基本信息
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职业迁徙
个人简介
His research focuses on developing new machine learning and optimization methods to study complex engineering design problems. His recent work includes proposing automated design synthesis methods to generate novel high-performance designs, creating the first provably optimal algorithm for the diverse matching problem, and building computationally efficient ways for combining physics with human expert knowledge to design new products.
Honors + Awards
3M Non-Tenured Faculty Award, 2022
University of Maryland Alumni Excellence Research Award, 2022
Honors + Awards
3M Non-Tenured Faculty Award, 2022
University of Maryland Alumni Excellence Research Award, 2022
研究兴趣
论文共 89 篇作者统计合作学者相似作者
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IEEE TRANSACTIONS ON PLASMA SCIENCEno. 99 (2024): 1-9
arxiv(2024)
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Md Ferdous Alam, Austin Lentsch, Nomi Yu, Sylvia Barmack, Suhin Kim,Daron Acemoglu,John Hart,Simon Johnson,Faez Ahmed
An MIT Exploration of Generative AI From Novel Chemicals to Opera (2024)
arxiv(2024)
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JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERINGno. 1 (2024): 1-32
CoRR (2024)
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Journal of Mechanical Designpp.1-35, (2024)
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