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

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

Gabriel Asael Tarigan, S.Kom., M.Kom. is a Lecturer Specialist in the Artificial Intelligence Program at BINUS University’s School of Computer Science. He designs and authors the program’s core curriculum, spanning machine learning, deep learning, applied NLP, computer vision, MLOps, signal processing, and IoT and robotics, including course outlines, assessment design, and labs. He engineers production educational platforms that bridge theoretical foundations with scalable real-world implementation, including a Kaggle-style ML competition platform, automated evaluation portals, and interactive learning tools.

His research focuses on Deep Learning architectures, Computer Vision (pose estimation and skeletal keypoint tracking), Time-Series Forecasting, and Applied ML Systems. He is committed to fostering future AI professionals and is active in community outreach, delivering AI and programming workshops for schools and communities across Indonesia.

Official Portfolio & Research:
Link: asaeltarigan.github.io

Academic Profiles:
Link: Google Scholar
Link: ORCID
Link: ResearchGate
Link: LinkedIn

Research Specializations

  • Deep Learning & Neural Architectures: Hybrid models and parallelized LSTM-GRU networks, benchmarked against transformer-based comparators.
  • Computer Vision: Pose estimation, skeletal keypoint detection, and automated engagement assessment.
  • Time-Series & Predictive Analytics: Multivariate financial and sequential signal modeling.
  • ML Systems & Educational Technology: MLOps, autograding platforms, and interactive learning visualizers.

Education & Academic Honors

  • Master of Computer Science (M.Kom.) – BINUS University (Summa Cum Laude, GPA 3.95)
  • Bachelor of Computer Science (S.Kom.) – BINUS University (Best Graduate)
  • Faculty Development Program (FDP) Scholar – Postgraduate Research Fellowship
  • Bangkit Academy Graduate (2022) – Machine Learning Path (Google, GoTo, Traveloka)

Professional Certifications & Industry Credentials

  • Microsoft Certified: Azure AI Fundamentals (AI-900)
  • Huawei Certified: Artificial Intelligence (HCIA-AI)
  • AI-ML Pen: Certified Professional
  • Published Research: IEEE ICIMTech (2024)

Academic Service & Editorial Activities

  • Subject Developer, Artificial Intelligence Program, School of Computer Science, BINUS University
  • Peer Reviewer, Engineering, Mathematics and Computer Science (EMACS) Journal
  • Coordinator, ARISE AI competition and its predecessor AIPLEX
  • Platform & Curriculum Developer, ML competition platform and automated assessment systems
Gabriel Asael Tarigan, S.Kom., M.Kom. adalah seorang Lecturer Specialist pada Program Studi Artificial Intelligence di School of Computer Science, BINUS University. Beliau merancang dan menyusun kurikulum inti program studi yang mencakup machine learning, deep learning, applied NLP, computer vision, MLOps, pemrosesan sinyal, serta IoT dan robotika—termasuk silabus perkuliahan (course outlines), perancangan asesmen, dan modul praktikum. Beliau juga mengembangkan production educational platforms yang menjembatani fondasi teoretis dengan implementasi nyata berskala besar, seperti platform kompetisi ML bergaya Kaggle, portal evaluasi otomatis, dan sarana pembelajaran interaktif.
Fokus riset beliau mencakup arsitektur Deep Learning, Computer Vision (pose estimation dan skeletal keypoint tracking), Time-Series Forecasting, serta Applied ML Systems. Beliau berkomitmen untuk membina calon profesional AI masa depan dan aktif dalam pengabdian masyarakat dengan menyelenggarakan lokakarya AI serta pemrograman untuk berbagai sekolah dan komunitas di seluruh Indonesia.

Official Portfolio & Research:
Link: asaeltarigan.github.io/id

Academic Profiles:
Link: Google Scholar
Link: ORCID
Link: ResearchGate
Link: LinkedIn

Spesialisasi Riset
  • Deep Learning & Arsitektur Neural: Model hibrida dan jaringan LSTM-GRU terparalelisasi yang diuji banding (benchmarked) terhadap komparator berbasis transformer.
  • Computer Vision: Pose estimation, deteksi skeletal keypoint, dan penilaian keterlibatan (engagement assessment) otomatis.
  • Time-Series & Analisis Prediktif: Pemodelan sinyal sekuensial dan finansial multivariat.
  • Sistem ML & Teknologi Pendidikan: MLOps, platform penilaian otomatis (autograding), dan visualisator pembelajaran interaktif.
Pendidikan & Penghargaan Akademik
  • Magister Ilmu Komputer (M.Kom.) – BINUS University (Summa Cum Laude, IPK 3.95)
  • Sarjana Komputer (S.Kom.) – BINUS University (Lulusan Terbaik)
  • Penerima Beasiswa Faculty Development Program (FDP) – Postgraduate Research Fellowship
  • Lulusan Bangkit Academy (2022) – Machine Learning Path (Google, GoTo, Traveloka)
Sertifikasi Profesional & Kredensial Industri
  • Microsoft Certified: Azure AI Fundamentals (AI-900)
  • Huawei Certified: Artificial Intelligence (HCIA-AI)
  • AI-ML Pen: Certified Professional
  • Riset Terpublikasi: IEEE ICIMTech (2024)
Pengabdian Akademik & Aktivitas Editorial
  • Subject Developer, Program Studi Artificial Intelligence, School of Computer Science, BINUS University
  • Peer Reviewer, Jurnal Engineering, Mathematics and Computer Science (EMACS)
  • Koordinator, Kompetisi AI ARISE dan pendahulunya, AIPLEX
  • Pengembang Platform & Kurikulum, platform kompetisi ML dan sistem asesmen otomatis

Research

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Publication

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