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- Javad Heydari, Ali Tajer, H. Vincent Poor
- 2015 53rd Annual Allerton Conference on…
- 2015

The problem of quickest data-adaptive and sequential search for clusters in a Gauss-Markov random field is considered. In the existing literature, such search for clusters is often performed using fixed sample size and non-adaptive strategies. In order to accommodate large networks, in which data adaptivity leads to significant gains in detection quality… (More)

- Javad Heydari, Ali Tajer
- IEEE Transactions on Information Theory
- 2015

Consider a set of random sequences, each consisting of independent and identically distributed random variables drawn from one of the two known distributions F<sub>0</sub> and F<sub>1</sub>. The underlying distributions of different sequences are correlated, induced by an inherent physical coupling in the mechanisms generating these sequences. The objective… (More)

- Ali Tajer, Javad Heydari
- IEEE Trans. Communications
- 2015

- Javad Heydari, Ali Tajer
- IEEE Transactions on Signal and Information…
- 2017

A network of agents that form a random graph is considered. Each agent represents an information source that generates a sequence of random variables (RVs). The RVs generated by an unknown subset of nodes are correlated according to a known kernel, while the remaining nodes generate independent and identically distributed random variables. To identify and… (More)

- Javad Heydari, Ali Tajer
- 2016 IEEE Statistical Signal Processing Workshop…
- 2016

Line outage detection and localization play pivotal roles in contingency analysis, power flow optimization, and situational awareness delivery in power grids. Hence, agile detection and localization of line outages enhance the efficiency of operations and their resilience against cascading failures. This paper proposes a stochastic graphical framework for… (More)

- Javad Heydari, Ali Tajer
- 2016 54th Annual Allerton Conference on…
- 2016

A large network of agents in which each agent generates one random variable is considered. The random variables generated by an unknown subset of nodes form a correlation structure, while the remaining nodes generate independent and identically distributed random variables. This paper formalizes and analyzes the quickest search strategy, the goal of which… (More)

- Javad Heydari, Ali Tajer
- ArXiv
- 2017

Agile localization of anomalous events plays a pivotal role in enhancing the overall reliability of the grid and avoiding cascading failures. This is especially of paramount significance in the large-scale grids due to their geographical expansions and the large volume of data generated. This paper proposes a stochastic graphical framework, by leveraging… (More)

- Javad Heydari, Ali Tajer
- ACSSC
- 2014

- Ali Tajer, Javad Heydari
- ICC
- 2015

- Javad Heydari, Ali Tajer, H. Vincent Poor
- 2016 IEEE International Symposium on Information…
- 2016

Detecting correlation structures in large networks arises in many domains. Such detection problems are often studied independently of the underlying data acquisition process, rendering settings in which data acquisition policies and the associated sample size are pre-specified. Motivated by the advantages of data-adaptive sampling in data dimensionality… (More)