Valeria Garro

Universitetslektor

Institutionen för datavetenskap, Rum J3219

Biografi

Jag är universitetslektor vid institutionen för datavetenskap på Blekinge Tekniska Högskola (BTH). Mina aktuella forskningsintressen är inom visuella och interaktiva tillämpningsprogram i eXtended Realities ( t.ex. virtual eller augmented reality), visualisering, visuell perception. Min forskningsbakgrund är inom datorseende (3D rekonstruktion, kamera lokalisering), och 3D-modell analys.

Jag är involverad i olika kurser som lärare, t.ex. visualisering (DV1659-DV1474), 3D-programmering (DV1542), digital etik (DV2583), handledare, granskare, och/eller examinator till thesis kurser (t.ex. UD1449,DV2572,TE2502).

Jag är involverad i KKS forskningsprofilen HINTS, Human-Centered Intelligent Realities (https://a.bth.se/hints/) och jag var med I forskningsprojektet ViaTecH Synergy, datoranvändning med människan i centrum för nya visuella och interaktiva tillämpningsprogram (https://a.bth.se/viatech-synergy/). Tidigare var jag forskare (research fellow) vid Visual Computing Lab på ISTI-CNR (Italian National Research Council) i Pisa, Italien. Jag har också arbetat som forskare vid VIPS (Vision Image Processing and Sound) grupp på Veronas universitet i Italien. Jag har doktorerat inom datavetenskap vid Veronas universitet 2013.

Projekt och publikationer

Utvalda publikationer
Panoptic Visual Analytics of Eye Tracking Data. V. Garro, V. Sundstedt. In Proc. of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP 2022
A Review of Current Trends on Visual Perception Studies in Virtual and Augmented Reality. V. Garro, V. Sundstedt, and D. Navarro. In SIGGRAPH Asia 2020 Courses (SA '20).
Pose and Visual Attention: Exploring the Effects of 3D Shape Near-Isometric Deformations on Gaze. V. Garro, V. Sundstedt. In Proc. of 28th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2020).
Scale space graph representation and kernel matching for non rigid and textured 3D shape retrieval. V. Garro, A. Giachetti. In IEEE Transactions on Pattern Analysis and Machine Intelligence. June 2016, Volume 38, Issue 6, pp 1258-1271.

Nyligen publicerat
Veronica Sundstedt, Veselka Boeva, Hans-Juergen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn, Emiliano Casalicchio, Markus Fiedler, Emilia Mendes, Shahrooz Abghari, Yan Hu, Valeria Garro, Thi My Chinh Chu, Lars Lundberg, Patrik Arlos, "HINTS", Linköping Electronic Conference Proceedings, ISSN 1650-3686, EISSN 1650-3740, EISSN 199, 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Linköping University Electronic Press, 2023
Diego Navarro, Valeria Garro, Veronica Sundstedt, "The Electrodermal Activity of Player Experience in Virtual Reality Games", Communications in Computer and Information Science (CCIS), ISSN 1865-0929, EISSN 1865-0937, EISSN 1815, Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Springer Science+Business Media B.V., 2023
Veronica Sundstedt, Valeria Garro, "A Systematic Review of Visualization Techniques and Analysis Tools for Eye-Tracking in 3D Environments", FRONTIERS IN NEUROERGONOMICS, ISSN 2673-6195, Vol. 3, Frontiers Media S.A., 2022
Valeria Garro, Veronica Sundstedt, "Augmented Reality and 3D Printing for Archaeological Heritage", Lecture Notes in Computer Science, ISSN 03029743, EISSN 16113349, Extended Reality, Springer Science+Business Media B.V., 2022
Diego Navarro, Valeria Garro, Veronica Sundstedt, "Electrodermal Activity Evaluation of Player Experience in Virtual Reality Games", VISIGRAPP, ISSN 21844321, PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (HUCAPP), VOL 2, SciTePress, 2022