Shardul Sapkota

I am a Machine Learning Engineer at Shopee, where I work with the team responsible for training neural networks for its recommender system. Before joining Shopee, I was fortunate to have been able to study and conduct research on Human-Computer Interaction at the NUS-HCI Lab, the Augmented Human Lab (Auckland Bioengineering Institute), and the Fluid Interfaces Group (MIT Media Lab). I received my undergraduate degree from Yale-NUS College, where my thesis focused on using physiological signals to detect changes in people’s attentional states in real-time.

I am passionate about building sensing technologies and interfaces that detect and respond to subtle changes in cognitive state and social context. These technologies often enable novel applications in health, learning, and productivity.


publications

  1. Ubiquitous Interactions for Heads-Up Computing: Understanding Users’ Preferences for Subtle Interaction Techniques in Everyday Settings
    Shardul Sapkota*, Ashwin Ram*, and Shengdong Zhao
    23rd International Conference on Mobile Human-Computer Interaction (MobileHCI’21) 2021
    *Denotes equal contribution
    Ubiquitous Interactions for Heads-Up Computing: Understanding Users’ Preferences for Subtle Interaction Techniques in Everyday Settings
    Shardul Sapkota*, Ashwin Ram*, and Shengdong Zhao
    23rd International Conference on Mobile Human-Computer Interaction (MobileHCI’21) 2021
    *Denotes equal contribution
  2. EyeKnowYou: A DIY Toolkit to Support Monitoring Cognitive Load and Actual Screen Time using a Head-Mounted Webcam
    Tharindu Kaluarachchi, Shardul Sapkota, Jules Taradel, Aristée Thevenon, Denys J.C. Matthies, and Suranga Nanayakkara
    Extended Abstracts of the 23rd International Conference on Mobile Human-Computer Interaction (MobileHCI’21) 2021
    EyeKnowYou: A DIY Toolkit to Support Monitoring Cognitive Load and Actual Screen Time using a Head-Mounted Webcam
    Tharindu Kaluarachchi, Shardul Sapkota, Jules Taradel, Aristée Thevenon, Denys J.C. Matthies, and Suranga Nanayakkara
    Extended Abstracts of the 23rd International Conference on Mobile Human-Computer Interaction (MobileHCI’21) 2021
  3. Moment-to-Moment Continuous Attention Fluctuation Monitoring through Consumer-Grade EEG Device
    Shan Zhang*, Zihan Yan*, Shardul Sapkota, Shengdong Zhao, and Wei Tsang Ooi
    Sensors 2021
    *Denotes equal contribution
    Moment-to-Moment Continuous Attention Fluctuation Monitoring through Consumer-Grade EEG Device
    Shan Zhang*, Zihan Yan*, Shardul Sapkota, Shengdong Zhao, and Wei Tsang Ooi
    Sensors 2021
    *Denotes equal contribution
  4. Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent
    Samantha WT Chan, Shardul Sapkota, Rebecca Mathews, Haimo Zhang, and Suranga Nanayakkara
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020
    Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent
    Samantha WT Chan, Shardul Sapkota, Rebecca Mathews, Haimo Zhang, and Suranga Nanayakkara
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020
  5. Byte. it: discreet teeth gestures for mobile device interaction
    Tomás Vega Gálvez, Shardul Sapkota, Alexandru Dancu, and Pattie Maes
    Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems 2019
    Byte. it: discreet teeth gestures for mobile device interaction
    Tomás Vega Gálvez, Shardul Sapkota, Alexandru Dancu, and Pattie Maes
    Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems 2019