AMADO, Timothy M.

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AMADO, Timothy M.

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Timothy M. Amado is a full-time faculty member of the ECE Department at the Technological University of the Philippines-Manila and a part-time faculty member at the ECE Department of the University of Santo Tomas. He earned his bachelor’s degree at TUP-Manila, where he graduated as Magna Cum Laude. He is a recipient of the DOST Academic Excellence Award, Special Award in Engineering, and TUP Academic Excellence Award. He pursued his post-graduate studies at Mapúa Institute of Technology, earning his master’s in Electronics Engineering. Currently, he is taking up his doctorate in Electronics Engineering at Mapúa University, focusing on reinforcement learning and intelligent transportation systems.

Engr. Amado has more than ten years of teaching experience in the field of board exam review, both for ECE licensure examinations, with expertise in Engineering Mathematics, Calculator Techniques, Signals and Systems, Control Systems, Network Theory, and Analog Electronics.

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Engr. Timothy M. Amado, MSc

Department of Electronics Engineering

tmamado@ust.edu.ph

Academic Qualifications

Research Highlights

Research Interests

Academic Qualifications

Degrees

Doctor of Philosophy in Electronics Engineering (Ongoing), Mapua University – Makati City, Philippines
Master of Science in Electronics Engineering, Mapua Institute of Technology – Manila, Philippines, 2015
Bachelor of Science in Electronics and Communications Engineering, Technological University of the Philippines – Manila, 2012

Research Highlights

Engr. Amado is a member of various research groups with internal and external funding in the Technological University of the Philippines – Manila including grants from DOST-PCHRD, DOST-NCR and USAID. He had also mentored students, both undergraduate and graduate, in doing their respective thesis and project study. Currently, he is a member of a research group that focuses on intelligent transportation systems with funding from CHED-DBM.

Research Interests

Machine Learning
Deep Learning
Reinforcement Learning

Courses Handled

Major Recognitions

Professional Activities

Courses Handled

ENG203L: Calculus (Lab)
ENG2014: Differential Equations

Major Recognitions

Best Poster, Information and Communications Technology Track from 7th ERDT Congress, July 2018;
Best Poster, Environment and Infrastructure Track from 4th ERDT Congress, July 2015;
DOST-SEI Academic Excellence Awardee, Department of Science and Technology, July 2012

Professional Activities

Associate Member, National Research Council of the Philippines
Member, Institute of Electronics Engineers of the Philippines (IECEP)

Selected Publications

N. M. Arago, T. M. Amado, and J. W. F. Orillo, “Utilization of cassegrain feed parabolic antenna design in increasing the efficiency of photovoltaic module,” in 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014, pp. 6-1. IEEE. [Online]. Available: https://doi.org/10.1109/HNICEM.2014.7016196
T. M. Amado, I. C. Valenzuela, and J. W. F. Orillo, “Horticulture of lettuce (Lactuvasativa L.) using red and blue led with pulse lighting treatment and temperature control in SNAP hydroponics setup,” Jurnal Teknologi, vol. 78, no. 5-9, pp. 67-71, 2016. [Online]. Available: https://doi.org/10.11113/jt.v78.8804
T. M. Amado and J. C. Dela Cruz, “Development of machine learning-based predictive models for air quality monitoring and characterization,” in TENCON 2018-2018 IEEE Region 10 Conference, 2018, pp. 0668-0672. IEEE. [Online]. Available: 10.1109/TENCON.2018.8650518
M. S. Pangaliman, F. R. G. Cruz, and T. M. Amado, “Machine learning predictive models for improved acoustic disdrometer,” in 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2018, pp. 5-1. IEEE. [Online]. Available: 10.1109/HNICEM.2018.8666256
T. M. Amado et al., “Development of an IoT-based intensive aquaculture monitoring system with automatic water correction,” International Journal of Computing and Digital Systems, vol. 10, pp. 1355-1365, 2020, University of Bahrain. [Online]. Available: http://dx.doi.org/10.12785/ijcds/1001120
T. M. Amado et al., “Weight prediction system for nile tilapia using image processing and predictive analysis,” International Journal of Advanced Computer Science and Applications, vol. 11, no. 8, 2020. [Online]. Available: 10.14569/IJACSA.2020.0110851

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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Espana Blvd., Sampaloc, Manila, Philippines 1008

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AMADO, Timothy M.

AMADO, Timothy M.

Updates

Silverio leads Industrial Eng’g faculty winners, presenters in Nagoya City University conference

Industrial engineering partners with SAP Business One for lab courses integration

Academic Qualifications

Research Highlights

Research Interests

Academic Qualifications

Research Highlights

Research Interests

Courses Handled

Major Recognitions

Professional Activities

Courses Handled

Major Recognitions

Professional Activities

Selected Publications

Selected Publications

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