MSc Thesis Proposal Announcement of Muhammad Moeed Khalid:"Online Sexual Predator detection"

Friday, September 30, 2022 - 10:00 to 12:00


The School of Computer Science is pleased to present… 

MSc Thesis Proposal by: Muhammad Moeed Khalid 

Date: Friday September 30th, 2022 
Time:  10:00am – 11:30am 
Location: Lambton Tower, Room 3105 
Reminder: Two-part attendance required: Part I (QR code) and Part II (sign in sheet)


Online sexual abuse is a very concerning yet severely overlooked vice of modern society. With more children being on the Internet and with the ever-increasing advent of web-applications such as online chatrooms and multiplayer games, preying on vulnerable users has become more accessible for predators. In recent years, there has been work on detecting online sexual predators using Machine Learning techniques. Such work has trained on severely imbalanced datasets, and imbalance is handled via manual trimming of over-represented labels. In this work, we propose a sampling approach that first tackles the problem of imbalance and then improves the effectiveness of the underlying classifiers. Our evaluation of the proposed sampling approach on PAN benchmark dataset shows performance improvements on several classification metrics, compared to prior methods that otherwise require hands-crafted sampling of the data. 
Keywords: Natural Language processing, Machine Learning, Deep Learning, Data Imbalance, Classification  

MSc Thesis Committee:  
Internal Reader:         Dr. Dima Alhadidi 
External Reader:        Dr. Jagdish Pathak 
Advisors:                     Dr. Alioune Ngom / Dr. Hossein Fani 

MSc Thesis Proposal Announcement

Vector Institute in Artificial Intelligence, artificial intelligence approved topic logo



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