Conference Papers

[1] Nur, Nasheen, Noseong Park, Mohsen Dorodchi, Wenwen Dou, Mohammad Javad Mahzoon, Xi Niu, and Mary Lou Maher. "Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education." In International Conference on Artificial Intelligence in Education, pp. 370-382. Springer, Cham, 2019

[2] Nur, Nasheen, Siddharth Sridhar, Seemita Pal, Aditya Ashok, and Vinay C. Amatya. "A Clustering Approach for Consumer Baselining and Anomaly Detection in Transactive Control." In Proceedings of the Tenth ACM International Conference on Future Energy Systems, pp. 516-521. ACM, 2019  

[3] Nur, Nasheen, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon. "Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients." In 2019 IEEE International Conference on Big Data. (Big Data), pp. 1181-1186. IEEE, 2019.

[4] Arendt, Dustin, Nur, Nasheen, Zhuanyi Huang, Gabriel Fair, Wenwen Dou. "Parallel Embedding: A Visualization Technique for Contrasting Learned Representations." In Proceedings of the 25th International Conference on Intelligent User Interface, 2020

[5] Ahmad Al-Doulat, Nur, Nasheen, Alireza Karduni, Aileen Benedict, Erfan Al-Hossami, Mary Lou Maher, Wenwen Dou, Mohsen Dorodchi and Xi Niu. "Making Sense of Student Success and Risk through Unsupervised Learning and Interactive Storytelling." In International Conference on Artificial Intelligence in Education, AIED 2020, vol 12163. Springer, Cham, 2020 [co-authored as first author with equal contribution]

[6] Nur, Nasheen, Wenwen Dou, Xi Niu, Siddharth Krishnan, and Noseong Park. "GI-OHMS: Graphical Inference to Detect Overlapping Communities." arXiv preprint arXiv:1810.01547 (2018).

[7] Nur, Nasheen. "Developing Temporal Machine Learning Approaches to Support Modeling, Explaining, and Sensemaking of Academic Success and Risk of Undergraduate Students." PhD diss., The University of North Carolina at Charlotte, 2021.

[8] N. Nur, A. Benedict, O. Eltayeby, W. Dou, M. Dorodchi, X. Niu, M.L. Maher. "EXPLAINABLE AI FOR DATA DRIVEN LEARNING ANALYTICS: A HOLISTIC APPROACH TO ENGAGE ADVISORS IN KNOWLEDGE DISCOVERY" In Proceedings of EDULEARN22 Conference,2022.

[9] Stern, William, Seng Jhing Goh, Nasheen Nur, Patrick J. Aragon, and Thomas Mercer. "Natural Language Explanations for Suicide Risk Classification Using Large Language Models." (2024).

[10] Nguyen,Van Minh, Nur, Nasheen, William Stern, Thomas Mercer, Chiradeep Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, and Seng Jhing Goh. "Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data." In 2023 International Conference on Machine Learning and Applications (ICMLA), pp. 2095-2102. IEEE, 2023.

[11] Khushbu, Sharun, Nasheen Nur, Mohiuddin Ahmed, and Nashtarin Nur. "Ushoshi2023 at BLP-2023 Task 2: A comparison of traditional to advanced linguistic models to analyze sentiment in bangla texts." In Proceedings of the First Workshop on Bangla Language Processing (BLP-2023), pp. 293-299. 2023.

[12] Nur, N., S. J. Goh, J. Patel, and M. Mizrahi. "NAVIGATING THE ETHICAL LANDSCAPE OF AI INTEGRATION IN EDUCATIONAL SETTINGS." In INTED2024 Proceedings, pp. 7654-7663. IATED, 2024.

[13] Sudhakaran, S., N. Nur, and A. Zarraa. "NAVIGATING THE CHALLENGES: UNDERSTANDING ANXIETY AMONG INTERNATIONAL GRADUATE STUDENTS IN THE UNITED STATES." In INTED2024 Proceedings, pp. 7664-7672. IATED, 2024.

[14] Alsuliman, F., Bhattacharyya, S.,Slhoub, K., Nur, N., Chambers, C. et al. "Social Media vs. News Platforms: A Cross-analysis for Fake News Detection Using Web Scraping and NLP." In The 15th PErvasive Technologies Related to Assistive Environments Conference,2022.

[15] Fernalld, Kourtnee, T. J. OConnor, Sneha Sudhakaran, and Nasheen Nur. "Lightweight Symphony: Towards Reducing Computer Science Student Anxiety with Standardized Docker Environments." In Proceedings of the 24th Annual Conference on Information Technology Education, pp. 15-21. 2023.

[16] Chambers, Candice Normalee, Siddhartha Bhattacharyaa, and Nasheen Nur. "Natural Language Processing of Specifications for a Prototypical Avionic System to Generate System Design: A Case Study." In 2022 IEEE International Symposium on Systems Engineering (ISSE), pp. 1-8. IEEE, 2022.

[17] Chambers, Candice, Parth Ganeriwala, Siddhartha Bhattacharyya, Chiradeep Sen, and Nasheen Nur. "Towards Knowledge Extraction and Parsing of XML Metadata for SysML System Architecture Modeling." In 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 0564-0570. IEEE, 2023.

Journals

[18] Nagahisarchoghaei, Mohammad, Nasheen Nur, Logan Cummins, Nashtarin Nur, Mirhossein Mousavi Karimi, Shreya Nandanwar, Siddhartha Bhattacharyya, and Shahram Rahimi. 2023. "An Empirical Survey on Explainable AI Technologies: Recent Trends, Use-Cases, and Categories from Technical and Application Perspectives" Electronics 12, no. 5: 1092. https://doi.org/10.3390/electronics12051092

[19] Aswani, Seema, Kabita Choudhary, Sujala Shetty, and Nasheen Nur. "Automatic text summarization of scientific articles using transformers—A brief review." Journal of Autonomous Intelligence 7, no. 5 (2024).