Bio
VP of AI/ML at AIDAChip, building the AI platform for semiconductor IP development, Ex-Meta. Core expertise spans agentic AI & LLM frameworks, multi-modal sensor fusion, tracking, and multi-agent trajectory prediction. PhD @UT Austin.
Session (1)
Additional Speaker Details
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Abduallah Mohamed built Social-STGCNN (1,400+ citations, CVPR 2020) — one of the most-cited pedestrian trajectory prediction models — and now brings that multi-agent graph-network expertise as VP of AI/ML at AIDAChip, where he is making the case for 'multiplayer AI' for chip design teams. His session offers a look at how multi-agent systems are being applied to silicon engineering workflows outside the usual LLM application stack.
Speaking style
GitHub
@abduallahmohamed- abduallahmohamed/Social-STGCNN★ 579Code for Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction (CVPR 2020)
- abduallahmohamed/Social-Implicit★ 112Code for Social-Implicit: Rethinking Trajectory Prediction Evaluation and Implicit Maximum Likelihood Estimation (ECCV 2022)
- abduallahmohamed/Skeleton-Graph★ 38Code for Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs (ICCV 2021 Workshops)
- abduallahmohamed/Nested-LSTM-NLSTM-Pytorch★ 17NLSTM Nested LSTM in Pytorch
- abduallahmohamed/HAR-GCNN★ 13Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data (IEEE PerCom 2022)