Abstract: In this talk, we consider the problem of finding a given number of "healthy" items from a large population containing a small number of "defective" items using nonadaptive group testing.
Abstract: The relationship between knowledge and action is a fundamental one: a processor in a computer network (or a robot or a person, for that matter) should base its actions on the knowledge (or information) it has.
Abstract: There is an ever increasing demand for instant and reliable information on modern communication networks. Physical layer re-transmissions can be thought of as opportunistic coding schemes.
We will prove the following fact: Assume that there are n three position switches that control whether the color of a single bulb is red, green or yellow.
Abstract: Models based on Ordinary Differential Equations (ODEs) or their stochastic counterparts are routinely applied in systems biology to understand, analyze and predict properties and behaviour of biomolecular dynamical systems, such
Abstract: Optimization problems where the number of variables $n$ is $10^4$ or more are now ubiquitous in all big data applications such as machine learning, social network science, si
Abstract: We consider the problem of selecting, from among n real-valued random variables, a subset of size m of those with the highest means, based on efficiently sampling the random variables.
