Innovative Research Award
Baharuddin Mide
Universitas Ichsan Sidenreng Rappang, Indonesia
Baharuddin Mide is an academic researcher affiliated with Universitas Ichsan Sidenreng Rappang, Indonesia. His research profile is associated with the subject area of Informatics and includes scholarly work relevant to computational approaches, data analysis, and technology-enabled research. His documented research activity provides a basis for examining his academic contributions, publication record, and potential relevance to the Innovative Research Award. The profile identifies his Scopus author record and ORCID researcher identifier as resources for academic verification. [1] [2]
Abstract
This academic profile presents the research background and scholarly contributions of Baharuddin Mide, affiliated with Universitas Ichsan Sidenreng Rappang, Indonesia. Identified within the field of Informatics, his research activities provide a foundation for exploring the application of computational methods and information technologies to contemporary research challenges. An identifiable example of his scholarly work is the study titled Probabilistic Machine Learning Early Warning for Urban PM2.5 in SEA Cities, which examines a machine-learning-based framework for predicting air-quality threshold exceedances in selected Southeast Asian cities. The study illustrates the relevance of computational research to environmental monitoring and public-interest applications.[1] [2]
Keywords
Baharuddin Mide; Innovative Research Award; Informatics; Machine Learning; Computational Research; Environmental Monitoring; Air Quality Prediction; PM2.5; Data Analytics; Southeast Asian Research; Academic Innovation; Research Impact.
Introduction
Informatics has become an important foundation for contemporary scientific investigation, supporting the development of computational models, data-driven decision-making, intelligent information systems, and interdisciplinary research methodologies. Its applications extend across environmental science, healthcare, engineering, agriculture, and other areas in which complex information must be processed and interpreted. Researchers working in this field contribute to the development of analytical approaches that can improve the accessibility, reliability, and practical application of scientific knowledge.
Research Profile
Baharuddin Mide’s academic profile is associated with Universitas Ichsan Sidenreng Rappang, an Indonesian higher education institution. His stated subject area is Informatics, a discipline concerned with the systematic processing, management, analysis, and application of information through computational and technological methods.
Research Contributions
Research contributions in Informatics frequently involve the development of analytical frameworks, computational techniques, and information-processing systems that address practical challenges. The available publication record associated with Baharuddin Mide provides an example of this interdisciplinary orientation through the application of probabilistic machine learning to urban air-quality prediction. [3]
Publications
Scholarly publications provide an important basis for evaluating research activity, documenting methodological development, and communicating findings to the academic community. The supplied profile reports two documents associated with the researcher. The following independently identifiable publication provides an example of the research themes represented in the available record. [1] [2]
The reported total of two documents is retained as supplied profile information. The complete second publication record, its DOI, and its bibliographic details should be confirmed against the researcher’s live Scopus record before inclusion in a formal publication list.
Research Impact
The potential impact of Informatics research can be assessed through scholarly communication, methodological innovation, interdisciplinary collaboration, and practical applications. In environmental research, computational models may support the interpretation of complex monitoring data and improve the ability to identify patterns that require further investigation.
Award Suitability
The Innovative Research Award provides a framework for considering research originality, technical development, scholarly communication, and the relevance of academic work to contemporary challenges. Within this context, Baharuddin Mide’s documented research activity offers material for evaluating the relationship between Informatics and applied interdisciplinary investigation. [3] [4]
Conclusion
Baharuddin Mide’s academic profile represents research activity in Informatics through his affiliation with Universitas Ichsan Sidenreng Rappang, Indonesia. His identified research on probabilistic machine learning for urban PM2.5 early warning illustrates the application of computational methods to environmental challenges and provides an example of interdisciplinary scholarly investigation.[1] [5]
External Links
References
- Elsevier. (n.d.). Scopus author details: Baharuddin Mide, Author ID 60440172200. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60440172200
- ORCID. (n.d.). Baharuddin Mide – ORCID researcher identifier 0000-0001-7435-1354. ORCID.
https://orcid.org/0000-0001-7435-1354
- Baharuddin Mide et al. (2026). Probabilistic Machine Learning Early Warning for Urban PM2.5 in SEA Cities. RESTI (Rekayasa Sistem dan Teknologi Informasi). DOI: 10.29207/resti.v10i7199.
https://jurnal.iaii.or.id/index.php/RESTI/article/view/7199
- B Mide, D Tribuana, U Sattar, D Dayanti. (2026). Explainable rice yield from Sentinel-1 and Sentinel-2 satellite data for food security.
https://ijai.iaescore.com/index.php/IJAI/article/view/30454
- International Environmental Scientists Award. (n.d.). Award Nomination Guidelines and Eligibility Criteria. Official Nomination Website.
https://environmentalscientists.org/award-nomination/