Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network. - Shabana Habib; Altaf Hussain 002; Waleed Albattah; Muhammad Islam 002; Sheroz Khan; Rehan Ullah Khan; Khalil Khan (Sensors, 2021)

A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting. - Altaf Hussain 002; Zulfiqar Ahmad Khan 002; Tanveer Hussain 001; Fath U Min Ullah; Seungmin Rho; Sung Wook Baik (Complex., 2022)

Medium Scale Benchmark for Cricket Excited Actions Understanding. - Altaf Hussain 002; Noman Khan; Muhammad Munsif; Min Je Kim; Sung Wook Baik (CVPR Workshops, 2024)

Human centric attention with deep multiscale feature fusion framework for activity recognition in Internet of Medical Things. - Altaf Hussain 002; Samee Ullah Khan; Imad Rida; Noman Khan; Sung Wook Baik (Inf. Fusion, 2024)

Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism. - Waseem Ullah; Samee Ullah Khan; Min Je Kim; Altaf Hussain 002; Muhammad Munsif; Mi Young Lee; Daeho Seo; Sung Wook Baik (J. Comput. Des. Eng., 2024)

Contextual visual and motion salient fusion framework for action recognition in dark environments. - Muhammad Munsif; Samee Ullah Khan; Noman Khan; Altaf Hussain 002; Min Je Kim; Sung Wook Baik (Knowl. Based Syst., 2024)

AI-driven behavior biometrics framework for robust human activity recognition in surveillance systems. - Altaf Hussain 002; Samee Ullah Khan; Noman Khan; Mohammad Shabaz; Sung Wook Baik (Eng. Appl. Artif. Intell., 2024)

A Hybrid Transformer Framework for Efficient Activity Recognition Using Consumer Electronics. - Altaf Hussain 002; Samee Ullah Khan; Noman Khan; Mohammed Wasim Bhatt; Ahmed Farouk; Jyoti Bhola; Sung Wook Baik (IEEE Trans. Consumer Electron., 2024)

Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications. - Muhammad Munsif; Noman Khan; Altaf Hussain 002; Min Je Kim; Sung Wook Baik (IEEE Trans. Ind. Informatics, 2024)

Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis. - Muhammad Munsif; Altaf Hussain 002; Zulfiqar Ahmad Khan 002; Min Je Kim; Sung Wook Baik (Adv. Eng. Informatics, 2025)

Action understanding in low-light and pitch-dark conditions: A comprehensive survey. - Muhammad Munsif; Samee Ullah Khan; Noman Khan; Altaf Hussain 002; Sung Wook Baik (Eng. Appl. Artif. Intell., 2025)

Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network. - Altaf Hussain 002; Tanveer Hussain 001; Waseem Ullah; Samee Ullah Khan; Min Je Kim; Khan Muhammad 001; Javier Del Ser; Sung Wook Baik (IEEE Trans. Big Data, 2025)

Differential attention transformer-enhanced graph neural network for accurate material property prediction. - Kaleem Ullah; Altaf Hussain 002; Muhammad Munsif; Kee-Sun Sohn; Sung Wook Baik (Eng. Appl. Artif. Intell., 2026)

Pseudo-labeling driven refinement of benchmark object detection datasets via analysis of learning patterns. - Min Je Kim; Muhammad Munsif; Altaf Hussain 002; Hikmat Yar; Sung Wook Baik (Neurocomputing, 2026)

Quality over quantity: a data-centric survey of annotation errors in object detection datasets. - Adnan Hussain; Kaleem Ullah; Muhammad Afaq; Muhammad Munsif; Altaf Hussain 002; Sung Wook Baik (Artif. Intell. Rev., 2026)