Stein Faculty of Computer and Information Science
(Student Portal)
Computer And Info

Research Domains

​​​​​Research areas in the Stein Faculty of Computer and Information Science

Research Domains

AI
Artificial Intelligence
We develop systems that learn, reason, and adapt — pushing the boundaries of what machines can do. From intelligent algorithms to agents and language technologies, our work transforms industries, empowers people, and shapes the future of human–machine collaboration.
Infor Sci
Information Science
We explore how knowledge flows in a digital world. By designing innovative methods to process, manage, and share information, we ensure that insights can be turned into meaningful action — advancing science, technology, and society at large.
Data Sci
Computational Theory
We uncover the mathematical principles that define the very limits of computation. By analyzing algorithms and complexity, we lay the foundations for future technologies — inspiring breakthroughs in efficiency, problem solving, and the understanding of intelligence itself.
Cyber
Cyber Security
We protect the digital fabric of modern life. Our research secures systems and data against ever-evolving threats, while also addressing the safety and security of AI. In doing so, we build trust in the technologies that power our societies and safeguard the integrity of our digital future.
Bio
Computational Biology
We harness the power of computation to decode life itself. From genomics to drug discovery, we create tools that reveal hidden patterns in biology, accelerating medical progress and deepening our understanding of the natural world.
DB
Database Technologies
We design the systems that hold and organize the world’s knowledge. By building smarter, faster, and more resilient data platforms, we enable science, business, and society to make informed decisions in an age defined by information.