The award identifies the most influential paper from the proceedings of International Conference on Logic Programming 10 years prior that stood the test of time.
The paper initiated the development of Constraint Answer Set Programming — a collection of new methods for solving complex combinatorial problems, which is now used in multiple industrial applications.
M. Gelfond is also a recipient of 20 years Test of Time awards in 2004 and 2012. According to Google Scholar the number of citations for these three conference papers is now around 4000.
The long-term goal of their project is to develop a theoretical model of telepractice for speech-language services and to identify the factors that have an impact on the effectiveness of telepractice for individuals with speech-language disorders. In fact, the majority of previous studies examined efficacy of speech therapy using telepractice by comparing with traditional face-to-face method. Thus, no systematic investigation has resulted in the identification of any factors impacting effectiveness of telepractice on improving speech-language behaviors.
The short-term goal of the project is to examine the effect of animation-based learning on improving morphology skills using telepractice for children with hearing loss. They will develop a telepractice platform with animation function to evaluate the effect of animation-based learning on improving language behaviors. After the study is complete, the telepractice platform will become available to speech pathologists in rural areas of West Texas. A strong need exists for a telepractice platform that is open to speech pathologists in rural areas due to the cost of user licenses for commercially available telepractice platforms.
|http://www.nsf.gov/awardsearch/showAward?AWD_ID=1526055) with an amount of $255,807 to work on “System Research on Persistent High-Dimensional Data Access and Its Application to Semiclassical Molecular Dynamics Simulation”. |
One of the main challenges of big data is the large number of attributes or features of data, e.g. images, voices, and other multimedia data. Content-based searches of such multimedia data are transformed into proximity searches of high dimensional data with each attribute space represented by a dimension of the high dimensional space.
Professor Zhuang’s project addresses the challenges of large high-dimensional big data by proposing a middleware system for fast data access with easy-to-use interfaces for data organizing, indexing, search, and I/O operations.
This project addresses the challenges associated with the rapid evolution of the electricity grid with communication and human interactions considerations. The keystone of this research is the transformation of power distribution feeders, from relatively passive channels for delivering electricity to customers, to distribution microgrids, entities that actively manage local production, storage and use of electricity, with participation from individual customers.
This project addresses many socio-technological gaps necessary to translate from research discovery to commercial applications. To date, there is no theoretical framework to ensure system stability as renewable energy routed through power electronics replaces traditional rotating machinery.
Naeini taught “Introduction to Programming and Simulation” for “Science: It's A Girl Thing!” programProfessor Naeini developed and taught a short course (one week) about “Introduction to Programming and Simulation” in the summer camp 2015 for “Science: It's A Girl Thing!” program at TTU.
The purpose of this outreach event was to introduce computer science and programming to 5th-6th grade students using Alice 3 and NetLogo software. During this short course, students had fun making their own animations and games while learning about computer programming and computer science. Students also learned about computer simulations and worked with NetLogo to see some simple simulation examples, such as simulating propagation of fire in a forest!
This project proposes an initiative to design, develop, and deploy a virtual Texas Tech University based on Second Life (SL) technology. The scope of the proposed development of second life at TTU can be as small as experiencing a virtual library or a dormitory or it can be as large as walking around campus and visiting every building and laboratories.
The opportunities for second life projects in various virtual environments and scenarios are endless. Through this initiative, a system prototype for Texas Tech Second Life will be built. The Tech Second Life will be deployed on its own SL Island accessible through the Internet. The funding received will be used for implementing the proposed system, specifically to design a virtual map for TTU and develop a prototype second life on the leased island encompassing the Tech map with various places to gather information related to Tech.
The paper is titled “On Accuracy of Classification-based Keystroke Dynamics for Continuous User Authentication”. It received the Best Papwer Award and will be presented at The CyberWorld 2015 Conference (CW2015) in the Biometric and Cybersecurity Session, in Gotland, Sweden, in October 2015.
|http://www.nsf.gov/awardsearch/showAward?AWD_ID=1516636) with an amount of $348,732 to work on “Building Cybersecurity Workforce and Capacity through Enhancing Defending Skill Sets” (with Co-PIs Drs. Keith Jones and Fethi Inan). |
Professor Namin’s project will investigate attacking/defending strategies employed by security professionals and experts. The skillsets that will be identified by this project will be incorporated into instructional modules and materials that will provide students and professionals with the skills required to defend against cyberattacks.
This research project will introduce a simulated cyber battlefield that will consist of authentic challenges, scenarios, and strategies. This authentic and engaging learning platform will allow instructors to teach the basic and advanced topics of cybersecurity to students using a realistic scenario-based approach. The cybersecurity attack and defend scenarios will be integrated into an undergraduate course curriculum that will support student learning and will enhance the effectiveness of teaching security related concepts and cyber defense techniques.
With the delivery of the first $1,000 genome sequencer at 30x coverage by Illumina in 2014, the NGS (Next-Generation Sequencing) is “officially” becoming an indispensable tool in disease diagnosis, drug development, and clinical medicine. In the meantime, however, the difficulty in decoding, analyzing, and interpreting the gigantic amount of data is very likely to hamper the realization of the full potential of NGS, especially in the foreseeable near future.
Professors Chen and Yang’s project intends to design and develop data normalization algorithm, CNA (Copy Number Alterations) detection algorithm, and statistical methods and build a prototype of implementing these algorithms and methodologies for the integrated NGS data analysis.
Chen awarded $105,000 grant from NSF funded Cloud and Autonomic Computing Center (CAC) and Nimboxx Inc.Professor Chen recently received an award from the NSF funded Cloud and Autonomic Computing Center (CAC) and Nimboxx Inc. with an amount of $105,000 to work on a project titled “Unistore: A Unified Storage Architecture for Cloud Computing”.
Emerging large-scale applications on Cloud computing platform, such as information retrieval, data mining, online business, and social network, are data- rather than computation-intensive. Storage system is one of the most critical components for Cloud computing.
Traditional hard disk drives (HDD) are dominant storage devices in Clouds, but are notorious for long access latency and failure prone. The emerging storage class memory (SCM) such as Solid State Drives provides a new promising storage solution of high bandwidth, low latency, and mechanical component free, but with inherent limitations of small capacity, short lifetime, and high cost. Professor Chen’s project intends to build an innovative unified storage architecture (Unistore) with the co-existence and efficient integration of heterogeneous HDD and SCM devices for Cloud storage systems.
The dean of each of these academic units designates the recipient of the award, which carries with it a certificate and an honorarium of $500 funded by the Texas Tech Alumni Association. The awards are presented to faculty who have four years, or fewer, of service at any university and who have earned distinction for dedicated service to Texas Tech.
Feroz will present his full paper, "Examination of Data, Rule Generation and Detection of Phishing URLs using Online Logistic Regression," which was written with Dr. Susan Mengel, an associate professor of computer science.
Liu will present his paper, "In-advance Data Analytics for Reducing Time to Discovery," which was written with Yin Lu, a graduate computer science student, and Dr. Yong Chen, an assistant professor of computer science.
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|Dr. Yong Chen, an assistant professor of computer science, has been named a 2014 Institute of Electrical and Electronics Engineers (IEEE) Technical Committee on Scalable Computing (TCSC) Young Achiever in Scalable Computing. Five recipients were selected by the IEEE TCSC selection committee and the award will be presented at the 2014 International Conference on High Performance Computing, Networking, Storage and Analysis (SC14) conference in New Orleans, Louisiana in November.|
The IEEE TCSC annual Young Achiever in Scalable Computing Award recognizes up to 5 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of scalable computing within 5 years of receiving their Ph.D.
The IEEE TCSC is an International Forum within the IEEE, aimed at fostering research and education in Scalable Computing. TCSC is interested in all areas of scalable computing, including but not limited to, high performance computing systems, Cloud computing systems, Grid, algorithms, applications, scheduling and workflows, and various others.
|Dr. Richard Watson, associate professor of computer science, has been inducted into the Texas Tech Teaching Academy. He was selected because he has demonstrated a significant commitment to teaching excellence. The mission of the Teaching Academy is to advocate for teaching excellence, promote service related to the university's teaching mission, advise and mentor colleagues and others, and share knowledge about teaching strategies and their implementation as appropriate.
|Dr. Yong Chen, assistant professor and director of Data-Intensive Scalable Computing Laboratory at Texas Tech University, is leading a team of researchers in a $500,000 National Science Foundation grant titled, “Development of a Data-Intensive Scalable Computing Instrument (DISCI) for High Performance Computing.”|
The goal is to develop a new supercomputer prototype that could lead to more efficient data-intensive computing – and speed-up the scientific discovery cycle.
Read the full story on Texas Tech Today.
|advisors, registration dates, and special information for graduating seniors, visit the Undergraduate Advising page.
|Texas Tech Discoveries article.|
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|(ICDL). His paper was titled "ASP+POMDP: Integrating Non-monotonic Logical Reasoning and Probabilistic Planning on Robots."
|International Annual Meeting.
|(SMART) Scholarship for Service Program.