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$30 USD / hour
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$30 USD / hour
Det er i øjeblikket 10:20 PM her
Tilmeldt april 2, 2012
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Son H.

@sonhoang

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Genansættelsesrate

Machine Learning - Pattern Recognition - Semantic Web -NLP

I am a computer science, pattern recognition specialist. I am equipped with critical thinking and machine learning techniques, which give me the ability to explain the what, the how, the right and the wrong. I am self-motivated, responsible, creative, dynamic, enthusiastic, determined, straightforward, and professional.

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Erfaring

Postdoc

University of Houston
sep. 2013 - Nuværende
While recent advances in hardware technology promise a major step forward in the development of such active portable space radiation dosimeters, little effort has been devoted toward software tools for analysis and classification of sources of radiation. Coupling radiation dosimeter hardware with pattern recognition techniques and machine learning tools has the potential to greatly improve current applications on space dosimeter projects. Our focus is not only to measure dosimetric endpoints directly such a

PhD Candidate

University of Houston
aug. 2010 - dec. 2013 (3 år, 4 måneder)
Working on Machine Learning and applications for Space Radiation Dosimetry Project

Research Assistant

HMCM University of Technology
mar. 2008 - aug. 2010 (2 år, 5 måneder)
Nowadays, World Wide Web (abbreviated by Web) has become not only a huge information source for human being but also an indispensable environment for transferring information in our informational era. The popularity and exploration of information on Web has faced a challenge of how to exploit efficiently information on the Web and how to aid computer to process automatically such that information. In doing so, firstly, computer must understand the information embedded in Web documents which are stored using

Uddannelse

PhD

University of Houston, United States 2010 - 2013
(3 år)

Kvalifikationer

Vietnam Education Foundation

Vietnam Education Foundation
2010
The mission of the Vietnam Education Foundation (VEF) is to help Vietnam build excellence in science and technology (S&T), and by so doing, bring the United States and Vietnam closer together. Specifically, VEF aims to help Vietnam establish a science, engineering, medical, and technical community of people and institutions that can implement a strong teaching and research agenda, create economic growth, maintain scientific cooperation with the U.S., and enable Vietnam to gain from, and contribute to, scientific and technological advances globally.

Publikationer

Ontology-Based Proximity Search

Springer
This paper presents our developed general open source for ontology-based information retrieval to answer queries that involve named entities with their ontological features, namely, aliases, classes, and identifiers. We propose a novel approach for semantic search engines that exploit the ontology features of named entities in proximity search and develop an algorithm for computing dynamic distances between named entities and keywords in queries and documents. In particular, it deals with phrase and proximi

Simulation of Van Allen Belt and Galactic Cosmic Ray Ionized Particle Tracks in a Si Timepix Detector

ICRC
The Timepix readout chip is a hybrid pixel detector with over 65k independent pixel elements. Each pixel contains its own circuitry for charge collection, counting logic, and readout. When coupled with a Silicon detector layer, the Timepix chip is capable of measuring the charge, and thus energy, deposited in the Silicon detector layer. FLUKA simulations of energy deposition within the silicon layer have been carried out using models describing the particle flux within the Van Allen Radiation Belts as well

Machine Learning for Identification of Sources of Ionizing Radiation During Space Missions

AAAI Press
We describe the current state of a project implementing a machine learning tool for the automated identification and classification of tracks of ionizing radiation during space missions. The tracks of ionizing radiation are measured by the hybrid semiconductor Medipix2 pixel detector system. Our analysis makes use of data taken in beams of heavy ions at HIMAC (Heavy Ion Medical ACcelerator Facility) in Chiba, Japan. The classification problem consists of predicting the nature of the source of radiation aft

Classification of Sources of Ionizing Radiation in Space Missions: A Machine Learning Approach

Acta Futura 5
We describe a machine learning approach to the automated identification and classification of tracks of ionizing radiation during space missions. e tracks of ionizing radiation are measured by the hybrid semiconductor Medipix2 pixel detector system. Our analysis makes use of data taken in beams of heavy ions at HIMAC (Heavy Ion Medical ACcelerator Facility) in Chiba, Japan. e classification problem consists of predicting the nature of the source of radiation after analysis of track structures on pixe

Preparing for the First Medipix Detectors in Space

IEEE
Current plans call for two separate missions to deploy Medipix2-Technology-based detectors in space for the first time. NASA is planning to deploy 5 or more Radiation Environment Monitor (REM) units, each of which will contain a Medipix2 TimePix-based detector assembly, on the International Space Station (ISS) during the spring of 2012 as part of a Station Detailed Test Objective (SDTO). These units will be mounted on a single 8-layer printed circuit board containing a USB-based interface. The entire unit w

Initial Results on Charge and Velocity Discrimination for Heavy Ions using Silicon Timepix Detectors. In the 14th International Workshop on Radiation Imaging Detectors

IOP
The Timepix ASIC is a version of the hybrid pixel detector technology developed by the Medipix2 Collaboration [1]. Within the 256 by 256 pixel matrix, the electronics for each of the 55μm individual pixels are contained in the footprint of that pixel. The Timepix has a charge-sensitive pre-amp and an associated discriminator attached to a logic unit capable of being employed in one of several different modes. For the present work, the Time-Over-Threshold mode was used to allow measurement of deposited energ

LET Estimation for Heavy Ion Particles based on a Timepix-based Si Detector. International Conference on Computing in High Energy and Nuclear Physics

IOP
Linear Energy Transfer (LET) is a measure of the energy transferred into a material as an ionizing particle passes through it. This quantity is useful in estimating the biological effects of ionizing radiation as expressed in dosimetric endpoints such as Dose-equivalent. Pixel detectors with silicon sensors --like the Medipix2 Collaboration’s Timepix-based devices-- are ideal instruments to measure the total energy deposited by a transiting ionizing particle. In this paper we propose an approach for determi

Data Analysis of Tracks of Heavy Ion Particles in Timepix Detectors

IOP
In this paper, we describe some of the computational challenges that need to be addressed when developing active Space Radiation Monitors and Dosimeters using the Timepix detectors developed by the Medipix2 Collaboration at CERN. Measurement of the Linear Energy Transfer (LET), the source and velocity of incident ionizing radiation, are of initial interest when developing such operational devices because they provide the capability to calculate the Dose-equivalent, and to characterize the radiation field fo

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