IoT enabled adaptive clustering based energy efficient routing protocol for wireless sensor networks. - Muhammad Asad 002; Muhammad Aslam 004; Nianmin Yao; Naeem Ayoub; Khalid Ibrahim Qureshi; Ehsan Ullah Munir (Int. J. Ad Hoc Ubiquitous Comput., 2019)

A Review on Design and Implementation of Software-Defined WLANs. - Khalid Ibrahim Qureshi; Lei Wang 005; Liang Sun 006; Chunsheng Zhu; Lei Shu 001 (IEEE Syst. J., 2020)

SOSW: scalable and optimal nearsighted location selection for fog node deployment and routing in SDN-based wireless networks for IoT systems. - Muhammad Ibrar; Lei Wang 005; Gabriel-Miro Muntean; Nadir Shah; Aamir Akbar; Khalid Ibrahim Qureshi (Ann. des Télécommunications, 2021)

Localized Adaptive Channel and Power Selection With TinyML (LACPSA) in Dense IEEE 802.11 WLANs. - Khalid Ibrahim Qureshi; Cheng Lu; Ruoheng Luo; Muhammad Ali Lodhi; Lei Wang (SmartIoT, 2024)

Asynchronous Federated Learning for Resource Allocation in Software-Defined Internet of UAVs. - Khalid Ibrahim Qureshi; Lei Wang 005; Xuanrui Xiong; Muhammad Ali Lodhi (IEEE Internet Things J., 2024)

Tiny Machine Learning for Efficient Channel Selection in LoRaWAN. - Muhammad Ali Lodhi; Mohammad S. Obaidat; Lei Wang 005; Khalid Mahmood 002; Khalid Ibrahim Qureshi; Jenhui Chen; Kuei-Fang Hsiao (IEEE Internet Things J., 2024)

A Contextual Aware Enhanced LoRaWAN Adaptive Data Rate for mobile IoT applications. - Muhammad Ali Lodhi; Lei Wang 005; Arshad Farhad; Khalid Ibrahim Qureshi; Jenhui Chen; Khalid Mahmood 002; Ashok Kumar Das (Comput. Commun., 2025)