Mr. Dohyoung Kim | Distributed Computing Methodologies | Best Researcher Award
Gachon University | South Korea
Dohyoung Kim is a dedicated computer scientist pursuing his Master’s in IT Convergence Engineering at Gachon University, Korea. With a strong academic foundation in Computer Engineering and extensive research experience in artificial intelligence (AI), federated learning (FL), and medical informatics, he is recognized for his impactful contributions to fairness and privacy-preserving machine learning. As a research assistant in the Open Convergence Lab, he has co-led national AI projects funded by the Ministry of Science and ICT and other government agencies. Dohyoung’s innovative work is reflected in several SCIE-indexed publications, patents, and technical solutions aimed at mental health, anomaly detection, and medical big data. He has received multiple awards, including the Korean Society of Medical Informatics President’s Award and recognition from the Korean Artificial-Intelligence Convergence Technology Society. His vision is to bridge AI and healthcare through equitable, secure, and practical ML systems for real-world deployment.
Profile
Googlescholar
Education
Mr. Dohyoung Kim has pursued a strong academic foundation in computer and information technologies, beginning with his undergraduate studies in Computer Engineering. He built a robust understanding of core principles such as programming, data structures, algorithms, and software systems. Continuing his educational journey, he completed further undergraduate coursework, solidifying his expertise and enhancing his practical skills in computer systems and networks. Currently, Mr. Kim is advancing his knowledge through a Master of Science program in IT Convergence Engineering at Gachon University, South Korea. His graduate studies focus on the intersection of information technology and multidisciplinary applications, with particular emphasis on artificial intelligence and machine learning. Notably, he has been involved in a specialized research project titled “SSMFed,” which explores the development of a fair federated learning model using SubSyncModel and semi-supervised learning. This educational path reflects his dedication to innovation, technical excellence, and contributions to evolving digital technologies.
Experience
Dohyoung Kim serves as a Research Assistant at the Open Convergence Lab, Gachon University, under Prof. Youngho Lee, where he has participated in five major national AI projects. These initiatives include building digital health platforms, medical big data systems for rare diseases, brain-computer interface (BCI) standardization, and behavior intervention technologies. His contributions span research design, algorithm development, and system integration. He has published multiple first-author papers in journals such as IEEE Access and Expert Systems with Applications, focusing on federated learning and bias mitigation. He has also registered several patents related to mental health monitoring, gamified behavioral interventions, and emotional assessment. In addition to research, Kim has taught numerous courses as a teaching assistant, such as Big Data Analysis, Cloud Programming. His industry collaboration includes anomaly detection with Good Morning Information Tech and mobile app development, demonstrating well-rounded, real-world technical and leadership experience.
Awards and Honors
Dohyoung Kim has received numerous prestigious awards, reflecting his excellence in AI and medical informatics. He earned the President’s Award from the Korean Society of Medical Informatics (KOSMI) for outstanding academic performance and research. He has twice received KOSMI’s Best Research Group Award. His paper on anomaly detection using federated learning won the Excellent Paper Award from the Korean Artificial-Intelligence Convergence Technology Society (KAICTS) , showcasing his early potential in behavioral AI. His academic excellence is further recognized through a series of scholarships from Gachon University, including those for SCI-level publications, departmental distinction, and undergraduate R&D internships. These accolades highlight his consistent contributions to innovation, academic rigor, and the application of ethical AI in healthcare.
Research Focus
Dohyoung Kim’s research centers on Fair and Privacy-Preserving Federated Learning (FL), with strong interests in semi-supervised learning (SSL), multimodal AI, and clinical information extraction. He develops algorithms like ACMFed and HFAD, designed to tackle bias, fairness, and communication efficiency in healthcare and industrial AI environments. His work advances real-world deployment of federated AI for applications such as pneumonia classification, brain disease prediction, mental health monitoring, and anomaly detection. Kim’s research also extends into the fusion of brain-computer interface (BCI) data with AI, exploring emotional psychology, behavioral gamification, and ethical data governance. His commitment to high-impact, reproducible science is reflected in six peer-reviewed journal articles, multiple national projects, and patents. His interdisciplinary approach blends machine learning with cognitive science and clinical informatics, aiming to empower medical decision-making and mental health support systems through trustworthy AI.
Publications
Development of pneumonia patient classification model using fair federated learning
Year: 2023
Citations: 9
Addressing bias and fairness using fair federated learning: A synthetic review
Year: 2024
Citations: 7
AB-XLNet: named entity recognition tool for health information technology standardization
Year: 2022
Citations: 4
ACMFed: Fair semi-supervised federated learning with additional compromise model
Year: 2025
Citations: 2
Conclusion
Dohyoung Kim’s innovative contributions to federated learning and AI fairness, coupled with his scholarly excellence, national-level project leadership, and award-winning research, make him an exemplary nominee for the International Cognitive Scientist Award.