Data-Driven Design and Intelligence

Harnesses AI, machine learning, and big data analytics to drive advancements in computational materials design, smart manufacturing, and design optimization. We are focused in leveraging data to enhance decision-making processes and improve the efficiency and effectiveness of advanced manufacturing systems, their materials, and their products.

News from this area

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Leaping puddles create new rules for water physics , article
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AI analysis inspired by ancient game gives cooling clues , article
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National Science Foundation funding brings smarter and stronger advanced manufacturing , article

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Faculty working in this area

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Pinar Acar , redirect
Multiscale modeling, optimization, uncertainty quantification for metallic material design
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Romesh Batra , redirect
Material/structural instabilities, impact and penetration problems, computational mechanics
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Jie Chen , redirect
Machine learning, uncertainty quantification, engineering design
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Jiangtao Cheng , redirect
Self assembly of nanoparticles; microfluidics and nanofluidics, optofluidics and electrofluidics, sustainable energy
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Christina DiMarino , redirect
Power electronics packaging, High-density integration, Wide-bandgap power semiconductors
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Rakesh Kapania , redirect
Structures and materials, computational mechanics, design
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James Kong , redirect
Additive and hybrid Manufacturing, data-driven design and intelligence
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Sourav Saha , redirect
Mechanistic computational intelligence, computational mechanics, computational nanomaterials, computational heat transfer
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Yang (Cindy) Yi , redirect
Neuromorphic computing systems; emerging devices, circuits, and architectures; machine learning for wireless networks and cybersecurity
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Yuhao Zhong , redirect
Explainable AI, statistics, computer vision, machine learning