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<p style="margin-bottom:0in"><b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black"><img width="951" height="149" style="width:9.9062in;height:1.552in" id="Picture_x0020_2" src="cid:image003.jpg@01DB7635.CE347450"></span></b><b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black"><o:p></o:p></span></b></p>
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 Zhou</span><o:p></o:p></b></p>
<p style="mso-margin-top-alt:5.75pt;margin-right:0in;margin-bottom:0in;margin-left:0in">
<span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">The David H. Gustafson Chair and Vilas Distinguished Achievement Professor</span><o:p></o:p></p>
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<span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">Department of Industrial and Systems Engineering</span><o:p></o:p></p>
<p style="mso-margin-top-alt:5.75pt;margin-right:0in;margin-bottom:0in;margin-left:0in">
<span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">The University of Wisconsin-Madison</span><o:p></o:p></p>
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<b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black"><br>
Date</span></b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">: Friday, Feb. 7, 2025</span><o:p></o:p></p>
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<b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">Time</span></b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">: 1 to 1:50 p.m.</span><o:p></o:p></p>
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<b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black">Location:</span></b><span style="font-size:15.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black"> D2 Lect2</span><o:p></o:p></p>
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<o:p>&nbsp;</o:p></p>
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<b><i><span style="font-size:20.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black"><br>
Predictive Analytics for Internet of Things Enabled Smart Systems</span></i></b><o:p></o:p></p>
<p style="mso-margin-top-alt:5.75pt;margin-right:0in;margin-bottom:0in;margin-left:0in">
<b><span style="font-size:13.5pt;font-family:&quot;Times New Roman&quot;,serif;color:black"><br>
Abstract</span></b><span style="font-size:13.5pt;font-family:&quot;Times New Roman&quot;,serif;color:black">: The Internet of Things (IoT) technology enables the collection and sharing of relevant data across a wide range of devices. This capability, combined with real-time
 decision-making, creates unprecedented opportunities for system modeling, monitoring, prognosis, and decision-making. In this talk, new data analytics techniques tailored for industrial IoT systems will be introduced, including modeling and prognosis of condition
 monitoring signals using multivariate Gaussian convolution processes and a hidden Markov model with deep emission network. The advantageous features of the developed methods are demonstrated through numerical studies and real-world case studies. Thoughts on
 potential research and education opportunities exploiting the ever-growing data-rich engineering environment will be shared as well.
</span><o:p></o:p></p>
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<o:p>&nbsp;</o:p></p>
<p style="mso-margin-top-alt:5.75pt;margin-right:0in;margin-bottom:10.1pt;margin-left:0in">
<a name="Bookmark"></a><b><span style="font-size:13.5pt;font-family:&quot;Times New Roman&quot;,serif;color:black">Biography</span></b><span style="font-size:13.5pt;font-family:&quot;Times New Roman&quot;,serif;color:black">: Shiyu Zhou is the David H. Gustafson Chair and Vilas
 Distinguished Achievement Professor of the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. His research focuses on data-driven modeling, monitoring, diagnosis, and prognosis for engineering systems with particular emphasis
 on manufacturing and after-sales service systems. He has established methods for modeling, analysis, and control of Internet-of-Things (IoT) enabled smart and connected systems, variation modeling, analysis, and reduction for complex manufacturing processes,
 and process control methodologies for emerging nano-manufacturing processes. He is a recipient of CAREER Award from the National Science Foundation and multiple Best Paper Awards. He is a fellow of IISE, ASME, and SME.</span><span style="font-size:13.5pt"><o:p></o:p></span></p>
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