Shahriar Noroozizadeh, PhD Student
https://scholar.google.com/citations?user=3mRjov8AAAAJ
I am a PhD student in the Information Systems and Management, advised by Prof. George Chen and Prof. Jeremy Weiss. I also work with Prof. Zachary Lipton as my Machine Learning Department Mentor. My research interest is on interpretable representation learning for temporal data in the healthcare domain. Previously, I received a master’s degree in Machine Learning and a master’s degree in Biomedical Engineering from CMU researching on neuromodulation. Prior to CMU, I earned a Bachelor’s in Engineering Physics with EECS specialization from the University of British Columbia.
Research Interests: Machine Learning for Healthcare, Temporal Representation Learning, Interpretability, Reinforcement Learning
Publications
Temporal Supervised Contrastive Learning with Applications to Tabular Time Series Data
Shahriar Noroozizadeh, Jeremy Weiss, George Chen
AAAI Workshop on Representation Learning for Responsible Human-Centric AI (R2HCAI), 2023ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
Ye Won Byun*, Cathy Jiao*, Shahriar Noroozizadeh*, Jimin Sun*, Rosa Vitiello*
Conference on Computer Vision and Pattern Recognition - Embodied AI Workshop, 2022An end-to-end system for automatic characterization of iba1 immunopositive microglia in whole slide imaging
Alexander D Kyriazis*, Shahriar Noroozizadeh*, Amir Refaee*, Woongcheol Choi*, Lap-Tak Chu*, Asma Bashir, Wai Hang Cheng, Rachel Zhao, Dhananjay R Namjoshi, Septimiu E Salcudean, Cheryl L Wellington, Guy Nir
Neuroinfomatics Journal, 2019