Ridwan Alam

Lecturer

Department
Health Sciences and Technology Program
Technology Areas
Artificial Intelligence (AI) and Machine Learning (ML) / Biomaterials & Bioelectronics: Health Monitoring / Biotechnology: Biomedical Devices & Systems, Sensors & Monitoring
Impact Areas

Background and Experience

Ridwan Alam is a Visiting Scientist at the Research laboratory of Electronics (RLE) in the Massachusetts Institute of Technology (MIT), and a Research Fellow at the Cardiovascular Research Center (CVRC) in the Massachusetts General Hospital (MGH). He received his PhD in Electrical Engineering from the University of Virginia, after acquiring his MS in ECE from the University of Oklahoma and his BS in EEE from Bangladesh University of Engineering and Technology. Ridwan’s research contributions and interest span the broad area of signal processing and machine learning for health applications; including areas such as HealthAI, Smart and Connected Health, Biomedical Health Informatics, and Digital Health. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE Engineering in Medicine and Biology Society (EMBS), and Association for Computing Machinery (ACM). His current research is focused on inferring physiological and behavioral health parameters from non-invasive sensing modalities toward designing systems for clinical decision making.

Technologies

Method and Apparatus for Inferring Elevated Pulmonary Capillary Wedge Pressures from Single-Lead Electrocardiogram Telemetry Data

Technology, Software / Case number: #23955J
Daphne Schlesinger / Ridwan Alam / Eugene Pomerantsev / Collin M Stultz
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Biomaterials & Bioelectronics / Biotechnology
Impact Areas: Healthy Living
License

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