Educational Background:
PhD Architectural Engineering, DONG-A University Busan, South Korea, 2024
MS Civil Engineering (Structural Engineering), University of the Philippines, Diliman, 2015
BS Civil Engineering, University of the Philippines, Diliman, 2008

Current Membership in Professional Organizations:
Philippine Institute of Civil Engineers (PICE), 2009-present

Service Activities:
Deputy Director for Students and Alumni, Institute of Civil Engineering (ICE), University of the Philippines Diliman (UP Diliman), January 2025-present
Member, University Council Committee on Finance, UP Diliman, January 2024-present
Quality Assurance Officer, ICE, UP Diliman, September 2024-present
Group Head, Construction Engineering and Management Group, ICE, UP Diliman, August 2023-present
Resource speaker/lecturer, Center for Policy and Executive Development, National College for Public Administration and Governance, 2016 – 2017
Lecturer, Metallurgical Engineering Board Exam Review, June 2010 – March 2018
Invited Lecturer, Philippine Institute of Civil Engineers, January 2017

Recent Publications:

[1] M.D.E. Candelaria, S.H. Kee. Evaluation of thermal damages of concrete subjected to high temperatures using recurrent neural networks for ultrasonic pulse waves. Construction and Building Materials 407 (2023), 133416. https://doi.org/10.1016/j.conbuildmat.2023.133416

[2] M.D.E. Candelaria, N.M.M. Chua, S.H. Kee. Evaluation of Heat-Induced Damage in Concrete Using Machine Learning of Ultrasonic Pulse Waves. Materials 2022, 15, 7914. https://doi.org/10.3390/ma15227914

[3] M.D.E. Candelaria, S.H. Kee, K.S. Lee. Prediction of compressive strength of partially saturated concrete using machine learning methods. Materials 2022, 15 (5), 1662. https://doi.org/10.3390/ma15051662

[4] K.S. Lee, M.D.E. Candelaria, S.H. Kee. Comparison of static and dynamic modulus of elasticity and compressive strength according to dry conditions of concrete. Journal of the Korea Concrete Institute 33(5):449-458. October 2021. https://doi.org/ 10.4334/JKCI.2021.33.5.449

Recent Presentations:

[1] M.D.E. Candelaria, S.H. Kee. Feasibility of using machine learning for thermal damage estimation of concrete using ultrasonic wave measurements. Fall Conference of the Korean Institute of Architects and Engineers, October 26-28, 2022.

[2] M.D.E. Candelaria, S.H. Kee. Advanced data interpretations of ultrasonic pulse velocity measurements for damage assessment of concrete using machine learning. Korea Concrete Institute Conference, May 2022.