FA 
EN-US Saman Parvaneh
Data Science & AI Leader
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Based in United States
Profile
I'm a cross-functional AI leader with 15+ years of experience building enterprise AI, machine learning, biomedical signal processing, and physiological monitoring solutions for regulated healthcare and medical technology.
Measured Impact
40+
AI Solutions
150+
FTE-days/year Gained
20+
Patents
80+
Publications & Presentations
Education
Healthy Brain Research Network, CDC Aging and Cognition Scholar
Research focus: assistive technology and wearable sensors for supporting older adults and people with cognitive impairment.
News & Updates
Selected Speaking, Publications & Milestones
Recent Updates
- November 2023: Invited speaker, Deep Learning in Healthcare & Pharma Summit, Boston, MA.
- October 2023: Presented two articles and chaired one session at Computing in Cardiology 2023.
- April 2023: Invited speaker, 47th Annual Scientific Conference of the International Society for Computerized Electrocardiology, Indian Wells, CA.
- September 2022: Presented three articles and chaired one session at Computing in Cardiology 2022.
- September 2021: Presented two articles and chaired a special session on cardiac autonomic nervous system, heart rate response, recovery after activity, and wearable sensors for frailty assessment at Computing in Cardiology 2021.
- December 2020: Paper published: Frailty and Heart Response to Physical Activity.
- October 2020: Paper published: Pervasive Lying Posture Tracking.
- March 2020: Papers published on post-operative atrial fibrillation prevention and motor function uncertainty in cognitive impairment.
- January 2020: Joined Edwards Lifesciences as Principal Data Scientist.
Earlier Highlights
- 2019: Presented five articles at Computing in Cardiology; won second place in the PhysioNet/Computing in Cardiology Hackathon; published Cardiac Arrhythmia Detection using Deep Learning: A review.
- 2018: Invited speaker at MIT IEEE URTC; presented at Computing in Cardiology; published papers in Journal of Electrocardiology and Physiological Measurement; awarded a Department of Veterans Affairs grant.
- 2017: Presented seven articles at Computing in Cardiology; invited speaker at the Deep Learning in Healthcare Summit; published wearable technology and frailty work in Journal of Gerontology.
- 2016: Won first prize in the PhysioNet/Computing in Cardiology Challenge; presented three articles at Computing in Cardiology; published surgical stress work in Journal of Trauma and Acute Care Surgery; awarded a Department of Veterans Affairs grant.
Research Interests
Biomedical Signal Processing & Modeling
Computational methods for interpreting physiological signals and modeling biomedical systems.
Body-Worn Sensor Algorithms
Algorithms for wearable sensors, including accelerometer, gyroscope, pressure sensor, and ECG monitoring data.
Affective Computing from Biosignals
Emotion and stress assessment using physiological signals such as heart rate and heart rate variability.
Outcome Evaluation
Objective evaluation of gait, balance, physical activity, and physiological response in real-world and clinical contexts.
Clinical Decision Support
Predictive models and clinical decision support systems that translate data into actionable healthcare insight.