Caren Al Anaissy

Phone : +33635255581
E-mail : alanaissy@cril.fr

ACADEMIC CAREER

2021-2024
















2020-2021


2016-2021

PhD student, Centre de Recherche en Informatique de Lens (CRIL) and Centre Droit Éthique et Procédures (CDEP) laboratories attached to Université d’Artois

Artificial Intelligence - Computer Science - Computational Models of Arguments

Applying argumentation theory in legal reasoning.


Thesis co-funded by: VIVAH Université d'Artois and Région Hauts-de-France.

Thesis supervised by: Srdjan VESIC (CNRS Researcher) and Nathalie NEVEJANS (Associate Professor, Chair of Responsible AI (AI Law & Ethics), Université d’Artois).

Thesis Objectives:

- Help judges take their decisions in legal cases by modelling legal reasoning i.e. providing a formal framework to express legal case based reasoning.

- Use precedent legal cases as a source of legal knowledge to propose solutions to a new case.

Master 2, Visual Computing, Polytech Nantes, Université de Nantes

Double diploma with the Lebanese University.

Engineering Degree, Computer and Communication Engineering, Lebanese University, Faculty of Engineering Branch II

PROFESSIONAL EXPERIENCES

2021-2022




2021

Teaching, Bachelor Degree in Computer Science, Faculté des Sciences Jean Perrin, Université d’Artois

- Programming and Algorithms 1, 24 hours Practical Works.
- Programming and Algorithms 2, 22 hours Pratical Works.
- Database, 18 hours Practical Works.

M2 Internship, Laboratoire des Sciences du Numérique de Nantes (LS2N)
Training handwriting recognition system with uncertain data using crowd-sourcing.

- Propose an automatic reading machine using uncertain annotations as a training ground-truth.

- Apply the obtained recognizer to propose new automatic annotations or consensus directly in RECITAL.

INTERNATIONAL CONFERENCE

Submission to KR 2022 19th International Conference on Principles of Knowledge Representation and Reasoning.

- Authors: Liuwen Yu, Caren Al Anaissy, Srdjan Vesic and Leendert van der Torre.

- Title: A Principle-based Analysis of Bipolar Argumentation Semantics.

ACADEMIC PROJECT

2020

Handwritten Math Recognition Project

Recognition of On-line Handwritten Mathematical Expression (ROHME), which is one of the task of the CROHME competitions. This project includes a complete computer vision process from data preparation, training the models, to final evaluation.

SKILLS AND ABILITES

Basics in: Matlab, Html, VC Demo, SolidWorks, Eagle, LabView, Autocad.

Computer Skills: Python, C++, C#, Java, Wireshark, Cisco Packet Tracer, HeidiSQL, SQL server, ADS.

HOBBIES

Karate, Hiking, Table Tennis, Chess, Singing.