M Zubair Islam, Sejong University, Seoul, South Korea

Muhammad Zubair Islam

Assistant Professor
Department of AI and Robotics
Sejong University, South Korea
Imagination is more important than knowledge. Knowledge is limited. Imagination encircles the world

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News

[09.2025]  Our paper HFRF-Net is published by Expert Systems with Applications Journal (Q1 Top 10%)

[03.2024]  Join Sejong University as Assistant Professor in the Department of AI and Robotics.

[09.2023]  Join MSISLAB as postdoctoral researcher at Chungbuk National University, South Korea under the supervision of Prof. HyungWon Kim.

[08.2023]  Completed PhD degree at Sejong University, Seoul, South Korea.

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Short Bio

​I am currently a Assistant Professor in the Department of AI and Robotics,  Sejong University, Seoul, South Korea., and a member of  Multi-modal Intelligent NEural System (MINES) Lab . Previously, I received the my Ph.D and M. Eng. degree from Sejong University, Seoul, South Korea, under the supervison of Prof. Hyung Seok Kim.

My research focused on the intersection of deep learning and healthcare, particularly in Next-generation communication technologies (Tactile Internet, Internet of Senses).

Publications
HFRF-Net paper
Dual-task hierarchical feature refinement and fusion network for precise segmentation of surgical tools and polyps in endoscopy

Zain Ul Abidin, Rizwan Ali Naqvi, Muhammad Zubair Islam, Hyung Seok Kim, Abbas Jafar, Daesik Jeong, Seung-Won Lee

[paper]

AMU-Net paper
Uncertainty-Aware Adaptive Multiscale U-Net for Low-Contrast Cardiac Image Segmentation

A. S. M. Sharifuzzaman Sagar, Muhammad Zubair Islam, Jawad Tanveer, Hyung Seok Kim

[paper]

Head and Neck paper
Automatic delineation and prognostic assessment of head and neck tumor lesion in multi-modality positron emission tomography/computed tomography images based on deep learning: A survey

Zain Ul Abidin, Rizwan Ali Naqvi, Muhammad Zubair Islam, Abbas Jafar, Seung-Won Lee, Hyung Seok Kim

[paper]

ECI-TeleCarin paper
Enabling Pandemic-Resilient Healthcare: Edge-Computing-Assisted Real-Time Elderly Caring Monitoring System

Muhammad Zubair Islam, A. S. M. Sharifuzzaman Sagar, Hyung Seok Kim

[paper] [Code] [Dataeet]

UA-FedRL
Uncertainty-Aware Federated Reinforcement Learning for Optimizing Accuracy and Energy in Heterogeneous Industrial IoT

A. S. M. Sharifuzzaman Sagar, Muhammad Zubair Islam,Amir Haider, Hyung Seok Kim

[paper]

PT/CT Survey
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey

Muhammad Zubair Islam, Rizwan Ali Naqvi, Amir Haider, Hyung Seok Kim

[paper]

Services
  • Teaching:
    • Internet of Things
    • Computer Networks
  • Reviewer at reputed journals (Detailed history at Publoans ):
    • Engineering Applications of Artificial Intelligenc
    • Journal of Digital Imaging
    • Discover Sustainability
    • Peer-to-Peer Networking and Applications
    • Wireless Personal Communications
    • IEEE Access
    • Applied Sciences
    • Electronics
    • Sensors
    • International Journal of Distributed Sensor Networks