Computer Science & Engineering (Graduate Program)

For information regarding the UNDERGRADUATE PROGRAM, click here. 

Program Overview

The Division of Computer Science and Engineering in the School of Electrical Engineering and Computer Science offers the research oriented Master of Science in System Sciences and the Doctor of Philosophy in Computer Science. It provides training to prepare talented students for research careers in universities or industrial laboratories, as well as work as computing practitioners in industry. There is a strong and continuing demand for computer scientists to work at the frontiers of knowledge in both theoretical and applied specialties. The curriculum provides for graduate study in several areas of computer science, including algorithms and theory, computer architecture, artificial intelligence, software engineering, knowledge discovery and data mining, digital media, database management, operating systems, networking, wireless sensor networks, high performance computing, distributed computing, robotics, scientific computation, visualization, and programming languages and compilers.

Administration

Admission

Applications and supporting materials for all graduate study must be submitted through the online application site for the LSU Graduate School: www.lsu.edu/gradapply. Official transcripts, official test scores, and other materials that come from third-party sources must be mailed to: Graduate Student Services, 114 West David Boyd Hall, Baton Rouge, LA 70803. These paper documents are stored electronically and departments have access to all materials submitted by and/or on behalf of a student applying to graduate study.

Applications for admission are received and evaluated by the department. Applicants must adhere to the application deadlines established by the Graduate School. Note that the Computer Science and Engineering Division’s application deadlines are earlier: for fall admission, the application deadline is February 1, and for spring admission, the application deadline is October 15.

Students seeking admission must submit satisfactory credentials from previous study, acceptable GRE scores, and three letters of recommendation, statement of purpose. International students whose native language is not English must also submit an acceptable TOEFL, IELTS, or PTE score.

Financial Assistance

Financial assistance is available to some students. Support may be available through the student’s home department or other units in the form of research or teaching assistantships. A student should contact his or her home department for more information on available assistantship positions. To ensure consideration for financial aid, all application materials should be submitted in accordance with deadlines established by the LSU Graduate School. Students who have been admitted to the Computer Science and Engineering Division will automatically be considered for financial assistance by the department. No additional application form is required for consideration for financial aid. The Computer Science Department’s financial aid application deadlines are thus the same as the department’s admission deadlines.

Graduate Faculty

(check current listings by department by clicking this link)

Gabrielle Allen (M) • High performance, grid, and scientific computing
Gerald Baumgartner (M) • Programming languages, compiler optimization, and software engineering tools
Steven R. Brandt (3F) • High performance computing, scientific computing
Konstantin Busch (M) • Distributed algorithms and data structures, communication algorithms, algorithmic game theory
Doris L. Carver (M) • Formal requirements and specification techniques, software development environments, reverse engineering, software reusability
Feng Chen (6A) Operating systems, storage systems (Flash SSDs, Persistent Memory, Cloud Storage), data management in cloud and large-scale distributed storage systems
Jianhua Chen (M) • Artificial intelligence, machine learning, data mining, knowledge representation
Peter Chen (EM)
S. Sitharama Iyengar (EM)
Hartmut Kaiser (3F) • C++, high performance computing, compiler technologies, spatial information systems
Rajgopal Kannan (M) • Sensor networks and communication, game theory, cognitive radio
Bijaya B. Karki (M) • Scientific computing and visualization
Robert L. Kooima (6A) • Real-time 3D computer graphics, interactive display technology, digital imaging and image processing
Donald H. Kraft (EM)
Sukhumay Kundu (M) • Software design and modeling, data mining, networking, graph theory
Supratik Mukhopadhyay (6A) • Software engineering for distributed systems, logic and automated reasoning
Seung-Jong Park (M) • Wireless sensor networks, wireless ad hoc networks, high speed network, network convergence
Rahul Shah (M) • Algorithms, data structures, database systems
Evangelos Triantaphyllou (M) • Data mining and knowledge discovery from databases, multicriteria decision making, discrete optimization, interfaces of operations research and computer science
John M. Tyler (EM)
Brygg Ullmer (M) • Tangible visualization, human computer interface, bioinformatics
Clint Whaley (M) High performance computing, empirical optimization, parallel computing, backend compiler optimization, scientific computing and computer architecture
Jian Zhang (6A) • Machine learning, data mining, algorithms design and their applications to network security

Programs

• Computer Science, Ph.D.

• Systems Science, M.S.S.S.