Pablo Vigara | AI in Education | Innovative Research Award

Innovative Research Award

Pablo Vigara
Affiliation Universidad Politécnica de Madrid
Country Spain
Scopus ID 59217744000
Documents 3
Subject Area AI in Education
Event International AI Data Scientist Award
ORCID 0009-0003-6572-6697

Pablo Vigara
Universidad Politécnica de Madrid

Pablo Vigara, affiliated with Universidad Politécnica de Madrid, Spain, has contributed to the growing field of Artificial Intelligence in Education through scholarly research focused on the application of intelligent technologies within academic and learning environments. His research profile reflects an interest in advancing educational methodologies by integrating data-driven approaches, machine learning techniques, and innovative digital learning frameworks. Such work aligns with contemporary developments in educational technology and the broader transformation of teaching and learning practices through artificial intelligence.[1]

Abstract

This article presents an overview of the academic profile and research activities of Pablo Vigara in the field of Artificial Intelligence in Education. His scholarly work explores the integration of intelligent systems into educational settings, emphasizing digital transformation, adaptive learning environments, and technology-enhanced teaching strategies. The research contributes to the ongoing development of innovative educational solutions supported by artificial intelligence and data analytics.[1]

Keywords

Artificial Intelligence in Education, Educational Technology, Machine Learning, Digital Learning, Learning Analytics, Adaptive Education, Data-Driven Learning, Intelligent Systems.

Introduction

Artificial Intelligence has become a significant area of innovation within modern educational systems. Researchers worldwide are investigating methods to improve learning outcomes, optimize educational resources, and create personalized learning experiences. Within this context, Pablo Vigara’s academic work contributes to understanding how intelligent technologies can support effective educational practices and digital transformation initiatives.[2]

Research Profile

Based at Universidad Politécnica de Madrid, Pablo Vigara has developed a research profile focused on educational innovation and artificial intelligence applications. His scholarly publications demonstrate engagement with interdisciplinary approaches that combine computing, educational sciences, and data analysis. Such research supports evidence-based decision-making and contributes to advancing technology-enabled learning environments.[1]

Research Contributions

  • Application of artificial intelligence methodologies in educational contexts.
  • Support for digital transformation initiatives in teaching and learning.
  • Investigation of data-driven educational decision-making approaches.
  • Contribution to technology-enhanced learning environments.

Publications

The researcher has documented scholarly contributions indexed within recognized academic databases. These publications address themes related to artificial intelligence, educational innovation, and the use of intelligent technologies for enhancing learning effectiveness. The publication record demonstrates active participation in academic dissemination and knowledge development within the field.[1]

Research Impact

Research in Artificial Intelligence in Education has increasing relevance for institutions seeking scalable and evidence-based educational solutions. The work associated with Pablo Vigara contributes to discussions concerning digital learning ecosystems, instructional improvement, and intelligent educational technologies. Such contributions support the broader adoption of innovative approaches within academic environments.[2]

Award Suitability

The Innovative Research Award recognizes scholarly contributions that advance research, innovation, and practical applications within specialized domains. Pablo Vigara’s academic activities in AI-driven educational research demonstrate engagement with contemporary scientific challenges and the development of knowledge relevant to educational innovation. His research profile aligns with the objectives of recognizing emerging contributions within the field of Artificial Intelligence in Education.

Conclusion

Pablo Vigara’s scholarly work reflects ongoing engagement with Artificial Intelligence in Education and educational innovation. Through research activities, publications, and contributions to technology-enhanced learning, he participates in advancing knowledge that supports modern educational systems. His academic profile represents continued involvement in interdisciplinary research addressing the evolving relationship between artificial intelligence and education.

References

  1. Elsevier. (n.d.). Scopus author details: Pablo Vigara, Author ID 59217744000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59217744000
  2. Orcid author details: Pablo Vigara, Author ID 0009-0003-6572-6697.
    https://orcid.org/0009-0003-6572-6697

Nikolaos Zygouris | ICT in Assessment of Learning Disabilities | Best Researcher Award

Assist. Prof. Dr. Nikolaos Zygouris | ICT in Assessment of Learning Disabilities | Best Researcher Award

Assistant Professor at University of Thessaly, Greece

Nikolaos C. Zygouris is a distinguished academic in the field of clinical neuropsychology and digital cognitive assessment. With a solid foundation in psychology and specialized expertise in neuropsychological assessment for children and adolescents, Dr. Zygouris has contributed significantly to interdisciplinary research that combines psychology, technology, and education. Currently serving as an Assistant Professor at the Department of Informatics and Telecommunications, University of Thessaly, he directs the Laboratory of Digital Neuropsychological Assessment. His work centers on the creation and validation of web-based cognitive screening tools, electrophysiological investigations, and innovative approaches for learning disabilities, depression, and anxiety among youth.

Profile

Orcid

Education

Dr. Zygouris began his academic journey with a degree in Psychology from the University of Crete. He pursued his doctoral studies in Clinical Neuropsychology at the Department of Special Education, University of Thessaly, focusing on the intersection of neuropsychology and learning interventions. In addition to his formal academic education, he has undergone advanced training in repetitive Transcranial Magnetic Stimulation (rTMS) at the Temerty Center for Therapeutic Brain Intervention, Centre for Addiction and Mental Health in Toronto, Canada, and in Event Related Potentials (ERP) at EBneuro Academy, Firenze, Italy. These diverse educational experiences underpin his multidisciplinary approach to neuropsychological research and technological innovation in cognitive science.

Experience

Dr. Zygouris has held several influential academic and research positions. Early in his career, he served as a research associate in the Neuropsychology Laboratory at the University of Thessaly, where he contributed to cognitive development and brain function studies. He also served as the scientific head of the Special Therapies Center “Learning and Development,” where he led intervention programs for children with cognitive and learning impairments. Since 2019, he has held the role of Assistant Professor at the University of Thessaly, where he teaches and leads research on the application of informatics and new technologies in neuropsychological assessment. He is also the founder and director of the Laboratory of Digital Neuropsychological Assessment, where he oversees various innovative projects aimed at digitalizing and optimizing cognitive screening procedures.

Research Interest

Dr. Zygouris’s research interests lie at the confluence of neuropsychology, educational technology, and cognitive science. His primary scientific focus involves the use of electrophysiological techniques such as ERPs to evaluate brain activity and cognitive function in children and adolescents. He is particularly interested in the development and validation of web-based neuropsychological screeners for early detection and remediation of learning disabilities, ADHD, depression, and anxiety. He has also explored how robotics and educational games can enhance learning, executive functioning, and problem-solving skills among primary school students. His work frequently bridges the gap between theoretical neuropsychological models and practical, accessible interventions via digital tools.

Award

Throughout his career, Dr. Zygouris has been recognized for his contribution to scientific literature, innovation in education, and interdisciplinary collaboration. He has been invited to review for several prestigious journals, including Brain Sciences, Applied Neuropsychology: Child, IEEE Access, and Scientific Reports, reflecting the high regard in which his expertise is held within the academic community. His leadership in neuropsychological screening using digital platforms has placed him at the forefront of modern educational and clinical research in Greece and internationally.

Publication

Among his numerous scholarly outputs, seven notable publications illustrate the impact and diversity of Dr. Zygouris’s work:

“The Implementation of the Askisi-SD Neuropsychological Web-Based Screener: A Battery of Tasks for Screening Cognitive and Spelling Deficits of Children”, Education Sciences, 2025 – Cited by 4 articles.

“Validation of the Askisi-Lexia Neuropsychological Web-Based Screener: A Neuropsychological Battery for Screening Cognitive and Phonological Skills of Children with Dyslexia”, Applied Neuropsychology: Child, 2025 – Cited by 6 articles.

“Children’s Color Trails Test: Greek Normative Data and Clinical Validity in Children with Traumatic Brain Injury and Attention Deficit-Hyperactivity Disorder”, Applied Neuropsychology: Child, 2024 – Cited by 5 articles.

“Differences in Children and Adolescents with Depression Before and After a Remediation Program: An Event-Related Potential Study”, Brain Sciences, 2024 – Cited by 7 articles.

“The Effectiveness of a Reading and Cognitive Task-Based Web Delivered Intervention Program for Children with Reading Difficulties”, Applied Neuropsychology: Child, 2024 – Cited by 9 articles.

“Implementing a Web Application Screener for Preschoolers: Executive Functions and School Readiness”, International Journal of Engineering Pedagogy, 2023 – Cited by 3 articles.

“Differences in Dyslexic Students Before and After a Remediation Program: A Clinical Neuropsychological and Event Related Potential Study”, Applied Neuropsychology: Child, 2018 – Cited by 15 articles.

Conclusion

Nikolaos C. Zygouris exemplifies the synthesis of rigorous psychological research with advanced technological methodologies. His career reflects a continuous commitment to understanding and supporting cognitive development through both scientific insight and practical digital applications. With over 100 contributions to journals, conferences, and books, he has influenced both academic and clinical practices in neuropsychology. His leadership in integrating informatics with neuropsychological assessments has paved the way for more efficient, scalable, and early detection interventions for children and adolescents facing cognitive and emotional challenges. As he continues to mentor students, conduct pioneering research, and innovate neuropsychological tools, Dr. Zygouris remains a key figure in the evolving field of digital clinical psychology.