Curriculum Vitae

DR. ZAFIRA NADIA BINTI MAAZ

Senior Lecturer
  • Department of Quantity Surveying
    Faculty of Built Environment
  • zafiranadia
  • 03-79676847

BIOGRAPHY


Senior Lecturer | Researcher in AI, Big Data, Construction Management and Sustainable Construction

Dr. Zafira Nadia Maaz is a Senior Lecturer at the Department of Quantity Surveying, Universiti Malaya, specializing in artificial intelligence (AI), big data analytics, and digital governance for the built environment. Her research focuses on AI-driven decision intelligence, data driven decision making, data governance, carbon management, and digital transformation in construction.

She has played a key role in Construction 4.0 initiatives under the Malaysian Construction Industry Development Board (CIDB), contributing to the digitalization and modernization of construction practices through Big data. She has secured multiple government-funded and industry-funded research grants and collaborated with key stakeholders, including the Ministry of Works Malaysia, RISM, CIDB, IEM, and JKR. She actively published in WoS and Scopus journals as well as co-authored several industry report, offering insights into Malaysia’s digitalization and data analytics in construction landscape.

In 2023, she was invited to present her research on data analytics and AI at the University of Cambridge, a prestigious engagement funded by the Ministry of Higher Education Malaysia. She is also the youngest female recipient of the RICS Young Achiever Award in Southeast Asia, distinction that acknowledges her contributions to advancing big data and AI applications in quantity surveying and the built environment.

Beyond her academic and research pursuits, she is known for her open-minded and progressive approach to leadership, fostering a collaborative and innovative learning environment for students and professionals alike. She is deeply passionate about translating research into practical solutions that drive the construction industry forward through AI, data-driven governance, and sustainability.

ACADEMIC QUALIFICATION


  • PhD.QSURV, (QUANTITY SURVEYING)
    Universiti Teknologi Malaysia (UTM)
  • MSc.IBM, (INTERNATIONAL BUSINESS MANAGEMENT)
    University of Aberdeen
  • BQ.SURV, (QUANTITY SURVEYING)
    Universiti Teknologi Malaysia (UTM)

PUBLICATIONS


Article in Journal
  1. Maaz, Z. N., & Ismail, M. Z. (2024). Data Monetization Strategies: The Construction Industry Market Analysis. International Journal of Built Environment and Sustainability, 11(3), 103-119.
  2. Ismail, M. Z., Mohamad Ramly, Z., Maaz, Z. N., & Abdul Rahim, F. N. (2023). Assessment of Cost Influences in Rail Projects from Contractor’s Perspectives. International Journal of Built Environment and Sustainability, 11(1), 75–84. https://doi.org/10.11113/ijbes.v11.n1.1204
  3. Maaz, Z. N., S. Bandi, A. F. A. Fitri and N. Fariq, "Towards Big Data: Data Sharing Perception in the Malaysian Built Environment Sector," 2023 3rd Asia Conference on Information Engineering (ACIE), pp. 16-20, doi: 10.1109/ACIE58528.2023.00010.
  4. Tan, Y. J., Maaz, Z. N., Bandi, S., & Palis, P. A. (2022, September). Common Data Environment: Bridging the Digital Data Sharing Gap Among Construction Organizations. In International Conference on Emerging Technologies and Intelligent Systems (pp. 333-342). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031- 25274-7_27
  5. Lau, S. E. N., Aminudin, E., Zakaria, R., Saar, C. C., Roslan, A. F., Hamid, Z. A., Zain, M. Z. M., Maaz, Z. N., & Ahamad, A. H. (2021). Talent as a Spearhead of Construction 4.0 Transformation: Analysis of Their Challenges. IOP Conference Series: Materials Science and Engineering, 1200(1), 012025. https://doi.org/10.1088/1757-899x/1200/1/012025
  6. International Journal of Built Environment & Sustainability
  7. Ismail, S. A., Bandi, S., & Maaz, Z. N. (2018). An Appraisal into the Potential Application of Big Data in the Construction Industry. International Journal of Built Environment & Sustainability, 5(2), 152– 161. https://doi.org/10.11113/ijbes.v5.2.274.
  8. Maaz, Z. N., Bandi, S., & Amirudin, R. (2018). Big Data In The Construction Industry: Potential Opportunities and Way Forward. The Turkish Online Journal of Design, Art and Communication, Special Ed(September), 1470–1480.
  9. Maaz, Z. N., Bandi, S., & Amirudin, R. (2018). Potential Opportunities and Future Directions of Big Data in The Construction Industry. In South East Asian Technical University Consortium 2018 (pp. 1–8). Yogjakarta: IEEE.
Other Publications
  1. Royal Institution of Surveyors Malaysia (RISM), QS Division. (2024). Innovative construction report 2024. Royal Institution of Surveyors Malaysia - Technical Report

RESEARCH INTEREST


  • Artificial Intelligence for Smart Construction and Digital Twin Technologies (Artificial Intelligence)
  • Big Data Analytics and Computational Intelligence in Construction (Construction Data Analytics)
  • AI-Driven Sustainable Construction and Decarbonization (Sustainable Construction)
  • Construction IT, Digital Transformation, and Emerging Technologies (Construction IT, Construction Innovation)
  • Common Data Environment (CDE) and Interoperable Data Ecosystems in Construction (Common Data Environment)
  • Data Governance, Cybersecurity, and Regulatory Compliance for Construction Digitalization (Construction Data Governance)

SUPERVISION


Postgraduate Student
  1. (2024) DEVELOPMENT OF A BIG DATA ANALYTICS FRAMEWORK FOR MATERIAL PASSPORTS IN THE CONSTRUCTION SECTOR, TEOH SHU JOU

PATENT/ IPR


  • Sustainable Business Model for Future Fuel Station
    COPYRIGHT
  • Smart and Sustainable City Fuel Station Business Model
    COPYRIGHT
  • Futuristic Green Business Model for Fuel Station
    COPYRIGHT

COURSE ATTENDED


Internal/ External Course
INTERNAL COURSE- ORGANIZED BY PTJ
  1. ADVANCING SCHOLARS IN CAREER DEVELOPMENT AND EDUCATION (ASCEND) S3/2024, Universiti Malaya (UM) (04 Nov 2024 - 15 Nov 2024)