Street Vendor Detection: Helping municipalities make decisions with actionable insights. - Hatice Nur Agba; Abdullah Tahir (SIU, 2021)

Cardiac X-ray image-based haptic guidance for robot-assisted coronary intervention: a feasibility study. - Abdullah Tahir; Hashim Iqbal; Muhammad Usman 019; Asim Ghaffar; Awais Hafeez (Int. J. Comput. Assist. Radiol. Surg., 2022)

Efficient Approach for Extracting High-Level B-Spline Features from LIDAR Data for Light-Weight Mapping. - Muhammad Usman 019; Ahmad Ali; Abdullah Tahir; Muhammad Zia Ur Rahman 002; Abdul Manan Khan (Sensors, 2022)

A Wearable Multi-Modal Digital Upper Limb Assessment System for Automatic Musculoskeletal Risk Evaluation. - Abdullah Tahir; Shaoping Bai; Ming Shen 001 (Sensors, 2023)

An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients. - Muhammad Zia Ur Rahman 002; Muhammad Azeem Akbar; Víctor Leiva; Abdullah Tahir; Muhammad Tanveer Riaz; Carlos Martín-Barreiro (Comput. Biol. Medicine, 2023)

Robust Payload Recognition Based on Sensor-Over-Muscle-Independence Deep Learning for the Control of Exoskeletons. - Abdullah Tahir; Zeliang An; Shaoping Bai; Ming Shen 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Collaborative Learning-Based Modulation Recognition for 6G Multibeam Satellite Communication Systems via Blind and Semiblind Channel Equalization. - Zeliang An; Yuqing Xu; Abdullah Tahir; Jun Wang 162; Baoze Ma; Gert Frølund Pedersen; Ming Shen 001 (IEEE Trans. Aerosp. Electron. Syst., 2024)

Physics-Informed Scattering Transform Network for Modulation Recognition in 5G Industrial Cognitive Communications Considering Nonlinear Impairments in Active Phased Arrays. - Zeliang An; Yuqing Xu; Abdullah Tahir; Jun Wang 162; Baoze Ma; Gert Frølund Pedersen; Ming Shen 001 (IEEE Trans. Ind. Informatics, 2025)