
DI
Maximilian Jakob Schirl, BSc
Department Information Technologies and Digitalisation
Room: Urstein - 412
Teaching
AISE-M | 1. WS 2025 | Data Science | IL
AITB-M | 1. WS 2025 | Data Science & Artificial Intelligence | IL
AITB-M | 3. WS 2025 | Project 2 | PT
ITS-B | 3. WS 2025 | Web Technologies | IL
ITS-B | 5. WS 2025 | WF: Data Analysis with Python | IL
Current Research Projects
- FTZ CyberSec: Cybersecurity – FTZ for Data-Based Evaluation of Security and Privacy Technologies
The objective of the project is to ensure an open and comprehensive transfer of knowledge in the fields of AI security and data protection for... 07/2025 - 12/2028 - DAWN: Data-driven Analysis and Optimization of Low Voltage Networks
The increased use of renewable energy sources and the shift towards electromobility are leading to greater volatility in the energy system. Grid... 01/2025 - 12/2026
Current Publications
- Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data
2025 - Predicting Socio-Demographic Characteristics from Load Profiles with Varying Time Granularities
Energy consumption data from smart meters has been shown to infer socio-demographic characteristics, which impacts privacy. However, the impact of time granularity on the ability to classify such...
2025 - Python-Based Reinforcement Learning on Simulink Models
2024
Awards
- Teaching Award, 2. Platz
21. Nov 2023