• Numerical modeling with experimental verification investigating the effects of nonlinearities on the sideband peak count-index technique and topological acoustic sensing 

  Zhang, Guangdong; Hu, Bo; Alnuaimi, Hamad; Amjad, Umar; Deymier, Pierre A.; Runge, Keith; Kundu, Tribikram... more authors ... less authors ( SPIE , 2024 , Conference)

  A newly developed nonlinear ultrasonic (NLU) technique called sideband peak count-index (or SPC-I) measures the degree of nonlinearity in materials by counting the sideband peaks above a moving threshold line - larger the ...
• Advances in functionalization and conjugation mechanisms of dendrimers with iron oxide magnetic nanoparticles 

  Habib, Salma; Talhami, Mohammed; Hassanein, Amani; Mahdi, Elsadig; AL-Ejji, Maryam; Hassan, Mohammad K.; Altaee, Ali; Das, Probir; Hawari, Alaa H.... more authors ... less authors ( Royal Society of Chemistry , 2024 , Article Review)

  Iron oxide magnetic nanoparticles (MNPs) are crucial in various areas due to their unique magnetic properties. However, their practical use is often limited by instability and aggregation in aqueous solutions. This review ...
• Eco-friendly freestanding superhydrophobic thin films and coatings for corrosion protection 

  Saleem, Junaid; Moghal, Zubair Khalid Baig; Fayyaz, Osama; Nawaz, Muddasir; Shakoor, R.A.; McKay, Gordon... more authors ... less authors ( Springer Nature , 2024 , Article)

  Superhydrophobic surfaces and coatings have gained significant attention for their potential in anti-corrosion applications, yet they present several challenges. These coatings typically lack the flexibility to function ...
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  Photocatalytic degradation of organic dyes using reduced graphene oxide (rGO) 

  Shabil Sha, Mizaj; Anwar, Hayarunnisa; Musthafa, Farzana N.; Al-Lohedan, Hamad; Alfarwati, Sarya; Rajabathar, Jothi Ramalingam; Khalid Alahmad, Johaina; Cabibihan, John-John; Karnan, Muthusamy; Kumar Sadasivuni, Kishor... more authors ... less authors ( Nature Research , 2024 , Article)

  Photocatalysts have developed into a successful strategy for degrading synthetic and organic toxins, such as chemicals and dyes, in wastewater. In this study, graphene oxide was reduced at different temperatures and used ...
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  Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers 

  Singh, Alok Kumar; Kumar, Devendra; Gemmati, Donato; Ellur, Ranjith Kumar; Singh, Ashutosh; Tisato, Veronica; Dwivedi, Devendra Kumar; Singh, Sanjay Kumar; Kumar, Kishor; Khan, Nawaz Ahmad; Singh, Ajay Vikram... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)

  Genetic variability in rice breeding programs plays a very crucial role. It provides an outstanding pool of superior alleles governing better agronomic and quality characters through association mapping. For a greater ...
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  Stretch-Induced Spin-Cast Membranes Based on Semi-Crystalline Polymers for Efficient Microfiltration 

  Saleem, Junaid; Moghal, Zubair Khalid Baig; Hafeez, Ahsan; Sajjad, Samra; Shoaib, Mohammad; Alahmad, Johaina; McKay, Gordon... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)

  Microfiltration membranes derived from semi-crystalline polymers face various challenges when synthesized through the extrusion–casting technique, including the use of large quantities of polymer, long casting times, and ...
• 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, ...
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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 ...
• 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) ...
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  Robust multi-label surgical tool classification in noisy endoscopic videos 

  Qayyum, Adnan; Ali, Hassan; Caputo, Massimo; Vohra, Hunaid; Akinosho, Taofeek; Abioye, Sofiat; Berrou, Ilhem; Capik, Paweł; Qadir, Junaid; Bilal, Muhammad... more authors ... less authors ( Nature Research , 2025 , Article)

  Over the past few years, surgical data science has attracted substantial interest from the machine learning (ML) community. Various studies have demonstrated the efficacy of emerging ML techniques in analysing surgical ...

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