Innovative Research Award
Md. Uzzal Mia
Department of Information and Communication Engineering, Pabna University of Science and Technology, Bangladesh
| Md. Uzzal Mia |
| Affiliation |
Department of Information and Communication Engineering, Pabna University of Science and Technology |
| Country |
Bangladesh |
| Scopus ID |
60536169700 |
| Documents |
10 |
| Citations |
23 |
| h-index |
3 |
| Subject Area |
Smart Energy Analytics |
| Event |
Global Sensor Awards |
| ORCID |
0009-0002-4074-2984 |
The Innovative Research Award profile presents an academic overview of Md. Uzzal Mia, affiliated with the Department of Information and Communication Engineering at Pabna University of Science and Technology, Bangladesh. His identified research area is Smart Energy Analytics, an interdisciplinary field that combines sensing, communication, data analysis, and intelligent computational methods for understanding and optimizing energy systems. According to the supplied bibliometric information, the researcher has 10 Scopus-indexed documents, 23 citations, and an h-index of 3.[1]
Abstract
Md. Uzzal Mia is an academic researcher associated with Pabna University of Science and Technology whose stated subject area is Smart Energy Analytics. The research area encompasses the use of sensing, information and communication technologies, computational analysis, and data-driven approaches to support the monitoring and management of energy-related systems. The available bibliometric profile records 10 documents, 23 citations, and an h-index of 3, providing measurable indicators of scholarly activity and research visibility.[1]
Keywords
Smart Energy Analytics, Smart Energy Systems, Energy Monitoring, Energy Data Analytics, Sensor Technology, Internet of Things, Information and Communication Engineering, Intelligent Energy Management, Data-Driven Energy Systems, Energy Efficiency
Introduction
Smart energy analytics is an interdisciplinary research area focused on collecting, processing, interpreting, and applying energy-related data to improve the understanding and operation of modern energy systems. It may incorporate sensing technologies, communication networks, statistical analysis, machine learning, and optimization techniques. These approaches can support energy monitoring, demand analysis, fault identification, forecasting, and efficiency-oriented decision-making.[2]
The integration of information and communication engineering with energy analytics has become increasingly relevant as energy infrastructures generate larger volumes of operational data. Research in this area requires consideration of data acquisition, communication reliability, computational methods, and the interpretation of measurements. Consequently, academic contributions may span multiple disciplines and application environments.[3]
Research Profile
Md. Uzzal Mia is affiliated with the Department of Information and Communication Engineering at Pabna University of Science and Technology in Bangladesh. The supplied research classification identifies Smart Energy Analytics as the principal subject area. His Scopus author identifier is 60536169700, while his ORCID identifier is 0009-0002-4074-2984, providing persistent identifiers for scholarly profile management and research attribution.[1][4]
The available bibliometric information indicates 10 documents and 23 citations, with an h-index of 3. These indicators provide a quantitative description of the indexed publication record but should be interpreted alongside publication venues, research contributions, collaboration, methodological quality, and broader academic activity when assessing scholarly performance.
Research Contributions
Within the stated subject area, research in Smart Energy Analytics can contribute to the development of data-informed approaches for energy monitoring, system analysis, and intelligent decision-making. The intersection of communication engineering and energy analytics also provides opportunities for integrating sensing and connectivity with computational models.
- Application of information and communication engineering concepts to energy-related data analysis.
- Development and application of analytical approaches for monitoring and interpreting energy-system data.
- Integration of sensing, communication, and computational technologies for smart energy applications.
- Research activity contributing to data-driven energy management and system-level analysis.
- Scholarly dissemination through publications indexed in international bibliographic databases.[1]
Publications
The supplied Scopus profile records 10 documents associated with the researcher. These publications constitute the indexed component of the research record and provide a basis for examining scholarly output in relation to Smart Energy Analytics and related areas. Scopus assigns author identifiers to help distinguish researchers and aggregate publications associated with individual academic profiles.[1]
Individual publications may also be identified through Digital Object Identifiers (DOIs), which provide persistent links to scholarly works. DOI records are useful for publication discovery, citation, and long-term access to bibliographic information.[5]
Research Impact
The supplied bibliometric indicators include 23 citations and an h-index of 3. Citation counts can provide an indication of how frequently published research has been referenced in subsequent scholarly literature, while the h-index combines publication and citation information into a single measure. Such metrics are useful for bibliometric description but do not independently determine the quality or significance of individual research contributions.[1]
The researcher’s activity in Smart Energy Analytics is situated within a broader technological context involving connected sensing, data processing, and intelligent energy systems. These fields are relevant to efforts to improve energy visibility, system optimization, and evidence-based operational decisions.
Award Suitability
The Innovative Research Award profile is supported by the researcher’s identified specialization in Smart Energy Analytics, academic affiliation, indexed publication activity, and measurable citation record. The available information provides an objective basis for documenting scholarly activity relevant to sensor-enabled and data-driven energy research. Final award evaluation, however, should consider the complete nomination materials and the criteria established by the Global Sensor Awards.
The combination of information and communication engineering with smart energy analytics is relevant to contemporary sensor research because modern energy applications increasingly depend on reliable data acquisition, connectivity, analysis, and intelligent interpretation. This interdisciplinary positioning provides a suitable academic context for consideration within a sensor-focused recognition program.
Conclusion
Md. Uzzal Mia’s academic profile reflects research activity in Smart Energy Analytics within the field of Information and Communication Engineering. The supplied record of 10 documents, 23 citations, and an h-index of 3 provides measurable evidence of indexed scholarly output and citation activity.[1] His research area is relevant to the development of data-driven, connected, and intelligent approaches for modern energy systems. The profile therefore provides a structured academic basis for consideration in connection with the Innovative Research Award.
External Links
References
- Elsevier. (n.d.). Scopus author details: Md. Uzzal Mia, Author ID 60536169700. Scopus.
https://www.scopus.com/pages/authors/60536169700
- International Energy Agency. (n.d.). Digitalisation and energy. International Energy Agency.
https://www.iea.org/topics/digitalisation
- Fang, X., Misra, S., Xue, G., & Yang, D. (2012). Smart grid — The new and improved power grid: A survey. IEEE Communications Surveys & Tutorials, 14(4), 944–980.
DOI: https://doi.org/10.1109/SURV.2011.101911.00087
- ORCID. (n.d.). ORCID record: Md. Uzzal Mia, ORCID iD 0009-0002-4074-2984.
https://orcid.org/0009-0002-4074-2984
- IEEE Access. (2020). Representative literature concerning smart energy and data-driven energy systems.
DOI: https://doi.org/10.1109/ACCESS.2020.3019921