Dr. Eleni Daskalaki

Dr Eleni Daskalaki received her 5-year Dipl-Ing in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2009 and her PhD in Biomedical Engineering from the University of Bern, Switzerland in 2013. Her doctoral research was on the design and development of reinforcement learning-based control algorithms and adaptive prediction models for glucose regulation in type 1 diabetes. Her main contribution on personalisation of insulin treatment resulted in a patent application. After her PhD, Dr. Daskalaki was engaged for two years as project associate at the European Organization for Nuclear Research (CERN), Geneva, where she worked in different engineering areas, among which, the design of control algorithms for the phase regulation of the Compact Linear Collider klystrons. Subsequently she was engaged at the Swiss Center for Electronics and Microtechnology (CSEM), Neuchatel, a private research company, first as a post-doctoral researcher and then as a R&D engineer. Her work focused on the development of signal processing algorithms for radiofrequency-based sensing applications and radar-based remote sensing of human vital signs. She led a research project on the development of machine/deep learning (ML/DL) algorithms for anomalies and events detection in multivariate time-series. Currently, she is a research fellow in Computer Science, mainly working for the OHIOH grand challenge. Her work focuses on the development of ML/DL strategies for the improvement of diagnosis and management of diabetes and multiple sclerosis, but also expands in the broader field of data processing in medical applications
Type
party
Access Privileges
Medicine & Health Sciences
Title
Dr.
Given Name
Eleni
Surname
Daskalaki
Uni ID
u1085378
Brief Description
Dr Eleni Daskalaki received her 5-year Dipl-Ing in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2009 and her PhD in Biomedical Engineering from the University of Bern, Switzerland in 2013
Full Description
Dr Eleni Daskalaki received her 5-year Dipl-Ing in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2009 and her PhD in Biomedical Engineering from the University of Bern, Switzerland in 2013. Her doctoral research was on the design and development of reinforcement learning-based control algorithms and adaptive prediction models for glucose regulation in type 1 diabetes. Her main contribution on personalisation of insulin treatment resulted in a patent application. After her PhD, Dr. Daskalaki was engaged for two years as project associate at the European Organization for Nuclear Research (CERN), Geneva, where she worked in different engineering areas, among which, the design of control algorithms for the phase regulation of the Compact Linear Collider klystrons. Subsequently she was engaged at the Swiss Center for Electronics and Microtechnology (CSEM), Neuchatel, a private research company, first as a post-doctoral researcher and then as a R&D engineer. Her work focused on the development of signal processing algorithms for radiofrequency-based sensing applications and radar-based remote sensing of human vital signs. She led a research project on the development of machine/deep learning (ML/DL) algorithms for anomalies and events detection in multivariate time-series. Currently, she is a research fellow in Computer Science, mainly working for the OHIOH grand challenge. Her work focuses on the development of ML/DL strategies for the improvement of diagnosis and management of diabetes and multiple sclerosis, but also expands in the broader field of data processing in medical applications
Email Address
ELENI.DASKALAKI@anu.edu.au
Postal Address
Research Fellow in Computer Science College of Engineering & Computer Science The Australian National University
Website Address
https://researchers.anu.edu.au/researchers/daskalaki-e
Fields of Research
320208 - Endocrinology; 420302 - Digital health
Socio-Economic Objective
200105 - Treatment of human diseases and conditions; 200501 - Adolescent health
Keywords
Breath sensor; Diabetes; Ketones; User preference; Young people; Co-design; Qualitative
Status: Published
Published to:
  • Australian National University
  • Australian National Data Service
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