Yoongun Jung | Network Resilience | Best Research Article Award

Mr. Yoongun Jung | Network Resilience | Best Research Article Award

Korea University | South Korea

Mr. Yoongun Jung is an emerging researcher in Electrical Engineering, currently pursuing an M.S.–Ph.D. integrated program at Korea University, Seoul (2021–2027), after completing his B.S. in Electrical Engineering from the same institution in 2021. His research focuses on cutting-edge domains including AI applications in power systems, HVDC control, and energy management systems, contributing to intelligent, secure and sustainable power infrastructures. Demonstrating strong academic and research excellence, he has received several prestigious recognitions, beginning with an Excellence Award at the Kepco Creative Innovation Idea Contest in 2020 for his work on deep learning-based frequency response prediction. His impactful research has earned multiple Conference Best Paper Awards, including contributions on adaptive Volt–Var control using multiagent deep reinforcement learning (KIEE PES 2021, Jeju), cost-effective dynamic multi-microgrid formulation (KIEE Power System Research Association, 2023, Jeju), and transient stability data-driven special protection schemes using reinforcement learning (First Best Paper Award, ICRERA 2024, Japan). In addition, he has been recognized at IEEE Student Paper Awards for innovations such as solar power prediction using LGBM (2021), dynamic multi-microgrid formulation using spanning tree algorithms (2022), and federated reinforcement learning-based AGC algorithms, which won the Best Paper Award at the KIEE PES North America Chapter Meeting in 2025. Through his prolific research achievements, Mr. Jung continues to advance intelligent energy systems and contribute significantly to the future of smart power engineering.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Enhancing frequency stability with decentralized adaptive control using multi-agent deep reinforcement learning of multi-VSGs", S Kang, Y Jung, D You, G Jang, International Journal of Electrical Power & Energy Systems 172, 2025.

"Cost-Effective automatic generation control for Renewable-dominated grids: Multi-Agent deep reinforcement learning approach", Y Jung, S Kang, J Cha, S Song, M Yoon, G Jang, International Journal of Electrical Power & Energy Systems 173, 2025.

"Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability", K Kim, Y Jung, M Chang, J Cha, S Kang, H Ku, G Kwon, M Yoon, G, Jang International Journal of Electrical Power & Energy Systems 166, 2025.

"Physics-informed neural network-based VSC back-to-back HVDC impedance model and grid stability estimation", M Chang, Y Jung, S Kang, G Jang, Electronics 13 (13), 2024.

"Transient Stability Data Driven Special Protection Scheme Using Deep Reinforcement Learning", Y Jung, S Kang, K Kim, H Woo, S Choi, G Jang, S Song, M Yoon 2024, 13th International Conference on Renewable Energy Research, 2024.

Mahmoud Gharaibeh | Technological Networks | Best Researcher Award

Assoc. Prof. Dr. Mahmoud Gharaibeh | Technological Networks | Best Researcher Award

Associate Professor at Al Ain University, United Arab Emirates

Professional Profile

Scopus Profile
ORCID
Google Scholar

Summary

Dr. Mahmoud Gharaibeh, Ph.D., is an Associate Professor of Special Education at Al Ain University, Abu Dhabi, UAE. With over two decades of experience in teaching, research, and academic leadership, Dr. Gharaibeh is recognized for his significant contributions to the fields of dyslexia, language disorders, and inclusive education. He has played a pivotal role in integrating assistive technologies, artificial intelligence, and innovative methodologies into special education, particularly in the Arab world. His academic expertise, coupled with his passion for advancing learning for students with special needs, has earned him national and international accolades.

Education Details

Dr. Gharaibeh earned his Ph.D. in Language Disability and Dyslexia from United Arab Emirates University in 2018. He is currently pursuing a Master of Science in Speech, Language, and Communication (Advanced Studies) at City, University of London (2023–present). He holds an M.A. in Special Education from Amman Arab University (2009) and a B.Sc. in Education, Special Education from the University of Jordan (2002). His education reflects a deep foundation in both theoretical knowledge and practical application in special education.

Professional Experience

Since 2019, Dr. Gharaibeh has served as Associate Professor at Al Ain University. His previous teaching roles include part-time lectureships at Ajman University, Sharjah University, and UAE University from 2015 to 2019. Between 2002 and 2014, he worked extensively in UAE schools as a special education teacher and academic advisor. He has chaired several university committees, including the Scientific Research, Conferences, and Seminars Committee, and contributed to curriculum reviews, student affairs, and accreditation projects.

Research Interests

Dr. Gharaibeh’s research focuses on dyslexia, developmental language disorders, cognitive communication impairments, and the use of AI-powered tools like ChatGPT in special education. He is particularly interested in understanding how adverse childhood experiences affect learning, and how technological interventions can enhance literacy and communication for students with disabilities. His interdisciplinary approach blends educational psychology, linguistics, and technology.

Author Metrics

Dr. Mahmoud Gharaibeh has established a notable presence in the field of special education. According to his Google Scholar profile, he has been cited 96 times. His research contributions span various aspects of special education, including dyslexia, language disabilities, and the integration of assistive technologies in education.

Awards and Honors

In 2023, Dr. Gharaibeh received a three-year grant from the UAE Ministry of Education for his project on "Innovative Diagnostic Tools in Special Education." In 2024, he was honored with an award from Taylor & Francis Group for his distinguished efforts in research innovation and academic excellence.

Publication Top Notes

1. Improving Verbal and Leadership Skills in Gifted Sixth Graders: An Intervention Evaluation in the United Arab Emirates

The International Journal of Diversity in Education, 2025
DOI: 10.18848/2327-0020/CGP/v25i02/23-47
Authors: Mahmoud Gharaibeh, Emad Alamarnih, Mohammad Abed Gharaibeh
Summary: This study explored the impact of a structured intervention on verbal communication and leadership skills among gifted sixth graders. The results demonstrated measurable improvement, emphasizing the need for tailored enrichment programs in UAE schools.

2. Predicting Suicidal Ideation Among Youths With Autism Spectrum Disorder: An Advanced Machine Learning Study

Clinical Psychology & Psychotherapy, May 2025
DOI: 10.1002/cpp.70082
Authors: Hussein Al‐Srehan, Mohammad Nayef Ayasrah, Ayoub Hamdan Al‐Rousan, Mohamad Ahmad Saleem Khasawneh, Mahmoud Gharaibeh
Summary: Utilizing advanced machine learning techniques, this study successfully identified predictive factors of suicidal ideation in youths with ASD. The paper highlights the role of AI in early mental health intervention for vulnerable populations.

3. ChatGPT Enhances Reading Comprehension for Children with Dyslexia in Arabic Language

Disability and Rehabilitation: Assistive Technology, May 2025
DOI: 10.1080/17483107.2025.2508389
Authors: Mahmoud Gharaibeh, Abdullah Basulayyim
Summary: This paper examines how ChatGPT can be used to improve reading comprehension for Arabic-speaking children with dyslexia. Results showed significant gains in reading accuracy and fluency when AI was integrated into learning modules.

4. Supplemental Role of ChatGPT in Enhancing Writing Ability for Children with Dysgraphia in the Arabic Language

Education and Information Technologies, May 2025
DOI: 10.1007/s10639-025-13605-6
Authors: Mahmoud Gharaibeh, Mohammad Nayef Ayasrah, Abdullah Ahmed Almulla
Summary: This article presents evidence that ChatGPT-based writing support significantly improves writing skills in students with dysgraphia. The study advocates for the use of AI as a low-cost assistive tool in Arabic language instruction.

5. Exploring the Relationship Between Adverse Childhood Experiences and Internalizing and Externalizing Symptoms among Jordanian Adolescents: A Network Analysis Approach

Psychiatric Quarterly, February 2025
DOI: 10.1007/s11126-025-10125-x
Authors: Ayoub Hamdan Al-Rousan, Mohammad Nayef Ayasrah, Mohamad Ahmad Saleem Khasawneh, Mahmoud Gharaibeh
Summary: Applying network analysis, this paper investigates how early trauma influences behavioral outcomes in adolescents. The research provides new insights for targeted interventions in mental health services across the Middle East.

Conclusion

Dr. Mahmoud Gharaibeh is a dynamic educator, researcher, and innovator whose work bridges the gap between traditional special education and emerging technologies. His commitment to advancing learning outcomes for students with disabilities is evident in his research, teaching, and institutional leadership. By developing and promoting AI-assisted educational tools and focusing on high-impact psychological and linguistic research, Dr. Gharaibeh continues to shape the future of inclusive education in the region and beyond.