Label-Free Cancer Cells Detection Using Optical Sensors. - Mahmoud Al Ahmad; Adel Najar; Amine El Moutaouakil; Nida Nasir; Minas Hussein; Shaima Raji; Ali Hilal-Alnaqbi (IEEE Access, 2018)

Multi Sensing Platform for Real time Water Monitoring using Electromagnetic Sensor. - Omar Alshaltone; Nida Nasir; Feras Barneih; Eqab A. L. Majali; Ahmed Al-Shamma'a (DeSE, 2021)

5G Ring Antenna for Internet of Medical Things (IoMT) Applications. - Feras Barneih; Eqab A. L. Majali; Omar Alshaltone; Nida Nasir; Ahmed Al-Shamma'a (DeSE, 2021)

Hypertension Classification using Machine Learning - Part I. - Nida Nasir; Omar Alshaltone; Feras Barneih; Mohammad Al-Shabi; Talal Bonny; Ahmed Al-Shamma'a (DeSE, 2021)

Hypertension Classification Using Machine Learning Part II. - Nida Nasir; Paul Oswald; Feras Barneih; Omar Alshaltone; Mohammad AlShabi 001; Talal Bonny; Ahmed Al-Shamma'a (DeSE, 2021)

Detection of Epileptic Seizure using Discrete Wavelet Transform on Gamma band and Artificial Neural Network. - Mahmmud Qatmh; Talal Bonny; Nida Nasir; Mohammad Al-Shabi; Ahmed Al-Shamma'a (DeSE, 2021)

A Verified Protocol for Secure Autonomous and Cooperative Public Transportation in Smart Cities. - Hussam M. N. Al Hamadi; Nida Nasir; Chan Yeob Yeun; Ernesto Damiani (ICC Workshops, 2021)

Artificial Intelligence (AI) in the diagnosis of COVID-19 Detection: A Review. - Neethu Mohan; Saifudeen Kabeer; Nida Nasir (ICECS, 2021)

A Transfer Learning Approach for Diabetic Retinopathy and Diabetic Macular Edema Severity Grading. - Nida Nasir; Neda Afreen; Ranjeeta Patel; Simran Kaur 002; Mustafa Sameer (Rev. d'Intelligence Artif., 2021)

Review of Machine Learning Advancements for Single-Cell Analysis. - Nida Nasir; Mohammad Al-Shabi; Nabeel Al-Yateem; Syed Azizur Rahman; Muhammad Arsyad Subu; Heba Hesham Hijazi; Fatma Refaat Ahmed; Jacqueline Maria Dias; Amina Al-Marzouqi; Mohammad Yousef Alkhawaldeh; Ahmad Rajeh Saifan; Mohannad Eid AbuRuz (COMPSAC, 2023)

Challenges of Artificial Intelligence in Medicine. - Nida Nasir; Mohammad Al-Shabi; Nabeel Al-Yateem; Syed Azizur Rahman; Muhammad Arsyad Subu; Heba Hesham Hijazi; Fatma Refaat Ahmed; Jacqueline Maria Dias; Amina Al-Marzouqi; Mohammad Yousef Alkhawaldeh; Mohannad Eid AbuRuz; Ahmad Rajeh Saifan (COMPSAC, 2023)

Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans. - Nida Nasir; Afreen Kansal; Feras Barneih; Omar Alshaltone; Talal Bonny; Mohammad Al-Shabi; Ahmed Al-Shamma'a (Intell. Syst. Appl., 2023)

Deep learning detection of types of water-bodies using optical variables and ensembling. - Nida Nasir; Afreen Kansal; Omar Alshaltone; Feras Barneih; Abdallah Shanableh; Mohammad Al-Shabi; Ahmed Al-Shamma'a (Intell. Syst. Appl., 2023)

Optimized Shape Design of a Dual-Band Circular Slot High Gain Array Antenna Using Genetic Algorithm for 2.4 GHz Applications. - Abdelbasset Azzouz; Nida Nasir; Rachid Bouhmidi; Hussam M. N. Al Hamadi (ICSPIS, 2024)

Alzheimer's Magnetic Resonance Imaging Classification Using Deep and Meta-Learning Models. - Nida Nasir; Muneeb Ahmed; Neda Afreen; Mustafa Sameer (CoRR, 2024)

Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels. - Nida Nasir; Mustafa Sameer; Feras Barneih; Omar Alshaltone; Muneeb Ahmed (CoRR, 2024)

Edge AI-powered marine pollution classification with customized CNN model. - Sanjai Palanisamy; Talal Bonny; Nida Nasir; Mohammad Al Shabi; Ahmed Al Shammaa (Neural Comput. Appl., 2025)