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
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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.

Julius Derghe Cham | Technological Networks | Best Researcher Award

Mr. Julius Derghe Cham | Technological Networks | Best Researcher Award

Teacher at University of Douala, Cameroon📖

Dr. Julius Derghe Cham is an experienced academic and professional in the field of Electrical Engineering, specializing in electrical power systems, electrotechnics, and renewable energy solutions. He has extensive teaching and research experience in various institutions across Cameroon, contributing to the training of future engineers and advancing research in electrical systems. With a strong background in project management, electrical installations, and MATLAB SIMULINK simulation, Dr. Cham is committed to driving innovation in power systems and establishing a consultancy firm.

Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

  • Ph.D. (Ongoing): Electrical Power Systems, University of Douala
  • Master of Engineering: Electrical Power Systems, University of Buea (2018–2021)
  • Master of Research: Electrotechnics, University of Douala (2017–2020)
  • DIPET II & I: Electrotechnics, University of Bamenda (2010–2015)
  • Baccalaureate Technique F3 (Electrical Technology): Government Technical High School Wum (2008)
  • Probatoire Technique F3 (Electrical Technology): Government Technical High School Wum (2007)
  • CAP Industrial in Electrical Equipment: Government Technical College Wum (2005)

Professional Experience🌱

Dr. Cham has extensive experience as both an academic and industry professional. He has served as a part-time lecturer at the University of Bamenda, IUC Douala, and Insam Bafoussam, where he has taught subjects such as Electrical Machines and Drives, Electrical Installations, and Power Systems. In addition, he has worked as an electrotechnician for MV/LV lines and domestic installations at CENELEC Ets and WELL Service Enterprise Company in Douala. His expertise spans project development, cost analysis, and renewable energy system design.

Research Interests🔬

Her research interests include:

  • Electrical power systems and renewable energy
  • Advanced electrotechnics and electrical installations
  • Energy efficiency and smart grid technology
  • Simulation and modeling using MATLAB SIMULINK

Author Metrics

Dr. Cham has contributed to research in electrical engineering, focusing on power systems, electrotechnics, and renewable energy solutions. His publications in various academic forums highlight his commitment to advancing sustainable electrical solutions and innovative teaching methodologies.

Awards and Honors
  • Recognized for excellence in teaching and research at multiple institutions
  • Active participant in pedagogical seminars and technical training workshops
  • Contributor to capacity-building programs for aspiring electrical engineers
Publications Top Notes 📄

1. Robust Adaptive Integral Sliding Mode Control of a Half-Bridge Bidirectional DC-DC Converter

  • Authors: JD Cham, FLD Koffi, AT Boum, A Harrison
  • Journal: International Journal of Electrical & Computer Engineering (2088-8708)
  • Volume/Issue: 15 (1)
  • Year: 2025
  • Key Focus: This paper presents a robust adaptive integral sliding mode control (RAISMC) approach for a half-bridge bidirectional DC-DC converter, ensuring stability and improved dynamic response under varying load conditions.

2. Accurate and Optimal Control of a Bidirectional DC-DC Converter: A Robust Adaptive Approach Enhanced by Particle Swarm Optimization

  • Authors: JD Cham, FLD Koffi, AT Boum, A Harrison, PMD Zemgue, NH Alombah
  • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
  • Article Number: 100899
  • Year: 2025
  • Key Focus: This study introduces a robust adaptive control strategy combined with Particle Swarm Optimization (PSO) to enhance the performance and efficiency of bidirectional DC-DC converters, optimizing control parameters for dynamic load conditions.

3. Robust Adaptive Sliding Mode Control of a Bidirectional DC-DC Converter Feeding a Resistive and CPL Based on PSO

  • Authors: JD Cham, FLD Koffi, AT Boum, A Harrison
  • Journal: International Journal of Power Electronics and Drive Systems (IJPEDS)
  • Volume/Issue: 15 (4)
  • Year: 2024
  • Key Focus: The paper explores the application of robust adaptive sliding mode control (RASMC) to a bidirectional DC-DC converter, ensuring stability while feeding both resistive and constant power loads (CPL), with PSO employed to optimize control performance.

Conclusion

Dr. Julius Derghe Cham is undoubtedly a deserving candidate for the Best Researcher Award. His substantial contributions to electrical engineering research, particularly in power systems, renewable energy, and advanced control techniques, position him as a leader in his field. With his solid academic background, research excellence, and dedication to teaching, Dr. Cham’s future in advancing innovative electrical solutions looks promising. Focusing on increasing his global research visibility, engaging in industry partnerships, and expanding the interdisciplinary scope of his work could further solidify his reputation as an influential researcher in the field. His passion for advancing technological networks and sustainability through research makes him an exemplary figure in the scientific community.