About
Muhammad Aurangzeb Ahmad is a Research Scientist at the Harborview Medical Center. He is also an Affiliate Assistant Professor in the Department of Computer Science at University of Washington (UW) in Bothell. His previous academic appointments were at the Department of Computer Science at University of Minnesota, Center for Cognitive Science at University of Minnesota, and the Indian Institute of Technology – Kanpur. He also has wide experience in applied machine learning across several industries.
Research explainable AI, simulation modeling and machine learning, algorithmic nudging, ai in healthcare, personality emulation
News
| Date | Venue | Details |
|---|---|---|
| 2024/11 | United Nations | I will be in NYC in November to give a talk on the ethics of AI |
| 2024/11 | ACM BCB | I have a paper accepted at ACM BCB (Building Personality-Adaptive Conversational AI for Mental Health Therapy) |
| 2024/10 | Jefferson County Library | I am giving a talk on Grandpa Bot at the Jefferson County Library |
| 2024/09 | Panel @ C[y]pher | I will be a panelist the staging of the Play C[Y]pher in University Heights. The play deals with the issues of digital immortality and family. |
| 2024/08 | AFIT | Gave a talk on Integrating Machine Learning and Complex Systems perspectives on Chronic critical illness at the Air Force Institute of Technology |
Additional news can be accessed at the News page
Latest Publications
- Padthe, Karthik K., Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, and Ankur Teredesai. “Emergency Department Optimization and Load Prediction in Hospitals.” AAAI Fall Symposium 2020 on AI for Social Good, November 13, 2020.Details
- Ming Yuan, Muhammad Aurangzeb Ahmad, Vikas Kumar, and Ankur Teredesai. “Fairness in Classification Parity of Machine Learning Models in Healthcare.” AAAI Fall Symposium 2020 on AI for Social Good, November 13, 2020.Details
- Ahmad, Muhammad Aurangzeb, Ankur Teredesai, and Carly Eckert. “Fairness, Accountability, Transparency in AI at Scale: Lessons from National Programs.” In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 690–90, 2020.Details
- Kovalerchuk, Boris, Muhammad Aurangzeb Ahmad, and Ankur Teredesai. “Survey of Explainable Machine Learning with Visual and Granular Methods beyond Quasi-Explanations.” ArXiv Preprint ArXiv:2009.10221, 2020.Details
- Ahmad, Muhammad Aurangzeb, and Şener Özönder. “Physics Inspired Models in Artificial Intelligence.” In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 3535–36, 2020.Details