Publikationen

Publikationen

2024
2023
  • Weber, S., Guldner, A., Begic Fazlic, L., Dartmann, G., & Naumann, S. Sustainability in Artificial Intelligence-Towards a Green AI Reference Model, Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337. 2023

  • Creutz L. and Dartmann G. , "Decentralized Policy Enforcement in Zero Trust Architectures," 2023 IEEE Future Networks World Forum (FNWF), Baltimore, MD, USA, 2023, pp. 1-6, doi: 10.1109/FNWF58287.2023.10520563. (PDF)

  • Guldner, A., Hoffmann, M., Lohr, C., Machhamer, R., Malburg, L., Morgen, M., Rodermund, S., Schäfer, F., Schaupeter, L., Schneider, J., Theusch, F., Bergmann, R., Dartmann, G., Kuhn, N., Naumann, S., Timm, I., Vette-Steinkamp, M. & Weyers, B. (2023). A framework for AI-based self-adaptive cyber-physical process systems. it - Information Technology. https://doi.org/10.1515/itit-2023-0001

  • Dziubany, M., Schmeink, A. and Dartmann, G., "Energy-efficient Cyber Physical Social System for Transportation with Appointments," 2023 12th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 2023, pp. 1-4, doi: 10.1109/MECO58584.2023.10155043. 
  • Scherer K., Bast S., Murach J., Didas S., Dartmann G. und Wahl M., Hochschule Trier, Umwelt-Campus Birkenfeld "Nachhaltige und intelligente additive Fertigung – Frühzeitige Erkennung von Produktionsfehlern im 3D-Druck durch Künstliche Intelligenz" https://library.gito.de/2023/04/scherer-im-23-02/
2022
  • Begic Fazlic, L., Schacht, M., Morgen, M., Schmeink, A., Lipp, R., Martin, L., Vollmer, T., Winter, S., and Dartmann, G. “Development and Implementation of the Data Science Learning Platform for Research Physician.” Stud Health Technol Inform. 2022 Nov 3;299:196-201. doi: 10.3233/SHTI220983. PMID: 36325863. 
  • Urschel, B., Begic Fazlic, L., Morgen, M., Machhamer, M., Dartmann, G. and K. -U. Gollmer, "A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors," 2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF), Bonn, Germany, 2022, pp. 1-6, doi: 10.1109/SDF55338.2022.9931945. 
  • Morgen, M., Begic Fazlic, L., Peine, A., Martin, L., Schmeink, A., Hallawa, A., & Dartmann, G. "A Visualization and Benchmarking Simulator for Clinical Data." Stud Health Technol Inform. 2022 Nov 3;299:223-228. doi: 10.3233/SHTI220988. PMID: 36325867.  
  • Renkhoff, J., Tan, W., Velasquez, A., Wang, W. Y., Liu, Y., Wang, J., Niu, S., Begic Fazlic, L., Dartmann, G., Song, H. Exploring Adversarial Attacks on Neural Networks: An Explainable Approach, 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2022, pp. 41-42, doi: 10.1109/IPCCC55026.2022.9894322.
  • Guldner, A. and Murach, J. (2022): Measuring and Assessing the Resource and Energy Efficiency of Artificial Intelligence of Things Devices and Algorithms. In: Wohlgemuth, V., Naumann, S., Behrens, G., Arndt, HK., Höb, M. (eds) Advances and New Trends in Environmental Informatics. ENVIROINFO 2022. Progress in IS. Springer, Cham. DOI: 10.1007/978-3-031-18311-9_11
  • L. Creutz, J. Schneider and G. Dartmann, "Distributed Hash Table with Extensible Remote Procedure Calls," 2022 5th International Conference on Computational Intelligence and Networks (CINE), Bhubaneswar, India, 2022, pp. 1-6, doi: 10.1109/CINE56307.2022.10037367. (PDF)
  • GitLab: https://gitlab.rlp.net/l.creutz/fides und https://gitlab.rlp.net/landleuchten/grond-paper 
  •  L. Begic Fazlic, A. Halawa, A. Schmeink, R. Lipp, L. Martin, A. Peine, M. Morgen, T. Vollmer, Stefan Winter and G. Dartmann, A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int J Comput Intell Syst  15, 50 (2022). https://doi.org/10.1007/s44196-022-00100-w
  • GitLab: gitlab.rlp.net/l.begic899724/anomalydetection
  • L. Creutz, K. Wagner and G. Dartmann, "Cyber-Physical Contracts in Offline Regions," 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2022, pp. 461-469, doi: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00097. (PDF)
  • GitLab: gitlab.rlp.net/l.creutz/fides
  • A. Ayad, A. Hallawa, A. Peine, L. Martin, L. Begic Fazlic, G. Dartmann, G. Marx, A. Schmeink, Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study, JMIR Med Inform 2022;10(8):e37658, URL: https://medinform.jmir.org/2022/8/e37658, DOI: 10.2196/37658
2021
  • L.Creutz, J. Schneider and G. Dartmann, Fides: Distributed Cyber-Physical Contracts, 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2021, pp. 51-60, doi: 10.1109/TPSISA52974.2021.00006. (PDF)
  • GitLab: gitlab.rlp.net/l.creutz/fides
  • G. Dartmann (Hrsg.), A. Schmeink (Hrsg.), V. Lücken (Hrsg.), H. Song (Hrsg.), M. Ziefle (Hrsg.), Giovanni Prestiflippo (Hrsg.), Smart Transportation: AI Enabled Mobility and Autonomous Driving, CRC Press. doi.org/10.1201/9780367808150
  • M. Dziubany, S. Kopp, L. Creutz, J. Schneider, A. Schmeink, G. Dartmann, Artificial Intelligence for Fleets of Autonomous Vehicles: Desired Requirements and Solution Approaches, Chapter in Smart Transportation: AI Enabled Mobility and Autonomous Driving, Verlag CRC Press, 2021
  • L. Creutz, S. Kopp, J. Schneider, M. Dziubany, Y. Becker, G. Dartmann, Simulation Platforms for Autonomous Driving and Smart Mobility: Simulation Platforms, Concepts, Software, APIs, Chapter in Smart Transportation: AI Enabled Mobility and Autonomous Driving, Verlag CRC Press, 2021  
  • L. D. Schuck, R. Lipp, L. Begic-Fazlic, G. Dartmann, A. Schmeink,"Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory," 2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY), Subotica, Serbia, 2021, pp. 15-20, doi: 10.1109/SISY52375.2021.9582509. 
  • A. Hallawa, T. Born, A. Schmeink, G. Dartmann, A. Peine, L. Martin, G. Iacca, A. E. Eiben, and G. Ascheid. 2021. Evo-RL: evolutionary-driven reinforcement learning. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, New York, NY, USA, 153–154. DOI:https://doi.org/10.1145/3449726.3459475
  • E. Oral, A. Schmeink, G. Dartmann, G. Ascheid, A. E. Pusane and G. K. Kurt, Consensus Analysis of Wireless Multi-Agent Systems Over Fading Channels, in IEEE Wireless Communications Letters, vol. 10, no. 7, pp. 1528-1531, July 2021, doi: 10.1109/LWC.2021.3073170.
  • A. Peine, A. Hallawa, J.  Bickenbach, G. Dartmann, L. Begic Fazlic, A. Schmeink, G. Ascheid, C. Thiemermann, A. Schuppert, R. Kindle, L. Celi, G. Marx, L. Martin, Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Med. 4, 32 (2021). https://www.nature.com/articles/s41746-021-00388-6.pdf
  • R. Lipp, G. Dartmann, L. Begic-Fazlic, T. Vollmer, S. Winter, A. Peine, L. Martin and A. Schmeink, "Incremental Parameter Estimation of Stochastic State-Based Models," 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), Herl'any, Slovakia, 2021, pp. 000317-000322, doi: 10.1109/SAMI50585.2021.9378693. 
2020
  • L. Creutz and G. Dartmann, "Cypher Social Contracts A Novel Protocol Specification for Cyber Physical Smart Contracts," 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Rhodes Island, Greece, 2020, pp. 440-447, doi: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00083. (PDF)
  • GitLab: gitlab.rlp.net/l.creutz/fides
  • M. O. Demir, A. E. Pusane, G. Dartmann, G. Ascheid and G. K. Kurt, A Garden of Cyber Physical Systems: Requirements, Challenges, and Implementation Aspects, in IEEE Internet of Things Magazine, vol. 3, no. 3, pp. 84-89, September 2020, doi: 10.1109/IOTM.0001.1900056.
  • O. A. Topal, M. Ö. Demir, Z. Liang, A. E. Pusane, G. Dartmann, G. Ascheid, and G. Karabulut Kurt, A Physical Layer Security Framework for Cognitive Cyber-Physical Systems, in IEEE Wireless Communications, vol. 27, no. 4, pp. 32-39, August 2020, doi: 10.1109/MWC.01.1900543.
  • R. Machhamer, M. Garling, L. Czenkusch, K. Ueding, A. Guldner, J. Schneider, A. Latif, A. Schmeink, S. Naumann, K.-U. Gollmer and G. Dartmann, Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks, Mediterranean Conference on Embedded Computing (MECO'2020), IEEE, 2020
  • GitLab: gitlab.rlp.net/r.machhamer890538/edge-runtime-learning-art-nose-erlan
  • R. Machhamer, J. Altenhofer, K. Ueding, L. Czenkusch, F. Stolz, M. Harth, M. Mattern, A. Latif, S. Haab, J. Herrmann, A. Schmeink, K.-U. Gollmer, and G. Dartmann, Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection, International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT'2020), IEEE, 2020 
  • M. Dziubany, L. Creutz, S. Kopp, J. Schneider, A. Schmeink and G. Dartmann, "Development of a Cyber-Physical System for an Autonomous Indoor Transportation Service," 2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020 PDF
  • L. Begic Fazlic, A. Hallawa, M. Dziubany, M. Morgen, J. Schneider, M. Schacht, A. Schmeink, L. Martin, A. Peine, T. Vollmer, S. Winter, and G. Dartmann, "A Machine Learning Approach for the Classification of Disease Risks in Time Series," 2020 9th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 2020, pp. 1-5, doi: 10.1109/MECO49872.2020.9134275.
  • GitLab: gitlab.rlp.net/l.begic899724/risk_classification/
  • M. Dziubany, J. Schneider, A. Schmeink and G. Dartmann, "Optimization of a CPSS-based Flexible Transportation System," 2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020
  • A. Schmeink, L. Martin, G. Ascheid, G. Marx, G. Dartmann, C. Thiemermann, T. Bäck: Verfahren zum Entwickeln von Aptamerstrukturen, patent filed,  DE 10 2019 116 245 (Offenlegungsschrift)
2019
  • R. Machhamer, M. Dziubany, L. Czenkusch, H. Laux, A. Schmeink, K.-U. Gollmer, S. Naumann, G. Dartmann, Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware, in IEEE Access. doi: 10.1109/ACCESS.2019.2947581, 2019, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8869796&isnumber=6514899
  • A. Peine, A. Hallawa, O. Schöffski, G. Dartmann, L. Begic Fazlic, A. Schmeink, G. Marx, L. Martin, A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study, JMIR Med Inform, 2019;7(4):e14806 URL: https://medinform.jmir.org/2019/4/e14806 DOI: 10.2196/14806
  • M. Hauck, R. Machhamer, L. Czenkusch, K.-U. Gollmer and G. Dartmann, Node and Block-based Development Tools for Distributed Systems with AI Applications, in IEEE Access. doi: 10.1109/ACCESS.2019.2940113, 2019, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8827469&isnumber=6514899
  • GitLab: https://gitlab.rlp.net/iot-pilot-repo/iot-pilot 
  • A. Ayad, A. Zamani, A. Schmeink, G. Dartmann, Design and Implementation of a Hybrid Anomaly Detection System for IoT, Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS), IEEE, 2019, 
  • P. Vieting, R. C. de Lamare, L. Martin, G. Dartmann* and A. Schmeink*, Likelihood-Based Adaptive Learning in Stochastic State-Based Models, IEEE Signal Processing Letters, (*Corresponding Authors)
  • L. Begic Fazlic, A. Hallawa, A. Schmeink, A. Peine, L. Martin and G. Dartmann, "A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines," 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, 2019, pp. 1025-1030, doi: 10.23919/MIPRO.2019.8756929. 
  • GitLab: gitlab.rlp.net/l.begic899724/NLP-FUZZY
  • A. Zamani, O. Taghizadeh, G. Dartmanny, R. Mathar and A. Schmeink, Joint User Association and Robust Beamforming Optimization for C-RANs with Wireless Fronthauls, The 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019)
  • A. Zamani, M. Klimke, G. Dartmann and A. Schmeink, "Convolutive Blind Source Separation with Independent Vector Analysis and Beamforming," 2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), Kuala Lumpur, Malaysia, 2019
  • O. A. Topal, M. Ö. Demir, G. Dartmann, A. Schmeink, G. Ascheid, A. E. Pusaney, and G. Karabulut Kurt, Physical Layer Spoofing Against Eavesdropping Attacks, The 8th Mediterranean Conference on Embedded Computing - MECO'2019 
  • A. Hallawa, E. Zechendorf, Y. Song, A. Schmeink, A. Peine, L. Martin, G. Ascheid, G. Dartmann, On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets, 22nd International Conference on the Applications of Evolutionary Computation, Springer, 2019
  • G. Dartmann (Hrsg.), H. Song (Hrsg.), and A. Schmeink (Hrsg.),  Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376, 2019,  Co-Author of the following Chapters within the Book:
  • J. Schneider, M. Dziubany, A. Schmeink, G. Dartmann, K.-U. Gollmer, S. Naumann, Predicting energy consumption using machine learning, Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376
  • S. Mohammed, A. Bytyn, G. Ascheid, G. Dartmann, Reinforcement Learning and Deep Neural Network for Autonomous Driving, Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376, 
  • M. Dziubany, M. Garling, A. Schmeink, G. Burger, G. Dartmann, S. Naumann, K. Gollmer, Machine Learning Based Artificial Nose on a Low-Cost IoT-Hardware, Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376,   
  • A. Hallawa,  Z. Song, A. Peine, L. Martin, A. Schmeink, G. Ascheid, G. Dartmann, Machine Learning in Future Intensive Care: Classification of Stochastic Petri Nets via Continuous-time Markov Chains, Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376, 
  • M. Ö,  Demir, A. E. Pusane, G. Dartmann, G. Karabulut Kurt, Utility Privacy Trade-off in Communication Systems, Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376,
  • K. Gollmer, S. Kreten, F. Stolz, G. Dartmann, G. Burger, IoT-Workshop: Blueprint for pupils education in IoT, Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition, Elsevier, Paperback ISBN: 9780128166376, 
  • M. Demir , O. Topal, G. Dartmann, A. Schmeink, G. Ascheid, G. Karabulut Kurt, and A. E. Pusane, Using Perfect Codes in Relay Aided Networks: A Security Analysis, 15th International Conference on Wireless and Mobile Computing, Networking and Communications, IEEE, (accepted for publication), 2019
2018
  • S. Tedik Basaran, G. Karabulut Kurt, G. Oke Günel, A. Schmeink, G. Ascheid and G. Dartmann, The Safety Analysis: Disagreement Analysis of Wireless Communication-based Consensus. IEEE Wireless Communication Letters, 2018
  • C. Pallasch, A. Peitz, W. Herfs, A. Schmeink, and G. Dartmann: Novel approach for wireless commissioning and assisted process development based on Bluetooth Low Energy, in 23rd International Conference on Emerging Technologies and Factory Automation IEEE, 2018
  • M. Dziubany, R. Machhamer, H. Laux, A. Schmeink, K. Gollmer, G. Burger and G. Dartmann. Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware, 26th European Signal Processing Conference (EUSIPCO), 2018
  • GitLab: github.com/dziubany/ML-Localization
  • H. Laux, A. Bytyn, G. Ascheid, A. Schmeink, G. Karabulut Kurt and G. Dartmann. Learning-Based Indoor Localization for Industrial Applications. Workshop on Sensor Data Fusion and Machine Learning for next Generation of Cyber-Physical-Systems in conjunction with ACM International Conference on Computing Frontiers 2018
  • D. Hinkelmann, A. Schmeink and G. Dartmann. Distributed learning-based state prediction for multi-agent systems with reduced communication effort Workshop on Sensor Data Fusion and Machine Learning for next Generation of Cyber-Physical-Systems in conjunction with ACM International Conference on Computing Frontiers 2018
  • P. Vieting, R. C. de Lamare, L. Martin, G. Dartmann and A. Schmeink, An Adaptive Learning Approach to Parameter Estimation for Hybrid Petri Nets in Systems Biology, IEEE Statistical Signal Processing Workshop (SSP), 2018
  • E. Zechendorf, P. Vaßen, J. Zhang, A. Hallawa, A. Martincuks, O. Krenkel, G. Müller-Newen, T. Schuerholz, T.-P. Simon, G. Marx, G. Ascheid, A. Schmeink, G. Dartmann, C. Thiemermann and L. Martin. Heparan sulfate induces necroptosis in murine cardiomyocytes – a Medical-In-Silico approach using machine learning,  Frontiers in Immunology, 2018.
  • M. Dziubany, J. Schneider, A. Schmeink, G. Dartmann, K.-U. Gollmer, and S. Naumann. Prognose von Wärmeverbräuchen: Stolpersteine und Lösungen. Umweltinformatik zwischen Nachhaltigkeit und Wandel, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, 2018.
  • M. Ö. Demir, G. Karabulut Kurt, G. Dartmann, G.  Ascheid, and A. E. Pusane: Security Analysis of Forward Error Correction Codes in Relay Aided Networks, in Global Information Infrastructure and Networking Symposium 2018 ©2018 IEEE
  • O. A. Topal, Z. Liang, G. Ascheid, G. Dartmann, and G. Karabulut Kurt:  Using of Wavelets for Secret Key Generation: A Measurement Based Study, in Telecommunications forum 2018 ©2018 IEEE
2017
  • O. Cepheli, G. Dartmann, G. Karabulut Kurt, and G. Ascheid, A Joint Optimization Scheme for Artificial Noise and Transmit Filter for Half and Full Duplex Wireless Cyber Physical Systems. IEEE Transactions on Sustainable Computing, 2017.
  • G. Dartmann, M.  O. Demir, H. Laux, V. Lucken, N. Bajcinca, G. Karabulut Kurt, G. Ascheid, and M. Ziefe. Tutorial on information theoretic metrics quantifying privacy in cyber-physical systems. Security and Privacy in Cyber-Physical Systems, (Wiley), 2017. 
  • O. Cepheli, G. Dartmann, G. Karabulut Kurt, and G. Ascheid. An encryption aware physical layer security system. ICC2017: IEEE International Workshop on Smart Communication Protocols and Algorithms, 2017.
  • S. Gökceliy, Ö. Cepheli, S. Tedik Basaran, G. Karabulut Kurt, G. Dartmann, and G. Ascheid. How effective is the artificial noise? real-time analysis of a phy security scenario. IEEE Global Communications Conference: Workshops: 5th IEEE GLOBECOM Workshop on Trusted Communications with Physical Layer Security, 2017.
  • M.  O. Demir, G. Karabulut Kurt, V. Lucken, G. Ascheid, and G. Dartmann. Impact of the communication channel on information theoretical privacy. IEEE International Symposium on Information Theory (ISIT), 2017.
  • M.  O. Demir, S. Gokceliy, G. Dartmann, Lucken, Ascheid, and G. Karabulut Kurt. Utility privacy trade-off for noisy channels in OFDM systems. IEEE Vehicular Technology Conference, (VTC Fall), 2017.
2016
  • G. Dartmann, E. Modarresi, M. Barhoush, N. Bajcinca, G. Karabulut Kurt, V. Lucken, E. Zandi, and G. Ascheid. Adaptive control in cyber-physical systems: Distributed consensus control for wireless cyber-physical systems. Cyber-Physical Systems: Foundations, Principles and Applications (Elsevier), 2016.
  • O. Cepheli, V. Lucken, G. Karabulut Kurt, G. Dartmann, and G. Ascheid. Physical layer security in the last mile technology of mobile networks, protecting mobile networks and devices: Challenges and solutions. CRC Press, Taylor and Francis, Series in Security, Privacy and Trust, 2016
2015
  • H. Li, Z. Liang, G. Kurt, G. Ascheid, and G. Dartmann. Secure probability map: Transmission policy design for passive eavesdroppers in correlated channels. In Proceedings of IEEE Vehicular Technology Conference (VTC-Fall), Sept. 2015
  • H. Li, Z. Liang, G. Kurt, G. Ascheid, and G. Dartmann. Channel correlation map based indoor-to-outdoor arti cial noise design and secrecy analysis. In European Wireless, May 2015
  • E. Zandi, G. Dartmann, G. Ascheid, and R. Mathar. Fast power control for amplify-and forward multiple-antenna bidirectional relays. In Iran Workshop on Communication and Information Theory (IEEE), 2015
  • N. Bajcinca, G. Dartmann, K. Sun, V. Handzinski, S. Guma, and G. Ascheid. Towards a novel drive-by-wireless vehicular technology. In VDI AUTOREG 2015, VDI-Berichte. VDI, June 2015
  • V. Lucken, T. Singh, G. Cepheli,  O. Karabulut Kurt, A. G., and G. Dartmann. Filter hopping: Physical layer secrecy based on FBMC. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), 2015
  • O. Cepheli, V. Lucken, G. Dartmann, G. Karabulut Kurt, and G. Ascheid. Adaptive physical layer security framework for wireless systems. In Proceedings of IEEE Vehicular Technology Conference (VTC-Spring), 2015
2014
  • S. Schlupkothen, G. Dartmann, and G. Ascheid. A novel low-complexity numerical localization method for dynamic wireless sensor networks. IEEE Transactions on Signal Processing, 2014
  • G. Dartmann, E. Zandi, and G. Ascheid. A modi ed Levenberg-Marquardt method for the bidirectional relay channel. IEEE Transactions on Vehicular Technology, Nov. 2014
  • X. Gong, A. Ispas, G. Dartmann, and G. Ascheid. Outage-constrained power allocation in spectrum sharing systems with partial CSI. IEEE Transactions on Communications, Feb. 2014
  • G. Dartmann, V. Lücken,  O. Cepheli, G. Karabulut Kurt, and G. Ascheid. Filter optimization aided interference management with improved secrecy. In Proceedings of IEEE Vehicular Technology Conference (VTC-Fall), Sept. 2014
  • O. Cepheli, G. Dartmann, G. Karabulut Kurt, and G. Ascheid. Beamforming aided interference management for improved secrecy in multicell environments. In European Wireless 2014, Mar. 2014
  • G. Dartmann,  O. Cepheli, G. Karabulut Kurt, and G. Ascheid. Beam forming aided interference management with improved secrecy for correlated channels. In Proceedings of IEEE Vehicular Technology Conference (VTC-Spring), May 2014
2013
  • G. Dartmann and G. Ascheid. Equivalent quasi-convex form of the multicast max-min beam forming problem. IEEE Transactions on Vehicular Technology, Nov. 2013
  • G. Dartmann, X. Gong, and G. Ascheid. Application of graph theory to the multicell beam scheduling problem. IEEE Transactions on Vehicular Technology, May 2013
  • X. Gong, A. Ispas, G. Dartmann, and G. Ascheid. Power allocation and performance analysisin spectrum sharing systems with statistical CSI. IEEE Transactions on Wireless Communications, Apr. 2013
  • G. Dartmann, X. Gong, W. Afzal, and G. Ascheid. On the duality of the max-min beam forming problem with per antenna and per antenna array power constraints. IEEE Transactions on Vehicular Technology, Feb. 2013
  • S. Schlupkothen, G. Dartmann, and G. Ascheid. Exploration with massive sensor swarms. In IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec. 2013
  • G. Dartmann, X. Gong, and G. Ascheid. Low complexity cooperative multicast beamforming in heterogeneous networks. In Proceedings of IEEE Vehicular Technology Conference (VTCSpring), 2013
2012
  • G. Dartmann, X. Gong, and G. Ascheid. Beam forming with relays in heterogeneous networks based on correlation knowledge. In 14th IEEE International Conference on Communication Technology, (ICCT), Nov. 2012
  • X. Gong, G. Dartmann, A. Ispas, and G. Ascheid. Optimal power allocation in a spectrum sharing system with partial CSI. In 75th IEEE Vehicular Technology Conference, (VTC Fall), May 2012
  • G. Dartmann, X. Gong, and G. Ascheid. On the pareto optimum of long-term max-min beam forming with general power constraints. In IEEE Sarno Symposium, May 2012
  • H. W. Lollmann, G. Dartmann, and P. Vary. Constrained design of all pass transformed DFT fi lter-banks by quadratic programming. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2012
2011
  • G. Dartmann, D. K. Shah, X. Gong, and G. Ascheid. Beamforming with relays in multicell networks based on correlation knowledge. In IEEE GLOBECOM Workshops (GC Workshops), Dec. 2011
  • G. Dartmann, X. Gong, and G. Ascheid. Max-min beamforming with cooperative multipoint transmission. In 74th IEEE Vehicular Technology Conference, (VTC Fall), Sept. 2011
  • X. Gong, A. Ishaque, G. Dartmann, and G. Ascheid. Duality-based robust transceiver design for cognitive downlink systems. In 74th IEEE Vehicular Technology Conference, (VTC Fall), Sept. 2011
  • A. Ispas, C. Schneider, G. Dartmann, X. Gong, G. Ascheid, and R. Thoma. Analysis of mismatched downlink beamforming over non-stationary channels with interference. In Proc. XXX General Assembly Scienti c Symp. Int. Union Radio Science (URSI), Aug. 2011
  • G. Dartmann, X. Gong, and G. Ascheid. Low complexity cooperative multicast beamforming in multiuser multicell downlink networks. In 6th IEEE International ICST Conference on Cognitive Radio Oriented Wireless Networks, June 2011
  • G. Dartmann, W. Afzal, X. Gong, and G. Ascheid. Joint optimization of beamforming, user scheduling, and multiple base station assignment in a multicell network. In IEEE Wireless Communications and Networking Conference, (WCNC), Mar. 2011
  • X. Gong, A. Ishaque, G. Dartmann, and G. Ascheid. MSE-based stochastic transceiver optimization in downlink cognitive radio networks. In IEEE Wireless Communications and Networking Conference, (WCNC), 2011
  • G. Dartmann and X. Gong. Dynamically scheduling connections of mobile stations in neighbouringcells in a mobile telecommunication network. European Patent No. EP2337418, June 2011, (Offenlegungsschrift)
2010
  • G. Dartmann, W. Afzal, X. Gong, and G. Ascheid. Low complexity cooperative downlink beamforming in multiuser multicell networks. In 12th IEEE International Conference on Communication Technology, (ICCT), Nov. 2010
  • G. Dartmann, X. Gong, and G. Ascheid. Cooperative beamforming with multiple base station assignment based on correlation knowledge. In 72nd IEEE Vehicular Technology Conference, (VTC Fall), Sept. 2010
  • X. Gong, A. Ishaque, G. Dartmann, and G. Ascheid. MSE-based linear transceiver optimization in MIMO cognitive radio networks with imperfect channel knowledge (CIP). In IAPR Workshop on Cognitive Information Processing, June 2010
  • X. Gong, M. Jordan, A. Ishaque, G. Dartmann, and G. Ascheid. Robust MSE-based transceiver optimization in MISO downlink cognitive radio network. In IEEE Wireless Communications and Networking Conference, (WCNC), Apr. 2010
  • G. Dartmann, X. Gong, and G. Ascheid. Jointly optimized transmit beamforming and temporal user scheduling in multiuser multicell scenarios based on correlation knowledge. In IEEE Sarnoff Symposium, Apr. 2010
2009
  • X. Gong, M. Jordan, G. Dartmann, and G. Ascheid. Max-min beamforming for multicell downlink systems using long-term channel statistics. In 20th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Sept. 2009
  • H. W. Lollmann, G. Dartmann, and P. Vary. General least-squares design of all pass transformed DFT fi lter-banks. In Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2009
  • G. Dartmann, M. Jordan, X. Gong, and G. Ascheid. Jointly optimized beamforming in multicell scenarios based on correlation knowledge. In ITG-Fachtagung Mobilkommunikation, May 2009
  • G. Dartmann, M. Jordan, X. Gong, and G. Ascheid. Intercell interference mitigation with longterm beamforming and low SINR feedback rate in a multiuser multicell unicast scenario. In 69th IEEE Vehicular Technology Conference, (VTC Spring), Apr. 2009
  • M. Jordan, G. Dartmann, and G. Ascheid. Beamforming in single frequency networks with connection control. In 69th IEEE Vehicular Technology Conference, (VTC Spring), Apr. 2009
2008
  • H. W. Lollmann, G. Dartmann, and P. Vary. Design of multiple order all pass transformed DFT filter-banks with aliasing-free signal reconstruction by linear programming. ITG Conference on Voice Communication [8. ITG-Fachtagung], Oct. 2008
  • H. W. Lollmann, G. Dartmann, and P. Vary. Least-squares design of subsampled all pass transformed DFT lter-banks with LTI property. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2008

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