معرفی
Gulzar Alam is a Researcher at the School of Computing, Engineering and Intelligent Systems (CEIS) at Ulster University, affiliated with the AICC (Advanced Innovation and Collaborative Centre). His work focuses on interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and data-driven decision-making. Key areas include ontology development for healthcare data, secure software testing methodologies, and smart city applications.
Research interests span AI-driven solutions for environmental challenges (e.g., waste management, water treatment optimization), healthcare informatics (predictive analytics and explainable AI), and cybersecurity frameworks for remote work environments. He explores human activity recognition (HAR) through sensor data analysis and develops tools for dataset quality assessment in AI research.
Recent publications highlight trends in AI applications across multiple domains, including real-time traffic crash prediction systems and energy-efficient cloud resource management. His cybersecurity work addresses evolving social engineering threats and industrial control system vulnerabilities. Alam collaborates with industry partners to translate research into practical tools such as the CAT (Cybersecurity Awareness Training) framework.
While no formal student advisees or grant details are disclosed, his research emphasizes open data utilization and ethical AI practices. He is based at the Belfast campus in room BC-04-315, contributing to the university’s strategic focus on innovation-driven education and industry collaboration.
