Valerio De Luca

Valerio De Luca

Assistant professor

University of Salento - Department of Engineering for Innovation

Corpo O - Ecotekne Campus Provincial road Lecce-Monteroni - 73100, Lecce (Italy)

Tel. +39 0832 297736

Email valerio.deluca@unisalento.it

Valerio De Luca is a researcher at the Department of Engineering for Innovation of University of Salento, where he obtained a PhD in Information Engineering in 2014.

His past research interests include high performance computing, grid computing, distributed systems for real-time audio-video streaming and video QoE. Since 2015, he works with the Augmented and Virtual Reality Laboratory (AVR Lab), where he has been involved in projects on human-computer interaction and extended reality for medicine, e-learning, cultural heritage.

He recently worked also on GPU computing, with application to optimal UAV path planning, and on augmented reality for improvement of situation awareness in UAV remote control.

He is currently involved in a project on the use of extended reality for real-time support in surgery.
 

Gianpaolo D’Errico

Gianpaolo D’Errico

Computer Engineer – PhD Student

Politecnico di Torino – Dipartimento Scienza applicata e tecnologia (DISAT)

Corso Duca degli Abruzzi, 24, 10129 Torino (TO)

Tel. +39 011 090 102

Email giovanni.derrico@polito.it

Giovanni D’Errico graduated magna cum laude in Information Engineering in University of Salento in 2017, discussing a thesis on the joint use of Augmented Reality (AR) and drones in the archaeological field. Over the years as a research fellow in AVRLab he has gained expertise in virtual/augmented reality applications and gamification in the context of smart cities, cultural heritage smart fruition and neurocognitive rehabilitation.

He is currently a PhD student at the Polytechnic University of Turin (doctoral school in Metrology) and is also part of the ARHeMLab research laboratory of the Federico II University in Naples.

His current research interests are oriented to the study of Brain Computer Interfaces (BCI) in biosignal-based immersive virtual environment for supporting Mindfulness protocols and detecting emotional states.