Artificial Intelligence Radar/RF Lab

                                                                                         - AiR Lab -

                                            Directed by  Youngwook Kim

                                       Sogang University, South Korea


 Smart Radar Empowered by Deep Learning Algorithms...


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  AiR Lab researches on

                                   -Artificial Intelligence for Radar: Target detection, tracking, and classification

                                                                                                              using DANN, DCNN, DRNN, GAN, and GNN

                                   -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: On-body channel analysis, antenna impedance analysis


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. 

News and Notices:

Mar 1 2022: Dr. Kim joined Sogang University and opened Artificial Intelligence Radar/RF Lab. 

Jan 15 2022: Dr. Kim joined a TPC of IGARSS 2022.

Mar 21, 2021: 'Human activity classification using point clouds model measured by millimeter wave MIMO radar with deep recurrent neural networks' has been accepted at IEEE Sensors Journal.

Mar 18, 2021: 'Synthesis of micro-Dopplers of human activities from different aspect angles using conditional generative adversarial networks' has been accepted at IEEE Access.

Mar 17, 2021: Tracking bedridden patient positions using micro-Doppler signatures' has been accepted at IEEE Sensors Letters.

Nov 17, 2020: Dr. Kim was featured in the Stanford University List of Top 2% World Scientists.

Aug 13, 2020:  Design of a reduced-size crossed-dipole antenna' has been published at IEEE Transactions on Antennas and Propagation.

July 23, 2020: Dr. Kim appears at Wondery Podcast - American Innovations 'The Superpowers of Modern Radar'

July 15, 2020: Human detection with range-Doppler signatures using 3D CNN' has been posted at IGARSS2020.

June 23, 2020: Investigation of dominant wave mechanism and optimal antenna excitation for body-centric wireless propagations' has been published at Progress In Electromagnetics Research (c).

June 1, 2020:  Human motion detection using planar array FMCW radar through 3D point clouds' has been presented at EUCAP2020.

Mar 25, 2020:  Research on automotive radar has been funded from ETRI.

Mar 20, 2020:  Research on drone detection has been funded from DGIST.

Feb 24, 2020:  Taming the Data in the Internet of Vehicles for Greater Community Livability' has been funded from FSTI.

Feb 4, 2020: Dr. Koo joined our lab. Welcome!

Jan 31, 2020:  'Human Activity Classification Using Point Cloud Measured by Millimeter Wave MIMO Radar with Deep Recurrent Neural Networks' has been submitted to IEEE Geoscience and Remote Sensing.

Jan 17, 2020:  Kim was selected as the best associate editor from JEET.

Dec 25, 2019: A paper titled as 'Estimation of diaper condition based on antenna impedance variation through rational function approximation' has been published at IEEE Access.

Nov 20, 2019:  Invited talk at Samsung Electro-Mechanics.

Nov 6, 2019:  Dr. Kim's research on 'Doppler Radar Identifies Speech Over Long Distances for Search and Rescue' has been highlighted at IEEE Innovation Spotlight.

Aug 2, 2019:  Generative adversarial networks to augment data set for the classification of human activity based on micro-Doppler signatures' has been presented at IGARSS 2019, Yokohama, Japan.

July 23, 2019:  Attended Radar Workshop 2019.

July 15, 2019:  Breifing at Government Complex: Development of Drone Detection Radar

July 2, 2019:  Invited talk at Hongik University

June 5 & 13, 2019:  Invited talk at Bitsense Co. Ltd and Seminar at Yonsei University

May 26, 2019:  Micro-Doppler signature classification using generative adversarial networks' has been accepted at IEEE GSRL.

Mar. 17, 2019:  Awarded a research grant of $60k from ETRI for FMCW radar processing.

Mar. 12, 2019:  NSF proposal has been submitted. Thanks Dr. Yang for the collaboration.

Mar. 11, 2019:  Awarded a research grant of $70k from DGIST for drone tracking radar.

Mar. 1, 2019:  Awarded a research grant of $170k from Hyundai/Kia motors for 5G array signal processing.

Feb. 11, 2019:  'Recognition of human voice using Doppler radar with deep convolutional neural networks' has been published at IEEE Sensors Journal.

Dec. 12, 2018:  '2-D Direction of arrival estimation system using circular array with mutually coupled reference signal' has been published at IEEE Sensors Journal.

Oct 25, 2018:  Presented a paper of at ISAP 2019.

Oct. 15, 2019:  'Extraction of drone micro-Doppler characteristics using high resolution time-frequency transforms' has been published at Microwave and Optical Technology Letters.

Oct. 8, 2018:  Dr. Kim has been selected as the FSTI fellow.

Sep. 10, 2018:  'Localization of airborne platform using digital elevation model measured by radar system with adaptive weighting inspired by information theory' has been published at IEEE Sensors Journal.

Aug. 7, 2018:  Invited Talk at Soonsil University.

July 30, 2018:  Presented a paper titled as at ACES 2019 in Beijing.

July 17, 2018:  Attended the Radar Workshop 2018.

July 13, 2018: Technical meeting with Sungkyunkwan University.

July 10, 2018:  A paper titled as 'Classification of human motions using dynamic on-body creeping wave mechanisms' has been presented at USRI, Boston.

May 17, 2018:  Dr. Kim has been early promoted to a full professor.

May 15, 2018: 'Monitoring human head and neck-based motions from transmission coefficient of on-body antennas' has been published at IEEE Sensors Journal.

April 11, 2018:  Presented a paper of 'Simulation of micro-Doppler signatures of drone' at EUCAP 2018, London.

Mar. 1, 2018:  Awarded a research grant of $80k for drone tracking radar.

Jan. 10, 2018:  A paper titled as 'Classification of human head motion patterns using transmission coefficient of on-neck antennas' has been presented at USRI, Boulder.

Oct. 3, 2017:  Submitted a paper titled as 'Monitoring human head and neck-based motions from dynamic around-neck creeping wave propagations' to IEEE AWPL.

Sep. 14, 2017:  Delivered deliverables of the project of 'Broad band DOA estimation system using a circular array'.

Sep. 13, 2017:  Submitted a paper titled as 'Classification of human head motion patterns using transmission coefficient of on-neck antennas' to URSI 2018.

Aug. 1, 2017:  Presented a paper titled as 'Analysis of on-body antenna impedance variation using deep convolutional neural networks for human motion recognition' at ACES 2018, Suzhou, China.

July 20, 2017:  Attended the radar workshop at Seoul.

July 7, 2017:  Invited talk at EM Workshop, Seoul.

June 28, 2017:  Invited talk at POSTEC.

May 1, 2016:  Granted $75k for a drone tracking system.

April 13, 2017:  Invited talk at Baylor University.

April 9, 2017:  Presented a paper titled as 'Investigation of transferred learning of deep convolutional neural networks for classification of human aquatic activity using Doppler radar' at SPIE.

Mar. 20, 2017:  Presented a paper titled as 'Application of Doppler radar for the recognition of hand gestures using optimized deep convolutional neural networks' at EUCAP, Paris, France.

Jan. 12, 2017:  Has been chosen as the recipient of the LCOE Outstanding Research Award.