Arshad Farhad

According to our database, Arshad Farhad authored at least 26 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Resource Management in LoRaWAN With Interpretability.

Arshad Farhad, Muhammad Khurram Ehsan, Ali Hassan Sodhro, Huawei Huang

IEEE Trans. Consumer Electron., February, 2026

LinUCB-SF: A Lightweight Linear Upper Confidence Bandit for Device-Side Spreading Factor Selection in LoRaWAN.

Arshad Farhad, Jae-Young Pyun, Muhammad Khurram Ehsan, Ali Hassan Sodhro, Shahid Mumtaz

IEEE Internet Things J., 2026

LSML-SF: a lightweight stacked ML approach for spreading factor allocation in mobile IoT LoRaWAN networks.

Arshad Farhad, Muhammad Ali Lodhi, Farhan Nisar, Hassan Jalil Hadi, Naveed Ahmad, Mohamad I. Ladan

Frontiers Artif. Intell., 2026

2025

Enhanced adaptive data rate strategies for energy-efficient Internet of Things communication in LoRaWAN.

Muhammad Ali Lodhi, Lei Wang, Khalid Mahmood, Arshad Farhad, Jenhui Chen, Saru Kumari

Int. J. Commun. Syst., January, 2025

A Contextual Aware Enhanced LoRaWAN Adaptive Data Rate for mobile IoT applications.

Muhammad Ali Lodhi, Lei Wang, Arshad Farhad, Khalid Ibrahim Qureshi, Jenhui Chen, Khalid Mahmood, Ashok Kumar Das

Comput. Commun., 2025

Machine Learning-Powered Malware Detection in Encrypted IoT Traffic.

Arshad Farhad, Muhammad Irfan Khan, Ali Hassan Sodhro, Muhammad Khurram Ehsan, Fatiha Djebbar

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

2023

AI-ERA: Artificial Intelligence-Empowered Resource Allocation for LoRa-Enabled IoT Applications.

Arshad Farhad, Jae-Young Pyun

IEEE Trans. Ind. Informatics, December, 2023

LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning.

Arshad Farhad, Jae-Young Pyun

Sensors, August, 2023

UWB Positioning System Based on LSTM Classification With Mitigated NLOS Effects.

Dae-Ho Kim, Arshad Farhad, Jae-Young Pyun

IEEE Internet Things J., January, 2023

Terahertz Meets AI: The State of the Art.

Arshad Farhad, Jae-Young Pyun

Sensors, 2023

Mobility Adaptive Data Rate Based on Kalman Filter for LoRa-Empowered IoT Applications.

Arshad Farhad, Goo-Rak Kwon, Jae-Young Pyun

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Resource Management for Massive Internet of Things in IEEE 802.11ah WLAN: Potentials, Current Solutions, and Open Challenges.

Arshad Farhad, Jae-Young Pyun

Sensors, 2022

R-ARM: Retransmission-Assisted Resource Management in LoRaWAN for the Internet of Things.

Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun

IEEE Internet Things J., 2022

ND-ADR: Nondestructive adaptive data rate for LoRaWAN Internet of Things.

Muhammad Ali Lodhi, Lei Wang, Arshad Farhad

Int. J. Commun. Syst., 2022

HADR: A Hybrid Adaptive Data Rate in LoRaWAN for Internet of Things.

Arshad Farhad, Jae-Young Pyun

ICT Express, 2022

Deep Learning-Based Channel Adaptive Resource Allocation in LoRaWAN.

Arshad Farhad, Dae-Ho Kim, Jeong-Sun Yoon, Jae-Young Pyun

Proceedings of the International Conference on Electronics, Information, and Communication, 2022

2021

A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things.

Arshad Farhad, Sandra I. Woolley, Peter Andras

Proceedings of the Public Health and Informatics, 2021

Feasibility Study of the LoRaWAN blind Adaptive Data Rate.

Arshad Farhad, Dae-Ho Kim, Jeong-Sun Yoon, Jae-Young Pyun

Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021

Federated learning for AI to improve patient care using wearable and IoMT sensors.

Arshad Farhad, Sandra I. Woolley, Peter Andras

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Enhanced LoRaWAN Adaptive Data Rate for Mobile Internet of Things Devices.

Arshad Farhad, Dae-Ho Kim, Santosh Subedi, Jae-Young Pyun

Sensors, 2020

Resource Allocation to Massive Internet of Things in LoRaWANs.

Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun

Sensors, 2020

Content-based dynamic superframe adaptation for Internet of Medical Things.

Yousaf Zia, Arshad Farhad, Faisal Bashir, Kashif Naseer Qureshi, Ghufran Ahmed

Int. J. Distributed Sens. Networks, 2020

Mobility-Aware Resource Assignment to IoT Applications in Long-Range Wide Area Networks.

Arshad Farhad, Dae-Ho Kim, BeomHun Kim, Alaelddin Fuad Yousif Mohammed, Jae-Young Pyun

IEEE Access, 2020

2019

Scalability of LoRaWAN in an Urban Environment: A Simulation Study.

Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun

Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, 2019

Interference-Aware Spreading Factor Assignment Scheme for the Massive LoRaWAN Network.

Arshad Farhad, Dae-Ho Kim, Pranesh Sthapit, Jae-Young Pyun

Proceedings of the International Conference on Electronics, Information, and Communication, 2019

2016

Survey of Dynamic Super-Frame Adjustment Schemes in Beacon-Enabled IEEE 802.15.4 Networks: An Application's Perspective.

Arshad Farhad, Yousaf Zia, Faisal Bashir Hussain

Wirel. Pers. Commun., 2016