Research focus: Wireless Networks, Machine Learning, Cyber-Physical Security

We promised our funding agencies that we would disseminate our results to the community. Our publications have most of the development outcomes. In addition, we have the following educational materials for your free use:

Course 1: Tele-Healthcare Engineering (for undergraduate students): course materials here

Course 2: Introduction to Cyber-Physical System Security: Year 1 course materials here


Selected Funded Projects: (Total >$5M in last 10 years; average ~$500K funding per year)


U.S. DoD - AFRL, (awarded in Feb of 2014), the project is on wireless mesh networks with directional antenna and OpenFlow. It is a collaborative research with SDSU, total $1.2M. Duration: 4 years.
NSF Trusted Computing on Cyber-Physical System security education, awarded in September of 2013, total $300K. 2 years.
NSF CISE on the development of virtual reality based post-stroke rehabilitation system. Awarded in October of 2013. Total $700K. 3 years.
U.S. DoD - AFRL, (awarded in 2012), on hardware-demo of video over cognitive radio networks, $200K.
U.S. Air Force Research Laboratory (awarded in August of 2011), Project Title: (Collaborative Research with SDSU) QoE-oriented Cognitive Radios Spectrum Information Distribution in Mobile Environments. $100K,
NSF CRI # 1059212, Awarded in January of 2011. (Duration:3 years). Project Title: Cognitive Sensing Research Infrastructure for Distributed Behavioral Biometrics. Total $420K.
U.S. Army Research Office (ARO), #W911QX-11-C-0017, Project Title: "Miniature Ferrite Chip Antenna for Unmanned Aerial Vehicles", Awarded in November of 2010. Total: $800K.
NSF TUES # 0941020, Awarded in August 2010. Duration: 3 years. Project Title: A Building-Block Approach to Tele-healthcare Computing. Total $200K.
NSF IIS (Artificial Intelligence) # 0915862; Project Title: Robust Intelligence: Intelligent Compressive Multi-Walker Recognition and Tracking (iSMART) through Pyroelectric Sensor Networks. Awarded in September of 2009. Total $330K.
NSF CCF (Computer Commmunications) #0829827. Awarded in September of 2008. (I was a PI at RIT. This project also has PIs at Univ. of Alabama and UC Davis. After I moved to UA, my budget share was incorporated into UA part and I thus became a co-PI at UA); Project Title: EMT: Collaborative Research: Primate-inspired Heterogeneous Mobile and Static Sensor Networks. Total: $600K.
NSF CNS (Cyber Trust) #0716455. Awarded in June of 2007. (as a PI). Project Title: Error-resistant, Accountable, RFID-assisted Wireless Sensor Networks For Elder Cardiac Tele-Healthcare. Total $400K.
NSF CCLI #0511098. Awarded in June of 2005. (As a PI);.
Project Title: Towards Enhancing Undergraduate Pervasive Computing Skills: An Innovative Multi-Disciplinary Adaptation and Implementation.
BBN (contract from NSF): GENI Experiments for Traffic Capture Capabilities and Security Requirement Analysis. Funding source: BBN. July of 2009.(as a co-PI).
Cisco URP (University Research Program), In 2005, I had two projects funded by Cisco URP on Sensor Network Security. Both as the PI. $200K.
Leveraging Inc. Project Title: "Sensor network to IBM Enterprise Database Interface". Funded in June of 2007. (PI)
Sprint Inc., Project Title: Video Telephony in 3G EV-DO Cellular Networks; Awarded in 2006. (co-PI)
Explain my research focus:
Wireless Networks (include OpenFlow, Cognitive Radio Networks, Wireless Mesh Networks, etc.)
We have developed a series of innovative spectrum sensing and spectrum handoff schemes for cognitive radio networks. Currently, we are working on OpenFlow-based wireless mesh networks under directional antenna.


Cyber-physical security
The term Cyber-Physical Systems (CPS) refers to the tight conjoining of and coordination between computational and physical resources. For example, in a tele-healthcare system, for a patient with pacemaker, the computational resources (the "cyber" part) include medical sensors, pacemaker, etc. The software-driven pacemaker clearly has a direct impact on the "physical" environment , that is, the patient's heart. The CPSs of tomorrow will far exceed those of today in terms of reliability and safety. Security is the prerequisite of reliability and safety since an attack-vulnerable CPS certainly is not reliable and safe. Given the recent trend toward open medical CPS design, use of commercial off-the-shelf (COTS) components and interconnection with existing attack-vulnerable networks, security for medical CPSs has become extremely important in terms of protecting patients' safety and privacy
Sensors Design: I have built various tele-healthcare sensors. Especially I have designed low-cost RF (Radio Frequency) digital boards (Fig.1 (a)), ECG (Electrocardiography) sensors (Fig.1 (b)), EEG (Electroencephalography) sensors (Fig.1 (c)). Those sensors have interfaces to RFID readers (Fig.1 (d)). I have designed low-cost RFID readers.
Sensors Networks: I have also studied many issues in sensor networks. I have written the first textbook on sensor networks. My focus in this area is the distributed signal processing issues in sensor networks. For example, how do we achieve distributed in-network sensor data estimation and prediction? How do we achieve distributed manifold for high-dimensional sensor signal pattern recognition? Can we apply in-network machine learning for sensor network event spectrum learning?
Machine Learning
Machine learning and pattern recognition have been applied to intelligent signal processing and many other applications. I have investigated recent hot topics in this area such as NMF-based signal projection and decomposition for pattern recognition (see the following figure), Diffusion wavelet + manifold for multi-scale signal feature extraction (see figure below), information geometry for dimension reduction, HDP (hierarchical Dirichlet Process), Variational Bayesian, and other machine learning schemes for intelligent complex signal analysis.