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Amal Vincent

Computer Scientist

Welcome to my website. I am Amal Vincent, an interdisciplinary researcher in the domain of Health Informatics, residing in Vancouver, Canada. I grew up on the southwestern coast of India, in Kochi — a fun place to visit if you love to travel.

I am currently a Sessional Instructor at the School of Interactive Arts and Technology at Simon Fraser University. I was formerly a graduate researcher in the BioViz lab with Dr. Chris Shaw. I am a computer scientist, engineer, user researcher, educator and social activist.

My skills

Skilled Programmer in multiple languages
Data Analytics
Fullstack Web development
User study and
research design

Research

My recent work is in the domain of health informatics with significant contributions in the field of Data Analytics, Visual Analytics, Human Computer Interaction and Artificial Intelligence. In the past I have touched domains including but not limited to Computer Vision, Image Processing and Machine learning.

Research interests

Artificial Intelligence and Machine Learing
Health Informatics
Human Computer Interaction
Computer Vision and Image Processing

Publications

For updated set of publications please visit my Google scholar profile.

  1. Amal Vincent. 2021. Design and in pandemic validation of correlation visualisation for sleep data analytics. Dissertation. Communication, Art & Technology: School of Interactive Arts and Technology. URL: https://summit.sfu.ca/item/21392
  2. Amal Vincent, Ankit Gupta, Ruoyu Li, Chris Shaw, and Saba Akhyani. 2019. Data acquisition and visual analytic tool-set for paediatric sleep data. In Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth'19). ACM, New York, NY, USA, 320-326. DOI: https://doi.org/10.1145/3329189.3329228
  3. Amal Vincent, Ankit Gupta, Chris Shaw, and Ruoyu Li. 2019. Correlation Visualisation for sleep data analytics in SWAPP (Sleep Wake Application). Electronic Imaging 2019, 1: 682-1-682–10. DOI: https://doi.org/10.2352/ISSN.2470-1173.2019.1.VDA-682
  4. Min Fan, Uddipana Baishya, Elgin-Skye Mclaren, Alissa N. Antle, Shubhra Sarker, and Amal Vincent. 2018. Block Talks: A Tangible and Augmented Reality Toolkit for Children to Learn Sentence Construction. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18). ACM, New York, NY, USA, Paper LBW056, 6 pages. DOI: https://doi.org/10.1145/3170427.3188576
  5. Krupa Jariwala, Upena Dalal, and Amal Vincent. 2016. A robust eye gaze estimation using geometric eye features. In 2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC). DOI: 10.1109/DIPDMWC.2016.7529379