The Department of Computer Science and Engineering is home to more than a dozen research labs and centers.
The aim of the Assistive Robotics and Technology Lab (ART Lab) is to conduct innovative, cutting edge research on assistive technology to improve the quality of life for older adults, children, and at need populations.
The goal of this research is to enhance wired and wireless networks in terms of their availability and reliability; capacity and throughput; and privacy and security.
Research involves the use of techniques from applied mathematics, informatics, statistics and computer science to solve biological problems. Research in computational biology often overlaps with systems biology.
The general focus of this research is the application and transfer of engineering techniques to biological systems.
CIAE is part of the ongoing effort at USC to increase information systems security awareness and develop high quality education and research in this area. Faculty and students associated with the CIAE are working in a broad spectrum of security topics and issues.
Researchers are investigating multiagent systems, information awareness and security, ontological engineering, and computational intelligence, with applications to enterprise integration, executive decision support, and agent-based software development.
This lab conducts research related to computer vision, image processing and machine learning. Its main goals are to simulate basic human vision functions with computers and to develop novel image processing and machine learning techniques.
Maximum Likelihood for Gene Order Analysis (MLGO) is a web server designed for genome rearrangement and gene order analysis. It can handle large scale data with the size ranges from mitochandrial to nuclear genomes.
Researcher focus on analysis and implementation of computationally intensive applications on coprocessors, to accelerate the applications.
Research focuses on development of machine learning, data mining and evolutionary algorithms for knowledge discovery and innovation in bioinformatics, science and engineering.
Researchers build agent-based simulations of social systems and business processes, multiagent algorithms for distributed coordination and distributed resource allocation, and web applications.
The broad goal of this research is to design algorithms that enable robots and robot teams to operate autonomously, robustly, and inexpensively in unstructured and inhospitable environments.
This lab is dedicated to implementation and development of secure protocols for computer networks and distributed systems.