Forschungsprojektdetails

Publikationstyp: Aufsatz / Paper in SCI-Expanded-Zeitschrift

1. Doppler Aliasing in OFDM Radar - A Method for Reducing the ADC Sampling Frequency without Losing Range Resolution
2. Effects of Doppler-Division Multiplexing on OFDM Joint Sensing and Communication Systems
3. Neural Network Approaches for Data Estimation in Unique Word OFDM Systems
4. SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers
5. Range-Division Multiplexing for MIMO OFDM Joint Radar and Communications
6. DL-Based Physical Tamper Attack Detection in OFDM Systems with Multiple Receiver Antennas: A Performance-Complexity Trade-Off
7. Diagnostic quality assessment for low-dimensional ECG representations
8. Efficient Majority Voting in Digital Hardware
9. Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities
10. Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions
11. Uncertainty Estimation for Deep Learning-based Thermographic Imaging
12. VPNET: Variable Projection Networks
13. Deep learning approaches for thermographic imaging

Publikationstyp: Aufsatz / Paper in Tagungsband (referiert)

1. Channel Attenuation in Droplet-based Microfluidic Networks: First Experimental Studies
2. End-to-End Learning of Communication Systems with Novel Data-Efficient IIR Channel Identification
3. Joint Self-Interference Cancellation and Data Estimation for OFDM Based Full-Duplex Communication Systems
4. Learning to Modulate pre-trained Models in RL
5. Neural Network Based Single-Carrier Frequency Domain Equalization
6. Novel Nano-Machine Architecture for Machine Learning in the IoBNT
7. Salinity and Droplets: First Realization of Microfluidic Multiplexing
8. Towards Asymmetric Auto-Encoders for the IoBNT
9. Towards End-to-End Learning for Salinity-based Molecular Communication
10. Towards Molecular Machine Learning for the IoBNT
11. Trustworthiness Score for UWB Indoor Localization
12. A Soft Interference Cancellation Inspired Neural Network for SC-FDE
13. Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
14. Data Trustworthiness for UWB Ranging in IoT
15. Foundation Models for History Compression in Reinforcement Learning
16. Salinity-Based Information Transmission in Microfluidic Channels
17. Modern Hopfield Networks for Return Decomposition for Delayed Rewards
18. Neural Network Based Data Estimation for Unique Word OFDM
19. Neural Network Optimal UW-OFDM

Publikationstyp: Aufsatz / Paper in Tagungsband (nicht-referiert)

1. VPNet: Variable Projection Networks

Publikationstyp: Aufsatz / Paper in Sammelwerk (referiert)

1. XAI and Strategy Extraction via Reward Redistribution

Publikationstyp: Dissertation

1. Machine Learning Concepts for Physical Layer Receiver Processing in Wireless Communication Systems

Publikationstyp: Diplom- oder Masterarbeit

1. Neural Network Based Data Estimation

Publikationstyp: Preprint

1. Semantic HELM: An Interpretable Memory for Reinforcement Learning
2. Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

Vortragstyp: Hauptvortrag / Eingeladener Vortrag auf einer Tagung

1. Data-driven versus Classical Approaches for the Physical Layer, Austria, (22.11.2023) 

Vortragstyp: Vortrag auf einer Tagung (referiert)

1. End-to-End Learning of Communication Systems with Novel Data-Efficient IIR Channel Identification, United States of America, (30.10.2023) 
2. Salinity and Droplets: First Realization of Microfluidic Multiplexing, United Kingdom of Great Britain and Northern Ireland, (22.09.2023) 
3. Towards End-to-End Learning for Salinity-based Molecular Communication, Germany, (12.04.2023) 
4. Salinity-Based Information Transmission in Microfluidic Channels, Spain, (06.10.2022) 
5. Neural Network Based Single Carrier Frequency Domain Equalization, Spain, (24.02.2022) 

Vortragstyp: Vortrag auf einer Tagung (nicht referiert)

1. Droplet-based Information Transmission in Microfluidic Chips, Germany, (12.04.2023) 
2. Salinity-based Information Transmission in Microfluidic Chips, Germany, (12.04.2023) 
3. Deep Unfolding for Data Estimation in Wireless Communication Systems, Netherlands, (28.02.2023) 

Vortragstyp: Posterpräsentation

1. Soft Interference Cancellation Inspired Neural Network Equalizers, Austria, (22.11.2023) 
2. Joint Self-Interference Cancellation and Data Estimation for OFDM Based Full-Duplex Communication Systems, United States of America, (30.10.2023) 
3. Towards Asymmetric Auto-Encoders for the IoBNT, United Kingdom of Great Britain and Northern Ireland, (20.09.2023) 
4. Towards Molecular Machine Learning for the IoBNT, United Kingdom of Great Britain and Northern Ireland, (20.09.2023) 
5. Machine Learning- Versus Model-Based Self-Interference Mitigation in 4G/5G Mobile Transceivers, United States of America, (01.11.2022) 
6. A Soft Interference Cancellation Inspired Neural Network for SC-FDE, Finland, (05.07.2022) 
7. Neural Network Based Data Estimation for Unique Word OFDM, Austria, (01.11.2021) 

Vortragstyp: Andere Vorträge und Präsentationen

1. Tutorial: Machine Learning in the IoBNT: Exploiting the Potential of Nano-Scale Communication and Computing, Sweden, (05.05.2024) 
2. How to write a response letter, Austria, (12.10.2022)