Bastian Heinlein
Chair of Digital Communications
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Molecular Communications, Epidemiology, Complex Systems, Machine Learning
Bastian Heinlein (Graduate Student Member, IEEE) received the B.Sc. degree in Information and Communication Technology and the M.Sc. degree in Advanced Signal Processing and Communications Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) in 2021 and 2024, respectively. In 2024, he joined the Institute for Digital Communications at FAU Erlangen-Nürnberg, where he is currently working toward the Ph.D. degree as a doctoral researcher. He is also affiliated with the Resilient Communication Systems Laboratory, Technical University of Darmstadt, Darmstadt, Germany. Since 2026, he has been a member of the Graduate Center for Doctoral Researchers at the Bavarian Research Institute for Digital Transformation. His research interests include complex systems, information theory, and communications engineering, with an emphasis on olfactory communication and machine learning for molecular communications.
2026
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The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning
In: Transactions on Machine Learning Research (2026)
ISSN: 2835-8856
URL: https://openreview.net/forum?id=UP9bx1WJwR
BibTeX: Download
2025
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Experimental Analysis of Surface-induced Molecular Adsorption in Static Airborne Molecular Communication Environments
12th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2025 (Chengdu, October 2025 - October 2025)
In: NanoCom 2025 - Proceedings of the 12th ACM International Conference on Nanoscale Computing and Communication 2025
DOI: 10.1145/3760544.3765639
BibTeX: Download - , , , , , , , , :
Molecule Mixture Detection and Alphabet Design for Non-linear, Cross-reactive Receiver Arrays in MC
NANOCOM '25: 12th Annual ACM International Conference on Nanoscale Computing and Communication (Chengdu, October 2025 - October 2025)
In: NANOCOM '25: Proceedings of the 12th Annual ACM International Conference on Nanoscale Computing and Communication 2025
DOI: 10.1145/3760544.3764126
BibTeX: Download - , , , , , , :
Airborne Molecular Communication Using MOS Sensors under Controlled Airflow
12th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2025 (Chengdu, CHN, October 2025 - October 2025)
In: NanoCom 2025 - Proceedings of the 12th ACM International Conference on Nanoscale Computing and Communication 2025
DOI: 10.1145/3760544.3765636
BibTeX: Download
2024
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Closing the Implementation Gap in MC: Fully Chemical Synchronization and Detection for Cellular Receivers
In: IEEE Transactions on Molecular, Biological and Multi-Scale Communications (2024), p. 1-1
ISSN: 2372-2061
DOI: 10.1109/TMBMC.2024.3486190
BibTeX: Download
2023
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Stochastic Chemical Reaction Networks for MAP Detection in Cellular Receivers
10th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2023 (Coventry, September 2023 - September 2023)
In: NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication 2023
DOI: 10.1145/3576781.3608709
BibTeX: Download - , :
Unraveling the role of adapting risk perception during the COVID-19 pandemic in Europe
In: Chaos Solitons & Fractals 177 (2023), Article No.: 114264
ISSN: 0960-0779
DOI: 10.1016/j.chaos.2023.114264
BibTeX: Download
- , , , , , , , , : Best Paper Award (12th ACM International Conference on Nanoscale Computing and Communication, Chengdu, China) – 2025