Domain specialization for remote sensing, detection and estimation theories, morphological processing, speech processing, neural networks, electromagnetic and acoustic effects on signals, and utilization of signal processing with advanced computer architecture.

More Uses of the Image Processing Toolkit:

  • Direct: account for complex imaging phenomena to government and corporate management, and establish a plan for project and to accomplish goals embodied by the plan.
  • Develop highly innovative signal/Image Processing approaches ( as machine learning) for spectral sensing and detection.
  • Drive: algorithm development in areas as pattern or gesture recognition, adaptive filters, machine learning, sensor / Image Processing, or controls.
  • Evaluate: development of robotics vision algorithms, software architecture, and computer vision software for embedded software applications.
  • Ensure you nurture; lead with expertise in supervised machine learning, signal/Image Processing, and/or statistical detection theory.
  • Be certain that your operation provides support to products throughout lifecycle from manufacturing to customer use by recommending engineering solutions to issues.
  • Collaborate with image quality testing engineers to optimize image quality and algorithm performance across a wide range of environmental conditions.
  • Apply rigorous statistical methods and analysis to data collected from a variety of sensors to ensure findings are complete and accurate.
  • Steer: design and implement algorithms for sensor calibration, pose estimation, and localization with multimodal inputs.
  • Ensure you undertake; lead with expertise in signal processing, computer vision, Image Processing, computer science, and/or machine learning.
  • Ensure you quickly dive into new technologies and make contributions in the field of image compression and processing.
  • Analyze complex problems and phenomenology with focus on developing machine learning models to process and understand signal data faster, more accurately and more efficiently.
  • Characterize the performance of remote sensing systems and relate sensor characteristics to the performance of automated and manual detection, classification, and characterization of targets.
  • Develop: development, implementation, debug, evaluation of algorithms for real time 2D/3D Image Processing and object recognition.
  • Ensure you forecast; lead with expertise in signal processing, computer vision, Image Processing, deep learning, and/or machine learning.
  • Manage: design and implement sensor processing algorithms for signal processing, sensor control, feature detection and matching, and motion estimation.
  • Audit: design, using principles imposed by the human visual system, Image Processing techniques that optimize the performance of your display technologies.
  • Provide algorithm technical support during product demo and beta testing, work with domain experts from other functional teams on special customer engagement projects.
  • Systematize: research, develop, and apply solutions to problems in the signal and image science that are of programmatic interest.
  • Perform design/analysis of Image Processing algorithms employing image enhancement, detection and correlation techniques.
  • Manage work with software development engineers to understand the overall technical architecture and how each feature is implemented.
  • Be accountable for developing and advancing scene modeling and simulation tools for training algorithms on future imaging platforms under development.
  • Warrant that your project assess the performance of an imaging system in terms of the interaction of the various system components, and design user experiments for the purpose of understanding system design impacts or identifying optimal parameter settings.
  • Manage work with systems and probe engineers to design the data acquisition image reconstruction and UX/UI architecture.
  • Ensure you get to work on Agile Development Engineering teams, regularly support the transition of research and development concepts to highly complex operational systems, take part in proposal development and peer review across several divisions.
  • Perform analysis on customer data using Image Processing platform to solve image classification and image analysis problems.
  • Ensure you control; lead with expertise in machine/deep learning, optimization, probability theory, statistical inference, information theory, signal processing, and/or Image Processing.
  • Develop and implement algorithms and code for analyzing large image data sets using image analysis algorithms.
  • Pilot: research and development of 2D and 3D image analysis algorithms using Image Processing, computer vision, and machine learning technologies.
  • Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process.

 

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