Ignacio Aguaded | Educational Data Analysis | Best Researcher Award

Dr. Ignacio Aguaded | Educational Data Analysis | Best Researcher Award

University of Huelva | Spain

Dr. Ignacio Aguaded is a Full Professor at the University of Huelva (Spain) and a leading scholar in Educommunication, Media Literacy, and Educational Technology. He holds a PhD in Psychopedagogy (University of Huelva), a degree in Pedagogy (UNED), a degree in Hispanic Philology (University of Seville), and a Diploma in Teaching (University of Seville). With more than four decades of academic experience, he began as a primary school teacher and progressed through positions in the University of Seville, the Ministry of Education of Andalusia, and the University of Huelva, where he has served since 1993. He is the founding president of Grupo Comunicar and Chief Editor of the high-impact journal Comunicar (indexed JCR-Q1, Scopus Q1), recognized among the top worldwide in cultural studies. His research productivity is remarkable, with over 178 scientific papers, 47 books, and 139 book chapters, accumulating more than 1807 citations and an h-index 23. He has coordinated numerous national, European, and Latin American research projects, supervised 48 PhD theses, and led the Euro-American Alfamed Research Network. Recipient of prestigious awards, including the UNESCO World Prize (2022), Ibero-American Communication Award (2022), and Best Researcher Award (2015), Dr. Aguaded continues to shape global research and practice in media education and literacy.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

“Decoding the Enigma of a Digital Platform Transfer: Research-Based Design and Complex Thinking”

“DIG-HE Digital Transformation Model in Higher Education: An Implementation Model”

“Spanish universities in the Shanghai ranking in education (2022–2024)”

“Explorando la intersección entre tecnologías IA y alfabetización mediática en personas de edad avanzada”

“Media competence in the early, primary and secondary education curriculum: presence and progression in Latin America”

Sivasankari Ramalingam | Research article Recommendation | Women Researcher Award

Mrs Sivasankari Ramalingam - SRM institute of science and technology - Research article Recommendation

Mrs Sivasankari Ramalingam : Research article Recommendation

Professional profile:

Early Academic Pursuits:

Sivasankari R. embarked on her academic journey with a Bachelor's degree in Computer Science from Fatima College, Madurai, in 2011. She continued her education by pursuing a Master's in Computer Applications (M.C.A) at Velammal College of Engineering and Technology, Madurai, graduating in 2014. Her commitment to academic excellence led her to further pursue a Ph.D. in Computer Science at SRM Institute of Science and Technology, Chennai, with a research focus on Data Mining and Knowledge Graph.

Professional Endeavors:

Sivasankari R. has demonstrated her dedication to academia by taking on the role of an Assistant Professor at the Department of Computer Science and Applications, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, from June 2018 to March 2020. In this capacity, she taught courses such as Social Network Analysis, Android Application Development, and Cloud Computing to postgraduate students.

Currently, she is engaged in advanced research as a Research Scholar in the same department at SRM Institute of Science and Technology, Ramapuram Campus, since February 2021. Her focus area includes Text Mining and Recommendation Systems.

Contributions and Research Focus:

Sivasankari's research contributions are noteworthy, with publications in reputed journals and chapters in recognized books. Notable works include a Scopus-indexed journal article titled "Hybrid scientific article recommendation system with COOT optimization" and a Scopus-indexed book chapter on the "Impact of Machine Learning Algorithms in Decision-Making With Serious Games in the Education and Healthcare Sectors."

Her research extends to areas like scientific paper recommendation systems, machine learning algorithms in decision-making, and content-based filtering algorithms for computer science research article recommendations. Additionally, she has contributed to the understanding of email classification based on user preference ontology and Naïve Bayes Theorem.

Accolades and Recognition:

Sivasankari has earned certifications in "Database Management System" and "Introduction to Internet of Things" through NPTEL, showcasing her commitment to staying updated with evolving technologies. Furthermore, she qualified as an Assistant Professor in UGC Net in 2018.

Impact and Influence:

As both a teacher and a researcher, Sivasankari has made a positive impact on her students and the academic community. Her research addresses contemporary challenges in computer science, contributing to the development of recommendation systems and decision-making processes.

Legacy and Future Contributions:

Sivasankari's legacy lies in her dual role as an educator and researcher. Her current focus on text mining and recommendation systems is poised to contribute significantly to the advancement of these fields. As she continues her research pursuits and teaching endeavors, she is likely to leave a lasting impact on the field of computer science and inspire future generations of students.

Notable Publications: