{"id":106696,"date":"2025-02-19T16:06:54","date_gmt":"2025-02-19T22:06:54","guid":{"rendered":"https:\/\/engineering.wisc.edu\/?post_type=tribe_events&p=106696"},"modified":"2025-03-03T15:29:37","modified_gmt":"2025-03-03T21:29:37","slug":"neep-seminar-ashish-avachat-university-of-pittsburgh","status":"publish","type":"tribe_events","link":"https:\/\/engineering.wisc.edu\/event\/neep-seminar-ashish-avachat-university-of-pittsburgh\/","title":{"rendered":"NEEP Seminar: Ashish Avachat, University of Pittsburgh"},"content":{"rendered":"
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Tuesday, March 11
12:00-1:00pm
ERB 106
Remote Participation:<\/strong> Please contact office@ep.wisc.edu<\/a> for the Zoom link.<\/p>\n\n\n\n

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Title:<\/strong> Radiation-based Computational Imaging and Ontology<\/p>\n\n\n\n

Abstract:<\/strong> In recent years, the modern smart phone cameras have leapfrogged the traditional cameras by employing the principles of computational imaging. Similar to the distinctions between such computational photography and the traditional photography, the radiation-based computational imaging and its traditional counterpart have two major distinctions. One, radiation-based computational imaging systems utilize a tight integration of instrumentation, for example, radiation source and image acquisition system, with the computer algorithms that are used for image formation, reconstruction, and analyses. And, two, radiation-based computational imaging systems use joint-optimization of the said instrumentation and algorithms to improve the image quality. By using this twofold philosophy of computational imaging comprising tight integration and joint-optimization–wherein we apply computational methods to the noisy, incomplete, and perhaps distorted raw measurements that are acquired at a minimum costs of time and radiation–we can reconstruct a “true image” with the best possible image quality for a given imaging task, for example, nuclear fuel characterization for fuel qualification. Given the surge of interest in nuclear energy and development of new generation of nuclear reactors, at the core of which are the nuclear test fuels and materials, I believe that the nuclear fuel and materials characterization is the cornerstone of a resilient and sustainable energy future. Because of the complexity of the nuclear fuels, especially during and after irradiation, they are considered to be one of the most challenging objects for imaging and analysis. Overcoming these challenges will not only deepen our understanding of nuclear fuels but also stimulate the development of imaging and analysis techniques that are applicable to a broader spectrum of objects across various engineering and scientific disciplines. And, the lessons learned from the development and optimization of these imaging and analysis techniques for non-nuclear applications will directly benefit nuclear fuel and materials characterization. Therefore, research on nuclear fuel characterization and on development of radiation-based imaging systems exist in a mutualistic symbiosis. In this seminar, I will present my contributions to the fields of radiation-based computational imaging and nuclear fuel characterization. With these past contributions as a backdrop, I will then discuss my future research thrusts, which are directed at capitalizing the mutualist symbiosis between nuclear fuel and materials characterization and development of innovative imaging and analysis techniques to contribute significantly to nuclear engineering and engineering physics and beyond.<\/p>\n\n\n\n

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Speaker:<\/strong> Ashish Avachat, University of Pittsburgh<\/p>\n\n\n\n

Bio:<\/strong> Ashish Avachat<\/a> is a research assistant professor in the Department of Mechanical Engineering and Materials Science at the University of Pittsburgh. His research is dedicated to developing radiation-based computational imaging systems and noise-robust ontology techniques for better characterizing objects\u2014in their natural states\u2014from nuclear engineering and other engineering and science disciplines. Prior to joining the University of Pittsburgh, Ashish was a postdoctoral research fellow at the University of Illinois Urbana-Champaign. Ashish received his M.S. and Ph.D. in Nuclear Engineering from the Missouri University of Science and Technology.<\/p>\n\n\n\n

This seminar is presented by the Institute for Nuclear Energy Systems<\/a> and the Nuclear Engineering & Engineering Physics Department<\/a>.<\/p>\n\n\n

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