update 2024 05

content/_index.md

@@ -127,7 +127,7 @@ sections:
 
   - block: experience
     content:
-      title: Intership
+      title: Internship
       # Date format for experience
       #   Refer to https://docs.hugoblox.com/customization/#date-format
       date_format: Jan 2006

content/authors/admin/_index.md

@@ -25,12 +25,12 @@ organizations:
     url: https://www.kaust.edu.sa/en/
 
 # Short bio (displayed in user profile at end of posts)
-bio: I am a Ph.D candidate working on near-edge assisted DNN inference.
+bio: I am a Ph.D student working on edge-cloudlet-cloud NN co-inference.
 
 # Interests to show in About widget
 interests:
   - Split Computing
-  - Near-Edge Assisted DNN Inference
+  - Edge-Cloudlet-Cloud NN co-Inference
   - FPGA
 
 # Education to show in About widget
@@ -106,6 +106,6 @@ social:
 highlight_name: true
 ---
 
-Hao Liu is a third year Ph.D candidate in the Accelerated Connected Computing Lab [ACCL](https://accl.kaust.edu.sa/) at KAUST. He mainly works on near-edge assisted DNN inference, which is to offload computation from edge to near-edge accelerators to improve DNN inference performance. He also works on split computing, reconfigurable computing systems, and has explored machine learning model compression and physically unclonable functions. 
+Hao Liu is a second year Ph.D student in the Accelerated Connected Computing Lab [ACCL](https://accl.kaust.edu.sa/) at KAUST. He mainly works on hardware-software co-design, especially for Neural Network co-inference across multiple devices. He also works on split computing, reconfigurable computing systems, and has explored machine learning model compression and physically unclonable functions. 
 He received his Bachelor's degree in Electronic and Information Engineering and Master's degree in Cyber Science and Technology from Beihang University, Beijing, China in 2019 and 2021, respectively.
 # {style="text-align: justify;"}