Online Profiles

Wright State University - 2016

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Graduate

Research Description

Research Description By Graduate Engineering Department

Biomedical, Industrial & Human Factors Engineering

Research focus areas of the Biomedical Engineering program includes medical imaging, both ionizing and non-ionizing methods, biomedical signal processing, orthopedic biomechanics and implants, rehabilitation engineering, muscle biomechanics, prosthetic and orthotic (assistive device) engineering, neuroengineering, tissue engineering, and specialized computed tomography scanners for bone assessment.

Research focus areas of the Industrial and Human Factors program emphasize design of devices and systems for safe, effective, and efficient human use. This includes virtual reality systems, human computer interaction, product usability, cognitive modeling, humans in complex systems, collaborative engineering design, simulation-based optimization, health care, and aviation.

College of Engineering and Computer Science

Research focus areas include assistive technology-based learning with disability, computational science and engineering, nano-scaled multifunctional materials, hydrogen and fuel cell technology, clean energy technology, supply chain and logistics, and UAV/UGV sensor systems and sensor signal exploitation.

Computer Science and Engineering

Research focus areas include: Software systems, data and text mining, machine learning and knowledge discovery, data warehousing, multimedia databases, Semantic Web and Web3.0, service-oriented computing and services science, internet and information security, virtual reality, natural language and speech processing, artificial intelligence, pattern recognition, neural networks, evolutionary computation, evolvable hardware, robotics, parallel and distributed computing, VLSI, networking, distributed sensing, sensor networking and sensor data management, wireless communications, image processing, computer vision, medical image processing, bioinformatics and computational biology, biomedical and health informatics, assistive technology, scientific visualization, and scientific workflows.

Electrical Engineering

Research focus areas include: Mixed-signal VLSI design techniques, RF ASIC design, FPGA and reconfigurable systems, VLSI custom CAD tools, Build-in fault tolerance, RF power electronics, Power-efficient electronics, System-on-chip integration, Electroptics, Tera-Hertz, Radar, Ultrasound, Audio, and Hyperspectral sensors and sensor signal exploitation, Automatic target recognition, Semi-conductor technologies, Micro-fabrication, MEMS, Nano materials and devices, MAV, UAV and UGV navigation and control, Intelligent control, Complex system monitoring, Power processing and monitoring, Wireless communications and cognitive radio technologies, Network communications, Image processing and visualization, and Alternative energy devices.

Mechanical and Materials Engineering

Research focus areas include power and energy conversion, electrochemical energy storage, plasma, computational and experimental fluid dynamics, design optimization addressing large structures, die shapes, flight trajectories, finite element methods, multi-scale biological fluid dynamics, mechanical vibrations, thermal management, structural dynamics including vehicle suspensions and turbine blades, fracture mechanics and fatigue crack growth, heat transfer, high temperature materials, carbon-carbon composites, ceramics and ceramic composites, superconducting materials, intermetallics, aluminum, nickel-based and titanium alloys, molecular modeling, polymeric composites, micro-Raman spectroscopy, and nanotechnology.

Research Description By Engineering Research Center

Center for Assistive Technology

Research methodologies include computer based understanding of human behavior, interaction and learning (especially for individuals with disabilities) for the efficient coordination, integration, and intrepretation of multiple modalities, such as speech, image, text, video, gestures, facial expressions, signs, handwriting, etc. Research projects include devices, technologies for blind-visually impaired, deaf-hearing impaired, retina processor for blind, robotic nurses, communication-access modules, paraplegic (ex-skeleton, walking wheelchair), brain based devices, prosthetics, 24/7 health monitoring devices, surveillance systems for smart homes, methodologies for protecting people privacy,etc.

Kno.e.sis Research Center

Kno.e.sis's research is transdisciplinary, multidisciplinary, and team-oriented, with a strong practical and systems orientation, and involves partners from industry, the sciences, and government. Key application areas are semantic e-science (including bioinformatics, biomedicine, health care), Web-based information management (including search and business intelligence), and national and homeland security (including intelligence analysis). Research areas include: Ontology management and multi-ontology environments; integration and analysis of heterogeneous data; advanced and intelligent search, browsing, querying, mining, analysis and knowledge discovery; semantic annotation of documents, scientific data and services involving entity and relationship extraction/disambiguation; semantic enhancement of Web2.0; semantic Web services and processes including semantics-based publication, discovery, composition and dynamic binding of services; data mining; metadata and languages research