A Neural Network-Inspired Approach for Improved and True Movie Recommendations. - Muhammad Ibrahim 003; Imran Sarwar Bajwa; Riaz ul Amin; Bakhtiar Kasi (Comput. Intell. Neurosci., 2019)

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach. - Muhammad Shadab Alam Hashmi; Muhammad Ibrahim 003; Imran Sarwar Bajwa; Hafeez Ur Rehman Siddiqui; Furqan Rustam; Ernesto Lee; Imran Ashraf (Sensors, 2022)

An Intelligent Hybrid Neural Collaborative Filtering Approach for True Recommendations. - Muhammad Ibrahim 003; Imran Sarwar Bajwa; Nadeem Sarwar; Fahima Hajjej; Hesham A. Sakr (IEEE Access, 2023)

IoT Network Anomaly Detection in Smart Homes Using Machine Learning. - Nadeem Sarwar; Imran Sarwar Bajwa; Muhammad Zunnurain Hussain; Muhammad Ibrahim 003; Khizra Saleem (IEEE Access, 2023)

Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images. - Muhammad Asad Arshed; Muhammad Ibrahim 003; Shahzad Mumtaz; Muhammad Tanveer 003; Saeed Ahmed (Inf., 2023)

Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models. - Muhammad Asad Arshed; Shahzad Mumtaz; Muhammad Ibrahim 003; Saeed Ahmed; Muhammad Tahir; Muhammad Shafi (Inf., 2023)

Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images. - Muhammad Asad Arshed; Muhammad Ibrahim 003; Shahzad Mumtaz; Tenvir Ali; Gyu Sang Choi (IEEE Access, 2024)

Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model. - Muhammad Asad Arshed; Shahzad Mumtaz; Muhammad Ibrahim 003; Christine Dewi; Muhammad Tanveer 003; Saeed Ahmed (Comput., 2024)

A Sentence-Level Encoder-Decoder Architecture for Designing an Administrative Roman Urdu Chatbot. - Muhammad Nazam Maqbool; Rana Muhammad Saleem; Nadeem Sarwar; Muhammad Ibrahim 003; Muhammad Shadab Alam Hashmi (Appl. Comput. Intell. Soft Comput., 2025)