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Dive into the research topics where Electrical Engineering is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
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Profiles
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James Aberle
- Arizona State University, Connection One (C1) - Associate Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Associate Professor
- Arizona State University, Electrical Engineering - Associate Professor
Person
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Ahmed Alkhateeb
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Assistant Professor
- Arizona State University, Electrical Engineering - Assistant Professor
- Arizona State University, Sensor, Signal and Information Processing Center (SenSIP) - Assistant Professor
Person
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David Allee
- Arizona State University, Knowledge Enterprise (KE) - Professor
- Arizona State University, Flexible Electronics and Display Center (FEDC) - Professor
- Arizona State University, Electrical Engineering - Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Arizona State University, Connection One (C1) - Professor
- Arizona State University, Sensor, Signal and Information Processing Center (SenSIP) - Professor
Person
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High performance GPU server for DoD sponsored research on machine learning
2/1/23 → 1/31/24
Project: Research project
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Test Generation and Data Analytics for Functional Safety Assessment and Failure Prediction
1/1/23 → 12/31/25
Project: Research project
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Probabilistic Predictive Models for Si PV cell crack stress and power loss
11/8/22 → 9/30/25
Project: Research project
Scholarly Works
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Extended defects in GaAs/GaAs1-xSbx/GaAs (001) heterostructures
Gangopadhyay, A., Zhang, C., Maros, A., Faleev, N., King, R. R., Honsberg, C. B. & Smith, D. J., Mar 1 2023, In: Scripta Materialia. 225, 115150.Research output: Contribution to journal › Article › peer-review
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A DSO Framework for Market Participation of DER Aggregators in Unbalanced Distribution Networks
Mousavi, M. & Wu, M., May 1 2022, In: IEEE Transactions on Power Systems. 37, 3, p. 2247-2258 12 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
A feature extraction and machine learning framework for bearing fault diagnosis
Cui, B., Weng, Y. & Zhang, N., May 2022, In: Renewable Energy. 191, p. 987-997 11 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations
Press/Media
Prizes
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National Science Foundation CAREER award
Turaga, Pavan (Recipient), Jun 2015
Prize: Prize (including medals and awards)