Department of Computer Science Research

The faculty of the Department of Computer Science engages students to conduct cutting-edge and impactful research in various areas of computer science.

Our faculty has been awarded numerous grants from prominent research agencies, such as the National Science Foundation (NSF), the Office of Naval Research (ONR), the National Institutes of Health (NIH), the Defense Advanced Research Projects Agency (DARPA), the Department of Homeland Security, and others. The Department of Computer Science is home to various centers and laboratories, including a National Center of Academic Excellence in Information Assurance Education and National Center of Academic Excellence in Information Assurance Research (CAE-R) in its Center for the Advancement of Secure Systems and Information Assurance (CASSIA).

Located in Hoboken, New Jersey, the department is on the Hudson River across from midtown Manhattan, just a stone's throw away from New York City and Manhattan. Our location offers excellent opportunities for collaborations with nearby universities such as NYU, Princeton, Columbia, and Rutgers/DIMACS as well as major industrial research laboratories such as Bell Labs, AT&T Labs, IBM Research, and the New York offices of Google, Amazon, and Facebook.

Cybersecurity researchers in the Department of Computer Science are some of the world's foremost experts in information security.

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Research Areas

AI & Machine Learning

The area of AI and Machine Learning at Stevens includes research on causal inference, large-scale and high-dimensional data analysis, knowledge representation and reasoning, time series data, uncertainty, deep learning, and applications to health informatics, social science, and image analysis.

AI & Machine Learning Laboratories

Health and AI Lab (HAIL)

AI & Machine Learning Research Centers

Stevens Institute for Artificial Intelligence (SIAI)

Computer Vision

Current research in computer vision focuses on topics such as multiple-view geometry, structure from motion, 3D reconstruction from images and video, active sensing, 3D shape representation and recognition, video analytics, as well as many other low- and high-level vision problems. These methods are applied on domains that include 3D modeling, crowd-sourced imagery analysis, dynamic 3D reconstruction, robotics, video surveillance, sports analytics, and medical image analysis.

Computer Vision Laboratories

3D Computer Vision Lab

Big Data Analytics

The area of Big data analytics focuses on the development of information infrastructures and data management systems for efficiently and securely managing large volumes of data. Its research topics including actively working on both the traditional data management paradigm as well as new opportunities for crossover and collaboration between Big data analytics and other fields in computer science.

Big Data Analytics Laboratories

Database and Information Management Laboratory

Programming Languages

The area of programming languages at Stevens concerns both foundations and applications, with a focus on secure software development. Topics include language-based security, type systems, formal methods, automatic software verification, concurrency, domain specific languages and programming language design and implementation for computational modeling of biological and biomedical systems.

Programming Languages Laboratories

Cybersecurity, Programming Languages, and Systems Lab

Computer Security and Cryptography

The area of security and privacy at Stevens includes cryptography, biometrics, software hardening, intrusion and detection prevention, malware analysis, data privacy, authentication, self-healing systems, web and application security, program analysis and verification, language-based security, and information accountability.

Computer Security and Cryptography Laboratories

Computer Security and Cryptography Research Centers

Center for the Advancement of Secure Systems and Information Assurance (CASSIA)

Software Systems

The area of software systems at Stevens embraces all software layers, their construction, interactions, and the interactions with the hardware, for programmability, performance, security, and fault-tolerance/reliability. Topics include operating systems, compilers, software engineering and reliability, computer and network security, distributed systems, and web technologies.

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