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Mahsa Shoaran

mahsa.shoaran@epfl.ch +41 21 693 77 75 https://www.epfl.ch/labs/inl/

EPFL STI IEL INL
H4 3 132.090 (Campus Biotech batiment H4)
Ch. des Mines 9
1202 Genève

Mahsa Shoaran is an Associate Professor in Electrical and Micro Engineering and NeuroX Institutes of EPFL, and director of the Integrated Neurotechnologies Laboratory. From 2017 to 2019, she was an Assistant Professor at the School of Electrical and Computer Engineering at Cornell University, Ithaca, NY, and a Postdoctoral Fellow at Caltech from 2015 to 2017. She received her PhD from EPFL in 2015 and her B.Sc. and M.Sc. from Sharif University of Technology. Her research interests broadly include circuit, system, and algorithm design for diagnostic and therapeutic applications. Mahsa is a recipient of the 2021 ERC Starting Grant, the 2019 Google Faculty Research Award in Machine Learning, the Swiss NSF Postdoctoral Fellowships, and the NSF Award for Young Professionals Contributing to Smart and Connected Health. She was named a Rising Star in EECS by MIT in 2015. She is a member of TPC for IEEE CICC and the SRP committee for ISSCC.

Teaching & PhD

Current Phd

Alin Thomas Tharakan, Daney Alex, Yiheng Fu, Jiahuai Fan, Jinhan Liu, Jieun Joo, Yasemin Engür, Arshia Afzal, Huanshihong Deng, Amirmahdi Joudi, Cong Huang, Negin Safari, Yuhan Xie, Arnau Diez Clos, Amitabh Yadav, Xiaoyong Ni, Arya Jalali

Past Phd As Director

Cong Ding

Courses

Advanced analog integrated circuit design

EE-523

Introduction to advanced topics in analog and mixed-signal CMOS circuits at the transistor level. The course will focus on practical aspects of IC design, quantitative performance measures, and design trade-offs to develop an intuitive understanding of circuit behavior.

Analog IC design

EE-320

Introduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures.

Neural interfaces

NX-422

Neural interfaces (NI) are bioelectronic systems that interface the nervous system to digital technologies. This course presents their main building blocks (transducers, instrumentation & communication), reviews current and upcoming materials and technological solutions for implantable & wearable NI

PhD Programs

Doctoral Program in Electrical Engineering
Doctoral Program in Microsystems and Microelectronics
Doctoral Program in Computer and Communication Sciences
Doctoral Program in Photonics

Teaching

Electrical Engineering
Neurotechnology

Courses