Liang Liu, PhD

Email: liangliuATnorthwestern.edu

Liang is a postdoc fellow in Northwestern University. She is using sensors and machine learning technologies to solve healthcare related problems for patients and senior residents. Her research interests include machine learning, pattern recognition, signal processing, computer vision, ambient intelligence.

EDUCATION
University of Missouri, Columbia, MO, USA Computer Engineering, MS, 2009, PhD, 2014
Beijing University of Technology, Beijing, China Control Engineering, MS, 2007
Harbin Institute of Technology, Harbin, China Electrical Engineering, BS, 2003

PROJECTS
Northwestern University Machine learning on behavior monitoring and detection in hospital room using Kinect Oct, 2014 - present
University of Missouri Non-invasive sensing for fall detection and fall risk assessment (with GE Global Research in NY) May, 2010 - Sep, 2014
Laparoscopic video analysis and instruments tracking in surgery training Aug, 2009 - May, 2010
Face Detector implemented on the Xilinx Virtex-II Pro Embedded System Aug, 2007 - 2009
Beijing University of Technology Computational intelligence and its application in Robotics Aug, 2004 - 2007
Harbin Institute of Technology The Design for a 20kVA Three-phase Adaptive Voltage Equipment Aug, 2002 - 2003

WORK EXPERIENCE
Northwestern University Project Manager/Mentor, 43 EECS MSs for Kinect data visualization: Phone App, Web design, Databases, Oct, 2014 - present
University of Missouri Teaching Assistant, Embedded System Course, Aug., 2008 - Dec., 2008
Beijing University of Technology Assistant, College Office, Sep., 2005 - Jan., 2006
High-Tech Corporation (Gaoke Group), Xi'an, China Technician/Engineer, July, 2003 - July, 2004
First Automobile Works (FAW) Group Corporation, Changchun, China Internship, Sep., 2002 - Oct., 2002

PUBLICATIONS
[16] Liu L, Mehrotra S, "Bed angle detection in hospital room using Microsoft Kinect V2," the 13th International Conference on Wearable and Implantable Body Sensor Networks of the IEEE Engineering in Medicine and Biology Society, 2016 (accepted)
[15] Liu L, Mehrotra S, "Patient walk detection in hospital room using Microsoft Kinect V2," the 36th International IEEE EMBS Conference, 2016 (accepted)
[14] Liu L, Mehrotra S, "Detecting out-of-bed activities to prevent pneumonia for hospitalized patient using Microsoft Kinect V2," the IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2016 (accepted abstract)
[13] Liu L, Popescu M, Skubic M, Rantz M, Cuddihy P, "Automatic In-room Human Fall Detection Using Doppler Radar Signatures", Journal of Ambient Intelligence and Smart Environments, (accepted).
[12] Liu L, Yin M, Mehrotra S, "Preventing Venous Thromboembolism in Patients Admitted by Hospital Using Microsoft Kinect V2", the IEEE Biomedical Circuits and Systems Conference, pp. 1-4, 2015
[11] Liu L, Popescu M, Skubic M & Rantz M, "An Automatic Fall Detection Framework Using Data Fusion of Doppler Radar and Motion Sensor Network", the 36th International IEEE EMBS Conference, pp. 5940-5943, 2014
[10] Liu L, Popescu M, Ho KC, Skubic M & Rantz M, "Doppler radar sensor positioning in a fall detection system", the 34th International IEEE EMBS Conference, pp.256-259, 2012. (Oral)
[9] Liu L, Popescu M, Rantz M, Skubic, "Fall detection using doppler radar and classifier fusion", the International IEEE EMBS Biomedical and Health Informatics (BHI) Conference, pp.180-183, 5-7 Jan. 2012. (Oral)
[8] Liu L, Popescu M, Skubic M, Rantz M, Yardibi T & Cuddihy P, "Automatic fall detection based on Doppler radar motion signature" , the 5th International Pervasive Computing Technologies for Healthcare (PervasiveHealth) Conference, pp.222-225, 2011. (Best Paper in poster section)
[7] Cuddihy PE, Yardibi T, Legenzoff ZJ, Liu L, Phillips CE, Abbott C, Galambos C, Keller J, Popescu M, Back J, Skubic M & Rantz MJ, "Radar walking speed measurements of seniors in their apartments: Technology for fall prevention", the 34th International IEEE EMBS Conference, pp.260-263, 2012.
[6] Yardibi T, Cuddihy P, Genc S, Bufi C, Skubic M, Rantz M, Liu L & Phillips C, "Gait characterization via pulse-Doppler radar", IEEE International Pervasive Computing and Communications Workshops (PERCOM Workshops), pp.662-667, 2011
[5] Liu L, Yu N, Ding M, Ruan X, "A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System", Lecture Notes of Computer Science, 2006. (Oral)
[4] Ruan X, Liu L, Yu N, Ding M, "A Model of Feedback Error Learning Based on Kalman Estimator," the 6th World Congress on Intelligent Control and Automation(WCICA), pp.4190-4194, 2006
[3] Zhang S, Liu L, Ruan X, "A sparsely Distributed and Statistically Independent Representation of Parallel Fiber Coding in Cerebellum", the 6th World Congress on Intelligent Control and Automation(WCICA), pp.4118-4122, 2006
[2] Ruan X, Liu L, Yu N, "Internal Model used for Body Balance during Quiet Standing", the Journal of Tsinghua University (Science and Technology), 2007
[1] Ruan X, Ding M, Yu N, Liu L, "Design and Simulation of Predictive Feedback Error Learning Model", the Journal of System Simulation, 2006

REVIEWER SERVICES
  • Journal of Biomedical and Health Informatics
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  • Journal of Pervasive and Mobile Computing
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  • Journal of Ambient Intelligence and Humanized Computing
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  • Journal of Sensors
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  • Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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  • IEEE 1st International Conference on Connected Health
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  • IEEE International Conference on Healthcare Informatics
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