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Moataz Rashad

Solving supply chain planning, resilience, sustainability and traceability with AI decision models on top of digital twin simulators. TWTR:@moatazr
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Moataz Rashad is a highly accomplished technology leader and entrepreneur, with expertise in AI, deep-learning, machine-learning, computer vision, and supply chain optimization. He is the founder and CEO of DeepVu, a company that aims to enrich people's lives by powering intelligent decision-making. Moataz has over 20 issued US patents and extensive experience in strategic partnerships, complex technology exchange, M&A/startup due diligence, and market/industry-sector analysis. He studied Computer Science, Control Systems, Electrical Engineering, and Computer & Information Sciences at prestigious institutions such as Alexandria University, the University of Oregon, and Stanford University. His current interests include healthcare AI, space technology, quantum computing, nano devices, and robotics.

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