Mentorship

Mentorship is a central part of Jaderick’s teaching practice, bridging classroom instruction with independent research and project development. Each mentorship journey is unique—some are nurtured as ongoing projects, others culminate in milestones achieved through graduation, while a few remain as paths still unfolding. Together, these experiences illustrate the richness and complexity of guiding students as they grow into professionals and scholars.

This section lists the students Jaderick is currently mentoring, together with the titles of their research or capstone projects. These students are actively engaged in developing software systems or conducting research that advances both their learning and the discipline.

• CORTEZ, Allann D. (MS Computer Science)
  GIS and agent-based model for the impacts of coastal community’s decision to the future of Mangrove ecosystems amid Climate Change in Calapan, Oriental Mindoro

• GRAJO, Ronel A. (MS Computer Science)
  Optimizing Decentralized Swarm Robotics: Adaptive Communication Protocols and Energy-efficient Strategies for Land-based Autonomous Systems

• REYES, Ludrich Elkan E. (BS Computer Science)
  PDF Viewer That Uses Inbetweening Techniques to Produce More Engaging PDFs

• ROBLES, Erjoy Constantine L. (BS Computer Science)
  Optimizing Public Transport Stop Locations through Simulation-Based Modeling using NetLogo

• SUÑGA, Rafael B. (BS Computer Science)
  Creating and Detecting Fake Product Reviews in Conversational Filipino

This section lists students whose projects are still pending, whether due to a leave of absence, a change of advisor, or other circumstances. These entries serve as reminders of ongoing journeys, reflecting the challenges and realities that accompany academic work.

Leave of Absence:

• ACLAN, Allen Paul K.
  Integrated pattern matching algorithm for quality testing of smoked fish using digital image processing

• ADAOAG,  Joseph Gabriel J.
  An easily scalable and deployable public reporting system

• FABIA, Glenn G.
  Audio Content Analysis and Deep Convolutional Neural Network for Paddy Rice Variety Classification and Moisture Content Measurement

• FAJARDO, Marie Hezekiah Cyril D.
  Automated quantification of paddy moisture content using sound analysis and machine learning techniques

• PELAEZ, Kristine Bernadette P.
  A decision support system for stock trading in the Philippine Stock Exchange

Changed Advisor:

• LAPUZ, Christian Jeremy M. (U.P. Cebu)
  An Augmented Reality Enrollment Assistant for UP Cebu Students

• PASULOHAN, Frances (U.P. Cebu)
  Build-IT (BIT) AR

Mentorship is the quiet work of nurturing journeys, celebrating milestones, and honoring paths still unfolding.