Research impact
Always aiming to bridge research with real-world impact.
Annas Vijaya is a dynamic Researcher, Lecturer, and Project Manager dedicated to bridging academic research with real-world impact. His work consistently transforms theoretical knowledge into practical solutions in IT strategy, digital transformation, and sustainable innovation.
Currently, as a Lead Researcher at Constructor University, Germany, he exemplifies this commitment by developing an Assessment Framework for ESG (Environment, Social, Governance) and intelligent asset management platforms leveraging knowledge graphs and machine learning. This research directly addresses critical industry needs for sustainability and efficient asset management.
Annas Vijaya’s strong academic foundation, including a PhD in Information Systems & Management and a Master of Information Technology, has led to numerous Q1-ranked journal articles and conference papers.
His PhD thesis, for instance, focuses on “Advancing Environmental, Social, and Governance (ESG) Assessment and Reporting” using cutting-edge methods like ontology and AI.
His two decades of industry experience further underscore his practical impact. As a Senior Project Manager & Solution Architect at PT Astra Graphia Tbk., he successfully led large-scale IT projects across energy, finance, education, and telecommunications sectors, managing significant project values.
He also led AI-driven digital transformation initiatives. In roles as an IT Strategic Advisor at Universities in Indonesia, he implemented international standard frameworks like ITIL and COBIT to align IT with strategic business goals and drive innovation. He was also recognized as “Lecturer of The Year 2014”.
Some Publications
Towards Intelligent and Trustable Digital Twin Asset Management Platform for Transportation Infrastructure Management Using Knowledge Graph and Explainable Artificial Intelligence (XAI)
https://doi.org/10.1109/IEEM58616.2023.10406401
Predictive Analysis of Public Transportation Delays Using Machine Learning Models on GTFS Data
https://doi.org/10.1109/IEEM62345.2024.10857111
Enhancing Transparency in Public Transportation Delay Predictions with SHAP and LIME
https://doi.org/10.1109/IEEM62345.2024.10857000
Advancing Sustainability in the Automotive Sector: A Critica Analysis of Environmental, Social, and Governance (ESG) Performance Indicators
https://doi.org/10.1016/j.cesys.2024.100248
Rating ESG key performance indicators in the airline industry
https://doi.org/10.1007/s10668-023-03775-z
ESGOnt: An Ontology-Based Framework for Enhancing Environmental, Social, and Governance (ESG) Assessments and Aligning with Sustainable Development Goals (SDG)
https://doi.org/10.1016/j.resenv.2025.100262
From Fragmentation to Interoperability: How Semantic Models Transform Environmental, Social, Governance (ESG) Reporting and Sustainability Governance
(coming soon)
Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors
https://doi.org/10.1016/j.promfg.2020.11.056
Identifying Essential Driving Factors of Industry 4.0 Maturity Models Using Fuzzy MCDM Methods
https://doi.org/10.1016/j.procir.2023.09.217
Evaluating the Interrelationships of Driving Factors of Industry 4.0 Maturity Models in Developing Countries using Fuzzy DEMATEL
https://doi.org/10.1109/IEEM58616.2023.10406637
Interdependencies of Industry 4.0 Maturity: Fuzzy MCDA Analysis for Open Innovation in Developing Countries
https://doi.org/10.1016/J.JOITMC.2024.100382
Enhancing Strategy for Industry 4.0 Implementation through Maturity Models and Standard Reference Architectures Alignment
https://doi.org/10.1108/JMTM-07-2022-0269
OntoMat 4.0: An Ontology Framework for Enhanced Industry 4.0 Maturity Assessment
https://doi.org/10.1109/ACCESS.2025.3561229
The impact of Information Technology Governance maturity level on corporate productivity: A case study at an Information Technology services company
https://ieeexplore.ieee.org/document/6140750