Hesam T. Dashti

  • Citations Per Year
Learn More
In this chapter, the focus is on an important issue of robots’ decision making process which is positioning. Positioning involves making the best decision for the agents who do not possess the ball regarding the team strategy and consequently finding the best target for them. Current section would express some evidences to prove the positioning criticality.(More)
Post-genomic research deals with challenging problems in screening genomes of organisms for particular functions or potential for being the targets of genetic engineering for desirable biological features. ‘Phenotyping’ of wild type and mutants is a time-consuming and costly effort by many individuals. This article is a preliminary progress report in(More)
This paper discusses a density based clustering approach for a guided kernel based clustering algorithm, named MK-means (Modified K-means). Our idea is to improve the guided K-Means clustering algorithm and discuss the benefits of using MK-Means algorithm for clustering algorithm in astrophysics data bases. The improvements made allow handling clustering(More)
Address: 1Department of Computer Science, Tehran University, Tehran, Iran, 2Biophysics Program, University of Wisconsin-Madison, Madison, WI 53706, USA, 3Department of Psychiatry, Duke University & Medical Center, Durham, NC 27710, USA, 4Department of Anesthesiology, Duke University & Medical Center, Durham, NC 27710, USA, 5Department of Research(More)
Numerous retinopathies are related to the dysfunction of retinal vasculature, especially micro-vessels. Extensive research in ophthalmology has singled out critical roles of vascular morphology, and the functional dynamics of blood flow in diseases. Advances in angiography has yielded a myriad of applications for computational methods that design efficient(More)
The history of research on eigenvalue problems is rich with many outstanding contributions. Nonetheless, the rapidly increasing size of data sets requires new algorithms for old problems in the context of extremely large matrix dimensions [21]. This paper reports on new methods for finding eigenvalues of very large matrices by a synthesis of evolutionary(More)
Systems biology of plants offers myriad opportunities and many challenges in modeling. A number of technical challenges stem from paucity of computational methods for discovery of the most fundamental properties of complex dynamical systems. In systems engineering, eigen-mode analysis have proved to be a powerful approach. Following this philosophy, we(More)
Tuberculosis is a treatable but severe disease caused by Mycobacterium tuberculosis (Mtb). Recent statistics by international health organizations estimate the Mtb exposure to have reached over two billion individuals. Delay in disease diagnosis could be fatal, especially to the population at risk, such as individuals with compromised immune systems.(More)
Understanding the structure of relationships between objects in a given database is one of the most important problems in the field of data mining. The structure can be defined for a set of single objects (clustering) or a set of groups of objects (network mapping). We propose a method for discovering relationships between individuals (single or groups)(More)
The problem Phenotypic variation is ubiquitous. Diversity in behavioral response within a single genotype is ubiquitous. Sources, mechanisms and innovations in variation within a genotype are hardly understood. In neuroscience, the problem of genotype-phenotype relationship is notoriously difficult due to many intermediate layers that mediate between the(More)