Best Researcher Award

Giorgia Ghione

Institution: Barcelona Supercomputing Center, Italy

The Best Researcher Award recognizes researchers who have demonstrated consistent scholarly contributions within their respective disciplines through peer-reviewed publications, scientific collaboration, and measurable research impact. Giorgia Ghione, affiliated with the Barcelona Supercomputing Center, has contributed to engineering research involving intelligent electrical systems, machine learning, digital twins, and power electronics. Her scholarly profile reflects ongoing participation in contemporary engineering research and publications indexed through international academic databases.[1]

Abstract

Giorgia Ghione’s engineering research focuses on the application of artificial intelligence, neural networks, digital twins, electrical drives, and intelligent forecasting methods for modern energy systems. Published research demonstrates an emphasis on computational modeling and data-driven optimization of electrical infrastructure. These contributions support advances in reliable, efficient, and interpretable engineering solutions while maintaining scientific rigor through peer-reviewed dissemination.[2]

Keywords

Engineering, Artificial Intelligence, Electric Load Forecasting, Digital Twins, Electrical Drives, Machine Learning, Power Electronics, Neural Networks

Introduction

Engineering research increasingly integrates artificial intelligence with advanced computational modeling to improve prediction accuracy, operational efficiency, and sustainability. Researchers working within this interdisciplinary domain contribute to innovations in energy systems, intelligent automation, and digital infrastructure. Giorgia Ghione’s publications illustrate engagement with these evolving research directions through investigations of interpretable forecasting models, neural digital twins, and intelligent converter identification methods.[3]

Research Profile

According to the available Scopus profile, Giorgia Ghione has authored 11 indexed publications with 21 citations and an h-index of 3. Her work is primarily associated with engineering research, emphasizing computational intelligence, electrical engineering, and machine learning applications. The Barcelona Supercomputing Center provides an environment supporting interdisciplinary computational research relevant to these scientific activities.[1]

Research Contributions

• Development of interpretable artificial intelligence techniques for short-term electric load forecasting.
• Research involving neural real-time digital twins for electrical drive systems.
• Machine learning applications using GRU neural networks for parameter identification.
• Integration of computational intelligence with modern power electronic systems.
• Contribution to peer-reviewed engineering literature and collaborative scientific research.

Publications

1. Interpretable Short-Term Electric Load Forecasting. Advanced Intelligent Systems, 2026. DOI: 10.1002/aisy.70473.
2. Enhanced Neural Real-Time Digital Twin for Electrical Drives. Applied Sciences, 2026. DOI: 10.3390/app16083955.
3. Passive Parameters Identification of a Three-Phase AC–DC Converter via a GRU Network and Derivative Approximations. Book Chapter, 2026. DOI: 10.1007/978-981-95-4072-3_25.

Research Impact

The available publication and citation record indicates measurable scholarly engagement within engineering research. Contributions addressing intelligent forecasting, digital twins, and machine learning for electrical systems have potential relevance for both academic investigation and industrial applications. Citation metrics, publication output, and interdisciplinary collaboration collectively demonstrate continuing participation in internationally indexed engineering research.[1]

Award Suitability

Based on the documented publication record, engineering specialization, indexed scholarly output, and contributions to intelligent computational methods, Giorgia Ghione demonstrates qualifications consistent with consideration for the Best Researcher Award. Evaluation remains subject to the award committee’s independent review of publication quality, scientific impact, originality, professional service, and broader research contributions within the applicable assessment criteria.

Conclusion

Giorgia Ghione’s academic profile reflects active participation in engineering research focused on intelligent computational techniques for modern electrical systems. Her publications, citation record, and institutional affiliation collectively illustrate sustained scholarly activity within emerging technological domains. These achievements provide an evidence-based foundation for consideration within academic recognition programs dedicated to research excellence.[1]

External Links

• Scopus Profile
• Google Scholar
• ORCID

References

1. Elsevier. (n.d.). Scopus author details: Giorgia Ghione, Author ID 58529505300. Scopus.
   https://www.scopus.com/pages/authors/58529505300#
2. Ghione, G. (2026). Interpretable Short-Term Electric Load Forecasting. Advanced Intelligent Systems.
   DOI: https://doi.org/10.1002/aisy.70473
3. Ghione, G. (2026). Enhanced Neural Real-Time Digital Twin for Electrical Drives. Applied Sciences.
   DOI: https://doi.org/10.3390/app16083955
4. Ghione, G. (2026). Passive Parameters Identification of a Three-Phase AC–DC Converter via a GRU Network and Derivative Approximations.
   DOI: https://doi.org/10.1007/978-981-95-4072-3_25

Best Research Article Award

Mingchia Lin
National Academy for Educational Research, Taiwan

The Best Research Article Award recognizes scholarly excellence demonstrated through high-quality academic publications that contribute meaningfully to knowledge advancement and evidence-based practice. Mingchia Lin of the National Academy for Educational Research has established a research portfolio centered on English as a Foreign Language (EFL), bilingual education, academic writing assessment, learner motivation, oral presentation, and social-emotional learning. The published work reflects interdisciplinary educational research with practical implications for language education and curriculum development.[1]

Abstract

Mingchia Lin’s scholarly publications examine pedagogical innovation in bilingual and English language education, emphasizing oral communication, academic writing, learner motivation, inquiry-based learning, and social-emotional development. Through quantitative and mixed-method research methodologies, these studies evaluate instructional strategies that improve language proficiency while supporting learners’ engagement and academic performance. The research contributes to evidence-informed educational practices and aligns with contemporary developments in multilingual education and educational psychology.[2]

Keywords

English as a Foreign Language (EFL), Bilingual Education, Academic Writing, Oral Presentation, Social-Emotional Learning, Educational Psychology, Inquiry-Based Learning

Introduction

Educational research increasingly emphasizes integrated language instruction that promotes communication, critical thinking, and learner well-being. Mingchia Lin’s publications investigate these themes through empirical studies involving bilingual education, classroom assessment, motivation, and presentation competence. The research demonstrates how instructional design can positively influence students’ language achievement and future learning choices while maintaining rigorous assessment standards.[3]

Research Profile

As a researcher affiliated with the National Academy for Educational Research, Mingchia Lin has contributed publications within the Social Sciences discipline indexed in Scopus. The research portfolio focuses on language education, bilingual instructional design, educational assessment, learner engagement, and evidence-based pedagogical innovation. Current bibliometric indicators include seven indexed publications, fifteen citations, and an h-index of two.[1]

Research Contributions

• Advanced research on oral presentation performance within bilingual EFL learning environments.
• Evaluation of social-emotional learning integration into language education.
• Investigation of motivational factors influencing summary-writing and CLIL participation.
• Application of latent regression modeling for research abstract writing assessment.
• Empirical analysis of argumentation-based inquiry and willingness-to-communicate in EFL classrooms.

Publications

1. Oral presentation and social-emotional learning in EFL bilingual projects. Acta Psychologica, 2026. DOI: 10.1016/j.actpsy.2026.107414
2. Contextual antecedents and motivational mediators in EFL summary-writing and future CLIL course choices. Cogent Education, 2025. DOI: 10.1080/2331186X.2025.2510101
3. Exploring the effects of argumentation-based inquiry in dual-language courses on EFL students’ oral presentation skills and willingness-to-communicate. Cogent Education, 2024. DOI: 10.1080/2331186X.2024.2429873
4. Validating Research-Abstract Writing Assessment Through Latent Regression Modeling and Rater’s Lenses. English Teaching & Learning, 2019. DOI: 10.1007/s42321-019-00030-5

Research Impact

The research demonstrates measurable contributions to bilingual education, learner communication, educational assessment, and instructional innovation. Published findings support educators seeking evidence-based approaches for improving language acquisition, academic writing quality, and learner motivation. The interdisciplinary nature of the publications connects educational psychology with practical classroom implementation, thereby supporting sustainable improvements in language education.[4]

Award Suitability

Mingchia Lin’s publication record reflects consistent scholarly engagement with contemporary issues in language education and educational research. The combination of peer-reviewed journal publications, methodological rigor, educational relevance, and measurable scholarly visibility supports consideration for recognition through the Best Research Article Award. The body of work demonstrates sustained contributions to improving language learning outcomes through research-informed educational practice.[5]

Conclusion

The academic publications of Mingchia Lin represent meaningful contributions to Social Sciences through research on bilingual education, EFL pedagogy, assessment methodologies, and learner development. Collectively, the research supports educational innovation while providing empirical evidence that benefits researchers, educators, and policy stakeholders interested in effective language instruction and assessment.

External Links

• ORCID Profile
• Scopus Profile

References

1. Elsevier. (n.d.). Scopus author details: Mingchia Lin, Author ID 56175238000. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=56175238000
2. Lin, M. (2026). Oral presentation and social-emotional learning in EFL bilingual projects. Acta Psychologica.
   https://doi.org/10.1016/j.actpsy.2026.107414
3. Lin, M. (2025). Contextual antecedents and motivational mediators in EFL summary-writing and future CLIL course choices. Cogent Education.
   https://doi.org/10.1080/2331186X.2025.2510101
4. Lin, M. (2024). Exploring the effects of argumentation-based inquiry in dual-language courses on EFL students’ oral presentation skills and willingness-to-communicate. Cogent Education.https://doi.org/10.1080/2331186X.2024.2429873
5. Lin, M. (2019). Validating Research-Abstract Writing Assessment Through Latent Regression Modeling and Rater’s Lenses. English Teaching & Learning.https://doi.org/10.1007/s42321-019-00030-5