Francesca RodinoExpertise
Electrochemical BiosensorsSensors and Biosensors interfaces | front-end electronicsBiomedical circuits and systems
RechercheOther Tavakolidakhrabadi, A., Domange, T., Nalm, C., Rodino, F., Meimandi, A., Bessire, C., & Carrara, S. (2024). A Novel Microfluidic System for Capacitive Detection via Magnetophoretic Separation of Malaria-Infected Red Blood Cells. IEEE Sensors Letters. DOI: 10.1109/LSENS.2024.3451238Barbruni, G. L., Rodino, F., Ros, P. M., Demarchi, D., Ghezzi, D., & Carrara, S. (2024). A
Junrui ChenJunrui Chen was born in 1995 in Jinhua, China.
He achieved his BSc. in mechanism and its automation from Beihang University(BUAA), Beijing in 2017. Meanwhile, he also gets a second degree in Business administration and management. He graduated with MSc. at Karlsruhe Institute of Technology (KIT), Germany in 2021, majored in medical technology (IBT, Instituts für Biomedizinische Technik) and Biomems technology (IMT, Institute of Microstructure Technology).
In March 2022 he joined Integrated Circuits Laboratory (ICLAB) at EPFL and is currently pursuing his Ph.D. in Microsystems and Microelectronics under the supervision of Prof. Sandro Carrara. His current research field is based on silicon memristive nanowire, which is a cross-discipline project supported by expertise in Microstructure technology, promoted by a solid background in Machinery and Electronics, and supplemented by programming skills.
Ali MeimandiExpertise
Research interests:Analog and digital circuit designBiomedical circuits and systems
Ali Meimandi received B.Sc degree in electrical engineering from Amirkabir University of Technology(Tehran Polytechnic), Tehran, Iran, and M.Sc. degree in electronic engineering from Politecnico di Milano, Milan, Italy, in 2018 and 2022, respectively. He is a Research Assistant and doctoral candidate in the BioCMOS Interfaces(BCI) Laboratory at école Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.His res
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Gloria PorroExpertise
Microfluidics; point-of-care diagnostics; lab-on-chip; bioanalytics; bead-based assays; dielectrophoresis; particle sorting; deterministic lateral displacement.
Current work
Currently developing micro-electromechanical actuators for microparticle manipulation in microfluidics. We are exploiting regular arrangements of three-dimensional electrodes in microchannels as active modules to perform complex bioanalytical steps in a lab-on-chip compact and automatized format. In particular, we aim at apply
Mohammad Ali ShaeriExpertise
Neural Engineering, Neural Signal Processing, Neural Decoding, Neural Prosthesis, Brain Machine Interface
