Welcome
The Department of Computer Science and Engineering is noted for research and teaching excellence.
Its internationally recognized faculty members are engaged in breakthrough research across the leading areas
of computer science and engineering.
The department's graduates work at America's leading companies and governmental agencies and in
other sectors. UTA's location in the Dallas-Fort Worth metroplex - one of the nation's two most influential technology
corridors - and strong relationship with major technology companies such as
Raytheon, Lockheed Martin, Nokia, Sabre Holdings and Motorola provide students with outstanding
opportunities for internships and jobs.
Events
FRIDAY
December 5, 10:30 AM- Noon Invited Talk: Yale Patt, "Education: Are there any questions?"
ANNOUNCEMENTS
NEW CSE Courses
CSE 6349::Fall 2008: Special Topics in Advanced Networks (Opportunistic Networks and Computing)
CSE 5336::Fall 2008: Stream Data Management
CSE 6329::Fall 2008: Special Topics in Advanced Software Engineering
CSE 4392::Fall 2008: Art, Computing and Story Telling
NEW CSE COMPUTER ENGINEERING DEGREE Read More....
GREENROOF : TBA Work In Progress
Graduate Student Openings for Fall 2008
View the Graduate Applications webpage for details. Please visit the
Research page for information on graduate research areas.
NEWS
NSF award for research on Collaborative Virtual Observation in Dynamic Environments
Congratulations to Professors Dr. Mohan Kumar (PI) and Dr. Yonghe Liu (co-PI) who
are awarded with NSF award for research in Collaborative Virtual Observation in Dynamic Environments by NSF Electrical, Communications and Cyber Systems (ECCS) Division
NSF proposal recommended for an award
Congratulations to Professors Dr. Mohan Kumar (PI) and Dr. Yonghe Liu (co-PI) whose NSF proposal is
being recommended for an award by the CISE, CNS Division of NSF for research in "DOC - Distributed Opportunistic Computing".
NSF award for a Collaborative Research
Congratulations to Professor Chris Ding for a new NSF award that is coming.
The NSF/ DMS program will award Prof. Ding and his colleague Prof. Li from FIU, $100K ($56K for UTA and $44 for FIU) for their
proposed work on "Nonnegative matrix factorization for data mining".
NSF proposal recommended for an award
Congratulations to Professors Vassilis Athitsos (PI) and Dr. Gautam Das (co-PI) whose NSF proposal is
being recommended for an award by the IIS Division of NSF.
NSF Grant awarded for Dr. Gautam Das and Dr. Nan Zhang
Professors Dr. Gautam Das and Dr. Nan Zhang's proposal for reserach on "Data Analytics over Hidden
Databases" has been awarded with NSF Grant. The grant amount is $120,001 for the period of 18 months starting from 9/1/2008. Dr. Das is th Principal Investigator and Dr. Zhang is the Co-PI.
NEW FACULTY HIRED
It is with great pleasure that we announce the hiring for Dr. Christoph Csallner as Assistant Professor in the CSE Department.
Dr. Csallner is an expert in software engineering and is working on software engineering problems, such as how to find software
bugs automatically or how to automatically infer program invariants.
The First bigD* Regional Symposium on Data and Information Management
The Data Management Group in CSE Department is organizing the first bigD* Regional Symposium
on Data and Information Management. The goal of this symposium is to foster the collaborations
and interactions among a large number of research groups working on topics related to data and
information management, in the universities and research institutes in Texas and nearby states.
The name "bigD*" has been chosen as a pun (on BigD! used by the DFW Metroplex) to refer to all
these research groups. The star in D* matches all the areas related to Data and Information
Management, including Databases, Data Mining, Information Retrieval, Multimedia, Data
Visualization, Bioinformatics, and other related areas.
The first bigD* regional symposium on data and information management is being hosted by the
University of Texas at Arlington, on April 19, 2008. Following this, research institutes in
the area will take turn to host this event annually or bi-annually. During the first
symposium, an organization meeting is scheduled to take place, for discussions of future
plan and the 2nd symposium.
Read More.
You cas see photos of symposum Here.
Dr. Fillia Makedon received a $500K grant from the National Science Foundation
Dr. Fillia Makedon has received a $500K grant from the National Science Foundation as the
principle investigator to study trustworthy recommendation systems.
Assistant Professor of Computer Science & Engineering Dr. Chengkai Li has received a $10,000 Research Enhancement Program Grant
University of Texas at Arlington Assistant Professor of Computer Science & Engineering Dr. Chengkai Li has received a $10,000 Research Enhancement Program grant to conduct research on problems associated with mashing up information on the Web.
1st International Coference On PErvasive Technologies Related to Assistive Environments : PETRA 2008
The PETRA Conference brings together different types of technology to address an important social
and healthcare issue: as the world's population ages, there is growing interest in solutions for
the in- home care of the elderly as well as for the care of people with Alzheimer's, Parkinson's
and other disabilities or traumas. PETRA (which means "stone" in Greek) reflects the needs of the
domestic environment, or "Oikos" as it was known in ancient Greece, but from a technological
perspective. People's living environments are particularly important in an increasingly crowded
and complex world where the need for inclusiveness and connectivity with the rest of the world is
key. PETRA addresses the fact that, as people grow older, they will increasingly rely on technology
to be able to stay in their homes.
NSF DOCTORAL CONSORTIUM STUDENT-AUTHOR TRAVEL SCHOLARSHIPS
We expect NSF funding to support a number of graduate student authors to participate in PETRA'08.
Funding will be made available of up to $1500 per student to cover his or her expenses. Women and
minorities are encouraged to apply. It is expected that the student's institution will cover the
remaining expenses.
8th Annual High School Robot Programming Contest Lets Students Show Off Their Skills At UTA
Little yellow robots buzzed around the Nedderman Hall atrium at the University of Texas at
Arlington on Saturday, February 9th, 2008. The robots were programmed and built by high
school students to compete in the High School Robot Programming Contest, RoPro, sponsored
by the Computer Science and Engineering Department at UTA (CSE@UTA). Twenty-two teams from
nine area high schools competed in this annual outreach and recruiting event. New teams
competed in the speed-based beginning maze competition where the robot does not know the
course beforehand. More experienced teams competed in the advanced maze competition where
“virtual” walls, made of colored tape on the floor, had to be treated just like the wooden
walls and in the object finding competition where robots must locate, identify and the move
colored golf balls within the maze.
Dr. Ishfaq Ahmad becomes a Fellow of the IEEE
Dec 21, University of Texas at Arlington Professor of Computer Science & Engineering
Ishfaq Ahmad has been elevated to the rank of Fellow of the Institute of Electrical & Electronics
Engineers (IEEE). Dr. Ahmad, who had been a Senior Member of the organization, was recognized for
his contributions to scheduling techniques in parallel and distributed computing systems.
$265K Department of Justice Grant for Personnel Locator Research
Nov 1, The CommTech Program in the National Institute of Justice (NIJ), Department of
Justice, has awarded researchers in the Computer Science & Engineering Department
a $264,879 grant to develop a mesh network based solution to identify and locate
strategic personnel within a secure area such as a police precinct.
$900,000 NSF Grant For Technology To Study American Sign Language
Oct 29, Assistant Professor Vassilis Athitsos and his collaborators have been awarded
a three-year, $900,000 National Science Foundation (NSF) grant to develop new technology for learning American Sign Language (ASL).
The research will focus on designing novel computer vision and machine learning methods for automatic sign recognition.
The project is titled "Large Lexicon Gesture Representation, Recognition, and Retrieval." It is
led by Professors Stan Sclaroff and Carol Neidle at Boston University, and Professor Vassilis
Athitsos at UT Arlington.
Professor Sajal Das wins IEEE Engineer of the Year Award
Oct 14, Dr. Sajal Das was awarded the "IEEE Engineer of the Year Award" by the
IEEE Ft. Worth Section during the Metrocom 2007 Conference held in Arlington.
This award recognizes the recipient's leadership and technical contributions in engineering,
community and societal activities.
The amount is $336,817 and the duration is 3 years starting form August 15, 2008
Abstract
The objective of this project is to develop a framework for anytime anywhere collaborative virtual observation of events occurring in dynamic environments. The approach of this work is to enhance recently developed virtual observation concept by adapting seamless software service composition mechanisms developed for pervasive systems. The observations made at different points in time and space will be stitched together based on location, query, device and other variables. Protocols for soft-real time delivery of data packets in heterogeneous networks comprising a combination of continuous and disruption tolerant communication channels, will be developed. Middleware tools will be created to perform reactive and proactive query processing, matching and synthesis of integrative panoramic views.
The novelty of the proposed work lies in the launching of the virtual observers, in retrospect, but in soft real-time, on any device in a mobile environment and the concatenation of successive virtual observers to create virtual tours. Development of an integrated framework for video acquisition, stream processing, video synthesis, opportunistic networking and integrated pervasive services in dynamic and heterogeneous environments are original contributions of this project..
The research will lead to new insights in the areas of video surveillance and security of public places. In general, outcomes of this project have broad applicability in such areas as, manufacturing, education, military, and entertainment. The international collaboration will enable our graduate students, including those from minority groups, to interact with students and researchers in Australia to broaden each others' knowledge and skills.
* Co-funding from OISE (Office of International Science and Engineering) for collaboration with Curtin University of Technology, Perth, Australia.
Dr. Yonghe Liu
Dr. Mohan Kumar
The amount is $159,998 for 2 years.
Proposal Abstract
The objective of this project is to carry out preliminary, fundamental research work in the area of opportunistic computing. When pairs of devices come within each others’ communication range, opportunistically, short-lived links (or opportunistic links) are created. Opportunistic computing exploits the opportunistic links created by pair-wise contacts, to share information content, resources and services, leading to a wide variety of applications. Groups of computing nodes and their associated pair-wise contacts in an opportunistic network give rise to a distributed opportunistic computing system. Essentially, opportunistic computing can be described as distributed computing with the caveats of intermittent connectivity and delay tolerance.
Congratulations Dr. Kumar and Dr. Liu!
Dr. Chris Ding
This is in addition to the $150K ($100K for UTA and $50K for FIU) being awarded to Professor Ding from NSF/CISE on his work on "Matrix Model for Machine Learning".
The final approval is still pending
Dr. Gautam Das
Dr. Athitsos
The amount is $225K for 3 years. It is a collaborative proposal with Prof. George Kollios (PI) at Boston University and the total
amount is $450K for 3 years.
IIS receives over 1000 proposals and thus this achievement is a great distinction.
Congratulations Gautam and Vassilis Athitsos!
Dr. Nan Zhang
Dr. Gautam Das
Abstract:
Structured hidden databases are widely prevalent on the Web. They
provide restricted form-like search interfaces that allow users to
execute search queries by specifying desired attribute values of the
sought-after tuples, and the system responds by returning a few (e.g.,
top-k) tuples that satisfy the selection conditions, sorted by a
suitable ranking function. Although search interfaces for hidden
databases are designed with focused search queries in mind, for certain
applications it may be advantageous to infer more aggregated views of
the data from the returned results of search queries. Such aggregated
information will facilitate learning data distributions or building
mining models, which can then be used to power and optimize a multitude
of emerging data analytical applications.
This research involves developing effective techniques for performing
data analytics, especially sampling, over hidden structured databases
via their public interfaces. The outcomes include efficient algorithms
for sampling hidden databases with a heterogeneous mix of data types,
achievability results for sampling different types of search interfaces,
and a prototypical toolset which demonstrates the sampling of real-world
hidden databases. The research results of this project have broader
impact on the nation’s higher education system and high-tech industries.
The ability to pose high-level analytical queries over hidden databases
is needed by knowledge workers in a wide variety of corporations,
governments, and security agencies. Parts of this project will be
integrated into teaching and carried out by students as part of advanced
class projects, which will potentially attract motivated students to
pursue doctoral degrees.
Dr. Christoph
Csallner
He is an author of several research papers, for which he has received
two ACM SIGSOFT Distinguished Paper Awards, one at ISSTA 2006 (the ACM SIGSOFT International Symposium on Software Testing and Analysis)
and another one at ASE 2007 (the IEEE/ACM International Conference on Automated Software Engineering).
He is a student of Yannis Smaragdakis and has also worked on software engineering issues for Google and Microsoft Research.
bigD*
Dr. Fillia Makedon
Recommendation systems have played a role with increasing importance and prominence in various
online systems, particularly ones related to electronic commerce. These systems are used as a
means of reducing "information overload" for users by filtering a potentially overwhelming
number of options (such as all the products available from a seller) to identify those calculated
to be of greatest interest.
This project extends research on collaborative recommendation systems, which base recommendations
for an individual on the preferences expressed by other people, by investigating the problem of
malicious manipulation of these systems.
Dr. Makedon is the chairperson of the Department of Computer Science and Engineering and the
director of the Heracleia Human-Centered Computing Lab at UTA. She is collaborating with
researchers at the University of California at Davis on this project.
Dr. Chengkai Li
The goal of this research is to build a system that automatically “mashes up” the Web to construct a database containing records and their relationships discovered from Web pages. The system would allow us to use the Web as the world’s largest database, thus bring the power of database queries to the Web and enable many expressive and powerful applications.
Today’s state-of-art technologies cannot meet the goals in this research, thus the project presents a significant research challenge. Dr. Li plans to develop techniques to automatically extract Web data and discover their relationships, and invent new ways of storing and indexing such information, which is very different from the precise and complete information found in conventional database systems. Dr. Li will also investigate the issues in providing querying and exploration facilities over such information.
By realizing the “mash-up” system and applications, this research has the potential to fundamentally change our ways of using the Web and substantially improve our ability of finding and exploring information. It can enormously benefit many application domains including E-commerce, government information systems, public health, travel planning services, and so on.
To apply, a student must be attending a US institution and must be author of a submitted paper
to PETRA and submit the completed application form, attach a letter of support from his/her advisor,
and a resume.
The deadline for this is May 20, 2008. All students awarded of such a travel award will be named
PETRA-SCHOLARS and their names will become part of the conference proceedings.
The twenty-two participating teams came from high schools including Arlington, Sam Houston,
and James Bowie from Arlington ISD, the Science and Engineering Magnet and the Talented
and Gifted Magnet from Dallas ISD, DeSoto High School from DeSoto ISD, Granbury High School
from Granbury ISD, a Texas charter school, and area home schools. Every Lego robot was
programmed by the students to work autonomously in its event. Once started, the robot
was under its own control following the instructions programmed into it. No remote controls
here! Read More.
Dr. Ishfaq Ahmad
Recognition as a Fellow by the IEEE signifies an individual's accomplishments that have contributed
importantly to the advancement or application of engineering, science and technology, bringing the
realization of significant value to society. Awards presented to individuals conducting work outside
the normal areas of electronics are unusual. Read More.
Dr. Gergely Zaruba
Dr. Manfred Huber
Dr. Farhad
Kamangar
Mr. David Levine
Assistant Professor Gergely Zaruba is the principal investigator on the project; he will be assisted
by Drs. Manfred Huber and Farhad Kamangar and Mr. David Levine. Titled "PLR: Mesh-networked, Two-way
Personnel Locator Radios and Relays," the project involves the development of a software and hardware
system needed to accurately track a number of individuals as they move about an established
area.
"As a research exercise, we developed and have a patent pending on a similar solution,"
said Dr. Zaruba. "Our efforts for the National Institutes of Justice will build on the earlier work
to create the tags identifying essential personnel and the software analyzing the many signals within
the network to distinguish specific individuals."
The "essential personnel" he refers to could include team leaders, directors and other senior
officials, police officers and in the second part of the project, first-responders such as emergency
medical technicians and search-and-rescue personnel. "This is an important technology to help save
lives of our nation’s emergency personnel," said Dr. Richard Billo, College of Engineering associate
dean for research. "For example, if an officer or firefighter becomes trapped in a building, others
will know the exact location and will be better prepared to take immediate action."
Although this grant is for a one-year period, Dr. Zaruba expects an additional one-year extension
grant around the same amount to expand the personnel locator network to other NIJ applications.
Dr. Vassilis Athitsos
In current ASL dictionaries, signs are typically organized according to their English
translation, and a user cannot look up a sign without knowing in advance the meaning of
that sign. A key goal of the project is to develop methods that would allow users to
demonstrate signs in front of a camera and have a computer look up the meaning of those signs
based on their visual properties. The BU and UTA researchers also hope to develop a way to
perform "keyword-based" searches for American Sign Language, by identifying occurrences of
specific signs in large video databases of ASL literature.
Read More
Dr. Sajal Das