30 citations · 101 across the 22 of their papers we have counts for
24 papers
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues
Senthil Kumar Jagatheesaperumal, Kashif Ahmad, Ala Al-Fuqaha +1
Metaverse has evolved as one of the popular research agendas that let the users learn, socialize, and collaborate in a networked 3D immersive virtual world. Due to the rich multime…
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data
Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany +4
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning (ML) in a distributed manner without directly accessing private data on clients. However…
Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content
Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad +2
This paper presents a solutions for the MediaEval 2021 task namely "Visual Sentiment Analysis: A Natural Disaster Use-case". The task aims to extract and classify sentiments percei…
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021
Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler +4
The Visual Sentiment Analysis task is being offered for the first time at MediaEval. The main purpose of the task is to predict the emotional response to images of natural disaster…
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal +4
The growing use of social media has led to the development of several Machine Learning (ML) and Natural Language Processing(NLP) tools to process the unprecedented amount of social…
Explainable Event Recognition
Imran Khan, Kashif Ahmad, Namra Gul +3
The literature shows outstanding capabilities for CNNs in event recognition in images. However, fewer attempts are made to analyze the potential causes behind the decisions of the…
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions
Yasir Saleem Afridi, Kashif Ahmad, Laiq Hassan
Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources of energy. With every passing year, our dependency on the renewable sources of energ…
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad +2
The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big D…
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Kashif Ahmad, Firoj Alam, Junaid Qadir +8
Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. Thanks to digital technologies, such as smartphones and wearable devices, contacts…
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan +2
Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent se…
The Diabetic Buddy: A Diet Regulator andTracking System for Diabetics
Muhammad Usman, Kashif Ahmad, Amir Sohail +1
The prevalence of Diabetes mellitus (DM) in the Middle East is exceptionally high as compared to the rest of the world. In fact, the prevalence of diabetes in the Middle East is 17…
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly +3
As the globally increasing population drives rapid urbanisation in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In part…
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
Abdullah Hamid, Nasrullah Shiekh, Naina Said +4
The paper presents our solutions for the MediaEval 2020 task namely FakeNews: Corona Virus and 5G Conspiracy Multimedia Twitter-Data-Based Analysis. The task aims to analyze tweets…
Flood Detection via Twitter Streams using Textual and Visual Features
Firoj Alam, Zohaib Hassan, Kashif Ahmad +4
The paper presents our proposed solutions for the MediaEval 2020 Flood-Related Multimedia Task, which aims to analyze and detect flooding events in multimedia content shared over T…
Floods Detection in Twitter Text and Images
Naina Said, Kashif Ahmad, Asma Gul +2
In this paper, we present our methods for the MediaEval 2020 Flood Related Multimedia task, which aims to analyze and combine textual and visual content from social media for the d…
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Basheer Qolomany, Kashif Ahmad, Ala Al-Fuqaha +1
Most of the research on Federated Learning (FL) has focused on analyzing global optimization, privacy, and communication, with limited attention focusing on analyzing the critical…
Visual Sentiment Analysis from Disaster Images in Social Media
Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks +4
The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new oppor…
Kalman Filter Based Multiple Person Head Tracking
Mohib Ullah, Maqsood Mahmud, Habib Ullah +3
For multi-target tracking, target representation plays a crucial rule in performance. State-of-the-art approaches rely on the deep learning-based visual representation that gives a…
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
Kashif Ahmad, Syed Zohaib, Nicola Conci +1
Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback…
Sentiment Analysis from Images of Natural Disasters
Syed Zohaib, Kashif Ahmad, Nicola Conci +1
Social media have been widely exploited to detect and gather relevant information about opinions and events. However, the relevance of the information is very subjective and rather…
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences
Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah +4
In this paper we present our methods for the MediaEval 2019 Mul-timedia Satellite Task, which is aiming to extract complementaryinformation associated with adverse events from Soci…
Active Learning for Event Detection in Support of Disaster Analysis Applications
Naina Said, Kashif Ahmad, Nicola Conci +1
Disaster analysis in social media content is one of the interesting research domains having abundance of data. However, there is a lack of labeled data that can be used to train ma…
Natural Disasters Detection in Social Media and Satellite imagery: a survey
Naina Said, Kashif Ahmad, Michael Regular +4
The analysis of natural disaster-related multimedia content got great attention in recent years. Being one of the most important sources of information, social media have been craw…
Automatic detection of passable roads after floods in remote sensed and social media data
Kashif Ahmad, Konstantin Pogorelov, Michael Riegler +4
This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as…