• Piya, F.L. & Beheshti, R.. (2025). ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs. Proceedings of the 10th Machine Learning for Healthcare Conference, in Proceedings of Machine Learning Research 298. 
• Adiba, F. I., & Beheshti, R. (2025). Tell Me You’re Biased Without Telling Me You’re Biased–Toward Revealing Implicit Biases in Medical LLMs. arXiv preprint arXiv:2507.21176.
• Gupta, M., Eckrich, D., Bunnell, H. T., Phan, T. L. T., & Beheshti, R. (2024). Reliable prediction of childhood obesity using only routinely collected EHRs may be possible. Obesity Pillars, 12, 100128.
• Poulain, R., & Beheshti, R. (2024). Graph transformers on EHRs: Better representation improves downstream performance. In The Twelfth International Conference on Learning Representations.

Postdoc – Johns Hopkins Bloomberg School of Public Health, 2015-18.

Ph.D. – Computer Science, University of Central Florida, 2011-15.

M.Sc. – Artificial Intelligence, Iran University of Science and Technology, 2008-11.

B.Sc. – Computer Software Engineering, Kharazmi University (fun fact), 2004-08.

Advanced Deep Learning (CISC 889) – Spring (2023 and 24).

Artificial Intelligence (CISC 481/681) – Fall (2018, 19, 20, 21, 22, 23, & 24) and Spring (2019, 20, 21, & 22).

Data Mining (CISC 483/683) – Fall 2022 and Spring 2022 & 25.

Human-Centered AI (CISC 889) – Spring 2021.

Complex Systems & Obesity (340.738.11) – Summer 2016 and 15, Johns Hopkins Bloomberg School of Public Health.

Systems Science and Obesity – MOOC on Coursera

Panelist

• CRA Undergraduate Research Awards Committee, 2022 — 25.
• Swiss National Science Foundation (SNSF) , 2020 & 25.
• Royal Society of New Zealand, 2025. 
• NSF Focused EPSCoR Collaborations, 2025
• NSF Smart Health Panel, 2024.
• German Academic Exchange Service (DAAD), 2024.
• NSF SBIR/STTR Panel, 2020.
• NSF III SMALL Panel, 2020.
• Government of Canada’s Strategic Science Fund, 2022.

Program Committee

(PC members in top-tier CS conferences generally review 5-10 full papers in each round.)

• AAAI – Association for the Advancement of Artificial Intelligence, 2024, 22, 21, 20 & 14.
• AAMAS – Autonomous Agents and Multi-Agent Systems, 2021, 19, 18, 17 & 16.
• AMIA – American Medical Informatics Association, 2019 onwards.
• BCB – Bioinformatics, Computational Biology, and Health Informatics, 2021 onwards.
• IJCAI – International Joint Conferences on Artificial Intelligence, 2020, 19, 17 & 15.
• ICLR – International Conference on Learning Representations, 2025 onwards.
• ICML – International Conference on Machine Learning, 2025.
• CCS – Conference on Complex Systems, 2020, 19, 18 & 17.
• CHIL – Conference on Health, Inference, and Learning, 2021 onwards.
• MLHC – Machine Learning for Healthcare, 2021 onwards.
• ML4H – Machine Learning for Health 2024 onwards.
• NeurIPS – International Conference on Neural Information Processing Systems, 2025.

Reviewer 

• American Journal of Epidemiology
• Appetite
• BMC Medical Informatics and Decision Making
• International Journal of Behavioral Nutrition and Physical Activity
• International Journal of Computer Assisted Radiology and Surgery
• International Journal of Medical Informatics
• IEEE/ACM Transactions on Computational Biology and Bioinformatics
• Journal of AI and Society
• Journal of Autonomous Agents and Multi-Agent Systems
• Journal of Physical Activity & Health
• Journal of Medical Internet Research
• Journal of Nutrition
• Lancet Digital Health
• npj Digital Medicine
• Pattern Recognition Letters
• Patterns
• Symmetry