I am a Ph.D. candidate at the Department of Computer Science and Engineering of SUNY Buffalo. My advisor is Prof. Wenyao Xu. My research interests lie in smart health, wireless sensing and networking, the Internet of things, and artificial intelligence. My life goal is to become a scientist in smart health, and I would love to partner with doctors, nurses, and other healthcare professionals to help improve the care patients receive. Throughout my Ph.D. career, I leverage artificial intelligence and mobile sensing to assist in diagnosing Parkinson’s disease, predict health outcomes of patients with Alzheimer’s disease, prevent stroke, and manage stroke rehabilitation. [CV]



Recent News:

  • One paper is conditionally accepted by SenSys 2020.
  • Finished my summer internship at Samsung Research America.
  • One paper is accepted by MobiCom 2020.
  • One paper is accepted by MobiSys 2020.
  • Best Graduate Research Award from the CSE Department of UB (top 1 %), 2019.
  • Attend Mobicom'19.
  • Publications:

    VocalPrint: Exploring A Resilient and Secure Voice Authentication via mmWave Biometric Interrogation
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020
    Conditionally Accepted

    PDLens: Smartphone Knows Drug Effectiveness among Parkinson’s via Daily-Life Activity Fusion
    Hanbin Zhang, Gabriel Guo, Chen Song, Chenhan Xu, Kevin Cheung, Jasleen Alexis, Huining Li, Dongmei Li, Kun Wang, Wenyao Xu
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2020

    RehabPhone: A Software-Defined Tool using 3D Printing and Smartphones for Personalized Home-based Rehabilitation
    Hanbin Zhang, Gabriel Guo, Emery Comstock, Baicheng Chen, Xingyu Chen, Chen Song, Jerry Ajay, Jeanne Langan, Sutanuka Bhattacharjya, Lora A Cavuoto, Wenyao Xu
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2020

    mHealth Technologies towards Parkinson’s Disease Detection in Daily Life: A Comprehensive Reviewfrom
    Hanbin Zhang, Chen Song, Aosen Wang, Chenhan Xu, Dongmei Li, Wenyao Xu
    Reviews in Biomedical Engineering (RBME), 2020

    Demo Abstract: ARMove: A Smartphone Augmented Reality Exergaming System for Upper and Lower Extremities Stroke Rehabilitation
    Gabriel Guo, Joshua Segal, Hanbin Zhang, Wenyao Xu
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2019
    [PDF] [Poster]

    PDVocal: Towards Privacy-preserving Parkinson’s Disease Detection Using Non-speech Body Sounds
    Hanbin Zhang, Chen Song, Aosen Wang, Chenhan Xu, Dongmei Li, Wenyao Xu
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2019
    [PDF]

    PDMove: Towards Passive Medication Adherence Monitoring of Parkinson’s disease Using Smartphone-based Gait Assessment
    Hanbin Zhang, Chenhan Xu, Huining Li, Aditya Singh Rathore, Chen Song, Zhisheng Yan, Dongmei Li, Feng Lin, Kun Wang, Wenyao Xu
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2019
    [PDF]

    WaveEar: Exploring a mmWave-based Noise-resistant Speech Sensing for Voice-User Interface
    Chenhan Xu, Zhengxiong Li, Hanbin Zhang, Aditya Singh Rathore, Huining Li, Chen Song, Wenyao Xu
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2019
    [PDF]

    Daily Diary and Ambulatory Activity Monitoring of Sleep in Patients with Multiple Sclerosis: An Investigation into Causal Hypotheses of Overheating-Revoked Awakenings
    Rebecca A. Lorenz, Hanbin Zhang, Wenyao Xu, Yu-Ping Chang
    Conference on National Institute for Nursing Researchers (NINR), 2019
    [PDF] [Poster]

    The Relationship between Body Temperature during and Objectively-Measured Sleep among Adults with Multiple Sclerosis: the First Study
    Rebecca A. Lorenz, Hanbin Zhang, Wenyao Xu, Yu-Ping Chang
    Conference on Council for the Advancement of Nursing Science (CANS), 2019
    [PDF] [Poster]

    DeepVoice: A Voiceprintbased Parkinsons’ Disease Identification Application for Mobile Health
    Hanbin Zhang, Aosen Wang, Dongmei Li, Wenyao Xu
    IEEE Conference on Biomedical and Health Informatics (BHI), 2018
    [PDF]

    Two-dimensional Reduction of Beam Training Overhead in Crowded 802.11ad based Networks" in Millimeter-Wave Networked Systems
    Sihua Shao, Hanbin Zhang, Dimitrios Koutsonikolas, Abdallah Khreishah
    IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2018
    [PDF]

    Contact:

    340 Davis Hall
    Department of Computer Science & Engineering
    University at Buffalo, SUNY
    Buffalo, NY 14260-2500 USA
    hanbinzh@buffalo.edu
    [Google Scholar]