Student and Alumni News
Awards and accomplishments of our students and alumni
Onrí Jay Benally receives 2024 NSF Graduate Research Fellowship
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Benally's interests lie in the engineering of quantum computing hardware and spintronic devices.
Kavin Muhil Ramesh receives 2023-24 IEEE PES scholarship
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An undergraduate student in his senior year, Ramesh is particularly interested in power systems and renewable energy systems
Alumnus Burhaneddin Yaman receives 2023 IEEE SPS Best PhD Dissertation Award
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Yaman's doctoral research improves patient experience during magnetic resonance imaging.
In Conversation with alumna Pushpavati Paladugu
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The first woman to earn a doctoral degree from ECE, Paladugu shares with us the details of her inspirational journey to the University of Minnesota as a doctoral student and her life after graduation
Wen Zhou receives doctoral dissertation fellowship and Early Innovation Fund award
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Zhou is designing novel integrated radar architectures for low-power, high-precision distributed integrated radar sensing systems that have a range of applications including self-driving vehicles, manufacturing, robotics, and security.
Chase Anderson reverse engineers his way to a master's degree and an IEEE fellowship
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Graduate student Chase Anderson, recent recipient of the IEEE Life Members Graduate Study Fellowship talks about his path to electrical and computer engineering, his role as an IEEE student chapter officer, and his hopes after graduation.
Healing the body using machine learning
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Sai Sanjay Balaji shares his research on biomedical applications of machine learning and what drives his interest in the area
In memoriam: Jack Reid (OAA)
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Jack Reid's contributions to the field of biomedical imaging significantly impacted the lives of patients
Burhaneddin Yaman recognized with best dissertation award
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Yaman's research improves patient experience during magnetic resonance imaging and was deemed the best in the physical sciences and engineering category of the award.
Alumnus Kejun Huang receives NSF CAREER Award
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Huang is working on tackling some of the challenges in machine learning