プロフィール詳細

プロジェクトを作成

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Dr. Chairul M.に依頼

Indonesia

Mining Engineering Researcher | TBM, Geomechanics & Scientific Publication Specialist

プロフィール概要

Chairul Salam M. is a researcher specializing in data-driven geomechanics and intelligent underground excavation systems, integrating physics-based modeling with machine learning to address uncertainty in rock–machine interaction. His work focuses on TBM performance optimization, energy efficiency modeling, and rock fragmentation analytics using hybrid computational frameworks. He has published in high-impact journals such as Environmental Research and Physics and Chemistry of the Earth, and actively contributes to the scientific community with 38+ peer reviews across Q1 journals including Rock Mechanics and Rock Engineering. His research agenda advances AI-enabled, sustainable, and resilient underground infrastructure systems, aligned with global energy transition challenges.

専門分野

• ★ Data Analysis
• ★ Computer Simulation/Computational Modeling
• ★ Predictive Modeling & Analytics
• ☆ Safety & Reliability Engineering
• ☆ Environmental Engineering and Technology
• ☆ Health & Safety Engineering
• ☆ Industrial Engineering
• ☆ Industrial Operations Research
• ☆ Earth & Atmospheric Science
• ☆ Mining
• ☆ Geological Engineering
• ☆ Mineralogy
• ☆ Environmental Science
• ☆ Environmental Management & Protection
• ☆ Environmental Policy
• ☆ Deforestation
• ☆ Environmental Health
• ☆ Environmental Statistics
• ☆ Decision Science

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Business & Legal Writing, Copywriting, Creative Writing, General Proofreading & Editing, Translation

Research Meta-Research, Feasibility Study, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Digital Strategy Consulting, Scientific and Technical Consulting, Manufacturing Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Formulation, Deformulation, Stability/Shelf Life Testing, Material Sourcing, Concept Development, Reverse Engineering

職務経験

lecturer

Politeknik Batulicin

8月 2023 - 現在

Lecturer

Sumatera Institute of Technology

8月 2016 - 7月 2017

Lecturer

Universitas Pembangunan Nasional Veteran Yogyakarta

7月 2012 - 8月 2014

学歴

Doctorate (Computer Science)

Gadjah Mada University

- 現在

Ph.D (Mining Engineering)

Istanbul Technical University

- 現在

M.T. (Mining Engineering )

Universitas Pembangunan Nasional Veteran Yogyakarta

- 現在

認定資格

• Peer Review Contribution in Q1 International Journals (Scopus Indexed)

  ORCID Verified Reviewer Activity

  https://orcid.org/0009-0006-4338-3138

  1月 2026 - 現在

• Web of Science Peer Review Recognition Certificate

  Clarivate Analytics (Publons / Web of Science Reviewer Program)

  https://orcid.org/0009-0006-4338-3138

  1月 2026 - 現在

出版物

JOURNAL ARTICLE

Chairul Salam M., Maharani Rindu Widara, Ign Mahendradewa Adam, Dewi Tri Wulandari, Orhan Kural (2026). Acquisition setup for rock fragmentation measurement in field conditions . Journal of Engineering and Applied Science.

Chairul Salam M. (2026). Accounting for unobserved heterogeneity, endogeneity, and temporal instability in occupational accident severity modeling . Accident Analysis & Prevention.

An Interpretable Data-Driven Framework for Smart Tunnel Boring Machine Performance Analysis and Energy–Cost Optimization @article{IPI6110153, title = "An Interpretable Data-Driven Framework for Smart Tunnel Boring Machine Performance Analysis and Energy–Cost Optimization", journal = "Institute of Research and Community Outreach - Petra Christian University", volume = "Vol. 28 No. 1 (2026): June 2026", pages = "", year = "2026", url = https://jurnalindustri.petra.ac.id/index.php/ind/article/view/32757/21466 author = "Salam M., Chairul; Khanifa, Arrina", abstract = "Tunnel Boring Machine (TBM) operations are governed by complex and nonlinear interactions among geological variability, machine control parameters, and energy consumption, posing significant challenges for reliable performance prediction and operational optimization. Conventional empirical and physics-based approaches often struggle to capture regime-dependent behavior and parameter coupling under heterogeneous excavation conditions. To address these limitations, this study proposes an integrated and interpretable data-driven framework that combines ensemble machine learning, time-series modeling, unsupervised regime identification, multi-objective optimization, and explainable artificial intelligence within a unified analytical architecture. A multisource dataset encompassing geotechnical, operational, environmental, energy, and economic parameters was analyzed using Extreme Gradient Boosting (XGBoost), Random Forest, Gradient Boosting Regression, and recurrent neural networks. Among these, XGBoost demonstrated superior predictive capability, achieving the highest coefficient of determination and consistently lower prediction errors compared with baseline models. Unsupervised clustering identified distinct operational regimes—efficient, intermediate, and aggressive—enabling a structured evaluation of energy–cost trade-offs. Regime-aware optimization further indicated substantial potential for reducing both energy consumption and operational costs relative to high-intensity operating conditions. Sensitivity analysis using SHAP, mutual information, ANOVA, and Sobol indices revealed strong interaction effects among thrust force, torque, and rock strength parameters, highlighting the coupled nature of TBM excavation mechanics. The proposed framework extends conventional predictive modeling approaches by translating data-driven insights into interpretable, regime-based operational strategies. It provides a scalable methodological foundation for the future development of digital twin applications in TBM systems and contributes to more energy-efficient, cost-effective, and sustainable tunneling operations in complex underground environments.", } . Journal of Industrial Engineering: Research and Application), p-ISSN: 1411-2485, e-ISSN: 2087-7439.

Chairul Salam M., Orhan Kural, Harmiyati Harmiyati, Effiza Rosalia (2026). Toward a just and robust energy transition in Indonesia: A multi-scale, multi-dimensional assessment of coal moratorium and renewable energy integration . Environmental Research.

Salam, M.C., Kural, O., Harmiyati, H., Rosalia, E.(2026). Toward a just and robust energy transition in Indonesia: A multi-scale, multi-dimensional assessment of coal moratorium and renewable energy integration . Environmental Research. 300.

Salam M, C., Widara, M.R., Adam, I.M., Wulandari, D.T., Kural, O.(2026). Acquisition setup for rock fragmentation measurement in field conditions . Journal of Engineering and Applied Science. 73. (1).

Chairul Salam M, Muhammad Rinjani, Orhan Kural, Maharani Rinduwidara, Arrina Khanifa (2025). Enhancing output in open-pit coal mining: The influence of front loading geometry on machinery functionality . Concurrent Engineering.

Chairul Salam M, Hendra Rezkie, Halim, Orhan Kural (2025). Comprehensive geotechnical analysis for urban underground construction in Jakarta . Physics and Chemistry of the Earth, Parts A/B/C.

Salam M, C., Rezkie, H., Halim, Kural, O.(2025). Comprehensive geotechnical analysis for urban underground construction in Jakarta . Physics and Chemistry of the Earth. 141.

Salam, Chairul, Rezkie, Hendra, Halim, Kural, Orhan (2025). Comprehensive geotechnical analysis for urban underground construction in Jakarta . Physics and Chemistry of the Earth.

(2025). Comprehensive geotechnical analysis for urban underground construction in Jakarta . PHYSICS AND CHEMISTRY OF THE EARTH.

Salam M, C., Rinjani, M., Kural, O., Rinduwidara, M., Khanifa, A.(2025). Enhancing output in open-pit coal mining: The influence of front loading geometry on machinery functionality . Concurrent Engineering Research and Applications.

Salam M, Chairul, Rinjani, Muhammad, Kural, Orhan, Rinduwidara, Maharani, Khanifa, Arrina (2025). Enhancing output in open-pit coal mining: The influence of front loading geometry on machinery functionality . Concurrent Engineering.

Salam M, C., Rinjani, M., Kural, O., Rinduwidara, M., Khanifa, A. (2025). Enhancing output in open-pit coal mining: The influence of front loading geometry on machinery functionality . Concurrent Engineering.