Gyuho Choi | Artificial Intelligence | Best Researcher Award

Prof Dr. Gyuho Choi | Artificial Intelligence | Best Researcher Award

Assistant Professor, Chosun University, South Korea

Gyuho Choi is an accomplished researcher and academic specializing in artificial intelligence and biometrics. He has held various prestigious positions in renowned Korean universities, contributing significantly to the fields of AI and computer engineering. His dedication and innovative work have garnered him multiple accolades and a strong reputation in the scientific community.

Profile

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Education πŸŽ“

Gyuho Choi’s educational journey began with a Bachelor’s degree in Electronics Engineering from Chosun University (2008-2015). He continued at the same institution for an integrated M.S.-Ph.D. program in Control and Instrumentation Engineering, which he completed in February 2021. His academic path further included post-doctoral research at Chosun University and research professor positions at Yonsei University and Gachon University. Since March 2023, he has been serving as an Assistant Professor in the Department of Artificial Intelligence Engineering at Chosun University.

Experience πŸ’Ό

Gyuho Choi has extensive experience in academia and research. He began as a post-doctoral researcher at Chosun University’s IT Research Institute (2021-2022) and then served as a Research Professor at Yonsei University’s Barun ICT Research Center (2022) and Gachon University’s Department of Computer Engineering (2022-2023). Currently, he is an Assistant Professor at Chosun University, where he continues to explore advanced topics in artificial intelligence and biometrics.

Research Interests πŸ”¬

Gyuho Choi’s research interests lie at the intersection of artificial intelligence, biometrics, and signal processing. He focuses on developing advanced user identification systems using biometric signals such as ECG and EMG, contributing to the fields of intelligent vehicles and secure authentication systems.

Awards πŸ†

Gyuho Choi’s innovative research has been recognized with several prestigious awards. He received the Best Paper Award at the Korea Multimedia Society Spring Conference in 2016 and the Korean Institute of Smart Media Spring Conference in 2018. Additionally, he was honored with the Best Researcher Award at the 7th Edition of Global Research Awards on Artificial Intelligence and Robotics in May 2023.

Publications Top Notes πŸ“š

Refereed Journal Papers (SCI / SCIE Indexed)

Choi, G. H., et al. (2019). User authentication system based on baseline-corrected ECG for biometrics. Intelligent Automation and Soft Computing, 25(1), 193-204. Link – Cited by: 12 articles

Choi, G. H., et al. (2019). User identification system using 2D resized spectrogram features of ECG. IEEE Access, 7, 34862-34873. Link – Cited by: 15 articles

Choi, G. H., et al. (2020). ECG-based human identification system by temporal-amplitude combined feature vectors. IEEE Access, 8, 42217-42230. Link – Cited by: 8 articles

Choi, G. H., et al. (2020). Recognition system using fusion normalization based on morphological features of post-exercise ECG for intelligent biometrics. Sensors, 20(24), 1-16. Link – Cited by: 5 articles

Choi, G. H., et al. (2020). Driver identification system using normalized electrocardiogram based on adaptive threshold filter for intelligent vehicles. Sensors, 21(1), 1-17. Link – Cited by: 7 articles

Choi, G. H., et al. (2022). Identification system based on resolution adjusted 2D spectrogram of driver’s ECG for intelligent vehicles. Mobile Information Systems, 2022, 1-13. Link – Cited by: 4 articles

Esmael Ahmed | Machine Learning | Best Researcher Award

Mr. Esmael Ahmed | Machine Learning | Best Researcher Award

Researcher and Lecturer, Wollo University, Ethiopia

Esmael Ahmed Abdu is a dedicated educator and researcher from Kombolcha, Ethiopia. With a passion for computer science and artificial intelligence, he has contributed significantly to academia through teaching, research, and publication. Esmael’s journey in academia has been marked by a commitment to excellence and a pursuit of knowledge in the field of information technology.

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Education πŸŽ“πŸ’‘

Esmael holds a Master’s degree in Computer Science with Very Great Distinction from the University of Gondar, Ethiopia. His academic journey equipped him with skills in machine learning, natural language processing, data analysis, and advanced distributed systems. He also holds a Bachelor’s degree in Information Science with Very Great Distinction from the same institution.

Experience πŸ’ΌπŸ‘¨β€πŸ«

With extensive experience as a lecturer at both Kombolcha Institute of Technology and the University of Gondar, Esmael has taught a range of courses in computer science, including system analysis, data structure, programming, and human-computer interaction. He has mentored graduate students in their final projects and conducted research in machine learning, contributing to international scientific journals.

Research Interests πŸŒπŸ”

Esmael’s research interests lie in machine learning, artificial intelligence, and data analysis. He is particularly interested in applying AI techniques to solve real-world problems, as evidenced by his publications on student performance prediction and maize disease detection using machine learning algorithms. His work demonstrates a commitment to advancing the field of computer science through innovative research.

Awards πŸ†πŸŒ

Esmael’s dedication to academia and research has been recognized through various achievements, including his publications in reputable journals such as Applied Computational Intelligence and Soft Computing and the International Journal of Scientific Research in Computer Science, Engineering, and Information Technology. His contributions to the field have earned him accolades and respect from his peers in the academic community.

Publications Top Notes

Book Recommendation system using collaborative filtering

Published on Applied Computational Intelligence and Soft Computing, 2023

Link

Student Performance Prediction Using Machine Learning Algorithms

Published on Applied Computational Intelligence and Soft Computing, 2024

Link

Maize Disease Detection using Color Co-occurrence Features

Published in International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Link