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dr. J. Mikhal MSc (Julia)

Researcher

About Me

My research concentrates on multiscale predictions of biomedical problems. In my Veni project I work on vascular disease models, combining mathematical modeling and analysis with high-performance computing.

Expertise

Simulation
Pulsatile Flow
Modeling
Rheology
Carotid Arteries
Velocity Measurement
Stents
Stents
In Vitro Techniques
Stents
Velocity Measurement
Particle Image Velocimetry
Arteries
Ultrasonics
Ultrasonics
Shear Stress
Neural Networks
Porous Materials

Publications

Recent
Hoving, A. M., Voorneveld, J., De Vries, E. E., Groot Jebbink, E., Versluis, M., Bosch, J. G., ... Slump, C. H. (2018). In vitro high-frame-rate contrast-enhanced ultrasound particle image velocimetry in a carotid artery stent. In Medical Imaging 2018: Ultrasonic Imaging and Tomography [105800A] (SPIE Proceedings; Vol. 10580). SPIE. DOI: 10.1117/12.2293669
Greff, K., van Damme, R. M. J., Koutnik, J., Broersma, H. J., Mikhal, J. O., Lawrence, C. P., ... Schmidhuber, J. (2017). Using neural networks to predict the functionality of reconfigurable nano-material networks. International journal on advances in intelligent systems, 9(3&4), 339-351.
Greff, K., van Damme, R. M. J., Koutnik, J., Broersma, H. J., Mikhal, J. O., Lawrence, C. P., ... Schmidhuber, J. (2016). Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks. In The Eighth International Conference on Future Computational Technologies and Applications, FUTURE COMPUTING 2016 (pp. 15-20). Wilmington, U.S.A.: IARIA International Academy, Research and Industry Association.

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Carré (building no. 15)
Hallenweg 23
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Carré
P.O. Box 217
7500 AE Enschede
The Netherlands

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