Mr. JeongHun Woo | Network Services | Excellence in Research

Mr. JeongHun Woo | Network Services | Excellence in Research

Mr. JeongHun Woo, Changwon National University, South Korea

Mr. JeongHun Woo is a dedicated researcher specializing in Network Services, Wireless Networks, and Streaming Optimization. He completed his education at Changwon National University, South Korea, and has been actively involved in cutting-edge research projects, particularly in AI-based optimization and predictive analytics. His work on Yard Image AI Recognition for logistics optimization resulted in a technology patent, showcasing his innovative contributions to industrial applications. Additionally, his 2023 first-author publication on adaptive bitrate algorithms and bandwidth prediction has significantly enhanced video streaming quality. His ongoing research on CNC tool replacement cycle prediction highlights his expertise in applying machine learning to industrial automation. With a strong foundation in AI-driven network optimizations and industrial predictive modeling, Mr. Woo continues to push technological boundaries, contributing valuable insights to academia and industry. His research excellence makes him a key player in advancing intelligent network systems. ๐Ÿ“ก๐Ÿ“ถ๐Ÿ”ฌ

๐ŸŒย Professional Profile

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๐Ÿ†ย Suitability for Awardย 

Mr. JeongHun Wooโ€™s outstanding contributions to network optimization, AI-driven prediction models, and wireless communication technologies make him a strong candidate for the Excellence in Research Award. His groundbreaking work in adaptive video streaming algorithms has significantly improved the Quality of Experience (QoE) in streaming services, addressing critical issues in network bandwidth prediction. His Smart Yard AI project, which optimizes industrial logistics through image recognition, showcases his ability to bridge academic research with real-world applications. The issuance of a technology patent from his research further validates the impact of his work. His ongoing research on predictive maintenance for CNC machine tools highlights his versatility in applying AI-driven methodologies to industrial automation and smart manufacturing. His ability to produce innovative, high-impact research across wireless networks, AI, and predictive analytics sets him apart as a leading researcher in his field. ๐Ÿ†๐Ÿ“ก๐Ÿ“Š

๐ŸŽ“ Educationย 

Mr. JeongHun Woo pursued his education at Changwon National University, South Korea, where he developed a strong foundation in Network Services, Wireless Communication, and AI-Driven Optimization. His academic journey equipped him with expertise in machine learning applications, network bandwidth prediction, and industrial AI integration. Throughout his education, he focused on research-driven problem-solving, contributing to the development of streaming optimization algorithms and predictive analytics for industrial automation. His exposure to AI-powered logistics and wireless technologies has positioned him as an emerging expert in intelligent network solutions. His academic background not only fueled his passion for research but also enabled him to lead innovative projects such as AI-based yard logistics optimization and CNC machine tool lifecycle prediction. With a strong interdisciplinary approach, his education has played a crucial role in shaping his research excellence and industry-driven solutions. ๐ŸŽ“๐Ÿ“š๐Ÿ”

๐Ÿ‘จโ€๐Ÿ”ฌย Experience

Mr. JeongHun Woo has been deeply engaged in research projects that integrate AI, wireless communication, and industrial automation. He played a key role in the Smart Yard Industry-Academic Cooperation Project (2022), where he developed an AI-based image recognition system to optimize logistics and process flow in industrial yards. This work led to the successful issuance of a technology patent, reinforcing his contributions to real-world AI applications.

In 2023, he authored a research paper focusing on adaptive bitrate algorithms and bandwidth prediction for enhanced video streaming experiences. His work in network bandwidth prediction using gated recurrent unit models demonstrated his expertise in machine learning-driven optimizations. Currently, he is working on predicting CNC machine tool replacement cycles, leveraging AI for predictive maintenance in smart manufacturing. His diverse experience across network systems, industrial AI applications, and streaming optimizations showcases his strong research acumen and technological impact. ๐Ÿญ๐Ÿ“ก๐Ÿค–

๐Ÿ† Awards and Honorsย 

Mr. JeongHun Woo has been recognized for his pioneering research in wireless networks, AI-driven optimization, and industrial analytics. His Smart Yard AI Recognition project led to the issuance of a technology patent, highlighting the innovative real-world impact of his research. His 2023 first-author publication on adaptive bitrate streaming and bandwidth prediction has been widely acknowledged in the field of wireless networks and multimedia communication.

He has been actively involved in industry-academic collaborative projects, leading groundbreaking research that merges AI with industrial automation. His contributions to predictive analytics for CNC machine tool maintenance have positioned him at the forefront of smart manufacturing and AI-driven optimization. Through his patented technology, high-impact publications, and ongoing research in predictive maintenance, Mr. Woo has demonstrated exceptional excellence in research, making him a deserving candidate for the Research for Excellence in Research Award. ๐Ÿ†๐Ÿ“œ๐Ÿš€

๐Ÿ”ฌย Research Focusย 

Mr. JeongHun Wooโ€™s research revolves around Network Services, Wireless Networks, Streaming Optimization, and AI-driven Industrial Automation. His work is at the intersection of machine learning, predictive analytics, and real-world network applications.

His key research areas include:

โœ… Streaming Optimization: Developing buffer-based adaptive bitrate algorithms to improve the Quality of Experience (QoE) for video streaming.
โœ… AI for Industrial Automation: Leading AI-driven logistics optimization through yard image recognition and predictive maintenance in smart manufacturing.
โœ… Wireless Networks & Bandwidth Prediction: Utilizing deep learning (Gated Recurrent Unit models) for accurate network bandwidth forecasting.
โœ… Predictive Maintenance: Researching CNC machine tool lifecycle prediction to enhance manufacturing efficiency and reduce downtime.

His interdisciplinary approach combining network optimizations, AI, and industrial analytics makes him a key contributor to next-generation intelligent systems. ๐ŸŒ๐Ÿ“ถ๐Ÿ“Š

๐Ÿ“šย Publication Top Notes:

Title: Improving the Quality of Experience of Video Streaming Through a Buffer-Based Adaptive Bitrate Algorithm and Gated Recurrent Unit-Based Network Bandwidth Prediction
Published Year: 2024

 

 

Dr. Asem Tahtamouni | Network Management | Best Researcher Award

Dr. Asem Tahtamouni | Network Management | Best Researcher Award

Dr. Asem Tahtamouni, American University of Madaba, Jordan

Dr. Asem Tahtamouni is an esteemed academic and researcher specializing in financial risk management, banking, and governance. He holds a Ph.D. in Financial Risk Management/Bank Governance from Western Sydney University, where his thesis explored the role of board committees in monitoring the performance of Jordanian listed banks. Dr. Tahtamouni has a strong background in accounting and finance, with a Master of Commerce (Accounting) and a Graduate Certificate in Research Studies from Western Sydney University. He currently serves as an Associate Professor and Head of the International Accounting & Finance Department at the American University of Madaba, Jordan. Dr. Tahtamouni is also an academic trainer for the Master in Humanitarian Assistance and Crisis Management program at the SIT Graduate Institute, USA. His work focuses on financial risk management, banking governance, and network management, contributing significantly to academic research and the development of the finance sector. ๐Ÿ“š๐Ÿ’ผ๐ŸŒ

Professional Profile

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Suitability for Awardย 

Dr. Asem Tahtamouni is highly suitable for the Research for Best Researcher Award due to his extensive academic and professional background in financial risk management, banking governance, and network management. His research contributions, particularly his Ph.D. thesis on the role of board committees in Jordanian banks, have made significant strides in understanding financial governance and risk monitoring in emerging economies. Dr. Tahtamouniโ€™s leadership roles at the American University of Madaba, including heading multiple departments, demonstrate his ability to influence and advance academic programs. His involvement in international workshops and conferences further highlights his commitment to fostering global discussions on financial management and risk. Dr. Tahtamouniโ€™s research and teaching have had a lasting impact on both academic and industry practices in finance, making him a deserving candidate for this prestigious award. ๐Ÿ†๐Ÿ“Š๐ŸŒ

Educationย 

Dr. Asem Tahtamouniโ€™s academic journey reflects his deep commitment to the fields of financial risk management and banking governance. He completed his Ph.D. in Financial Risk Management/Bank Governance at Western Sydney University in 2015, where his research focused on the role of board committees in monitoring the performance of Jordanian listed banks. Prior to this, Dr. Tahtamouni earned a Graduate Certificate in Research Studies from the same institution in 2010, further honing his research skills. He also holds a Master of Commerce (Accounting) from Western Sydney University, which laid the foundation for his expertise in finance and accounting. Dr. Tahtamouniโ€™s solid academic qualifications, combined with his research-driven approach, have enabled him to make valuable contributions to the fields of finance, banking, and risk management, positioning him as a leader in his field. ๐ŸŽ“๐Ÿ“š๐Ÿ’ก

Experienceย 

Dr. Asem Tahtamouni has accumulated over a decade of experience in academia, finance, and teaching. He is currently serving as an Associate Professor and Head of the International Accounting & Finance Department at the American University of Madaba, Jordan, where he has made significant contributions to the development of finance programs. Dr. Tahtamouni has also held leadership roles at AUM, including Head of the Banking and Finance Department and Head of the Accounting Department. His career in academia has been complemented by his experience as an academic trainer for the Master in Humanitarian Assistance and Crisis Management program at the SIT Graduate Institute in the USA. Prior to his academic career, Dr. Tahtamouni worked in sales and marketing at Worktek Pty Ltd in Australia, where he gained valuable industry insights. His diverse experience in both academia and industry enables him to provide a unique perspective on financial risk management and governance. ๐Ÿซ๐Ÿ’ผ๐Ÿ“ˆ

Awards and Honorsย 

Dr. Asem Tahtamouni has received several accolades for his contributions to the fields of finance, banking, and risk management. His research on financial governance and risk management in Jordanian banks has garnered attention and recognition from both academic and professional communities. Dr. Tahtamouniโ€™s leadership roles at the American University of Madaba, where he heads multiple departments, reflect his commitment to advancing higher education in the finance and accounting sectors. Additionally, his participation in prestigious conferences and workshops, such as the Tenth Economic Conference on Digital Economy and Digital Technology and the Higher Diploma in Taxation Workshop, further showcases his dedication to continuous learning and sharing knowledge. Dr. Tahtamouniโ€™s awards and honors highlight his excellence in research, teaching, and leadership, solidifying his reputation as a leading figure in financial risk management and banking governance. ๐Ÿ…๐ŸŒŸ๐ŸŽ–๏ธ

Research Focusย 

Dr. Asem Tahtamouniโ€™s research focuses on financial risk management, banking governance, and network management. His work explores how financial institutions can effectively manage risk and ensure robust governance structures, particularly in emerging economies. His Ph.D. thesis, which examined the role of board committees in monitoring the performance of Jordanian listed banks, remains a cornerstone of his research contributions. Dr. Tahtamouniโ€™s work on network management seeks to understand how financial systems and institutions can optimize their operations and mitigate risk through strategic governance and decision-making processes. His research also extends to the application of these principles in the context of global financial systems, with a particular emphasis on the Middle Eastern banking sector. Dr. Tahtamouniโ€™s interdisciplinary approach integrates finance, governance, and network theory to address the challenges faced by modern financial institutions. ๐Ÿ“Š๐Ÿ’ก๐ŸŒ

Publication Top Notes

  • Title: Factors Affecting the Market Stock Price – The Case of the Insurance Companies Listed in Amman Stock Exchange
    • Cited by: 119
    • Year: 2016
  • Title: Challenges to Healthcare Information Systems Development: The Case of Jordan
    • Cited by: 43
    • Year: 2021
  • Title: E-banking Services and the Satisfaction of Customers in the Jordanian Banks
    • Cited by: 32
    • Year: 2023
  • Title: The Impact of Social Responsibility Disclosure on the Liquidity of the Jordanian Industrial Corporations
    • Cited by: 26
    • Year: 2018
  • Title: Board Diversity and Corporate Performance: The Jordanian Industrial Corporations Case
    • Cited by: 10
    • Year: 2020

 

 

Dr. Chan-Hong Kim | Network Optimizations | Best Researcher Award

Dr. Chan-Hong Kim | Network Optimizations | Best Researcher Award

Dr. Chan-Hong Ki, Korea Mine Rehabilitation and Mineral Resources Corporation, South Korea

Dr. Chan-Hong Kim is an accomplished geotechnical engineer with a distinguished career spanning over two decades. He holds a Ph.D. in Soil Mechanics and Foundation Engineering from Pusan National University, South Korea. Dr. Kim has contributed significantly to the field of geotechnical engineering through his work in both the private and public sectors. His career includes roles as a Geotechnical Engineer at Dong-Ah Geological Engineering Co. Ltd., and leadership positions as Deputy Team Head at Korea Resources Corporation, Korea Mine Rehabilitation and Mineral Resources Corporation, and currently at the Korea Radioactive Waste Agency. With expertise in soil mechanics, foundation engineering, and network optimization, Dr. Kim has made valuable contributions to geotechnical research and the management of mineral and radioactive waste. His extensive experience in geotechnical engineering, coupled with his research focus, positions him as a leading figure in his field. ๐Ÿ—๏ธ๐ŸŒ๐Ÿ”ฌ

Professional Profile

Orcid

Suitability for Awardย 

Dr. Chan-Hong Kim is highly suitable for the Research for Best Researcher Award due to his extensive expertise in soil mechanics, foundation engineering, and network optimization. His career has been marked by his contributions to both practical engineering and cutting-edge research in the geotechnical field. Dr. Kim’s leadership roles in various organizations, including the Korea Radioactive Waste Agency, demonstrate his ability to apply research findings to real-world challenges. His work on geotechnical projects and network optimizations has made a significant impact on the safe management of mineral and radioactive waste, showcasing his commitment to advancing both environmental sustainability and public safety. Dr. Kimโ€™s research not only enhances the understanding of soil mechanics and foundation engineering but also integrates innovative network optimization techniques to address critical engineering challenges. His career and research achievements make him a deserving candidate for this prestigious award. ๐Ÿ…๐ŸŒ๐Ÿ”ง

Educationย 

Dr. Chan-Hong Kim’s educational background reflects his deep commitment to geotechnical engineering. He earned his Bachelor of Arts in Civil Engineering from Pusan National University in 1997, followed by a Master of Arts in Civil Engineering from the same institution in 1999. Dr. Kim further advanced his expertise by completing a Ph.D. in Soil Mechanics and Foundation Engineering at Pusan National University in 2002. His doctoral research focused on soil mechanics, a crucial aspect of civil engineering that influences the design and stability of structures. This academic foundation has provided him with the theoretical and practical knowledge necessary to excel in his field. Dr. Kim’s education has been a cornerstone of his successful career, enabling him to make significant contributions to the geotechnical engineering industry, particularly in the areas of foundation engineering, waste management, and network optimization. ๐ŸŽ“๐Ÿ”๐Ÿ—๏ธ

Experience

Dr. Chan-Hong Kim has an extensive professional career in geotechnical engineering, spanning both the private and public sectors. He began his career in 2002 as a Geotechnical Engineer at Dong-Ah Geological Engineering Co. Ltd., where he contributed to various geotechnical projects, gaining invaluable hands-on experience in soil mechanics and foundation engineering. From 2014 to 2021, Dr. Kim served as Deputy Team Head at Korea Resources Corporation, overseeing projects related to resource management and waste disposal. His expertise was further sought after at the Korea Mine Rehabilitation and Mineral Resources Corporation, where he held a similar leadership role. Since 2023, Dr. Kim has been serving as Deputy Team Head at the Korea Radioactive Waste Agency, where he applies his extensive knowledge of geotechnical engineering and network optimization to the safe disposal of radioactive waste. His experience in managing large-scale projects and addressing environmental challenges makes him a leader in his field. ๐Ÿ› ๏ธ๐ŸŒโš’๏ธ

Awards and Honors

Throughout his distinguished career, Dr. Chan-Hong Kim has received numerous awards and recognitions for his contributions to geotechnical engineering and environmental management. He was honored for his role in advancing the safe management of mineral and radioactive waste, which has had a significant impact on environmental protection. Dr. Kimโ€™s leadership in the geotechnical field has earned him accolades from various organizations, including the Korea Resources Corporation and the Korea Radioactive Waste Agency. His work in network optimization and soil mechanics has been widely recognized for its innovative approach to solving complex engineering challenges. While specific awards and honors may not be listed, Dr. Kim’s leadership and contributions to his field have solidified his reputation as an expert in geotechnical engineering and waste management. His ongoing research and practical applications continue to benefit both the engineering community and society at large. ๐Ÿ†๐ŸŽ–๏ธ๐ŸŒ

Research Focus

Dr. Chan-Hong Kim’s research focuses on the optimization of geotechnical networks, particularly in the context of soil mechanics, foundation engineering, and waste management. His work aims to improve the stability and safety of engineering structures by analyzing soil behavior and the impact of foundation designs. Additionally, Dr. Kim has been actively involved in the optimization of networks related to the safe disposal of mineral and radioactive waste. His research on network optimization techniques plays a crucial role in managing complex systems and ensuring the sustainable and safe disposal of hazardous materials. Dr. Kim’s interdisciplinary approach integrates soil mechanics with cutting-edge optimization methods to address both environmental and engineering challenges. His contributions to the geotechnical field, particularly in waste management and network optimization, have provided innovative solutions that enhance the efficiency and safety of large-scale engineering projects. ๐ŸŒ๐Ÿง‘โ€๐Ÿ”ฌโš™๏ธ

Publication Top Notes

  • Title: Site-Specific Hydrogeological Characterization for Radiological Safety: Integrating Groundwater Dynamics and Transport
    • Date: 2025
  • Title: Soil Classification from Piezocone Penetration Test Using Fuzzy Clustering and Neuro-Fuzzy Theory
    • Date: April 2022

 

 

Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

Dr. Mokhtar Mohamed, Delta university for Science and Technology, Egypt

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, currently serving at Delta University for Science and Technology in Egypt. He holds a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University, with his doctoral research focusing on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling, with interests spanning group methods for solving partial differential equations, hidden symmetries, fluid dynamics, boundary layer problems, and numerical analysis. His personal skills include effective communication, strong teamwork, and a goal-oriented approach, reflecting his commitment to academic excellence and research advancement in engineering sciences.

Professional Profile:

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๐ŸŽ“ Education:

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, holding a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University. His doctoral research focused on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling and his contributions to the field of engineering sciences.

๐Ÿ‘จโ€๐Ÿซ Teaching Topics:

Expertise in Algebra, Analytic Geometry, Differential and Integral Calculus, Numerical Methods, Solution of Ordinary and Partial Differential Equations, Complex Analysis, Special Functions, Laplace Transform, Fourier Transform, Sequences, Infinite Series, Multiple Integrals, Statistics and Probability, Mechanics (Static and Dynamic courses).

๐Ÿ”ฌ Interests:

Research interests include group methods for solving partial differential equations, hidden symmetries of differential equations, fluid dynamics, boundary layer problems, and numerical analysis of nanobeam problems using DQM.

๐ŸŒŸ Personal Skills:

Known for good communication skills, adept at both independent work and teamwork, quick learner, goal-oriented, highly productive, and efficient worker.

Publication Top Notes: