Publications

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Mørup, C., Kloborg, A. & Lucani Rötter, D. E. (2022). Extreme Bitmapping: Efficiently Sorting Data for Cloud Compression. In 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (pp. 247-251). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978780

Mohammadi, M. S., Zhang, Q. & Dutkiewicz, E. (2015). Exploiting Partial Packets in Random Linear Codes using Sparse Error Recovery. I E E E International Conference on Communications, 2015, 2577-2582. https://doi.org/10.1109/ICC.2015.7248713

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2021). Exploiting DLMS/COSEM Data Compression To Learn Power Consumption Patterns. In 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021 (pp. 346-351). IEEE. https://doi.org/10.1109/SmartGridComm51999.2021.9632291

Madsen, T. K., Zhang, Q., Fitzek, F. H. P. & Katz, M. (2009). Exploiting cooperation for performance enhancement and high data rates. Journal of Communications, 4(3), 193-202.

Zhang, Q., Fitzek, F. H. P. & Katz, M. (2006). Evolution of heterogeneous wireless networks: Towards cooperative networks. In 3nd International Conference of the Center for Information and Communication Technologies (CICT)- Mobile and wireless content, services and networks - Short-term and long-term development trends http://kom.aau.dk/~ff/documents/CICT3rd.pdf

Fan, W., Haiyang, Y., Zhongda, Z., Xiaobo, Z., Yuzhang, Z. & Haiyan, W. (2025). ESTMST-ST: An End-to-End Soft Threshold and Multiloss Self-Distillation Based Swin Transformer for Underwater Acoustic Signal Recognition. IEEE Transactions on Geoscience and Remote Sensing, 63, Article 4200813. https://doi.org/10.1109/TGRS.2024.3520860

Zhao, X. & Lucani Rötter, D. E. (Accepted/In press). EntroGD: Scalable Generalized Deduplication for Efficient Direct Analytics on Compressed IoT Data. In IEEE INFOCOM Workshops IEEE.

Alam, M. & Zhang, Q. (2018). Enhanced Compressed Sensing Based Multiuser Detection for Machine Type Communication. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (pp. 1-6). IEEE. https://doi.org/10.1109/WCNC.2018.8377222

Zhang, Q. (2013). Energy Saving Efficiency Comparison of Transmit Power Control and Link Adaptation in BANs. I E E E International Conference on Communications, 1672 - 1677. https://doi.org/10.1109/ICC.2013.6654757

Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. In 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685613

Mohammadi, M. S., Zhang, Q., Dutkiewicz, E., Huang, X. & Vesilo, R. (2014). Energy-Delay Tradeoffs in Impulse-based Ultra-Wideband Body Area Networks with Noncoherent Receivers. Globecom. I E E E Global Telecommunications Conference, 2014, 4014-4019. https://doi.org/10.1109/GLOCOM.2014.7037435

Lucani Rötter, D. E. & Kliewer, J. (2011). Energy-Delay Considerations in Coded Packet Flows. In Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on (pp. 796-800). IEEE . https://doi.org/10.1109/ISIT.2011.6034244

Kuldeep, G. & Zhang, Q. (2020). Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Article 9322181 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322181

Paramanathan, A., Pedersen, M. V., Lucani Rötter, D. E., Fitzek, F. H. P. & Katz, M. (2013). Energy and Power Measurements for Network Coding in the Context of Green Mobile Clouds. In Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on (pp. 1-5). VDE. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6629696

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2021: Proceedings Article 9484460 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

Kretsis, A., Kokkinos, P., Varvarigos, E., Syrivelis, D., Bakopoulos, P., Sipos, M., Fehér, M., Lucani Rötter, D. E., Bernabe, J. M., Skarmeta, A., Paez, I., Cominardi, L., Mercier, M., Velho, P., Georgiou, Y., Mainas, C., Nanos, A., Martin, J., Fernandez Gomez, A. ... Chintamani, K. (2024). EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing. In HPDC 2024 - Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing (pp. 385 - 388). Association for Computing Machinery. https://doi.org/10.1145/3625549.3658814

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). Efficient High-Resolution Deep Learning: A Survey. ACM Computing Surveys, 56(7), 1 - 35. Article 181. https://doi.org/10.1145/3645107

Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K., Zhang, Q. & Guo, M. (2022). Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

Liu, J. & Zhang, Q. (2019). Edge Computing Enabled Mobile Augmented Reality with Imperfect Channel Knowledge. In European Wireless 2019 Conference, EW 2019 (pp. 90-95). VDE Verlag GmbH. https://www.vde-verlag.de/proceedings-en/564948016.html

W. Sørensen, C., Hernandez Marcano, N. J., Cabrera Guerrero, J. A., Wunderlich, S., Lucani Rötter, D. E. & H. P. Fitzek, F. (2016). Easy as Pi: A Network Coding Raspberry Pi Testbed. Electronics, 5(4), Article 67. https://doi.org/10.3390/electronics5040067

Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. In ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914

Li, N., Iosifidis, A. & Zhang, Q. (2025). Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder. IEEE Transactions on Wireless Communications, 24(3), 2157-2172. https://doi.org/10.1109/TWC.2024.3518399

Pereira, C., Aguiar, A. & Lucani Rötter, D. E. (2013). Dynamic Load Allocation for Multi-homing via Coded Packets. In IEEE Vehicular Technology Conference 2013 (pp. 1-5) http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6692525

Sipos, M., Fitzek, F. H. P., Lucani Rötter, D. E. & Pedersen, M. V. (2014). Dynamic Allocation and Efficient Distribution of Data Among Multiple Clouds Using Network Coding. In Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on (pp. 90-95). IEEE . https://doi.org/10.1109/CloudNet.2014.6968974

Nguyen, VU., Tasdemir, E., Nguyen, G. T., Lucani Rötter, D. E., Fitzek, F. H. P. & Reisslein, M. (2020). DSEP Fulcrum: Dynamic Sparsity and Expansion Packets for Fulcrum Network Coding. IEEE Access, 8, 78293-78314. https://doi.org/10.1109/ACCESS.2020.2989619

Songpu, A., Kolhe, M. L., Jiao, L. & Zhang, Q. (2015). Domestic load forecasting using neural network and its use for missing data analysis. In 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE) - 2015 (pp. 535-538). IEEE. https://doi.org/10.1109/ATEE.2015.7133866

AI, S., Kolhe, M., Jiao, L., Ullveit-Moe, N. & Zhang, Q. (2015). Domestic Demand Predictions Considering Influence of External Environmental Parameters. In Proceedings of 2015 13th IEEE International Conference on Industrial Informatics (INDIN) (pp. 640-644). IEEE. https://doi.org/10.1109/INDIN.2015.7281810

Yazdani, N., Kouvelas, N., Lucani Rötter, D. E. & Prasad, R. V. (2022). Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames. In IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 235-243). IEEE. https://doi.org/10.1109/SECON55815.2022.9918571

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Sipos, M., Fitzek, F. H. P., Lucani Rötter, D. E. & Pedersen, M. V. (2015). Distributed Cloud Storage Using Network Coding. In Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th (pp. 127-132). IEEE . http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7056318

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. In 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685589

Antonsen, M. M., Liu, S., Xu, X., Steinbach, E., Chinello, F. & Zhang, Q. (2024). Digital Twin-empowered Model-Mediated Teleoperation using Multimodality Data with Signed Distance Fields. In 2024 IEEE Haptics Symposium, HAPTICS 2024 (pp. 353-359). IEEE. https://doi.org/10.1109/HAPTICS59260.2024.10520841

Kuldeep, G. & Zhang, Q. (2022). Design Prototype and Security Analysis of a Lightweight Joint Compression and Encryption Scheme for Resource-constrained IoT Devices. IEEE Internet of Things Journal, 9(1), 165-181. https://doi.org/10.1109/JIOT.2021.3098859

Antonsen, M. M., Chinello, F. & Zhang, Q. (2024). Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet. In 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 (pp. 15707-15713). IEEE. https://doi.org/10.1109/ICRA57147.2024.10610295

Zhang, Q. & Fitzek, F. H. P. (2006). Designing Rules for Self-Organizing Protocols for a Cooperative Communication Architecture. Poster session presented at 1st International Workshop on Self-Organizing Systems, Passau, Germany.

Alam, M. & Zhang, Q. (2017). Designing optimum mother constellation and codebooks for SCMA. In D. Gesbert, M. Debbah & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017: ICC Article 7996539 IEEE. https://doi.org/10.1109/ICC.2017.7996539

Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. (pp. 72-77). ArXiv. https://doi.org/10.48550/arXiv.2211.13778

Zhang, Q., Fitzek, F. H. P. & Iversen, V. B. (2007). Design and Performance Evaluation of Cooperative Retransmission Scheme for Reliable Multicast Services in Cellular Controlled P2P Networks. I E E E International Symposium Personal, Indoor and Mobile Radio Communications, 1 - 5. https://doi.org/10.1109/PIMRC.2007.4394773

Madsen, T. K., Zhang, Q. & Fitzek, F. H. P. (2007). Design and evaluation of IP header compression for cellular-controlled P2P networks. In IEEE International Conference on Communication, 2007. ICC '07 (pp. 4046 - 4051) https://doi.org/10.1109/ICC.2007.666

Techel, J., Zhao, X., Talasila, S. R. K. P., Zhang, Q. & Lucani Rötter, D. E. (2019). Demonstration of Reliable IoT Distributed Storage using Network Codes. In 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 Article 8651722 IEEE. https://doi.org/10.1109/CCNC.2019.8651722

Li, H., Zhang, Q. & Kuldeep, G. (2023). Demo: 3TierView: A Three-tier Privacy-preserving Live Video Surveillance IoT System. In MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (pp. 594–595). Association for Computing Machinery. https://doi.org/10.1145/3581791.3597289

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Mukherjee, M., Kumar, V., Maity, D., Matam, R., Mavromoustakis, C. X., Zhang, Q. & Mastorakis, G. (2020). Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services. Paper presented at 2020 IEEE Global Communications Conference, Taipei, Taiwan. https://doi.org/10.1109/GLOBECOM42002.2020.9348064

Kumar, V., Mukherjee, M., Lloret, J., Zhang, Q. & Kumari, M. (2022). Delay-optimal and Incentive-aware Computation Offloading for Reconfigurable Intelligent Surface-assisted Mobile Edge Computing. IEEE Networking Letters, 4(3), 127-131. https://doi.org/10.1109/LNET.2022.3187720

Carreto Picón, G., Zhou, P. Y., Zhang, Q. & Iosifidis, A. (2025). DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams.

Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538

Mukherjee, M., Guo, M., Lloret, J., Iqbal, R. & Zhang, Q. (2020). Deadline-aware Fair Scheduling for Offloaded Tasks in Fog Computing with Inter-fog Dependency. IEEE Communications Letters, 24(2), 307-311. Article 8924774. https://doi.org/10.1109/LCOMM.2019.2957741

Vingelmann, P., Pedersen, M. V., Heide, J., Zhang, Q. & Fitzek, F. H. P. (2012). Data dissemination in the wild: A testbed for high-mobility MANETs. In 2012 IEEE International Conference on Communications (ICC) (pp. 291-296). IEEE Press. https://doi.org/10.1109/ICC.2012.6364123

Bagheri, H., Katz, M., Fitzek, F. H. P., Lucani Rötter, D. E. & Pedersen, M. V. (2014). D2D-Based Mobile Clouds for Energy- and Spectral-Efficient Content Distribution. In S. Mumtaz & J. Rodriguez (Eds.), Smart Device to Smart Device Communication (pp. 237-280). Springer. https://doi.org/10.1007/978-3-319-04963-2

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 559-564). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371805

Displaying results 251 to 300 out of 368

Revised 13.11.2025

Daniel Enrique Lucani Rötter