• The efficacy and safety of venous thromboembolism prophylaxis among hospitalized cirrhotic patients: Systematic review and meta-analysis 

  Abdel-Naser, Elzouki; Elshafei, Mohamed Nabil; Elzouki, Islam; Abu-Ageila, Munir; Waheed, Muhammad Aamir; Habas, Elmukhtar; Doi, Suhail; Danjuma, Mohammed I.... more authors ... less authors ( Elsevier , 2025 , Article)

  Background and study aimsThis meta-analysis aims to evaluate the effect of prophylactic anticoagulation on incidence of venous thromboembolism (VTE), bleeding events, and mortality in hospitalized cirrhotic patients. ...
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  السيرة النبوية وحجيتها في التشريع الإسلامي 

  الشيش, عبدالحميد مجيد; الحرازي, عادل حسن أمين; ALSIS, Abdulhamid; Al-Harazi, Adel Hasan Ameen ( جامعة الأندلس للعلوم والتقنية , 2025 , Article)

  اهتم المسلمون -منذ عصر الصحابة- بنقل جميع ما قاله صلى الله عليه وسلم وما فعله أو أقرّه، ونقلوا الأحداث والوقائع التي كانت في أيامه، فتشكّلت من هذه الروايات المنقولة (علم السيرة)، وتفرع عنه (الشمائل)، و(الخصائص) و(الدلائل)، ...
• Children and Law 

  Möller, Lena-Maria ( Brill , 2025 , Book chapter)

  This article examines the intersection of children’s rights and Islamic law across both historical and contemporary contexts. Islamic law recognises that, because of children’s lack of agency and their consequent vulnerability, ...
• Cryptocurrency Market Volatility and Forecasting: A Comparative Analysis of Modern Machine Learning Models for Cryptocurrencies Predicting Accuracy 

  Iqbal, Robina; Riaz, Madhia; Sorwar, Ghulam; Qadir, Junaid ( World Scientific , 2024 , Article)

  Cryptocurrency (CRP) has grown in popularity over the last decade. Since there is no central body to control the Bitcoin (BTC) markets, they are extremely volatile. However, several similar variables that cause price ...
• Data-Driven Artificial Intelligence in Education: A Comprehensive Review 

  Ahmad, Kashif; Iqbal, Waleed; El-Hassan, Ammar; Qadir, Junaid; Benhaddou, Driss; Ayyash, Moussa; Al-Fuqaha, Ala... more authors ... less authors ( IEEE , 2024 , Article)

  As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it ...
• Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally 

  Al-Maliki, Shawqi; Qayyum, Adnan; Ali, Hassan; Abdallah, Mohamed; Qadir, Junaid; Hoang, Dinh Thai; Niyato, Dusit; Al-Fuqaha, Ala... more authors ... less authors ( IEEE , 2024 , Article)

  Deep neural networks (DNNs) have been the driving force behind many of the recent advances in machine learning. However, research has shown that DNNs are vulnerable to adversarial examples - input samples that have been ...
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  Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare 

  Pervez, Farrukh; Shoukat, Moazzam; Suresh, Varsha; Farooq, Muhammad Umar Bin; Sandhu, Moid; Qayyum, Adnan; Usama, Muhammad; Girardi, Anna; Latif, Siddique; Qadir, Junaid... more authors ... less authors ( IEEE , 2024 , Article)

  In the modern landscape of information and communication technologies, the current healthcare industry confronts significant challenges. These include a shortage of experienced medical professionals, disparities in access ...
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  R2S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild 

  Butt, Muhammad Atif; Ali, Hassan; Qayyum, Adnan; Sultani, Waqas; Al-Fuqaha, Ala; Qadir, Junaid... more authors ... less authors ( Springer , 2025 , Article)

  Semantic understanding of roadways is a key enabling factor for safe autonomous driving. However, existing autonomous driving datasets provide well-structured urban roads while ignoring unstructured roadways containing ...
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  Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique 

  Bukhari, Syeda Tayyaba; Janjua, Muhammad Umar; Qadir, Junaid ( IEEE , 2024 , Article)

  Blockchain technology enables users to control and record their cryptocurrency transactions through the use of digital wallets. As the use of blockchain technology and cryptocurrency wallets continues to grow in popularity, ...
• Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education 

  Qadir, Junaid ( IEEE , 2023 , Conference paper)

  Engineering education is constantly evolving to keep up with the latest technological developments and meet the changing needs of the engineering industry. One promising development in this field is the use of generative ...
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  Medical Education Metaverses (MedEd Metaverses): Opportunities, Use Case, and Guidelines 

  Mekki, Yosra Magdi; Simon, Leslie V.; Freeman, William D.; Qadir, Junaid ( IEEE , 2025 , Article)

  This article explores how artificial intelligence (AI), particularly generative AI (GenAI), can enhance extended reality (XR) applications in medical education (MedEd) metaverses. We compare traditional augmented reality/virtual ...
• Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract) 

  Javed, Rana Tallal; Nasir, Osama; Borit, Melania; Vanhée, Loïs; Zea, Elias; Gupta, Shivam; Vinuesa, Ricardo; Qadir, Junaid... more authors ... less authors ( International Joint Conferences on Artificial Intelligence , 2023 , Conference paper)

  This study explores the topics and trends of teaching AI ethics in higher education, using Latent Dirichlet Allocation as the analysis tool. The analyses included 166 courses from 105 universities around the world. Building ...
• Avatar Privacy Challenges in the Metaverse: A Comprehensive Review and Future Directions 

  Eltanbouly, Somaya; Halabi, Osama; Qadir, Junaid ( Taylor and Francis Ltd. , 2025 , Article)

  The concept of the Metaverse has sparked great interest as a futuristic virtual space that provides immersive experiences and social interactions through digital avatars. However, using avatars in the Metaverse raises ...
• Informed Consent in IoT Environments: Challenges and a Futuristic Incentives-Based Model 

  Eliyan, Areej Fayez; Marwat, Safdar Nawaz Khan; Qadir, Junaid; Al-Fuqaha, Ala ( IEEE , 2024 , Article)

  The ubiquitous deployment of IoT devices has enabled the collection of large amounts of data, which can be used to infer intimate information about user behavior and preferences. However, this potential for data collection ...
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  Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers 

  Muhammad Zaidi, Syed Aun; Latif, Siddique; Qadir, Junaid ( IEEE , 2024 , Article)

  Despite the recent progress in emotion recognition, state-of-the-art systems are unable to achieve improved performance in cross-language settings. In this article we propose a Multimodal Dual Attention Transformer (MDAT) ...
• Robotics Primer for Independent Learners: Background, Curriculum, Resources, and Tips 

  Gull, Rafay Aamir; Bin Mohamed Izham, Mohamed Daniel; Qadir, Junaid ( IEEE , 2023 , Conference paper)

  This paper presents a primer for learners interested in self-study of robotics, a multidisciplinary field that involves the design, construction, and operation of robots having wide-ranging applications in industries such ...
• Energy-aware Theft Detection based on IoT Energy Consumption Data 

  Nadeem, Zunaira; Aslam, Zeeshan; Jaber, Mona; Qayyum, Adnan; Qadir, Junaid ( IEEE , 2023 , Conference paper)

  With the advent of modern smart grid networks, advanced metering infrastructure provides real-time information from smart meters (SM) and sensors to energy companies and consumers. The smart grid is indeed a paradigm that ...
• AI Generated Content in the Metaverse: Risks and Mitigation Strategies 

  Basyoni, Lamiaa; Qadir, Junaid ( IEEE , 2023 , Conference paper)

  The Metaverse has introduced a vast virtual environment where Artificial Intelligence Generated Content (AIGC) plays a crucial role in content creation. However, the increasing popularity of AIGC has raised concerns regarding ...
• ChatGPT and Large Language Models in Healthcare: Opportunities and Risks 

  Ali, Hazrat; Qadir, Junaid; Alam, Tanvir; Househ, Mowafa; Shah, Zubair ( IEEE , 2023 , Conference paper)

  ChatGPT, a pre-Trained large language model (LLM), has the potential to transform healthcare by providing valid clinical insights and reducing doctors' workload. There are already signs that such tools can be useful for ...
• SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection 

  Qayyum, Adnan; Bilal, Muhammad; Qadir, Junaid; Caputo, Massimo; Vohra, Hunaid; Akinosho, Taofeek; Berrou, Ilhem; Niyi-Odumosu, Faatihah; Loizou, Michael; Ajayi, Anuoluwapo; Abioye, Sofiat... more authors ... less authors ( IEEE , 2023 , Conference paper)

  In recent times, surgical data science has emerged as an important research discipline in interventional healthcare. There are many potential applications for analysing endoscopic surgical videos using machine learning ...

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