Currently, at CSNAP three projects are underway. 

The first project, that CSNAP is involved in is the compression-induced scope project.  Often doctors and surgeons rely on their touch sensation to diagnose or identify the diseased regions, however, palpation is highly dependent upon the skills of practitioner. A detailed study of palpation would improve the current medical procedures and new doctor training. Development of a reliable tactile sensing system would immensely benefit the medical community, but the development of a sensing system that quantifies and displays the tactile sensation have been inadequately addressed. Perhaps this is due to the complex nature of how the tactile sensation process. Tactile sensation is a complex process that needs to be addressed as a system. In this project, we propose to design, build, and test a sensor that will able to image the tactile sensation of an object. From this image, we obtain the mechanical properties such as elasticity of the contacting as well as embedded objects. The developed sensory imaging system will efficiently measure, record, and recreate tactile information. The potential application of the device is in screening for the possible lumps in the breast, thyroid, and skin. Currently, we are working on a project to implement this sensor on a smartphone-platform.

Smartphone-based Compression-Induced System Design

The second project is focused on developing an open laboratory. Open laboratory allows students to access the engineering labs 24/7. The Virtual Open Laboratory Teaching Assist (VOLTA) is a software tool currently under development by Temple University’s Control, Sensor, Network, and Perception (CSNAP) laboratory to support open laboratory. The VOLTA project aims to create an interactive and intelligent framework for laboratory course work. VOLTA is a new way to present laboratory work to students, and features an intelligent help module and a circuit recognition module. For more information, see, VOLTA project.  This project is sponsored by the NSF.

The third project is the statistical control theory project.  Here, we are developing statistical control theory. In statistical control, we view the cost function as a random variable and optimize the distribution of the cost function. This generalizes the classical linear quadratic Gaussian control. My collaborators and I have already developed the linear version of statistical control theory; and currently I am working on the nonlinear version. In this work, I investigate the characteristics of linear statistical control theory, develop nonlinear statistical control, and study the relations between statistical control and dynamic game theory. This work will be a starting point for the nonlinear statistical control theory development. My long term goal is to completely develop—linear, nonlinear, full state feedback, output feedback, finite time horizon, infinite time horizon—statistical control theory and apply it to various aerospace applications.  This project was supported by Army Research Office and NSF.

Past  research activities  include remote sensing imager development at Electronic and Telecommunications Research Institute (ETRI) and the University of North Dakota. AT ETRI, Dr. Won was involved in developing a ground control station for remote sensing satellite.  The CSNAP director was involved in two National Aeronautics and Space Administration (NASA) projects with UMAC at the University of North Dakota; Agricultural Camera (AgCam) and Airborne Environmental Research Observational Camera (AEROCam). The objectives of both these projects are to provide farmers and ranchers with reliable remote sensing data for precision land management.

CSNAP Laboratory
Temple University
College of Engineering
Philadelphia, PA