In English:

• Mathematics for pharmacist students (2014 fall)

In Hungarian:

Faculty of Health Sciences and Social Studies:

• Informatics II. (2012 spring, 2013 spring)
• Informatics for nurses (2012 fall)

Faculty of Pharmacy:

• Mathematics for pharmacist students (2012 fall, 2014 fall, 2015 spring)

Faculty of Sciences and Informatics:

• Applied statistics (2011 fall)
• Discrete mathematics (2011 fall, 2012 fall)
• Biostatistics (2013 fall)
• Computer-aided mathematical modelling (2013 fall)
• Mathematics for biology teachers (2013 fall, 2016 fall, 2020 fall)
• Mathematical statistics for bioengineer students (2014 spring)
• Mathematical models (2016 spring, 2017 spring, 2020 spring)
• Dynamical models for environmental engineers (2017 spring, 2020 fall)
• Industrial mathematics(2020 spring)

Engineering Center Budapest at Robert Bosch Kft.

• university lectures about radar-based driver assistance systems and autonomous driving at three universities (2017 fall)

Theses: 

Bachelor thesis - 2011

Master Thesis - 2013

PhD Thesis - 2017

Publications:

[1]   Röst, G. and Vizi, Z., 2014. Backward bifurcation for pulse vaccination. Nonlinear Analysis: Hybrid Systems, 14, pp.99-113.

[2]   Kiss, I.Z., Röst, G. and Vizi, Z., 2015. Generalization of pairwise models to non-Markovian epidemics on networks. Physical review letters, 115(7), p.078701.

[3]   Barbarossa, M.V., Dénes, A., Kiss, G., Nakata, Y., Röst, G. and Vizi, Z., 2015. Transmission dynamics and final epidemic size of Ebola virus disease outbreaks with varying interventions. PloS one, 10(7), p.e0131398.

[4]   Röst, G., Vizi, Z. and Kiss, I.Z., 2016. Impact of non-Markovian recovery on network epidemics. In BIOMAT 2015: International Symposium on Mathematical and Computational Biology (pp. 40-53).

[5]   Röst, G., Kiss, I.Z. and Vizi, Z., 2016, June. Variance of Infectious Periods and Reproduction Numbers for Network Epidemics with Non-Markovian Recovery. In European Consortium for Mathematics in Industry (pp. 171-178). Springer, Cham.

[6]   Röst, G., Vizi, Z. and Kiss, I.Z., 2018. Pairwise approximation for SIR-type network epidemics with non-Markovian recovery. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 474(2210), p.20170695.

[7]   Vizi, Z., Kiss, I.Z., Miller, J.C. and Röst, G., 2019. A monotonic relationship between the variability of the infectious period and final size in pairwise epidemic modelling. Journal of Mathematics in Industry, 9(1), p.1.

[8]   Bogya, N., Fazekas, R., Nagy-György, J. and Vizi, Z., 2019. Clustering Algorithm Exploring Road Geometry in a Video-Based Driver Assistant System. In Progress in Industrial Mathematics at ECMI 2018 (pp. 589-595). Springer, Cham.

[9] Boldog, P., Tekeli, T., Vizi, Z., Dénes, A., Bartha, F.A. and Röst, G., 2020. Risk assessment of novel coronavirus COVID-19 outbreaks outside China. Journal of clinical medicine, 9(2), p.571.

[10] Röst, G., Bartha, F.A., Bogya, N., Boldog, P., Dénes, A., Tamás, F., Horváth, K.J., Juhász, A., Nagy, C., Tekeli, T. and Vizi, Z., 2020. Early phase of the COVID-19 outbreak in Hungary and post-lockdown scenarios. medRxiv.

BSc thesis supervision:

• Zsuzsanna Mári, Force Management in Call Centers (2014)
• Eszter Szénási, Association algorithms in driver assistance systems (2017)
• Anita Fülöp, A 2014-es Ebola-járvány matematikai modellezése és számítógéppel segített vizsgálata (2017)

MSc thesis supervision

• Róbert Fazekas, Forgalmi sávok modellezése videó alapú vezetést támogató rendszerekben (2018)
• Róbert Csányi, A vízminőség elemzése a Bácsvíz Zrt. kecskeméti területén (2018)
• Árpád Kónya, Long Short-Term Memory Networks in Time Series Forecasting (2018)
• Pál Nagy-György, Objektumdetekció hőkamerás vezetéstámogató rendszerekben (2020)

Projects:

• modelling COVID19 for Hungarian Government (2020-)
• DARPA project about building an artificial intelligence (AI)-assisted cyber physical systems design software prototype (FA8750-20-C-0537) (2021-)
• collaboration with Robert Bosch Kft. in EFOP 3.6.2. for building Hungarian network for industrial Mathematics (HU-MATHS-IN) (2019-2020)
• Research School about object classification in self-driving cars: collaboration with Makói József Attila Gimnázium (2019-2020)

Conference talks:

Organizing activity:

• 2016. Forum Mathematicum (mathematics in the industry) seminar series, Bolyai Institute
• 2016. Modeling course for high school students, JAG, Makó
• 2018. Machine Learning Seminar for algorithm developers, Robert Bosch Kft., Budapest

E-mail: zsvizi(at)math.u-szeged.hu

Location: University of Szeged, Bolyai Building, M05

Zs. Vizi, Visual introduction to bifurcations (in Wolfram Mathematica)

http://www.model.u-szeged.hu/data/etc/edoc/2015-bifurcation/index-en.html