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Smart Cities & Urban Computing  

Sep. 2019 -- Present

UConn's Ubiquitous and Urban Computing (U2​C) Lab [link]

• Smart & Connected Community; Smart Transportation:
  • ​Representative Works:
    • STBikes@WWW'20 [link];
    • GCScoot@WWW'20 [link];
    • EIGDES@WWW'22 [link];
• Human-Centered Computing; Ubiquitous and Mobile Computing:
  • ​Representative Works:
    • FCRIL@UbiComp'23 [link];
    • RM-Drive@SIGSPATIAL'21 [link]; 
    • GAEFT@UbiComp'22 [link]; 
    • MetaDMI@UbiComp'22 [link];
• Spatio-Temporal Big Data Analytics; ​Location-based Data Science; ​Machine Learning & Data Mining:
  • ​​​​Representative Works: 
    • M-STAP@UbiComp'21 [link];
    • MetaMobi@EWSN'22 [link];
    • AcroCI@BuildSys'22 [link];

Research Sponsors

Ubiquitous Sensing, Learning & Computing

Nov. 2016 -- Aug. 2019

​Smart & On-Demand Mobility

BCCS @ INFOCOM'18 - Urban Signal Map Crowdsensing

Topics & Representative Works: 

Data Analytics for Smart, On-Demand & Connected Urban Mobility

• Including designing, implementing and evaluating large-scale (sensor/location/user) data analytics and data mining mechanisms and data-driven system frameworks for pervasive, mobile and cyber-physical application scenarios, deriving interesting knowledge, practical insight and design enhancement in their deployment.            
• ​Representative Works: ​CAPrice@TIST'19 [link], STRide@WWW'19 [link], CBikes@MobiHoc'18 [link]. 

Mobile Computing: Mobile & Smartphone Sensing Applications 

• Leveraging off-the-shelf mobile and smartphone sensors for ubiquitous applications, sensing, analyzing, and connecting human behaviors with IoT devices to enhance life quality and work efficiency.          ​
• ​Representative Works: CFid@INFOCOM'19 [link], ViHOT@CoNext'18. 

Crowdsensing & Crowdsourcing 

• Designing mechanisms and platforms to unleash the power of human crowds for large-scale, efficient, and effective data collection, environment learning and signal reconstruction. 
• Representative Works: BCCS@INFOCOM'18 [link].

System Design for Ubiquitous & Mobile Computing   

• ​Approaching mobile system deployment issues including reducing deployment cost, lowering computation overhead, facilitating implementation process, and improving user experience. 
• Representative Works: CSUR'18 [link].

​

• Outcomes:
  • ​​​CSUR'18, WWW'19, TIST'19, INFOCOM'19, INFOCOM'18, MobiHoc'18, CoNext'18. 

Ubiquitous Location-based Services                    

Sept. 2012 -- Oct. 2016

Applications for Pervasive and Mobile Computing

• Smartphone Localization:
  • Focuses on smartphones localization, leveraging off-the-shelf sensors and feasible sensing methods. Commercialized WLAN infrastructures are implemented for pervasive and fast system deployment. Includes survey-based and non-survey-based localization techniques, with knowledge of machine learning, statistics and optimization.
• Sensor Fusion:
  • ​Complex indoor environment calls for accurate and pervasive location-based service (LBS). To achieve this, the research targets for fusion of different sensing techniques. Signals like Wi-Fi, Bluetooth (iBeacon), inertial sensor (INS) and magnetic field are utilized in the works for sensor fusion and target tracking, including further extensions to many emerging signals.
• System Deployment:
  • With fast development of mobile computing, indoor localization has many interesting and important deployment issues. Focuses on approaching indoor signal noise, reducing deployment cost, facilitating implementation process and improving user LBS experience. 
• Collaborators: 
  • ​HK LSCM, HK ITC,  HKIA, Google, HTC
• Outcomes:
  • Wherami LBS, Compathnion (Signature Home), P-Sense, 6 TMC, 1 SenSys, 1 INFOCOM, 2 UbiComp, 1 COMST, 2 ICC, 2 Pervasive, 1 SECON, 1 MSWiM, 1 EWSN, 1 MASS, 2 TOSN, 4 Patents Issued/Pending
• PhD Thesis: 
  • ​Enhancing Accuracy For Fingerprint-based Indoor Localization [link]

References: 

• Publications related to system framework road map and vision of location fingerprinting and location-based service:​  ​
  • COMST'16 [Highly-Cited Paper]

• Publications related to location fingerprinting algorithms: 
  • INTRI2.0@TMC'17,  Magil@EWSN'17,  Tilejunction@TMC'16,  INTRI@SenSys'15, Sectjunction@ICC'14.

• ​​Publications related to multi-modal smartphone sensing and sensor fusion: 
  • Maxlifd@TMC'19, SLAC-2.0@TMC'18, Mapel@MASS'17, SLAC@UbiComp'15, WiDist@INFOCOM'15.

• ​Publications related to fast deployment and efficient maintenance
  • INOA-2.0@TMC'19, LAAFU@TMC'17, Fast-Sect@PC-CS'17, Chameleon@PC-CS'16, INOA-1.0@UbiComp'16

• ​Publications related to crowdsourcing and crowdsensing
  • Surecose@SECON'17, CSR@MSWiM'16

SLAC @ UbiComp'15 - Simultaneous Localization and Calibration

INOA @ UbiComp'16 - Large-scale Locality Classifcation

Surecose @ SECON'17 - Indoor Signal Map Crowdsensing with IoT Interaction