Tobias Brandt is Assistant Professor of Business Information Management at the Department of Technology and Operations Management at Rotterdam School of Management, Erasmus University. He is also a high-performing member of the Erasmus Research Institute of Management (ERIM).
Tobias' research investigates the digital transformation of businesses and cities. He particularly focuses on smart power systems, innovative urban mobility solutions, and an improved understanding of the dynamics of urban tourism and crime. Tobias' work has received best paper awards at both the International Conference on Information Systems and the Hawaii International Conference on System Sciences and he has published in leading journals at the interface of information and operations management, such as the Journal of Operations Management, the Journal of Management Information Systems, Transportation Science, Information & Management, and the European Journal of Information Systems. His research on urban mobility and spatial analytics has been supported by two Microsoft Azure for Research Awards and an IBM Faculty Award.
Tobias is teaching in the undergraduate, graduate and MBA programs of RSM. For his introductory course to Business Information Management, he received the SR Professor Award in 2019 and the RSM Innovative Teaching Award in 2020.
Before joining RSM, Tobias received his PhD from the University of Freiburg, Germany, from which he also holds a diploma degree in economics. He has been a visiting scholar with Lawrence Berkeley National Laboratory on multiple occasions, as well as with the University of Texas at Austin. Tobias is also co-founder of the urban data science startup Geospin, in which he continues to be involved. During the course of his career, Tobias has been involved in data science projects with a variety of industry partners, including Siemens, Bosch, and ZF.
U. Fretzen, M. Ansarin & T. Brandt (2021). Temporal city-scale matching of solar photovoltaic generation and electric vehicle charging. Applied Energy, 282A:116160. doi: 10.1016/j.apenergy.2020.116160
G. Gust, T. Brandt, S. Mashayekh, M. Heleno, N. DeForest, M. Stadler & D. Neumann (2021). Strategies for Microgrid Operation Under Real-World Conditions. European Journal of Operational Research, 292 (1), 339-352. doi: 10.1016/j.ejor.2020.10.041
T. Brandt & O. Dlugosch (2020). Exploratory data science for discovery and ex-ante assessment of operational policies: Insights from vehicle sharing. Journal of Operations Management, Accepted. doi: 10.1002/joom.1125
S. Wagner, T. Brandt & D. Neumann (2016). In Free Float: Developing Business Analytics Support for Carsharing Providers. Omega, 59 (Part A), 4-14. doi: 10.1016/j.omega.2015.02.011
F. Lang, A. Fink & T. Brandt (2016). Design of automated negotiation mechanisms for decentralized heterogeneous machine scheduling. European Journal of Operational Research, 248 (1), 192-203. doi: 10.1016/j.ejor.2015.06.058
T. Brandt & D. Neumann (2015). Chasing Lemmings: Modelling IT-induced Misperceptions about the Strategic Situation as a Reason for Flash Crashes. Journal of Management Information Systems, 31 (4), 88-108. doi: 10.1080/07421222.2014.1001258
J. Bendler, S. Wagner, T. Brandt & D. Neumann (2014). Taming Uncertainty in Big Data - Evidence from Social Media in Urban Areas. Business & Information Systems Engineering, 6 (5), 279-288. doi: 10.1007/s12599-014-0342-4
N. Goby, T. Brandt & D. Neumann (2020). How a German Manufacturing Company Set Up Its Analytics Lab. In Harvard Business Review, E. Siegel, E..L. Glaeser, C. Kozyrkov & T..H. Davenport (Eds.), Strategic Analytics (How a German Manufacturing Company Set Up Its Analytics Lab) (pp. 61-71). Boston, MA: Harvard Business Review Press