Innovative Research Award
Alexandra Bousia – University of Thessaly
| Alexandra Bousia | |
|---|---|
| Affiliation | University of Thessaly |
| Country | Greece |
| Scopus ID | 55508303200 |
| Documents | 333 |
| Citations | 459 |
| h-index | 9 |
| Subject Area | Data Analysis Techniques |
| Event | Global Energy Awards |
| ORCID | 0000-0002-0292-6187 |
The Innovative Research Award recognizes the scholarly contributions of Alexandra Bousia, whose academic work at the University of Thessaly reflects a focused engagement with data analysis techniques and intelligent systems. Her research integrates analytical frameworks with emerging energy technologies, particularly electric vehicle ecosystems. These contributions have been acknowledged through citations and indexed publications, indicating steady academic influence within multidisciplinary domains.[1]
Contents
Abstract
This article presents an academic overview of Alexandra Bousia’s contributions within the domain of data-driven energy systems and intelligent modeling techniques. The recognition under the Innovative Research Award highlights her role in advancing analytical frameworks applicable to electric vehicle networks and energy trading environments. The work emphasizes interdisciplinary integration, combining data analytics with computational modeling approaches.[2]
Keywords
- Data Analysis Techniques
- Electric Vehicles
- Energy Trading
- Business Intelligence
- Wireless Networks
Introduction
Modern research in energy systems increasingly relies on data-centric methodologies and computational optimization techniques. Alexandra Bousia’s academic work contributes to this field by addressing challenges in electric vehicle charging and energy distribution systems. Her studies emphasize practical applications of analytics within sustainable energy infrastructures.[3]
Research Profile
The research profile of Alexandra Bousia reflects consistent academic engagement across multiple peer-reviewed journals and collaborative studies. Her Scopus-indexed publications demonstrate interdisciplinary expertise, combining statistical modeling with applied engineering solutions. This profile indicates a structured approach to problem-solving in technological systems.[1]
Research Contributions
Key contributions include the development of auction-based pricing models for energy trading and the application of business intelligence tools in electric vehicle technologies. These contributions support optimization of resource allocation and operational efficiency. Her work integrates theoretical models with real-world energy network applications.[4]
Publications
- The Use of Business Intelligence and Analytics in Electric Vehicle Technology (2026)
- Electric Vehicle Charging: A Business Intelligence Model (2025)
- An Auction Pricing Model for Energy Trading in EV Networks (2023)
- Double Auction Offloading for Wireless Networks (2022)
- Electric Vehicles Charging Working Paper (2025)
Research Impact
The measurable research impact is reflected in citation counts and the adoption of analytical models in related academic studies. Her work contributes to the advancement of intelligent energy systems and supports further research in sustainable technologies. The interdisciplinary approach enhances applicability across engineering and computational sciences.[5]
Award Suitability
The Innovative Research Award aligns with Alexandra Bousia’s contributions to energy analytics and intelligent system modeling. Her research demonstrates relevance to global energy challenges and supports innovation in electric vehicle ecosystems. The selection reflects recognition of consistent scholarly output and applied research relevance.
Conclusion
In conclusion, Alexandra Bousia’s academic contributions represent a meaningful integration of data analysis techniques with emerging energy technologies. Her work supports ongoing advancements in sustainable systems and intelligent infrastructure. The recognition through the Innovative Research Award highlights the importance of interdisciplinary research in modern scientific development.
External Links
References
- Elsevier. (n.d.). Scopus author details: Alexandra Bousia, Author ID 55508303200. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55508303200 - Bousia, A. (2026). The Use of Business Intelligence and Analytics in Electric Vehicle Technology. Electronics.
https://doi.org/10.3390/electronics15020366 - Bousia, A. (2025). Electric Vehicle Charging: A Business Intelligence Model. World Electric Vehicle Journal.
https://doi.org/10.3390/wevj16090531 - Bousia, A., Daskalopulu, A., & Papageorgiou, E. (2023). An Auction Pricing Model for Energy Trading in Electric Vehicle Networks. Electronics.
https://doi.org/10.3390/electronics12143068 - Bousia, A., Daskalopulu, A., & Papageorgiou, E. (2022). Double Auction Offloading for Energy and Cost Efficient Wireless Networks. Mathematics.
https://doi.org/10.3390/math10224231