Merge pull request #26 from mcoduoza/master

Michael update

_pages/previous-students.md

@@ -16,7 +16,6 @@ hide_hero: true
 ## Undergraduate and Coterm Students
 - Akhilesh Varadan Balasingam (REU 2022)
 - Xiaoyang Ma (UGVR 2021)
-- Michael Oduoza (Academic year research in 2020 and 2021, Graduated in 2022)
 - Charles Tsao (REU 2019, REU 2020, Graduated in 2022)
 - John Kustin (REU 2020, Graduated in 2022)
 - Denisse Ventura (SURF 2020)

index.md

@@ -79,6 +79,15 @@ Stanford accelerate group works on creating high performance and energy-efficien
         <b>Research:</b> I am generally interested in designing hardware accelerators. Most of my previous works were related to computational photography algorithms such as digital refocusing. Currently, I am focusing on analyzing and designing architecture of CGRAs to create high-performance, energy-efficient, and reconfigurable computing platforms. 
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+      <td style="width:18%"><img src="assets/images/michael.jpg" width="250" align="left"></td>
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+        <b>Michael Oduoza</b><br> 
+        <b>Email:</b> mcoduoza AT stanford DOT edu, <a href="https://linkedin.com/in/michael-oduoza/">Webpage</a><br>
+        <b>About:</b> Michael Oduoza is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. He received his B.S. and M.S. degrees in Electrical Engineering from Stanford in 2021 and 2022 respectively.  <br>
+        <b>Research:</b> His research focuses on hardware/software co-design to create energy-efficient computing systems. He is broadly interested in designing new computer architectures for emerging machine learning applications. His pre-Ph.D. research spanned a range of topics, from semiconductor devices to circuits to systems.  
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