Ph.D. Candidate
McGill University


I am a second year PhD student in Computer Science at McGill University. I received my Masters in Electrical and Computer Engineering from McGill University in 2014 and, before that, my Bachelor of Engineering in Computer and Communications Engineering (and minor in History) from the American University of Beirut in 2011.

My research advisor is Prof. Jackie C.K. Cheung. I am a member of the Reasoning and Learning lab. I am broadly interested in artificial intelligence and natural language processing. Currently, my research focus is on computational pragmatics and natural language generation. I am particularly interested in the application of deep learning to these problem domains.

Our group organizes the CompLing meetings, a series of weekly research seminars in which we host researchers from the industry and academia working in different areas of natural language processing and computational linguistics. To join the CompLing mailing list, please send an email to compling-owner@cs.mcgill.ca.

Before getting into AI, I worked on wireless sensor networks for healthcare (@McGill -- ECE department), wireless sensor networks for water monitoring in rivers (@UC-Berkeley -- Floating Sensor Network project) and WiMAX networking (@Mobinets).


Relevance Effect: Exploiting Bayesian Networks to Improve Supervised Learning
Ardavan S. Nobandegani (co-primary), Jad Kabbara (co-primary) and Ioannis N. Psaromiligkos.  
IJCNN 2017, Anchorage, Alaska, USA, May 2017.
[PAPER]     [POSTER]    
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
Jad Kabbara, Yulan Feng and Jackie C.K. Cheung.  
COLING 2016, Osaka, Japan, December 2016. [Oral]
[PAPER]     [SLIDES]    
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
Jad Kabbara and Jackie C.K. Cheung.  
UBLP 2016 (@ EMNLP 2016), Austin, Texas, USA, November 2016.
[PAPER]     [POSTER]    
Kernel Subspace Pursuit for Sparse Regression
Jad Kabbara and Ioannis N. Psaromiligkos.  
Pattern Recognition Letters, January 2016.
Improving the tracking ability of KRLS using kernel subspace pursuit
Jad Kabbara and Ioannis N. Psaromiligkos.  
IEEE ICASSP 2014, Florence, Italy, May 2014.
[PAPER]     [POSTER]    

Kernel adaptive filtering algorithms with improved tracking ability
Jad Kabbara.   [PDF]    
Master's Thesis, McGill ECE, April 2014.
It's Time to Scale: Face Recognition Beyond the Precision
Fadel Adib and Jad Kabbara.  
AUB FEASC 2011, Beirut, Lebanon, May 2011.


Graduate Excellence Award (McGill University) (2015 - 2017)
Bourse d'excellence pour étudiants étrangers (Government of Quebec) (2011 - 2013)

Reasoning and Learning Lab
School of Computer Science, McGill University
3480 University Street, Room 111
Montreal, QC H3A 0E9
(514) 398-7071

Last Modified: May 2017