Hussam Elbehiery | Computer Science | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Hussam Elbehiery
Affiliation October 6 University
Country Egypt
Google Scholar ID NUfFMYwAAAAJ
Citations 454
h-index 8
i10-index 7
Subject Area Computer Science
Event Global Innovation Technologist Awards

Hussam Elbehiery

October 6 University, Egypt

The Innovative Research Award profile recognizes the scholarly activities, research output, and academic contributions of Hussam Elbehiery, a researcher affiliated with October 6 University in Egypt. The profile highlights research achievements within the field of Computer Science and evaluates scholarly influence using established bibliometric indicators including citation counts, h-index values, publication records, and academic engagement metrics.[1] The recognition is presented within the framework of the Global Innovation Technologist Awards, which acknowledge researchers demonstrating sustained academic productivity and contributions to scientific advancement.[2]

Abstract

This article presents an academic recognition profile of Hussam Elbehiery, focusing on scholarly activities, publication performance, citation impact, and contributions to Computer Science research. The profile synthesizes publicly available academic indicators and contextualizes research achievements within broader scientific and technological developments. Bibliometric evidence demonstrates measurable research visibility and engagement within relevant academic communities.[1][3]

Keywords

Innovative Research Award; Hussam Elbehiery; Computer Science; Research Impact; Citation Analysis; Scholarly Recognition; Academic Excellence; Research Evaluation; Scientific Contributions; Global Innovation Technologist Awards.

Introduction

Academic recognition programs frequently evaluate researchers through a combination of publication quality, scholarly influence, citation performance, and contributions to knowledge advancement. Within Computer Science, research productivity and measurable impact indicators provide important evidence for assessing professional achievement and scientific engagement.[4] The present profile examines the research standing of Hussam Elbehiery using recognized scholarly metrics and publicly accessible academic records.[1]

Research Profile

Hussam Elbehiery is affiliated with October 6 University and is engaged in Computer Science research activities. Academic performance indicators associated with the researcher include 454 citations, an h-index of 8, and an i10-index of 7. These metrics indicate that multiple publications have achieved measurable scholarly visibility and have been referenced by other researchers within related fields.[1][5]

The researcher’s academic profile reflects sustained participation in scientific dissemination through journal articles, conference publications, and related scholarly outputs. Such activities contribute to the development and exchange of knowledge across technological and computational domains.[3]

Research Contributions

Research contributions associated with this profile demonstrate engagement in contemporary Computer Science topics, including computational methodologies, technological innovation, systems development, and applied digital solutions. Scholarly work contributes to the broader objective of advancing scientific understanding and supporting evidence-based technological progress.

The impact of academic contributions may be observed through citation activity, scholarly referencing, and integration of published findings into subsequent research efforts. Such indicators provide evidence of knowledge dissemination and research relevance within scientific communities.[5]

Publications

Publication activity forms a central component of scholarly evaluation. Academic outputs attributed to Hussam Elbehiery contribute to the documented record of Computer Science research and support ongoing scientific dialogue. Publications provide mechanisms for communicating methodologies, experimental findings, theoretical frameworks, and technological innovations to the wider research community.[3][7]

Research Impact

Research impact is commonly assessed through citation-based metrics and evidence of scholarly adoption. The citation count of 454 and the associated h-index and i10-index values indicate that the researcher’s publications have attracted measurable attention from peers and have contributed to continuing scientific discussions.[1][5]

While citation metrics represent only one dimension of academic influence, they remain widely used indicators for assessing research visibility, dissemination, and scholarly engagement across disciplines.[4]

Award Suitability

The profile demonstrates several characteristics commonly considered in academic recognition programs, including documented scholarly output, measurable citation impact, institutional affiliation, and continued participation in research dissemination. These factors align with evaluation frameworks frequently employed by innovation and research award initiatives.[2][4]

Based on available bibliometric indicators and evidence of research engagement, the profile presents a scholarly record consistent with consideration for recognition within innovation-focused academic award programs.[5]

Conclusion

Hussam Elbehiery’s academic profile reflects active participation in Computer Science research, supported by measurable citation performance and scholarly dissemination activities. The available evidence indicates meaningful engagement with the research community and supports recognition within academic and innovation-oriented award frameworks. Continued scholarly contributions may further enhance research visibility and scientific impact over time.[1][2]

References

  1. Google Scholar. (n.d.). Scholar profile of Hussam Elbehiery (User ID: NUfFMYwAAAAJ).
    https://scholar.google.com/citations?user=NUfFMYwAAAAJ&hl=en
  2. Global Innovation Technologist Awards. (n.d.). Award program overview and evaluation framework.
    https://innovationtechnologist.com/
  3. Garfield, E. (2006). The history and meaning of the journal impact factor. JAMA.
  4. Bornmann, L., & Daniel, H. D. (2008). What do citation counts measure? Journal of Documentation.
  5. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences.

Esther Peter | Computer Science Education | Best Researcher Award

Published on by Innovation Technologist

Dr. Esther Peter | Computer Science Education | Best Researcher Award

Lecturer 1 | Lagos State University | Nigeria

Dr. Esther Peter is a researcher in ICT Education with a specialization in Artificial Intelligence, whose work integrates culture, technology, and context to improve teaching and learning in STEM and computer studies. Her research interests span AI education, science education, innovative pedagogies, gender and equity in education, and data-driven educational improvement. She has contributed to knowledge through peer-reviewed journal articles, conference papers, and research reports, with particular emphasis on the Culturo-Techno-Contextual Approach for enhancing learners’ achievement and problem-solving skills. Dr. Peter is actively involved in scholarly review, capacity building, and advancing evidence-based educational practices in Africa and beyond.

Citation Metrics (Google Scholar)

350

280

210

140

70

0

Citations 303

h-index 9

i10-index 8
                    🟦 Citations           🟥h-index         🟩i10-index


View Google Scholar Profile

Featured Publications

Fangming Liu | Computer Science | Best Researcher Award

Published on by Innovation Technologist

Mr. Fangming Liu | Computer Science | Best Researcher Award

Professor at Huazhong University of Science & Technology | China

Fangming Liu is a Full Professor at the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China, and is also affiliated with Peng Cheng Laboratory, Shenzhen. He is widely recognized for his pioneering contributions to cloud and edge computing, data centers, green computing, software-defined networking, and applied artificial intelligence, establishing himself as a leading figure in computer science and engineering research.

Publication Profile 

Scopus

Google Scholar

Educational Background 

He completed his undergraduate studies in Computer Science and Technology at Tsinghua University and later pursued his doctoral degree in Computer Science and Engineering at the Hong Kong University of Science and Technology, where he developed strong expertise in distributed systems and large-scale computing.

Professional Experience 

Fangming Liu began his career as a software engineer in Beijing, gaining practical industry exposure before moving into academic and research roles. He worked as a research assistant at the Chinese University of Hong Kong and further expanded his international research experience as a visiting scholar at the University of Toronto. He has been with Huazhong University of Science and Technology for over a decade, where he currently serves as a Full Professor, leading research and academic initiatives in computer science and technology.

Research Interests 

His research interests span across cloud computing, edge computing, green and sustainable data centers, networking and distributed systems, mobile cloud computing, peer-to-peer systems, and the integration of machine learning and artificial intelligence with modern network and computing infrastructures.

Awards and Honors 

Fangming Liu has been recognized with numerous prestigious awards and honors. He is a recipient of the National Natural Science Fund for Excellent Young Scholars and the National Program Special Support for Top-Notch Young Professionals. He has received the First Class Prize of Natural Science from the Ministry of Education in China and the Second Class Prize of the National Natural Science Award in China. Internationally, his research has earned Best Paper Awards at major conferences including IEEE/ACM IWQoS, ACM e-Energy, and IEEE GLOBECOM.

Research Skills 

He demonstrates advanced skills in distributed computing, intelligent system design, network optimization, and sustainable computing solutions. His ability to merge theoretical models with practical system implementations has contributed significantly to advancements in next-generation computing and communication infrastructures.

Publications 

Gearing Resource-Poor Mobile Devices With Powerful Clouds: Architectures, Challenges, And Applications

Citation: 469

Year: 2013

Managing performance overhead of virtual machines in cloud computing: A survey, state of the art, and future directions

Citation: 350

Year: 2013

A Framework for Truthful Online Auctions in Cloud Computing with Heterogeneous User Demands

Citation: 307

Year: 2013

iAware: Making live migration of virtual machines interference-aware in the cloud

Citation: 263

Year: 2013

Building a network highway for big data: architecture and challenges

Citation: 258

Year: 2014

Conclusion 

In conclusion, Fangming Liu is a highly accomplished academic and researcher whose career reflects excellence in both scholarship and innovation. His impactful work in cloud and edge computing, data centers, networking, and applied AI has not only advanced the field of computer science but also provided solutions with real-world applications, positioning him as a leader in his discipline with ongoing influence in global research and technology development.