13. Griot-Style Methodology: Longitudinal Study of Navigating Design With Unwritten Stories.
Lindah Kotut, Neelma Bhatti, Taha Hassan, Derek Haqq, and Morva Saaty.
 CHI'24  Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems, May 2024, Honolulu, Hawai'i.
doi | pdf

12. Is long-distance hiking an emotional journey? Evaluating emotions and weather effects on the Appalachian Trail.
Morva Saaty, Natalie Andrus, Norhan Abdelgawad, Jennifer Chandran, Brett Noneman, Justice Jackson, Kun Alading, Taha Hassan, D. Scott McCrickard, Shalini Mishra, and Kris Wernstedt.
 CHI'24  Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems, May 2024, Honolulu, Hawai'i. (Late-Breaking Work)
doi | pdf

11. Poke'mon Go with social distancing: social media analysis of players' experiences with location-based games.
Morva Saaty, Derek Haqq, Mohammadreza Beyki, Taha Hassan, and D. Scott McCrickard,
 CHIPlay'22  Proceedings of the ACM Annual Symposium on Computer-Human Interaction in Play, Nov 2022, Bremen, Germany
doi | pdf

10. Data-informed learning design in an introductory Computer Science course.
Daron Williams, Larry Cox II, Margaret Ellis, Bob Edmison, Taha Hassan, Aaron Bond, Virginia Clark, Daniel Yaffe, Molly Domino and Derek Haqq
 Springer  Learning Design and Technology, Aug 2022. (Book Chapter)
Springer | pdf

9. Learning to trust: understanding editorial authority and trust in recommender systems for education.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams and D. Scott McCrickard
 UMAP'21  Proceedings of 29th ACM Conference on User Modeling, Adaptation and Personalization, June 2021, Utrecht, the Netherlands
ACM | pdf

8. Depth of use: an empirical framework to help instructors gauge the relative impact of learning management system tools.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams and D. Scott McCrickard
 ITiCSE'20   Proceedings of 25th ACM Conference on Innovation and Technology in Computer Science Education, June 2020, Trondheim, Norway
ACM | pdf

7. Mining the frequent use-contexts of learning management system tools and assessing their impact on learning outcomes.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams and D. Scott McCrickard
Preprint, Aug 2020
pdf

6. Exploring the context of course rankings on online forums.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet and Daron Williams
 ASONAM'19  Proceedings of the 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2019, Vancouver, BC
ACM | pdf

5. On bias in social reviews of university courses.
Taha Hassan
 WebSci'19 Companion  Companion Proceedings of the 11th ACM Conference on Web Science, Jun 2019, Boston, MA
ACM | pdf

4. Trust and trustworthiness in social recommender systems.
Taha Hassan and D. Scott McCrickard
 WWW'19 Companion  Companion Proceedings of the 2019 World Wide Web Conference, May 2019, San Francisco, CA
ACM | pdf

3. Collaborative filtering for household load predictive given contextual information.
Taha Hassan, Naveed Arshad, Erik Dahlquist and D. Scott McCrickard
 SDM'17 Companion   Proceedings of the SIAM Workshop on Machine Learning Methods for Recommender Systems (MLREC '17), held in conjunction with SDM '17, April 2017, Houston, TX
ACM | pdf

2. An empirical investigation of VI-trajectory based load signatures for non-intrusive load monitoring.
Taha Hassan, Fahad Javed and Naveed Arshad
IEEE Transactions on Smart Grid, 2014. 
ieeeXplore | pdf | scripts

1. Manual-setup non-intrusive disaggregation using enhanced differential evolution.
Taha Hassan
Proceedings of the First Int. Workshop on Non-Intr. Load Monitoring (NILM '12), 2012. ieeeXplore | pdf