Enamul Hoque Prince
School of Information Technology
Associate Professor
Office: 3052 Victor Phillip Dahdaleh Building (DB)
Phone: (416) 736-2100 Ext: 33880
Email: enamulh@yorku.ca
Primary website: Personal website
Secondary website: Intelligent Visualization Lab Website
Attached CV
Media Requests Welcome
Accepting New Graduate Students
Enamul Hoque Prince is an Associate Professor at the School of Information Technology, York University. He directs the Intelligent Visualization Lab funded by the Canada Foundation for Innovation (CFI) and Ontario Research Funds (ORF). Previously, he was a postdoctoral fellow in Computer Science at Stanford University. His research unites Natural Language Processing and Information Visualization—two fields that have historically evolved separately—to establish a new frontier in language-based data interaction and reasoning. His work advances this frontier through multimodal AI and agentic systems, making data analytics more accessible, inclusive, and trustworthy. It has produced widely adopted benchmarks and models—including ChartQA, Chart-to-Text, UniChart, and ChartGemma—that have helped shape the emerging field of multimodal AI for data visualization and have been adopted by leading AI organizations, including OpenAI, Google, and Anthropic, for evaluating frontier vision-language models.
Dr. Prince has published nearly 100 papers in premier venues spanning AI, visualization, and human-computer interaction, including ACL, EMNLP, IEEE VIS, CHI, and UIST. His work has received numerous recognitions, including the IEEE VIS Best Short Paper Award, ACM DIS Best Paper Honorable Mention, CVPR Workshop Best Paper Award, and York University’s Dean’s Award for Distinction in Research. He has delivered numerous invited talks and organized tutorials and panels at leading international conferences, including IEEE VIS, EMNLP, and EACL. He serves as an Area Chair for the ACL Rolling Review, is a member of the IEEE VIS Program Committee, and is a Senior Member of IEEE. He is also a member of Connected Minds, the Centre for AI & Society, and the Dahdaleh Institute for Global Health Research at York University. His research has been supported by NSERC, the Canada Foundation for Innovation, the National Research Council Canada, and industry partners.
Degrees
Postdoctoral Fellow in Computer Science, Stanford UniversityPhD in Computer Science, University of British Columbia
MSc in Computer Science, Memorial University of Newfoundland
BSc in Computer Science & Engineering, Chittagong University of Engineering & Technology
Professional Leadership
• Established foundational benchmarks and models for chart reasoning in multimodal AI through ChartQA, ChartQAPro, Chart2Text, OpenCQA, UniChart and ChartGemma, achieving 750K+ downloads and adoption by leading AI systems including GPT-4, Claude, and Gemini.
• Nearly 100 peer-reviewed publications across premier venues in NLP (ACL, EMNLP, COLM), Visualization (IEEE VIS, EuroVis), and HCI (CHI, UIST, IUI).
• 6 U.S. patents spanning visualization, conversational analytics, and AI-assisted data interaction.
• Recipient of the IEEE VIS Best Short Paper Award, CVPR Workshop Best Paper Award, ACM DIS Honorable Mention Award, and Dean’s Award for Distinction in Research at York Univ.
• Principal Investigator on $1.1M+ in competitive research funding from NSERC, CFI, NRC Canada, and industry partners.
• Founder and Director of the Intelligent Visualization Lab, supervising nearly 40 trainees and an interdisciplinary research program spanning NLP, Visualization, and Multimodal AI.
• Served as Area Chair for ACL Rolling Review, IEEE VIS Program Committee member, and organizer of 9 tutorials, panels, and workshops at top venues including IEEE VIS, EMNLP, and EACL.
Research Interests
- Best Paper Award for short paper in IEEE Visualization (VIS), 2025. - 2025
- Dean's award for Distinction in Research, Faculty of Liberal Arts & Professional Studies - 2022
- Research Leaders Release Program award for the project titled “Towards inclusive and accessible data visualizations and analytics, Faculty of Liberal Arts & Professional Studies - 2022
- Best Paper Honorable Mention Award for paper in ACM Conference on Designing Interactive Systems (DIS) - 2021
- Best Paper in CVPR workshop on Chart Question Answering - 2021
- Special Recognitions for Outstanding Reviews, ACM Conference on Human Factors in Computing Systems (CHI) - 2021
- Faculty of Science graduate award - 2012-2016
Enamul Hoque and Giuseppe Carenini, Interactive topic hierarchy revision for exploring a collection of online conversations, Journal of Information Visualization, 2018.
Enamul Hoque, Vidya Setlur, Melanie Tory and Isaac Dykeman, Applying pragmatics principles for interaction with visual analytics, IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST), 2017 (21.0% acceptance rate).
Enamul Hoque and Giuseppe Carenini, Interactive topic modeling for exploring asynchronous online conversations: design and evaluation of ConVisIT, ACM Transactions on Interactive Intelligent Systems (TIIS), Vol. 6, No. 1, pp. 7:1-7:24, 2016.
Enamul Hoque and Giuseppe Carenini, ConVis: A visual text analytic system
for exploring blog conversations, Journal of Computer Graphics Forum (Proc.
EuroVis), Vol. 33, No. 3, pp. 221-230, 2014, (22.9% acceptance rate).
Cristina Conati, Giuseppe Carenini, Enamul Hoque, Ben Steichen and Dereck
Toker, Evaluating the impact of user characteristics and different layouts on an
interactive visualization for decision making, Journal of Computer Graphics Forum
(Proc. EuroVis), Vol. 33, No. 3, pp. 371-380, 2014, (22.9% acceptance rate).
Enamul Hoque, Orland Hoeber, Minglun Gong, CIDER: Concept-based image diversification, exploration, and retrieval, Journal of Information Processing & Management (IPM), Vol. 49, No 5, pp. 1122-1138, 2013.
Enamul Hoque, Orland Hoeber, Minglun Gong, Balancing the trade-offs between diversity and precision for Web image search using concept-based query expansion, Journal of Emerging Technologies in Web Intelligence (JETWI), Vol: 4, No 1, pp. 26-34, 2012.
Enamul Hoque, Orland Hoeber, Grant Strong, Minglun Gong, Combining conceptual query expansion and visual search results exploration for Web image retrieval, Journal of Ambient Intelligence and Humanized Computing (JAIHC), Vol.4, No. 3 pp. 389-400, 2011.
Gahangir Hossain, Enamul Hoque, M. I. Monir, M. A. Sharif, Automatic stemming and its impact in Bangla information retrieval, Computer Science and Engineering Research Journal (CSERJ), Vol. 5, pp. 17-23, ISSN: 1990-4010, 2008.
Dae Hyun Kim, Enamul Hoque, Dae Hyun Kim, Enamul Hoque, Juho Kim, Maneesh Agrawala, Facilitating Document Reading by Linking Text and Tables, In Proceedings of ACM User Interface Software and Technology Symposium (UIST), 2018 (21.3% acceptance rate).
Enamul Hoque, Shafiq Joty, Lluís Màrquez, and Giuseppe Carenini, CQAVis: Visual text analytics for community question answering, In Proceedings of ACM Intelligent User Interfaces (IUI), pp. 161-172, 2017(23% acceptance rate).
E Hoque, S. Joty, Lluís Màrquez, Alberto Barrón-Cedeño, Giovanni Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, and Giuseppe Carenini, An interactive system for exploring community question answering forums, International Conference on Computational Linguistics (COLING), 2016.
Enamul Hoque and Giuseppe Carenini, MultiConVis: A visual text analytics system for exploring a collection of online conversations, pp. 96-107 In Proceedings of ACM Intelligent User Interfaces (IUI), 2016 (25.9% acceptance rate).
Shafiq Joty and Enamul Hoque, Speech act modeling of written asynchronous conversations with task-specific embeddings and conditional structured models, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1746–1756, 2016 (28% acceptance rate).
Enamul Hoque and Giuseppe Carenini, ConVisIT: Interactive topic modeling for exploring asynchronous online conversations, In Proceedings of ACM Intelligent User Interfaces (IUI), pp. 169-180 2015, (22.9% acceptance rate)
Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, Dereck Toker, James Enns, Highlighting interventions and user differences: informing adaptive information visualization support, In Proceedings of The ACM Conference on Human Factors in Computing Systems (CHI), pp. 1835-1844, 2014 (23% acceptance rate).
Enamul Hoque, Grant Strong, Orland Hoeber Minglun Gong, Conceptual query expansion and visual search results exploration for Web image retrieval, In Proceedings of the Atlantic Web Intelligence Conference (AWIC), pp. 73-82, 2011.
Enamul Hoque, Giuseppe Carenini, Multimedia summary generation from online conversations: Current approaches and future directions (EMNLP Workshop on New Frontiers in Summarization), in conjunction with the EMNLP 2017, Copenhagen, Denmark, 2017.
Enamul Hoque, Giuseppe Carenini and Shafiq Joty, Interactive exploration of asynchronous conversations: Applying a user-centered approach to design a visual text analytic system. In Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces (ILLVI 2014), in conjunction with the ACL-2014, Baltimore, USA.
Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, User Task adaptation in multimedia presentations. Proceedings of the Workshop on User-Adaptive Information Visualization (WUAV 2013), in conjunction with the 21st conference on User Modeling, Adaptation and Personalization (UMAP 2013), Rome, Italy, June 2013.
Cristina Conati, Enamul Hoque, Dereck Toker, Ben Steichen, When to adapt: Detecting user’s confusion during visualization processing, Proceedings of the Workshop on User-Adaptive Information Visualization (WUAV 2013), in conjunction with the 21st conference on User Modeling, Adaptation and Personalization (UMAP 2013), Rome, Italy, June 2013.
Enamul Hoque, Orland Hoeber, Minglun Gong, Evaluating the trade-offs between diversity and precision for Web image search using concept-based query expansion, Proceedings of the Workshop on Intelligent Web Interaction, in conjunction with the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 130-133, Lyon, France, 2011.
Upcoming Courses
| Term | Course Number | Section | Title | Type |
|---|---|---|---|---|
| Fall 2026 | AP/ITEC3230 3.0 | A | Designing User Interfaces | BLEN |
| Fall 2026 | GS/ITEC6170 3.0 | A | Information Visualization | LECT |
Enamul Hoque Prince is an Associate Professor at the School of Information Technology, York University. He directs the Intelligent Visualization Lab funded by the Canada Foundation for Innovation (CFI) and Ontario Research Funds (ORF). Previously, he was a postdoctoral fellow in Computer Science at Stanford University. His research unites Natural Language Processing and Information Visualization—two fields that have historically evolved separately—to establish a new frontier in language-based data interaction and reasoning. His work advances this frontier through multimodal AI and agentic systems, making data analytics more accessible, inclusive, and trustworthy. It has produced widely adopted benchmarks and models—including ChartQA, Chart-to-Text, UniChart, and ChartGemma—that have helped shape the emerging field of multimodal AI for data visualization and have been adopted by leading AI organizations, including OpenAI, Google, and Anthropic, for evaluating frontier vision-language models.
Dr. Prince has published nearly 100 papers in premier venues spanning AI, visualization, and human-computer interaction, including ACL, EMNLP, IEEE VIS, CHI, and UIST. His work has received numerous recognitions, including the IEEE VIS Best Short Paper Award, ACM DIS Best Paper Honorable Mention, CVPR Workshop Best Paper Award, and York University’s Dean’s Award for Distinction in Research. He has delivered numerous invited talks and organized tutorials and panels at leading international conferences, including IEEE VIS, EMNLP, and EACL. He serves as an Area Chair for the ACL Rolling Review, is a member of the IEEE VIS Program Committee, and is a Senior Member of IEEE. He is also a member of Connected Minds, the Centre for AI & Society, and the Dahdaleh Institute for Global Health Research at York University. His research has been supported by NSERC, the Canada Foundation for Innovation, the National Research Council Canada, and industry partners.
Degrees
Postdoctoral Fellow in Computer Science, Stanford UniversityPhD in Computer Science, University of British Columbia
MSc in Computer Science, Memorial University of Newfoundland
BSc in Computer Science & Engineering, Chittagong University of Engineering & Technology
Professional Leadership
• Established foundational benchmarks and models for chart reasoning in multimodal AI through ChartQA, ChartQAPro, Chart2Text, OpenCQA, UniChart and ChartGemma, achieving 750K+ downloads and adoption by leading AI systems including GPT-4, Claude, and Gemini.
• Nearly 100 peer-reviewed publications across premier venues in NLP (ACL, EMNLP, COLM), Visualization (IEEE VIS, EuroVis), and HCI (CHI, UIST, IUI).
• 6 U.S. patents spanning visualization, conversational analytics, and AI-assisted data interaction.
• Recipient of the IEEE VIS Best Short Paper Award, CVPR Workshop Best Paper Award, ACM DIS Honorable Mention Award, and Dean’s Award for Distinction in Research at York Univ.
• Principal Investigator on $1.1M+ in competitive research funding from NSERC, CFI, NRC Canada, and industry partners.
• Founder and Director of the Intelligent Visualization Lab, supervising nearly 40 trainees and an interdisciplinary research program spanning NLP, Visualization, and Multimodal AI.
• Served as Area Chair for ACL Rolling Review, IEEE VIS Program Committee member, and organizer of 9 tutorials, panels, and workshops at top venues including IEEE VIS, EMNLP, and EACL.
Research Interests
Awards
- Best Paper Award for short paper in IEEE Visualization (VIS), 2025. - 2025
- Dean's award for Distinction in Research, Faculty of Liberal Arts & Professional Studies - 2022
- Research Leaders Release Program award for the project titled “Towards inclusive and accessible data visualizations and analytics, Faculty of Liberal Arts & Professional Studies - 2022
- Best Paper Honorable Mention Award for paper in ACM Conference on Designing Interactive Systems (DIS) - 2021
- Best Paper in CVPR workshop on Chart Question Answering - 2021
- Special Recognitions for Outstanding Reviews, ACM Conference on Human Factors in Computing Systems (CHI) - 2021
- Faculty of Science graduate award - 2012-2016
All Publications
Enamul Hoque and Giuseppe Carenini, Interactive topic hierarchy revision for exploring a collection of online conversations, Journal of Information Visualization, 2018.
Enamul Hoque, Vidya Setlur, Melanie Tory and Isaac Dykeman, Applying pragmatics principles for interaction with visual analytics, IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST), 2017 (21.0% acceptance rate).
Enamul Hoque and Giuseppe Carenini, Interactive topic modeling for exploring asynchronous online conversations: design and evaluation of ConVisIT, ACM Transactions on Interactive Intelligent Systems (TIIS), Vol. 6, No. 1, pp. 7:1-7:24, 2016.
Enamul Hoque and Giuseppe Carenini, ConVis: A visual text analytic system
for exploring blog conversations, Journal of Computer Graphics Forum (Proc.
EuroVis), Vol. 33, No. 3, pp. 221-230, 2014, (22.9% acceptance rate).
Cristina Conati, Giuseppe Carenini, Enamul Hoque, Ben Steichen and Dereck
Toker, Evaluating the impact of user characteristics and different layouts on an
interactive visualization for decision making, Journal of Computer Graphics Forum
(Proc. EuroVis), Vol. 33, No. 3, pp. 371-380, 2014, (22.9% acceptance rate).
Enamul Hoque, Orland Hoeber, Minglun Gong, CIDER: Concept-based image diversification, exploration, and retrieval, Journal of Information Processing & Management (IPM), Vol. 49, No 5, pp. 1122-1138, 2013.
Enamul Hoque, Orland Hoeber, Minglun Gong, Balancing the trade-offs between diversity and precision for Web image search using concept-based query expansion, Journal of Emerging Technologies in Web Intelligence (JETWI), Vol: 4, No 1, pp. 26-34, 2012.
Enamul Hoque, Orland Hoeber, Grant Strong, Minglun Gong, Combining conceptual query expansion and visual search results exploration for Web image retrieval, Journal of Ambient Intelligence and Humanized Computing (JAIHC), Vol.4, No. 3 pp. 389-400, 2011.
Gahangir Hossain, Enamul Hoque, M. I. Monir, M. A. Sharif, Automatic stemming and its impact in Bangla information retrieval, Computer Science and Engineering Research Journal (CSERJ), Vol. 5, pp. 17-23, ISSN: 1990-4010, 2008.
Dae Hyun Kim, Enamul Hoque, Dae Hyun Kim, Enamul Hoque, Juho Kim, Maneesh Agrawala, Facilitating Document Reading by Linking Text and Tables, In Proceedings of ACM User Interface Software and Technology Symposium (UIST), 2018 (21.3% acceptance rate).
Enamul Hoque, Shafiq Joty, Lluís Màrquez, and Giuseppe Carenini, CQAVis: Visual text analytics for community question answering, In Proceedings of ACM Intelligent User Interfaces (IUI), pp. 161-172, 2017(23% acceptance rate).
E Hoque, S. Joty, Lluís Màrquez, Alberto Barrón-Cedeño, Giovanni Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, and Giuseppe Carenini, An interactive system for exploring community question answering forums, International Conference on Computational Linguistics (COLING), 2016.
Enamul Hoque and Giuseppe Carenini, MultiConVis: A visual text analytics system for exploring a collection of online conversations, pp. 96-107 In Proceedings of ACM Intelligent User Interfaces (IUI), 2016 (25.9% acceptance rate).
Shafiq Joty and Enamul Hoque, Speech act modeling of written asynchronous conversations with task-specific embeddings and conditional structured models, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1746–1756, 2016 (28% acceptance rate).
Enamul Hoque and Giuseppe Carenini, ConVisIT: Interactive topic modeling for exploring asynchronous online conversations, In Proceedings of ACM Intelligent User Interfaces (IUI), pp. 169-180 2015, (22.9% acceptance rate)
Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, Dereck Toker, James Enns, Highlighting interventions and user differences: informing adaptive information visualization support, In Proceedings of The ACM Conference on Human Factors in Computing Systems (CHI), pp. 1835-1844, 2014 (23% acceptance rate).
Enamul Hoque, Grant Strong, Orland Hoeber Minglun Gong, Conceptual query expansion and visual search results exploration for Web image retrieval, In Proceedings of the Atlantic Web Intelligence Conference (AWIC), pp. 73-82, 2011.
Enamul Hoque, Giuseppe Carenini, Multimedia summary generation from online conversations: Current approaches and future directions (EMNLP Workshop on New Frontiers in Summarization), in conjunction with the EMNLP 2017, Copenhagen, Denmark, 2017.
Enamul Hoque, Giuseppe Carenini and Shafiq Joty, Interactive exploration of asynchronous conversations: Applying a user-centered approach to design a visual text analytic system. In Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces (ILLVI 2014), in conjunction with the ACL-2014, Baltimore, USA.
Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, User Task adaptation in multimedia presentations. Proceedings of the Workshop on User-Adaptive Information Visualization (WUAV 2013), in conjunction with the 21st conference on User Modeling, Adaptation and Personalization (UMAP 2013), Rome, Italy, June 2013.
Cristina Conati, Enamul Hoque, Dereck Toker, Ben Steichen, When to adapt: Detecting user’s confusion during visualization processing, Proceedings of the Workshop on User-Adaptive Information Visualization (WUAV 2013), in conjunction with the 21st conference on User Modeling, Adaptation and Personalization (UMAP 2013), Rome, Italy, June 2013.
Enamul Hoque, Orland Hoeber, Minglun Gong, Evaluating the trade-offs between diversity and precision for Web image search using concept-based query expansion, Proceedings of the Workshop on Intelligent Web Interaction, in conjunction with the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 130-133, Lyon, France, 2011.
Upcoming Courses
| Term | Course Number | Section | Title | Type |
|---|---|---|---|---|
| Fall 2026 | AP/ITEC3230 3.0 | A | Designing User Interfaces | BLEN |
| Fall 2026 | GS/ITEC6170 3.0 | A | Information Visualization | LECT |
