Difference between revisions of "User:EmanueleDeBernardi"

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(Short Bio)
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{{Researcher
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| firstname=Emanuele
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| lastname=De Bernardi
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| photo= EmanueleDeBernardi.jpg
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| email=emanuele.debernardi@polimi.it
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| resarea= Social Software and Semantic Web
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| status=active
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}}
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== Short Bio ==
 
== Short Bio ==
Emanuele De Bernardi received his Bachelor degree in Telecommunication Engineering in February 2012 and his M.Sc. degree in Computer Engineering in July 2015 at Politecnico di Milano (Como Campus). His Master Thesis was based on a development of an Acoustic BCI (Brain-Computer Interface) for Amyotrophic Lateral Sclerosis on Android devices. From September 2015 he is a Research Assistant at the Department of Electronics, Information and Bioengineering (DEIB) in the Artificial Intelligence and Robotics Laboratory (AI&R Lab) of Politecnico di Milano and he is a member of the ATG (Assistive Technology Group [http://atg.deib.polimi.it/ http://atg.deib.polimi.it/]) under the supervision of Matteo Matteucci and Sara Comai.
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Emanuele De Bernardi received his Bachelor degree in Telecommunication Engineering in February 2012 and his M.Sc. degree in Computer Engineering in July 2015 at Politecnico di Milano (Como Campus). His Master Thesis was based on a development of an Acoustic BCI (Brain-Computer Interface) prototype for Amyotrophic Lateral Sclerosis on Android devices. From September 2015 he is a Research Assistant at the Department of Electronics, Information and Bioengineering (DEIB) in the Artificial Intelligence and Robotics Laboratory (AI&R Lab) of Politecnico di Milano and he is a member of the ATG (Assistive Technology Group [http://atg.deib.polimi.it/ http://atg.deib.polimi.it/]) under the supervision of Matteo Matteucci and Sara Comai. His research activities are focused on Assistive Technologies, Brain-Computer Interfaces and Android Development.
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== Master Thesis  ==
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You can find my Master Thesis here:
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* [http://hdl.handle.net/10589/108064 Development of a portable auditory P300-based Brain-Computer Interface for yes-no communication to Amyotrophic Lateral Sclerosis]
  
== Research Fields ==  
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== Working Projects ==  
* Assistive Technologies
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* [http://mep5x1000.wix.com/mepapp MEP (Maps for Easy Paths)]): development of a set of innovative tools and solutions for the enrichment of geographical maps with information about the accessibility of urban pedestrian for people with mobility problems.
* Brain-Computer Interface
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* STELE Project: development of a new wireless Brain-Computer Interface system dedicated to clinical trials, in order to compensate the compromised autonomy of the patient with SLA.
* Android development
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Revision as of 00:49, 14 October 2015

Emanuele De Bernardi
Foto di EmanueleDeBernardi
First Name: Emanuele
Last Name: De Bernardi
E-Mail: emanuele.debernardi@polimi.it
Research Areas:
Status: active

Short Bio

Emanuele De Bernardi received his Bachelor degree in Telecommunication Engineering in February 2012 and his M.Sc. degree in Computer Engineering in July 2015 at Politecnico di Milano (Como Campus). His Master Thesis was based on a development of an Acoustic BCI (Brain-Computer Interface) prototype for Amyotrophic Lateral Sclerosis on Android devices. From September 2015 he is a Research Assistant at the Department of Electronics, Information and Bioengineering (DEIB) in the Artificial Intelligence and Robotics Laboratory (AI&R Lab) of Politecnico di Milano and he is a member of the ATG (Assistive Technology Group http://atg.deib.polimi.it/) under the supervision of Matteo Matteucci and Sara Comai. His research activities are focused on Assistive Technologies, Brain-Computer Interfaces and Android Development.

Master Thesis

You can find my Master Thesis here:

Working Projects

  • MEP (Maps for Easy Paths)): development of a set of innovative tools and solutions for the enrichment of geographical maps with information about the accessibility of urban pedestrian for people with mobility problems.
  • STELE Project: development of a new wireless Brain-Computer Interface system dedicated to clinical trials, in order to compensate the compromised autonomy of the patient with SLA.