Ahmed Eassa | Information Systems | Editorial Board Member

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Assist. Prof. Dr. Ahmed Eassa | Information Systems | Editorial Board Member

Management Information Systems Department, Faculty of Management | Egypt

Assist. Prof. Dr. Ahmed Eassa is a researcher specializing in NoSQL security, web application protection, Internet of Things, blockchain-based systems, and intelligent cloud architectures, with a strong focus on designing secure, scalable, and context-aware digital solutions. His work advances modern computing through contributions to NoSQL injection detection methodologies, multi-agent testing tools, and advanced frameworks that enhance the security and performance of web applications. He has developed several architectures integrating IoT, context awareness, smart environments, and cloud services, including models for smart homes, hotel management, supply chains, and pandemic-control ecosystems using blockchain and cloud computing. His research also explores the optimization of web development through headless CMS and serverless approaches, as well as the integration of generative AI into decision-support systems to strengthen business information management. Across his publications, Dr. Eassa addresses critical gaps in cybersecurity by proposing innovative detection tools, secure models, and blockchain-enabled auditing mechanisms that support transparency, operational efficiency, and data integrity. His professional experience spans academic research, teaching, supervision, and collaborative development of security-focused software tools. He has contributed to interdisciplinary projects in computing, business technologies, and cyber-physical systems, reflecting a commitment to advancing secure digital transformation across organizational and industrial contexts. Through continuous engagement in emerging research areas such as Industry 5.0 cybersecurity, AI-driven analytics, and IoT-cloud ecosystems, he maintains a prominent role in shaping next-generation information systems and secure application architectures.

Profile: Google Scholar

Featured Publications

Eassa, A. M., Elhoseny, M., El-Bakry, H. M., & Salama, A. S. (2018). NoSQL injection attack detection in web applications using RESTful service. Programming and Computer Software, 44(6), 435–444.

Hassan, S. A. Z., & Eassa, A. M. (2022). A proposed architecture for smart home systems based on IoT, context-awareness and cloud computing. International Journal of Advanced Computer Science and Applications, 13(6).

Eassa, A. M., Al-Tarawneh, O. H., El-Bakry, H. M., & Salama, A. S. (2017). NoSQL racket: A testing tool for detecting NoSQL injection attacks in web applications. International Journal of Advanced Computer Science and Applications, 8(11).

Salama, A. S., & Eassa, A. M. (2022). IoT and cloud-based blockchain model for COVID-19 infection spread control. Journal of Theoretical and Applied Information Technology, 100(1), 113–126.

Hassan, S. A. Z., & Eassa, A. M. (2025). SHMIS: An integrated IoT context-awareness framework for hotel management to enhance guest experience and operational efficiency. Information Technology & Tourism, 27(3), 1–34.

Benitha Christinal J | Computer Science | Women Researcher Award

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Mrs. Benitha Christinal J | Computer Science | Women Researcher Award

Assistant Professor | Presidency University | India

Mrs. Benitha Christinal J is an accomplished academic and researcher specializing in Computer Science and Engineering with a strong focus on Artificial Intelligence, Deep Learning, and Internet of Things (IoT). She has extensive professional experience in higher education, demonstrating excellence in teaching, curriculum development, and academic coordination. Her research interests include deep learning applications for cybersecurity, decentralized systems, and intelligent data analysis. She has published numerous papers in reputed international journals such as Oxidation Communications, Ain Shams Engineering Journal, Journal of Supercomputing, and Optical Fiber Technology, addressing challenges in areas like federated learning, SDN-IoT security frameworks, and evolutionary intrusion detection systems. She has also presented her work at several international conferences, contributing to advancements in AI-based healthcare, blockchain-enabled sustainability, and smart network optimization. A published author of a textbook on Database Management Systems, she has guided multiple undergraduate and postgraduate projects that have gained recognition at academic and professional levels. Her technical proficiency spans programming languages like Python, Java, and C++, and tools for web and data driven applications. Beyond research and teaching, she has been actively involved in organizing academic events, fostering industry collaborations, and mentoring students toward innovation. Her commitment to advancing technology education and research underscores her vision of shaping the next generation of computer science professionals through excellence, creativity, and applied intelligence.

Profiles: Scopus | Orcid

Featured Publications

Benitha Christinal, J., Betsee Natasha, A., Nivethitha, M., Asmitha, E., & Kaviya, N. (2025). A modern generative AI framework for Alzheimer detection leveraging autoencoders and softmax classifier. In Proceedings of the 3rd International Conference on Augmented Intelligence and Sustainable Systems (ICAISS 2025). IEEE.

Benitha Christinal, J., Jagadeesh, S., Ajai, M., Lakshman, A., & Betsee Natasha, A. (2025). Memory Montage: Amnesia support appa. In Proceedings of the International Conference on Emerging Trends in Engineering and Technology (ICETET 2025). IEEE.

Benitha Christinal, J., & Ameelia Roseline, A. (2025, September). Securing SDON with hybrid evolutionary intrusion detection system: An ensemble algorithm for feature selection and classification. Optical Fiber Technology, 104206.

Benitha Christinal, J., Chandran, V., Srinic, J., & Prasannasrinivasan, A. (2024). A distributed node clustering coalition game for mobile ad hoc networks. In Proceedings of the Asia Pacific Conference on Innovation in Technology (APCIT 2024). IEEE.

Sumanth, V., Anitha, K., Christinal, J. B., Sekhar, G. S., Khekare, G., Patil, H., Kumar, N. M., & Rajaram, A. (2024). Advanced communications and networking for environmental protection monitoring in remote wilderness areas. Journal of Environmental Protection and Ecology, 25(3), 1012–1023.