PANGALIMAN, Ma. Madecheen S.

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PANGALIMAN, Ma. Madecheen S.

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Engr. Ma. Madecheen S. Pangaliman, MSc, received her Bachelor of Science in Electronics Engineering (BSECE) degree from the Polytechnic University of the Philippines – Manila (PUP-Manila) in 2016, where she graduated with Latin Honors (Cum Laude), and her Master of Science in Electronics Engineering (MS ECE) from Mapúa University in 2019. She is currently pursuing a Doctor of Philosophy in Electrical and Electronics Engineering, specializing in Artificial Intelligence, at the University of the Philippines-Diliman. Before joining the faculty of the University of Santo Tomas in 2018, she worked as an Application Development Analyst at an Information Technology company for a year and a half.

She is a licensed Electronics Engineer and an active member of the Institute of Electronics Engineers of the Philippines, Inc. (IECEP), the Philippine E-Learning Society (PeLS), and the Institute of Electrical and Electronics Engineers (IEEE), participating in the Women in Engineering, Young Professional, and Education Society divisions. In addition to being one of the e-Learning specialists of the Faculty of Engineering during the Academic Year (AY) 2020 – 2021, she also served as a coordinator in the Student Academic Advising and Other Services (SAAS) and the Engineering Pre-Major Year Collaborative (EPYC) Program during AY 2021 – 2023. Currently, she is the head of the Top Thomasian Engineering News (Top TEN) Committee of the Faculty of Engineering, overseeing the academic unit’s public presence.

She has served as a resource person and published her research papers in local and international conferences, focusing on areas such as machine learning, deep learning, computer programming, robotics, and computational intelligence.

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Engr. Ma. Madecheen S. Pangaliman, MSc

Department of Electronics Engineering | Educational Technology Center

mspangaliman@ust.edu.ph

Academic Qualifications

Research Highlights

Research Interests

Academic Qualifications

Degrees

Master of Science in Electronics Engineering, Mapua University – Manila, Philippines
Bachelor of Science in Electronics Engineering, Polytechnic University of the Philippines – Manila, Philippines

Research Highlights

Machine Learning Predictive Models for Improved Acoustic Disdrometer
Development of Improved Acoustic Disdrometer Through Utilization of Machine Learning Algorithm

Research Interests

Data Science (Machine Learning, Deep Learning)
Computational Intelligence
Databases & Data Analysis
Algorithms and Software Engineering

Courses Handled

Major Recognitions

Professional Activities

Courses Handled

Electronics Engineering Physics
Electronics Engineering Physics Laboratory
Electromagnetics
Advanced Computer Programming and Algorithms
Computer Aided Design and Simulations
Physics for Engineers 1B
Engineering Physics Laboratory
Computer Fundamentals and Programming

Major Recognitions

Graduated Cum Laude from the Polytechnic University of the Philippines (2016)
Certified Apple Teacher
Certified Adobe Creative Educator (Level 1)
Certified Microsoft Innovative Educator

Professional Activities

Co-coordinator, Student Academic Advising and other Services (SAAS), University of Santo Tomas – Faculty of Engineering
Committee Head, Top Thomasian Engineering News (Top TEN), University of Santo Tomas – Faculty of Engineering
e-Learning Specialist, University of Santo Tomas – Faculty of Engineering
Member and Officer, Institute of Electrical and Electronics Engineers (IEEE) Republic of the Philippines Section (PS)
Member and Officer, Institute of Electrical and Electronics Engineers (IEEE) Women in Engineering (WIE)
Member, Institute of Electrical and Electronics Engineers (IEEE), Institute of Electronics Engineers of the Philippines (IECEP), Philippine eLearning Society (PeLS), IEEE Young Professionals (YP), Education Society (EdSoc)
Reviewer, IEEE Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management Conference Committee (HNICEM)

Selected Publications

M. M. S. Pangaliman, F. R. G. Cruz and T. M. Amado, “Machine Learning Predictive Models for Improved Acoustic Disdrometer,” 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Baguio City, Philippines, 2018, pp. 1-5, doi: 10.1109/HNICEM.2018.8666256.
F. R. G. Cruz, M. M. S. Pangaliman, T. M. Amado and F. A. A. Uy, “Development of Improved Acoustic Disdrometer Through Utilization of Machine Learning Algorithm,” TENCON 2018 – 2018 IEEE Region 10 Conference, Jeju, Korea (South), 2018, pp. 1679-1682, doi: 10.1109/TENCON.2018.8650318.

The University of Santo Tomas is one of the leading private research universities in the Philippines and is consistently ranked among the top 1000 universities in the whole world. With academic degrees and research thrusts in the natural, health, applied, social, and sacred sciences, as well as business and management, the University continuously strives to make a positive impact on the society.

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