André Cunha

www.andrebcunha.com


I currently work as a Software and Embedded Systems Engineer for cutting edge biomedical and neuroscience applications. 

Academic interests

Electronic applications for Biomedical Engineering, Embedded Systems, Mobile Technologies, Software Engineering, Biophysical Properties and Simulation in Neuroscience, Bioimpedance.

Previous interests in Photonics and Optical Communications. 

Background

BSc and MSc in Engineering Physics at the Instituto Superior Técnico, Lisboa, Portugal and Post-Grad in Applied Software Engineering at the Athlone Institute of Technology, Ireland. Experience as Full Stack Java Software Developer, Embedded Systems Engineer, Physicist, Systems Administrator and Web and Information Manager.

Check my LinkedIn for more info.

 

Marie
Skłodowska-Curie 
Actions
 

 

Emneord: Electronic applications for Biomedical Engineering, Embedded Systems, Mobile Technologies, Software Engineering, Biophysical Properties and Simulation in Neuroscience, Bioimpedance

Publikasjoner

  • Genocchi, Barbara; Cunha, Andrè Bastos da; Jain, Soumil; Hyttinen, Jari; Lenk, Kerstin & Ellingsrud, Ada Johanne (2020). Parametric exploration of cellular swelling in a computational model of cortical spreading depression. I IEEE, EMBC (Red.), 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-7281-1990-8. s. 2491–2495. doi: 10.1109/EMBC44109.2020.9175306.
  • Cunha, Andrè Bastos da; Schuelke, Christin; Heiskanen, Arto; Asif, Afia; Hassan, Yasmin M. & Keller, Stephan S. [Vis alle 10 forfattere av denne artikkelen] (2020). Bioimpedance Measurements on Human Neural Stem Cells as a Benchmark for the Development of Smart Mobile Biomedical Applications. International Federation for Medical and Biological Engineering Proceedings. ISSN 1680-0737. 72, s. 38–47. doi: 10.1007/978-981-13-3498-6_6. Fulltekst i vitenarkiv
  • Cunha, Andrè Bastos da; Hou, Jie & Schuelke, Christin (2019). Machine learning for stem cell differentiation and proliferation classification on electrical impedance spectroscopy. Journal of Electrical Bioimpedance. ISSN 1891-5469. 10(1), s. 124–132. doi: 10.2478/joeb-2019-0018. Fulltekst i vitenarkiv
  • Cunha, Andrè Bastos da; Figueira, Gonçalo & André, Paulo (2016). Enabling the study of photons orbital angular momentum for optical communications . Optical and quantum electronics. ISSN 0306-8919. 48(9). doi: 10.1007/s11082-016-0668-x.

Se alle arbeider i Cristin

Se alle arbeider i Cristin

Se alle arbeider i Cristin

Publisert 14. feb. 2018 11:03 - Sist endret 11. feb. 2019 21:32