Education
We provide training for students in the field of electronics, biosensors, computer simulation, and data analytics. Examples include, but not limited to, the following:
Electronic Circuit Design
Analog/digital CMOS integrated circuit design using industry standard computer-aided-design tools such as Virtuoso (Cadence), HSPICE (Synopsys), Calibre (Mentor).
Electronic circuit systems built with commercially-available discrete ICs and modules such as Raspberry Pi, Arduino Uno, etc.
Electrochemical Biosensing
Development of sensors for medical, phermatheutical, biological, and chemical applications based on electrochemical impedance, current, and potential methods.
Multiphysics Simulation and Modeling
Computer simulation of physical/chemical/biological systems using commercially-available finit-element-method tools such as COMSOL Multiphysics.
Mathematical modeling of the above mentioned systems using equations, Python, Matlab, and Mathematica.
Data Analytics
Data analytics based on descriptive statistical analysis and machine learning algorithms using Python, Scikit-learn, TensorFlow, etc.