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Mo Sha

Assistant Professor
Department of Computer Science
Binghamton University |
State University of New York

Office: EB Q12
Email: msha AT binghamton.edu
Phone: (607) 777-3507

Mailing Address:
4400 Vestal Parkway East, Computer Science,
Binghamton, NY 13902-6000

 Representative Research Work

Industrial IoT

IIoT2 IoT0 IIoT1 

The Fourth Industrial Revolution (or Industry 4.0) presents one of the largest economic impact potential of Internet of Things (IoT). Industrial networks, the underlying support of Industrial IoT, typically connect hundreds or thousands of sensors and actuators in industrial facilities, such as manufacturing plants, steel mills, oil refineries, and infrastructures implementing complex monitoring and control processes. IEEE 802.15.4 based Wireless Sensor-Actuator Networks (WSANs) operate at low-power and can be manufactured inexpensively, which makes them ideal for industrial networks where energy consumption and costs are important. The current approach to implementing WSANs suffers many limitations such as poor scalability, error-prone configuration, and security vulnerability and these prohibit its adoption by potential industrial users. The overarching goal of this project is to address those chronic barriers and develop novel networking solutions for the next generation of industrial wireless standards.

This work has been reported in IWQoS'14, EWSN'15, RTSS'15, IoTDI'16, PIEEE'16, INFOCOM'17, IWQoS'17, IoT-J'17, IoTDI'18, ICDCS'18, INFOCOM'19

This work is supported in part by the NSF through grant CRII-1657275 (NeTS). Project webpage: Self-Adaptation in Industrial Wireless Sensor-Actuator Networks

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IoT Security

IoTs3 IoTsec

IoT has emerged as a new computing paradigm that promises to offer a fully connected smart world. However, due to the open nature of wireless medium, the information sensed, collected, and transmitted by IoT devices may be intercepted or jammed by adversaries, which becomes a serious concern in many IoT applications. The overarching goal of this project is to identify the security vulnerabilities of IoT systems and explore defense solutions.

This work has been reported in IoTDI'19, INFOCOM'19.

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mmWave Sensing and Communication

mmwave1 mmwave3 mmwave2

The emergence of millimeter wave (mmWave) networks has reinvigorated the quest of next generation of wireless networks that can provide multi-gigabit per second data rates. The 60 GHz mmWave band provides a large unlicensed spectrum (57-64 GHz) where new wireless standards such as IEEE 802.11ad and 802.11ay are proposed. The overarching goal of this project is to develop novel solutions to enable reliable mmWave communication and new sensing applications.

This work has been reported in IoTDI'19, MASS'18.

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Smart Energy

buildingsys

The largest source of energy consumption in buildings is heating, ventilation, and air conditioning (HVAC). For an HVAC system to provide comfort and minimize energy, it is crucial to understand the spatiotemporal thermal dynamics in buildings. The overarching goal of this project is to develop novel and practical approaches to model the complex thermal dynamics and improve the HVAC performance.

This work has been reported in ICDCS'14, Building'15, IoT-J'15.

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Low-Power Wireless Networks

154 cpsltestbed

The characteristics of IEEE 802.15.4 (ZigBee) based low-power wireless networks have been studied extensively in the context of wireless sensor networks. For instance, there has been a vast array of research that empirically studied the link quality with different platforms, under varying experimental conditions, assumptions, and scenarios. There also has been research investigating the impacts of various media access control schemes. We have contributed empirical results and analysis to this endeavor and produced a series of novel algorithms and network protocols.

This work has been reported in INFOCOM'09, RTSS'09, INFOCOM'10, ICNP'10, TOSN'11, IWQoS'11, RTAS'11, ICNP'12, RTSS'13, IPSN'13, TNSM'13.