Drexel University Computer Science faculty and students, including undergraduate, master, and PhD students, are advancing the fields of artificial intelligence, software engineering, computer vision, smart textiles, big data, and game theory through innovative research and impactful contributions.
Below are some of their recently published papers at top-tier computer science conferences and journals.
CCI faculty and students are listed in bold.
Conference and Workshop Papers
October 2025
Nicki Barari, Edward Kim, Christopher MacLellan. Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation. Advances in Cognitive Systems, In Proceedings of the ACS 2025 Conference. September 2025. https://openreview.net/forum?id=VPAUjiYc4m
Ismail Kuru, Colin S. Gordon. Modal Abstractions for Virtualizing Memory Addresses. In Proceedings of the ACM on Programming Languages, Volume 9, Issue OOPSLA2. October 2025. https://doi.org/10.1145/3763134
Yiyang Su, Yunping Shi, Feng Liu, Xiaoming Liu. HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). October 2025. https://doi.org/10.48550/arXiv.2508.05038
November 2025
Ramtin Ehsani, Esteban Parra Rodriguez, Sonia Haiduc, and Preetha Chatterjee. Hierarchical Knowledge Injection for Improving LLM-based Program Repair. In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), Research Papers Track, November 2025. https://arxiv.org/abs/2506.24015
*Accepted without revisions with an acceptance rate of 9.4%
Edward Kim, Richard Foty, Manil Shrestha, Vicki Seyfert-Margolis. Conformal Prediction and Verification of Large Language Model Extractions in EHR data. In Proceedings of the Fall AAAI Symposium, Volume 7, Issue 1, November 2025. https://doi.org/10.1609/aaaiss.v7i1.36929
Bansari Patel,* Edward Kim. Efficient Context Retention in LLMs: Enhancing In-Context Memorization as an Alternative. In Proceedings of the Fall AAAI Symposium, Volume 7, Issue 1, November 2025. https://doi.org/10.1609/aaaiss.v7i1.36933
*STAR Scholar Freshman publication
Daniel Schwartz, Lev A. Saunders, Nathalia, Gomez, Yusuf Osmanlioglu, Richard Vallett, Genevieve Dion, Ali Shokoufandeh. Minimalist Neural Networks for Gesture Recognition on Wearable Capacitive Touch Textiles With Comparative User Study. In Proceedings of the 2025 ACM Symposium on Spatial User Interaction (pp. 1-11), November 2025. https://doi.org/10.1145/3694907.3765936
Daniel Schwartz, Dario Salvucci, Yusuf Osmanlioglu, Richard Vallett, Genevieve Dion, Ali Shokoufandeh. Resource-Efficient Gesture Recognition through Convexified Attention. In ACM SIGCHI 18th Symposium on Engineering Interactive Computing Systems. 30 June - 3 July 2026, Patras, Greece.
Sophia Somers,* Edward Kim. Confidence Calibration in Large Language Models for Uncertainty Quantification: Affecting Calibration with Conditional Weight Updates. In Proceedings of the Fall AAAI Symposium, Volume 7, Issue 1, November 2025. https://doi.org/10.1609/aaaiss.v7i1.36937
*STAR Scholar Freshman publication
Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu. Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP. November 2025. 10.18653/v1/2025.emnlp-main.813
December 2025
Eric Balkanski, Nick DeFilippis, Vasilis Gkatzelis, Xizhi Tan. Procurement Auctions with Predictions: Improved Frugality for Facility Location. In Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025). December 2025. https://neurips.cc/virtual/2025/loc/san-diego/poster/115675
Robin Bowers, Marius Garbea (Ph.D), Emmanouil Pountourakis, Samuel Taggart. Polynomial-Time Approximation Schemes via Utility Alignment: Unit-Demand Pricing and More. In Proceedings of the IEEE 66th IEEE Symposium on Foundations of Computer Science (FOCS) 2025. December 2025. https://arxiv.org/abs/2506.20030
Edward Kim, Richard Foty, Vicki Seyfert-Margolis. Quantifying the Unstructured Narrative of Patient Care in EHR Data. In Proceedings of the 1st International Conference on Big Data Analytics and Applications (BDAA' 2025). November 2025. PDF.
Rishi Patel, Emmanouil Pountourakis, Samuel Taggart. Repeated Sales with Heterogeneous Buyer Sophistication. In Proceedings of the 21st Conference on Web and Internet Economics (WINE2025). December 2025. https://arxiv.org/abs/2510.13088
Joel Pepper, Fernando Uribe-Romo, Zach Siapno, David Breen, Jacob Furst, Jane Greenberg. From Analog Records to Computational Research Data: Building the AI-Ready Lab Notebook. In Proceedings of the IEEE International Conference on Big Data, IEEE Workshop on Computational Archival Science. December 2025. https://ai-collaboratory.net/wp-content/uploads/2025/12/S13217.pdf
Manil Shrestha, Edward Kim. Efficient Multi-Hop Question Answering over Knowledge Graphs via LLM Planning and Embedding-Guided Search. In Proceedings of the 5th Workshop on Knowledge Graphs and Big Data, IEEE Big Data 2025, December 2025. https://doi.org/10.48550/arXiv.2511.19648
Bahareh Shakibajahromi, Edward Kim, Jane Greenberg, David E. Breen. Metadata and 3D Shape Similarity: Establishing a Ground Truth Dataset. In Proceedings of the International Conference on Metadata and Semantics Research. December 2025.
Journal Manuscripts
Colin S. Gordon. Actor Capabilities for Message Ordering. In: Meseguer, J., Varela, C.A., Venkatasubramanian, N. (eds) Concurrent Programming, Open Systems and Formal Methods: Essays Dedicated to Gul Agha to Celebrate His Scientific Career. Lecture Notes in Computer Science, Vol 16120. Springer, Cham. 2026. Online September 2025.
https://doi.org/10.1007/978-3-032-05291-9_3
Levi Kapllani Maharaj, Chelsea Amanatides, Genevieve Dion, Vadim Shapiro, David E. Breen. Topology, Integrity, and Stability Analysis of Weft-knitted Textiles. Textile Research Journal, Vol. 95, No. 19-20, pp. 663-685. October 2025. https://doi.org/10.1177/00405175241306133
Ramtin Ehsani, Sakshi Pathak, Esteban Parra Rodriguez, Sonia Haiduc, Preetha Chatterjee. What Characteristics Make ChatGPT Effective for Software Issue Resolution? An Empirical Study of Task, Project, and Conversational Signals in GitHub Issues. Empirical Software Engineering (EMSE), Vol. 31, Article No. 22. Online November 2025. https://doi.org/10.1007/s10664-025-10745-8
Daniel Schwartz, Atieh Armin, Ali Shokoufandeh, Masoud Soroush. Enhanced iCVD Reactor Optimization through Convexified Attention Networks: Improving Liquid Repellency in Fluoropolymers. Journal of Machine Learning Engineering, Vol. 1, No. 1. Online December 2025. https://doi.org/10.1088/3049-4761/ae1bac
Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee. Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review. Information and Software Technology (IST), Vol. 189, January 2026. https://doi.org/10.1016/j.infsof.2025.107913
Papers Accepted for Publication
Phone Kyaw, Kshitij Kayastha, Shahin Jabbari. Optimal Robust Recourse with L^p-bounded Model Change. To appear in Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning (SATML) 2026, March 2026.
Renxiang Wang, Li Zhang. Documentation Retrieval Improves Planning Language Generation. To appear in Proceedings of the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics.