Université Paris 8 · CHArt / THIM · CNU 61

Anis RojbiAssociate Professor in Computer Science and Engineering

I study how to develop digital tools and interfaces that adapt to users and the way they use them. My research combines digital accessibility, signal processing and human–computer interaction.

Head of the ICH department and Director of the MIASHS Master’s programme – Technology and Disability track.

Portrait of Anis Rojbi.
Université Paris 8 · CHArt laboratory

Exploring an image at different levels of detail

An adapted representation can change how an image is explored. In this work, graphic and haptic granularity can be customised for touchscreen exploration by sighted or blind users.

Sighted and blind users exploring an image on a touchscreen, with customisable graphic and haptic granularity.
Exploration and customisation.
Read the method and figure descriptions

Research questions

01
Images and accessibility

How can visual and tactile representations adapt to users and their contexts of use?

I study multi-level visual, interactive and tactile representations to make images and digital documents more accessible.

Methods and work in area 1
02
Multimodal analysis

Can fatigue be detected by combining vision and physiological data?

This work combines visual cues and physiological measures to study fatigue using machine learning.

Methods and work in area 2
03
BCI and EEG

How can models become more robust when EEG data are limited?

I explore natural and synthetic data augmentation for physical-action classification using deep learning.

Methods and work in area 3
2023–2025

Selected publications

2025
Article · Frontiers in Neuroinformatics

Effect of Natural and Synthetic Noise Data Augmentation on Physical Action Classification by Brain–Computer Interface and Deep Learning

Y. Gordienko, N. Gordienko, V. Taran, A. Rojbi, S. Telenyk & S. Stirenko.

2023
International conference

Enhancing the Accessibility of Images on the Web: A Holistic View and New Perspectives

S. Rojbi, A. Rojbi & M. S. Gouider.

Browse references and resources

Teaching and academic leadership

Teaching digital accessibility

In the MIASHS Master’s programme, students work on accessible web development, IoT, cloud systems and projects carried out with non-profit or partner organisations.

Courses and student projects

Programme and academic leadership

I head the Engineering – Cognition – Disability department and direct the MIASHS Master’s programme and its Technology and Disability track, while contributing to international cooperation across the faculty.

Profile and responsibilities

Current work

Research and collaboration in progress

A concise view of current research and open forms of academic cooperation.

01
Research

BCI, EEG and deep learning

Recent work on EEG data augmentation and model robustness for physical-action classification.

View the research area
02
International

Kyiv, Sfax and Erasmus+ cooperation

Mobility programmes, joint teaching and academic cooperation with international partners.

View projects and cooperation
03
Collaborate

Research, doctoral work and interdisciplinary projects

Potential cooperation in digital accessibility, assistive technology, AI, mobility and joint supervision.

Ways to work together