Michael Stach
since 2023 | Research assistant at the Institute of Clinical Epidemiology and Biometry, University of Würzburg |
| 2017-2022 | Research assistant at the Institute of Databases and Information Systems, University of Ulm |
2014-2016 | M.Sc. Media Computer Science, University of Ulm, with focus on Distributed Systems & Information Systems |
| 2010-2014 | B.Sc. Media Computer Science, University of Ulm |
Stach, M., Pflüger, F., Reichert, M., Pryss, R., 2022. LAMP: a monitoring framework for mHealth application research. Procedia Computer Science 198, 203–210. https://doi.org/10.1016/j.procs.2021.12.229
Beierle, F., Schobel, J., Vogel, C., Allgaier, J., Mulansky, L., Haug, F., Haug, J., Schlee, W., Holfelder, M., Stach, M., Schickler, M., Baumeister, H., Cohrdes, C., Deckert, J., Deserno, L., Edler, J.-S., Eichner, F.A., Greger, H., Hein, G., Heuschmann, P., John, D., Kestler, H.A., Krefting, D., Langguth, B., Meybohm, P., Probst, T., Reichert, M., Romanos, M., Störk, S., Terhorst, Y., Weiß, M., Pryss, R., 2021. Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 18. https://doi.org/10.3390/ijerph18147395
Stach, M., Vogel, C., Gablonski, T.-C., Andreas, S., Probst, T., Reichert, M., Schickler, M., Pryss, R., 2020b. Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy, in: The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), Procedia Computer Science. Presented at the International Conference on Mobile Systems and Pervasive Computing (MobiSPC), Elsevier, Leuven, Belgium, pp. 261–268. https://doi.org/10.1016/j.procs.2020.07.038
Stach, M., Kraft, R., Probst, T., Messner, E.-M., Terhorst, Y., Baumeister, H., Schickler, M., Reichert, M., Sander, L.B., Pryss, R., 2020a. Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps, in: 33rd IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). Presented at the 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Rochester, MN, USA, pp. 427–432. https://doi.org/10.1109/CBMS49503.2020.00087
