Faculty profile
Steven Wang
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a York University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $266,780
Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice.
NSERC · 2019 · Co-investigator
- $275,799
Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice
SSHRC · 2019 · Co-investigator
- $108,000
Statistical Machine Learning for Large High Dimensional Complex Data
NSERC · 2018 · Principal investigator
Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice.
Principal investigators: PillaiRiddell, Rebecca
Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice
Principal investigators: Pillai Riddell, Rebecca R.
Keywords: infant pain assessment; machine learning; artificial intelligence; data fusion; facial behaviour; ECG; oxygen saturation; EEG; parent caregiver
Statistical Machine Learning for Large High Dimensional Complex Data
Principal investigators: Wang, Steven
Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice.
Principal investigators: Pillai Riddell, Rebecca Rita E; Shah, Vibhuti; Wang, Steven X
Keywords: Artificial Intelligence; Data Fusion; Ecg; Eeg; Facial Behaviour; Infant Pain Assessment; Machine Learning; Oxygen Saturation; Parent Caregiver
Statistical analysis of complex data sets
Principal investigators: Wang, Steven
Statistical data mining and information integration
Principal investigators: Wang, Steven
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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