About
Unlock AI in Academia: Practical Insights from Researchers, Lecturers & Librarians

Agenda Highlights:
  • Elsevier: Dr. Georgios Tsatsaronis on philosophy of technology – supporting research, teaching & supervision
  • Tampere University: Dr. Jussi Koivumäki on using Scopus AI in research, supervision, and workflow efficiency
  • University of Pompeu Fabra: Elisenda Cora on testing Deep Research in real projects
  • University of East Anglia: Callum Perry & Kate Hatcher on integrating Scopus AI into student learning and research skills

Why Attend:
See how AI tools like Scopus AI and Deep Research streamline research, enhance teaching, and empower supervision. Walk away with practical strategies to apply AI in your daily academic work.
When
Monday, November 10, 2025 · 11:00 a.m. Amsterdam (GMT +1:00)
Presenters
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Georgios Tsatsaronis
Vice President of Data Science, Elsevier
Dr. George Tsatsaronis is Vice President of Data Science at the Operations division of Elsevier, in Amsterdam, The Netherlands. Prior to joining Elsevier in 2016 he worked in academia for more than 10 years, doing research and teaching in the fields of machine learning, natural language processing and bioinformatics in universities in Greece, Norway and Germany. He has published more than 80 scientific articles in high impact peer review journals and conference proceedings in various areas of Artificial Intelligence, primarily natural language processing and text mining. In Elsevier, Dr. George Tsatsaronis is responsible for the design, implementation, deployment and quality assurance for several of Elsevier’s AI solutions and capabilities.
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Kate Hatcher, AFHEA, MCLIP, PGDip, BA (Hons)
Academic & Teaching Partner – Library at University of East Anglia, Norwich, UK
Qualified and chartered Librarian with over a decade of experience in UK Higher education libraries.

As Academic Teaching Partners / Teaching Librarians at the University of East Anglia (UEA) Kate and Callum:

- Create and deliver innovative, cross discipline, information skills programs for students, researches and staff.
- Foster student and faculty relationships.
- Promote library subscribed resources.
- Provide specialist skills support.
- Head an internal UEA AI working group

Callum and Kate are committed to staying ahead of industry developments and have a particular interest in the changing landscape of information literacies in relation to Generative AI.
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Callum Perry, BAHons, MRes, AFHEA
Academic & Teaching Partner| Library and Learning Enhancement PhD Student and Associate Tutor| School of Education and Lifelong Learning Governor to local Norfolk Secondary Schools. Rising Leader Fellow 2024, University of East Anglia, Norwich, UK
Qualified educator with a background in Curriculum, Assessment, Pedagogy and student experience in Higher Education
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Elisenda Aguilera Cora
Professor and Predoctoral Researcher, Department of Communication, Pompeu Fabra University, Barcelona, Spain
Elisenda Aguilera-Cora is a predoctoral fellow in the Communication department of Universitat Pompeu Fabra (UPF), Barcelona. She holds a Degree in Communication from Universitat Oberta de Catalunya and a Master’s Degree in Social Communication Research from UPF. Her research interests include place branding, communication, academic databases and the use of artificial intelligence in academic processes. Elisenda is a member of the Communication, Advertising and Society (CAS) research group and teaches in the Advertising and Public Relations degree and the Audiovisual Communication degree. Before joining CAS, she gained experience as a researcher at a global consultancy, where she conducted project-oriented research to support the development of sustainable cultural ecosystems in different cities around the world.
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Dr. Jussi Koivumäki, PhD, Adj Prof
University Lecturer in BME Computational Biophysics and Imaging Group (CBIG), Tampere University, Finland
Jussi Koivumäki is a University Lecturer of biomedical engineering and an Adjunct Professor (Title of docent) in computational cardiac cell electromechanics with the Computational Biophysics and Imaging Group at Faculty of Medicine and Health Technology, Tampere University. He has a longstanding interest in employing biophysics-based computational models, to study the excitation-contraction coupling process in the heart. He has co-authored >50 peer-reviewed scientific articles, with >2300 citations and an h-index of 24. As a lecturer, Jussi is responsible for teaching BSc and MSc level courses in biomedical engineering, as well as supervising BSc, MSc, and PhD students.
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