The algorithms research group features strengths in approximation algorithms, computational geometry, and distributed algorithms.
The CompEpi group's research involves the use of computational tools to model, simulate, visualize and, in general, understand the spread of disease to better inform public and hospital policy decisions with respect to disease surveillance, disease prevention measures, and outbreak containment.
The Computational Logic Center at The University of Iowa seeks to advance the theory and practice of correct software development, by applying techniques from logic, programming languages, and automated theorem proving.
The Distributed Computing Research Group (DCRG) focuses on the theoretical and system challenges of developing the next generation of distributed systems. We are interested in developing distributed systems that can recover from failures and adapt to changes in their environment without human intervention. We address these challenges by employing different design paradigms including self-stabilization, self-healing, and self-configuration. Our theoretical work is complemented by system design, implementation and deployment. We have a keen interest in characterizing the performance of distributed systems in real-world deployments with real users.
The Hank Virtual Environments Lab focuses on using virtual environments to study human perception and action. There are two main foci of this research program. One is understanding how children and adults negotiate traffic-filled intersections in our virtual environment. The other is understanding how people perceive and adapt to virtual environments. The overarching goal of this multidisciplinary project is to advance the fields of behavioral science and computer science through our study of human behavior in real and virtual environments.
We focus on the design, implementation and evaluation of technologies that support creativity, collaboration and information access for a variety of users, including children and older adults.
Internet Research Lab (IRL) at the University of Iowa conducts research to make the Internet fast and secure. IRL's research focuses on measurement and performance evaluation of large scale operational networks (e.g., cellular networks, content delivery networks, online social networks, etc.) across application, transport, and network layers of the Internet protocol stack.
We focus on developing novel machine learning algorithms and efficient optimization algorithms for solving big data problems. We are also interested in their applications in various domains, e.g., computer vision, bioinformatics, medical informatics.
MSL performs cutting-edge research on wireless sensor networks, embedded systems and cyber-physical systems that cross-cut computing, networking and other engineering disciplines.
We focus on all aspects of numerical computing including modeling, simulation, optimization, and Parallel Algorithms. Applications include differential equations, bioinformatics, and large scale data analysis.
The retrocomputing group's current work focuses on the restoration of a classic PDP-8 computer that was delivered to the University of Iowa psychology department in early 1966 and has been idle for over 30 years.
The Text/Web Mining group focuses on issues including topic models, web retrieval and web mining, ranking strategies, ambiguity resolution, knowledge discovery, web phenomenon including social networks, information extraction, and text classification.