Yunyoung Nam | Computer Science | Best Researcher Award

Prof. Yunyoung Nam | Computer Science | Best Researcher Award

Soonchunhyang University | South Korea

Author Profile

Scopus

Early Academic Pursuits

Prof. Yunyoung Nam began his academic journey with a focus on Information and Communication. He achieved significant recognition early in his career, earning the Presidential Award for Excellence in Graduate School of Information and Communication in both 2003 and 2007. He also received the Dasan Fellowship from Ajou University in 2000, demonstrating his potential and commitment to his field from the start.

Professional Endeavors

Prof. Nam's professional career is marked by a series of progressive roles in academia and research. He served as a Senior Researcher at the Ubiquitous Convergence Research Institution from 2007 to 2010, followed by multiple postdoctoral positions at Stony Brook University-SUNY and Worcester Polytechnic Institute. He transitioned to academia as a Research Assistant Professor at Ajou University before joining Soonchunhyang University, where he has held positions as Assistant Professor, Associate Professor, and currently, Professor since 2023.

Contributions and Research Focus

Prof. Nam's research interests span a wide range of cutting-edge topics, including multimedia information retrieval, digital signal processing, machine learning methods for multimedia applications, and biomedical engineering. His contributions to these fields are substantial, with notable projects such as the development of a 3D deep-learning-based diagnosis platform for retinal disease, and a smartphone-based diagnosis and referral platform for chronic diseases. His research has been supported by prestigious organizations, including the National Research Foundation (NRF) and the Ministry of Science, ICT, and Future Planning (MSIP).

Accolades and Recognition

Throughout his career, Prof. Nam has been recognized for his exceptional contributions to research and academia. He has received the Presidential Award for Best Researcher at Soonchunhyang University three times (2015, 2018, 2020), highlighting his sustained excellence in research. Additionally, he was included in the 2011 edition of Who's Who in America, further acknowledging his influence and impact in his field.

Impact and Influence

Prof. Nam's impact extends beyond his research contributions. As an educator, he has taught a wide range of courses at Soonchunhyang University, including C#, AI, algorithms, data structure, discrete mathematics, and software engineering. His commitment to teaching and mentorship has influenced many students and upcoming researchers. Moreover, his membership in several professional associations such as IEEE and the Korea Information Processing Society, and his editorial roles in various journals, underscore his active involvement in the academic community.

Legacy and Future Contributions

Prof. Nam's legacy is defined by his relentless pursuit of knowledge and innovation in multimedia applications and biomedical engineering. His research projects, such as the RNA Innovation Human Resources Project for the Hyper-connected Convergence Industry, and the training of experts for the intelligent home care industry, are paving the way for future advancements. As he continues to lead and innovate, Prof. Nam's future contributions are expected to significantly influence both academic research and practical applications in his areas of expertise.

 

Notable Publications

Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning 2024

Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets 2024

Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network 2024 (5)

A gamified cognitive behavioral therapy for Arabs to reduce symptoms of depression and anxiety: A case study research 2024

Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model 2024

 

 

 

Yang Liu | Computer Science | Best Researcher Award

Prof. Yang Liu | Computer Science | Best Researcher Award

Henan University of Technology | China

Author Profile

Orcid

Early Academic Pursuits

Prof. Yang Liu was born in November 1978. She pursued her academic journey in the field of Computer Science, culminating in a Ph.D. from the School of Computer Science at Northwestern Polytechnical University (NWTU) between September 2003 and November 2007. Her early academic career set a strong foundation for her expertise in distributed computing and blockchain technology.

Professional Endeavors

After earning her Ph.D., Prof. Liu began her professional career as an Assistant Researcher at the Shenzhen Institutes of Advanced Technology, part of the China Academy of Sciences, from November 2007 to February 2009. Since March 2009, she has been a Professor at the College of Information Science and Engineering, Henan University of Technology (HAUT). Her professional journey has been marked by significant contributions to academia and research, particularly in the realms of distributed computing and blockchain.

Contributions and Research Focus

Prof. Liu's research interests are deeply rooted in distributed computing and blockchain technology, focusing on developing secure and efficient consensus mechanisms in blockchain systems, implementing blockchain-based solutions for food traceability and circulation, and researching adaptive resource scheduling and allocation mechanisms in cloud environments. Her contributions extend to developing distributed computing technologies tailored for big data domains. Prof. Liu's work has been instrumental in advancing the practical application and theoretical understanding of these technologies, significantly impacting various real-world scenarios.

Accolades and Recognition

Prof. Liu has garnered numerous awards and honors, underscoring her substantial contributions to science and technology. These include being appointed Chief Science Expert of Henan Province in 2023, receiving the New Century Excellent Talents award from the Ministry of Education of China in 2012, and leading an Innovative Research Team in Science and Technology at the University of Henan Province in 2017. Her achievements also encompass the Prize of Scientific and Technological Achievements of Henan Province in 2013, along with the Henan Province Award for Outstanding Publications in Natural Science in 2011. These accolades affirm Prof. Liu's impactful role in advancing research and innovation, particularly within Henan Province and across China.

Impact and Influence

Prof. Liu's influence extends beyond her research into pivotal roles within various organizations. She serves as a Technical Committee Member for Systems Software and Blockchain at the China Computer Federation (CCF), highlighting her expertise in these critical fields. Additionally, as Deputy Director of the Academic Committee at the Henan Blockchain Technology Research Association and a member of the Experts Committee at the Zhengzhou Information Promote Association, she plays a significant role in shaping the future of computing and blockchain technology. Her leadership and contributions in these positions underscore her commitment to advancing these domains, both locally and on a broader scale.

Legacy and Future Contributions

Prof. Liu has authored numerous publications that have contributed to the body of knowledge in her field. Some notable works include research on consensus algorithms, cloud computing resource management, and energy-efficient communication in wireless sensor networks. Her ongoing research and future contributions are expected to further advance the fields of distributed computing and blockchain, influencing both academic research and practical applications.

 

Notable Publications

TortoiseBFT: An asynchronous consensus algorithm for IoT system 2024

Towards secure and efficient integration of blockchain and 6G networks 2024

A Pipeline-based Chain Structure Byzantine Consensus Algorithm for Blockchain Systems 2023

SoK: Research status and challenges of blockchain smart contracts 2023

MoryFabric: Reducing Transaction Abort by Actual Validity Verification and Reordering 2023