2021 NSF CAREER Awards

Five faculty members in the School of Electrical, Computer and Energy Engineering have received National Science Foundation Faculty Early Career Development Program (CAREER) Awards in 2021. Earning the NSF CAREER award is a hallmark achievement for these early-career faculty members who have each developed a comprehensive plan to conduct impactful research and deliver a rich educational experience to their students.

Ahmed Alkhateeb

Ahmed Alkhateeb

Assistant Professor Ahmed Alkhateeb is implementing new machine learning approaches to help complex, large-scale wireless communication antenna systems more quickly and reliably predict channels and communication beams. This will help 5G and next-generation communication systems deliver more data to more devices, even when they’re on the move.

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Gautam Dasarathy

Gautam Dasarathy

Assistant Professor Gautam Dasarathy is rethinking traditional machine learning and information processing by developing interactive machine learning algorithms. Pairing the data collection and analysis will increase effectiveness and efficiency for a wide range of real-world applications such as pandemic response, cybersecurity, neuroimaging and communications.

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Yu Yao

Nicolò Michelusi

Assistant Professor Nicolò Michelusi is focusing on the design and analysis of distributed wirelessly connected systems using methods from stochastic (randomly determined) optimization and machine learning. This work will assist will help provide affordable, energy-efficient broadband access to underserved communities.

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Yang Weng

Yang Weng

Assistant Professor Yang Weng is developing machine learning tools that can create more robust models to describe power flow in areas of the electrical grid without sensors. This will help the power distribution grid to become more resilient and capable of supporting advancing technologies like electric vehicles.

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Yu Yao

Yu Yao

Assistant Professor Yu Yao is combining polarimetric imaging and spectroscopy to create a biomedical imaging system that will be smaller, faster and have better resolution than currently available systems. The new information available from the improved system will be useful for medical procedures like cancer diagnosis as well as for space and industrial applications.

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