Mohammed Alqadhi | Web Security | Research Excellence Award

Published on by Global Scholar Awards

Dr. Mohammed Alqadhi | Web Security | Research Excellence Award

Assistant Professor | The Institute of Public Administration | Saudi Arabia

Dr. Mohammed Alqadhi is an Assistant Professor at the Institute of Public Administration, specializing in software engineering, web development, and cybersecurity. His research focuses on the security and hosting infrastructure of free content websites, analyzing vulnerabilities, content management systems, and network characteristics. Dr. Alqadhi has authored seven peer-reviewed publications, including notable works such as Understanding the Country-Level Security of Free Content Websites and The Infrastructure Utilization of Free Contents Websites Reveal Their Security Characteristics. His research has received 12 citations, with an h‑index of 3, reflecting growing impact in the field. Collaborating extensively with international researchers, including David Mohaisen, he contributes to advancing knowledge in secure web deployments, cloud infrastructure, and digital safety. His work informs cybersecurity policies and practical applications, enhancing both scientific understanding and societal resilience in online environments globally.

Citation Metrics (Scopus)

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Featured Publications

Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

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Mr. Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

Cheif Technology Officer | V2 Technologies Inc | United States

Dr. Sathiyandrakumar Srinivasan is an emerging researcher in artificial intelligence, cybersecurity, and intelligent systems, currently affiliated with the Kalasalingam Academy of Research and Education, Krishnankoil, India. His work focuses on IoT security, evolutionary computing, intrusion detection systems, and machine learning–driven optimisation, where he integrates computational intelligence with advanced security frameworks to address critical challenges in modern networked environments. He has authored 19 peer-reviewed publications in reputed international journals and conferences, demonstrating a strong interdisciplinary profile and innovative research approach. His scholarship includes the notable 2025 contribution, “Securing IoT Network with Hybrid Evolutionary Lion Intrusion Detection System: A Composite Motion Optimisation Algorithm for Feature Selection and Ensemble Classification,” which highlights his expertise in designing hybrid AI models for enhancing IoT resilience. Dr. Srinivasan has collaborated with more than 30 co-authors, reflecting his active engagement in the global research community and his commitment to collaborative, high-impact scientific inquiry. His work carries significant societal relevance, particularly in strengthening digital trust, securing smart infrastructures, and improving the safety and reliability of intelligent systems domains critical to present and future technological landscapes. Dr. Srinivasan’s academic influence and research productivity are reflected in his metrics 141 citations, 19 documents, and an h-index of 7.

Profile: Scopus

Featured Publication

Srinivasan, S., Author2, A., Author3, B., & Author4, C. (2025). Securing IoT network with hybrid evolutionary lion intrusion detection system: A composite motion optimisation algorithm for feature selection and ensemble classification. Journal of Experimental and Theoretical Artificial Intelligence, xx–xx.

Abdul Razaque | Cybersecurity | Best Researcher Award

Published on by Global Scholar Awards

Prof. Dr. Abdul Razaque | Cybersecurity | Best Researcher Award

Professor | Satbayev University | Kazakhstan

Prof. Dr.Abdul Razaque is an accomplished cybersecurity and computer science scholar with more than twenty years of academic, research, and industry experience spanning the United States, Kazakhstan, China, South Korea, France, Morocco, and Pakistan. Currently a Professor of Cybersecurity at Satbayev University and a Postdoctoral Researcher at Gachon University, he has previously served in multiple tenure-track positions, directed international IT projects for UNESCO, and contributed to national ICT initiatives. His research expertise covers cybersecurity, IoT, cloud and edge computing, artificial intelligence, blockchain systems, wireless sensor networks, and smart-city technologies. He has authored more than 200 peer-reviewed publications, including high-impact Q1 journals such as Computer Science Review, IEEE Access, Sensors, Internet of Things, and Future Generation Computer Systems, alongside several books and book chapters. His work has accrued thousands of citations globally, reflecting sustained scholarly influence across interdisciplinary domains. As Principal Investigator or Co-Investigator, he has secured over US$6 million in competitive national and international research funding, leading large-scale projects in intelligent systems, cybersecurity frameworks, image-based monitoring, smart city infrastructures, and privacy-preserving architectures. His collaborative network spans leading institutions across the United States, Korea, Kazakhstan, Saudi Arabia, Europe, and South Asia, with repeated partnerships involving multidisciplinary teams of engineers, computer scientists, medical researchers, and industry stakeholders. Throughout his career, he has demonstrated a commitment to societal impact by developing scalable technologies for public safety, healthcare, digital governance, secure urban infrastructure, and advanced educational systems. His contributions extend to mentoring students, advising theses, shaping curricula, and promoting global research exchange. Recognized with awards including the Best Engineering Student Researcher Award, and supported by extensive professional certifications in cybersecurity, data science, AI, and enterprise technologies, he represents a globally engaged researcher dedicated to advancing secure, intelligent, and equitable digital ecosystems.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Almiani, M., AbuGhazleh, A., Al-Rahayfeh, A., Atiewi, S., & Razaque, A. (2020). Deep recurrent neural network for IoT intrusion detection system. Simulation Modelling Practice and Theory, 101, 102031.

Razaque, A., Bleakley, C., & Dobson, S. (2013). Compression in wireless sensor networks: A survey and comparative evaluation. ACM Transactions on Sensor Networks (TOSN), 10(1), Article 5.

Adnan, M., Razaque, A., Ahmed, I., & Isnin, I. F. (2014). Bio-mimic optimization strategies in wireless sensor networks: A survey. Sensors, 14(1), 299–345.

Al-lQubaydhi, N., Alenezi, A., Alanazi, T., Senyor, A., Alanezi, N., Alotaibi, B., … Razaque, A. (2024). Deep learning for unmanned aerial vehicles detection: A review. Computer Science Review, 51, 100614.

Razaque, A., & Sallah, M. (2013). The use of mobile phone among farmers for agriculture development. International Journal of Scientific Research, 2, 95–98.

Abdul Razaque’s work advances secure, intelligent, and scalable digital systems that strengthen cybersecurity, smart-city infrastructure, and data-driven decision-making across governments, industry, and academia. By integrating AI, blockchain, and IoT technologies into real-world solutions, he enhances public safety, operational efficiency, and technological resilience. His vision is to build globally accessible, trustworthy, and innovative digital ecosystems that drive sustainable societal and economic progress.