Ali Meimandi

Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits.

His educational background includes:

• M.Sc. in Electronics Engineering from Politecnico di Milano (2022)
• B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018)

Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies.

His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation.

Key recognition includes:

• 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat'

As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors.

The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.