AUB’s Machine INtelligence Development Lab

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Our Mission

The group aims at providing state of the art solutions in the field of artificial intelligence with focus on machine learning theory and applications. On the technical part, the Lab has special focus on Context Aware Sensing and Natural Language Processing. From an impact perspective, the lab aims at introducing AI for advancing human needs across the globe with particular interest for regional matters. Example applications include Natural Language Understanding (NLU) systems for Arabic and patented decision making by user mobile based on context.

Research Areas

Context Aware Sensing

Optimized Sensing, Time-series Prediciton, Learning from Little Data

Natural Language Understanding

Arabic Dialect Resources, Opinion Mining, Conversational Systems

Paper Abstract: Empathy-driven Arabic Conversational Chatbot

We are excited to share a preview of the paper titled “Empathy-driven Arabic Conversational Chatbot” by Tarek Naous, Christian Hokayem, and Prof. Hazem Hajj. The paper will be published at WANLP 2020 at COLING'2020, Barcelona, Spain, 12 Dec. 2020. Abstract:...

Paper Abstract: A Link Prediction Approach for Accurately Mapping a Large-Scale Arabic Lexical Resource to English WordNet

We are excited to share a preview of Gilbert Badaro's (Ph.D.) paper titled "A Link Prediction Approach for Accurately Mapping a Large-Scale Arabic Lexical Resource to English WordNet". The paper will be published at the prestigious ACM Transactions on Asian and...

Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy Seizures

We proposed a novel approach that optimizes a hierarchical CNN and GRU network with Adversarial Examples training for seizure prediction

Best Collaborative Software Development Project award

We are pleased to announce that Layal Al Khuja, Alexander Khalil and Aya Kayal won the Murex Award for the Best Collaborative Software Development Project

Best Software Engineering Student Award

We are pleased to announce that Alaa Khaddaj won the “Best Software Engineering Student” Award.

A Link Prediction Approach for Accurately Mapping a Large-Scale Arabic Lexical Resource to English WordNet

We are pleased to announce that Gilbert Badaro (PhD) got his paper accepted to TALLIP

AUB MIND Lab at OSACT 4 Shared Task on Offensive Language Detection

The use of social media platforms has become more prevalent, which has provided tremendous opportunities for people to connect but has also opened the door for misuse with the spread of hate speech and offensive language. This phenomenon has been driving more and more...

Resources and End-to-End Neural Network Models for Arabic Image Captioning

An end-to-end model that directly transcribes images into Arabic text and an annotated dataset for Arabic image captioning (AIC)

AraBERT : Pre-training BERT for Arabic Language Understanding

AraBERT is an Arabic pretrained language model based on Google’s BERT architecture

State of the Art Models for Fake News Detection Tasks

A paper detailing the winning models and methods in the Qatar International Fake News Detection and Annotation Contest

Drop us an Email

We’re always looking for new talents and collaborators.

Say hello or pass by Prof. Hazem Hajj’s Office at Bechtel Engineering Bldg, Room 507.