Bahria University

DR ARSHAD FARHAD

PERSONAL INFORMATION
Email	arshadfarhad.buic@bahria.edu.pk
Phone Ext.	9260002 ext1243
Research Areas / Expertise	AI for wireless communication and security

Publications

Journals & Conferences

• A Contextual Aware Enhanced LoRaWAN Adaptive Data Rate for mobile IoT applications | Computer Communications
• UWB Positioning System Based on LSTM Classification With Mitigated NLOS Effects | IEEE Internet of Things Journal
• HADR: A Hybrid Adaptive Data Rate in LoRaWAN for Internet of Things | ICT Express
• Enhanced LoRaWAN Adaptive Data Rate for Mobile Internet of Things Devices | Sensors
• Resource Allocation to Massive Internet of Things in LoRaWANs | Sensors
• Resource Management for Massive Internet of Things in IEEE 802.11ah WLAN: Potentials, Current Solutions, and Open Challenges | Sensors
• Terahertz Meets AI: The State of the Art | Sensors
• LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning | Sensors
• Mobility-Aware Resource Assignment to IoT Applications in Long-Range Wide Area Networks | IEEE Access
• R-ARM: Retransmission-Assisted Resource Management in LoRaWAN for the Internet of Things | IEEE Internet of Things Journal
• AI-ERA: Artificial Intelligence-Empowered Resource Allocation for LoRa-Enabled IoT Applications | IEEE Transactions on Industrial Informatics
• Enhanced adaptive data rate strategies for energy‐efficient Internet of Things communication in LoRaWAN | Communication Systems
• When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system | Green Energy and Intelligent Transportation