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A Doctoral Program in Big Data, Machine Learning, and
Analytics for Security and Safety
PURPOSE: The purpose of the GAANN program is to train a total of five Ph.D. students, beginning in the Spring 2019 semester, for careers in Big Data, Machine Learning, Security and Privacy.
RESEARCH: GAANN Fellows will conduct research in the Department of Computer Science or in the Department of Electrical and Computer Engineering under the co-guidance of faculty members from these two departments. Fellows will also have access to the numerous laboratories and resources available in the research labs and centers. Fellow’s research area will be determined based on the individual student and his/her research advisor. Possible research areas include:
- Data Analytics using Machine Learning for Cyber Security
- Surveillance using Smartphone Sensors for Persistent Object Tracking
- Modeling Spatio-Temporal Autocorrelations using Machine Learning for Air Quality Monitoring for People Safety
- Attribute-Based Encryption Scheme for Secure Multi-group Large Scale Big Data Sharing in Cloud
- Machine Learning for Combat Cloud
- Annual stipend of up to $34,000 (for three years) based on the need. TA support will be available after that.
- All fees and tuition paid also.
- Support for books, computers, travel to conferences, and short courses, etc.
- Research supplies and equipment.
SELECTION CRITERIA: Exceptional academic aptitude exemplified by GPA and GRE scores, firm intentions to complete a Ph.D. degree and an intention to pursue an academic career up on graduation. All fellows must be
U.S. citizens or permanent residents. Note: students may enter the GAANN Fellowship Program at any point after finishing their B.S. degree.
- Apply for graduate study at Missouri S&T (http://grad.mst.edu/programs) in either the Department of Computer Science or Department of Electrical and Computer Engineering.
- Submit a copy of the application material to the GAANN Program Director listed below.
- Submit GRE scores (official scores will be needed by date of registration).
- Submit a resume and a brief letter including career objectives and areas of research interest.
- Submit the name, address, telephone number, and email address of three professional references.
Prof. Sanjay Madria
GAANN Program Director
Department of Computer Science
Rolla, MO 65409
Phone: (573) 341-4856
FAX: (573) 341-4501
Due to the short timeline, the review of applicants will begin immediately. However, applications will continue to be reviewed until all GAANN Fellowships are awarded.