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Philips

Milan Petković – Philips
Beneficiaries | Philips | Team

Milan Petković – Philips

Bybchiucconi 10 November 2017

Milan Petković – ESR2, 4 and 5 lead supervisor.
He is the Head of Data Science Department at Philips Research, expertise in Security, Privacy and Trust in Modern Data Management. He has published more than 50 journal and conference papers.

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Gerhard Spekowius – Philips
Beneficiaries | Philips | Team

Gerhard Spekowius – Philips

Bybchiucconi 10 November 2017

Gerhard Spekowius, healthcare business development manager, expertise in future personal and mobile health solutions for Europe and China. He hamore than 25 years of experience as director of healthcare business

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Daniel Pletea – Philips
Beneficiaries | Philips | Team

Daniel Pletea – Philips

Bybchiucconi 10 November 2017

Daniel Pletea is a research scientist in Philips Research in the Data Science department, where he is currently involved in projects in the area of information security. His interests include secure system architecture

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Dietwig Lowet – Philips
Beneficiaries | Philips | Team

Dietwig Lowet – Philips

Bybchiucconi 10 November 2017

Dietwig Lowet, scientist at Philips, expertise in data analysis and predictive modelling for personal health care. He is a senior scientist focusing in data analysis and predictive modeling for personal health care.

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Jan Korst – Philips
Beneficiaries | Philips | Team

Jan Korst – Philips

Bybchiucconi 10 November 2017

Jan Korst, principal Scientist, expertise in combinatorial optimization, machine learning and the design and analysis of algorithms. He is currently involved in machine learning applications in the domain of healthcare.

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Paul Koster – Philips
Beneficiaries | Philips | Team

Paul Koster – Philips

Bybchiucconi 10 November 2017

Paul Koster, senior scientist at the Data Science department, where he is responsible for research and project management for projects in the area of information security. He contributed to several standardization activities

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766139.

This web site reflects only the author's view. The Research Executive Agency is not responsible for any use that may be made of the information it contains.

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