Model-based dynamic software project scheduling. - Natasha Nigar (ESEC/SIGSOFT FSE, 2017)

Multi-objective dynamic software project scheduling: an evolutionary approach for uncertain environments. - Natasha Nigar (2021)

Modeling Human Resource Experience Evolution for Multiobjective Project Scheduling in Large Scale Software Projects. - Natasha Nigar; Muhammad Kashif Shahzad; Shahid Islam; Satish Kumar; Abdul Jaleel (IEEE Access, 2022)

A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification. - Natasha Nigar; Muhammad Umar; Muhammad Kashif Shahzad; Shahid Islam; Douhadji Abalo (IEEE Access, 2022)

An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach. - Natasha Nigar; Hafiz Muhammad Faisal; Muhammad Kashif Shahzad; Shahid Islam; Olukayode Ayodele Oki (J. Electr. Comput. Eng., 2022)

Multi-Objective Dynamic Software Project Scheduling: A Novel Approach to Handle Employee's Addition. - Natasha Nigar; Muhammad Kashif Shahzad; Shahid Islam; Olukayode Ayodele Oki; Jose Manappattukunnel Lukose (IEEE Access, 2023)

A Novel Multi-Objective Evolutionary Algorithm to Address Turnover in the Software Project Scheduling Problem Based on Best Fit Skills Criterion. - Natasha Nigar; Muhammad Kashif Shahzad; Shahid Islam; Olukayode Ayodele Oki; Jose Manappattukunnel Lukose (IEEE Access, 2023)

An Intelligent Framework Based on Deep Learning for Online Quran Learning during Pandemic. - Natasha Nigar; Amna Wajid; Sunday Adeola Ajagbe; Matthew O. Adigun (Appl. Comput. Intell. Soft Comput., 2023)

Improving Plant Disease Classification With Deep-Learning-Based Prediction Model Using Explainable Artificial Intelligence. - Natasha Nigar; Hafiz Muhammad Faisal; Muhammad Umer; Olukayode Ayodele Oki; Jose Manappattukunnel Lukose (IEEE Access, 2024)

Blockchain-enabled intelligent toll management system. - Shahid Islam; Natasha Nigar; Sunday Adeola Ajagbe; Matthew O. Adigun (J. Intell. Syst., 2024)