Waseem Ullah
Waseem Ullah /
Ph.D. Student

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https://www.researchgate.net/profile/Waseem-Ullah-9

Description

Waseem Ullah received his Ph.D. degree from the Department of Digital Contents, Sejong University, Seoul, Republic of Korea (Feb 2023). His research interests include anomaly detection and surveillance video analysis, image processing, bioinformatics, pattern recognition, and medical image analysis. He is currently a Postdoctoral Research Fellow at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Publications in IMLab Lab

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International Journal Papers


    2026
  1. Class-incremental learning network for real-time anomaly recognition in surveillance environments
    Adnan Hussain, Waseem Ullah , Noman Khan, Zulfiqar Ahmad Khan, Hikmat Yar, Sung Wook Baik*
    Pattern Recognition, vol. 170, pp. 112064, 2026 [🌐 Online]

    2. 2025
  2. Optimal features driven hybrid attention network for effective video summarization
    Habib Khan, Samee Ullah Khan, Waseem Ullah , Sung Wook Baik*
    Engineering Applications of Artificial Intelligence, vol. 158, pp. 111211, 2025 [🌐 Online]

International Conference Papers


    2020
  1. An Adaptive Filtering Technique for Segmentation of Tuberculosis in Microscopic Images
    Zulfiqar Ahmad Khan, Waseem Ullah , Amin Ullah, Seungmin Rho, Mi Young Lee, Sung Wook Baik*
    Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR), 2020 [📃 Full-Text]