Publications

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. https://jbba.scholasticahq.com/article/57668-tokenomics-beyond-2023-why-now-more-than-ever-before

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. https://jbba.scholasticahq.com/article/31949-non-fungible-tokens-as-an-alternative-investment-evidence-from-cryptopunks

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. https://jbba.scholasticahq.com/article/34696

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. https://doi.org/10.1016/j.cmpbup.2021.100018

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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