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2313D Computer Science, Stony Brook, NY 11794-8330
Email: fusheng  wang  stonybrook edu
Phone: (631)632-2594
- Scalable Big Data Management and Analytics
- Spatial and Temporal Data Management and Analytics
- Medical Imaging Informatics
- Healthcare and Public Health Data Analytics
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I am an Associate Professor at Department of Biomedical Informatics and Department of Computer Science
at Stony Brook University. I received my Ph.D. in Computer Science from University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University, China.
Prior to joining Stony Brook University, I was an assistant professor at Emory University.
I was a research scientist at Siemens Corporate Research (Princeton, NJ) before joining Emory University.
My research covers Spatial Big Data Management, GIS, Medical Imaging Informatics, AI in Healthcare, Population Health and Opioid Epidemic Research.
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We have advanced projects (CSE523/524) and directed studies (CSE593) for motivated students, including big data management, 3D digital pathology imaging/computer vision,
AI for opioid epidemic research, and human computer interaction (EyeCanDo). The list of projects can be found at
project ideas.
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We are working on using large scale electronic health records for opioid epidemic research. Some recent preliminary results are published as follows.
We also explore social media to understand the opioid epidemic. Read our recent work on machine learning based detection of suicidality among opioid users on Reddit.
Sina Rashidian was awarded the Young Academics Inventor's Award from Stony Brook University Chapter of the National Academy of Inventors, for his inventions of software
for gaze tracking and geocoding healthcare data
2021 NAI Member Induction Ceremony
 Applications due: March 31, 2021.
For more information, please visit CSIRE website.
How can blockchain empower healthcare? Read our work on building blockchain enabled EHR sharing platform for improving cancer care.
Lack of mobility and communication due to disability seriously limits the personal freedom of ALS patients and can lead to a low quality of life.
The progressive loss of independence and connection to the world affects them and their caregivers physically, emotionally, socially, and spiritually.
EyeCanDo is an eye gaze-based technology built on top of Apple smart devices (iPad and iPhone) to enable communications for ALS patients.
The project is in collaboration with Dr. Xiaojun Bi.
App Leverages Eye Movement to Assist ALS Patients
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