Publications

Complete List of Publications

* indicates equal contribution

2026

Davoudi, Ramtin, Kartik Thakkar, Nazanin Donyapour, Tyler Derr, and Hamid Karimi. "Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest" arXiv preprint arXiv:2604.18955 (2026).
Haozhe Chen, Soheila Farokhi, Kelvyn Bladen, Hamid Karimi, and Kevin R. Moon. "Random-Forest-Induced Graph Neural Networks for Tabular Learning" arXiv preprint arXiv:2602.24224 (2026).
Soheila Farokhi, Xiaojun Qi, and Hamid Karimi. "TAWRMAC: A Novel Dynamic Graph Representation Learning Method" In Proceedings of the ACM Web Conference 2026, pp. 684-695. 2026. (WWW 2026)

2025

Muhammad Fawad Akbar Khan*, Ludia Eka Feri*, Ha Nguyen, and Hamid Karimi. "Student-perceived Cognitive Load of LLM-generated Programming Exercises" The 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2025.
Ehsan Kahrizi, Chonoor Abdi Chooplou, Hamid Karimi, Parisa Tayebi, Seyed Ali Akbar Salehi Neyshabouri, and Masoud Ghodsia. "Machine Learning-Driven Optimization of Air Bubble Curtain Locations for Controlling Sea Water Intrusion" Journal of Results in Engineering (2025), p.108436.
Leslie A Brown, Catherine McGough Spence, Autumn Cuellar, Kartik Thakkar, Hamid Karimi, and Marissa A Tsugawa. "WIP: Developing an Interview Protocol to Unveil the Stories of Neurodivergent Engineering Students" in 2025 ASEE Annual Conference & Exposition, Montreal, Quebec, Canada: ASEE Conferences, Jun. 2025.
Zixi Chen, Kaitlin T. Torphy Knake, Hamid Karimi, and Nicole Donzella. "Building a nationally representative sample of teachers’ online and offline: the Public Instructional Network of School Resources" Journal of Research on Technology in Education 57, no. 3 (2025): 521-546.

2024

Kiana Kheiri and Hamid Karimi. "SentimentGPT: Leveraging GPT for Advancing Sentiment Analysis" In 2024 IEEE International Conference on Big Data (BigData), pp. 7051-7060. IEEE, 2024.
Soheila Farokhi, Haozhe Chen, Kevin Moon, and Hamid Karimi. "Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method" In 2024 IEEE International Conference on Big Data (BigData), pp. 7011-7020. IEEE, 2024.
Muhammad Fawad Akbar Khan, Max Ramsdell, Ha Nguyen, and Hamid Karimi. "Human Evaluation of GPT for Scalable Python Programming Exercise Generation" 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA).
Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, and Tyle Derr. "BTS: A Comprehensive Benchmark for Tie Strength Prediction" In Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025.
Muhammad Fawad Akbar Khan*, Max Ramsdell*, Erik Falor, and Hamid Karimi. "Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation" In 2024 In the 17th International Conference on Educational Data Mining (EDM 2024).
Aswani Yaramala*, Soheila Farokhi*, and Hamid Karimi. "Navigating the data-rich landscape of online learning: Insights and predictions from assistments" In 2024 In the 17th International Conference on Educational Data Mining (EDM 2024).
Soheila Farokhi, Arash Azizian Foumani, Xiaojun Qi, Tyler Derr, and Hamid Karimi. "EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks" Social Networks Analysis and Mining. ASONAM 2024. Lecture Notes in Computer Science, vol 15211. Springer, Cham..

2023

Hamid Karimi, Kaitlin Torphy Knake, and Kenneth A Frank. "An Analysis of Diffusion of Teacher-curated Resources on Pinterest" In The 16th International Conference on Educational Data Mining (EDM 2023).
Sakshi Solanki, Kiana Kheiri, Marissa A. Tsugawa, and Hamid Karimi. "Leveraging social media analytics in engineering education research" 2023 ASEE Annual Conference & Exposition. 2023.
Soheila Farokhi, Aswani Yaramal, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, and Hamid Karimi. "Enhancing the performance of automated grade prediction in mooc using graph representation learning" In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-10. IEEE, 2023.
Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, and Hamid Karimi. "An Analysis of the Dynamics of Ties on Twitter" In 2023 IEEE International Conference on Big Data (BigData), pp. 5809-5817. IEEE, 2023.
Muhammad Fawad Akbar Khan, John Edwards, Paul Bodily, and Hamid Karimi. "Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies for Grade Prediction" In 2023 IEEE International Conference on Big Data (BigData), pp. 5799-5808. IEEE, 2023.

2022

Delaney Moore , John Edwards, Karimi, Hamid, Rajiv Khadka, and Paul Bodily. "Temporal Abstract Syntax Trees for Understanding Student Coding Thought Process" In 2022 Intermountain Engineering, Technology and Computing (IETC), pp. 1-6. IEEE, 2022.
Hamid Karimi , Kaitlin Torphy Knake, and Kenneth A Frank. "Teachers in Social Media: A Gender-aware Behavior Analysis" In 2022 IEEE International Conference on Big Data (Big Data), pp. 1842-1849. IEEE, 2022.
Hamid Karimi , Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, and Hui Liu. "Enhancing individual fairness through propensity score matching" In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-10. IEEE, 2022.
Muhammad Fawad Akbar Khan, and Hamid Karimi. "A New Framework to Assess the Individual Fairness of Probabilistic Classifiers" In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 876-881. IEEE, 2022.
Hamid Karimi, and Tyler Derr. "Decision boundaries of deep neural networks" In 2022 21st IEEE international conference on machine learning and applications (ICMLA), pp. 1085-1092. IEEE, 2022.

2021

Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, and Jiliang Tang. "Deep adversarial network alignment." In Proceedings of the 30th ACM international conference on information & knowledge management, pp. 352-361. 2021.
Haochen Liu , Wei Jin, Hamid Karimi, Zitao Liu, and Jiliang Tang. "The authors matter: Understanding and mitigating implicit bias in deep text classification" arXiv preprint arXiv:2105.02778 (2021).
Kaitlin Torphy Knake, Hamid Karimi, Sihua Hu, Kenneth A Frank, and Jiliang Tang. "Educational Research in the Twenty-First Century: Leveraging Big Data to Explore Teachers’ Professional Behavior and Educational Resources Accessed within Pinterest" The Elementary School Journal 122, no. 1 (2021): 86-111.
Hamid Karimi, Jiliang Tang, Xochitl Weiss, and Jiangtao Huang. "Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning." In 2021 IEEE International Conference on Big Data (Big Data), pp. 643-652. IEEE, 2021.
Hamid Karimi*, Aaron Brookhouse*, Tyler Derr*, H Russell Bernard, and Jiliang Tang. "Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the US Presidential Primaries" In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 57-66, 2021.
Hamid Karimi. "Teachers in social media: a data science perspective" PhD diss., Michigan State University, 2021.

2020

Hamid Karimi, Jiangtao Huang, and Tyler Derr. "A deep model for predicting online course performance" In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Workshop on Artificial Intelligence for, 2020.
Hamid Karimi, Tyler Derr, Kaitlin T Torphy, Kenneth A Frank, and Jiliang Tang. "Towards improving sample representativeness of teachers on online social media: A case study on pinterest" In Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6--10, 2020, Proceedings, Part II 21, pp. 130-134. Springer International Publishing, 2020.
Hamid Karimi, Tyler Derr, Jiangtao Huang, and Jiliang Tang. "Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network" In The 13th International Conference on Educational Data Mining (EDM 2020), pp. 444-450, 2020.
Hamid Karimi, Kaitlin T Torphy, Tyler Derr, Kenneth A Frank, and Jiliang Tang. "Characterizing teacher connections in online social media: A case study on pinterest" In Proceedings of the Seventh ACM Conference on Learning@ Scale, pp. 249-252, 2020.
Hamid Karimi, Kaitlin T Torphy, Tyler Derr, Kenneth A Frank, and Jiliang Tang. "Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest" In IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (pp. 536-541). IEEE, 2020.
Hamid Karimi, and Jiliang Tang. "Decision boundary of deep neural networks: Challenges and opportunities" In Proceedings of the 13th International Conference on Web Search and Data Mining, pp. 919-920, 2020.

2019

Hamid Karimi , and Jiliang Tang. "Learning hierarchical discourse-level structure for fake news detection" In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 3432-3442. 2019.
Hamid Karimi*, Tyler Derr*, Aaron Brookhouse, and Jiliang Tang. "Multi-factor congressional vote prediction" In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 266-273. 2019.
Karimi, Hamid, Tyler Derr, Kaitlin T Torphy, Kenneth A Frank, and Jiliang Tang. "A roadmap for incorporating online social media in educational research" Teachers College Record 121, no. 14 (2019): 1-24.
Hamid Karimi , Tyler Derr, and Jiliang Tang. "Characterizing the decision boundary of deep neural networks" arXiv preprint arXiv:1912.11460 (2019).

2018

Hamid Karimi. 2018. “Interpretable Multimodal Deception Detection in Videos” In Proceedings of the 20th ACM International Conference on Multimodal Interaction, 511–515, 2018.
Hamid Karimi , Courtland VanDam, Liyang Ye, and Jiliang Tang. 2018. “End-to-End Compromised Account Detection” In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 314–321. IEEE.
Best Paper Award
Courtland VanDam, Pang-Ning Tan, Jiliang Tang, and Hamid Karimi. 2018. “Cadet: A Multi-View Learning Framework for Compromised Account Detection on Twitter” In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 471–478. IEEE.
Hamid Karimi , Jiliang Tang, and Yanen Li. 2018. “Toward End-to-End Deception Detection in Videos.” In 2018 IEEE International Conference on Big Data (Big Data), 1278–1283. IEEE.
Hamid Karimi , Proteek Roy, Sari Saba-Sadiya, and Jiliang Tang. 2018. “Multi-Source Multi-Class Fake News Detection” In Proceedings of the 27th International Conference on Computational Linguistics, 1546–1557.