Erika Hladky

5 total

03SEP 2026
General
Colloquium lecture: September 29,2026, 10:15 a.m., Design and Integration of 5G Scheduling Algorithms into the ITANS TSN Framework.
Betreuer/in: Baron Time-Sensitive Networking (TSN) coordinates Ethernet transmissions to providedeterministic communication, whereas a 5G configured grant exposes capacityonly during recurring transmission occasions. This thesis investigates how a TSNscheduler can represent that periodic resource and when its recurring occasions permit admission of a periodic stream. The proposed model describes a configured grant by its period, phase, […]Betreuer/in: Baron Time-Sensitive Networking (TSN) coordinates Ethernet transmissions to providedeterministic communication, whereas a 5G configured grant exposes capacityonly during recurring transmission occasions. This thesis investigates how a TSNscheduler can represent that periodic resource and when its recurring occasions permit admission of a periodic stream. The proposed model describes a configured grant by its period, phase, […]
Read more about Colloquium lecture: September 29,2026, 10:15 a.m., Design and Integration of 5G Scheduling Algorithms into the ITANS TSN Framework.
03SEP 2026
Aktuelles
Colloquium lecture: September 8, 2026, 10:15 a.m., RL-ITANS: Reinforcement Learning-Based Adaptive Operator Selection for Genetic Algorithm Scheduling in Time-Sensitive Networks
Betreuer/in: Baron Time-Sensitive Networking (TSN) extends the IEEE 802.1 Ethernet standard withmechanisms for deterministic, low-latency communication, making it a cornerstonetechnology for industrial automation, autonomous driving, and safety-criticalapplications [1], [2]. Schedule synthesis, the assignment of precise transmissionwindows to time-triggered streams across a network, is a computationally hard problem[3] that makes exact optimization methods impractical for large […]Betreuer/in: Baron Time-Sensitive Networking (TSN) extends the IEEE 802.1 Ethernet standard withmechanisms for deterministic, low-latency communication, making it a cornerstonetechnology for industrial automation, autonomous driving, and safety-criticalapplications [1], [2]. Schedule synthesis, the assignment of precise transmissionwindows to time-triggered streams across a network, is a computationally hard problem[3] that makes exact optimization methods impractical for large […]
Read more about Colloquium lecture: September 8, 2026, 10:15 a.m., RL-ITANS: Reinforcement Learning-Based Adaptive Operator Selection for Genetic Algorithm Scheduling in Time-Sensitive Networks
21JUL 2026
General
Colloquium lecture: July, 28, 2026, 11:00 a.m., Surrogate Modeling Based on Machine Learning Approaches for Hospitals as Microgrids
Betreuer/in: Fellerer Überschrift This thesis investigates the use of machine-learning surrogates for short-term simulation of hospital microgrids, where reliable operation is critical due to high energy demand, local PV generation, battery storage, and strict availability requirements. A synthetic stateful reference simulator was developed to generate 15-minute resolution time-series data, which was used to train and […]Betreuer/in: Fellerer Überschrift This thesis investigates the use of machine-learning surrogates for short-term simulation of hospital microgrids, where reliable operation is critical due to high energy demand, local PV generation, battery storage, and strict availability requirements. A synthetic stateful reference simulator was developed to generate 15-minute resolution time-series data, which was used to train and […]
Read more about Colloquium lecture: July, 28, 2026, 11:00 a.m., Surrogate Modeling Based on Machine Learning Approaches for Hospitals as Microgrids
23JUN 2026
General
Colloquium lecture: June 30, 2026, 10:15 a.m., AI-Supported User Interfaces for Energy System Simulation:Integrating Generative AI for Configuration Assistance and Result Interpretation
Betreuer/in: Bazan Überschrift This master’s thesis investigates whether a GenAI assistant can support energy system simulations by helping users configure parameters and understand results without adding new errors. Energy simulations are difficult because they require many interdependent inputs, and even small mistakes in battery capacity, PV setup, or tariffs can make a run invalid. Two […]Betreuer/in: Bazan Überschrift This master’s thesis investigates whether a GenAI assistant can support energy system simulations by helping users configure parameters and understand results without adding new errors. Energy simulations are difficult because they require many interdependent inputs, and even small mistakes in battery capacity, PV setup, or tariffs can make a run invalid. Two […]
Read more about Colloquium lecture: June 30, 2026, 10:15 a.m., AI-Supported User Interfaces for Energy System Simulation:Integrating Generative AI for Configuration Assistance and Result Interpretation
14JUL 2023
General
Best Presentation Award at RTNS 2023
Our research associate Lisa Maile presented her research on the configuration of TSN (Time-Sensitive Networking) networks at the 31st International Conference on Real-Time Networks and Systems (RTNS) conference in Dortmund. In her research, she analysed existing TSN standards and developed improvements to ensure hard real-time guarantees. She won the Best Presentation Award of the conference […]Our research associate Lisa Maile presented her research on the configuration of TSN (Time-Sensitive Networking) networks at the 31st International Conference on Real-Time Networks and Systems (RTNS) conference in Dortmund. In her research, she analysed existing TSN standards and developed improvements to ensure hard real-time guarantees. She won the Best Presentation Award of the conference […]
Read more about Best Presentation Award at RTNS 2023