Gabriel Asael Tarigan, S.Kom., M.Kom.

Gabriel Asael Tarigan, S.Kom., M.Kom.

AI Lecturer & Researcher @BINUS University. Designing AI curricula, building ML platforms, and researching Deep Learning architectures.

Gabriel Asael Tarigan, S.Kom., M.Kom.

I am a Lecturer Specialist and AI Researcher at BINUS University, School of Computer Science, where I serve as a Subject Developer and do Community Outreach for the Artificial Intelligence program. I design and author core AI/ML curricula and engineer the production systems that run them, including competitive machine learning platforms, automated evaluation portals, and interactive visual learning tools.

My research focuses on Deep Learning, Computer Vision (pose estimation and engagement detection), Time-Series Forecasting, and Applied ML Systems.

What I do: I teach it, I build it, I run it.

Research Interests

  • Computer Vision: Pose estimation, skeletal keypoint tracking, and engagement detection.
  • Deep Learning & Architectures: Hybrid neural models, parallelized LSTM-GRU networks, and Vision Transformers.
  • Time-Series Forecasting: Multivariate financial and sequential signal modeling.
  • ML Systems & MLOps: End-to-end model monitoring, edge inference, and lightweight LLM integration.
  • Educational Technology: AI-driven learning tools, gamified assessment platforms, and intelligent tutoring systems.

Selected Systems & Projects

  • ML Competition Platform (ARISE): A custom Kaggle-style competition system built for BINUS AI students, hosted efficiently on a single VPS (FastAPI, cloudflared tunnel, daily submission quotas, automated scoring pipelines, and analytics).
  • Course Evaluation & Quiz Portals: Single-attempt, NIM-gated assessment portals for university machine learning courses with real-time autograding and feedback.
  • Interactive Backpropagation Visualizer: A web-based educational visualizer that teaches neural network backpropagation through an intuitive four-step mental model (guess, measure, blame, nudge).
  • Build Diary: An automated public repository documenting weekly production shipments and technical experiments.

Selected Publications

A full list with citation metrics is available on my Google Scholar, ResearchGate, and the Publications page.

  • Skeletal Keypoint-Based Pipeline as a Computer Vision-Based Approach
    Gabriel Asael Tarigan, Kuncahyo Setyo Nugroho, Bens Pardamean.
    Communications in Mathematical Biology and Neuroscience, 2026.

  • Computer Vision-Based Pose Estimation for Student Engagement Detection: Trends and Challenges
    Gabriel Asael Tarigan, Gregorius Natanael Elwirehardja, Kuncahyo Setyo Nugroho, Bens Pardamean.
    IEEE 7th International Conference on Cybernetics and Intelligent System (ICORIS), 2025.

  • InterQ: A Job Interview Training Platform Using Facial Expression Detection and Answer Scoring
    Y. Boer, A. C. Permatasari, K. Kevin, Gabriel Asael Tarigan, D. Suhartono.
    IEEE 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2025.

  • Indonesian Food Detection with YOLO and Calorie Estimation Using Lightweight LLMs
    M. Nasari, Gabriel Asael Tarigan, et al.

  • Lighter Student Engagement Recognition in a Classroom Environment Using Skeletal Keypoints
    Gabriel Asael Tarigan, Gregorius Natanael Elwirehardja, Kuncahyo Setyo Nugroho, Bens Pardamean.
    IAENG International Journal of Computer Science.

  • Parallelization of LSTM-GRU Architectures for Multivariate Prediction of Stock Prices
    Gabriel Asael Tarigan, Eric Savero Hermawan, Abba Suganda Girsang.
    2024 International Conference on Information Management and Technology (ICIMTech), IEEE, 2024.