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+++ title = "Research Experience" hascode = true date = Date(2022, 12, 14) rss = "A short description of the page which would serve as blurb in a RSS feed; you can use basic markdown here but the whole description string must be a single line (not a multiline string). Like this one for instance. Keep in mind that styling is minimal in RSS so for instance don't expect maths or fancy styling to work; images should be ok though: "

tags = ["syntax", "code"] +++

Marie Skłodowska-Curie Actions Fellowship in Doctoral Networks

<div align="justify">
As an early stage researcher, I am engaged in interdisciplinary research within the GAP Project, focusing on topological analysis of bone medical images. Here are some key highlights:
<ol>
  <li>
    Standard Bone Morphometry
    <ul>
      <li>
        Extracted bone morphometric measurements using BoneJ (a plugin for ImageJ). 
      </li>
    </ul>
  </li>
  <li>
    Topological Data Analysis
    <ul>
      <li>
        Generated vector representations of the cubical persistent homology computed from the bone medical images. 
      </li>
    </ul>
  </li>
  <li>
    Traditional Machine Learning
    <ul>
      <li>
        Trained machine learning models for regression to predict bone strength using extracted features. 
      </li>
    </ul>
  </li>
</ol>
</div>

CIP GRADUATE FELLOWSHIP

<div align="justify">
Embarking my journey as a CIP Fellow stationed at the QuICMaPP Facility, I have actively participated in a diverse range of tasks and initiatives, leveraging my skills and expertise in the field. Here are some key highlights:
<ol>
  <li>
    Object Detection Model Training and Hyperparameter Tuning
    <ul>
      <li>
        Trained YOLOv5 and YOLOv8 models using a comprehensive dataset consisting of field and laboratory-generated images featuring plastic waste. 
      </li>
      <li>
        Conducted hyperparameter tuning on the trained YOLOv5 model. 
      </li>
      <li>
        Performed five-fold cross validation to estimate the performance of the YOLO models on new data.
      </li>
    </ul>
  </li>
  <li>
    Class Activation Mapping (CAM) Analysis with the Trained YOLO Models
    <ul>
      <li>
        Applied Eigen-CAM to identify crucial regions of interest within the output of the YOLOv5 models and prepared a similar implementation on YOLOv8.
      </li>
      <li>
        Observed the CAM images to prepare a detailed analysis on the interpretations of the models.
      </li>
    </ul>
  </li>
  <li>
    Performance Evaluation of the Models
    <ul>
      <li>
        Summarized the performance metrics and created visualizations to comopare the YOLOv5 (Default and Optimized) models and the YOLOv8 model.
      </li>
      <li>
        Provided a short discussion of the history of YOLO, hyperparameter evolution, and object detection metrics.
      </li>
      <li>
        Used hypothesis testing to determine whether the models are significantly difference from each other.
      </li>
    </ul>
  </li>
  <li>
    Literature Review on Image Monitoring Tools
    <ul>
      <li>
        Contributed to a comprehensive literature review on image monitoring tools focused on macroplastic pollution.
      </li>
      <li>
        Assisted in identifying and evaluating open-source datasets relevant to the field.
      </li>
    </ul>
  </li>
  <li>
    Co-Supervision on Undergraduate Thesis
    <ul>
      <li>
        Provided comments on the methodology and the results to improve the quality of the study.
      </li>
      <li>
        Suggested improvements on the writing of a thesis project centered around model-assisted labeling.
      </li>
      <li>
        Read advanced concepts on robust estimation and hypothesis testing.
      </li>
    </ul>
  </li>
  <li>
    Co-Supervision on the Student Assistantship (SA) Program
    <ul>
      <li>
        Conducted initial assessment of the applicants to the SA program.
      </li>
      <li>
        Conducted interviews to the shortlisted applicants.
      </li>
      <li>
        Supervised accepted SAs in macroplastic tasks within the facility.
      </li>
    </ul>
  </li>
  <li>
    Christmas Lantern Project
    <ul>
      <li>
        Successfully deployed the object detection model onto a compact Raspberry Pi device.
      </li>
      <li>
        Integrated a light show into a plastic pollution-themed Christmas lantern, showcasing the versatility of the model in real-world applications.
      </li>
    </ul>
  </li>
  <li>
    Citizen Science Event
    <ul>
      <li>
        Investigated the feasibility of utilizing an annotated dataset from the public to develop a reliable plastic object detection model.
      </li>
      <li>
        Designed posters and signages for the conduct of the event catered to the UP Baguio community and an exclusive event for high school students outside UP Baguio.
      </li>
    </ul>
  </li> 
</ol>
These accomplishments reflect my commitment to advancing knowledge and applying cutting-edge technologies in meaningful and creative ways. I am excited to continue contributing to innovative projects and driving positive change in my field.
</div>

PUBLICATIONS

<div align="justify">
<ol> <li> Ignacio, P.S., Bulauan, J.-A., & Manzanares, J.R. (2020). A Topology Informed Random Forest Classifier for ECG Classification. In 2020 Computing in Cardiology Conference (CinC). 2020 Computing in Cardiology Conference. Computing in Cardiology. <a href="https://doi.org/10.22489/cinc.2020.297">https://doi.org/10.22489/cinc.2020.297</a> </li> <li> Manzanares, J. R. D., & Ignacio, P. S. P. (2025). Stable homology-based cycle centrality measures. <em> Journal of Mathematics and Computer Science, 38</em>(2), 179–200. doi:10.22436/jmcs.038.02.03 </li> </ol>
</div>

SCIENTIFIC MEETING PRESENTATIONS

<div align="justify">
<ol> <li> <a href="https://sites.google.com/view/tdaweek2023">TDA Week 2023 Conference</a> </li> <ul> <li> <a href="/assets/TDA Week Poster.png"> Poster Presentation </a> </li> </ul> <li> <a href="https://gtdaml.wixsite.com/2021">Second Graduate Student Conference: Geometry and Topology meet Data Analysis and Machine Learning (GTDAML2021)</a> </li> <ul> <li> <a href="/assets/GTDAML-Presentation.pdf"> Presentation </a> </li> </ul> <li> <a href="https://www.mathsociety.ph/index.php?option=com_content&view=article&id=43&Itemid=163"> Mathematical Society of the Philippines Annual Convention (2021)</a> </li> <ul> <li> <a href="/assets/MSP-Presentation.pdf"> Presentation </a> </li> </ul> <li> <a href="https://cinc.org"> Computing in Cardiology</a> 2021 </li></ol>
</div>

OTHER ACTIVITIES

<div align="justify">
<ol> <li> <a href = "https://dioscuri-tda.org/BasicNotionsSeminar.html">Basic Notions Seminar (Dioscuri Centre in Topological Data Analysis)</a> </li> <li> <a href="https://dioscuri-tda.org/seminars.html">TDA Seminar (Dioscuri Centre in Topological Data Analysis)</a> </li> <li> <a href="/assets/export/index.html">TDA Research Group (UP Baguio) Presentation</a> </li> <ul> <li> Postponed </li> </ul> <li> <a href="https://www.facebook.com/photo/?fbid=122129651666047871&set=pcb.122129651738047871">QuICMaPP Facility Citizen Science Events</a> </li> <ul> <li> 05-10 January 2024</li> <li> 15 January 2024</li> </ul> <li> <a href="https://www.facebook.com/photo/?fbid=122129651666047871&set=pcb.122129651738047871">Parol (Christmas Lantern) Making Contest</a> </li> </ol>
</div>