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.

Kamta Nath Mishra | Technological Networks | Best Researcher Award

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Dr. Kamta Nath Mishra | Technological Networks | Best Researcher Award

Associate Professor at BIT mesra, India📖

Dr. Kamta Nath Mishra is an Assistant Professor in the Department of Computer Science and Engineering at Birla Institute of Technology (BIT) Mesra, Deoghar Off-Campus. With over 25 years of teaching experience and 8 years in research, he specializes in areas such as operating systems, software engineering, data structures, computer algorithms, data communications, computer networks, programming languages, distributed computing, and Cloud-IoT technologies.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

Dr. Mishra earned his Ph.D. in Engineering from BIT Mesra in May 2015, focusing his research on developing a framework for multi-biometric systems aimed at enhancing personal identification techniques. Prior to this, he completed an M.S. in Software Systems from Birla Institute of Technology & Science (BITS), Pilani, in 2003, and a Master of Computer Applications (MCA) from Madan Mohan Malviya Engineering College, Gorakhpur, in 1996. He began his academic journey with a Bachelor of Science in Mathematics from Gorakhpur University in 1992.

Professional Experience🌱

Dr. Mishra’s professional career encompasses both international and national academic positions. Internationally, he served as an Assistant Professor in the Computer Science Department at Sebha University in Libya from October 2006 to July 2009, where he taught and guided research projects for undergraduate students. In India, he has held various roles at BIT Mesra, including Assistant Professor at the Noida Campus from July 2004 to September 2006, and at the main campus in Ranchi since August 2009. Additionally, he worked as a Senior Project Engineer at the Centre for Development of Advanced Computing (CDAC) in Noida, contributing to multiple research projects and teaching postgraduate students.

Research Interests🔬

Dr. Mishra’s research interests are diverse, focusing on areas such as multi-biometric systems, personal identification techniques, image processing and analysis, data communication and networks, distributed computing, and Cloud-IoT technologies. He has guided numerous research projects at both undergraduate and postgraduate levels, contributing to advancements in these fields.

Author Metrics

Throughout his career, Dr. Mishra has published extensively in reputable journals and conferences. His publications cover a range of topics, including data security in cloud-based IoT technologies, deadlock prevention in distributed systems, and multi-biometric systems for personal identification. He has also contributed chapters to edited books and presented papers at international and national conferences.

Publications Top Notes 📄

1. A Novel Approach Toward Enhancing the Quality of Life in Smart Cities Using Clouds and IoT-Based Technologies

  • Authors: KN Mishra, C Chakraborty
  • Book: Digital Twin Technologies and Smart Cities
  • Pages: 19-35
  • Citations: 81
  • Year: 2020

2. An Efficient Horizontal and Vertical Method for Online DNA Sequence Compression

  • Authors: KN Mishra, A Aggarwal, E Abdelhadi, DPC Srivastava
  • Journal: International Journal of Computer Applications
  • Volume/Issue: 3 (1)
  • Pages: 39-46
  • Citations: 67
  • Year: 2010

3. Channel Capacity Enhancement Using MIMO Technology

  • Authors: A Kumar, KN Mishra, A Mukherjee, AK Chaudhary
  • Conference: IEEE-International Conference on Advances in Engineering, Science and Management
  • Citations: 36
  • Year: 2012

4. A Novel Approach Towards Using Big Data and IoT for Improving the Efficiency of M-Health Systems

  • Authors: KN Mishra, C Chakraborty
  • Book: Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare
  • Citations: 31
  • Year: 2020

5. Fraud Prediction in Smart Societies Using Logistic Regression and K-Fold Machine Learning Techniques

  • Authors: KN Mishra, SC Pandey
  • Journal: Wireless Personal Communications
  • Volume/Issue: 119 (2)
  • Pages: 1341-1367
  • Citations: 30

Conclusion

Dr. Kamta Nath Mishra is a highly deserving candidate for the Best Researcher Award in Technological Networks. His significant contributions to Cloud-IoT technologies, biometric systems, AI-based fraud detection, and smart city development make him a valuable researcher in the field.

While further industry collaboration, patent development, and expansion into globally recognized journals could strengthen his research impact, his current achievements, diverse expertise, and strong publication record already establish him as a leading researcher.

Thus, Dr. Mishra stands as an outstanding nominee for the Best Researcher Award, recognizing his excellence in technological innovations and scholarly advancements.

Ezhilazhagan Chenguttuvan | Technological Networks | Best Researcher Award

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Assist. Prof. Dr. Ezhilazhagan Chenguttuvan | Technological Networks | Best Researcher Award

Assistant Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India📖

Dr. C. Ezhilazhagan is a Senior Member of IEEE with over 17 years of experience in academia and research, specializing in Wireless Communication. He completed his Ph.D. from Anna University, Chennai, in 2022, focusing on Wireless Communication, and has an M.E. in Optical Communication. His career spans various roles, from Lecturer to Assistant Professor (Selection Grade), with a deep commitment to advancing knowledge in communication systems. Dr. Ezhilazhagan has authored over 11 international journals, 16 conferences, and 5 book chapters, along with four patents, contributing significantly to the field. He is also an active member of several professional societies, including IEEE and IET, and has organized numerous seminars, workshops, and FDPs.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

  • Ph.D. in Wireless Communication, Anna University, Chennai (2022)
  • M.E. in Optical Communication, A.C. College of Engineering & Technology, Karaikudi, Anna University (2007)
  • B.E. in Electronics and Communication Engineering, M.S.A.J. College of Engineering, Egattur, Anna University (2005)
  • Diploma in Electronics and Communication Engineering, Chengalvaraya Naicker Polytechnic College, Vepery (2002)

Professional Experience🌱

Dr. Ezhilazhagan’s professional journey includes various esteemed academic positions, having served as a Lecturer and Assistant Professor in prominent institutions like Bharath University, St. Peters Engineering College, Jawahar Engineering College, Dr. N.G.P. Institute of Technology, and Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His teaching spans topics in Optical and Wireless Communication, contributing to the academic growth of many students. In addition to teaching, Dr. Ezhilazhagan has held significant roles in academic administration, including NBA, NAAC, and NIRF coordination, and served as an active member of the Institutional Research and Development committee.

Research Interests🔬

Dr. Ezhilazhagan’s research interests are in the areas of Wireless Communication, Optical Communication, Internet of Things (IoT), FPGA-based signal processing, and Artificial Intelligence applications in Communication Systems. He is particularly focused on advancing communication technologies and their application in the evolving landscape of Industry 4.0.

Author Metrics

Dr. Ezhilazhagan has made remarkable contributions to research with over 11 international journal publications, 16 conference papers, and several book chapters. His works are frequently cited, and he serves as a reviewer for numerous SCI and Scopus indexed journals. He has also authored two books and edited another, showcasing his expertise in his field. Dr. Ezhilazhagan continues to make substantial contributions to the field of communication, with ongoing research and publications.

Awards & Achievements

  • Guest of Honour – Teachers Day Award (2022)
  • NPTEL Certifications in Industry 4.0, Wireless Communication, AI, and Machine Learning
  • Active contributor to conferences such as ICCSP’24 and ICCSCT 2023
  • Reviewer for multiple SCI and Scopus indexed journals
Publications Top Notes 📄

1. Estimating Time and Frequency under Imperfect Channel Knowledge using ECM and SAGE Algorithms in Multi-relay Cooperative Networks

  • Authors: Ezhilazhagan Chenguttuvan, Lakshmi Prabha Karuppiah, Karuppanan Sakthisudhan
  • Published in: EURASIP Journal on Wireless Communications and Networking, 2025
  • DOI: 10.1186/s13638-024-02418-9
  • Summary: This paper focuses on estimating time and frequency in wireless communication networks, particularly in multi-relay cooperative networks with imperfect channel knowledge. It discusses the application of Expectation Conditional Maximization (ECM) and Space Alternating Generalized Expectation (SAGE) algorithms for better performance in these conditions.

2. Hybrid Machine Learning Approach for Early Stroke Prediction in Elderly People

  • Authors: P. Divya, K.L. Prabha, B.A. Devi, V.V. Kumar, K. Balaji, C. Ezhilazhagan, et al.
  • Published in: Communications on Applied Nonlinear Analysis, 2025, Vol. 32(2s), Pages 241-249
  • Summary: This research proposes a hybrid machine learning approach to predict the early onset of strokes in elderly individuals, enhancing the capacity for early diagnosis and intervention using medical data and machine learning techniques.

3. Mitigating Energy Holes and Enhancing QoS in Delay Tolerant Networks: The EEEHR-M Protocol

  • Authors: Lakshmi Prabha Karuppiah, Ezhilazhagan Chenguttuvan
  • Published in: 2024
  • Summary: This paper addresses the issue of energy holes and Quality of Service (QoS) in delay-tolerant networks (DTNs). It proposes the EEEHR-M protocol as a solution to mitigate energy holes and improve the QoS in these networks, which are often deployed in environments with intermittent connectivity.

4. Human Sound Detection for Multiple Disease Classification using CNN

  • Authors: Ezhilazhagan Chenguttuvan, Lakshmi Prabha, Sakthisudhan Karupanan
  • Presented at: 9th International Conference on ICT for Sustainable Development, 2024
  • Summary: This conference paper explores the use of Convolutional Neural Networks (CNN) to detect human sounds as part of a system for classifying multiple diseases, potentially aiding in non-invasive diagnostics and monitoring of health conditions.

5. Energy Hole Problem in Wireless Sensor Networks: A Research Review

  • Author: Lakshmi Prabha, Ezhilazhagan Chenguttuvan
  • Published in: Futuristic Trends in Network & Communication Technologies, 2024, Vol. 3
  • Summary: This research review paper examines the energy hole problem in wireless sensor networks (WSNs) and offers insights into strategies and approaches for mitigating this issue, which impacts the performance and lifespan of WSNs.

Conclusion

Dr. Ezhilazhagan Chenguttuvan is undoubtedly a highly deserving candidate for the Best Researcher Award. His extensive contributions in the fields of wireless and optical communication, along with his ability to integrate emerging technologies into his work, make him a leader in his field. His high-quality publications, leadership in teaching, and active participation in the academic community underscore his dedication to advancing knowledge and research in communication systems.

To further enhance his contributions, expanding international collaborations, diversifying his research scope, and focusing on translational research will enable him to address future challenges and make an even greater impact on both the academic and industrial fronts. With these enhancements, Dr. Chenguttuvan has the potential to remain at the forefront of his field, pushing the boundaries of communication technologies and their applications in the digital age.