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
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
Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
Arman MaghsoudniaEducation Electrical Engineering | 2018 – 2023 Sharif University of Technology
Teaching & PhDCOM-405 | Mobile networks This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging.COM-304 | Intelligent systems: communications & AI The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundati
Gian Luca BarbruniGian Luca Barbruni achieved his BSc and his MSc in Biomedical Engineering with specialisation in Biomedical Instrumentation at the Politecnico di Torino in 2017 and 2019, respectively.During his master thesis, supervised by Prof. Danilo Demarchi from Politecnico di Torino and titled “Body Dust: Feasibility study on signal transmission for sub-100μm-size active wireless biosensors”, he spent a semester of research at Integrated Circuit Laboratory (ICLAB) of Neuchâtel under the supervision of Prof. Sandro Carrara from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He discusses about the feasibility on creating an UltraSound (US) communication circuit to wirelessly transmit outside the body diagnostic information from multiplexed biosensors chip built on the top layer of a drinkable CMOS “Body Dust” cube. The results of the feasibility study have been published showing promising results with sub-10 µW of power consumption and a total chip area of 43 x 44 µm2.He was a Research Assistant at the Department of Electronic Engineering (DET) of Politecnico di Torino.Actually he is conducting his PhD focusing on design and fabrication of analog and digital circuits for ultra-miniaturized CMOS for vision prosthesis, directed by Prof. Diego Ghezzi at Medtronic Chair in Neuroengineering in Geneva and co-directed by Prof. Sandro Carrara at ICLAB in Neuchâtel.
Haitham Al HassaniehEnseignement et PhD Doctorant·es actuel·les Eduard Vlad, Raphael Cannatà, Arman Maghsoudnia, Jiachen Lu, Samah Hussein Youssef, Hailan Zhang Shanbhag, Aoyu Gong Cours Intelligent systems: communications & AI COM-304 Le cours enseigne le développement de systèmes permettant de résoudre des défis réels en communication, traitement du signal, modèles fondamentaux et intelligence artificielle. Les étudiants travailleront en équipe, concrétiseront leurs idées et programmeront soit des prototype
Amir Mohsen Ahmadi NajafabadiExpertise
Antennas, Millimeter waves, 5G Communication, Computational Electromagnetics, Bio-electromagnetics
Web-Page
https://aahmadi.ch/
Amir Mohsen Ahmadi Najafabadi was born on August 1995, in Iran. He is currently a Ph.D candidate at EPFL (école Polytechnique Fédérale de Lausanne) & Switzerland. He is working under the supervision of Prof. Anja Skrivervik at the MAG Lab of EPFL. He received his Master of Science (M.Sc.) degree in the Electronics Engineering Program from Sabanci University & Turkey and h Anat SiddharthExpertise
Nonlinear Optics, Integrated Photonics, Frequency Comb, Nonreciprocity
Research Interest Nonlinear Optics, Integrated Photonics, Frequency Comb, Nonreciprocity
Mohammad Ali ShaeriExpertise
Neural Engineering, Neural Signal Processing, Neural Decoding, Neural Prosthesis, Brain Machine Interface
