Research Laboratories
Entergy Electric Power Research Laboratory
Faculty in Charge: Dr. Parviz Rastgoufard
Room EN 612 is used for power systems and motor control research. This equipment allows faculty and 正妹AV to perform simulations and hardware testing of such systems.
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Fiber Optics Laboratory
Faculty in Charge: Mr. Kim Jovanovich
A fiber optic research laboratory is established in rooms EN 610 of the Dr. Robert A. Savoie Engineering Building. The laboratory is routinely used for investigational and applied research in the areas of fiber optic telecommunications, sensor development, and most recently, remote source lighting and illumination.
The room contains an assortment of optical supplies and equipment, including fiber termination equipment, microscopes, optical power meters, oscilloscopes, multimeters, a Sumitomo fusion splicer used to create optical sensors and splice fibers together, and an optical time domain reflectometer (OTDR) for determining the condition and operational status of an optical fiber. Most unique to the lab is the presence of a Tenney Environmental Chamber for sensor testing and a calibrated smoke chamber to Underwriters Lab 268 specifications used to measure the performance of fiber optic sensors that detect smoke and vapor presence.
Information and Systems Laboratory
Faculty in Charge: Dr. X. Rong Li
The ISL is for basic, applied, and advanced research with a focus in the areas of information and/or systems, such as processing of information, data, signal, and image in various systems. The systems involved include, but are not limited to, control, communication, computer, and power systems and networks. Typical examples of applications include target tracking, data fusion, signal detection, machine learning, and pattern recognition.
High Performance Computing Laboratory (Room EN608)
Faculty in Charge: Dr. Abdul Alsamman
Room EN 608 includes 9 high-performance computers with high-performance GPUs, and multicore processors. The laboratory is used for computing-related research such as deep learning.