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I am a Ph.D student in the department of Electrical Engineering, Columbia University, studying under the supervision of Prof. Jiang in the Columbia Intelligent and Connected Systems Lab (ICSL). I received the B.S. in Electrical and Computer Engineering from University of Colorado Boulder (2021). My research lies at the intersection of embedded AI, machine learning, data analytics and applications in medical domain. My current projects focus on designing sensing technologies, AI techniques for home assistance and human health.

Education

Columbia University, New York, NY 4.08/4.00

Ph.D. Electrical Engineering | Sept 2021-present

University of Colorado Boulder, Boulder, CO 3.97/4.00

B.S. Electrical and Computer Engineering | Aug 2017-May 2021

Research Experience

Columbia University, New York, NY

Columbia Intelligent and Connected Systems Lab (ICSL) | Sep 2021 – Present

University of Colorado Boulder, Boulder, CO

Laboratory for Atmospheric and Space Physics (LASP) | July 2020 – May 2021

Publications

K. Hou, Y. Liu, P. Wei, C. Yang, H. Kang, S. Xia, T. Spada, A. Rundle, X. Jiang, “A Low-Cost In- situ System for Continuous Multi-Person Fever Screening“, Information Processing in Sensor Networks (IPSN) 2022

K. Hou, S. Xia, and X. Jiang, “BuMA: Non-Intrusive Breathing Detection using Microphone Array“, ACM International Workshop on Intelligent Acoustic Systems and Applications (IASA) 2022

M. Zhao, Y. Liu, A. Dhupar, K. Hou, S. Xia, and X. Jiang, “A Modular and Reconfigurable Sensing and Actuation Platform for Smarter Environments and Drones: Demo Abstract“, ACM International Conference on Mobile Systems, Applications and Services (MobiSys) 2022

M. Zhao, S. Xia, J. Nie, K. Hou, A. Dhupar & X. Jiang, “LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications”, ACM/IEEE Conference on Internet of Things Design and Implementation 2023 (to appear)

K. Hou, S. Xia, E. Bejerano, J. Wu & X. Jiang, “ARSteth: Enabling Home Self-Screening with AR-Assisted Intelligent Stethoscopes”, ACM/IEEE Conference on Information Processing in Sensor Networks 2023 (to appear)