Shardul Sapkota
Scholar

Shardul Sapkota

Google Scholar ID: VLqcMi8AAAAJ
Stanford University
Human-Computer InteractionUbiquitous ComputingAssistive Augmentation
Citations & Impact
All-time
Citations
166
 
H-index
7
 
i10-index
6
 
Publications
10
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Published a paper titled 'Supporting Physical Activity Behavior Change with LLM-Based Conversational Agents'.
Research Experience
  • Before Stanford, he was a Senior Machine Learning Engineer at Shopee, working on training neural networks for its advertisement and recommender systems. Prior to joining Shopee, he conducted research on Human-Computer Interaction at the NUS-HCI Lab with Professor Shengdong Zhao, the Augmented Human Lab (Auckland Bioengineering Institute) with Professor Suranga Nanayakkara, and the Fluid Interfaces Group (MIT Media Lab) with Tomás Vega.
Education
  • Received undergraduate degree from Yale-NUS College, where his thesis focused on using physiological signals to detect changes in people’s attentional states in real-time. Currently a PhD student at Stanford University, advised by Professors James Landay and Scott Delp.
Background
  • Second year Computer Science PhD student at Stanford University, focusing on designing sensing systems and interfaces for health and wellbeing.