Algorithms in Medicine and Neuro-Technology Lab

(AIMAN Lab)

Algorithms in Medicine and Neuro-Technology Lab

Highlights

Dr. Bighamian presented in The Center for Adaptive Systems of Brain-Body Interactions (CASBBI).

The paper on "Modeling Functional Dependencies in High-Dimensional Spike-Field Activity" is presented at Society for Neuroscience 2018.

The paper on "Functional Dependence Estimation in Multiscale BMI" is presented at IEEE-EMBC 2018.

The paper on "Physiological Modeling of Hemodynamic Responses to Blood Volume Perturbation" is now published at Control Engineering Practice.

The paper on "Closed-Loop Fluid Resuscitation" is now published online at IEEE TBME.

The paper on "Adaptive Control of Medications with Excitatory Dose-Dependent Effects" is now published online at IEEE TCST.




Welcome to the AIMAN Lab!

The Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) is affiliated with the ME Department at George Mason University and pursues fundamental breakthroughs in biomedical cyber-physical systems. The labís primary research focuses on application of mathematical modeling, controls and estimation theory, and machine learning in health information technology including decision support and automated care systems (ACS), with the intention of improving the quality of healthcare, as well as brain-computer interfaces (BCI) to bring neuro-enhancements to the daily consumer.

Open Positions

We are recruiting PhD students and postdoc scholors with strong background in controls and machine learning. Interested candidates with passion in healthcare and neuroscience should contact rbighami@gmu.edu.