Muhammad Irfan Khan

According to our database, Muhammad Irfan Khan authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Predictive Modeling of Multi-Label Enzyme Substrate Using Machine Learning.

Sana Tariq, Muhammad Umer Sarwar, Muhammad Kashif Hanif, Muhammad Irfan Khan

IEEE Access, 2025

Evaluating the Effectiveness of Advanced Language Models in Detecting and Mitigating Hallucinations Using Structured Question- Answering, Novel Metrics, and Post-Hoc Retrieval.

Rana Hassan Ajmal, Muhammad Umer Sarwar, Muhammad Kashif Hanif, Muhammad Irfan Khan

IEEE Access, 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

2024

Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation.

Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

CoRR, 2024

Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation.

Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

CoRR, 2024

2023

Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation.

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

CoRR, 2023

RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs.

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022

Caricature Face Photo Facial Attribute Similarity Generator.

Muhammad Irfan Khan, Muhammad Kashif Hanif, Ramzan Talib

Complex., 2022

Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.

Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning.

Maria Bibi, Muhammad Kashif Hanif, Muhammad Umer Sarwar, Muhammad Irfan Khan, Shouket Zaman Khan, Casper Shikali Shivachi, Asad Anees

Complex., 2021

Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation.

Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021