Faculty Fellow, Faculty of Liberal Arts & Professional Studies
Faculty Fellow
Dr. Enamul Hoque Prince is an Associate Professor and the Director of the School of Information Technology at 91ÑÇÉ«. Previously, he was a postdoctoral fellow in Computer Science at Stanford University. His current research aims to enhance accessibility and inclusivity in data science and analytics by integrating information visualization, human-computer interaction, and natural language processing. Since his research is uniquely positioned at the intersection of information visualization, NLP, and HCI, he regularly publishes in top venues in each of these areas including IEEE Vis, ACL, EMNLP, CHI, IUI, and UIST. He serves as an Area Chair for the ACL Rolling Review (2021-) and as a program committee member (2018-) for the IEEE Vis. His research has been funded by NSERC Canada, Canada Foundation for Innovation, and National Research Council Canada, among others.
He is interested in combining natural language processing and information visualization to democratize data so that people with various physical and cognitive challenges can overcome barriers in exploring and understanding data. For example, he has been working on supporting blind people and people with dementia with the help of natural language processing and data visualization. Recently he received an internal grant named Catalyzing Interdisciplinary Research Clusters with the project titled, “Towards inclusive and accessible data visualizations and analytics."
Research keywords:
Accessible and Inclusive data visualization, natural language processing
Themes | Global Health & Humanitarianism |
Status | Active |
Related Work |
N/A
|
Updates |
N/A
|
You may also be interested in...
Dahdaleh Researchers Awarded Connected Minds Grant to Co-Design Novel Machine Learning-Enabled Public Health Risk Assessment Tools in Uganda
A group of Dahdaleh Institute researchers has been awarded a Connected Minds grant. This grant will support new research on co-designing a novel machine learning-enabled public health risk assessment tool using quantitative microbial risk assessment (ML-QMRA) ...Read more about this Post
91ÑÇÉ« U researchers’ revamped AI tool makes water dramatically safer in refugee camps
As the world’s refugee crisis intensifies and climate change linked natural disasters become more frequent, unique machine-learning enabled tool helps aid workers deliver safe water in displaced-population settlements Woman and children gather at a tapstand ...Read more about this Post
Exciting New Events Scheduled for the Winter 2024!
The Dahdaleh Institute for Global Health Research has prepared an invigorating line-up of seminars for the start of the 2024 Winter semester. The events will feature a variety of topics covering the effects of climate ...Read more about this Post