Scholar
Iman Azimi
Google Scholar ID: UOo7FhUAAAAJ
Thrive AI Health
Citations & Impact
Citations
4,177
H-index
30
i10-index
54
Publications
20
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Author of more than 70 peer-reviewed publications, both in medical and technological venues.
- - Co-creator of openCHA, a foundational Large Language Models (LLMs)-powered framework, enabling Conversational Health Agents (CHAs) to deliver effective healthcare services, including patient support, health coaching, and promoting patient self-awareness.
Research Experience
- - Research areas span Artificial Intelligence, Internet of Things, health data analytics, large language models, wearable electronics, fog computing, and digital health.
- - Focused on developing data analysis methods for biomedical signals, e.g., photoplethysmogram (PPG) and electrocardiogram (ECG).
- - Developed personalized machine-learning-based health data analytic techniques (e.g., CNN-, LSTM-, and GAN-based), application of LLMs in healthcare, anomaly event detection methods for longitudinal / multivariate data, and signal quality assessment techniques.
- - Collaborated with multidisciplinary teams at the University of California Irvine, Stanford University, iHealth Labs, University of Turku, Vienna University of Technology, and Silo AI, among others.
Education
- No specific educational background information provided.
Background
- Identifying myself as an expat has largely shaped my personality, perspective, and aspiration. Over the past 10 years, I have garnered extensive expertise in research, coding, mentoring, and fostering collaborations with diverse academic and industrial partners in Europe and the U.S. This multifaceted experience allowed me to learn a robust problem-solving approach to face challenges at work, including three fundamental steps: understanding and visualizing problems quickly, developing and implementing innovative solutions, and evaluating and optimizing the outcomes. This strategy has been pivotal in my professional success and personal development. I continuously developed my skills and stayed up-to-date with the latest advancements in computer science, biomedical engineering, and digital health.
Miscellany
- - Developed coding skills (mostly in Python since 2015) by taking an active role in different projects including health data collection (e.g., PPG and ECG) and wearable- and cloud-based health data analysis techniques.
- - Experience in programming also includes developing wearables apps in C and mobile apps using Kotlin.
- - Served as an advisor to master’s and Ph.D. students, focusing on the development of AI solutions for healthcare applications.
- - Taught two courses, “Acquisition and Analysis of Biosignals” and “Biosignal Analytics,” for three years, where I taught the fundamentals of signal processing and machine learning techniques used for biomedical signals and health data analysis.
