Computer Science and Engineering
PhD Defenses
Tue 05/29 11:00
Neelabh Pant - Hyper-Optimized Machine Learning and Deep Learning Methods for Geo-Spatial and Temporal Function Estimation - ERB670
Join us! We are hiring!
The CSE department at UTA values faculty candidates who can contribute to the college’s and the department’s diversity initiatives. We further welcome experience with teaching or mentoring diverse groups of students, including first-generation college students, low-income students, racial and ethnic minorities, veterans, and women.
UTA features:
➢ Strong enrollment growth in CSE: Currently 1,270 Bachelor’s, 634 Master's, 110 Ph.D.
➢ R1 university [Carnegie Classification of Institutions of Higher Education]
➢ 2nd-lowest avg. student debt among U.S. univ. [U.S. News & World Report]
➢ #5 in the U.S. for undergraduate diversity [U.S. News & World Report]
➢ The top four-year college in Texas for veterans [Military Times’ 2017 Best for Vets]
➢ A Hispanic-Serving Institution
➢ #57 in CS: #4 (AI), #10 (OS), #19 (Databases), #20 (HPC), #21 (Bioinformatics), #33 (Security), #46 (ML & data mining) [csrankings.org, avg. 2016--2017 publication count, as of September 2017]
➢ Best paper awards in several recent top-tier CS conferences
➢ Several recent CSE graduates have accepted tenure-track positions
➢ The $125-million Science and Engineering Innovation and Research (SEIR) building is under construction. It will house several CSE research labs.
The Department of Computer Science and Engineering is one of seven departments in the College of Engineering, the third-largest engineering college in Texas. Its mission is to serve the needs of the region, the state, and the nation by providing quality educational and innovative, relevant research programs in computer science and engineering. The department strives to offer first-rate undergraduate, graduate, and continuing education opportunities; conduct research and development technologies in selected areas, and facilitate technology transfer for the betterment of the quality of life. Its internationally recognized faculty members are engaged in breakthrough research across the leading areas of computer science and engineering.
The department was established in 1981, and it is one of the first departments in the nation to have an undergraduate program accredited by both the Engineering Accreditation Commission and the Computing Accreditation Commission of ABET. At this time, we offer undergraduate degrees in Computer Engineering, Computer Science and Software Engineering, Master’s in Computer Engineering, Computer Science and Software Engineering, and PhD degrees in Computer Engineering and Computer Science. Currently we have 36 full-time faculty and over 1500 undergraduate and graduate students. Our undergraduate programs Computer Engineering, Computer Science and Software Engineering are ABET accredited.
The department's graduates work at America's leading companies and governmental agencies and in other sectors. UT Arlington'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 Lockheed Martin, Nokia, L-3, BNSF, Fidelity, Sabre Holdings, American Airlines, and many others, provides students with outstanding opportunities for internships and jobs.
The department has a number of teaching and research laboratories, centers and other facilities that support its educational and teaching mission. These include the Biocomputing and Vision Laboratory (BioVIL), Computational Science Lab (CSL), Database Exploration Laboratory (DBXLAB), Distributed and Parallel Computing Lab, Embedded Systems and Instrumentation Lab, Health and Assistive Technology Laboratory (ASSIST), Heracleia Human-Centered Computing Laboratory, Information Security Lab (iSec), Information Technology Lab, Innovative Database and Information Systems Research Lab (IDIR), Learning and Adaptive Robotics Laboratory (LEARN), Multimedia Lab, Software Engineering Lab (SERC), Wireless Networks and Systems Lab (WINS), and the Vision-Learning-Mining Lab (VLM).
