RSIS International

Dr. Norhazren Izatie Mohd

Senior Lecturer

Universiti Teknologi Malaysia
Country
Malaysia
Education
PhD Program in Computer Science

Innovating the Future of Technology

About the Program

The PhD program in Computer Science offers a dynamic and rigorous approach to academic research in fields such as artificial intelligence, machine learning, data science, and software engineering. The program is designed to foster the intellectual and professional growth of students by providing them with the tools and resources needed to make meaningful contributions to the field. Students will work alongside renowned faculty members and industry professionals, gaining invaluable experience in both theoretical and applied aspects of computing.

Research Opportunities

Throughout the course of the program, students will have access to cutting-edge research projects and state-of-the-art laboratories. They will also be encouraged to publish their findings in top-tier conferences and journals. Collaborative research is encouraged, and students are provided with ample opportunities to network with experts from around the world.

Admission Requirements

To be eligible for the PhD program in Computer Science, applicants must have completed a Master’s degree in Computer Science or a closely related field. Additionally, applicants should demonstrate a strong research background, an excellent academic record, and the ability to contribute to innovative research projects. GRE scores, recommendation letters, and a personal statement outlining the applicant’s research interests and goals are required as part of the application process.

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Journal
International Journal of Research and Innovation in Applied Science (IJRIAS)
Biography
Senior Lecturer at Universiti Teknologi Malaysia, Faculty of Built Environment and Surveying. Certified trainer in Autodesk Revit by CIDB and Construction Work Design Management (CDM) by DOSHM. Research interests include gamification in learning, adult learning methodologies and training programs, application of Information Technology (IT) in the construction sector, and Building Information Modelling (BIM). Additionally, focuses on innovative procurement strategies and methods to enhance safety practices in the construction industry. Actively involved in hazard identification techniques and IT application development for the construction sector, aiming to improve efficiency, safety, and training effectiveness within the built environment. Contributes significantly to construction management and education through certifications and diverse research expertise.
Research Interests
Blockchain Technology, Construction Management, Education, Ethics, Information Technology, Law, Occupational Health, Organizational Behavior
Experience
7
Other Reviewer
Dr. Akenn Sunday Musa
Dr. Akenn Sunday Musa
Ms. Florlyn Mae C. Remegio
Ms. Florlyn Mae C. Remegio
Mr. Abioye Mayowa
Mr. Abioye Mayowa
Ms. Esther Chiadikaobi Ugwueke
Ms. Esther Chiadikaobi Ugwueke
Mr. James Mureu Kamau
Mr. James Mureu Kamau
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