I am a Postdoctoral Research Assistant with the Centre for Intelligent Sensing and the School of Electronic Engineerging and Computer Science at Queen Mary University of London (QMUL), UK. In collaboration with and under the supervision of Prof. Andrea Cavallaro, I currently investigate machine learning models based on graph neural networks for explainable AI, specifically for the use-case of privacy protection in multimedia data (images, videos, and audio-visual data), under the project "Graph Neural Networks for Explainable AI" (GraphNEx).
I obtained the Ph.D. in Electronic Engineering, with the thesis titled "Local features for view matching across independently moving cameras", from Queen Mary University of London, UK, in September 2020. Afterwards, I was a Research Assistant and Postdoctoral Research Assistant in Queen Mary University of London and I investigated novel, robust, deployable multi-modal (audio-visual) models for human-to-robot handovers under the project "Collaborative Object Recognition, Shared Manipulation and Learning (CORSMAL)".
I am an IEEE Member and IEEE Signal Processing Society member, and a reviewer for international conferences and journals, including IEEE Transactions on Multimedia, IEEE Robotics and Automation Letters, IEEE Sensors Journal, IET Computer Vision, IEEE International Conference on Image Processing (ICIP), IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE International Conference on Pattern Recognition (ICPR), British Machine Vision Conference (BMVC), and ACM/IEEE International Conference on Human-Robot Interaction (HRI). I was awarded the Top Reviewer Recognition at IEEE ICIP 2020, and the Oustanding Reviewer Recognition at IEEE ICASSP 2022 and IEEE ICASSP 2023.
Computer Vision | Machine and deep learning | Multi-modal fusion | Image and video processing | Perception for robotics
Cross-Camera View-Overlap Recognition
International Workshop on Distributed Smart Cameras (24 October 2022)
at European Conference on Computer Vision (ECCV)
|2023/08/05||Paper (that I co-authored) accepted at the 11th Int. Workshop on Assistive Computer Vision and Robotics (ACVR) at ICCV 2023|
|2023/06/11||Awarded outstanding reviewer recognition at IEEE ICASSP 2023|
|2023/04/28||Visiting at Idiap Research Institute, in Martigny, Switzerland (29 April - 25 May)|
|2023/05/03||Attending GraphNEx workshop (3-5 May) at Idiap Research Institute, in Martigny, Switzerland|
|2023/04/26||Internal tutorial (day 2): "The reviewer doesn't understand & is wrong! Transitioning into the reviewer's shoes" (online & in-person)|
|2023/04/01||Attending and presenting the project GraphNEx at the CHIST-ERA Projects Seminar 2023 (poster, presentation)|
|2023/03/22||Internal tutorial: "The reviewer doesn't understand & is wrong! Transitioning into the reviewer's shoes" (online & in-person)|
|2023/01/01||Joining and contributing for the next year into the project GraphNEx|
|2022/12/07||Lecture on interest points (from SIFT, binary descriptor to recent deep learning based methods) at the ECS709 Module: Introduction to Computer Vision (QMUL)|
|2022/12/06||Presenting the project CORSMAL and its achievements at the ARQ-Robotics Centre Research Day 2022|
|2022/10/21||Released the data and code associated to the work on Cross-Camera View-Overlap Recognition|
|2022/10/07||Lecture on Deep Learning Models for Computer Vision at the ECS709 Module: Introduction to Computer Vision (QMUL)|
|2022/09/14||Presented a video demo of the project CORSMAL at IEEE International Conference on Development and Learning (ICDL 2022)|
|2022/04/21||Webpage of the chapter on Visual Adversarial Attacks and Defenses is now online!|
|2022/03/28||CORSMAL features as CHIST-ERA Open Science Success Story at the CHIST-ERA Projects Seminar 2022|