Past Events

Computer Science Department Colloquium

Cyber-Physical Systems for Smart Cities


Download as iCal file

Thursday, September 09, 2021, 11:00am


Speaker: Prof. Desheng Zhang


Desheng Zhang is an Assistant Professor in the Department of Computer Science at Rutgers University and a Connection Science Fellow at MIT Media Lab. He is broadly interested in Mobile Sensing, Data Science, Ubiquitous Computing, and Cyber-Physical Systems (CPS), with a focus on sensing, prediction, and decision-making for cross-domain mobile systems including cellular networks, Wi-Fi networks, mobile payment, taxis, buses, subways, bikes, personal vehicles, electric vehicles, trucks, and social networks with applications to Smart Cities, Gig Economy, and Connected Vehicles. Desheng is the lead PI for 5 NSF projects to study various system properties and applications of CPS from the equity of sociotechnical CPS to the adaptability of self-evolving CPS, the privacy of mobile CPS, the interoperability of vehicular CPS, and the safety of mobile CPS. His technical contributions have led to more than 100 papers in premium Computer Science venues, e.g., UbiComp, MobiCom,SIGCOMM, NSDI, SenSys, ICDE, KDD, SIGSPATIAL, IPSN, ICCPS, BigData, RTSS, ICDCS. He has been honored with 6 best paper/thesis/poster awards including the recent Best Paper Award in ICCPS 2021. He is a recipient of the NSF CAREER Award. Details:

Location : Via Zoom

Event Type: Computer Science Department Colloquium

Abstract: In this talk, I will introduce my group’s work on the foundations and applications of Cyber Physical Systems to Smart Cities. For any city-scale systems, obtaining the accurate real-time status of interested entities (e.g., real-time locations of vehicles, devices, and users) is essential for downstream applications. However, the existing status sensing approaches in both industry and academy have limited scalability to city-scale due to cost issues. By using city-scale on-demand gig delivery as a concrete use case, I will introduce how we obtain real-time gig worker status (e.g., locations and routes) in a cost-efficient approach to enable timely delivery and efficient order scheduling. Based on our collaboration with Alibaba On-demand Delivery Platform, we design, deploy, and evaluate a nationwide sensing system called aBeacon exploring a hybrid solution of hardware, software, and human participation. aBeacon detects and infers the status of more than 3 million workers in 364 cities in China via a sophisticated tradeoff between performance, cost, and privacy. I will provide some lessons learned and insights when aBeacon evolves from conception to design, deployment, validation, and operation. Finally, I will discuss a few new challenges and open problems in Human Cyber Physical Systems.


Rutgers University School of Arts and Sciences

Contact  Host: Dr. Matthew Stone

Topic: Computer Science Department
Computer Science Department Colloquium (Desheng Zhang's Talk)
Time: Sep 9, 2021 11:00 AM Eastern Time (US and Canada)

Join Zoom Meeting

Join by SIP

Meeting ID: 927 8108 4748
Password: 328026
One tap mobile
+13126266799,,92781084748# US (Chicago)
+13462487799,,92781084748# US (Houston)

Join By Phone
+1 312 626 6799 US (Chicago)
+1 346 248 7799 US (Houston)
+1 646 558 8656 US (New York)
+1 669 900 9128 US (San Jose)
+1 253 215 8782 US (Tacoma)
+1 301 715 8592 US (Washington DC)
Meeting ID: 927 8108 4748
Find your local number: