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Wei Cheng, Ph.D.
Associate Professor and Chair of Computer Science and Systems Email: uwcheng [at] uw [dot] edu |
Wei received his Ph.D. from the George Washington University. His research interests span the areas of smart transportation systems, HCI, and edge computing. In particular, he is working on smart street infrastructure digitization, localization in GPS-denied environments, HCI, and public safety networks. His research have been funded by NSF, DOT, and NIST. He is the director of the PacTrans (Pacific Northwest Transportation Consortium, Regional University Transportation Center (UTC) for Federal Region 10) Tacoma subcenter. He served as the technical program committee chair/member and the editorial board member for several top international conferences and journals, respectively.
|
Application |
Features
& Key Findings |
|
Street Infrastructure Digitization and Maintenance Build Street Parking Map Street Parking Planning & Navigation Smart Car Autonomous Parking City Traffic and CO2 Reduction |
Automatically digitize street infrastructure from standard dashcam imagery 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.
Application | Features & Key Findings |
Sign Language Translation | Comprehensive survey on datasets, resources, benchmarks, and Annotation Standard |
|
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 |
|
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 symbol represents a smartphone. There are six
phones. The picture shows each phone's view of the network.
|
Application |
Features
& Key Findings |
|
Smart Community, Public Safety Networks Super Dense Wireless Networks |
Unicast based route discovery Check the existence of multipath in a
small constant time Channel assignment complexity
analysis |

|
Application |
Features
& Key Findings |
|
Smart Transportation |
Resilience to weather and light
conditions Full unmanned vehicle support Lane level navigation Smart parking Security enhancement |

|
Sponsor: |
NSF DOT NIST |
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Undergraduate: |
Computer Organization Computer Architecture Senior Project Design |
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Graduate: |
Network Security Wireless and System Security Applied Distributed Computing |
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School/Department: |
Chair Graduate Chair 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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Last updated in April, 2026 |