Vicky Bikia

I am a postdoctoral researcher at the Byers Center for Biodesign, Stanford and have been awarded a postdoctoral fellowship from Stanford Institute for Human-Centered Artificial Intelligence with Prof. Roxana Daneshjou, starting in the summer of 2024. I received my Advanced Diploma degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece, in 2017, and my Ph.D. degree in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland, in 2021, respectively. During my Ph.D., I worked in the Laboratory of Hemodynamics and Cardiovascular Technology at EPFL, under the mentorship of Prof. Nikolaos Stergiopulos. My Ph.D. research addressed the clinical need for providing non-invasive tools for cardiovascular monitoring leveraging machine learning and physics-based numerical modeling. In particular, I developed and tested novel healthcare algorithms for major biomarkers including central blood pressure, stroke volume, left ventricular elastance and arterial stiffness. My research has been supported by Innosuisse - Swiss Innovation Agency, Swiss National Science Foundation (SNSF), and Firmenich Foundation.

At Stanford, I am working with Prof. Oliver Aalami, whose mentorship has essentially shaped my approach to digital healthcare innovation. I have been contributing to the Stanford Spezi, a framework designed to help you build your own digital health app including questionnaires, data collection from wearable devices, and integration with electronic health record systems. Especially, I am designing and prototyping the Spezi Data Pipeline tool for enhanced data accessibility and analysis workflows. Additionally, my work involves activities for various digital health research projects, including the exploration of the clinical utility of smartwatches for arrhythmia detection in children and collaboration with major pharma companies to integrate physical activity data for personalized care strategies.

selected publications

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Vasiliki Bikia, Theodore G. Papaioannou , Stamatia Pagoulatou , Georgios Rovas , Evangelos Oikonomou , and 3 more authors

Scientific Reports, Dec 2020

Bib PDF Code

@article{bikia_noninvasive_2020,
  title = {Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning},
  volume = {10},
  issn = {2045-2322},
  url = {http://www.nature.com/articles/s41598-020-72147-8},
  doi = {10.1038/s41598-020-72147-8},
  language = {en},
  number = {1},
  urldate = {2020-09-22},
  journal = {Scientific Reports},
  author = {Bikia, Vasiliki and Papaioannou, Theodore G. and Pagoulatou, Stamatia and Rovas, Georgios and Oikonomou, Evangelos and Siasos, Gerasimos and Tousoulis, Dimitris and Stergiopulos, Nikolaos},
  month = dec,
  year = {2020},
  pages = {15015},
}

Noninvasive cardiac output and central systolic pressure from cuff-pressure and pulse wave velocity

Vasiliki Bikia, Stamatia Pagoulatou , Bram Trachet , Dimitrios Soulis , Athanase D. Protogerou , and 2 more authors

IEEE Journal of Biomedical and Health Informatics, Jul 2020

Bib PDF

@article{bikia_noninvasive_2020-1,
  title = {Noninvasive cardiac output and central systolic pressure from cuff-pressure and pulse wave velocity},
  volume = {24},
  issn = {2168-2194, 2168-2208},
  url = {https://ieeexplore.ieee.org/document/8918060/},
  doi = {10.1109/JBHI.2019.2956604},
  number = {7},
  urldate = {2020-10-04},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  author = {Bikia, Vasiliki and Pagoulatou, Stamatia and Trachet, Bram and Soulis, Dimitrios and Protogerou, Athanase D. and Papaioannou, Theodore G. and Stergiopulos, Nikolaos},
  month = jul,
  year = {2020},
  pages = {1968--1981},
}

AI-based estimation of end-systolic elastance from arm-pressure and systolic time intervals

Vasiliki Bikia, Dionysios Adamopoulos , Stamatia Pagoulatou , Georgios Rovas , and Nikolaos Stergiopulos

Frontiers in Artificial Intelligence, Jul 2021

Bib PDF Code

@article{bikia_ai-based_2021,
  title = {AI-based estimation of end-systolic elastance from arm-pressure and systolic time intervals},
  volume = {4},
  issn = {2624-8212},
  url = {https://www.frontiersin.org/article/10.3389/frai.2021.579541},
  doi = {10.3389/frai.2021.579541},
  journal = {Frontiers in Artificial Intelligence},
  author = {Bikia, Vasiliki and Adamopoulos, Dionysios and Pagoulatou, Stamatia and Rovas, Georgios and Stergiopulos, Nikolaos},
  year = {2021},
  pages = {16},
}

Determination of Aortic Characteristic Impedance and Total Arterial Compliance From Regional Pulse Wave Velocities Using Machine Learning: An in-silico Study

Vasiliki Bikia, Georgios Rovas , Stamatia Pagoulatou , and Nikolaos Stergiopulos

Frontiers in Bioengineering and Biotechnology, May 2021

Bib PDF Code

@article{bikia_determination_2021,
  title = {Determination of {Aortic} {Characteristic} {Impedance} and {Total} {Arterial} {Compliance} {From} {Regional} {Pulse} {Wave} {Velocities} {Using} {Machine} {Learning}: {An} in-silico {Study}},
  volume = {9},
  issn = {2296-4185},
  shorttitle = {Determination of {Aortic} {Characteristic} {Impedance} and {Total} {Arterial} {Compliance} {From} {Regional} {Pulse} {Wave} {Velocities} {Using} {Machine} {Learning}},
  url = {https://www.frontiersin.org/articles/10.3389/fbioe.2021.649866/full},
  doi = {10.3389/fbioe.2021.649866},
  urldate = {2021-07-04},
  journal = {Frontiers in Bioengineering and Biotechnology},
  author = {Bikia, Vasiliki and Rovas, Georgios and Pagoulatou, Stamatia and Stergiopulos, Nikolaos},
  month = may,
  year = {2021},
  pages = {649866},
}

On the assessment of arterial compliance from carotid pressure waveform

Vasiliki Bikia, Patrick Segers , Georgios Rovas , Stamatia Pagoulatou , and Nikolaos Stergiopulos

American Journal of Physiology-Heart and Circulatory Physiology, Aug 2021

Bib PDF Code

@article{bikia_assessment_2021,
  title = {On the assessment of arterial compliance from carotid pressure waveform},
  volume = {321},
  issn = {0363-6135, 1522-1539},
  url = {https://journals.physiology.org/doi/10.1152/ajpheart.00241.2021},
  doi = {10.1152/ajpheart.00241.2021},
  language = {en},
  number = {2},
  urldate = {2021-09-05},
  journal = {American Journal of Physiology-Heart and Circulatory Physiology},
  author = {Bikia, Vasiliki and Segers, Patrick and Rovas, Georgios and Pagoulatou, Stamatia and Stergiopulos, Nikolaos},
  month = aug,
  year = {2021},
  pages = {H424--H434},
}

Estimation of left ventricular end-systolic elastance from brachial pressure waveform via deeplearning

Vasiliki Bikia, Marija Lazaroska , Deborah Scherrer Ma , Méline Zhao , Georgios Rovas , and 2 more authors

Frontiers in Bioengineering and Biotechnology, Oct 2021

Bib PDF

@article{bikia_estimation_2021,
  title = {Estimation of left ventricular end-systolic elastance from brachial pressure waveform via deeplearning},
  volume = {9},
  issn = {2296-4185},
  url = {https://www.frontiersin.org/articles/10.3389/fbioe.2021.754003/full},
  doi = {10.3389/fbioe.2021.754003},
  urldate = {2021-12-14},
  journal = {Frontiers in Bioengineering and Biotechnology},
  author = {Bikia, Vasiliki and Lazaroska, Marija and Scherrer Ma, Deborah and Zhao, Méline and Rovas, Georgios and Pagoulatou, Stamatia and Stergiopulos, Nikolaos},
  month = oct,
  year = {2021},
  pages = {754003},
}

Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research

Vasiliki Bikia, Terence Fong , Rachel E Climie , Rosa-Maria Bruno , Bernhard Hametner , and 3 more authors

European Heart Journal - Digital Health, Dec 2021

Bib PDF

@article{bikia_leveraging_2021,
  title = {Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research},
  volume = {2},
  issn = {2634-3916},
  shorttitle = {Leveraging the potential of machine learning for assessing vascular ageing},
  url = {https://academic.oup.com/ehjdh/article/2/4/676/6400249},
  doi = {10.1093/ehjdh/ztab089},
  language = {en},
  number = {4},
  urldate = {2022-11-24},
  journal = {European Heart Journal - Digital Health},
  author = {Bikia, Vasiliki and Fong, Terence and Climie, Rachel E and Bruno, Rosa-Maria and Hametner, Bernhard and Mayer, Christopher and Terentes-Printzios, Dimitrios and Charlton, Peter H},
  month = dec,
  year = {2021},
  pages = {676--690},
}

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

Vasiliki Bikia, Georgios Rovas , and Nikolaos Stergiopulos

Frontiers in Bioengineering and Biotechnology, May 2023

Bib PDF Code

@article{bikia_cardiac_2023,
  title = {Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population},
  volume = {11},
  issn = {2296-4185},
  shorttitle = {Cardiac output estimated from an uncalibrated radial blood pressure waveform},
  url = {https://www.frontiersin.org/articles/10.3389/fbioe.2023.1199726/full},
  doi = {10.3389/fbioe.2023.1199726},
  urldate = {2023-06-23},
  journal = {Frontiers in Bioengineering and Biotechnology},
  author = {Bikia, Vasiliki and Rovas, Georgios and Stergiopulos, Nikolaos},
  month = may,
  year = {2023},
  pages = {1199726},
}

On the similarity between aortic and carotid pressure diastolic decay: a mathematical modelling study

Vasiliki Bikia, Georgios Rovas , Sokratis Anagnostopoulos , and Nikolaos Stergiopulos

Scientific Reports, Jul 2023

Bib PDF

@article{bikia_similarity_2023,
  title = {On the similarity between aortic and carotid pressure diastolic decay: a mathematical modelling study},
  volume = {13},
  issn = {2045-2322},
  shorttitle = {On the similarity between aortic and carotid pressure diastolic decay},
  url = {https://www.nature.com/articles/s41598-023-37622-y},
  doi = {10.1038/s41598-023-37622-y},
  language = {en},
  number = {1},
  urldate = {2024-01-19},
  journal = {Scientific Reports},
  author = {Bikia, Vasiliki and Rovas, Georgios and Anagnostopoulos, Sokratis and Stergiopulos, Nikolaos},
  month = jul,
  year = {2023},
  pages = {10775},
}

Non-invasive monitoring of key hemodynamical and cardiac parameters using physics-based modelling and artificial intelligence

Vasiliki Bikia

Jul 2021

Publisher: Lausanne, EPFL

Bib PDF

@article{bikia_non-invasive_2021,
  title = {Non-invasive monitoring of key hemodynamical and cardiac parameters using physics-based modelling and artificial intelligence},
  url = {http://infoscience.epfl.ch/record/289646},
  doi = {10.5075/EPFL-THESIS-9179},
  language = {en},
  urldate = {2022-04-17},
  author = {Bikia, Vasiliki},
  year = {2021},
  note = {Publisher: Lausanne, EPFL},
}

Utility of smart watches for identifying arrhythmias in children

Aydin Zahedivash , Henry Chubb , Heather Giacone , Nicole K Boramanand , Anne M Dubin , and 6 more authors

Communications Medicine, Jul 2023

Bib PDF

@article{zahedivash2023utility,
  title = {Utility of smart watches for identifying arrhythmias in children},
  author = {Zahedivash, Aydin and Chubb, Henry and Giacone, Heather and Boramanand, Nicole K and Dubin, Anne M and Trela, Anthony and Lencioni, Erin and Motonaga, Kara S and Goodyer, William and Navarre, Brittany and others},
  journal = {Communications Medicine},
  volume = {3},
  number = {1},
  pages = {167},
  year = {2023},
  publisher = {Nature Publishing Group UK London},
}

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

Jordi Alastruey , Peter H Charlton , Vasiliki Bikia, Birute Paliakaite , Bernhard Hametner , and 6 more authors

American Journal of Physiology-Heart and Circulatory Physiology, Jul 2023

Bib PDF

@article{alastruey2023arterial,
  title = {Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet},
  author = {Alastruey, Jordi and Charlton, Peter H and Bikia, Vasiliki and Paliakaite, Birute and Hametner, Bernhard and Bruno, Rosa Maria and Mulder, Marijn P and Vennin, Samuel and Piskin, Senol and Khir, Ashraf W and others},
  journal = {American Journal of Physiology-Heart and Circulatory Physiology},
  volume = {325},
  number = {1},
  pages = {H1--H29},
  year = {2023},
  publisher = {American Physiological Society Rockville, MD},
}

Design and computational optimization of compliance-matching aortic grafts

Georgios Rovas , Vasiliki Bikia, and Nikolaos Stergiopulos

Frontiers in Bioengineering and Biotechnology, Jul 2023

Bib PDF

@article{rovas2023design,
  title = {Design and computational optimization of compliance-matching aortic grafts},
  author = {Rovas, Georgios and Bikia, Vasiliki and Stergiopulos, Nikolaos},
  journal = {Frontiers in Bioengineering and Biotechnology},
  volume = {11},
  year = {2023},
  publisher = {Frontiers Media SA},
}

Quantification of the phenomena affecting reflective arterial photoplethysmography

Georgios Rovas , Vasiliki Bikia, and Nikolaos Stergiopulos

Bioengineering, Jul 2023

Bib PDF

@article{rovas2023quantification,
  title = {Quantification of the phenomena affecting reflective arterial photoplethysmography},
  author = {Rovas, Georgios and Bikia, Vasiliki and Stergiopulos, Nikolaos},
  journal = {Bioengineering},
  volume = {10},
  number = {4},
  pages = {460},
  year = {2023},
  publisher = {MDPI},
}

Assessment of large and small arteries stiffness in end-stage renal disease patients: a numerical study

Hasan Obeid , Vasiliki Bikia, Catherine Fortier , Mathilde Pare , Patrick Segers , and 2 more authors

Frontiers in Physiology, Feb 2022

Bib PDF

@article{obeid_assessment_2022,
  title = {Assessment of large and small arteries stiffness in end-stage renal disease patients: a numerical study},
  doi = {10.3389/fphys.2022.832858},
  journal = {Frontiers in Physiology},
  author = {Obeid, Hasan and Bikia, Vasiliki and Fortier, Catherine and Pare, Mathilde and Segers, Patrick and Stergiopulos, Nikolaos and Agharazii, Mohsen},
  month = feb,
  year = {2022},
}