The Center for Deep Tech Innovation has published over 300 books, scientific peer-reviewed-articles and reports. Here is a selection. For more publications, get in contact.

Müller, M., Ostern, N., & Rosemann, M. (2020, September). Silver bullet for all trust issues? Blockchain-based trust patterns for collaborative business processes. In International Conference on Business Process Management (pp. 3-18). Springer, Cham.

Kampakis, S., Mourouzis, T., Cardoso, G. & Zinopoulou, M. (2022, September). Business Models in Emerging Technologies: Data Science, AI, and Blockchain. Business Expert Press.

Kampakis, S. (2019, November). The Decision Maker's Handbook toData Science: A Guide for Non-Technical Executives, Managers, andFounders (2nded.). Apress

Müller, M., Garzon S. R., Westerkamp, M. & Lux. Z. A. (2019, October). Hidals: a hybrid iot-based decentralized application for logistics and supply chain management. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0802-0808). IEEE

Müller, M., Ostern, N., Koljada, D., Grunert, K., Rosemann, M. & Küpper A. (2021, April). Trust mining: analyzing trust in collaborative business processes. In IEEE Access ( Volume: 9) (pp. 65044 - 65065). IEEE

Müller, M. & Ruppel, P. (2019, April). Process mining for decentralized applications. In 2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON) (pp 164-169). IEEE

Müller, M. & Garzon S. R., Rosemann, M. & Küpper A. (2020, September). Towards trust-aware collaborative business processes: an approach to identify uncertainty. In IEEE Internet Computing ( Volume: 24) (pp 17-25). IEEE.

Kampakis, S. (2022, December 16). Tokenomics Beyond 2023: Why Now More than Ever Before | Published in The Journal of The British Blockchain Association.

Schaar, L. S. K. (2022, January 18). Non-Fungible Tokens as an Alternative Investment: Evidence from CryptoPunks | Published in The Journal of The British Blockchain Association.

Kampakis, S. (2022, April 19). Auditing Tokenomics: A Case Study and Lessons from Auditing a Stablecoin Project | Published in The Journal of The British Blockchain Association.

Müller, M., Gromicho, M., de Carvalho, M., & Madeira, S. C. (2021). Explainable models of disease progression in ALS: Learning from longitudinal clinical data with recurrent neural networks and deep model explanation. Computer Methods and Programs in Biomedicine Update, 1, 100018.

Steinman, D. A., Hoi, Y., Fahy, P., Morris, L., Walsh, M. T., Aristokleous, N., ... & Loth, F. (2013). Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge. Journal of biomechanical engineering, 135(2).

Berg, P., Roloff, C., Beuing, O., Voss, S., Sugiyama, S. I., Aristokleous, N., ... & Janiga, G. (2015). The computational fluid dynamics rupture challenge 2013—phase II: variability of hemodynamic simulations in two intracranial aneurysms. Journal of biomechanical engineering, 137(12).

Rochon, E. R., Menon, P. G., & Roman, B. L. (2016). Alk1 controls arterial endothelial cell migration in lumenized vessels. Development, 143(14), 2593-2602.

Valen-Sendstad, K., Bergersen, A. W., Shimogonya, Y., Goubergrits, L., Bruening, J., Pallares, J., ... & Steinman, D. A. (2018). Real-world variability in the prediction of intracranial aneurysm wall shear stress: the 2015 international aneurysm CFD challenge. Cardiovascular engineering and technology, 9(4), 544-564.

Chen, C. Y., Antón, R., Hung, M. Y., Menon, P., Finol, E. A., & Pekkan, K. (2014). Effects of intraluminal thrombus on patient-specific abdominal aortic aneurysm hemodynamics via stereoscopic particle image velocity and computational fluid dynamics modeling. Journal of biomechanical engineering, 136(3).

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