Jun Geng

Learn More
—In this paper, we study the design and analysis of optimal detection scheme for sensors that are deployed to monitor the change in the environment and are powered by energy harvested from the environment. In this type of applications, detection delay is of paramount importance. We model this problem as quickest change detection problem with stochastic(More)
—We consider linear regression problems for which the underlying model undergoes multiple changes. Our goal is to estimate the number and locations of change-points that segment available data into different regions, and further produce sparse and interpretable models for each region. To address challenges of the existing approaches and to produce(More)
— In this paper, Bayesian quickest change detection problems with sampling right constraints are considered. In particular , there is a sequence of random variables whose probability density function will change at an unknown time. The goal is to detect this change in a way such that a linear combination of the average detection delay and the false alarm(More)
—The problem of sequentially finding an independent and identically distributed (i.i.d.) sequence that is drawn from a probability distribution F1 by searching over multiple sequences, some of which are drawn from F1 and the others of which are drawn from a different distribution F0, is considered. The sensor is allowed to take one observation at a time. It(More)
—In this paper, quickest detection problem with sample right constraints is considered. Specifically, there is a sequence of samples whose probability density function will change at an unknown time. The goal is to detect such a change in a way that a linear combination of the detection delay and false alarm probability is minimized. However, one can take(More)
The problem of sequentially finding an independent and identically distributed (i.i.d.) sequence that is drawn from a probability distribution f 1 by searching over multiple sequences, some of which are drawn from f 1 and the others of which are drawn from a different distribution f 0 , is considered. The observer is allowed to take one observation at a(More)
We consider high dimensional linear regression models where p n 0 or p >> n, where p is the number of parameters in coefficients and n is the number of data sample. The coefficients in the linear regression model are sparse and has multiple change-points in n data samples. Our goal is to estimate the number and locations of change-points in the high(More)
In this paper, we study the design and analysis of optimal detection scheme for sensors that are deployed to monitor the change in the environment and are powered by the energy harvested from the environment. In this type of applications, detection delay is of paramount importance. We model this problem as quickest change detection problem with a stochastic(More)
Experiments have investigated shape changes of polymer films induced by asymmetric swelling by a chemical vapor. Inspired by recent work on the shaping of elastic sheets by non-Euclidean metrics [Y. Klein, E. Efrati, and E. Sharon, Science 315, 1116 (2007)], we represent the effect of chemical vapors by a change in the target metric tensor. In this problem,(More)