#1 NSF: NeTS: A Cross-layer End-to-End Performance Modeling Approach for Large-Scale Random Wireless Networks with Node Cooperative Behavior (PI)

This project provides theoretical framework analyses, engineering design rules, and guidelines for large-scale cooperative implementation and deployment of Random Wireless Networks (RWN). The research advances the understanding of emerging wireless networks and contributes to the RWN research community by meeting the future data capacity demand and the goals of quality of service, and has the potential to transform the findings to a broad range of complex network applications spanning transportation, disaster recovering, healthcare, and other sectors. In addition, an important education objective tightly coupled with the proposed research is to recruit and educate the next generation of network engineers. The findings from this project are disseminated via various public and academic venues.

#2 NSF: CCSS: Collaborative Research: Developing A Physical-Channel Based Lightweight Authentication System for Wireless Body Area Networks (PI)

Non-intrusive and ambulatory health monitoring of patients' vital signs over Wireless Body Area Networks (WBANs) provides an economical solution to rising costs in the healthcare system. However, due to the lack of security in the operation and communication of resource-constrained medical sensor nodes, the health and medical information provided by the WBANs may not be trusted. To address this issue, lightweight security solutions that are suitable for capability and resource limited body sensor devices must be provided to authenticate the data transmission. The goal of this research project is to develop a lightweight authentication system for resource-constrained WBANs. Findings from the proposed project will provide support for ensuring real-time delivery of accurate and secure medical information in WBANs. The proposed research will also advance the fields of WBANs and trustworthy biomedical computing for healthcare applications. The proposed theories, models, and simulation code can be used by engineers and researchers to design and evaluate security mechanisms for WBAN applications. In addition, an important education objective tightly coupled with the proposed research is to recruit and educate future generation of WBAN engineers. This will be accomplished through curriculum development, student mentoring, and community outreach in these fast changing technical fields of WBAN system engineering, security and mobile health (mHealth).

#3 NSF: NeTS: Exploring 60G HZ based Wireless Body Area Networks for mHealth Applications (Co-PI)

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.

#4 NSF: SCH: EXP: Collaborative Research: Design of a wearable biosensor system with wireless network for the remote detection of life threatening events in neonates (PI)

In the United States, one in eight infants is born prematurely. These high risk infants require specialized monitoring of their physiology not only in Neonatal Intensive Care Units (NICU) but also in home environments. They are prone to apnea (pause in breathing), bradycardia (slowness of heart) and hypoxia (oxygen de-saturation), which are life threatening. 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 proposed research goes beyond traditional health monitoring systems by incorporating body sensor networks (BSN) along with advanced signal processing approaches, tailored specifically to an individual infant's physiology, to accurately detect and anticipate precursors of life threatening events. The proposed research can have a significant impact on non-intrusive ambulatory health monitoring for infants through a wireless biosensor system that integrates lightweight sensor solutions into the sensing, communication, and computing for monitoring physiology. The system framework, theories, models, and code developed by this project can be used.

#5 NSF: MRI: Acquisition of COMET, A Cognitive RadiO Multimedia NEtwork Testbed for Multimedia Communication Research and Education (PI)

This project, building a Cognitive RadiO Multimedia NEtwork Testbed (COMET), investigates research challenges focused on QoE (Quality of Experience) requirements of multimedia applications, supporting new diverse approaches to QoE. The instrument will be used to develop cutting edge protocols and algorithms for the efficient use of limited wireless spectrum in a variety of multidisciplinary multimedia applications to address the challenging multidimensional scientific and engineering problems associated with the field. The protocols and algorithms will be applied to fundamental scientific questions in a wide range of wireless multimedia topics.

#6 NSF SCH: Student Travel Support for IEEE Conference on Connected Health (CHASE 2016) (PI)

The proposal is for student travel support and participation in the IEEE Conference on Connected Health (CHASE 2016) in Washington, DC supportive scientific forum for students to engage in scholarship focusing on the multiple computing and engineering issues associated with the multidisciplinary field of connected health. The consortium provide a forum for expert and peer critique of students' doctoral work with the goal of improving their research. Student participants will also have the opportunity to receive networking support and career advice from internationally-recognized experts. Overall, the travel support brings together people who might not otherwise engage with one another and engage in multidisciplinary research in fields involving connected health. The CHASE conference also exposes participant to different scientific disciplinary approaches and develops the next generation of scholars in connected health. 

#7 DOT: Data Collection via CRS&SI Technology to Determine when to Impose SLR. Funded by U.S. Federal Department of Transportation (DOT). (Co-PI)

The research team and its partners have completed the project objectives to deploy Commercial Remote Sensing and Spatial Information, CRS&SI, technology and to
launch a website, DSS-SLR, to display information or data retrieved via satellite.

#8 UMASS President Office: Consortium on Anytime-Anywhere-Anyway (AAA) Transportation Information (Co-PI)

#9 Joseph P. Healey Endowment: A Biometric-based Security System for Healthcare Monitoring in Wireless Body Area Networks (WBANs) (PI)