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Yumna Anwar

Welcome! I'm Yumna Anwar, a Ph.D. candidate in Computer Science at the University of Iowa, advised by Dr. Octav Chipara and part of the Mobile Systems Laboratory. My focus is on deep learning and the development of intelligent systems. My academic and professional journey has been dedicated to exploring how advanced computational techniques can address real-world challenges, particularly in health care. 

This webpage offers a glimpse into my journey and contributions in the field of computer science—highlighting my projects, publications, and the vision I hold for a future where technology and healthcare seamlessly intersect. Whether you're a colleague, a potential collaborator, or simply curious about the transformative potential of computer science in the health sector, I hope you find inspiration and insight here.

Published Papers

  • Audio-Based Cough Detection in Clinic Waiting Rooms. In 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)
  • Personalizing over-the-counter hearing aids using pairwise comparisons. Smart Health, 23
  • Robots in healthcare: A survey. In Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC)
  • Wearable sensors and a multisensory music and reminiscence therapies application: To help reduce behavioral and psychological symptoms in person with dementia

My YouTube Videos



My Medium Articles

  • Client-Side Audio Stream Cache Reload in Node.js and React
  • Enhancing the Facebook Demucs-based Denoiser: Incorporating Learning Rate Warm-Up

yumna-anwar@uiowa.edu