Eva Zacharaki, PhD, HdR | Academic Profile

Academic Overview

Bridging Computational Physics & Healthcare Intelligence

My career is dedicated to constructing intelligent mathematical mappings of biological phenomena. My research spans deformable medical image registration, biomechanical simulations, and the development of clinical decision support pipelines utilizing artificial intelligence.

As the founder of EikonaMed E.E. and Consultant for ComKardia Inc (USA), I translate theoretical medical image-based biomarkers directly into clinically actionable surgical-planning dashboards.

Stanford Top 2% AI & Image Processing Field (2021, 2023, & 1996-2023)

Patents AI Coronary Intervention Optimization (US B2 & A1)

Education

2017

Habilitation à Diriger des Recherches (HdR)

Université Paris-Est, France

"Computational methods towards image-based biomarkers and beyond"

2004

PhD in Biomedical Technology

National Technical University of Athens (NTUA)

"Image registration algorithms and cancer radio-oncology tumor simulation"

1999

Diploma (M.Sc.) in Electrical & Computer Engineering

NTUA, Telecommunications Specialty

Research Ecosystem

Digital Twins: Computational Modeling & AI Synergy

Understanding the data and transforming physical bio-structures into actionable digital assets.

Cardiovascular AI & Digital Twins

Real-time coronary planning and plaque segmentation via UNet-based models, providing clinical decision support platforms for percutaneous coronary interventions (PCI).

Collaborative research with Comkardia

ComKardia 3D/AI Platform Angiography/cFFR Optimization Dashboard

Cancer Modeling & Radiomics

Deep learning-based image harmonization, segmentation, and radiomics analysis to characterize malignant tissue and predict cancer progression.

Collaborative research with University of Miami

Habitat Risk Score (HRS) Pipeline mpMRI Radiomics & Active Surveillance

Holographic Physical Unclonable Functions

Laser-fabricated microstructures as physical security tags (PUFs), validated via tSNE and deep learning authentication systems.

Collaborative research with Material Science Department

Optical PUF Security Flow Laser-Silver microstructures signature

Musculoskeletal Biomechanics

Personalized knee geometry modeling using multi-atlas segmentation and volumetric mesh refinement, enabling patient-specific biomechanical analysis.

Collaborative research with VVR Group

Knee 3D Reconstruction MRI -> Volumetric Cartilage Mesh

Interactive XR & Ergonomics

XRSISE framework for interactive virtual reality simulation and real-time biomechanical evaluation, optimizing human-centered safety.

Collaborative research with VVR Group

XRSISE Project Page Frontiers in Virtual Reality (2021)

Publications & Intellectual Property

Distinguished Scholarly Impact

Int. J. Radiation Oncology, Biology, Physics (2026)

Integration of Habitat Risk Score (HRS) in Radiotherapy for Prostate Cancer

E.I. Zacharaki, A. et al. (Vol. 124, No. 4, pp. 1096–1102)

IEEE Trans. Neural Syst. Rehabil. Eng. (2024)

Multi-action Knee Contact Force Prediction by Domain Adaptation

I. Loi, E.I. Zacharaki, K. Moustakas (Vol. 32, pp. 122–132)

Nature Communications (2022)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

S. Pati, et al.

Scientific Reports - Nature (2022)

Holographic Intrinsic Physical Unclonable Functions

A. Anastasiou, E.I. Zacharaki, A. Tsakas, K. Moustakas, D. Alexandropoulos

IEEE Journal of Biomedical and Health Informatics (2020)

FrailSafe: An ICT platform for unobtrusive sensing of multi-domain frailty for personalized interventions

E.I. Zacharaki, et al. (Vol. 24, No. 6, pp. 1557–1568)

Medical Image Analysis (2016)

(Hyper)-Graphical Models in Biomedical Image Analysis

N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot, E.I. Zacharaki (Vol. 33, pp. 102–106)

Medical Image Analysis (2014)

Individualized Statistical Learning from Medical Image Databases

G. Erus, E.I. Zacharaki, C. Davatzikos

NeuroImage (2009)

Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth

E.I. Zacharaki, C.S. Hogea, D. Shen, G. Biros, C. Davatzikos (Vol. 46, No. 3, pp. 762–774)

Mentorship & Pedagogy

Teaching advanced Machine Learning and Computer Vision while co-supervising research breakthroughs.

Selected Courses

Artificial Intelligence, Statistical methods in Machine Learning, Computational Intelligence, Big Data Management Systems, Computer Vision and Graphics

CEID Department, University of Patras

Digital Image Processing and Analysis

Master’s Program in Biomedical Engineering, University of Patras

Foundations of Machine Learning

Master’s Program in Data Sciences, CentraleSupélec (Paris-Saclay)

Ph.D. Co-Supervision Highlights

Thomas Papastergiou

Knowledge mining from multi-dimensional streaming data using distributed computing (CEID)

Guillaume Chassagnon

AI-driven detection and characterization of chronic lung diseases (CentraleSupélec)

Evgenios Kornaropoulos

Deformable image registration for motion estimation in 4D medical imaging

Chronological Career Path

Academic & Professional Journey

02/2026 – Present 1

Associate Professor

Dep. of Computer Engineering & Informatics (CEID), University of Patras

2024 – 2026 2

Senior Research Associate & Consultant

EikonaMed E.E. (Founder) / ComKardia Inc (USA) / UPatras ECE

2022 – 2023 3

Assistant Scientist

Dep. of Radiation Oncology, University of Miami, USA

2017 – 2022 4

Senior Research Scientist

University of Patras (ECE)

2015 – 2017 5

Senior Research Scientist & Lecturer

CentraleSupélec & GALEN INRIA, Paris-Saclay, France

Get In Touch

Collaborate on Digital Health & AI

I am open to doctoral program inquiries, international research consortia, and private-sector AI diagnostic software consultation. Reach out via email or visit my office at the University of Patras.

Office Location

Office 2.A.7 (2nd floor), Department of Computer Engineering and Informatics, University of Patras, Greece

Email Communications

Primary: ezachar@upatras.gr

ComKardia: eva.zacharaki@comkardia.com