Artificial Intelligence Radar/RF Lab
- AiR Lab -
Directed by Youngwook Kim
Sogang University, South Korea
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Smart Radar Empowered by Deep Learning and Quantum Computing
Smart Radar Empowered by Deep Learning and Quantum Computing
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AiR Lab researches on
-Artificial Intelligence and Quantum Computing for Radar: Target detection, tracking, and classification,
array calibration using deep learning and quantum annealing
-Bio-Sensing: Human motion classification, gait analysis, hand gesture recognition,
heart rate tracking, blood pressure estimation,
speech recognition, uroflowmeter, eye blinking detection
-Radar Signal Processing: Micro-Dopplers, frequency diverse array, nested array,
SAR, ISAR
-RF Hardware Systems: MIMO Radar, antenna array for DOA estimation
-Antenna Design: Broadband antenna design, mesh antenna design,
small antenna design, antenna optimization
-Applied Electromagnetics: Near-field to Far-field transformation, source reconstruction,
on-body channel analysis, antenna impedance analysis
Announcements:
Announcements:
AiR Lab is recruiting post-Doc research fellows, graduate students, and undergraduate students interns who are interested in Radar Signal Processing using Artificial Intelligence, RF hardware, and Electromagnetics. Please contact Dr. Youngwook Kim for more information.
AiR Lab is recruiting post-Doc research fellows, graduate students, and undergraduate students interns who are interested in Radar Signal Processing using Artificial Intelligence, RF hardware, and Electromagnetics. Please contact Dr. Youngwook Kim for more information.
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