Speakers

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  Leontios J. Hadjileontiadis Professor at the Department of Electrical and Computer Engineering (ECE) of Aristotle University of Thessaloniki (AUTH)
  

  Leontios J. Hadjileontiadis

  Professor at the Department of Electrical and Computer Engineering (ECE) of Aristotle University of Thessaloniki (AUTH)

  Leontios J. Hadjileontiadis, born in Kastoria, Greece in π-1966, is Professor at the Department of Electrical and Computer Engineering (ECE) of Aristotle University of Thessaloniki (AUTH), Greece, and Adjunct Professor at the Department of Biomedical Engineering and Biotechnology (BMBED) of Khalifa University of Science and Technology in Abu Dhabi, UAE. He studied Electrical and Computer Engineering at AUTH, where he received his Diploma in 1989 and his Ph.D. in Electrical and Computer Engineering in 1997. His interests also extend to the arts, having completed a Ph.D. in Music Composition at the University of York, UK, in 2004, and a Diploma in Musicology at AUTH in 2011. His work focuses on biomedical signal analysis, machine learning applications in healthcare, and assistive technologies for neurological and cognitive disorders. He has published extensively in international journals and conferences, with more than 190 scientific papers and a citation record (h=60) that reflects the recognition of his contributions in these fields (https://scholar.google.gr/citations?user=OfAkcXkAAAAJ&hl=en).

  Professor Hadjileontiadis has also been active in coordinating research projects, including European collaborations with significant funding support. These projects with funding exceeding €15 million often combine engineering, healthcare, and education, aiming to provide practical solutions with societal benefit. His teaching emphasizes interdisciplinarity and application, and he has supervised numerous postgraduate students, contributing to the development of young researchers. His work has been recognized with distinctions such as the Microsoft Innovation Award in 2012, the Silver Award in Teaching Delivery at the Reimagine Education Awards in 2017–2018, and the Healthcare Research Award from the Dubai Healthcare City Authority in 2019. He is a Senior Member of IEEE and participates actively in the international academic community. He is the Director of the Signal Processing and Biomedical Technology Unit (SPBTU) at AUTH ECE.

  Beyond engineering and biomedical sciences, Professor Hadjileontiadis has explored the intersection of technology and art. He has composed more than 95 works exploring the sound from signal processing perspectives, covering biosignals, as well, integrating physiological data into musical creation, which reflects his interdisciplinary approach and interest in bridging science with artistic expression. This line of work highlights his ability to connect human experience, technology, and creativity in innovative ways.
  In summary, Leontios J. Hadjileontiadis is an academic whose career combines engineering, biomedical research, and music. His interdisciplinary background and commitment to both science and art make him a distinctive figure, engaged in advancing knowledge and exploring new forms of expression.

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  Delfim Leão Full Professor at the Center for Classical and Humanistic Studies, University of Coimbra
  

  Delfim Leão

  Full Professor at the Center for Classical and Humanistic Studies, University of Coimbra

  Delfim Leão is Full Professor at the Center for Classical and Humanistic Studies, University of Coimbra. His main areas of interest are ancient history, law and political theory of the Greeks, theatrical pragmatics, and the ancient novel. He also has a strong interest in open science and scholarly communication. He is Vice-rector por Culture, Communication and Open Science, and a member of the Executive Assembly of OPERAS (ESFRI infrastructure), participating in European projects such as OPERAS-P, TRIPLE, OPERAS-PLUS, PALOMERA, ATRIUM, LUMEN. He heads the team responsible for developing the collaborative translation platform Mondaecus, and the Digital Joanina project.

  Google Scholar: https://scholar.google.com/citations?user=FqzXRAgAAAAJ&hl=pt-PT

  ORCID: https://orcid.org/0000-0002-8107-9165

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  Javier de la Rosa Senior research scientist at the Artificial Intelligence Lab at the National Library of Norway
  

  Javier de la Rosa

  Senior research scientist at the Artificial Intelligence Lab at the National Library of Norway

  Javier de la Rosa is a senior research scientist at the Artificial Intelligence Lab at the National Library of Norway. A former Postdoctoral Fellow at UNED Digital Humanities Innovation Lab, he holds a PhD in Hispanic studies with a specialisation in digital humanities from the University of Western Ontario, and a Masters in artificial intelligence by the University of Seville. Javier has previously worked as a research engineer at the Stanford University Center for Interdisciplinary Digital Research, and as the Technical Lead at the University of Western Ontario CulturePlex Lab for Cultural Complexity. He is interested in natural language processing applied to historical and literary text, with a special focus on large language models.

  Google Scholar: https://scholar.google.com/citations?user=31VBFVIAAAAJ&hl=en

  ORCID: https://orcid.org/0000-0002-9143-5573

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  Manuel Portela Full Professor in the Faculty of Arts and Humanities, University of Coimbra
  

  Manuel Portela

  Full Professor in the Faculty of Arts and Humanities, University of Coimbra

  Full Professor in the Faculty of Arts and Humanities, University of Coimbra. Diretor of the General Library and one of the coordinarors of the project “Digital Joanina”. His research addresses writing and reading media and how they impact on literary forms and practices. Main publications: “Literary Simulation and the Digital Humanties” (Bloomsbury, 2022); “Scripting Reading Motions” (MIT Press, 2013), and “LdoD Archive: Collaborative Digital Archive of the Book of Disquiet” (CLP, 2017-2024, https://ldod.uc.pt/), edited by Manuel Portela and António Rito Silva.

  Google Scholar: https://scholar.google.com/citations?user=aawLR_QAAAAJ&hl=en

  ORCID: https://orcid.org/0000-0002-6295-6732