Computer Science Master's and Ph.D. Programs

Computer Science Master's and Ph.D. Programs

Renowned Faculty and Research Opportunities

Graduate students in Computer Science join a world-class faculty that provides both breadth and depth of instruction and research opportunities within security, programming languages, graphics and vision, software engineering, and computer networks. Faculty publish in top journals, receive funding from the most competitive agencies, and collaborate regularly with colleagues throughout the greater New York City area. The university's researchers consult with companies such as Microsoft, IBM, Google, Bell Labs, AT&T Labs, and other top industry labs. The M.S. degree with optional concentrations provides elite training for both professional careers and further study or research within academia. The Stevens Ph.D. prepares students for careers conducting research at the head of the field. Ph.D. students are fully funded.

Research In Focus

Perceptual Organization and 3D Reconstruction

Dr. Philippos Mordohai's research interests in computer vision and unsupervised learning include topics such as perceptual organization, manifold learning, 3D reconstruction and range data analysis. Dr. Mordohai has worked on fundamental perceptual organization problems, such as figure completion and the integrated inference of perceptual structures of different types, such as curves and surfaces, including their boundaries. As an extension of this research, he proposed an approach for manifold learning and function approximation in high-dimensional spaces. He has also extensively investigated 3D reconstruction of binocular, multiple-view and video inputs. Dr. Mordohai is also interested in scene understanding and object recognition from range data acquired by LIDAR sensors. His research is supported by the National Science Foundation, the Department of Homeland Security, and Google, Inc.

Software Security and Formal Methodology

Dr. David Naumann's research focus is on formal methods and software security, including Java Modeling Language, ad hoc network application security, fine-grained confidentiality/integrity policies, automated analysis/transformation of programs to enforce such policies, and methodology for formal specification of system components. He is affiliated with CASSIA, the Center for the Advancement of Secure Systems and Information Assurance, whose mission is to foster collaboration and act as a catalyst for research, education, and entrepreneurship in information assurance and cybersecurity. Dr. Naumann has projects supported through various funding sources, on research topics such JML, access control and downgrading in information flow assurance, and high assurance for security in wireless networking.

Database Management and Security

Also associated with CASSIA, Dr. Wendy Wang researches innovative methods to improve database management, with a focus on database security and data privacy. Her research has addressed various aspects of data security and privacy, including privacy-preserving data publishing, security of outsourced databases, and secure data management in wireless networks. She is also interested in semi-structured databases, data mining, and data management on networks. In her work with CASSIA, she helps pioneer new technologies for useable, secure systems with high assurance.