Wei Cheng

Wei Cheng, Ph.D.

Associate Professor of Computer Science and Systems, Tacoma School of Engineering and Technology
Adjunct Associate Professor of Electrical & Computer Engineering, Department of Electrical & Computer Engineering
University of Washington
Email: uwcheng [at] uw [dot] edu


Biography

Wei received his Ph.D from the George Washington University. His research interests span the areas of smart city, edge computing, and cybersecurity. In particular, he is working on smart street parking, localization in GPS-denied environments, acoustic communication in IoT, HCI and Security, public safety networks, underwater networks, and RFID systems for smart transportation. His research have been funded by NSF and NIST. He served as the technical program committee chair/member and the editorial board member for several top international conferences and journals, respectively.


Current Research Projects


Student Recruitment


Selected Products [My Google Scholar]

Smart Street Parking
Application Features & Key Findings

Build Street Parking Map

Street Parking Planning & Navigation

Smart Car Autonomous Parking

City Traffic and CO2 Reduction

  • Automatically read street parking sign via cam
  • Street parking circling navigation
  • Street parking open spot detection
  • Street parking rule data
  • Automatically read street parking signs, symbols, and calculate the maximal allowed parking time based on the time of arrival. The first two videos can be played in 4K.

    HCI & Security [Ref. 1]
    Application Features & Key Findings

    Device Control

    Security Service

  • Nano EMG for finger movement detection
  • Finger movement based control
  • Finger movement based authentication
  • Finger movement based key pairing
  • Device Positioning and Navigation in GPS-denied Environments [Ref. 1][Ref. 2][Ref. 3][Ref. 4][Ref. 5]
    Application Features & Key Findings

    Search & Rescue

    Indoor Navigation, Public Safety Networks

    Drone Swarm, Vehicle Swarm, Smartphone

    Underwater Networks, Space Exploration

  • Smartphone based acoustic communication
  • Infrastructure free
  • Quick autonomous organization and localization
  • Theoretically proved the localizability equivalence between centralized and distributed implementations.
  • Theoretically proved the localizability equivalence via altitude/depth awared projection
  • 3-5cm fast phone-to-phone ranging accuracy
  • Each symble represents a smartphone. There are six phones. The picture shows each phone's view of the network.

    Fast Resilence Networking [Ref. 1][Ref. 2][Ref. 3]
    Application Features & Key Findings

    Smart Community, Public Safety Networks

    Super Dense Wireless Networks

  • Unicast based route discovery
  • Check the existence of mulipath in a small constant time
  • Channle assignment complexity analysis
  • RFID based Information Track [Ref. 1][Ref. 2][Ref. 3]
    Application Features & Key Findings
    Smart Transportation
  • Resilence to weather and light conditions
  • Full unmanned vehicle support
  • Lane level navigation
  • Smart parking
  • Security enhancement
  • Grants

    Sponsor:
  • NSF
  • NIST

  • Teaching Experience

    Undergraduate:
  • Computer Organization
  • Computer Architecture
  • Senior Project Design
  • Graduate:
  • Network Security
  • Wireless and System Security
  • Applied Distributed Computing

  • Service Experience

    School/Department:
  • Undergraduate Committee
  • Graduate Committee
  • ABET Assessment Coordinator
  • Faculty Search Committee (Chair)
  • University:
  • UWT Faculty Affairs Committee
  • UWT Distinguished Research Award Committees
  • Computer Literacy Seminar
  • Synergistic Activities:
  • EBM: IJCN, IJSNet
  • TPC Chair: WASA 2018, WUWNet 2016 (vice), WTS 2014
  • Workshop Co-Chair: ICCCN 2015
  • Guest Editor: IoT Journal, WCMC, TNSE, JWCN, etc.
  • TPC: INFOCOM, ICCVE, ICC, WUWNet, etc.

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