Mohamed Afify Elnagar | Information Systems | Best Researcher Award

Mr. Mohamed Afify Elnagar | Information Systems | Best Researcher Award

Assistant General Manager at Damanhour university, Egypt.

Mohamed Afify Elnagar is an accomplished banking professional with extensive expertise in banking storage management, logistics, and data analysis. He currently serves as an Assistant General Manager at the Egyptian Arab Land Bank, where he has been instrumental in enhancing operational efficiency, implementing banking policies, and ensuring compliance with internal controls. With a strong foundation in computer and information systems, he combines strategic decision-making with technological proficiency to optimize banking operations.

Professional Profile:

Google Scholar

Education Background

  • PhD Researcher, Institute of Graduate Studies and Environmental Research, Damanhour University
  • Master’s Degree in Computer and Information Systems, Sadat Academy for Administrative Sciences
  • Diploma in Computer and Information Systems, Sadat Academy for Administrative Sciences

Professional Development

With over two decades of experience in the banking sector, Mohamed Afify Al-Nagar has played a key role in overseeing banking storage operations and logistics management. His leadership in developing operational strategies and ensuring compliance has significantly contributed to the efficiency and quality of banking processes. His expertise extends to anti-money laundering, real estate finance, auditing, and internal control.

Research Focus

His research focuses on banking information systems, financial security, digital transformation in banking, risk management, and environmental sustainability in financial institutions.

Author Metrics:

  • Published works in banking storage management, information systems, and compliance.
  • Contributions to industry reports and research in financial technology and banking operations.

Awards and Honors:

Recognized for his contributions to banking operations and compliance, Mohamed Afify Al-Nagar has received several accolades for excellence in banking strategies, internal control, and financial risk management.

Publication Top Notes

1. Modeling a Sustainable Decision Support System for Banking Environments Using Rough Sets: A Case Study of the Egyptian Arab Land Bank

Journal: International Journal of Financial Studies (Impact Factor: 2.5, Q2)

Authors: Mohamed A. Elnagar, Jaber Abdel Aty, Abdelghafar M. Elhady, Samaa M. Shohieb

Publication Year: 2025

Abstract: This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka version 3.0 program. The aim was to identify potential units for targeted marketing, improve customer satisfaction, and contribute to sustainable development goals. By integrating sustainability principles into financing approaches, this research promotes green banking, encouraging environmentally friendly and socially responsible investments. A survey of EALB customers assessed their interest in purchasing homes under the real estate financing program. The results were analyzed with GraphPad Prism version 9.0, with 95% confidence intervals and an R-squared value close to 1, and we identified 13 units (43% of the total units) as having the highest marketing potential. This study highlights data mining’s role in enhancing marketing for the EALB’s residential projects. Combining sustainable financing with data insights promotes green banking, aligning with customer preferences and boosting satisfaction and profitability.

Conclusion

Mohamed Afify Elnagar is a highly qualified candidate for the Best Researcher Award due to his extensive contributions to banking information systems, sustainable finance, and compliance. His real-world impact, interdisciplinary expertise, and research output make him a strong contender. Expanding his global collaborations and publishing in higher-impact journals could further strengthen his profile.

Leadership in Business Applications Award in Network Science and Graph Analytics

Introduction of Leadership in Business Applications Award in Network Science and Graph Analytics

Welcome to the forefront of innovation! The Leadership in Business Applications Award in Network Science and Graph Analytics recognizes pioneers who have demonstrated exceptional leadership and ingenuity in leveraging network science and graph analytics for transformative business applications.

Eligibility:

Open to professionals and researchers worldwide, this award celebrates individuals aged 21 and above, with a minimum of a bachelor's degree and a proven track record in implementing network science and graph analytics solutions in a business context.

Evaluation Criteria:

Candidates will be evaluated based on their leadership impact, strategic vision, successful business application implementations, and the demonstrable use of network science and graph analytics to solve complex business challenges.

Submission Guidelines:
  • Submit a detailed biography highlighting your professional journey.
  • Include an abstract detailing your key contributions to business applications using network science and graph analytics.
  • Provide supporting files showcasing the practical implementation of your strategies.
  • Ensure that publications and achievements relevant to the field are included.
Recognition:

Recipients will receive a prestigious trophy, a certificate of achievement, and recognition at an industry-leading event. Additionally, winners will be featured in press releases and industry publications.

Community Impact:

The award aims to inspire and foster a community of forward-thinking professionals by highlighting the positive impact of network science and graph analytics in the business domain.

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