MSc students

Current

2024

Misha Bergman

  • MSc Biomedical Engineering

Ryan Houtman

  • MSc Microelectronics

Eduardo Aceves Alfaro

  • MSc Biomedical Engineering

Joris de Koning

  • MSc Microelectronics

Malina Gaspar

  • MSc Biomedical Engineering

Yanshan Peng

  • MSc Biomedical Engineering

Kainan Zhang

  • MSc Microelectronics

ANAND ALUR RADHAKRISHNAN

  • MSc Microelectronics

Yuhan Cheng

  • MSc Microelectronics
  • IMEC

Mostafa Khaled Elboushi

  • MSc Microelectronics

Zeyao Huang

  • MSc Microelectronics

Rajvi Lawande

  • MSc Microelectronics

David Van der Laan

  • MSc Microelectronics

Yuan Yao

  • MSc Biomedical Devices, MSc Microelectronics

Mingyang Zhang

  • MSc Microelectronics

Danny Ferreira Dias

  • MSc Microelectronics

Karolis Navikas

  • MSc Microelectronics

Dario van Wagensveld

  • MSc Biomedical Engineering

2023

Maria Camarena

  • MSc Biomedical Engineering

Arnau Diez Clos

  • MSc Microelectronics

Amar Kohabir

  • MSc Microelectronics

Beatriz Lafuente Alcazar

  • MSc Microelectronics

Nerea Alvarez de Eulate Llano

  • MSc Biomedical Engineering

Rui Mao

  • MSc Microelectronics

Robbert Friendwijk

  • MSc Microelectronics

Joost Berkelbach van der Sprenkel

  • MSc Biomedical Engineering

Wouter Berendschot

  • MSc Biomedical Engineering

2022

Pablo de Anta Dardagan

  • MSc Biomedical Engineering
  • Fraunhofer IZM, Berlin

Gabriel Turcan

  • MSc Biomedical Engineering

2021

Michael Treffers

  • MSc Embedded Systems

Floortje Volmer

  • MSc Biomedical Engineering

Tushar Sankaran Jaikumar

  • MSc Biomedical Engineering

Tu Hoang

  • MSc Microelectronics
  • Dopple

2020

Andrew Goudswaard

  • MSc Biomedical Engineering

2019

Andy Hoogland

  • MSc Biomedical Engineering

Daniel Versluis

  • Room: EWI HB18.030
  • MSc Microelectronics

Alumni

2024

Cecília Molnár

  • MSc Biomedical Engineering
  • Electro-acoustic heart interface for mapping 3D cardiac electro-mechanical coupling in Arrhythmia

Kutucu Ceren

  • MSc Microelectronics
  • A biodegradalble optical filter and photodetector for monitoring oxygen in living tissue

Inés de los Mozos Vargas

  • MSc Biomedical Engineering
  • Optimization algorithm for visual cortex stimulation

Daniel Laguna

  • MSc Biomedical Engineering
  • Stretchable electronics for in-vitro peripheral nerve studies

Bas Haayen

  • MSc Biomedical Engineering
  • Now: Sonion (Nederland)
  • Failure Mechanisms of balanced arature receivers uder drop and shock loading conditions.

2023

Johan Meyer

  • MSc Microelectronics

Gonzalo León González

  • MSc Biomedical Engineering

Widesh Gahar

  • MSc Microelectronics
  • A Lamb wave-based liquid sensor for biomedical applications

Sabine Josemans

  • MSc Technical Medicine

Jana Marie Späth

  • Now: PhD student at TU Darmstadt (Germany)

Samantha Rice

  • MSc Biomedical Engineering
  • Now: ASML (Netherlands)
  • Graphene with Platinum Nanoparticles for Neural Recording and Stimulation

2022

Patrícia Rodrigues

  • Internship

Niels Burghoorn

Tawab Karim

  • MSc Biomedical Engineering

Yidi Xiao

Sushant Narang

  • MSc Embedded Systems
  • How to identify and leverage Lead Users as a stepping stone to bring Biloq’s user authentication product to market?

2021

Tejal Shinde

  • MSc Biomedical Engineering

Maarten Zijlmans

  • MSc Biomedical Engineering

Hubald Verzijl

  • MSc Technical Medicine

Ishaan Ghosh

Joram van der Velden

Diogo André Dias

  • Erasmus, Internship

Luis del Rio Garcia

  • MSc Biomedical Engineering

Addaguduri Aditya Raman Bharadwaj

  • MSc Microelectronics

Django Brunink

Erik Wirianto

  • MSc Biomedical Engineering
  • Predicting Infections in Preterm Infants with Thermal Imaging Technology

Casper de Bok

  • MSc Biomedical Engineering

2020

Akhil John Thomas

  • MSc Biomedical Engineering

Abhilash Guru Dutt

  • MSc Biomedical Engineering

Corniel Joosse

Shivani Sinha

  • MSc Microelectronics

2019

Areti Sfakianou

  • MSc Biomedical Engineering
  • Now: PhD student, U. Twente (The Netherlands)
  • Functional Characterization of Human iPSC-Derived Neural Networks using MEA Systems for In-Vitro Modeling of Psychiatric Disorders

Andrada Velea

Esther Fridriksdottir

  • MSc Biomedical Engineering
  • A Deep Learning Algorithm for Patient Activity Recognition using a Chest-worn Accelerometer (HealthDot)

Anirudh Kumar Parag

  • MSc Microelectronics
  • ENMOS - Energy Module for Self-Sustainable Wearable Sensors

2018

Dieuwert Mul

Tim Steunebrink

Ali Kaichouhi