What do we do?  Where does our team fit?

Electronic System Optimization

Our team seeks to optimize the performance of electronic systems based on a realistic assessment of the underlying benefits and limitations of system components.  

For example, the development of simulation tools for organic electronics allows us to look beyond the limitations of reduced mobility and into applications where the unique behaviors of organic transistors can produce electronic systems with enhanced performance over silicon counterparts.  Our team also develops ways to configure photovoltaic cells and process the energy produced from these cells to minimize losses due to partial shading, degradation, and other deviations from maximum power production capacity. 

System Assessment

Alongside our efforts to optimize system configuration and implementation, our team evaluates the capacity of technologies to compete, as fully functioning systems, with existing or up-and-coming technologies.  

For example, our efforts in fluorescence analysis using LED-based differentiation of color are evaluated alongside traditional optical means of discerning colors cross the visible spectrum.   Similarly, in photovoltaics, we look at the capacity of certain types of technologies to succeed in certain applications.  While organic photovoltaics remain largely uncompetitive with silicon in large grid-scale system, they can compete and perform in more portable standalone systems with their silicon counterparts.   Complementary to our sensing technology research, we also assess overall context of exposure (e.g. exposure to arsenic from all sources in a typical daily life) rather than from a single source in order to determine best approaches to sensing system design. 

Select Publications

1. 1.Denise Wilson, Cassandra Hooper, and Xingyi Shi (2012) Arsenic in Juice: Apple, Citrus, and Apple-Base, Journal of Environmental Health, vol. 75, no. 5, pp. 14-20.
   

2. 2.Vaibhav Vaidya and Denise Wilson (2012) Maximum Power Tracking in Solar Cell Arrays using Time-Based Reconfiguration, Renewable Energy, 2012, vol. 50, pp. 74-81.
   

3. 3.Vaibhav Vaidya and Denise Wilson (2009) SPICE Optimization of Organic FET model using charge transport elements, IEEE Transactions on Electron Devices, vol. 56, no. 1, pp. 38-42.
   

4. 4.M.K. Boysworth, S. Banerji, D.M. Wilson, and Karl S. Booksh (2008) Generalization of multivariate optical computations as a method for improving the speed and precision of spectroscopic analyses, Journal of Chemometrics, vol. 22, no. 5-6, pp. 355-365.
   

5. 5.Vaibhav Vaidya, Susan Sogss, Jungbae Kim, Andreas Haldi, Bernard Kippelen, and Denise M. Wilson (2008).  Comparison of Pentacene and Amorphous Silicon AMOLED Display Driver Circuits,  IEEE Transactions Circuits and Systems I, vol. 55, no. 5, pp. 1117-1184.