| 2026 | EACL | How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains. | Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi |
| 2025 | AAAI | Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. | Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture |
| 2025 | AAAI | Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. | Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi |
| 2025 | EMNLP | Calibrating LLM Confidence by Probing Perturbed Representation Stability. | Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi |
| 2025 | ICASSP | An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. | Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai |
| 2025 | ICASSP | GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. | Niloufar Eghbali Zarch, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi |
| 2022 | ICASSP | Feature Imitating Networks. | Sari Saba-Sadiya, Tuka Waddah AlHanai, Mohammad M. Ghassemi |
| 2021 | EMNLP | Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. | Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni |
| 2021 | EMNLP | SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. | Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi |
| 2021 | HCOMP | Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. | Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai |
| 2020 | WSDM | SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. | Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville |
| 2018 | AAAI | Personalized Medication Dosing Using Volatile Data Streams. | Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati |
| 2018 | Interspeech | Detecting Depression with Audio/Text Sequence Modeling of Interviews. | Tuka Al Hanai, Mohammad M. Ghassemi, James R. Glass |
| 2014 | AMIA | Big Data for Critical Care with Cloud-based In-Memory Database. | Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark |
| 2014 | KDD | Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data. | Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark |