基本信息
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职业迁徙
个人简介
The core of my published research is related to machine learning and signal processing for graph-structured data. I have devised novel graph neural network (GNNs) architectures, developed theoretical insights that help explain and understand their strengths and limitations, and pioneered their use across diverse applications including power grids, sensor networks, multi-agent robotics, and distributed control. My background in statistics, time series analysis, and signal processing has allowed me to bring a fresh perspective to machine learning problems, leveraging concepts from frequency analysis, filtering, ergodicity, and stochastic processes.
研究兴趣
论文共 55 篇作者统计合作学者相似作者
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引用量
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期刊级别
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合作机构
IEEE International Conference on Acoustics, Speech, and Signal Processingpp.6885-6889, (2024)
Energy and AI (2024): 100369
IEEE Transactions on Signal Processing (2022): 1932-1946
CDCpp.5245-5252, (2022)
CoRRno. 99 (2022): 1-32
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作者统计
#Papers: 55
#Citation: 1641
H-Index: 18
G-Index: 40
Sociability: 4
Diversity: 2
Activity: 70
合作学者
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