Mr. Jin Woo Jung | Blockchain in Comms | Best Researcher Award

Mr. Jin Woo Jung | Blockchain in Comms | Best Researcher Award

Mr. Jin Woo Jung, Korea University, South Korea

Jin Woo Jung is a seasoned expert in IT and blockchain, with over two decades of experience in mobile content development, blockchain engineering, and knowledge management. Holding a Master of Science from Dan Kook University and currently a doctoral candidate at Korea University, Jung’s career includes roles such as Chief Knowledge Officer at DGM IT and CEO at icom & c in Tunisia. He has been an international professor, contributing to institutions such as Tunis Business School and Korea University. His research centers on blockchain consensus algorithms, advancing energy-efficient solutions in Web3.0.

Professional Profile

Orcid

Suitability for the Best Researcher Award

Jin Woo Jung presents a solid profile as a candidate for the Best Researcher Award based on his academic background, technical expertise, and contributions to blockchain and mobile programming. His current engagement as a researcher in the Intelligence Blockchain Engineering Laboratory at Korea University, with a focus on developing blockchain consensus algorithms, exemplifies his dedication to addressing contemporary challenges in this field. As a doctoral candidate at Korea University and a Certified Information Processing Engineer, he brings a strong academic foundation, coupled with advanced certifications in Oracle Database Administration, Java Programming, and information processing. These qualifications are essential for pioneering research in blockchain and digital technologies, positioning him as a highly skilled and technically proficient candidate.

🎓 Education

Jin Woo Jung earned his MSc in Information Technology from Dan Kook University in 2005. Building on this foundation, he pursued certifications that include Certified Information Processing Engineer (1st Class), SUN Certified Java Programmer, and Oracle Database Administrator for versions 8i & 11g. Additionally, he completed a TESOL Diploma from Robson College in Canada, further enhancing his qualifications. Currently, he is a doctoral candidate at Korea University in Seoul, focusing on blockchain engineering, with aspirations to contribute innovative solutions in this domain.

💼  Experience

Jin Woo Jung has held prominent roles in the IT sector, including Chief Knowledge Officer at DGM IT in Seoul and CEO of icom & c, an IT company based in Tunisia. His expertise extends to developing mobile applications, with significant projects like the Android app for Manouba University. He served as an international professor, teaching mobile programming and blockchain at institutions such as Tunis Business School, Kwangwoon University, and Seoul Women’s University. Presently, he is a researcher at Korea University’s Intelligence Blockchain Engineering Lab, where he focuses on blockchain consensus algorithms for Web3.0.

🏅  Awards and Honors

Throughout his career, Jin Woo Jung has received numerous accolades for his contributions to IT and blockchain. His achievements include presenting the award-winning research “PCV: PoS for Content Validation in Web3.0 Platform” at a notable blockchain conference. He is also recognized for his innovative work on “Proof of Work with Random Selection (PoWR),” an energy-saving consensus algorithm. His contributions in academia have also been celebrated, particularly for his role in international education and mobile app development in Tunisia, which won local acclaim.

🌍 Research Focus

Jin Woo Jung’s research concentrates on developing sustainable and energy-efficient blockchain technologies, primarily focused on consensus algorithms for Web3.0. At Korea University’s Intelligence Blockchain Engineering Laboratory, he explores hybrid algorithms that combine Proof of Work with random selection for reduced energy consumption, catering to the demands of modern decentralized platforms. His work aims to address scalability, security, and energy efficiency, advancing the field of blockchain to support eco-friendly applications in intelligent networks.

📖 Publications Top Notes

Title: Proof of Work with Random Selection (PoWR): An Energy Saving Consensus Algorithm with Proof of Work and the Random Selection Function

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni, Jiangsu Second Normal University, China

Prof.  Ni Yiyang is the Vice Dean of the School of Computer Engineering at Jiangsu Second Normal University. A member of the Communist Party of China, she completed her Ph.D. in Communication and Information Systems at Nanjing University of Posts and Telecommunications in April 2016. Yiyang is recognized for her contributions to intelligent communication and resource allocation in the Internet of Vehicles. With extensive academic involvement, she has also served as a postdoctoral researcher and lecturer, making significant strides in her field through various research projects and publications.

Professional Profile

Google Scholar

Suitability of Prof. Yiyang Ni for the Research for Best Researcher Award

Prof. Yiyang Ni is a distinguished female researcher in the field of communication engineering, whose contributions significantly align with the objectives of the Research for Best Researcher Awards. Her academic background, robust research agenda, and leadership roles position her as an exemplary candidate for this honor.

Education 

Prof. Yiyang Ni’s academic journey began at Nanjing University of Posts and Telecommunications, where she earned her Bachelor’s Degree in Communication Engineering in June 2008. She continued her studies at the same institution, pursuing a Master-Doctoral Program in Communication and Information Systems. Under the mentorship of Advisor Zhang Naitong, she successfully obtained her Ph.D. in April 2016. Her education laid a robust foundation for her future research endeavors, particularly in intelligent communication technologies.

Experience 

Prof. Yiyang Ni has accumulated diverse teaching and research experiences since 2008. She started as a Teaching Assistant at Nanjing University, progressing to Lecturer and Associate Professor roles at Jiangsu Second Normal University from April 2016 to May 2022. Currently, as Vice Dean, she plays a pivotal role in the School of Computer Engineering. Additionally, since January 2019, she has been involved in postdoctoral research, focusing on innovative communication systems and leading several significant research projects in her field.

Awards and Honors 

Prof. Yiyang Ni has received numerous accolades throughout her career, reflecting her exceptional contributions to the field of communication. Notable awards include the Second Prize for her IoT Intelligent Management System at the China Communication Society’s Science and Technology Award (2021) and the First Prize at the Jiangsu Information and Communication Industry Science and Technology Award (2021). Her innovative projects have garnered recognition, including the Second Prize for Key Technologies in Edge Networks from the China Institute of Electronics in 2021.

Research Focus 

Prof. Yiyang Ni’s research interests lie at the intersection of intelligent communication, wireless communication, and resource allocation within the Internet of Vehicles. She leads various ongoing projects aimed at developing cutting-edge communication technologies, including the integration of industrial Internet systems and the study of intelligent wireless communication theories for future networks. Her contributions to terahertz communication and device-to-device technologies are particularly noteworthy, advancing the understanding and application of these crucial areas in modern communication systems.

Publiaction Top Notes

  1. Title: Blockchain for the IoT and industrial IoT: A review
    Citation: 415
  2. Title: Beamforming and interference cancellation for D2D communication underlaying cellular networks
    Citation: 56
  3. Title: Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-Fading
    Citation: 44
  4. Title: Energy efficiency and spectrum efficiency in underlay device-to-device communications enabled cellular networks
    Citation: 40
  5. Title: Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning
    Citation: 31