Bautista of Electronics Eng’g, EdTech presents paper on deeper learning in eng’g lab classes during enriched virtual mode
Engr. Mary Grace Ann C. Bautista, MSc of the Department
BAUTISTA, Mary Grace Ann C.
BAUTISTA, Mary Grace Ann C.
Engr. Mary Grace Ann C. Bautista received her Bachelor of Science in Electronics Engineering (BS ECE) from the Technological University of the Philippines – Manila in 2014 and Master of Science in Electronics Engineering (MS ECE, with Thesis) from the De La Salle University – Manila in 2017. She is a licensed Electronics Engineer and an active member of the Institute of Electronics Engineers in the Philippines (IECEP). She is also a member of the Institute of Electrical and Electronics Engineers (IEEE) and Philippine e-Learning Society (PeLS). She is the e-Learning specialist of the Faculty of Engineering. Engr. Bautista is a Certified Microsoft Innovative Educator Expert (MIEE) and Certified Apple Teacher. Currently, she serves as the Adviser of the Pax Romana Engineering Unit and the Thomasian Engineer. She has presented and published research papers in international conferences which cover the research areas of computational intelligence and thermal imagery.
Updates
Engr. Mary Grace Ann C. Bautista, MS
Department of Electronics Engineering | Educational Technology Center
Academic Qualifications
Research Highlights
Research Interests
Academic Qualifications
Degrees
- Master of Science in Electronics and Communications Engineering, De La Salle University – Manila, Philippines, 2017
- Bachelor of Science in Electronics and Communications Engineering, Technological University of the Philippines – Manila, Philippines, 2014
Research Highlights
- Autonomous Hand Tractor
- DOST-PCAARRD funded project – Development of Autonomous Hand Tractor’s Navigation using Vision-Based System for Obstacle Detection and Multipoint Tracking System for Philippine Agricultural Fields
- Design and develop an autonomous navigation system platform specific for hand tractor unit
Research Interests
- Smart Farming
- Precision Agriculture
- Computational Intelligence
Courses Handled
Major Recognitions
Professional Activities
Courses Handled
- ECE2119 – Electronic Devices and Circuits
- ECE2113 – Computer-Aided Design and Simulations
- ECE2111L – Electronics Engineering Physics Laboratory
- ECE21110L – Advanced Mathematics Laboratory
- ECE21113L – Signal Processing Theory and Applications Laboratory
- ECE21114 – Computer Networks 1
- ECE21118L – Communications Systems Theory Laboratory
- ECE21119L – Digital Communications Laboratory
- ECE211120L – Electronic Systems and Design Laboratory
- ENG2010 – Engineering Economy
Major Recognitions
- Certified Microsoft Innovative Educator Expert (MIEE)
- Certified Apple Teacher
- Department of Science and Technology – Engineering Research and Development for Technology (DOST – ERDT) Scholarship Grantee (2015 – 2016)
- Department of Science and Technology – Science Education Institute (DOST – SEI) Scholarship Grantee (2009 – 2014)
Professional Activities
- e-Learning Specialist – University of Santo Tomas – Faculty of Engineering
- Member – Institute of Electrical and Electronics Engineers (IEEE)
Member – Institute of Electrical and Electronics Engineers – Republic of the Philippines Section (IEEE-PS) - Member – Institute of Electrical and Electronics Engineers – Women in Engineering (IEEE-WIE)
- Member – Institute of Electronics Engineers of the Philippines (IECEP)
- Member – IEEE Young Professionals (YP)
- Member – Philippine eLearning Society (PeLS)
- Reviewer – IEEE Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management Conference Committee (HNICEM)
Selected Publications
- A. U. Aquino, M. C. Bautista, R. G. Baldovino, E. J. Calilung, E. Sybingco, E. P. Dadios , “A Neuro-Fuzzy Mixing Control Model for the Cooking Process of Coconut Sugar,” 9th International Conference on Computer and Automation Engineering (ICCAE’17), Macquarie University, Sydney, Australia, 2017, pp. 244-247, https://doi.org/10.1145/3057039.3057063
- R. G. Baldovino, M. C. Bautista, A. U. Aquino, E. J. Calilung, E. Sybingco, E. P. Dadios, “GA Optimization of Coconut Sugar Cooking Process: A Preliminary Study using Stochastic Universal sampling (SUS),” 9th International Conference on Computer and Automation Engineering (ICCAE’17), Macquarie University, Sydney, Australia, 2017, pp. 244-247, https://doi.org/10.1145/3057039.3057064
- A. U. Aquino, M. C. Bautista, A. Bandala, E. P. Dadios, “Color Quality Assessment of Coconut Sugar using Artificial Neural Network (ANN)”, 2015 International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM 2015), Cebu City, Philippines, 2015, pp. 1-5, 10.1109/HNICEM.2015.7393182
