Omar Eldardeer is a Ph.D. student at the University of Genoa and the Italian Institute of Technology. His research is about cognitive robotics architectures, focusing on integrated audio-visual models. Omar received his M.Sc. degree from the University of Essex, the UK in Artificial Intelligence and Robotics. He is a young researcher with an interest in robot perception and learning.
Omar Khaled Elsayed Mohamed Eldardeer
COgNiTive Architecture for Collaborative Technologies
Address
Via Enrico Melen 83, Building B 16152 Genova, Italy
Research center
CHT@Erzelli
Interests
Cognitive Architectures
Robot Perception
Robot Audition
About
Education
Title: Ph.D. Bioengineering and Robotics
Institute: Università di genova
Location: Genova
Country: Italy
From: 2019 To: null
Title: MSc Intelligent Systems and Robotics
Institute: University of Essex
Location: Colchester
Country: UK
From: 2018 To: 2019
Title: BEng. Electrical Energy Engineering
Institute: Cairo University
Location: Cairo
Country: Egypt
From: 2012 To: 2017
All Publications
2023
Jirak D., Belgiovine G., Eldardeer O., Rea F.
A Novel Experiment Design for Vision-Based Fatigue Detection
25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION
Article in Press
Conference
2023
Eldardeer O., Bar-Magen J., Rea F.
Software Architecture for Safety, Ergonomics, and Interaction for Industrial Mobile Robotic Platforms
25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION
Article in Press
Conference
2023
Eldardeer O., Rea F., Sandini G., Jirak D.
When Deep is not Enough: Understanding of Shallow and Continual Learning Models in Realistic Environmental Sound Classification for Robots
International Journal of Humanoid Robotics
Article in Press
Journal
2021
Eldardeer O., Gonzalez Billandon j., Grasse L., Tata M., Rea F.
A Biological Inspired Cognitive Framework for Memory-Based Multi-sensory Joint Attention in Human-Robot Interactive TasksF
Frontiers in Neurorobotics, vol. Active Vision and Perception in Human-Robot Collaboration
2021
Eldardeer O., Sciutt A., Tata M., Rea F.
Auditory perception for interactive robots: a cognitiveframework to include motor commands and working memory inthe process of auditory sound localization
ACM/IEEE International Conference on Human-Robot Interaction (HRI) {Sound in HRI workshop}
Conference Paper
Conference
Awards and Achievements
2020
Eldardeer O., Sandini G., Rea F.
Best Paper Award in the AVHRC2020 workshop in ROMAN2020 Conference "A Biological Inspired Cognitive Model of Multi-sensory Joint Attention in Human Robot Collaborative Tasks"
Colleagues of COgNiTive Architecture for Collaborative Technologies
