Mahmoud Gharaibeh | Technological Networks | Best Researcher Award

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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.

Fahimeh Dabaghi Zarandi | Community Detection | Women Researcher Award

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Assist. Prof. Dr. Fahimeh Dabaghi Zarandi | Community Detection | Women Researcher Award

Assistant Professor, at Vali-e-Asr University of Rafsanjan, Iran📖

Dr. Fahimeh Dabaghi-Zarandi is an accomplished researcher and academic in software engineering, specializing in data mining, green communication, and IoT. With a Ph.D. from the Iran University of Science and Technology, she brings a rich academic background and a passion for leveraging technology to address complex problems. As an Assistant Professor at Vali-e-Asr University, she continues to inspire students and contribute to the field through innovative research and collaboration.

Profile

Scopus Profile

Google Scholar Profile

Education Background🎓

Dr. Fahimeh Dabaghi-Zarandi holds a Ph.D. in Software Engineering from the Iran University of Science and Technology, Tehran, Iran, which she completed in September 2018. She earned her Master’s degree in Software Engineering from the prestigious Sharif University of Technology, Tehran, Iran, in August 2010, and her Bachelor’s degree in the same field from Ferdowsi University of Mashhad, Iran, in August 2008. Her academic journey reflects a consistent focus on software engineering, laying a strong foundation for her expertise in data mining, graph processing, and Internet of Things applications.

Professional Experience🌱

Dr. Fahimeh Dabaghi-Zarandi is an Assistant Professor at the Department of Engineering, Vali-e-Asr University of Rafsanjan, where she contributes to the advancement of computer engineering through teaching and research. She has actively participated in several national conferences on topics such as data mining and computational geometry, including the 16th CSI Computer Conference in Tehran (2011) and the Winter School on Computational Geometry at Amirkabir University (2009). Her involvement in these events reflects her commitment to staying at the forefront of developments in computer science and engineering.

Research Interests🔬

Dr. Dabaghi-Zarandi’s research focuses on:

  • Green Communication: Enhancing energy efficiency in communication systems.
  • Community Detection: Identifying clusters and patterns in large networks.
  • Data Mining: Extracting meaningful insights from large datasets.
  • Graph Processing: Algorithms and applications for analyzing graph structures.
  • Internet of Things (IoT): Developing intelligent solutions for interconnected systems.

Author Metrics 

Dr. Dabaghi-Zarandi’s publications have made significant contributions to her fields of interest, with her work cited by researchers worldwide. Her expertise in graph processing and community detection has been recognized in peer-reviewed journals and conferences, where she has shared her findings on the applications of data mining and IoT in sustainable technology

Publications Top Notes 📄

1. A survey on green routing protocols using sleep-scheduling in wired networks

  • Authors: F. Dabaghi, Z. Movahedi, R. Langar
  • Journal: Journal of Network and Computer Applications
  • Volume: 77
  • Pages: 106-122
  • Year: 2017
  • Citations: 47
  • Abstract: This paper provides a detailed survey of green routing protocols in wired networks, focusing on energy-saving methods achieved through sleep-scheduling mechanisms. The study reviews various techniques and evaluates their effectiveness, contributing valuable insights to the field of green networking.

2. Community detection in complex networks based on an improved random algorithm using local and global network information

  • Authors: F. Dabaghi-Zarandi, P. KamaliPour
  • Journal: Journal of Network and Computer Applications
  • Volume: 206
  • Article: 103492
  • Year: 2022
  • Citations: 11
  • Abstract: This work presents an enhanced random algorithm for community detection in complex networks. By integrating both local and global network information, the proposed method achieves higher accuracy and robustness compared to traditional approaches.

3. An energy‐efficient algorithm based on sleep‐scheduling in IP backbone networks

  • Authors: F. Dabaghi-Zarandi, Z. Movahedi
  • Journal: International Journal of Communication Systems
  • Volume: 30, Issue 13
  • Article: e3276
  • Year: 2017
  • Citations: 11
  • Abstract: This paper introduces an energy-efficient algorithm for IP backbone networks leveraging sleep-scheduling techniques. The algorithm optimizes energy consumption while maintaining network performance.

4. A dynamic traffic-aware energy-efficient algorithm based on sleep-scheduling for autonomous systems

  • Authors: F. Dabaghi-Zarandi, Z. Movahedi
  • Journal: Computing
  • Volume: 100, Issue 6
  • Pages: 645-665
  • Year: 2018
  • Citations: 7
  • Abstract: The study proposes a dynamic traffic-aware algorithm that enhances energy efficiency in autonomous systems by incorporating adaptive sleep-scheduling.

5. Local traffic-aware green algorithm based on sleep-scheduling in autonomous networks

  • Authors: F. Dabaghi-Zarandi
  • Journal: Simulation Modelling Practice and Theory
  • Volume: 114
  • Article: 102418
  • Year: 2022
  • Citations: 2
  • Abstract: This paper introduces a localized green algorithm tailored for autonomous networks. By integrating sleep-scheduling and traffic awareness, the proposed approach reduces energy consumption without compromising network performance.

Conclusion

Dr. Fahimeh Dabaghi-Zarandi is a highly deserving nominee for the Women Researcher Award due to her pioneering research in green communication, community detection, and energy-efficient algorithms. Her contributions address global challenges such as energy conservation and sustainable technology, making her work both impactful and timely.

With a clear trajectory of excellence and continuous innovation, Dr. Dabaghi-Zarandi exemplifies the qualities of a distinguished researcher. Addressing the identified areas for improvement would further amplify her achievements, but her existing body of work strongly supports her candidacy for this award.