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 Computer Science 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, database management, big data, operating systems, networks, cybersecurity, high performance computing, cloud and distributed computing, scientific computation and visualization, computer graphics and vision, programming languages and compilers, and robotics.

Administration

Admission

Applications and supporting materials for all graduate study must be submitted through the online application site for the LSU Graduate School. Official transcripts, official test scores, and other materials that come from third-party sources must be mailed to: LSU Office of Graduate Admissions, 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 division. Applicants must adhere to the application deadlines established by the Graduate School. Note that the Computer Science and Engineering Division’s priority deadlines are earlier: for fall admission, the application deadline is January 15, and for spring admission, the application deadline is October 1.

Students seeking admission must submit satisfactory credentials from previous study, two letters of recommendation, and a 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 or graduate assistantships. 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 division. No additional application form is required for consideration for financial aid. The division’s financial aid application deadlines are thus the same as the admission deadlines.

Graduate Faculty

Gerald Baumgartner (M) • Programming languages, compiler optimization, software engineering tools, embedded systems
Jianhua Chen (M) • Artificial intelligence, machine learning, data mining, knowledge representation
Hartmut Kaiser (M) • High performance computing, parallel-X execution model, programming methods
Bijaya B. Karki (M) • Scientific computing, visualization, materials simulations
Kisung Lee (M) • Big data management and analytics, distributed computing systems, smart cities, bioinformatics
Anas Mahmoud (M) • Software engineering, requirement engineering, code analysis, mobile apps
Golden Richard III (M) • Reverse engineering, malware analysis, cybersecurity, information assurance, digital forensics
Rahul Shah (M) • Algorithms, data structures, data science
Mingxuan Sun (M) • Machine learning, data analytics, informational retrieval, applications
Evangelos Triantaphyllou (M) • Data mining and knowledge discovery, multicriteria decision making, discrete optimization, operational research
Qingyang Wang (M) • Distributed systems and cloud computing, large-scale web applications
Andrew Webb (6A) • Human-computer interaction, creativity, interactive media, and information visualization
Jian Zhang (M) • Machine learning, deep learning, applications
Ibrahim Baggili (M) Cyber Forensics | Cybersecurity | Cyber Psychology | XR Deception
Aisha Ali-Gombe(7M) Digital Forensics | Memory Forensics | Systems Security | User Privacy
Reza Ghaiumy Anaraky (6A) Privacy Decision-Making | Aging | Technology Use and Well‑Being
Elias Bou-Harb(7M) Operational Cyber Security | Cyber Forensics | Critical Infrastructure Security | Empirical Data Analytics | Digital Investigation | Network Security Network Management
Tasnuva Farheen(6A) Microelectronics Security & Reliability Assurance | Enabled Security Assessment | Quantum Computing
Umar Farooq(6A) Software Engineering | Compilers | Mobile Systems.
Felipe Fronchetti(6A) Human-Computer Interactionkeep
James Ghawaly(6A) Cybersecurity | AI Security | Machine Learning | Neural Network Architecture |  Neuromorphic Computing | Nuclear Nonproliferation Detection
Mahmood Jasim(6A) Information Visualization | Digital Civics | Applied Machine Learning | Natural Language Processing | Social Computing
David Shepherd(7M) Robotics | Human Computer Interaction | Computer Science Education
Phani Vadrevu(6A) Cybercrime | Web Security & Privacy | Security & Privacy Measurements | User-Oriented Security Research | Network Security
Xugui Zhou(6A) Cyber-Physical Systems | Autonomous Driving | Smart Healthcare | Control | Formal Methods
Keith George Mills (6A) Machine Learning | Generative Models | Data Mining | Knowledge Extraction and Representation | Computer Vision
Sayak Saha Roy (6A) Phishing and Social Engineering Attacks | Adversarial Robustness in Machine Learning | Abuse Detection on Social Media | Explainable AI for Security
Dong Lao (6A) Multi-Modal Perception | Representation Learning
Joseph Khoury(6A) Cyber Threat Intelligence | Network Security | Internet Measurement | Machine Learning/Artificial Intelligence for Cybersecurity

Programs

• Cloud Computing and Machine Learning Graduate Certificate

• Computer Science, M.S.

• Computer Science, Ph.D.