Arriel Benis

Biomedical Engineering

Adjunct Associate Professor in the Department of Biomedical Engineering

Arriel Benis Profile Photo
Arriel Benis Profile Photo

Research Interests

Dr. Arriel Benis's research integrates artificial intelligence (AI), biomedical and health informatics (BMHI), digital health, data science, and biomedical engineering (BME) to address critical challenges in healthcare and biomedical discovery. His work focuses on developing data-driven methods that improve population health, advance precision medicine, and support sustainable healthcare systems. His research spans four primary areas: AI and Predictive Modeling, Biomedical Informatics and Digital Health, One Digital Health and Sustainability, and Education and Workforce Development.

AI and Predictive Modeling: Dr. Benis develops predictive models and clinical decision-support systems through the analysis of large-scale clinical, biomedical, and social datasets. His work emphasizes data interoperability and adherence to FAIR (Findable, Accessible, Interoperable, Reusable) data principles. These approaches enable the development of intelligent systems for predicting disease progression, optimizing treatment strategies, and supporting personalized patient care.

Biomedical Informatics and Digital Health: His research integrates heterogeneous data sources—including electronic health records (EHRs), patient-reported surveys, wearable sensors, and digital communications—to improve clinical workflows and support patient-centered digital health innovation. This work facilitates multicenter studies, advances knowledge discovery, and informs healthcare policy while promoting innovation in biomedical and health informatics.

One Digital Health (ODH) and Sustainability: Dr. Benis advances the One Digital Health framework, which links One Health and Digital Health to address complex global health and environmental challenges. His work develops integrated strategies that combine digital health technologies with environmental monitoring to support climate-responsive, sustainable healthcare systems.

Education and Workforce Development: Dr. Benis contributes to strengthening the biomedical workforce through interdisciplinary training in AI, informatics, and digital health. He leads international educational initiatives, including the MIMO (Medical Informatics and Digital Health Multilingual Ontology) project, aimed at developing the next generation of researchers and practitioners in biomedical data science and digital health.

Bio

Dr. Arriel Benis is a researcher and educator working at the intersection of medical informatics, digital health, and artificial intelligence, advancing health systems and biomedical engineering innovation. His work leverages AI, data science, and knowledge management to improve health-related decision-making at the individual, population, and public health levels.

His research focuses on developing data-driven healthcare solutions that enhance patient care, optimize clinical processes, and promote sustainable systems. Dr. Benis has engineered (a) clinical decision support systems with direct patient and healthcare partitioners impact such as ADHD, PTSD, and diabetes patient management and health communication, (b) MIMO -the Medical Informatics and Digital Health Multilingual Ontology- integrating more than 3500 terms and concepts across 30+ languages, actively deployed in healthcare organizations for AI-powered training and international projects support, (c) smart home and smart city health monitoring approach from a One Health viewpoint. Dr. Benis is a pioneer of the One Digital Health framework, which strategically links digital health innovation with environmental monitoring.

His past academic positions include serving as a department head and track director in biomedical and health informatics. He holds various leadership roles in the international medical informatics community, is a fellow of the International Academy for Health Sciences Informatics, and is the Editor-in-Chief of JMIR Medical Informatics. Dr. Benis is committed to training the next generation of innovators in digital health and medical informatics.

Education

  • Ph.D. University of Paris (France), 2009

Positions

  • Adjunct Associate Professor in the Department of Biomedical Engineering

Awards, Honors, and Distinctions

  • Senior Member . Institute of Electrical and Electronics Engineers (IEEE). 2026
  • Full Membership. Sigma Xi, The Scientific Research Society. 2025
  • Fellow. International Academy for Health Sciences Informatics. 2024

Courses Taught

  • BME 790L: Advanced Topics with the Lab for Graduate Students in Biomedical Engineering
  • BME 790: Advanced Topics for Graduate Students in Biomedical Engineering

Publications