Hi! 👋 I am an software engineer at NVIDIA, and former PhD from the Wireless Intelligence Lab at Arizona State University advised by 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, in The Hague, for my MSc thesis with Prof. Remco Litjens, focusing on how 5G PHY/MAC layer configurations impact QoS in VR meetings. More recently, I interned with the 6G RAN team at NVIDIA, integrating machine learning in the AERIAL Omniverse Digital Twin. I am currently developing DeepMIMO to become the standard for ray tracing datasets in wireless.
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DeepMIMO: The standard for ray tracing datasets in wireless.
- Expanded the scope 10x
- Wrote version 4 (current) from scratch
- Leading development & website design since Nov 2024
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DeepSense6G: A real-world multi-modal sensing and communication dataset.
- Wrote the end-to-end software package: sensor capture, post-processing and synchronization
- Made a high-performance UI for data analysis and visualization - used to make +40 scenario videos
- Built the hardware testbed and collected scenarios 36-39 (Vehicle-to-Vehicle) and 41 (Distributed Sensing)
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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