SDNs, Clouds, and Big Data: New Opportunities. - Junaid Qadir 001; Nauman Ahad; Erum Mushtaq; Muhammad Bilal 005 (FIT, 2014)

Bankruptcy Prediction of Construction Businesses: Towards a Big Data Analytics Approach. - Hafiz Alaka; Lukumon O. Oyedele; Muhammad Bilal 005; Olúgbénga O. Akinadé; Hakeem Owolabi; Saheed Ajayi (BigDataService, 2015)

Big Data in the construction industry: A review of present status, opportunities, and future trends. - Muhammad Bilal 005; Lukumon O. Oyedele; Junaid Qadir 001; Kamran Munir; Saheed Ajayi; Olúgbénga O. Akinadé; Hakeem Owolabi; Hafiz Alaka; Maruf Pasha (Adv. Eng. Informatics, 2016)

Systematic review of bankruptcy prediction models: Towards a framework for tool selection. - Hafiz Alaka; Lukumon O. Oyedele; Hakeem Owolabi; Vikas Kumar 001; Saheed Ajayi; Olúgbénga O. Akinadé; Muhammad Bilal 005 (Expert Syst. Appl., 2018)

Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. - Siddique Latif; Junaid Qadir 001; Muhammad Bilal 005 (ACII, 2019)

A Big Data Analytics Approach for Construction Firms Failure Prediction Models. - Hafiz Alaka; Lukumon O. Oyedele; Hakeem Owolabi; Olúgbénga O. Akinadé; Muhammad Bilal 005; Saheed Ajayi (IEEE Trans. Engineering Management, 2019)

Guidelines for applied machine learning in construction industry - A case of profit margins estimation. - Muhammad Bilal 005; Lukumon O. Oyedele (Adv. Eng. Informatics, 2020)

Secure and Robust Machine Learning for Healthcare: A Survey. - Adnan Qayyum; Junaid Qadir 001; Muhammad Bilal 005; Ala I. Al-Fuqaha (CoRR, 2020)

Big Data with deep learning for benchmarking profitability performance in project tendering. - Muhammad Bilal 005; Lukumon O. Oyedele (Expert Syst. Appl., 2020)

Predicting Completion Risk in PPP Projects Using Big Data Analytics. - Hakeem Owolabi; Muhammad Bilal 005; Lukumon O. Oyedele; Hafiz Alaka; Saheed Ajayi; Olúgbénga O. Akinadé (IEEE Trans. Engineering Management, 2020)

Deep learning and Boosted trees for injuries prediction in power infrastructure projects. - Ahmed Oyedele; Anuoluwapo O. Ajayi; Lukumon O. Oyedele; Juan Manuel Davila Delgado; Lukman Adéwálé Àkànbí; Olúgbénga O. Akinadé; Hakeem Owolabi; Muhammad Bilal 005 (Appl. Soft Comput., 2021)

Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children's structural and functional categorization. - Muhammad Azeem Abbas; Gwo-Jen Hwang; Saheed Ajayi; Ghulam Mustafa; Muhammad Bilal 005 (Comput. Educ. Artif. Intell., 2021)

Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection. - Ahmed Rasheed; Muhammad Shahzad Younis; Junaid Qadir 001; Muhammad Bilal 005 (CoRR, 2021)

A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways. - Taofeek Akinosho; Lukumon O. Oyedele; Muhammad Bilal 005; Ari Yair Barrera-Animas; Abdul-Quayyum Gbadamosi; Oladimeji A. Olawale (Ecol. Informatics, 2022)

SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. - Adnan Qayyum; Muhammad Bilal 005; Junaid Qadir 001; Massimo Caputo; Hunaid Vohra; Taofeek Akinosho; Ilhem Berrou; Faatihah Niyi-Odumosu; Michael Loizou; Anuoluwapo O. Ajayi; Sofiat Abioye (ISBI, 2023)

Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? - Adnan Qayyum; Muhammad Bilal 005; Muhammad Hadi; Pawel Capik; Massimo Caputo; Hunaid Vohra; Ala I. Al-Fuqaha; Junaid Qadir 001 (MetaCom, 2023)

Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data. - Adnan Qayyum; Hassan Ali 001; Massimo Caputo; Hunaid Vohra; Taofeek Akinosho; Sofiat Abioye; Ilhem Berrou; Pawel Capik; Junaid Qadir 001; Muhammad Bilal 005 (CoRR, 2023)

Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning. - Muhammad Bilal 005; Dinis Martinho; Reiner Sim; Adnan Qayyum; Hunaid Vohra; Massimo Caputo; Taofeek Akinosho; Sofiat Abioye; Zaheer Khan 003; Waleed Niaz; Junaid Qadir 001 (CoRR, 2023)

Privacy-preserving artificial intelligence in healthcare: Techniques and applications. - Nazish Khalid; Adnan Qayyum; Muhammad Bilal 005; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Biol. Medicine, 2023)

Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis. - Adam Byfield; William Poulett; Ben Wallace; Anusha Jose; Shatakshi Tyagi; Smita Shembekar; Adnan Qayyum; Junaid Qadir 001; Muhammad Bilal 005 (ISBI, 2024)

A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem. - Muhammad Azeem Abbas; Saheed Ajayi; Muhammad Bilal 005; Ade Oyegoke; Maruf Pasha; Hafiz Tauqeer Ali (J. Ambient Intell. Humaniz. Comput., 2024)

Digital twins for the era of personalized surgery. - Yosra Magdi Mekki; Gijs Luijten; Elisabet Hagert; Sirajeddin Belkhair; Chris Varghese; Junaid Qadir 001; Barry Solaiman; Muhammad Bilal 005; Jaghtar Dhanda; Jan Egger; Jun Deng; Vikas Khanduja; et al. (npj Digit. Medicine, 2025)

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription. - Mahdi Alkaeed; Sofiat Abioye; Adnan Qayyum; Yosra Magdi Mekki; Ilhem Berrou; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Muhammad Bilal 005; Junaid Qadir 001 (CoRR, 2025)

TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation. - Muhammad Bilal 005; Mahmood Alam; Deepa Bapu; Stephan Korsgen; Neeraj Lal; Simon Bach; Amir M. Hajivanand; Muhammed Ali; Kamran Soomro; Iqbal Qasim; Pawel Capik; Aslam Khan; et al. (CoRR, 2025)

Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review. - Ufaq Khan; Umair Nawaz; Adnan Qayyum; Shazad Ashraf; Muhammad Bilal 005; Junaid Qadir 001 (CoRR, 2025)