Zulfiqar Ahmad Khan
Zulfiqar Ahmad Khan /
Ph.D. Student
mzulfiqar3797@gmail.com
Google Scholar
Linkedin
Zulfiqar-Khan-11
zulfiqarahmadkhan

Description

Zulfiqar Ahmad Khan is a Ph.D. graduate specialized in time-series data analysis, computer vision, and IoT programming. He served as a Coordinator of the Intelligent Media Laboratory (IMLab), where he led a research group and supervised diverse projects. His research focuses on time-series forecasting for smart grid management using statistical, machine learning, and hybrid deep learning models. In computer vision, he has worked on fire detection, object detection, and anomaly recognition using advanced deep learning techniques. He has also explored active, incremental, and federated learning for adaptive and scalable solutions, and applies Explainable AI (XAI) for model interpretability. He is currently a Postdoctoral Scholar at Umeå University, Sweden (2025).

Education

  • Ph.D. (Sep 2019 – Feb 2025), Sejong University, Seoul, South Korea
    Thesis: A Study of Spatiotemporal Feature Analysis using Deep Hybrid Models for Power Forecasting.
  • M.Sc. (Aug 2016 – Aug 2018), Islamia College Peshawar, KPK, Pakistan
    Final Year Project: Towards smart home automation using IoT-enabled edge-computing paradigm.
  • B.Sc. (Aug 2014 – Aug 2016), Govt. Post Graduate College, Timergara, Dir Lower, KPK, Pakistan

Publications in IMLab Lab

Quick Links

International Journal Papers


    2026
  1. Deep hybrid network with additive attention for accurate population forecasting
    Hikmat Yar, Adnan Hussain, Zulfiqar Ahmad Khan , Min Je Kim, Sung Wook Baik*
    Soft Computing, pp. 1-18, 2026 [🌐 Online]
  2. 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]
  3. A novel deep learning framework for battery performance prediction over the operational lifespan
    Hikmat Yar, Zulfiqar Ahmad Khan , Adnan Hussain, Sang Il Yoon, Seoa Kim, Jungwook Choi, Chan Mi Jeon, Huisu Jeung, Kyungjung Kwon, Sung Wook Baik*
    Journal of Energy Storage, vol. 143, pp. 119359, 2026 [🌐 Online]

    4. 2025
  4. Edge-assisted framework for instant anomaly detection and cloud-based anomaly recognition in smart surveillance
    Adnan Hussain, Noman Khan, Zulfiqar Ahmad Khan , Hikmat Yar, Sung Wook Baik*
    Engineering Applications of Artificial Intelligence, vol. 160, pp. 111936, 2025 [🌐 Online]
  5. Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis
    Muhammad Munsif, Altaf Hussain, Zulfiqar Ahmad Khan , Min Je Kim, Sung Wook Baik*
    Advanced Engineering Informatics, vol. 67, pp. 103462, 2025 [🌐 Online]

International Conference Papers


    2024
  1. Dual Deep Learning Network for Abnormal Action Detection
    Fath U Min Ullah, Zulfiqar Ahmad Khan , Sung Wook Baik*, Estefania Talavera, Saeed Anwar, Khan Muhammad
    IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2024 [🌐 Online] [📃 Full-Text]

    2. 2020
  2. 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]

Domestic Journal Papers


    2021
  1. Fire detection via effective vision transformers

    Hikmat Yar, Tanveer Hussain, Zulfiqar Ahmad Khan , Mi Young Lee, Sung Wook Baik*
    Journal of the Korea Next Generation Computing Society, vol. 17, no. 5, pp. 21-30, 2021 [🌐 Online]