IQUIST Master Calendar
40 matches found
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Speaker: Noah Kurinsky, Staff Scientist, SLAC National Accelerator Laboratory
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Speaker: Zach Riedel, Shoemaker Group, Department of Materials Science and Engineering, UIUC
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Speaker: Kanu Sinha, Assistant Professor, School of Electrical, Energy and Computer Engineering, Arizona State University
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Speaker: Zhubing "Gloria" Jia, Covey Group, Department of Physics, UIUC
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Photons are precious in single-molecule fluorescence microscopy. As such, over the past couple of decades, the single-molecule community has embraced concepts from classical estimation and detection theory to optimize information recovered from each detected photon.
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Speaker: Alireza Marandi, Assistant Professor, Electrical Engineering & Applied Physics, California Institute of Technology
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Speaker: Shengyan Liu, Fang Group, Department of Electrical and Computer Engineering, UIUC
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Speaker: Shyam Shankar, Assistant Professor, Department of Electrical and Computer Engineering, The University of Texas at Austin
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With the continuous evolution of technology, we now have opportunities to acquire data across multiple spatiotemporal scales. The wealth of data has transformed modern scientific thinking and discoveries. Driven by data’s ever-increasing size and complexity, machine learning and statistical analysis have become indispensable tools in modern scientific research.
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Speaker: André Schleife, Blue Waters Associate Professor, Department of Materials Science and Engineering, University of Illinois Urbana-Champaign
