86 citations · 128 across the 9 of their papers we have counts for
18 papers
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha +1
The holy grail of networking is to create \textit{cognitive networks} that organize, manage, and drive themselves. Such a vision now seems attainable thanks in large part to the pr…
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta +4
Future buildings will offer new convenience, comfort, and efficiency possibilities to their residents. Changes will occur to the way people live as technology involves into people'…
Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure
Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha +1
Interest in smart cities is rapidly rising due to the global rise in urbanization and the wide-scale instrumentation of modern cities. Due to the considerable infrastructural cost…
Caveat emptor: the risks of using big data for human development
Siddique Latif, Adnan Qayyum, Muhammad Usama +3
Big data revolution promises to be instrumental in facilitating sustainable development in many sectors of life such as education, health, agriculture, and in combating humanitaria…
Using Deep Autoencoders for Facial Expression Recognition
Muhammad Usman, Siddique Latif, Junaid Qadir
Feature descriptors involved in image processing are generally manually chosen and high dimensional in nature. Selecting the most important features is a very crucial task for syst…
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama, Junaid Qadir, Aunn Raza +5
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently there has been…