Big Data Analytics
The applications for Big Data Analytics seemingly are endless, and the capability to rapidly process massive chunks of data and make sense of the results will continue to be paramount. MU College of Engineering researchers are at the forefront of Big Data-related research, using cloud computing resources to produce results in a wide array of areas, including healthcare, disaster safety and relief, life sciences, pattern recognition, deep learning and more.
Cybersecurity has become an interdisciplinary area of research for solving the challenges in defending against the increasing number of sophisticated cyber attacks. Cyber attacks everyday disrupt applications with very large user bases in media, manufacturing, healthcare and energy. MU College of Engineering researchers are at the forefront of Cybersecurity related research and education, using novel cloud-based architecture and high assurance principles, tools and techniques.
The College is home to the Center for Geospatial Intelligence. Led by Curt Davis in Electrical Engineering and Computer Science (EECS), 21 affiliated faculty from multiple disciplines have worked on equally diverse projects including satellite, airborne, and ground-based remote sensing; advanced geospatial data processing and production; and automated feature extraction, among others.
The Data Science program’s collaboration with the College of Engineering’s Center for Geospatial Intelligence led to an ongoing $12 million contract to train data scientists for the National Geospatial-Intelligence Agency (NGA). The Center for Geospatial Intelligence has more than a decade-long history of working with the NGA.
Deep learning, bioinformatics, image processing and computer vision: The College of Engineering is shaping the future of how cutting-edge machine learning and data mining technologies are developed and applied to solve real-world problems in computer vision, image processing, natural language processing, social science, material science, biology, and medicine. MU researchers have won multiple federal awards and earned high-profile grants for biomedical data analysis and object detection technology as well as novel methods of using computer vision to detect and classify cancer, aid first responders in disaster situations and more.
Revolutionary technologies of internet, mobile computing, cloud computing, human-computer interaction, and data analytics are being developed in the College of Engineering to connect various devices in our offices, homes, buildings, and cities, such as computers, smart phones, smart watches, medical devices, electronic appliances, cars, security systems, and traffic lights, together to improve the convenience and quality of our daily life. These technologies are being used to build smart homes, improve healthcare, and develop smart cities. The faculty and students in the College of Engineering are also creating cutting-edge Virtual Reality (VR) and Augmented Reality (AR) technologies to allow humans to interact with objects in a simulated, imaginary 3D environment that is normally out of reach. The technologies are applied to improve human experience in education, training, healthcare, retail, and tourism.