Our CEO was on Forbes
In this article on Forbes, Michael talks about the importance of blending data and intuition to make better decisions.
Our CEO Michael wrote a book about the digital transformation and artifical intelligence in the automotive industry - with more than 100 use-cases.
Our Published Research Papers
- Wonsak, S., Henke, N., Al-Rifai, M., Nejdl, W., & Nolting, M. (2024). Adaptive Dispatching of Mobile Charging Stations using Multi-Agent Graph Convolutional Cooperative Reinforcement Learning, SIGSPATIAL 2024
- Nolting, M., Walsh, G. (2024). Is AI the Future of Weight Loss Coaching? Exploring Digital Methods for Automated Health Guidance, The 32nd European Conference on Information Systems (ECIS), 2024
- Von Wahl, L., Tempelmeier, N., Nolting, M., Heidenreich, N., Tempelmeier, N. & Prasenjit, M. (2023). Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets, The 38th Annual AAAI Conference on Artificial Intelligence
- Von Wahl, L., Mautsch, C., Ladwig, S., Nolting, M. & Tempelmeier, N. (2023). Towards Data-Driven Planning of Mobile Charging Infrastructure for Electric Vehicles (2023), 1st ACM SIGSPATIAL Workshop on Sustainable Mobility (SuMob 2023) at ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
- Henke, N., Wonsak, S., Mitra, P., Nolting, M., & Tempelmeier, N. (2023). CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 79-91.
- Henke N., Al-Rifai M., Wagner M., Nolting M., Tempelmeier N. (2023). VISENSE for Vehicle Load Estimation and Fatigue Analysis. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).
- Wowo, K.S., Nolting, M., & Tempelmeier, N. (2022). Towards sub-maneuver selection for automated driver identification. IEEE 25th International Conference on Intelligent Transportation Systems.
- Wonsak, S., Al-Rifai, Nolting, M., & Nejdl, W. (2022). Multi-Modal Motion Prediction with Graphormers. IEEE 25th International Conference on Intelligent Transportation Systems.
- Wowo, K.S., Dadwal, R., Graen, T., Fiege, A., Nolting, M., Nejdl, W., & Demidova, E. (2022). Using Vehicle Data to Enhance Prediction of Accident-Prone Areas. IEEE 25th International Conference on Intelligent Transportation Systems.
- Zeng, L., Al-Rifai, M., Nolting, M., & Nejdl, W. (2022). Towards building reliable deep learning based driver identification systems. IEEE 34th International Conference on Tools with Artificial Intelligence.
- Matesanz, P., Tempelmeier, N., Nolting, M., & Funke, T. (2022). Ego-Vehicle Speed Prediction with Walk-Ahead. IEEE 25th International Conference on Intelligent Transportation Systems.
- Zeng, L., Al-Rifai, M., Nolting, M., & Nejdl, W. (2021). Triplet loss for effective deployment of deep learning based driver identification models. IEEE International Intelligent Transportation Systems Conference.
- Prenner, N., Klünder, J., Nolting, M., Sniehotta, O., & Schneider, K. (2021). Challenges in the Development of Mobile Online Services in the Automotive Industry-A Case Study. IEEE/ACM Joint 15th International Conference on Software and System Process.
- Brylla, D.E., Walsh, G., Nolting, M., & Roth, J. (2021). When fast means more hassle: Online deliveries revisited. International Conference on Information Systems (ICIS) 2021
- Matesanz, P., Graen, T., Fiege, A., Nolting, M., & Nejdl, W. (2021). Demand-driven data acquisition for large scale fleets. MDPI Sensors Journal, 21 (21), 7190.
- Frantzen, L., Liedtke, P., Graen, T., Fiege, A., Nolting, M., & Nejdl, W. (2021). Environmental Data Collection as a Byproduct for Autonomous Ride-Hailing Services. IEEE International Intelligent Transportation Systems Conference.
- Kantert, J., & Nolting, M. (2021). How to integrate with real cars-minimizing lead time at Volkswagen. IEEE/ACM 43rd International Conference on Software Engineering.
- Klünder, J., Prenner, N., Windmann, A.K., Stess, M., Nolting, M., Kortum, F.,& Schneider, K. (2020). Do you just discuss or do you solve? Meeting analysis in a software project at early stages. Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering.
- Zeng, L., Krallmann, T., Fiege, A., Stess, M., Graen, T., & Nolting, M. (2020). Optimization of future charging infrastructure for commercial electric vehicles using a multi-objective genetic algorithm and real travel data. Journal of Evolving Systems, 11, 241-254.
- Zeng, L., Al-Rifai, M., Chelaru, S., Nolting, M., & Nejdl, W. (2020). On the importance of contextual information for building reliable automated driver identification systems. IEEE 23rd International Conference on Intelligent Transportation Systems.
- Nolting, M., Roth, J., & Wittke, U. (2020). Towards Autonomous Digital Health Coaching for Scalable Chronic Disease Prevention. Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare.
- Nolting, M., & Wittke, U. (2019). Ojo: Fuzzy logic based digital health coaching for scalable diabetes prevention. Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare.
- Krallmann T., Doering M., Stess M., Graen T., & Nolting M. (2018) Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data, IEEE conference on evolving and adaptive intelligent systems (EAIS), pp. 1-8.
2025 © ultra mAinds GmbH. All Rights Reserved.
At ultra mAinds, we empower organizations worldwide to harness the power of Generative AI, bringing cutting-edge research into real-world AI solutions.
Stay ahead with the latest AI innovations and follow us on LinkedIn, if you like:
INDUSTRIES
BLOG