Faisal Alshami | Machine Learning | Best Researcher Award

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Faisal Alshami | Machine Learning | Best Researcher Award

Dalian University of Technology | China

Author Profile

Google Scholar

Early Academic Pursuits

Faisal Alshami’s academic journey reflects a deep commitment to software engineering and technological innovation. He began his undergraduate studies at Sana’a University, Yemen, earning a BSc in Network Technology and Computer Security (2008–2012). His undergraduate thesis, “General Management System for Plant Protection,” showcased his early ability to integrate security and system management using ASP.NET, C#, and VPN with OSPF protocols, signaling his strong foundation in both networking and software development. Building on this groundwork, Faisal pursued a Master’s in Software Engineering at Northeastern University, China (2019–2022), where he specialized in advanced machine learning techniques. His master’s thesis, “Design and Implementation of Web API Recommendation System Based on Deep Learning,” utilized CNN, BLSTM, K-modes, and Word2Vec, demonstrating his growing expertise in AI-driven software solutions. Currently, Faisal is advancing his academic pursuits with a PhD in Software Engineering at Dalian University of Technology, China, focusing on federated learning, distributed systems, blockchain, edge computing, and graph neural networks (GNNs).

Professional Endeavors

Alongside his academic progression, Faisal has accumulated over 5 years of professional experience in the software and networking industry. His early career as a VoIP Engineer/Developer at Communication Services Company (2013–2015) allowed him to develop communication APIs and optimize large-scale systems. As a Network Manager and Systems Engineer at EliteTecs (2015–2016), he designed high-reliability networks using advanced protocols such as OSPF, EIGRP, and WiMAX, showcasing his expertise in secure and resilient infrastructures. His role as Full-Stack Developer and DevOps Lead at Almorisi Exchange Company (2016–2018) highlighted his ability to manage mission-critical systems with real-time performance and security. Here, Faisal excelled in building scalable architectures, simulation frameworks, and automated DevOps pipelines, which contributed to operational excellence.

Contributions and Research Focus

Faisal’s research is strategically positioned at the intersection of distributed systems, intelligent computing, and aerospace applications. His focus includes:

  • Federated learning and secure communication for multi-agent systems such as satellite constellations.

  • Edge computing and real-time distributed systems tailored for resource-constrained environments.

  • Robust machine learning frameworks for aerospace, automation, and high-reliability embedded systems.

  • Blockchain integration with AI to enhance security in data networks.

  • Simulation and testing methodologies to ensure fault tolerance in mission-critical software.
    This body of research reflects his ambition to address pressing challenges in space exploration, aerospace engineering, and advanced communication networks.

Impact and Influence

Faisal’s impact lies in bridging the gap between theory and applied innovation. His academic research is not confined to publications alone but extends into real-world applications in secure communications, high-availability systems, and intelligent software architectures. By combining his professional experience with cutting-edge research, Faisal has influenced the fields of network security, distributed computing, and AI-driven system optimization, making his contributions valuable to both academia and industry.

Academic Cites

His work has strong potential for academic citations due to its interdisciplinary nature—linking software engineering, AI, networking, and aerospace technologies. His focus on federated learning, blockchain, and edge computing positions his research at the forefront of emerging scholarly and industrial discussions, ensuring that his publications will attract citations in journals focusing on AI, distributed systems, cybersecurity, and aerospace software engineering.

Legacy and Future Contributions

Faisal Alshami is on a trajectory to build a lasting legacy in intelligent, secure, and scalable software engineering systems. His research is particularly impactful in aerospace applications and secure communications, areas that are becoming increasingly vital in a digital and space-driven era. As he progresses with his doctoral research, Faisal is expected to contribute significantly to the development of resilient federated learning frameworks, advanced distributed architectures, and mission-critical simulations. His blend of academic depth and industry experience ensures that his future work will leave a lasting influence on next-generation computing systems and aerospace engineering technologies.

Other Notable Highlights

  • Certifications: Faisal holds multiple certifications, including Neural Networks & Deep Learning (DeepLearning.AI), CCNP, CCNA, and advanced language certifications (Chinese HSK4, English YALI).

  • Training: He gained practical exposure at NEUSOFT Project Training, where he contributed to developing the Borrow-Seller System (BSS) using Java, Spring Boot, Vue.js, and Android Studio.

  • Core Competencies: His expertise spans software architecture, DevOps, distributed systems, full-stack development, secure networking, and agile collaboration.

Conclusion

In conclusion, Faisal Alshami is an emerging leader in the domain of software engineering, distributed systems, and intelligent computing. His academic journey, professional experiences, and research pursuits demonstrate a rare combination of technical mastery, innovation, and practical problem-solving skills. With his ongoing doctoral work and focus on future technologies such as federated learning, blockchain, and aerospace applications, Faisal is poised to make significant contributions that will influence both academia and industry for years to come.

Notable Publications

"A detailed analysis of benchmark datasets for network intrusion detection system" 

  • Author: M Ghurab, G Gaphari, F Alshami, R Alshamy, S Othman
  • Journal: Asian Journal of Research in Computer Science
  • Year: 2021

"Intrusion detection model for imbalanced dataset using SMOTE and random forest algorithm" 

  • Author: R Alshamy, M Ghurab, S Othman, F Alshami
  • Journal: International Conference on Advances in Cyber Security
  • Year: 2021

 

 

Mohamed Afify Elnagar | Information Systems | Best Researcher Award

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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.

Adla Padma | Blockchain | Best Researcher Award

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Ms. Adla Padma | Blockchain | Best Researcher Award

Research Scholar at  VIT Vellore, India 📝

Dr. Adla Padma is an Assistant Professor (On Contract) in the School of Computer Science Engineering and Information Systems (SCORE) at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu. With over six years of teaching and research experience, Dr. Padma is deeply involved in cutting-edge research in blockchain technology, IoT, and privacy preservation frameworks. Her current research focuses on developing efficient blockchain-enabled privacy preservation systems for smart environments. She is passionate about leveraging her academic background and expertise to contribute to the advancement of emerging technologies in computer science.

Profile    

Scopus Profile

Google Scholar Profile 

Education 🎓

Dr. Adla Padma has a strong academic foundation in Computer Science Engineering, beginning with her Bachelor’s degree (B.Tech) from KBR Engineering College, Yadadri Bhuvanagiri, Telangana, where she graduated with a percentage of 79.94% in 2012. She then pursued her Master’s degree (M.Tech) in Computer Science Engineering at Sri Indu Institute of Engineering and Technology, Rangareddy, Telangana, completing it in 2016 with an impressive 82.75%. Currently, she is a Ph.D. candidate at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, where she has submitted her thesis on an efficient blockchain-enabled privacy preservation framework for IoT smart environments. Throughout her academic journey, Dr. Padma has consistently demonstrated a commitment to excellence, both in her studies and in her ongoing research contributions to the field of computer science.

Professional Experience 💼

Dr. Padma’s academic career spans over six years, during which she has held positions as an Assistant Professor both at Sri Indu Institute of Engineering and Technology and VIT. Currently, as a faculty member at VIT, she is focusing on research in the fields of blockchain, IoT, and smart environments. She has guided students on various projects, including deep learning models for earthquake prediction and has presented talks on blockchain to B.Tech students. Prior to her position at VIT, she worked as an Assistant Professor in the Department of Computer Science & Engineering at Sri Indu Institute of Engineering and Technology from 2016 to 2020.

Research Interests 🔬

Dr. Adla Padma’s research interests lie at the intersection of cutting-edge technologies such as blockchain, the Internet of Things (IoT), and privacy preservation frameworks. She is particularly focused on developing efficient and scalable blockchain solutions for IoT smart environments, with an emphasis on ensuring privacy and security. Additionally, her work explores the design and analysis of algorithms, machine learning, and artificial intelligence techniques, aiming to address real-world challenges in data management and system optimization. Dr. Padma is also interested in web technologies, particularly in enhancing user experiences through novel image search models, and advancing the field of programming languages, with expertise in C, C++, Python, and Java. Her research aims to contribute to the evolution of smart systems and secure, decentralized environments in various technological domains.

Author Metrics 🏆

  • Publications:
    Dr. Padma has made significant contributions to the academic community, particularly in the areas of blockchain technology, IoT, and privacy preservation. Notably, she has received the Raman Research Award for her publications in these fields, including titles such as “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus” and “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities.”
  • Reviewer & Conference Roles:
    Dr. Padma serves as a technical reviewer for the American Journal of Information Science and Technology (2024-2027) and has also been a reviewer for the ic-ETITE’24 2nd IEEE International Conference conducted by VIT. She has taken an active role as Technical Panel Incharge and Organizing Committee Member for the same conference.
  • Awards:
    She has been honored with the Raman Research Award for her impactful research contributions, underscoring the recognition of her work within the academic community.

Awards and Achievements 🏆

  • Raman Research Award for the publication titled “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus,” VIT, Vellore.
  • Raman Research Award for the publication titled “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities,” VIT, Vellore.
  • Technical Reviewer for the American Journal of Information Science and Technology (2024-2027).
  • Technical Reviewer for the ic-ETITE’24 2nd IEEE International Conference, VIT.
  • Technical Panel Incharge and Organizing Committee Member for ic-ETITE’24 2nd IEEE International Conference, VIT

Publications Top Notes 📚

  1. Blockchain based an efficient and secure privacy-preserved framework for smart cities
    • Authors: A Padma, M Ramaiah
    • Journal: IEEE Access
    • Publication Year: 2024
    • Volume: 19
  2. A review of security vulnerabilities in industry 4.0 applications and the possible solutions using blockchain
    • Authors: M Ramaiah, V Chithanuru, A Padma, V Ravi
    • Book: Cyber Security Applications for Industry 4.0
    • Pages: 63-95
    • Publication Year: 2022
    • Publisher: Springer
  3. Detecting security breaches on smart contracts through techniques and tools: A brief review – Applications and challenges
    • Authors: A Padma, R Mangayarkarasi
    • Conference: International Conference on Information and Management Engineering
    • Pages: 361-369
    • Publication Year: 2022
  4. GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus
    • Authors: A Padma, M Ramaiah
    • Journal: Future Generation Computer Systems
    • Volume: 159
    • Pages: 64-76
    • Publication Year: 2024
  5. A Technologies Study on Trending for IoT Use Cases Aspires to Build Sustainable Smart Cities
    • Authors: M Ramaiah, RM Yousuf, R Vishnukumar, A Padma
    • Book: Intelligent Systems and Sustainable Computational Models: Concepts
    • Publication Year: 2024

Conclusion

Dr. Adla Padma is a highly qualified candidate for the Best Researcher Award. Her expertise in blockchain, IoT, and privacy preservation is well-aligned with current global technological challenges, particularly in the development of smart cities. Her impressive academic background, impactful publications, and significant contributions to research make her a standout figure in her field.