Portrait of Dr. Dwi Wahyu Prabowo
Dean · Lead of AIML Research Group · Universitas Darwan Ali

Dr. Dwi Wahyu Prabowo, S.Si., M.Eng.

Dean, Faculty of Computer Science, Universitas Darwan Ali

Researcher in biomedical signal processing and applied AI.

  • EEG Emotion Recognition
  • Biomedical Signal Processing
  • Deep Learning
  • AI in Healthcare
Read Research & Blog

About

Dwi Wahyu Prabowo is Dean of the Faculty of Computer Science (Fakultas Ilmu Komputer) at Universitas Darwan Ali. He has taught since 2011 and has held academic management roles in research and community service (LPPM) and in the Information Systems program.

His research connects biomedical time-series analysis with modern vision backbones: encoding EEG into image representations, then testing how well those representations carry emotional state across subjects. In practice, he documents these technical methods so that complex analytical pipelines can be scrutinized and reproduced by students and fellow researchers.

Verified credentials

  • 2024Ph.D. in Biomedical EngineeringDepartment of Electrical and Information Engineering, Universitas Gadjah Mada
  • 2019BUDI-LPDP AwardeeDoctoral scholarship, Indonesia Endowment Fund for Education
  • 2014M.Eng. in Biomedical EngineeringDepartment of Electrical and Information Engineering, Universitas Gadjah Mada
  • 2011B.Sc. in MathematicsUniversitas Indonesia
207+
CitationsGoogle Scholar
4
h-indexSINTA
15+
Years TeachingSince 2011
4
Featured PublicationsJournal, book chapter, conferences

Research & Publications

Peer-reviewed work on EEG-based emotion recognition. Each title opens the paper through its DOI or publisher page.

Enhancing EEG-Based Emotion Recognition Using Asymmetric Windowing Recurrence Plots

IEEE Access2024ieeexplore.ieee.org/document/10547242doi.org/10.1109/ACCESS.2024.3409384
9cites

A Systematic Literature Review of Emotion Recognition Using EEG Signals

Cognitive Systems Research2023doi.org/10.1016/j.cogsys.2023.101152
77cites

An Advanced Data Augmentation Scheme on Limited EEG Signals for Human Emotion Recognition

Springer, Lecture Notes in Electrical Engineering2023doi.org/10.1007/978-981-99-0248-4_27
4cites

Multi-Representation Convolutional Neural Network to Recognize Human Emotion

ICITDA2023ieeexplore.ieee.org/document/10427131
1cite

Active Research Spotlight

EmoReco

AWRP encoding of EEG feeding a frozen DINOv2 ViT-B/14 backbone, evaluated on five public emotion datasets under one pipeline.

  • DEAP
  • SEED
  • SEED-IV
  • DREAMER
  • FACED
github.com/akhbow/EmoRecoDino

eSign Fasilkom UNDA

An academic electronic signature system for the Faculty of Computer Science at Universitas Darwan Ali, built for official faculty documents.

Research Group: Artificial Intelligence & Machine Learning (AIML-RG)

Coordinator: Dr. Dwi Wahyu Prabowo

AIML-RG is led by Dr. Dwi Wahyu Prabowo as Coordinator. It is a center of excellence for applied computational research at Universitas Darwan Ali, covering biomedical signals (EEG/BCI), computer vision for local commodities, and compute-efficient deep learning.

  1. Biomedical Signal Processing & BCI

    EEG emotion recognition through spectrograms, recurrence plots (AWRP), and CNN-based spatial-temporal representations.

  2. Computer Vision & Local Commodities

    Image classification of agricultural and local commodities from Central Kalimantan using lightweight CNNs and YOLO object detection.

  3. Resource-Constrained Deep Learning

    Lightweight deep learning architectures designed to be trained and fully reproduced on free cloud platforms (Google Colab / Kaggle).

  4. Healthcare Analytics & Cross-Cluster Research

    Cross-cluster collaboration with the Data Science, Analytics & Decision Support Systems Research Group (DSDSS-RG), coordinated by Nurahman, M.Kom.

AIML-RG Faculty Team

  • Dr. Dwi Wahyu Prabowo, M.Eng.Lead / Coordinator
  • Nurahman, M.Kom.
  • Eka Prasetyaningrum, M.M.
  • Dwika Lovitasari Yonia, M.Kom.

Affiliated Research Groups

Five Research Groups operate in the Information Systems program:

  • AIML-RG
  • DSDSS-RG
  • SETK-RG
  • MHUI-RG
  • EDUTECH-RG

Student Supervised Publications

Peer-reviewed journal articles and conference proceedings co-authored with undergraduate students under thesis mentorship in the Information Systems program.

Peer-Reviewed Journals

  • Student Supervisee

    Aprina Sulistyawati, Dwi Wahyu Prabowo (2026)

    Analisis Sentimen Komentar Pengguna Tiktok terhadap Konten Fashion Brand Clotiva dengan Random Forest, Logistic Regression, dan Support Vector Machine
    Jurnal Ragam Pengabdian dan Penelitian (JURAGAN), Vol. 3, No. 1DOI 10.62710/v6exn887SINTA 31 cite
    teewanjournal.com/index.php/juragan/article/view/2718
  • Student Supervisee

    Muhammad Andika Fathurrahman, Dwi Wahyu Prabowo (2025)

    Perbandingan Performa Algoritma Random Forest dan SVM Dalam Mendeteksi serangan DDoS di Jaringan Cloud
    Jurnal Riset Rekayasa Elektro (JRRE), Vol. 7, No. 2DOI 10.30595/jrre.v7i2.27866SINTA 34 cites
    jurnalnasional.ump.ac.id/index.php/JRRE/article/view/27866
  • Student Supervisee

    Dwi Wahyu Prabowo, Octo Bian Limet (2025)

    Pemilihan Fitur Untuk Prediksi Kematangan Kelapa Sawit Menggunakan Explainable AI (XAI)
    Jurnal Riset Rekayasa Elektro (JRRE), Vol. 7, No. 2DOI 10.30595/jrre.v7i2.27865SINTA 31 cite
    jurnalnasional.ump.ac.id/index.php/JRRE/article/view/27865

Conference Proceedings

Research Notes & Technical Insights

Long-form notes with the mathematics and code left in. Open a note to read it here.

Demystifying AWRP: Why Spatial-Temporal Recurrence Encoding Beats Raw Features in EEG Emotion Recognition

A complete walkthrough: phase space reconstruction, the recurrence matrix, asymmetric windowing against GASF and MTF, feature extraction for Vision Transformers, and a NumPy implementation.

  • Featured Deep-Dive
  • 14 min read
IEEE Paper

Evaluating Cross-Subject Generalization: Why Benchmark Metrics Need Rigorous LOSO Audits

Where leave-one-subject-out evaluation quietly leaks, what to report beyond mean accuracy, and an audit loop you can reuse.

  • Curated Note
  • 6 min read

Academic Leadership & Education

Degrees, appointments, and professional certifications.

Education Timeline

  1. Ph.D. in Biomedical Engineering

    Department of Electrical and Information Engineering, Universitas Gadjah Mada

    2024 · GPA 4.00

  2. M.Eng. in Biomedical Engineering

    Department of Electrical and Information Engineering, Universitas Gadjah Mada

    2014 · GPA 3.76

  3. B.Sc. in Mathematics

    Universitas Indonesia

    2011

Appointments

  • DeanFaculty of Computer Science, Universitas Darwan Ali
    2025 – Present
  • Director, Institute for Research and Community Service (LPPM)Universitas Darwan Ali
    2017 – 2019
  • Head, Department of Information SystemsFaculty of Computer Science, Universitas Darwan Ali
    2015 – 2017
  • Faculty Lecturer & ResearcherFaculty of Computer Science, Universitas Darwan Ali
    2011 – Present

Certifications

  • Competency AssessorNational Professional Certification Board (BNSP)
    2025
  • Associate Data ScientistLSP BPPTIK, Ministry of Communication and Informatics
    2025