Research in data and information systems advances the design, optimization, and application of data-driven technologies.
We explore the foundations of large-scale data management, efficient information retrieval, and intelligent decision-support systems. Our researchers ensure that critical data can be securely stored, rapidly accessed, and seamlessly transmitted across interconnected platforms by addressing challenges of scalability, performance, and reliability. This work enables breakthroughs in business intelligence, scientific discovery, and global communication.
Focus Areas
Databases
Our database research spans large-scale systems, distributed architectures, and intelligent data integration. Faculty investigate methods for query optimization, information retrieval, and decision-support applications that serve industries ranging from finance to healthcare. This work also intersects with systems and networking, exploring how mobile, cloud, and edge platforms can be leveraged to make data management more scalable, secure, and energy-efficient.
Bioinformatics
Bioinformatics research sits at the intersection of computer science and life sciences. Faculty design algorithms to analyze DNA and protein sequences, predict molecular interactions using machine learning, and computationally model evolutionary processes. This work accelerates biomedical discovery, supports personalized medicine, and drives innovation in drug design and healthcare delivery.
The BS in Applied Computer Science with a concentration in bioinformatics (BNF) prepares students to analyze biological data, model evolutionary processes, and accelerate breakthroughs in personalized medicine and drug discovery.