
Waleed IqbalQueen Mary, University of London | QMUL · School of Electronic Engineering and Computer Science
Waleed Iqbal
MS Computer Science
About
17
Publications
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236
Citations
Introduction
I am a Machine Learning Researcher, graduated from Information Technology University Lahore. My research is in the area of Data Science and Scientometrics, looking at topics emerging in Machine Learning and Data Science.
Skills and Expertise
Additional affiliations
January 2020 - present
October 2017 - February 2018
February 2016 - June 2017
Education
January 2020 - January 2023
October 2015 - June 2018
December 2009 - December 2013
Publications
Publications (17)
The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, Twitter, Facebook, etc. In this work, we give an extended overview of how Pakistan's population used public WhatsApp groups for sh...
With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms have become popular. In addition, there is increasing adoption of third-party cloud services for outsourcing training of DL mode...
The worldwide spread of COVID-19 has prompted extensive online discussions, creating an `infodemic' on social media platforms such as WhatsApp and Twitter. However, the information shared on these platforms is prone to be unreliable and/or misleading. In this paper, we present the first analysis of COVID-19 discourse on public WhatsApp groups from...
The worldwide spread of COVID-19 has prompted extensive online discussions, creating an 'infodemic' on social media platforms such as WhatsApp and Twitter. However, the information shared on these platforms is prone to be unreliable and/or misleading. In this paper, we present the first analysis of COVID-19 discourse on public WhatsApp groups from...
div>COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. At the time of writing, more than 2.8 million people have tested positive. Infections have been growing exponentially and tremendous efforts are being made to fight the disease. In this paper, we attempt...
IEEE Transactions on Artificial Intelligence, Volume: 1, Issue: 1, Aug. 2020, pp. 85-103, URL: https://ieeexplore.ieee.org/document/9184922 ---
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020, more than 21 million people have tested posi...
Motivated by the importance of education in an individual's and a society's development, researchers have been exploring the use of Artificial Intelligence (AI) in the domain and have come up with myriad potential applications. This paper pays particular attention to this issue by highlighting the future scope and market opportunities for AI in edu...
div>COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. At the time of writing, more than 2.8 million people have tested positive. Infections have been growing exponentially and tremendous efforts are being made to fight the disease. In this paper, we attempt...
div>COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. At the time of writing, more than 2.8 million people have tested positive. Infections have been growing exponentially and tremendous efforts are being made to fight the disease. In this paper, we attempt...
This is a Technical Report. Cite as: Siddique Latif, Muhammad Usman, Sanaullah Manzoor, Waleed Iqbal, Junaid Qadir, Gareth Tyson, Ignacio Castro, Adeel Razi, Maged N. Kamel Boulos, Adrian Weller and Jon Crowcroft. Leveraging Data Science To Combat COVID-19: A Comprehensive Review (2020). Companion site: https://github.com/Data-Science-and-COVID-19/...
The ACM Special Interest Group on Data Communications (SIG-COMM) has been a major research forum for fifty years. This community has had a major impact on the history of the Internet, and therefore we argue its exploration may reveal fundamental insights into the evolution of networking technologies around the globe. Hence, on the 50 t h anniversar...
This study uses the article content and metadata of four important computer networking periodicals-IEEE Communications Surveys and Tutorials (COMST), IEEE/ACM Transactions on Networking (TON), ACM Special Interest Group on Data Communications (SIGCOMM), and IEEE International Conference on Computer Communications (INFOCOM)-obtained using ACM, IEEE...
This study uses the article content and metadata of four important computer networking periodicals-IEEE Communications Surveys and Tutorials (COMST), IEEE/ACM Transactions on Networking (TON), ACM Special Interest Group on Data Communications (SIGCOMM), and IEEE International Conference on Computer Communications (INFOCOM)-obtained using ACM, IEEE...
In low-power low-rate wireless networks, IEEE 802.15.4 is a standard protocol for communication. Devices in such networks are usually battery-operated so radio-transceiver component in such networks are typically of low range but mostpower consuming. Proper antenna orientation, distance between nodes and channel selection are among the ways to achi...
Teachers play a central role in education. However, there are many factors like non-teaching activities given to teachers besides the teaching workload, and the low or insufficient qualification of teachers, which can lower the quality of education imparted by teachers, especially in the developing countries. In this paper, we have proposed a volun...
Projects
Projects (3)
The key contribution of this article is to develop a methodology and framework for performing a comprehensive bibliometric analysis on computer networking research
This project studies the experimental results and impact of ICTD based solution for education in Pakistan
The project studies the energy efficiency in Internet of Things (IoT) duty cycling protocol XMAC and ContikiMAC.