  • Master’s Degree in Financial Management
    Arab Academy for Banking and Financial Sciences, Amman, Jordan (2007)

👩‍🏫 Teaching Experience

  • Lecturer
    College of Business, King Abdulaziz University, Rabigh, Saudi Arabia (2010 – 2019)
    Taught a wide range of courses including Bank Management, Islamic Finance, Corporate Finance, and Real Estate Investment.
  • Lecturer
    College of Business and Economics, Hussein Bin Talal University, Ma’an, Jordan (2009 – 2010)
    Courses included Social Security, Islamic Insurance, and Risk Management.
  • Math Teacher
    Wakra Independent School, Doha, Qatar (2007 – 2008)
    Integrated digital tools and e-content software in teaching.

🔍 Research and Academic Contributions

  • Committee Memberships
    Actively participated in various committees such as the Quality Assurance Committee, Scientific Research Committee, and the Academic Accreditation Committee.
  • Leadership Roles
    Served as the head of the Finance Department Club and contributed to the Executive Committee for External Learning Programs.

Publication Top Note:

Firms’ Capital Structure during Crises: Evidence from the United Kingdom

 

 

Dr. Odunayo David Adeniyi | Pedometric Award | Best Researcher Award

Dr. Odunayo David Adeniyi | Pedometric Award | Best Researcher Award

Dr. Odunayo David Adeniyi, European Space Agency, Italy

🌍 Dr. Odunayo David Adeniyi, a Nigerian national, is a highly accomplished researcher specializing in Earth and Environmental Sciences. With a Doctor of Philosophy degree from the University of Pavia, Italy, and a Master of Science from the University of Debrecen, Hungary, he has a solid academic background. Dr. Adeniyi’s expertise encompasses digital soil mapping, machine learning for geospatial modeling, and the application of satellite SAR interferometry for land subsidence analysis. He has contributed significantly to the field through his integrated approach for monitoring soil moisture content in Nigeria and his work on machine learning models for digital soil mapping. With a rich educational journey and extensive research experience, Dr. Adeniyi is a driving force in advancing environmental science methodologies.

Professional Profile:

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👨‍🎓 Education & Training:

Dr. Odunayo David Adeniyi, a Nigerian national, holds a Doctor of Philosophy degree in Earth and Environmental Sciences from the University of Pavia, Italy. He also earned a Master of Science degree in Agricultural Environmental Management Engineering from the University of Debrecen, Hungary, with a thesis focused on wheat yield forecasting using Landsat vegetation indices. His Bachelor of Engineering was obtained from the Federal University of Technology, Akure.

👨‍💼 Work Experience:

As a doctoral researcher at the University of Pavia, Dr. Adeniyi developed and implemented an integrated approach for monitoring soil moisture content in Nigeria using Earth Observation data. He also served as a visiting researcher at the Friedrich Schiller University Jena, Germany, assessing machine learning models for digital soil mapping. Additionally, he worked as a university research assistant at the Institute of Water and Environmental Management in Hungary, specializing in spatial data analysis.

📚 Research Focus:

Dr. Adeniyi’s research interests lie in advancing digital soil mapping approaches, machine learning for geospatial modeling, and the application of satellite SAR interferometry for land subsidence analysis.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 02 documents indexed in Scopus.
  • 📊 Citations: A total of 30 citations for his publications, reflecting the widespread impact and recognition of Dr. Adeniyi’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 66 📖
    • h-index: 04  📊
    • i10-index: 01 🔍
  • Since 2018:
    • Citations: 66 📖
    • h-index: 04 📊
    • i10-index: 01 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. Wheat yield forecasting for the Tisza River catchment using Landsat 8 NDVI and SAVI time series and reported crop statistics
    • Published in Agronomy in 2021.
    • Cited by 41 articles.
  2. Soil management and conservation: an approach to mitigate and ameliorate soil contamination
    • Published in Soil Contamination-Threats and Sustainable Solutions in 2020.
    • Cited by 7 articles.
  3. Wheat Yield Forecasting Based on Landsat NDVI and SAVI Time Series
    • Published in Preprints in 2020.
    • Cited by 6 articles.
  4. Wheat yield prediction based on MODIS NDVI time series data in the wider region of a cereal processing plant.
    • Published in [Journal Name] in 2019.
    • Cited by 5 articles.
  5. Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy
    • Published in Land in 2023.
    • Cited by 4 articles.