1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multi-Modal Data-Enhanced Foundation Models for Prediction and Control in Wireless Networks: A Survey
Han Zhang, Mohammad Farzanullah, Mohammad Ghassemi +3
Foundation models (FMs) are recognized as a transformative breakthrough that has started to reshape the future of artificial intelligence (AI) across both academia and industry. Th…
Wireless Multimodal Foundation Model (WMFM): Integrating Vision and Communication Modalities for 6G ISAC Systems
Mohammad Farzanullah, Han Zhang, Akram Bin Sediq +2
The emergence of multimodal foundation models has revolutionized learning paradigms by enabling joint understanding across diverse data types. In the context of next-generation wir…
Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G
Mohammad Farzanullah, Han Zhang, Akram Bin Sediq +2
Cell-free Integrated Sensing and Communication (ISAC) aims to revolutionize 6th Generation (6G) networks. By combining distributed access points with ISAC capabilities, it boosts s…
Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning
Mohammad Farzanullah, Han Zhang, Akram Bin Sediq +2
Sixth generation (6G) wireless technology is anticipated to introduce Integrated Sensing and Communication (ISAC) as a transformative paradigm. ISAC unifies wireless communication…