Key Research Areas

4 students looking at a computer screen
 

Key Research Areas

The Golisano College of Computing and Information Sciences pursues a broad and robust agenda of research and scholarly activities that advance the fields of computing and information sciences while enhancing student education. Faculty and students at the Golisano College participate in a vast array of computing research fields, varying from cybersecurity to human-computer interaction and health IT. Our state-of-the-art facilities, world-class faculty, and industry partnerships have made the Golisano College a hub of innovation in recent years.

Check out recent research highlights in our latest RIT Computing Quarterly newsletter. 

 

Investigating the design of computing technologies to ensure that they are accessible for individuals with diverse abilities,  and how we can leverage computing technologies to promote inclusion.

Faculty

Conducting research on fundamental and applied topics in artificial intelligence and machine learning, e.g. to address challenges in computer vision, pattern recognition, natural languages, social network analysis, and other fields.

Faculty

Developing methods and software tools to understand biological data for scientific and clinical advancement. 

Faculty

Engaging in computing curriculum research and design, exploring new pedagogical techniques, and developing new approaches for conveying computing-related concepts to students from all disciplines, backgrounds and ages.

Faculty

Conduct research on fundamental and applied topics related to all aspects of data science, including statistical analytics, data management systems, high performance and distributed computing, artificial intelligence/machine learning and visualization.

Faculty

Designing, developing, and utilizing distributed systems to solve computational problems.

Faculty

Conducting research and development in game design, production, engines & systems, graphics programming & animation, mobile, web, audio, and more.

Faculty

Conducting basic and applied research related to geographic information science, geographic visualization and analytics, and environmental awareness.

Faculty

Conducting research on computer graphics, and techniques for visualizing data of various nature and dimensions. 

Faculty

Addressing fundamental challenges from medical image understanding, data and sensor integration, clinical decision making, to the design and use of electronic medical records.

Faculty

Conducting research in user experience (UX), interaction design (IxD), human factors (HF), information architecture (IA), and usability. 

Faculty

Exploring and advancing technologies—the Internet, social software, hand-held and wearable devices, touch and gestural interfaces, the Internet of Things, virtual reality, and more—to create useful, delightful, and engaging experiences.

Faculty

Advancing IoT and its enabling technologies such as real-time analytics, machine learning, security and privacy, sensors, and embedded systems.

Faculty

Addressing research topics  including the design of mobile devices and wireless networks to the delivery of information via these devices, opportunistic networks, sensor and distributed systems, and more. 

Faculty

Investigating organizational and technological issues involved in mobile and sensor networking, enterprise scale networking, wireless and wired networks, mobile ad hoc networking, mobile device computing, green computing, virtualization, and cloud computing.

Faculty

Study the design and implementation of programming languages, including compiler technology, parallelism and concurrency, type systems, and program semantics. 

Faculty

Engaging in research of cybersecurity, including network security (from wireless networks to SCADA), security coding, cryptography, intrusion detection, forensics, security for mobile devices, and security audits.

Faculty

Conducting research to advance the methods, languages, tools, and environments that enables productive, on-budget development of new complex software-intensive system, and to help practitioners improve the quality of the software systems.

Faculty

Understanding the nature of computation: what is computable (computability theory, complexity theory); how to best compute (algorithms); how to understand computations (static analyses); and computations with strong mathematical connections (cryptography). 

Faculty
Person pointing at a computer screen

Computing and Information Sciences Ph.D.

A research degree designed to produce independent scholars, cutting-edge researchers, and well-prepared educators, you'll benefit from world-class faculty, diverse academic offerings, and modern facilities as you identify and research challenges within and beyond computing.

Learn More about the Computing and Information Sciences Ph.D.