Sink-to-Sink Coordination Framework Using RPL: Routing Protocol for Low Power and Lossy Networks. - Meer M. Khan; Muhammad Ali Lodhi; Abdul Rehman; Abid Khan; Faisal Bashir Hussain (J. Sensors, 2016)

Transient Multipath routing protocol for low power and lossy networks. - Muhammad Ali Lodhi; Abdul Rehman; Meer M. Khan; Muhammad Asfand-e-yar; Faisal Bashir Hussain (KSII Trans. Internet Inf. Syst., 2017)

Data trustworthiness in IoT. - Sabah Suhail; Choong Seon Hong; Muhammad Ali Lodhi; Faheem Zafar; Abid Khan; Faisal Bashir Hussain (ICOIN, 2018)

An enhanced and provably secure multi-factor authentication scheme for Internet-of-Multimedia-Things environments. - Khalid Mahmood 002; Waseem Akram 003; Akasha Shafiq; Izwa Altaf; Muhammad Ali Lodhi; SK Hafizul Islam (Comput. Electr. Eng., 2020)

ND-ADR: Nondestructive adaptive data rate for LoRaWAN Internet of Things. - Muhammad Ali Lodhi; Lei Wang 005; Arshad Farhad (Int. J. Commun. Syst., 2022)

Secure and Privacy-Preserving Intrusion Detection and Prevention in the Internet of Unmanned Aerial Vehicles. - Ernest Ntizikira; Lei Wang 005; Fahad Alblehai; Kiran Saleem; Muhammad Ali Lodhi (Sensors, 2023)

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)

Enhanced adaptive data rate strategies for energy-efficient Internet of Things communication in LoRaWAN. - Muhammad Ali Lodhi; Lei Wang 005; Khalid Mahmood 002; Arshad Farhad; Jenhui Chen; Saru Kumari (Int. J. Commun. Syst., 2025)

AI-Enhanced Resource Allocation for LPWAN-Based LoRaWAN:A Hybrid TinyML and Deep Learning Approach. - Muhammad Ali Lodhi; Xiaobing Sun; Khalid Mahmood 002; Anum Lodhi; Youngho Park 005; Majid Hussain (IEEE Internet Things J., 2025)