Massachusetts
Dr. Morteza Zabihi is a biomedical engineer and scientist whose work bridges advanced machine learning with practical clinical applications in neurology and critical care. They serve as Associate Director of the Mass General Brigham (MGB) NeuroAI Center and as an Instructor at Harvard Medical School. Their research focuses on data-driven methods to improve patient care, particularly in acute brain injury and cardiac arrest.
Across academia and industry, Dr. Zabihi has developed clinically relevant algorithms for seizure detection, cardiac anomaly identification, and early prediction of sepsis in critically ill patients. They design studies that leverage biosignals to detect treatment responsiveness after subarachnoid hemorrhage, automate intracranial pressure waveform processing, and develop EEG-based techniques to predict coma recovery. They are also a national educator in the NIH AIM-AHEAD program and regularly teach and mentor trainees in robust, trustworthy AI methods for neurocritical care.
Trimodal CNN Fusion for Robust Automated Seizure Detection
Monday, March 23, 2026
2:30 PM - 3:30 PM Central Time
Disclosure(s): No relevant financial relationship(s) to disclose.
