The IEEE 802.15.4 standard has attracted time-critical applications in wireless sensor networks (WSNs) because of its beacon-enabled mode and guaranteed timeslots (GTSs). However\, the GTS management scheme'\;s built-in security mechanisms still leave the 802.15.4 medium access control (MAC) vulnerable to attacks. Further\, the existing techniques in the literature for securing 802.15.4 networks either focus on non-beacon-enabled 802.15.4 networks or cannot defend against insider attacks for beacon-enabled 802.15.4 networks. END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130519T201357Z DTSTART;VALUE=DATE-TIME:20110211T140000Z DTEND;VALUE=DATE-TIME:20110211T150000Z UID:http://www.cs.gsu.edu/?q=node/425 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/425 SUMMARY:Synchronization and Phase Locking in Networks of Pulse Coupled Nonlinear Neural Oscillators DESCRIPTION:
Synchronized neural activity is thought to underlie many aspects of cognition\, including recognition\, recall\, perception\, and attention. Coordinated neural activity in central pattern generators (CPGs) located in the spinal cords of vertebrates or the ganglia of invertebrates also underlies repetitive motor activity. Pathological synchrony is associated with epilepsy and tremor. END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130519T201357Z DTSTART;VALUE=DATE-TIME:20110215T163000Z DTEND;VALUE=DATE-TIME:20110215T180000Z UID:http://www.cs.gsu.edu/?q=node/427 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/427 SUMMARY:Inferring Genomic Sequences DESCRIPTION:
In this dissertation\, we address two different genomic inference problems\, namely\, assembling viral quasispecies sequences and estimating their frequencies from ultra-deep sequencing data and inferring the allelic value of single nucleotide polymorphisms (SNPs) from the set of chosen informative (tag) SNPs.
END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130519T201357Z DTSTART;VALUE=DATE-TIME:20110218T190000Z DTEND;VALUE=DATE-TIME:20110218T200000Z UID:http://www.cs.gsu.edu/?q=node/429 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/429 SUMMARY:Data Mining in Bioinformatics\: Techniques\, Methods and Challenges DESCRIPTION:In this talk\, I will discuss some of the latest data mining techniques and methods and their applications in bioinformatics study\, focusing on bioinformatics data integration\, biomedical literature mining\, and graph-based data mining in biological networks. In bioinformatics data integration\, I will present a semantic-based approach for multi source bioinformatics data integration. END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130519T201357Z DTSTART;VALUE=DATE-TIME:20110225T143000Z DTEND;VALUE=DATE-TIME:20110225T153000Z UID:http://www.cs.gsu.edu/?q=node/430 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/430 SUMMARY:Translational Bioinformatics and Quantitative Biology in Cancer Research\: From Understanding Genetic and Molecular Signatures of Human Disease to Personalized and Pathway-Centric Medicine DESCRIPTION:
The greatest challenge of the postgenomic era is to understand the function of genes and gene products in multiple organisms &mdash\;including humans&mdash\;both from fundamental and applied perspectives. This will ultimately enable the design of new diagnostic tools and pharmacological agents and facilitate efficacious treatment of many pathological processes. END:VEVENT END:VCALENDAR