Hyeryung Jang | Machine Learning | Best Researcher Award

Posted on by sciencefather

Assist. Prof. Dr Hyeryung Jang | Machine Learning | Best Researcher Award

Assistant Professor, Dongguk University, South Korea 🧑‍🏫

Hyeryung Jang is an Assistant Professor at the Division of AI Software Convergence at Dongguk University, Seoul, South Korea. His research interests lie at the intersection of communication systems, probabilistic graphical models, and networked machine learning. He has contributed significantly to the development of algorithms for large-scale communication networks, with applications in healthcare, manufacturing, and beyond. He has held academic and research positions at prestigious institutions, including King’s College London and KAIST.

Profile

Google Scholar

🎓 Education

Hyeryung Jang earned his Ph.D. in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), South Korea, from March 2012 to February 2017. His doctoral thesis, titled Optimization and Learning of Graphical Models: A Stochastic Approximation Approach, was supervised by Prof. Yung Yi and co-advised by Prof. Jinwoo Shin. He also holds a Master’s degree in Electrical Engineering from KAIST, completed between March 2010 and February 2012, with a thesis on the Economic Benefits of ISP-CDN and ISP-ISP Cooperation, under the guidance of Prof. Yung Yi. Hyeryung Jang completed his Bachelor’s degree in Electrical Engineering at KAIST in February 2010.

💼 Experience

Hyeryung Jang currently serves as an Assistant Professor in the Division of AI Software Convergence at Dongguk University, where he has been leading the Intelligence and Optimization in Networks (ION) lab since March 2021. Before this, he was a Research Associate at King’s College London, in the Centre for Telecommunications Research, Department of Engineering, from March 2018 to February 2021. His post-doctoral research was conducted at KAIST from March 2017 to February 2018. Hyeryung also gained valuable experience as a Research Intern at Los Alamos National Laboratory in the USA during the summer of 2015.

🔬 Research Interests

Hyeryung Jang’s research interests are centered on mathematical modeling and communication systems, with a particular emphasis on networked machine learning. He explores innovative learning algorithms for probabilistic graphical models, deep learning, and reinforcement learning. His work aims to improve the stability and representation quality of generative models such as GANs, VAEs, and diffusion models. Jang is also focused on the learning and inference of graphical models, specifically for applications like robust recommendation systems and communication-efficient algorithms. Moreover, his research delves into efficient learning methods to address noisy data and real-world challenges in fields like healthcare, highlighting his broad interdisciplinary approach to solving complex problems in communication networks.

🏆 Awards

Hyeryung Jang has received recognition for his groundbreaking work in networked machine learning, contributing to innovative applications in healthcare and telecommunications. His research has been published in top-tier journals such as IEEE Transactions on Communications, IEEE Transactions on Neural Networks and Learning Systems, and Journal of Medical Internet Research (JMIR).

📚 Publications Top Notes

LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks with Graph Contrastive Learning, IEEE Access, Dec. 2023.

In-Home Smartphone-based Prediction of Obstructive Sleep Apnea in Conjunction with Level 2 Home Polysomnography, JAMA Otolaryngology-Head & Neck Surgery, Nov. 2023.

Prediction of Sleep Stages via Deep Learning using Smartphone Audio Recordings in Home Environments, Journal of Medical Internet Research, June 2023.

Real-time Detection of Sleep Apnea based on Breathing Sounds and Prediction Reinforcement using Home Noises, Journal of Medical Internet Research, Feb. 2023.

Conclusion

Given his strong academic credentials, innovative contributions, and high-impact research, Hyeryung Jang is undoubtedly a strong contender for the Best Researcher Award. His work not only advances theoretical knowledge but also drives practical applications that address critical real-world challenges, particularly in communication systems and healthcare. Jang’s passion for interdisciplinary research and teaching further solidifies his suitability for this prestigious recognition.

Haichang Jiang | AI | Best Researcher Award

Posted on by sciencefather

Mr Haichang Jiang | AI | Best Researcher Award

lecturer, jingdezhen university, China  📚

Haichang Jiang is a lecturer at the School of Information Engineering, Jingdezhen University, with over 10 years of experience in artificial intelligence technology, project management, and research. He completed his Master’s in Software Engineering at the University of Electronic Science and Technology of China in 2013 and earned his Ph.D. in Educational Management from the University of Perpetual Help System DALTA in the Philippines in 2023. Jiang has successfully managed large-scale AI projects, such as AI public opinion platforms for the Cyberspace Administration of China and the Ministry of Education.

Profile

Google Scholar

Education 🎓

Haichang Jiang holds a Master’s degree in Software Engineering from the University of Electronic Science and Technology of China (2013). In 2023, he received his Ph.D. in Educational Management from the University of Perpetual Help System DALTA, Philippines, where he honed his expertise in artificial intelligence and educational technologies.

Experience 💼

Jiang has extensive experience in both academia and industry. He has been a lecturer at Jingdezhen University since 2023, teaching AI and related subjects. His professional career includes managing and researching AI-based projects such as the development of AI-driven platforms for the Chinese government and the design of smart healthcare and financial systems. He has collaborated with various top Chinese universities and institutions on AI and health-related research.

Research Interests 🔬

Haichang Jiang’s research primarily focuses on artificial intelligence, smart healthcare, intelligent finance, and sentiment analysis. His projects involve the application of deep learning in medical diagnostics, the development of smart financial systems, and the integration of multimodal views based on natural language for public opinion monitoring.

Awards 🏆

Jiang has contributed significantly to various research projects, with notable achievements including his involvement in AI public opinion platforms, AI-driven smart healthcare systems, and environmental monitoring technologies. His work has been recognized by the Ministry of Education of China, the Jiangxi Provincial Higher Education Society, and several leading academic organizations.

Publications Top Notes 📑

“Research on Real-time Psychological Crisis Early Warning System Based on Natural Language and Deep Learning”, Journal of Artificial Intelligence, 2024. Cited by 15 articles.

“Innovation and Practice of Teaching Methods Under New Engineering Background”, Educational Technology and Society, 2024. Cited by 10 articles.

Conclusion

Haichang Jiang is a highly deserving candidate for the Best Researcher Award due to his extensive and impactful contributions to AI, healthcare, finance, and public opinion analysis. His innovative projects, ongoing research, and leadership in cutting-edge AI applications demonstrate his potential to drive future technological advancements. With continued collaboration and greater international visibility, Haichang Jiang is poised to further elevate the scope of his research, making him a suitable recipient of this prestigious award.