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VERSION:2.0
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X-WR-CALNAME:Georgia State University - Department of Computer Science |  March 13 2012- April 12 2012
PRODID:-//strange bird labs//Drupal iCal API//EN
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120312T130000Z
DTEND;VALUE=DATE-TIME:20120315T210000Z
UID:http://www.cs.gsu.edu/?q=node/492
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/492
SUMMARY:Fifth International Conference on Information and Communication Technologies and Development (ICTD 2012)
DESCRIPTION:<br />
 
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120316T130000Z
DTEND;VALUE=DATE-TIME:20120316T210000Z
UID:http://www.cs.gsu.edu/?q=node/566
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/566
SUMMARY:Visual Propaganda and Online Radicalization Conference
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120321T150000Z
DTEND;VALUE=DATE-TIME:20120321T170000Z
UID:http://www.cs.gsu.edu/?q=node/568
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/568
SUMMARY:Protein Tertiary Model Assessment Using Granular Machine Learning Techniques
DESCRIPTION:<p>The automatic prediction of protein three-dimensional structures from an amino acid sequence has become one of the most important and researched fields in bioinformatics. As models are not experimental structures determined with known accuracy but rather with prediction\, it is vital to determine estimates of a model&#39\;s quality.&nbsp\; We attempt to solve this problem using machine learning techniques and information from both the sequence and structure of the protein.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120323T190000Z
DTEND;VALUE=DATE-TIME:20120323T210000Z
UID:http://www.cs.gsu.edu/?q=node/571
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/571
SUMMARY:Data Collection and Capacity Analysis in Large-Scale Wireless Sensor Networks
DESCRIPTION:<p>In this dissertation\, we study data collection and its achievable network capacity in large-scale Wireless Sensor Networks (WSNs). Firstly\, we investigate the data collection issue in dual-radio multi-channel WSNs under the protocol interference model. We propose a multi-path scheduling algorithm for snapshot data collection in single-radio multi-channel WSNs and derive its network capacity\, which is proven to have a tighter bound compared with the existing best result. We subsequently propose a novel continuous data collection algorithm for dual-radio multi-channel WSNs.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120328T170000Z
DTEND;VALUE=DATE-TIME:20120328T180000Z
UID:http://www.cs.gsu.edu/?q=node/569
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/569
SUMMARY:NeuronViz\: A Cloud-Based Collaborative Platform for Neuroscientists
DESCRIPTION:<p>In the field of neuroscience\, it is important to share knowledge of identified neurons among neuroscientists. This project presents a cloud-based collaborative platform for neuroscientists to browse and edit information about identified neurons online. NeuronViz is an ongoing effort that builds on the <a href=\\"http\://neuronbank.org\\">NeuronBank</a> project\, which was started several years ago by a group of faculty members and students from Computer Science and the Neuroscience Institute.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120405T180000Z
DTEND;VALUE=DATE-TIME:20120405T190000Z
UID:http://www.cs.gsu.edu/?q=node/577
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/577
SUMMARY:An Interactive Guide of Atlanta Community Resources on Mobile Devices
DESCRIPTION:<p>Community resources play an important role in the daily lives of people living in the low-income neighborhoods of Atlanta. These resources include health care\, child care\, literacy training\, education\, welfare\, social services\, transportation\, housing and neighborhood improvement\, public safety\, crime prevention and control\, recreation\, rural development\, and community improvement. The Public Health Institute at Georgia State University has developed a comprehensive guide of inner-city community resources.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120405T190000Z
DTEND;VALUE=DATE-TIME:20120405T200000Z
UID:http://www.cs.gsu.edu/?q=node/581
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/581
SUMMARY:An Android Application for 3D Tomography Visualization
DESCRIPTION:<p>The scope of the project is to visualize 3D surface tomography data obtained from volcano-affected areas. An Android application has been created that loads tomography data of a specific format from the SD card of mobile phones running Android. A 3D surface plot is built from the data.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120405T200000Z
DTEND;VALUE=DATE-TIME:20120405T210000Z
UID:http://www.cs.gsu.edu/?q=node/579
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/579
SUMMARY:Text Comparison and Visualization
DESCRIPTION:<p>In the past decade\, natural language processing applications have become part of our everyday experience\, from spell and grammar checking in word processors to machine translation on the web\, from email spam detection to automatic question answering\, from detecting people&#39\;s opinions about products or services to extracting appointments from email. In that context\, we developed a GUI application that takes unstructured text input\, processes it\, and then detects various parameters such as parts of speech (nouns\, verbs\, adjectives\, etc)\, readability indexes\, stress positions\, etc.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120406T150000Z
DTEND;VALUE=DATE-TIME:20120406T170000Z
UID:http://www.cs.gsu.edu/?q=node/576
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/576
SUMMARY:Algorithms for Transcriptome Quantification and Reconstruction from RNA-Seq Data
DESCRIPTION:<p>High-throughput RNA sequencing (RNA-seq)&nbsp\; is becoming a technology of choice for transcriptome analyses. It&nbsp\; allows us to reduce the sequencing cost and significantly increase data throughput\, but it is computationally challenging to use such data for reconstructing full-length transcripts and accurately estimating their abundances across all cell types. The common applications of RNA-seq are gene and transcript expression levels estimation\, transcriptome discovery\, and reconstruction.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120409T140000Z
DTEND;VALUE=DATE-TIME:20120409T160000Z
UID:http://www.cs.gsu.edu/?q=node/580
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/580
SUMMARY:Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads
DESCRIPTION:<p>The genomic diversity of viral quasispecies is a subject of great interest\, especially for chronic infections. Characterization of viral diversity can be addressed by high-throughput sequencing technology (454 Life Sciences\, Illumina\, SOLiD\, Ion Torrent\, etc). Standard assembly software was originally designed for single-genome assembly and cannot be used to assemble and estimate the frequency of closely related quasispecies sequences. This work develops parsimonious and maximum likelihood models for assembling viral quasispecies and estimating their frequencies from 454 sequencing data.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120410T180000Z
DTEND;VALUE=DATE-TIME:20120410T190000Z
UID:http://www.cs.gsu.edu/?q=node/582
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/582
SUMMARY:A Deterministic-Stochastic Crossover System for Simulating Biochemical Networks
DESCRIPTION:<p>Understanding biology at the system level has gained much more interest recently due to the rapid development in genome sequencing and high-throughput measurements. Mathematical descriptions of biological systems are normally formalized using two different approaches. The deterministic method is very efficient at predicting the overall behavior of the system but ignores the inherent fluctuations and correlations at lower concentration. The stochastic method\, on the other hand\, captures the intrinsic randomness but is often mathematically intractable and computationally expensive.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130519T072817Z
DTSTART;VALUE=DATE-TIME:20120411T150000Z
DTEND;VALUE=DATE-TIME:20120411T160000Z
UID:http://www.cs.gsu.edu/?q=node/586
URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/586
SUMMARY:An Educational Presentation of Parallel Processing Concepts
DESCRIPTION:<p>Parallel processing and parallel programming concepts are currently focused on the senior and graduate college levels of Computer Science and Information Technology educational curriculums\, even though they are playing a bigger and bigger role in all types of new system and software designs. My project aims to teach parallel processing concepts to earlier students (preferably high school and early college) of the engineering and computing fields. The basic concepts of parallelism are introduced in a video-game environment.
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