Fake News Detection on Social Media for Sustainable Trust-based Social Networking. - Maryam Bukhari; Muazzam Maqsood; Seungmin Rho (CSCI, 2021)

An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions. - Maryam Bukhari; Khalid Bashir Bajwa; Saira Andleeb Gillani; Muazzam Maqsood; Mehr Yahya Durrani; Irfan Mehmood; Hassan Ugail; Seungmin Rho (IEEE Access, 2021)

Small obstacles detection on roads scenes using semantic segmentation for the safe navigation of autonomous vehicles. - Sadaf Yasmin; Mehr Yahya Durrani; Saira Andleeb Gillani; Maryam Bukhari; Muazzam Maqsood; Manaf Zghaibeh (J. Electronic Imaging, 2022)

Exploiting vulnerability of convolutional neural network-based gait recognition system. - Maryam Bukhari; Mehr Yahya Durrani; Saira Andleeb Gillani; Sadaf Yasmin; Seungmin Rho; Sang-Soo Yeo (J. Supercomput., 2022)

A computer-aided diagnostic system for liver tumor detection using modified U-Net architecture. - Anum Kalsoom; Muazzam Maqsood; Sadaf Yasmin; Maryam Bukhari; Zian Shin; Seungmin Rho (J. Supercomput., 2022)

Secure Gait Recognition-Based Smart Surveillance Systems Against Universal Adversarial Attacks. - Maryam Bukhari; Sadaf Yasmin; Saira Andleeb Gillani; Muazzam Maqsood; Seungmin Rho; Sang Soo Yeo (J. Database Manag., 2023)

Language and vision based person re-identification for surveillance systems using deep learning with LIP layers. - Maryam Bukhari; Sadaf Yasmin; Sheneela Naz; Muazzam Maqsood; Jehyeok Rew; Seungmin Rho (Image Vis. Comput., 2023)

An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities. - Muazzam Maqsood; Sadaf Yasmin; Saira Andleeb Gillani; Maryam Bukhari; Seungmin Rho; Sang-Soo Yeo (Frontiers Comput. Sci., 2023)

POSNet: a hybrid deep learning model for efficient person re-identification. - Eliza Batool; Saira Andleeb Gillani; Sheneela Naz; Maryam Bukhari; Muazzam Maqsood; Sang-Soo Yeo; Seungmin Rho (J. Supercomput., 2023)

A Multifaceted Approach to Stock Market Trading Using Reinforcement Learning. - Yasmeen Ansari; Saira Andleeb Gillani; Maryam Bukhari; Byeongcheon Lee; Muazzam Maqsood; Seungmin Rho (IEEE Access, 2024)

Object detection under the lens of privacy: A critical survey of methods, challenges, and future directions. - Jihoon Moon; Maryam Bukhari; Chomyong Kim; Yunyoung Nam; Muazzam Maqsood; Seungmin Rho (ICT Express, 2024)

KGR: A Kernel-Mapping Based Group Recommender System Using Trust Relations. - Maryam Bukhari; Muazzam Maqsood; Farhan Aadil (Neural Process. Lett., 2024)

A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading. - Asma Sattar; Amna Sarwar; Saira Andleeb Gillani; Maryam Bukhari; Seungmin Rho; Muhammad Faseeh (IEEE Access, 2025)

A novel inter-intra graph neural networks for stock price forecasting modeling cross-border relationships. - Maryam Bukhari; Muazzam Maqsood; Asma Sattar (Expert Syst. Appl., 2025)

An actor-critic based recommender system with context-aware user modeling. - Maryam Bukhari; Muazzam Maqsood; Farhan Adil (Artif. Intell. Rev., 2025)

Sentiment aware kernel mapping recommender system for Amazon product recommendations. - Maryam Bukhari; Muazzam Maqsood; Mustansar Ali Ghazanfar; Asma Sattar (Pattern Anal. Appl., 2025)