Muhammad Abdullah Khan

According to our database, Muhammad Abdullah Khan authored at least 10 papers between 2015 and 2025.

Collaborative distances:

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

2025

Beyond publication numbers: a novel approach to academic ranking using evolutionary programming.

Ghulam Mustafa, Muhammad Tanvir Afzal, Abid Rauf, Muhammad Abdullah Khan

Evol. Intell., June, 2025

2024

Analysis of Penicillin Binding Sites for Determining Antibiotic Resistance in Pakistan.

Muhammad Abdullah Khan, Eesha Adnan, Aena Rasheed, Amna Farrukh, Amna Amin Sethi

Int. J. Bioinform. Res. Appl., 2024

2023

Dedicated versus Shared Element-Allotment in IRS-aided Wireless Systems: When to Use What?

Mahnoor Anjum, Muhammad Abdullah Khan, Sarah Basharat, Syed Ali Hassan, Haejoon Jung

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Machine Learning-Based Resource Allocation for IRS-Aided UAV Networks.

Muhammad Abdullah Khan, Mahnoor Anjum, Syed Ali Hassan, Haejoon Jung

Proceedings of the IEEE Global Communications Conference, 2023

A Multi-Level ML-Based Optimization Framework for IIoT Networks with Distributed IRS Assisted UAVs.

Mahnoor Anjum, Muhammad Abdullah Khan, Syed Ali Hassan, Haejoon Jung, Aamir Mahmood, Mikael Gidlund

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Analysis of time-weighted LoRa-based positioning using machine learning.

Mahnoor Anjum, Muhammad Abdullah Khan, Syed Ali Hassan, Haejoon Jung, Kapal Dev

Comput. Commun., 2022

2020

RSSI Fingerprinting-Based Localization Using Machine Learning in LoRa Networks.

Mahnoor Anjum, Muhammad Abdullah Khan, Syed Ali Hassan, Aamir Mahmood, Hassaan Khaliq Qureshi, Mikael Gidlund

IEEE Internet Things Mag., 2020

2019

Analysis of RSSI Fingerprinting in LoRa Networks.

Mahnoor Anjum, Muhammad Abdullah Khan, Syed Ali Hassan, Aamir Mahmood, Mikael Gidlund

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

2015

Highly linear and reliable low band class-O RF power amplifier in 130 nm CMOS technology for 4G LTE applications.

Muhammad Abdullah Khan, Ahmed Farouk Aref, Muh-Dey Wei, Renato Negra

Proceedings of the Nordic Circuits and Systems Conference, 2015

2.6 Class-0: A highly linear class of power amplifiers in 0.13μm CMOS for WCDMA/LTE applications.

Ahmed Farouk Aref, Renato Negra, Muhammad Abdullah Khan

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015