Curriculum Vitae · 2026 Edition

Dr. H. Benrahman

B.Sc., S.Kom., MMSI., CPS

Computational Intelligence scholar, technology leader, educator, and builder with more than 38 years of cross-sector experience bridging industry, academia, research, and real-world AI implementation.

Computational IntelligenceAI OptimizationAgentic AI & LLMsAI for Society
benrahman.com
Portrait of Dr. H. Benrahman
Professional Identity

Profile

Ben Rahman earned his Bachelor’s degree in 2012 and Master’s degree in 2017 in Information Systems from Bina Nusantara University, and completed his Ph.D. in Computer Science at the same institution in 2024. Before entering academia, he developed extensive professional experience across multinational technology environments, holding engineering and leadership roles in several countries. Since 2018, he has served as a faculty member at Universitas Nasional, Indonesia.

His central expertise is Computational Intelligence, including machine learning, deep learning, hybrid intelligent systems, AI optimization, Medical AI, Agentic AI, and LLM-based systems. His research trajectory connects biomedical signal intelligence, business intelligence, and educational intelligence, with an emphasis on impactful and culturally grounded AI systems.

“Learning. Building. Sharing. Knowledge grows through harmony, not hierarchy.”
38+Years in IT
2018Faculty Since
2024Ph.D. Completed
Q1-Q3Indexed Research
Foundation

Education & Experience

Educational Background

2024

Ph.D. in Computer Science

Universitas Bina Nusantara

2017

MMSI in Information Systems

Universitas Bina Nusantara

2012

S.Kom. in Information Systems

Universitas Bina Nusantara

1987

B.Sc. in Management Information Systems

AMIK YPTK Padang

2025

Certified Productivity Specialist (CPS)

Asian Productivity Organization

Professional Experience

1987-1992

Programmer & System Analyst

PT Semen Padang

1992-1996

IT Supervisor

Alcatel Cable

1996-1998

Head of IT Department

PT South Pacific Viscose

1998-2006

Assistant IT Manager

International SOS

2006-2018

ICT Manager

Medika Plaza

2024-2027

Director of Innovation and Technology

APPRODI

2025-2028

Chair, IKA-DCS

Bina Nusantara University

Research Track Record

Selected Publications

Enhancing Spatial-Temporal Crime Forecasting Using Machine Learning for Law Enforcement Q1 Scopus
IEEE Access, 2026. DOI: 10.1109/ACCESS.2026.3706026.
AI-based sagittal spinal posture assessment for adolescent screening in low-resource school settings Q1 Scopus
Scientific Reports, 2026. DOI: 10.1038/s41598-026-36634-8.
IDChat: Toward a universal, multi-biometric digital identity for next-generation secure communication in ASEAN Q1 Scopus
IEEE Access, 2026. DOI: 10.1109/ACCESS.2025.3645071.
Optimizing Customer Satisfaction Through Sentiment Analysis: A BERT-Based Machine Learning Approach to Extract Insights Q1 Scopus
IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3478835.
Optimizing plant watering efficiency via IoT: Fuzzy Sugeno method with ESP8266 microcontroller Q3 Scopus
TEM Journal, 13(3), 1849-1857, 2024. DOI: 10.18421/TEM133-13.
Detection of Student Sleepiness Using U-Net and Conv-LSTM Methods to Improve Learning Quality
ICTECA, 2023. DOI: 10.1109/ICTECA60133.2023.10490499.
Development of an Image-Based Road Pothole Detection Model with U-Net Implementation
ICCED, 2023. DOI: 10.1109/ICCED60214.2023.10425723.
Heart Disease Classification Model Using K-Nearest Neighbor Algorithm
ICIC, 2021. DOI: 10.1109/ICIC54025.2021.9632918.
Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models
arXiv:2503.19276.
Electrocardiogram Abnormal Detection Model Using Machine Learning Approach
ICIC Express Letters Part B, 14(8), 779-786, 2023. DOI: 10.24507/icicelb.14.08.779.
PPO-BR: Proximal Policy Optimization with Bias Rectification for Reinforcement Learning in Noisy Feedback Environments
arXiv:2505.17714.
HOT-FIT-BR: A Context-Aware Evaluation Framework for Digital Health Systems in Resource-Limited Settings
arXiv:2505.20585, 2025.
Leadership & Knowledge Contribution

Impact, Books & Training

Academic Positions

2018-Present

Universitas Nasional

Lecturer

2014-Present

Universitas Bakrie

Lecturer

2017-2019

Politeknik Negeri Jakarta

Lecturer

2017-2019

Sekolah Tinggi Teknologi Jakarta

Lecturer

Notable Contributions

  • Chairman of IKA-DCS (2025-2028), advancing AI-driven alumni collaboration.
  • Director of Innovation and Technology at APPRODI.
  • Director of Research Development and Innovation at IAIS.
  • Pioneer of PPO-BR and TATAP AI.
  • Reviewer and research mentor for IEEE, higher education grants, and AI books.

Books & Chapters

  • Master Plan Produktivitas Nasional (2025).
  • R Programming for AI & Data Science (2025).
  • Future Jakarta - IoT for traffic congestion (2024).
  • The Convergence of Extended Reality and Metaverse in Agriculture (IGI, 2025).
  • Data Mining - health and medical applications (2025).
  • Kecerdasan Artifisial - introductory chapter (2026).

Professional Certification & Training

Certified Productivity Specialist (CPS), Asian Productivity Organization. Applies Computational Intelligence to workforce development and AI-driven productivity training for manufacturing, services, industry, and higher education.

Professional Impact

Bridges advanced AI innovation and real-world deployment to strengthen inclusive communities, national productivity, and academic-industrial transformation in Indonesia.

Public Engagement

Keynote & Invited Speaking

Dr. Ben Rahman is invited to national and international events for his work in emerging technologies, Artificial Intelligence, Computational Intelligence, and productivity-driven transformation.

22-23 NOVEMBER 2024 · DEHRADUN, INDIA

Keynote Speaker - International Symposium on Recent Trends on Emerging Technology 4.0

Opening keynote on Agentic AI and Productivity-Driven Innovation.

NATIONAL & INTERNATIONAL FORUMS

Featured Speaker and Research Mentor

Seminars, research bootcamps, professional associations, and policy-oriented institutions.

Complex technology becomes meaningful when people can understand it, use it, and transform it into measurable impact.