Mohammad Nabian

Mohammad Nabian is a senior software engineer, AI-HPC at NVIDIA. Mohammad is one of the core developers of NVIDIA Modulus, an AI framework for physics-ML models. Mohammad received his Ph.D. from the University of Illinois at Urbana-Champaign, with research focused on artificial intelligence for scientific computing. Mohammad's background is in numerical simulation, artificial intelligence, and uncertainty quantification.
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Posts by Mohammad Nabian

Image is the DGL and PyG logos with the words Accelerated by NVIDIA.
Data Science

Available Now: NVIDIA AI Accelerated DGL and PyG Containers for GNNs

From credit card transactions, social networks, and recommendation systems to transportation networks and protein-protein interactions in biology, graphs are... 9 MIN READ
Simulation / Modeling / Design

NVIDIA Deep Learning Institute Launches Science and Engineering Teaching Kit

AI is quickly becoming an integral part of diverse industries, from transportation and healthcare to manufacturing and finance. AI powers chatbots, recommender... 5 MIN READ
A GIF showing a blood flow simulation.
Simulation / Modeling / Design

Enabling Greater Patient-Specific Cardiovascular Care with AI Surrogates

A Stanford University team is transforming heart healthcare with near real-time cardiovascular simulations driven by the power of AI. Harnessing... 8 MIN READ
Simulation / Modeling / Design

Develop Physics-Informed Machine Learning Models with Graph Neural Networks

NVIDIA Modulus is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine... 6 MIN READ
Simulation / Modeling / Design

Reducing Power Plant Greenhouse Gasses Using AI and Digital Twins

A variety of techniques are currently being developed that capitalize on the efficiency of AI to fight against climate change and achieve net-zero carbon... 13 MIN READ
Simulation / Modeling / Design

Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management

Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute... 11 MIN READ