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Daniel Martín is a Tenure-Track Assistant Professor in the Department of Computer Science and Systems Engineering, and a member of the Graphics and Imaging Lab at the Aragon Institute for Engineering Research (I3A). His main line of research focuses on perception-driven virtual reality (VR), exploring topics such as audio-visual attention, multimodality, content creation, and imperceptible manipulations.
As indicators of the quality of his research, he has authored 11 JCR-indexed publications (8 in Q1 journals) and has received over 335 citations (Google Scholar, as of May 12th, 2025). According to Web of Science, his work ranks above the 75th percentile in impact, meaning his publications are cited more frequently than 75% of comparable work in the field, highlighting both the relevance and impact of his research at an early career stage.
In 2024, his scientific trajectory was recognized with the SCIE–fBBVA Young Researcher Award in Computer Science, identifying him as one of the most promising young researchers at the national level. In 2025, he received the Best PhD Thesis Award from the EUROGRAPHICS - Spanish Section, recognizing his work at a national level.
His research career has followed an international trajectory, including visiting positions at Adobe Research and Meta Reality Labs Research (USA), and collaborations with institutions such as Max Planck Institute (Germany) and Stanford University (USA). He has also delivered invited talks at institutions like Università della Svizzera italiana (Switzerland) and NTNU (Norway).
Daniel is also actively involved in professional service, having served as Associate Program Chair for ISMAR 2025 (one of the top international conferences on VR), Program Committee Member for multiple international and national conferences (including Eurographics, EGSR, SAP, and CEIG), and as tertiary reviewer for over 20 journals and conferences.
In terms of teaching and supervision, Daniel has taught courses spanning two different Bachelor's degrees (Computer Science, Industrial Technologies) and two Master's degrees (Robotics, Graphics, and Computer Vision, and Education in IT), and has supervised 9 BSc theses, 5 MSc internships, and 7 MSc theses. |
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