Hi! 👋 I am a fourth-year PhD student in the Wireless Intelligence Lab at Arizona State University under the supervision of Prof. Ahmed Alkhateeb. Before joining the WI-LAB at ASU, I did a BSc and MSc in Electrical and Computer Engineering, both at Instituto Superior Técnico, University of Lisbon. That time included a 6-month Erasmus Exchange Program at TU Delft and a subsequent 9-month visit to TNO for my MSc thesis with Prof. Remco Litjens, focusing on how 5G PHY and MAC layer configurations impact QoS in VR meetings. Currently, I am interning with the 6G RAN team at NVIDIA, integrating machine learning in the AERIAL Omniverse Digital Twin.
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DeepSense6G
DeepSense is a large-scale real-world multi-modal sensing and communication dataset for 6G deep learning research. -
DeepMIMO
DeepMIMO is a dataset generation framework for deep learning in wireless communication, offering realistic ray-tracing-based channel data for tasks like beamforming and localization.
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DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset
João Morais, Gouranga Charan, Nikhil Srinivas, and Ahmed Alkhateeb
IEEE Transactions on Vehicular Technology (TVT), 2024
PDF | Project page -
Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting
João Morais, Ahmed Alkhateeb
IEEE International Conference on Communications (ICC), 2024
PDF | Project page | BibTeX
