Computer Engineering

CADUYAC, ROB CHRISTIAN M.

ENGR. ROB CHRISTIAN M. CADUYAC

Instructor 6

rmcaduyac1@up.edu.ph

Educational Background:

Master of Engineering in Electrical Engineering (ongoing) University of the Philippines Diliman
Bachelor of Science in Electrical Engineering University of the Philippines Los Baños

Research Interests:

  • Agentic AI Systems
  • Generative AI
  • Machine Learning
  • Reinforcement Learning

 

 

Publications:

Berdin R., Caduyac R.C. (2025): Towards interpretability: Assessment of residual networks for tomato leaf disease classification. Res. Agr. Eng.
R.C.M. Caduyac, J.P.A. Ramoso, J.P.R. Arazas, and R.C.V. Tomas, “Electrochemical Impedance Spectroscopy based Discrimination of Materials using Artificial Neural Networks,” UP Los Baños Journal, vol. XXII, no. 1, pp. 62, Apr.-Oct. 2024.
A.D. Sta. Cruz, J. Osayan, L.R. Moreno, and R.C. Caduyac, “Performance of ArUco Detector in ArUco Marker Detection Using Non-GPS Drone,” in CRC Press eBooks, 2024, pp. 63–67.
R.C.M. Caduyac and J.F.R. Chan, “Comparative Analysis of Water Potability Prediction Based on Classical Machine Learning Algorithms and Artificial Neural Networks,” in CRC Press eBooks, 2024, pp. 149–153.
R.C.M. Caduyac, J.P.A. Ramoso, J.P. Arazas, and R.C.V. Tomas, “Machine Learning-based Discrimination of Materials through Electrochemical Impedance Spectroscopy,” 3rd International Conference on Engineering and Agro-Industrial Technology (iCEAT 2024), Philippines, 2024
R.C.M. Caduyac, J.P.A. Ramoso, J.P. Arazas, and R.C.V. Tomas, “The Effects of Feature Selection on Material’s Equivalent Circuit Visualization through Principal Component Analysis,” 2nd International Conference on Engineering and Agro-Industrial Technology (iCEAT 2023), Philippines, 2023.
A.D. Sta. Cruz, J. Osayan, L.R. Moreno, and R.C. Caduyac, “Performance of ArUco Detector in ArUco Marker Detection Using Non-GPS Drone,” International Science, Technology, and Engineering Conference (ISTEC 2022), Philippines, 2022.
R.C.M. Caduyac and J.F.R. Chan, “Comparative Analysis of Water Potability Prediction Based on Classical Machine Learning Algorithms and Artificial Neural Networks,” International Science, Technology, and Engineering Conference (ISTEC 2022), Philippines, 2022.

 

Project Involvements:

Development of a CNN and RNN Topology for Impedance Spectroscopy Analysis JPA Ramoso (Project Leader)
RCM Caduyac, MC Ilang-Ilang, RCV Tomas (Study Leaders)
CHAN, JOHN FRANCIS R.

ENGR. JOHN FRANCIS R. CHAN

Instructor 7

jrchan2@up.edu.ph

Educational Background:

Master of Science in Electrical Engineering (ongoing) University of the Philippines Diliman
Bachelor of Science in Electrical Engineering (cum laude) University of the Philippines Los Baños

Research Interests:

  • Machine Learning
  • Digital Design and HDLs
  • Data Management and Database Systems

 

Publications:

R.C.M. Caduyac and J.F.R. Chan, “Comparative Analysis of Water Potability Prediction Based on Classical Machine Learning Algorithms and Artificial Neural Networks,” in CRC Press eBooks, 2024, pp. 149–153.
J.F.R. Chan, M.C. Ilang-Ilang, and A.L.C. Pintor. (2024). “Development of a Microcontroller-based Oil Spill Monitoring Buoy”, Advancing Sustainable Science and Technology for a Resilient Future (pp. 36-40). CRC Press. https://doi.org/10.1201/9781003490210
R.C.M. Caduyac and J.F.R. Chan, “Comparative Analysis of Water Potability Prediction Based on Classical Machine Learning Algorithms and Artificial Neural Networks,” International Science, Technology, and Engineering Conference (ISTEC 2022), Philippines, 2022.
ILANG-ILANG, MELVIN C.

ASST. PROF. MELVIN C. ILANG-ILANG, MEng

Department Chair

Assistant Professor 3

mcilangilang3@up.edu.ph

Educational Background:

Master of Engineering in Electrical Engineering University of the Philippines Diliman
Bachelor of Science in Electrical Engineering University of the Philippines Los Baños

Research Interests:

  • Digital Signal Processing
  • Data Communications
  • Robotics

 

 

Publications:

J.F.R. Chan, M.C. Ilang-Ilang, and A.L.C. Pintor. (2024). “Development of a Microcontroller-based Oil Spill Monitoring Buoy”, Advancing Sustainable Science and Technology for a Resilient Future (pp. 36-40). CRC Press. https://doi.org/10.1201/9781003490210

 

Project Involvements:

Development of electrochemical aptasensor for clinical monitoring of Hepatitis B virus infection using untreated blood samples (HBV e-APTASENSE) (ongoing)
 MC Ilang-Ilang (Project Staff)
Development of a CNN and RNN Topology for Impedance Spectroscopy Analysis JPA Ramoso (Project Leader)
RCM Caduyac, MC Ilang-Ilang, RCV Tomas (Study Leaders)
AIoT Aided Farm Management for the Optimized Production of Selected High Value Crop JPA Ramoso, MC Ilang-Ilang
(Study Leaders)
RAMOSO, JOHN PAOLO A.

ASST. PROF. JOHN PAOLO A. RAMOSO, MSc

Assistant Professor 7

jaramoso@up.edu.ph

On Study Leave

Educational Background:

Doctor of Philosophy in Biomedical Engineering (ongoing) Brunel University of London
Master of Science in Electrical Engineering University of the Philippines Diliman
Bachelor of Science in Electrical Engineering University of the Philippines Los Baños

Research Interests:

  • Robotics
  • Machine Learning
  • Instrumentation

     

    Publications:

    R.C.M. Caduyac, J.P.A. Ramoso, J.P.R. Arazas, and R.C.V. Tomas, “Electrochemical Impedance Spectroscopy based Discrimination of Materials using Artificial Neural Networks,” UP Los Baños Journal, vol. XXII, no. 1, pp. 62, Apr.-Oct. 2024.
    R.C.M. Caduyac, J.P.A. Ramoso, J.P. Arazas, and R.C.V. Tomas, “Machine Learning-based Discrimination of Materials through Electrochemical Impedance Spectroscopy,” 3rd International Conference on Engineering and Agro-Industrial Technology (iCEAT 2024), Philippines, 2024
    R.C.M. Caduyac, J.P.A. Ramoso, J.P. Arazas, andR.C.V. Tomas, “The Effects of Feature Selection on Material’s Equivalent Circuit Visualization through Principal Component Analysis,” 2nd International Conference on Engineering and Agro-Industrial Technology (iCEAT 2023), Philippines, 2023.
    J. P. A. Ramoso, and M. C. Ramos, “Comparative Analysis of Fuzzy-Neural Network Implementations on an Autonomous Electric Vehicle,” Philippines Engineering Journal, Vol 42, No. 2, pp. 57-74, 2021.
    C.J.G. Arellano and J.P.A. Ramoso, “Development of a Four-sensor Microcontroller Chip-based Water Quality Analyzer for Determining Water Quality Index” Poster Paper (awarded Best Poster Paper presentation), 1st National Scientific Conference on Water, Los Baños, Laguna, Philippines, November 7-9, 2019
    S.L.B. Flores, A.A.M. Sumalde, M.C.C.D. Ignacio, J.P.A. Ramoso, and A.P.A. Manalo, “Fabrication, Calibration and Testing of a Transient Hot-Wire Thermal Conductivity Apparatus for Nanosilica-in-Fluid Dispersion (Nanofluids)”, Philippine Journal of Agricultural and Biosystems Engineering, Vol. 13, 2017
    J.P.A. Ramoso and M.C. Ramos  Jr., “Comparative Study of Different Fuzzy-Neural Configurations for Autonomous Vehicle Following Algorithm”, Control System, Computing and Engineering (IEEE-ICCSCE), Batu Ferringhi, Malaysia, 2016.DOI: 10.1109/ICCSCE.2016.7893609

     

    Project Involvements:

    Low-cost Portable Molecular Diagnostic Platform For Rapid Detection of Select Poultry Pathogens (LMDP) in the Philippines JPA Ramoso, ADC Sta. Cruz, LFB Torrizo
    (Expert Consultants)
    Appropriate Instrumentation and Data Acquisition System for Performance Testing of Agricultural Machinery JPA Ramoso
    (Project Staff)
    Feasibility Study for the Establishment of a Commercial Scale Sweet Sorghum Bioethanol Production System in the Philippines JPA Ramoso
    (Study Leader
    Establishment of a 25-kW Waste-to-Energy Facility Using a Direct Combustion Process for Municipal Solid Waste JPA Ramoso
    (Technical Consultant)
    Development of a CNN and RNN Topology for Impedance Spectroscopy Analysis JPA Ramoso (Project Leader)
    RCM Caduyac, MC Ilang-Ilang, RCV Tomas (Study Leaders)
    AIoT Aided Farm Management for the Optimized Production of Selected High Value Crop JPA Ramoso, MC Ilang-Ilang
    (Study Leaders)
    PCARI Research and Instructional Infrastructure for Mentoring and Collaboration, Expanded Project (PRIME+) KCC Agno, RA Aguirre, ED Dulce, ALC Pintor, JPA Ramoso
    (Project Staff)
    TOMAS, ROCK CHRISTIAN V.

    ENGR. ROCK CHRISTIAN V. TOMAS

    Instructor 7

    rvtomas1@up.edu.ph

    On Study Leave

    Educational Background:

    Master of Science in Electrical Engineering (ongoing) California Institute of Technology
    Bachelor of Science in Electrical Engineering (magna cum laude) University of the Philippines Los Baños

    Research Interests:

    • Control Systems
    • Machine Learning
    • Optimization
    • Instrumentation

     

    Publications:

    R.C.M. Caduyac, J.P.A. Ramoso, J.P.R. Arazas, and R.C.V. Tomas, “Electrochemical Impedance Spectroscopy based Discrimination of Materials using Artificial Neural Networks,” UP Los Baños Journal, vol. XXII, no. 1, pp. 62, Apr.-Oct. 2024.
    R.C.M. Caduyac, J.P.A. Ramoso, J.P. Arazas, and R.C.V. Tomas, “Machine Learning-based Discrimination of Materials through Electrochemical Impedance Spectroscopy,” 3rd International Conference on Engineering and Agro-Industrial Technology (iCEAT 2024), Philippines, 2024
    R.C.M. Caduyac, J.P.A. Ramoso, J.P. Arazas, and R.C.V. Tomas, “The Effects of Feature Selection on Material’s Equivalent Circuit Visualization through Principal Component Analysis,” 2nd International Conference on Engineering and Agro-Industrial Technology (iCEAT 2023), Philippines, 2023.
    C.V. Tolentino, A.M. Carino, K.I. Notarte, I. Macaranas, A. Fellizar, R.C.V. Tomas, L.M. Angeles, L. Abanilla, A. Lim, M.K.C. Aguilar, P.M. Albano, “pks + Escherichia coli more prevalent in benign than malignant colorectal tumors”, Molecular Biology Reports, July 23, 2021. doi: 10.1007/s11033-021-06552-1.

    Project Involvements:

    Development of a CNN and RNN Topology for Impedance Spectroscopy Analysis JPA Ramoso (Project Leader)
    RCM Caduyac, MC Ilang-Ilang, RCV Tomas (Study Leaders)