Friday, January 29, 2021 - 11:00 to 12:30
SCHOOL OF COMPUTER SCIENCE – Colloquium Series
The School of Computer Science at the University of Windsor is pleased to present…
Colloquium Presentation by PhD Candidate Bonaventure Molokwu
Date: Friday January 29, 2021
Time: 11:00am-12:30pm
Zoom URL: https://zoom.us/j/99252833935?
Passcode: If interested in attending the event, contact the Graduate Secretary at csgradinfo@uwindsor.ca
Abstract
Link Prediction (LP) is one of the several open and interesting problems in Social Network Analysis (SNA). Over the years, SNA has become quite appealing to the Artificial Intelligence (AI) research community owing to its widespread applications (in e-commerce, cybersocieties, bioinformatics, etc.). Social network structures possess apparent and latent representations which can be effectively harnessed to resolve the problem of Link Prediction within a given social network. Herein we shall consider several approaches for predicting ties or links in social networks. In this regard, emphasis shall be laid on recent Deep Learning (DL) techniques which have been developed for LP problems. Also, we shall study how social networks are preprocessed prior to the application of these DL methods in solving LP problems.
Keywords: Social Network Analysis (SNA), Artificial Intelligence (AI), link prediction, deep learning (DL)
Biography
Bonaventure Chidube Molokwu is a PhD Candidate and Research Assistant in the domain of Artificial Intelligence (AI) with focus on Social Network Analysis (SNA) using Machine Learning and Deep Learning (ML/DL) methodologies. Also, he is a Sessional Instructor at the School of Computer Science, University of Windsor; and a professional member of the Institute of Electrical and Electronics Engineers (IEEE) and the Canadian Artificial Intelligence Association (CAIAC).
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca