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Advanced Networking and Cyber-Physical Systems Laboratory
A cyber-physical system features a seamless integration of and coordination between computational, networking, and physical subsystems. Wireless sensor-actuator networks (WSANs) represent a new frontier of communication technology for cyber-physical systems in many important application domains such as process control, smart manufacturing, energy, and enterprise data center management. These networked embedded systems face significant challenges that stem from the stringent requirements on real-time communication between sensors, controller, and actuators. Moreover, the close coupling between control and communication motivates a cyber-physical co-design approach for enhanced performance of a WSAN. Our research focuses on addressing these challenges, and concerns cyber-physical systems with contributions spanning real-time systems, embedded systems, wireless sensor networks, and parallel and distributed computing.
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 Machine Learning 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.
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.
We are working on a wide range of topics in cybersecurity, such as cryptography, privacy preserving data analysis, cloud security, big data privacy, location privacy, mobile device security, social network privacy, access control.
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.
Pervasive and Mobile Computing Laboratory
Is to explore the task of integrating technology into an environment, such that a multitude of computing devices are available to proactively perform services for users, thereby lightening the users’ workload. The emergence of pervasive systems has been characterized as the third wave in computing, after the mainframe era (one computer, many users) and the personal computer era (one computer, one user). Pervasive computing is the next natural step, as a single user is in control of numerous computing elements.
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.