蜜桃影像

The power end energy systems group at Marquette conducts advanced research in the areas of electrical machines, power electronics and drives. The research covers broad range of applications including, traction, aerospace , and renewable energy among others. The group is funded by various government agencies and industrial partners.

The Knowledge and Information Discovery (KID) lab focuses on problems at the intersection of machine learning and signal processing. Graduate and undergraduate students work on problems ranging from speech recognition to electricity demand forecasting.

The Marquette Embedded SystemS (MESS) Lab, located in Haggerty Hall, conducts research in the areas of design and design automation for embedded systems, multicore processors, and field programmable gate arrays (FPGAs). The outcomes of this research include hardware implementations, embedded firmware, and software programs as electronic design automation (EDA) tools to support new design methodologies or as optimization algorithms to solve specific optimization problems in these areas. The lab contains modern computers, some of which include 16 core processors and GPU devices (Tesla and Pascal architectures), and development software as well as various electronic equipment such as power sources, oscilloscopes, high accuracy current probes, microscopes, 3D printers, and reflow ovens.

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The MEMS and Advanced Microsystems Laboratory is found in the Department of Electrical and Computer Engineering at 蜜桃影像. The lab conducts advanced microsystem, device fabrication, and materials research to develop state-of-the-art microelectromechanical systems (MEMS), nanoelectromechanical systems (NEMS), and smart system technologies such as: membrane sensors and actuators, phase change materials, micro-electrical contacts and micro-switches, energy harvesting and storage, and micro-grids.

The Clay Lafferty Microsensor Research Laboratory is equipped to support research in the areas of chemical, biological and physical sensors utilizing a variety of technologies and systems. The state-of-the-art facilities utilize a variety of sensor platforms including solid state and acoustic wave sensors, microelectromechanical systems (MEMS) devices, optical waveguide-based sensors and smart sensor systems for both liquid and gas phase monitoring. Optical sensing techniques are employed for complementary chemical identification as well as standalone chemical detection and quantification systems. Highly sensitive magnetic field sensing is also being investigated for various applications including electric battery management systems. The laboratory is involved in designing smart sensor systems relying on advanced sensor signal processing and estimation theory techniques. 

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The Marquette Nanoscale Devices Laboratory (MNDL) focuses on research of micro/nano scale devices.  The goal of MNDL is the design, fabrication, characterization, and application of innovative micro/nanoscale sensors and actuators.  Device fabrication and characterization capabilities and activities include 1) Nano-DSC (design, development and characterization of micromachined differential scanning calorimeter for bio/chemical molecules in applications of temperature reference, rapid DNA detection, drug discovery, and bio/chemical sensors); 2) SiNWs (wafer-scale integration of silicon and silicon germanium nanowires, electrical and thermal analysis; 3) Tip-based nanofabrication (developing micromachined bow tie antenna for local optical field enhancements to controlled nanowire array growth; 4) Molecular electronics (design and fabrication of multi-nanogap electrodes as a platform for single molecule electronics, electrical and thermal measurement of single molecule and analysis); and 5) AFM/SPM probes (multi-functional AFM/SPM probe development and characterization).   

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The System Analytics for Communications and Energy (SACE) lab focuses on creating advanced probabilistic and data-driven models to enable the prediction of performance of critical cyber-physical infrastructures, such as smart grids. For example, one of the goals of the SACE lab is to advance the fundamental understanding of the vulnerability, reliability and security of smart grids while capturing the interdependencies among the underlying communication network (SCADA), the transmission grid, and the human-computer interactions. The SACE Lab has a dedicated space of approximately 1000 sq. ft. in Engineering Hall, 471. It houses HP Z6 G4 [Intel Zeon Silver 4114 CPU @2.2 GHz (40 CPUs)] workstations for performing both AC and DC power-flow simulation and cascading-failures simulations on power grid test systems (e.g., Polish power grid, IEEE 118, IEEE 300, etc.).

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Data-Intensive Computing Distributed Systems Lab (DICDSL) at 蜜桃影像 focuses on designing, developing and implementing databases, machine learning, data science and artificial intelligence algorithms for data integration, big data analytics, human-in-the-loop interactions, and data visualizations.

Learn more about the DICDSL Lab.