Research laboratories

Applied Computational Intelligence Laboratory

Students working in the laboratory gain many advantages, including collaboration in a work environment, continued involvement with research, the positive influence of role models and mentors, and, more often than not, an opportunity to publish. (Publishing is required for all graduate students.) The ACIL welcomes small and large business cooperative ventures in intelligent computing.

Computer Vision and Biomedical Imaging Laboratory

We are interested in computing technologies and systems that are theoretically-sound and practically-applicable in civilian, military, healthcare and multimedia applications. To that end, we are particularly interested in visual perception, sensor fusion, machine learning methods that can make these technologies as realities. These research activities lead to algorithms and systems capable of understanding objects and their behaviors in biomedical and natural scene images and other signals.

CReWMaN Laboratory

The mission of the CReWMaN Lab is to conduct innovative research in networking (core, wireless, sensors), mobile and pervasive computing, distributed and grid computing, privacy and security, biological networks, and social networks. This is accomplished by creating a stimulating learning environment through teaching, research, mentoring and service excellence, with focus on teaching cutting-edge courses and establish multi-disciplinary collaborations.

Critical Infrastructure Protection Laboratory

Is to research in advanced methods of security applied within the realm of critical cyber and cyber-physical infrastructures. The focus is on the use of rigorous mathematics through formal methods to create and analyzer fault-tolerant and secure real-time distributed computing systems applied to critical infrastructure protection. The laboratory supports undergraduate, graduate, and faculty researchers. Students in the laboratory participate in the campus Center for Academic Excellence in Information Assurance and Research, the Intelligent Systems Center, and the Energy Research and Development Center.

Data Mining & Graph Data Mining Laboratory

The mission of data mining laboratory is to develop effective and efficient data analysis techniques for emerging data intensive applications. Our research focuses on data mining and big data analytics, with application to urban computing, human mobility modeling, wireless intelligence, recommender systems, consumer analytics, and health care.

Natural Computation Laboratory

Is to develop novel types of computational problem solving methods inspired by nature which are both more powerful and user-friendlier than the current state-of-the-art, and to apply them to real-world problem solving. Since the lab’s founding in 2002, its computational problem solving method of choice has been Evolutionary Computing.

Web and Wireless Computing (W2C) Laboratory & Net-Centric Center

Is to design to carry out cutting edge research in different aspects of data management (security, compression, replication, caching, query processing, aggregation, fusion) in wireless networks and cloud computing environment. Our focus is on scientific research to advance the state of art in these areas. The current projects are supported by NSF, DOE, ARL, AFRL, NIST, UM System, etc. The current researchers in the lab are pursuing their PhD/MS degree in different areas of interest to the W2C lab. The lab is well-equipped with over 50 3.2 Ghz PCs, 5 Dell Server, linux machines, laptops etc. The lab also has sensor network test-beds consists of Crossbow sensor motes like Telosb, Mica2 and Missouri S&T motes.