Computer Science Department
Privacy Issues in Smart Grid Data Sharing
Prediction is a critical aspect of any company. For an energy cooperative, predicting future energy demands, energy generation, and problems in energy transmission or production is important. Predicting the future requires data. The goal of this project is to enable this wide data collection and transmission back to the server so that predictions can be made. The accuracy of the predictions depends largely on the quality and amount of data. Most of the data collection are performed through sensors gathering information such as ambient information, power quality, and harmonics. Sensor data collection: Effective sensor data collection is a challenge because of the different types of sensors, different data formats and different sensor locations. Other challenges are the extensibility and modularity of the sensor hardware because the type of data collected can and will likely change in the future. Replacing the whole sensor infrastructure every few years is not desirable. The solution proposed is to design and deploy a new sensor infrastructure that will integrate all the sensors and aggregate all the data collection.
Dr. Crick Awarded NSF National Robotics Grant
Dr. Christopher Crick, in partnership with colleagues in the College of Engineering and the Department of Psychology, has been awarded a $900,000 grant under the auspices of the National Science Foundation's National Robotics Initiative. This project will investigate learning from demonstration and skills transfer between humans and robots, with a primary focus on applications in the construction and farming equipment industry.
Dr. Mayfield & Thomas McQuary create a 3D window into the computer
With eyewear, XBox camera, 3D LCD monitor the experience is like looking out a window
The Computer Science Department has a three-pronged mission: