IoT and Data Engineering Lab

IoT in biomedical

While diagnosing critical conditions, the biosensors provide vital measurements to the clinicians. The scenarios are even challenging when operating on infants or on a remote patient. The NSF IIS project at the IoTDE lab, UMass Dartmouth focused on designing advanced health monitoring system for premature infants. IoT wearables enable people to better understand their own health and allow physicians to remotely monitor patients.

2020 Honggang Wang & IOTDE lab, university of Massachusetts Dartmouth


The 5G New Radio advancements are not only limited for broadband and mobile communication but promise multitude of benefits to automotive industry. IoT devices are deployed in telematics systems within motor vehicles(V2V), in traffic congestion control systems(V2I), in security and surveillance systems. The recently awarded NSF grant for the EECS project will help to give new insights on the use of mmWaves for autonomous vehicle communication and increasing their safety. The high volumes of data generated by LiDARs and cameras can be shared conveniently using 60GHz mmWaves which provide high data rate and bandwidths. The integration of IoT will also enhance the driver experience, reduce energy consumption, and improve traffic management.

2020 Honggang Wang & IOTDE lab, university of Massachusetts Dartmouth


With an increased coexistence of industrial assets with the deployed IoT technologies, cybersecurity has become a top priority to capture the benefits of all these digitization efforts. As human lives depend more on the IoT services, any breach for example, in the body implant sensor or an autonomous car, may have fatal consequences. The CCSS research project was to generate light weight keys especially for the WBANs. Efforts are being made to stay one step ahead of these attacks by providing end-to-end encryption, digital certificates and including security protocols at the design stage of firmware and hardware.

2020 Honggang Wang & IOTDE lab, university of Massachusetts Dartmouth


[NSF IIS] SCH: EXP: Collaborative Research: Design of a wearable biosensor system with wireless network for the remote detection of life-threatening events in neonates.

Premature births are prone to life threatening health conditions like apnea, bradycardia and hypoxia. This project aims at developing a biosensor system with wireless network for the remote detection and anticipation of such life-threatening events in infants. The advanced health monitoring is tailored for infants that integrates lightweight sensor solutions into the sensing, communication, and computing for monitoring physiology. The project also includes engaging undergraduate, graduate and medical students, especially women and minorities, into the proposed research. Funded by NSF, (PI: Dr. Honggang Wang)

[NSF CCSS & SaTC] CCSS: Developing A Physical-Channel Lightweight Authentication System for Wireless Body Area Networks

The proposed research aims at realizing physical layer security approaches for real resource constrained WBANs and designing innovative key agreement and developing message authentication mechanisms. The lightweight authentication system does not require additional hardware and bit synchronization, and thus is suitable for resource-constrained and capacity-limited medical sensor nodes in WBANs. The practical key agreement schemes use a set of dynamic wireless channel features among the communication partners. The findings from the project can provide guidelines for physical channel-based security system design and deployment of WBAN applications. Funded by NSF, (PI: Dr. Honggang Wang)

[NSF CNS]: Exploring 60G HZ based Wireless Body Area Networks for mHealth Applications

This project aims to explore 60 gigahertz (GHz) communication for mobile health (mHealth) applications and build a strong theoretical foundation for designing and evaluating 60GHz Wireless Body Area Network (WBAN) performance. Deep understanding will be gained on the fundamental limits of current 2.4GHz-band WBAN in mHealth applications and the promising benefits of 60GHz body area communication, in terms of its smaller device size, higher data rates, reliability, energy efficiency, safety and security. Funded by NSF, (PI: Dr. Hua Fang Co-PI: Dr.Honggang Wang)

[NSF ECCS]: Collaborative Research: Enabling Machine Learning based Cooperative Perception with mmWave Communication for Autonomous Vehicle Safety

The project will use advanced sensor technology to ensure the safe driving of autonomous vehicles over a narrow scope and improved traffic flow efficiency over an extended scope. The objective of this project is to understand the sensing and communication challenges to achieving cooperative perception among autonomous vehicles, design of suitable data exchange format, data fusion algorithms, and efficient millimeter-wave vehicular communications. The proposed research work will contribute to perception system on autonomous vehicles supported by data collection, algorithm design, system development, and in-the-field evaluation. Funded by NSF, (PI: Dr. Honggang Wang Co PI: Dr. Hua Fang)


Data analytics built upon several collaborative NIH projects on biosensor systems, e.g, real-time machine learning techniques, for on-the-fly critical event detection (e.g., substance use episodes) from biosensor Mobile health data, supported by multi-institutional seed fund, Office of Provost, UMassD, (PI: Fang) in 2019.


*mentored Ph.D students/RAs/Interns;**co-mentored; +co-first author/corresponding


Honggang Wang, Ph.D, Professor, Director of Internet of Things and Data Engineering (IOTDE) lab

(Julia) Hua Fang, Ph.D, Associate Professor, Co-Director of Internet of Things and Data Engineering (IOTDE) lab

SENG (Group II 224), College of Engineering, University of Massachusetts Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747