Dr. De Ocampo served as peer reviewer for this manuscript submitted for academic publication. The study explores a semi-supervised learning method combined with a generative model for identifying liver cancer from pathological image data — aligned with his expertise in machine learning and computer vision.

Invited by the Editorial Office of Plant Methods (Springer Nature) to review this manuscript. The study introduces a multi-site, multi-variety RGB image dataset of 48,320 time-stamped images across four European apple orchards, with 808 manually annotated images covering 241,600 expert annotations from dormant bud to fruit maturity.

• Journal: Plant Methods (Springer Nature)
• Invitation date: March 3, 2026
• Permission approved: March 5, 2026

Dr. De Ocampo served as Project Technical Consultant for this research project at Mindoro State University on a pro bono basis. He provided professional expertise, technical acumen, and commitment in delivering guidance and solutions for the WbM BIOMAS system.

• Institution: Mindoro State University
• Project Leader: Randy A. Quitain, CAS Faculty Member
• Engagement: Q4 2025 – Q1 2026 (pro bono)

Invited by Occidental Mindoro State College to serve as evaluator for the Industry, Energy, and Emerging Technology (Engineering) category of their 2026 Agency In-House Review.

• Event: 2026 AIHR – Agency In-House Review of R&D Project Proposals
• Theme: “Transdisciplinary and Ethical Research for Inclusive Innovation and Sustainable Development”
• Date: March 18–19, 2026 · Zoom Conference
• Invited by: Elbert C. Ebaniol, EdD — SUC President III, OMSC