Harshinee Sriram

Hi! I am Harshinee.

• I am currently pursuing my PhD in Computer Science at the University of British Columbia (UBC), Vancouver under Professor Cristina Conati.
• I am interested in investigating how to create user models for AI-driven personalizations that are not only accurate but also explainable.
• My research areas of interest are: User Modelling, Human-Centered AI, Explainable AI (XAI), and Responsible & Trustworthy AI.
• I am currently also an Applied Scientist Intern at the Amazon Web Services (AWS) Cloud Innovation Centre , where my work involves building cloud-based solutions using state-of-the-art concepts in AI to solve challenges faced by the community.
• Check out my most up-to-date resume below!

Click here to view my Google scholar profile!

• [C2] Harshinee Sriram, Cristina Conati, and Thalia Field, "Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data.", 25th ACM International Conference on Multimodal Interaction (ICMI) 2023. [Arxiv link]


• [W1] Harshinee Sriram and Cristina Conati, "Evaluating the overall sensitivity of saliency-based explanation methods.", International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Explainable Artificial Intelligence 2023. [Poster] [Arxiv link]


• [C1] Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Field, Hyeju Jang, Gabriel Murray, "Classification of Alzheimer’s using deep-learning methods on webcam-based gaze data", ACM Symposium on Eye Tracking Research Applications (ETRA) 2023. [Paper]