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UTA researcher wins grant to use data mining to improve diagnosis, treatment of depression

Mining thoughtsCurrent treatment for depression often calls for doctors to pore over pages and pages of notes taken by their patients, a huge task when multiplied by numerous patients. A University of Texas at Arlington researcher is working to create an automated system that will analyze those notes for patient-related knowledge discovery and also make them available as a training tool for new therapists. Heng Huang, a professor in the Computer Science and Engineering Department , won a three-year, $500,000 National Science Foundation 

UTA engineering researcher to develop tools to better analyze complex patient data

Big dataA UTA researcher is developing computing tools that will employ multiple methods of accessing and analyzing very large, complex patient data. This research could ultimately allow scientists and doctors to make better clinical predictions and work toward cures for diseases. The National Science Foundation  has awarded a five-year, $535,763 Faculty Early Career Development, or CAREER, grant to Junzhou Huang, an assistant professor in the Computer Science and Engineering Department 

UT Arlington work to safeguard cyber-physical systems made with legacy subsystems

Avoiding errorsA University of Texas at Arlington computer scientist will work to ensure that using legacy components in cyber-physical systems – those that have been reused from prior versions of a cyber-physical system in subsequent versions – will not result in failures due to unforeseen requirements made between software and physical components. Taylor T. Johnson, an assistant professor in the Computer Science and Engineering Department , will use a $397,807 grant from the Air Force Office of Scientific Research  to develop

UT Arlington computer scientist using deep web mining to make browsing easier

Making mobile accessibleA University of Texas at Arlington researcher is partnering with colleagues at Qatar University and George Washington University to make browsing on a cellphone easier. Browsing the Internet on a cellphone can be a daunting task if the sites visited are not mobile-friendly. UT Arlington researcher Gautam Das and his collaborators will automatically and seamlessly create a mobile-friendly website where one does not exist. Qatar University is the lead institution on the $900,000 project. George Washington University researchers also are involved. UT Arlington’s

Research uses data mining to help early identification, prevention of Alzheimer’s disease

Harnessing big dataA University of Texas at Arlington computer scientist will analyze complex data and use imaging genomics to predict a person’s probability of contracting Alzheimer’s disease. Heng Huang, a professor in the Computer Science and Engineering Department , won a five-year, $2 million grant through the National Institutes of Health to use multi-dimensional and longitudinal imaging genomic data to identify biomarkers that may be used for early prediction of Alzheimer’s disease, with the hope that the effects of the disease may be reversed or prevented.

UT Arlington computer scientist’s research would make robots more observant

Computer learningThe use of household robots for healthcare or service needs could help thousands of people, but most of those people do not have the skills to program those robots. A University of Texas at Arlington engineer is seeking ways to program robots by having them observe a human performing a particular task, then imitate it to complete the same objective. Manfred Huber, an associate professor in the Computer Science and Engineering Department , was awarded a highly competitive $139,968 Early-concept Grant for Exploratory Research, or EAGER, award from

New UT Arlington-developed product could help concepts become working apps

Managing data handoffDesigning mobile applications for phones and other devices requires a handoff between graphic designers and programmers that can be cumbersome and time-consuming. However, a team of researchers at The University of Texas at Arlington has developed a computer program to automatically create a working app from an artist’s concepts. The product, called PixeltoApp, may soon enter the marketplace, aided by a National Science Foundation I-Corps grant . The idea is the brainchild of doctoral

UT Arlington computer system to reserve vehicles, send reminders to veterans

Reservation pleaseA University of Texas at Arlington computer scientist is designing a reservation/reminder software system as part of a project that will eventually lead to veterans on military bases being driven to doctor appointments via driverless cars. Manfred Huber, associate professor in the Department of Computer Science and Engineering , is principal investigator on the $100,000 project with Robotic Research LLC, which is leading the entire driverless vehicle project. Initially, this Applied Robotics for Installation And Base Operations, ARIBO 

UT Arlington research looks to unlock connections among social network data

Big dataA UT Arlington computer science and engineering professor has won a $450,000 Army Research Office grant to develop efficient analytic techniques for combining and understanding the data stored in online social networks. Gautam Das, professor of Computer Science and Engineering  in the College of Engineering , said the grant is to find “implicit edges” in the uses of social networks. Implicit edges connect two seemingly unrelated occurrences on a social media platform. In contrast, explicit edges represent the more

UT Arlington computer science engineering students win challenge for real-time traffic app

Traffic fixThree University of Texas at Arlington Computer Science and Engineering  students have won a $10,000 prize in the NTx Apps Challenge for a smart traffic light network that adjusts traffic light schedules to make traffic flow more efficient. GridLock was developed by Zedd Shmais, James Staud and Nhat Tran. All are seniors from Fort Worth. The team created a real-time monitoring system that analyzes traffic conditions and enables better vehicular flow. “We are elated,” Staud said. “We wanted to do something to ease traffic congestion and reduce traffic

UT Arlington research team’s work could lead to earlier diagnosis, treatment of mental diseases

Detecting neural glitchesA computer science and engineering associate professor and her doctoral student graduate are using a genetic computer network inference model that eventually could predict whether a person will suffer from bipolar disorder, schizophrenia or another mental illness. The findings are detailed in the paper “Inference of SNP-Gene Regulatory Networks by Integrating Gene Expressions and Genetic Perturbations,” which was published in the June edition of Biomed Research International . The principal investigators were

UT Arlington expands unmanned vehicle systems certification program to graduate level

Coursework includes building UVSThe University of Texas at Arlington will start a new, graduate-level unmanned vehicle systems certification this fall in anticipation a growing need for engineers in that quickly emerging field. The program expands upon an April 2014 announcement that offers an undergraduate certification in unmanned vehicle systems this fall to degree-seeking students. Both programs are a collaboration between the College of Engineering and the UT Arlington Research Institute, which won Federal Aviation Administration approval early this year for unmanned aircraft

Unmanned vehicle systems certification aims to fill growing need for expertise

Spending in industry predicted to double in next decadeThe University of Texas at Arlington announces a new unmanned vehicle systems undergraduate certificate for students interested in careers in one of the nation’s most exciting engineering fields. The program is a collaboration between the College of Engineering and the UT Arlington Research Institute, which received Federal Aviation Administration approval early this year for unmanned aircraft system test flights at the Institute’s Fort Worth campus. Engineering Dean Khosrow Behbehani said the certificate will help meet business

Student team takes first place, $10,000 prize in AT&T Coding Contest

UT Arlington team wins for second year in a rowA team of UT Arlington undergraduate engineering students has taken first place and a $10,000 prize in the second annual AT&T Coding Contest for developing a cell phone app that discourages motorists from reading text messages when driving faster than 15 mph. The team included senior James Fielder, freshman Keyurkumar Patel and juniors Zedd Shmais, Kevin Chung and Andrew Toscano. All are Computer Science & Engineering students. The 12-week competition included 25 teams. The University of Puerto Rico at Mayaguez, Georgia State University,

Computer science team developing system to ensure privacy in electronic health records

Researchers want to make data available to secondary analysisTwo University of Texas at Arlington researchers are leading a collaborative National Science Foundation project to protect personal, electronic healthcare data while ensuring that the anonymous records can be used for secondary analysis and improved health care. Associate Professor Heng Huang (PI) and Professor Guatam Das (Co-PI), both of the UT Arlington Computer Science & Engineering Department, have teamed to develop the new computational model that will de-identify information in electronic health records. Huang is the

Computer scientist uses groundbreaking approach to mine electronic medical record data for better health care

NSF grant compiles Big Data for healthier livingA UT Arlington computer scientist is leading a new, National Science Foundation project to mine electronic medical records data to help physicians personalize patient treatment, predict health care needs and identify risks that can lead to readmission. Heng Huang, an associate professor of the Computer Science & Engineering Department , is the leading principal investigator on an $461,098 grant titled “Robust Large-Scale Electronic Medical Record Data Mining Framework to Conduct Risk Stratification for Personalized

UT Arlington engineers lead $1 million NSF project to develop personalized iRehab system

UT Arlington teams with Boston University, Havard's Massachusetts General on tool that could revolutionize physical therapyA UT Arlington multidisciplinary team will lead a three-year, $1 million National Science Foundation grant project to develop iRehab, a smart rehabilitation system that can adapt and personalize therapy programs based on a patient’s needs and constraints. Fillia Makedon, a Jenkins-Garrett distinguished professor and chair of the Computer Science and Engineering Department , will lead the research effort “MRI (Major Research Instrumentation)

Khosrow Behbehani named dean of the UT Arlington College of Engineering

The University of Texas at Arlington College of Engineering serves more than 4,000 students, includes more than 200 faculty members and has total research expenditures exceeding $30.6 million.ARLINGTON – Khosrow Behbehani, a noted biomedical researcher, inventor and chairman of the UT Arlington Department of Bioengineering, has been appointed dean of the University’s College of Engineering. Behbehani joined The University of Texas at Arlington in 1985 and has served as chairman of his department since 2002. He holds nine patents, with one patent pending, and is a fellow of the National

Adaptable software, tools aim to help rheumatoid arthritis patients

Game-like system could alter physical therapy regimensUT Arlington researchers are creating individualized, patient-centered rehabilitation software systems that will promote and support physical therapy for people with rheumatoid arthritis. Fillia Makedon, Jenkins Garrett distinguished professor and chair of the Computer Science and Engineering Departmen t is leading a cross-disciplinary team that will use remote monitoring of people with rheumatoid arthritis to increase compliance and proper physical therapy. The work is funded by a National Science Foundation

UT Arlington software engineer’s tool makes for quicker tests

A UT Arlington software engineer is refining a computer testing tool that reduces the amount of time and expense companies must spend to determine whether a new program works. Jeff Lei, an associate professor of computer science and engineering , said the Advanced Combinatorial Testing System has myriad applications though he currently is focused on using ACTS in healthcare information technology. Lei’s work is supported by two new National Institute of Standards and Technology grants worth a total of $400,000. The work has the potential to greatly reduce the

NSF grant helps UT Arlington engineers commercialize new system to help consumers monitor, save energy costs

A UT Arlington Computer Science & Engineering team is developing a sensor and monitoring system to put consumers in charge of monitoring energy, gas and water use with a goal of saving them money. The project builds on pervasive computing technology developed by professor Sajal Das, director of UT Arlington’s Center for Research in Wireless Mobility and Networking.  Das and doctoral student Giacomo Ghidini are one of 100 recipient teams of a 2012 National Science Foundation Innovation Corps, or I-Corps, grant intended to move research to the marketplace. “If

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