News and Announcements

  • 02/2021
    One paper on robot diagnostics is accepted by IEEE TMC.
  • 10/2020
    One paper on driver authentication is accepted by ACM UbiComp'21.
  • 10/2020
    One paper on robot diagnostics is accepted by ACM SenSys'20.
  • 05/2020
    One paper on ICS diagnostics is accepted by RAID'20.
  • 03/2020
    One paper on phone diagnostics is accepted by ACM MobiSys'20.
  • 02/2020
    One paper on vehicle localization is accepted by ACM/IEEE IPSN'20.
  • 01/2020
    One paper on batteries as thermometers is accepted by ACM UbiComp'20.
  • 01/2019
    One paper on battery management is accepted by ACM/IEEE ICCPS'19.
  • 11/2018
    One paper on vehicle diagnostics is accepted by ACM MobiCom'19.
  • 10/2018
    One paper on battery management is accepted by ACM TOSN.
  • 01/2018
    One paper on WiFi fingerprinting is accepted by IEEE TMC.
  • 04/2017
    One paper on battery management is accepted by ACM MobiSys'17.
  • 03/2017
    One paper on battery management is accepted by IEEE TMC.

Academic Positions

  • Present 2017

    Assistant Professor

    University of Colorado Denver, Denver, CO, U.S.

  • 2017 2014

    Research Fellow

    University of Michigan, Ann Arbor, MI, U.S.

  • 2014 2012

    Research Scientist

    Singapore University of Technology and Design, Singapore

  • 2012 2009

    Research Assistant

    University of Victoria, Victoria, BC, Canada

Education & Training

  • Ph.D.

    Ph.D. in Computer Science

    Nankai University, Tianjin, China

  • B.Eng.

    B.Eng. in Computer Science

    Tianjin University, Tianjin, China

Honors and Awards

  • ACM MobiSys'17
    Best Poster Award
    image
    Charge My Phone As I Instruct.
    Liang He, Yu-Chih Tung, and Kang G. Shin
    The 15th ACM International Conference on Mobile Systems, Applications, and Services, Niagara Falls, NY, USA, 2017.
  • EAI QShine'14
    Best Paper Award
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    Exploiting Time of Charge to Achieve Collision-Free Communications in WRSN.
    Yuelong Tian, Peng Cheng, Liang He, Yu Gu, and Jiming Chen.
    The 10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, Rhodes, Greece, August, 2014.
  • IEEE GLOBECOM'11
    Best Paper Award
    image
    Analysis on Data Collection with Multiple Mobile Elements in Wireless Sensor Networks.
    Liang He, Jianping Pan, and Jingdong Xu.
    The 2011 IEEE Global Communications Conference (IEEE GLOBECOM'11), Houston, USA, Dec. 2011.
  • IEEE WCSP'11
    Best Paper Award
    image
    Adaptive Mobility-Assisted Data Collection in Wireless Sensor Networks.
    Liang He, Jun Tao, Jianping Pan, and Jingdong Xu.
    The 2011 International Conference on Wireless Communications and Signal Processing (IEEE WCSP'11), Nanjing, China, Nov. 2011.

Research Projects

  • image

    Cyber-Physical System Diagnostics

    Diagnosing complex systems by exploiting their physical behaviors in the cyber space.

    We aim to improve the reliability and safety of complex systems by designing and implementing novel cyber-physical solutions for on-board diagnostics. Our exploreations in this direction cover typical applications of vehicles, drones, e-scooters, industrial robots, mobile devices, etc. This project is in close collaboration with General Motors, Microsoft, and Glion.

    Publications: UbiComp'21, SenSys'20, UbiComp'20, MobiSys'20, RAID'20, ICCPS'20, MobiCom'19.

    Supported by: CRC Fellowship (CUDenver); Comcast Fellowship (CUDenver).

  • image

    Relaxation-Assisted Battery Management

    Resting batteries to improve their performance in reliability, capacity, and lifetime.

    The prevalence of battery-powered systems such as electric vehicles, smartphones, and IoT devices has made batteries crucial to everyone’s daily life and business. Battery health, however, degrades over time, not only decreasing system reliability such as unexpected system shutoffs, but also causing overheating/gassing which, in turn, increases safety risks such as thermal runaway or even battery fire/explosion. To address these problems, we must monitor, prognose, and optimize battery health throughout the physical system life. Specifically, we develop R-AWARE, a recovery period-assisted battery health management that schedules system operation while considering both system/user requirements and battery health. R-AWARE will improve battery health via relaxation-aware battery scheduling of battery charging/discharging, and recovery-based thermal control.

    Publications: ICCPS'19, e-Energy'19, MobiSys'17, ICCPS'17, ICCPS'16.

    Supported by: NSF CNS-1739577.

  • image

    Reconfigurable Battery Packs

    Actively adjusting the connectivity among battery cells in large battery packs.

    Recent progress in battery technology has made it possible to use batteries to power various physical platforms, such as ground/air/water vehicles. These platforms require hundreds/thousands of battery cells to meet their power and energy needs. Of these, automobiles, locomotives, and unmanned air vehicles (UAVs) face the most stringent environmental challenges. Current state-of-the-art still needs significant improvements in the architecture and algorithms of battery management before achieving the desired levels of efficiency and performance. To meet this need, we aim to (i) design a dynamically reconfigurable energy storage system to withstand harsh internal and external stresses; (ii) develop cell-level thermal management algorithms; (iii) develop efficient, dependable charge and discharge scheduling algorithms; (iv) develop comprehensive, diagnostic/prognostic algorithms with system parameters adjusted for making optimal decisions; and (v) build a testbed, implement and evaluate the proposed architecture and algorithms on the testbed.

    Publications: RTSS'16, e-Energy'16, ICCPS'15, ICCPS'14, RTSS'13.

    Supported by: NSF CNS-1446117.

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Authenticating Drivers Using Automotive Batteries.

Liang He, Yuanchao Shu, Youngmoon Lee, Dongyao Chen, and Kang Shin.
Conference PapersACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'21), 2021.

Detecting Replay Attacks against Industrial Robots via Power Fingerprinting.

Hongyi Pu, Liang He, Chengcheng Zhao, David Yau, Peng Cheng, and Jiming Chen.
Conference PapersThe 18th ACM Conference on Embedded Networked Sensor Systems (SenSys'20), 2020.

Mobile Device Batteries as Thermometers.

Liang He, Youngmoon Lee, and Kang Shin.
Conference PapersACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'20), 2020.

PLC-Sleuth: Detecting and Localizing PLC Intrusions Using Control Invariants.

Zeyu Yang, Liang He, Peng Cheng, Jiming Chen, David Yau, and Linkang Du.
Conference PapersThe 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID'20), 2020.

Causes and Fixes of Unexpected Phone Shutoffs.

Youngmoon Lee, Liang He, and Kang Shin.
Conference PapersThe 18th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'20), 2020.

VLD: Smartphone–assisted Vertical Location Detection for Vehicles in Urban Environments.

Xiong Wang, Linghe Kong, Tianpeng Wei, Liang He, Guihai Chen, Jiangtao Wang, and Chenren Xu.
Conference Papers 2020 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'20), 2020.

Autonomous WiFi Fingerprinting for Indoor Localization.

Shilong Dai, Liang He, and Xuebo Zhang.
Conference Papers11th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'20), 2020.

Online Concurrent Transmissions at LoRa Gateway.

Zhe Wang, Linghe Kong, Kangjie Xu, Liang He, Kaishun Wu, and Guihai Chen.
Conference PapersIEEE International Conference on Computer Communications (INFOCOM'20), 2020.

mLoRa: Multiple Packets Reception Protocol for LoRa Communications.

Xiong Wang, Linghe Kong, Liang He, and Guihai Chen.
Conference PapersIEEE International Conference on Network Protocols (ICNP'19), 2019.

An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing.

Xia Zhang, Xusheng Xiao, Liang He, Yun Ma, Yangyang Huang, Xuanzhe Liu, Wenyao Xu, and Cong Liu.
Conference PapersThe 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'19), 2019.

Environment-Aware Estimation of Battery State-of-Charge for Mobile Devices.

Liang He, Youngmoon Lee, Eugene Kim, and Kang G. Shin.
Conference PapersThe 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'19), 2019.

Diagnosing Vehicles with Automotive Batteries.

Liang He, Linghe Kong, Ziyang Liu, Yuanchao Shu, and Cong Liu.
Conference PapersThe 25th ACM Annual international Conference on Mobile Computing and Networking (MobiCom'19), 2019.

Faulty Location Data Detection in Crowdsourcing: A Compressive Sensing Approach.

Bowen Wang, Linghe Kong, Liang He, Fan Wu, Jiadi Yu, and Guihai Chen.
Conference PapersThe 38th IEEE International Conference on Distributed Computing (ICDCS'18), Vienna, Austria, 2018.

Mrs.Z: Improving ZigBee Throughput via Multi-Rate Transmission.

Yifeng Cao, Linghe Kong, Liang He, Guihai Chen, Min-You Wu, and Tian He.
Conference PapersThe 25th IEEE International Conference on Network Protocols (ICNP'17), Toronto, ON, Canada, 2017.

iCharge: User-Interactive Charging of Mobile Devices.

Liang He, Yu-Chih Tung, and Kang Shin.
Conference PapersThe 15th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'17), Niagara Falls, NY, USA, 2017.

Battery State-of-Health Estimation for Mobile Devices.

Liang He, Eugene Kim, Kang Shin, Guozhu Meng and Tian He.
Conference PapersThe ACM/IEEE 8th International Conference on Cyber-Physical Systems (ICCPS'17), Pittsburgh, PA, USA, 2017.

Offline Guarantee and Online Management of Power Demand and Supply in Cyber-Physical Systems.

Eugene Kim, Jinkyu Lee, Liang He, Youngmoon Lee, and Kang G. Shin.
Conference PapersThe 37nd IEEE Real-Time Systems Symposium (RTSS'16, CPS Track), Porto, Portugal, 2016.

∗-Aware Charging of Lithium-ion Battery Cells.

Liang He, Sunmin Kim, and Kang G. Shin.
Conference PapersThe ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS'16), Vienna, Austria, 2016.

Privacy-Preserving Compressive Sensing for Crowdsensing based Trajectory Recovery.

Linghe Kong, Liang He, Xiaoyang Liu, Yu Gu, Min-You Wu, and Xue Liu.
Conference PapersThe 35th IEEE International Conference on Distributed Computing Systems (ICDCS'15), Columbus, Ohio, USA, 2015.

SHARE: SoH-Aware Reconfiguration to Enhance Deliverable Capacity of Large-Scale Battery Packs.

Liang He, Yu Gu, Cong Liu, Ting Zhu, and Kang G. Shin.
Conference PapersThe ACM/IEEE 6th International Conference on Cyber-Physical Systems (ICCPS'15), Seattle, USA, 2015.

Exploiting Sender-based Link Correlation in Wireless Sensor Networks.

Junghyun Jun, Long Cheng, Liang He, Yu Gu, and Ting Zhu.
Conference PapersThe 22nd IEEE International Conference on Network Protocols (ICNP'14), The Research Triangle, NC, October, 2014.

ESync: An Energy Synchronized Charging Protocol for Rechargeable Wireless Sensor Networks.

Liang He, Lingkun Fu, Likun Zheng, Yu Gu, Peng Cheng, Jiming Chen, and Jianping Pan.
Conference PapersThe 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc'14), Philadelphia, PA, USA, 2014.

Reconfiguration-Assisted Charging in Large-Scale Lithium-ion Battery Systems.

Liang He, Linghe Kong, Siyu Lin, Shaodong Ying, Yu Gu, Tian He, and Cong Liu.
Conference PapersThe 5th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'14), Berlin, Germany, April, 2014.

Mobile-to-Mobile Energy Replenishment in Mission-Critical Robotic Sensor Networks.

Liang He, Peng Cheng, Yu Gu, Jianping Pan, Ting Zhu, and Cong Liu.
Conference PapersThe 33rd IEEE International Conference on Computer Communnications (INFOCOM'14) , Toronto, Canada, April, 2014.

A Parallel Identification Protocol for RFID Systems.

Linghe Kong, Liang He, Yu Gu, Min-You Wu, and Tian He.
Conference PapersThe 33rd IEEE International Conference on Computer Communications (INFOCOM'14), Toronto, Canada, April, 2014.

Exploring Adaptive Reconfiguration to Optimize Energy Efficiency in Large-Scale Battery Systems.

Liang He, Lipeng Gu, Linghe Kong, Yu Gu, Cong Liu, and Tian He.
Conference PapersThe 34nd IEEE Real-Time Systems Symposium (RTSS'13, CPS Track), Vancouver, BC, Canada, December, 2013.

Evaluating Service Disciplines for Mobile Elements in Wireless Ad Hoc Sensor Networks.

Liang He, Zhe Yang, Jianping Pan, Lin Cai, and Jingdong Xu.
Conference PapersThe 31st IEEE International Conference on Computer Communications (INFOCOM'12), Orlando, USA, 2012.

Fingerprinting Movements of Industrial Robots for Replay Attack Detection.

Hongyi Pu, Liang He, Chengcheng Zhao, David Yau, Peng Cheng, and Jiming Chen.
Journal PaperIEEE Transactions on Mobile Computing (TMC), 2021.

Power Guarantee for Electric Systems Using Real-Time Scheduling.

Eugene Kim, Youngmoon Lee, Liang He, Kang Shin, and Jinkyu Lee.
Journal PaperIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020.

Pinning-Based Switching Control of Cyber-Physical Supercapacitor Energy Storage Systems.

Heng Li, Jun Peng, Jianping He, Zhiwu Huang, Jing Wang, Liang He, and Jianping Pan.
Journal PaperIEEE Transactions on Control Systems Technology (TCST), 2019.

An Active Mobile Charging and Data Collection Framework for Clustered Sensor Networks.

Kaiyang Liu, Jun Peng, Liang He, Jianping Pan, Shuo Li, Ming Ling, and Zhiwu Huang.
Journal PaperIEEE Transactions on Vehicular Technology (TVT), Vol. 68, No. 5, pp. 5100-5113, 2019.

PPM: Preamble and Postamble Based Multi-Packet Reception for Green ZigBee Communication.

Zhe Wang, Linghe Kong, Kangjie Xu, Guihai Chen, and Liang He.
Journal PaperIEEE Transactions on Green Communication and Networking (TGCN), Vol. 3, No. 3, pp. 817-827, 2019.

Multi-Rate Selection in ZigBee.

Yifeng Cao, Linghe Kong, Liang He, Guihai Chen, Min-You Wu, and Tian He.
Journal PaperIEEE/ACM Transactions on Networking (ToN), Vol. 27, No. 3, pp. 1055-1068, 2019.

A General Analysis Framework for Soft Real-Time Tasks.

Zheng Dong, Cong Liu, Soroush Bateni, Zelun Kong, Liang He, Lingming Zhang, Ravi Prakash, and Yuqun Zhang.
Journal PaperIEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 30, No. 6, pp. 1222-1237, 2019.

Extending Battery System Operation via Adaptive Reconfiguration.

Liang He, Linghe Kong, Yu Gu, Cong Liu, Tian He, and Kang G. Shin.
Journal PaperACM Transactions on Sensor Networks (TOSN), Vol. 15, No. 11, 2019.

SoH-Aware Charging of Supercapacitors with Energy Efficiency Maximization.

Heng Li, Jun Peng, Yanhui Zhou, Jianping He, Zhiwu Huang, Liang He, and Jianping Pan.
Journal PaperIEEE Transactions on Energy Conversion (TEC), Vol. 33, No. 4, 2018.

SoH-Aware Reconfiguration in Battery Packs.

Liang He, Zhe Yang, Yu Gu, Cong Liu, Tian He, and Kang G. Shin.
Journal PaperIEEE Transactions on Smart Grid (TSG), Vol. 9, No. 4, pp. 3727-3735, 2018.

Low-Overhead WiFi Fingerprinting.

Junghyun Jun, Liang He, Yu Gu, Wenchao Jiang, Gaurav Kushwaha, Vipin A, Long Cheng, Cong Liu, and Ting Zhu,
Journal PaperIEEE Transactions on Mobile Computing (TMC), Vol. 17, No. 3, pp. 590-603, 2018.

Transmit Power Control for D2D Underlaid Cellular Networks Based on Statistical Features.

Peng Sun, Kang G. Shin, Hailin Zhang, and Liang He.
Journal PaperIEEE Transactions on Vehicular Technology (TVT), Vol. 66, No. 5, pp. 4110-4119, 2017.

A Case Study on Improving Capacity Delivery of Battery Packs via Reconfiguration.

Liang He, Sunmin Kim, and Kang G. Shin.
Journal PaperACM Transactions on Cyber-Physical Systems (TCPS), Vol. 1, No. 2, Feb. 2017.

Battery-Aware Mobile Data Service.

Liang He, Guozhu Meng, Yu Gu, Cong Liu, Jun Sun, Ting Zhu, Yang Liu, and Kang. G. Shin.
Journal PaperIEEE Transactions on Mobile Computing (TMC), Vol. 16, No. 6, pp. 1544-1558, 2017.

ESync: Energy Synchronized Mobile Charging in Rechargeable Wireless Sensor Networks.

Lingkun Fu, Liang He, Peng Cheng, Yu Gu, Jianping Pan, and Jiming Chen.
Journal PaperIEEE Transactions on Vehicular Technology (TVT), Vol. 65, No. 9, pp. 7415-7431, 2016.

RAC: Reconfiguration-Assisted Charging in Large-Scale Lithium-ion Battery Systems.

Liang He, Linghe Kong, Siyu Lin, Shaodong Ying, Yu Gu, Tian He, and Cong Liu.
Journal PaperIEEE Transactions on Smart Grid (TSG), Vol. 7, No. 3, pp. 1420-1429, 2016.

Evaluating the On-Demand Mobile Charging in Wireless Sensor Networks.

Liang He, Linghe Kong, Yu Gu, Jianping Pan, and Ting Zhu.
Journal PaperIEEE Transactions on Mobile Computing (TMC), Vol.14, No. 9, pp. 1861–1875, 2015.

Design of a Mobile Charging Service for Electric Vehicles in an Urban Environment.

Shisheng Huang, Liang He, Yu Gu, Kristin Wood, and Saif Benjaafar.
Journal PaperIEEE Transactions on Intelligent Transportation Systems (TITS). No. 99, pp. 1-12, 2014.

Temperature-Assisted Clock Synchronization and Self-Calibration for Sensor Networks.

Zhe Yang, Liang He, Lin Cai, and Jianping Pan.
Journal PaperIEEE Transactions on Wireless Communications (TWC), Vol. 13, No. 6, pp. 3419-3429, 2014.

Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links.

Shuo Guo, Liang He, Yu Gu, Bo Jiang, and Tian He.
Journal PaperIEEE Transactions on Computers (TC), Vol. 63, No. 11, pp. 2787-2802, 2014.

Achieving Energy Synchronized Communication in Energy-Harvesting Wireless Sensor Networks.

Yu Gu, Liang He, Ting Zhu, and Tian He.
Journal PaperACM Transactions on Embedded Computing Systems (TECS), Vol. 13, No. 68, 2014.

Evaluating Service Disciplines for On-Demand Mobile Data Collection in Sensor Networks.

Liang He, Zhe Yang, Jianping Pan, Lin Cai, Jingdong Xu, and Yu Gu.
Journal PaperIEEE Transactions on Mobile Computing (TMC), Vol. 13, No. 4, pp. 797-810, 2014.

A Progressive Approach to Reducing Data Collection Latency in Wireless Sensor Networks with Mobile Elements.

Liang He, Jianping Pan, and Jingdong Xu.
Journal PaperIEEE Transactions on Mobile Computing (TMC), Vol. 12, No. 7, pp. 1308-1320, 2013.

Diagnosing PLC Using Control Invariants.

Hua Yu, Zeyu Yang, Liang He, Peng Cheng, and Jiming Chen
Demos and postersThe 41th Real-Time Systems Symposium (RTSS'20), 2020.

Charge My Phone As I Instruct.

Liang He, Yu-Chih Tung, and Kang G. Shin
Demos and postersThe 15th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'17), Niagara Falls, NY, USA, 2017.

Robust and undemanding wifi-fingerprint based indoor localization with independent access pointst.

Junghyun Jun, Suryadip Chakraborty, Liang He, Yu Gu, and Dharma P. Agrawal
Demos and postersProceedings of the Microsoft Indoor Localization Competition (IPSN), Seattle, WA, USA, 2015.

An Energy Synchronized Charging Protocol for Rechargeable Wireless Sensor Networks.

Lingkun Fu, Hao Liu, Liang He, Yu Gu, Peng Cheng, and Jiming Chen.
Demos and postersIn The 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc'14), Philadelphia, PA, USA, 2014.

Reconfiguration-based Energy Optimization in Battery Systems: a Testbed Prototype.

Liang He, Shaodong Ying and Yu Gu
Demos and postersIn The 34nd IEEE Real-Time Systems Symposium (RTSS'13), Vancouver, Canada, December, 2013.

Exploring Smartphone-based Participatory Computing to Improve Pervasive Surveillance.

Zheng Dong, Banghui Lu, Liang He, Peng Cheng, Yu Gu and Lu Fang.
Demos and postersIn the 11th ACM Conference on Embedded Networked Sensor System (SenSys'13), Rome, Italy, November, 2013.

Energy Synchronized Charging in Sensor Networks.

Liang He, Yu Gu, and Tian He.
Demos and postersThe 10th ACM Conference on Embedded Networked Sensor Systems (SenSys'12), Toronto, Canada, 2012.
  • 2020 Fall

    CSCI 3511: Hardware-Software Interface


  • 2020 Spring

    CSCI 3515: Internet of Things: Sensing, Communication, and Control

    CSCI 5575: Cyber-Physical Systems


  • 2019 Fall

    CSCI 3511: Hardware-Software Interface


  • 2019 Spring

    CSCI 5575: Cyber-Physical Systems


  • 2018 Fall

    CSCI 3511: Hardware-Software Interface


  • 2018 Spring

    CSCI 5575: Cyber-Physical Systems


Graduate Research Assistants

    • Yiqin Wang, CSE, since 2020
    • Debajit Kumar Sandilya, CSE, 2018-2020
    • Aishwarya Mulkalwar, CSE, 2018-2019

Undergraduate Research Assistants

    • John Pace, CSE, 2019-present
    • Bryan Sumner, CSE, 2019-present
    • Cody Gardner, CSE, 2019-present
    • Andrew Gras, EE, 2018-present
    • Zachary Nye, EE, 2019
    • John Reedle, EE, 2019
    • Kevin Macfarlane, CSE, 2018-2019
    • Devin Piner, CSE, 2018-2019
    • Aaron Zapiler, ME, 2018
    • Chanhee Shin, CSE, 2018

Organizing Committee Membership

    • Regional Program Chair, The 8th Annual IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2018)
    • Publicity Co-Chair, The 7th International Workshop on Wireless Sensor, Actuator and Robot Networks (WiSARN 2013-SPRING)
    • Publicity Co-Chair, The 6th International Workshop on Wireless Sensor, Actuator and Robot Networks (WiSARN 2012-Fall)

Editorship

    • Guest Editor: Concurrency and Computation: Practice and Experience
  • 2019 09/30

    Toward Human-Transportation Interaction with Ubiquitous Sensing and Applied Machine Learning

    Dr. Dongyao Chen, University of Michigan at Ann Arbor

    Abstract: As the transportation ecosystem, e.g., vehicles, road infrastructures, becomes increasingly smarter, systems that can enhance the interaction between humans and transportation systems are of paramount importance to road safety and efficiency. Meanwhile, ubiquitous computing devices, such as smartphones and wearables, are empowered by ever-increasing sensing and communication capabilities. Although many existing applications have attempted to harvest the ubiquitous sensory data for facilitating transportation applications, e.g., navigation apps, they are often risk-prone, coarse-grained, and for special purposes. This talk will cover two representative studies that are designed for improving the safety and efficiency of the transportation ecosystem in a scalable and efficient manner. First, I will introduce VSense, a real-time data analytics pipeline for detecting a vehicle’s steering maneuver (i.e., left/right turn and lane change) only with commodity smartphone sensors. Second, I will present TurnsMap, a crowdsensing framework for analysis of risks at intersections. TurnsMap demonstrates a ubiquitous sensing + machine learning framework that is adaptive to numerous smart transportation applications/.

  • 2019 04/22

    Security and Privacy of Tomorrow’s Connected Vehicles

    Mr. Mert Dieter Pese, University of Michigan at Ann Arbor

    Abstract: Modern connected and autonomous vehicles (CAVs) are equipped with an increasing number of Electronic Control Units (ECUs) that produce large amounts of data. The data is exchanged between ECUs via an in-vehicle network. Furthermore, CAVs do not only have physical interfaces, but also increased data connectivity to the Internet via their Telematic Control Units (TCUs) which make them accessible remotely just like mobile phones. As a result, an increasing number of attack vectors make vehicles an attractive target for hackers. Automotive cyber-security research is a relatively novel field which tries to respond to constantly rising threats with countermeasures. In this talk, we will give a primer on cyber-security in the automotive domain as well as discuss privacy concerns of the big data generated by cars.

  • 2019 04/19

    Cyber-Physical Systems for Smart Cities: a Mobility Perspective

    Dr. Desheng Zhang, Rutgers University

    Abstract: For the first time ever, we have more people living in urban areas than in rural areas. Based on this inevitable urbanization, the research in my group is aimed at addressing sustainability challenges related to urban mobility (e.g., energy consumption and traffic congestion) by data-driven modeling and applications with a Cyber-Physical-Systems (CPS) approach in the vision of Smart Cities. In this talk, I will focus on mobility modeling and resultant applications based on large-scale cross-domain CPS, e.g., cellular networks, payment systems, social networks, and transportation systems (including electric vehicles, taxis, buses, subway, private vehicles, Ubers). I will first show how cross-domain CPS systems can be collaboratively utilized to capture real-time urban mobility by a set of model integration techniques. Then I will show how the captured mobility can be used to design various urban mobile services to close the “loop”, from urban-scale ridesharing to for-hire vehicle dispatching, electric toll collection management, electric-vehicle charging recommendation, and emergency response under mobility anomaly. Finally, I will present some research challenges related to future cross- domain CPS in the context of the smart cities research.

  • 2018 10/19

    Self-organizing UAV Networks for Providing On-demand Sensing and LTE Connectivity to First Responders

    Dr. Eugene Chai, NEC Lab America

    Abstract: Autonomous multi-UAV networks will revolutionize the design of systems solutions for civil, entertainment, public services, security and other critical application areas. At NEC Labs, we are particularly interested in the application of such multi-UAV networks to public safety networks. Our goal is simple: how do we design, implement and deploy a reliable and flexible multi-UAV network that can meet the demands of first-responder networks? In this talk, I will introduce SkyLiTE, our multi-UAV network that is designed for public safety applications. SkyLiTE is one of the first efforts at a fully autonomous, untethered multi-UAV network that can be deployed on demand in challenging scenarios to achieve public safety mission objectives. Our SkyLiTE prototype consists of three important components: SkyHAUL, which is a high bandwidth, millimeter wave backhaul network that achieves 1Gbps of bandwidth across the entire multi-UAV network; SkyCORE, a UAV-optimized, lightweight LTE Evolved Packet Core network; and SkyRAN, a full-fledged LTE radio access network. SkyLiTE is deployed either to complement and augment existing terrestrial cellular networks in public safety scenarios, or as a standalone LTE network in areas not covered by fixed infrastructure.

  • 2018 08/31

    All Your GPS Are Belong To Us: Towards Stealthy Manipulation of Road Navigation Systems

    Dr. Yuanchao Shu, Microsoft Research

    Abstract: Mobile navigation services are used by billions of users around globe today. While GPS spoofing is a known threat, it is not yet clear if spoofing attacks can truly manipulate road navigation systems. In this work, we explore the feasibility of a stealthy manipulation attack against road navigation systems. The goal is to trigger the fake turn-by-turn navigation to guide the victim to a wrong destination without being noticed. Our key idea is to slightly shift the GPS location so that the fake navigation route matches the shape of the actual roads and trigger physically possible instructions. To demonstrate the feasibility, we perform controlled measurements by implementing a portable GPS spoofer and testing on real cars. The complete attack is validated by extensive trace-driven simulation and real-world driving tests. Deceptive user studies using a driving simulator also show that 95% of the participants follow the navigation to the wrong destination without recognizing the attack.

  • 2018 04/09

    Addressing Architecture Challenges for Real-Time Vision Processing in Automated Driving Systems

    Dr. Shige Wang, General Motors

    Abstract: Vision processing is a key component in automated driving systems. Most vision processing algorithms today, however, are not designed for safety-critical real-time applications. Considering these algorithms are typically both data- and computation-intensive and require advanced hardware platform, applying them to automated driving brings new architecture challenges. In this talk, I will discuss some architecture challenges and potential solutions to support the vision processing for real-time vehicle controls.

  • 2018 02/12

    Predictable GPGPU Computing in Safety-Critical Cyber-Physical Systems

    Dr. Cong Liu, University of Texas at Dallas

    Abstract: Graphic processing units (GPUs) have seen wide-spread use in several computing domains as they have the power to enable orders of magnitude faster and more energy-efficient execution of many applications. Unfortunately, it is not straightforward to reliably adopt GPUs in many safety-critical cyber-physical systems that require predictable timing correctness, one of the most important tenets in certification required for such systems. A key example is the advanced automotive system where timeliness of computations is an essential requirement of correctness due to the interaction with the physical world. In this talk, I will describe several system-level and algorithmic challenges and our developed solutions on ensuring predictable timing correctness in GPU-accelerated systems.

  • 2018 01/29

    Emerging Threats in the Mobile Ecosystem

    Dr. Huan Feng, Facebook

    Abstract: During the past decade, we are moving swiftly towards a mobile-centered world. This thriving mobile ecosystem builds upon the interplay of three important parties: the mobile user, OS, and app. These parties interact via designated interfaces many of which are newly invented for or introduced to the mobile platform. Nevertheless, as these new ways of interactions arise in the mobile ecosystem, what is enabled by these communication interfaces often violates the expectations of the communicating parties. This shakes the foundation of the mobile ecosystem and results in significant security and privacy hazards. In this talk, we describe our attempts to fill this gap by: 1.) securing the conversations between trusted parties, 2.) regulating the interactions between partially trusted parties, and 3.) defending the communications between untrusted parties. First, we deal with the case of two opposing parties, mobile OS and app, and analyze the Inter-Process Communication protocol (Binder) between them. We found that the OS is frequently making unrealistic assumptions on the validity (sanity) of transactions from apps, thus creating significant security hazards. We analyzed the root cause of this emerging attack surface and secured this interface by developing effective precautionary testing framework and runtime diagnostic tool. Then, we study the deficiency of how existing mobile user interact with app, a party he can only partially trust. We found that in the current mobile ecosystem, information about the same user in different apps can be easily shared and aggregated, which clearly violates the conditional trust mobile user has on each app. We address this issue by providing an OS-level extension that allows the user to track and control, during runtime, the potential flow of his information across apps. Last, we elaborate on how to secure the voice interaction channel between two trusted parties, mobile user and OS. The open nature of the voice channel makes applications that depend on voice interactions, such as voice assistants, difficult to secure and exposed to various attacks. We solve this problem by proposing the first system that provides continuous and usable authentication for voice commands. It takes advantage of the neck-surface acceleration to filter only those commands that originate from the voice of the owner.