Computer Science and Engineering
Our faculty conduct research and development in a variety of fundamental areas, including
agent-based computing, decision making and analysis, database mining and warehousing,
multimedia system design and implementation, parallel computer architecture and security.
This research finds applications in bioinformatics, e-commerce, education, information
systems and computer forensics.
We advance AI applications involving significant big data, investigate novel algorithmic
and theoretically principled machine learning methods, develop computer vision and
image processing techniques, simulate basic human vision functions, and collaborate
on a researchable ideas in the humanities, bioinformatics, science and engineering.
Biology and Medicine
Our faculty are engaged in leading-edge research, bioinformatics and computational
biology, computational medicine, and genome rearrangement and gene order analysis.
We conduct extensive research on computer vision by developing advanced visual models
and optimization algorithms, especially deep neural networks and deep-learning algorithms.
Ongoing research covers image classification, object detection, affective computing,
video analysis, semantic segmentation, and their applications to autonomous driving,
medical imaging, video surveillance, materials science, thermodynamics, remote sensing,
and cultural-heritage preservation.
We increase information systems security awareness and develop high-quality education
and research on a broad spectrum of security topics and issues. These include network
anomaly detection, secure sensor network infrastructures, and security of intermediate
We focus on analysis and implementation of computationally intensive applications
on coprocessors as well as parallel and high-performance computing.
Mobile Systems and Networking
We conduct experimental research and design systems for wireless, mobile and IoT connectivity
and applications. Our research is interdisciplinary, from the areas of signal processing,
probability models, computational imaging, sensor design, embedded systems, and machine
learning. Our projects have applications in mobile interactions, remote health services
and monitoring, and 5G and 6G network design.
We solve complex scientific problems in perception, autonomy, and interaction for
robots that operate in unstructured environments. Projects span theoretical foundational
and fielded applications, including mobile robotics, multi-robot cooperative localization,
mapping, exploration and coverage.