Aditya Khan, Lin Wang, Juxin Liu, and Momiao Xiong. 2026. Dynamics of an SEIRV endemic model: effects of reinfection. Journal of Biological Dynamics, 20(1), Article 2713881. https://doi.org/10.1080/17513758.2026.2713881
Luke Zhang, Justin Vasselli, Aditya Khan, York Hay Ng, and En-Shiun Annie Lee. 2026. Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation. In Proceedings of the Association for Computational Linguistics (ACL) Student Research Workshop 2026.
Md Arid Hasan, Azhagu Meena SP, Aditya Khan, Abu Md Akteruzzaman Bhuiyan, Helal Uddin Ahmed, Joysree Debi, Farig Sadeque, En-Shiun Annie Lee, and Syed Ishtiaque Ahmed. 2026. Enhancing Mental Health Counseling Support in Bangladesh using Culturally-Grounded Knowledge. In Proceedings of the CLPsych Workshop 2026 at ACL 2026.
Mason Shipton, York Hay Ng, Aditya Khan, Phuong Hanh Hoang, Xiang Lu, A. Seza Dogruoz, and En-Shiun Annie Lee. 2026. Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+. In Proceedings of the Language Resources and Evaluation Conference (LREC) 2026.
York Hay Ng*, Aditya Khan*, Xiang Lu*, Matteo Salloum, Michael Zhou, Phuong Hanh Hoang, A. Seza Dogruoz, and En-Shiun Annie Lee. 2026. Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+. In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL) Student Research Workshop 2026.
Aditya Khan, Mason Shipton, David Anugraha, Kaiyao Duan, Phuong H. Hoang, Eric Khiu, A. Seza Doğruöz, and En-Shiun Annie Lee. 2025. URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base. In Proceedings of the 31st International Conference on Computational Linguistics, pages 6937–6952, Abu Dhabi, UAE. Association for Computational Linguistics.
Amane Takeuchi, Aditya Khan, Phuong Hoang, Jian Yun Zhuang, Mariana Shimabukuro, Randy J. Fortier, Michael Miljanovic, and En-Shiun Annie Lee. 2024. A Faculty Initiative Addressing Gender Disparity at a Small STEM-Focused University: A Case Study. In Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 1 (SIGCSE Virtual 2024). Association for Computing Machinery, New York, NY, USA, 200–206. https://doi.org/10.1145/3649165.3690102
Pavlos Constas, Vikram Rawal, Matthew Honorio Oliveira, Andreas Constas, Aditya Khan, Kaison Cheung, Najma Sultani, Carrie Chen, Micol Altomare, Michael Akzam, Jiacheng Chen, Vhea He, Lauren Altomare, Heraa Muqri, Asad Khan, Nimit Amikumar Bhanshali, Youssef Rachad, Michael Guerzhoy. 2024. Toward A Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency. In Proceedings of the Machine Learning for Cognitive and Mental Health Workshop (ML4CMH), AAAI 2024.
Contributed Talk at SSC Annual Meeting 2026, Hamilton, Ontario, Canada
Contributed Talk at Canadian Statistics Student Conference (CSSC) 2026, Hamilton, Ontario, Canada
Contributed Talk at SIGTYP 2026: The 8th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, Rabat, Morocco
Contributed Talk at European Chapter of the Association for Computational Linguistics (EACL) Student Research Workshop 2026, Rabat, Morocco
Poster at Applied Research in Action (ARIA) Showcase 2025, Toronto, Canada
Contributed Talk at The Third Joint SIAM/CAIMS Annual Meetings (AN25), Montreal, Canada
Contributed Talk at SSC Annual Meeting 2025, Saskatoon, Canada
Contributed Talk at Canadian Statistics Student Conference (CSSC) 2025, Saskatoon, Canada
Contributed Talk at Trinity College Undergraduate Research Conference (TCURC) 2025, Toronto, Canada
Contributed Talk at International Conference on Computational Linguistics (COLING) 2025, Abu Dhabi, UAE
Contributed Talk at ACM Virtual Global Computing Education Conference (SIGSCE Virtual) 2024, Virtual