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Department of Electrical and Computer Engineering

Publications

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Fehér, M., Yazdani, N., Aranha, D. F., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2020). Side Channel Security of Smart Meter Data Compression Techniques. In 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020: Proceedings Article 9302931 IEEE. https://doi.org/10.1109/SmartGridComm47815.2020.9302931

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

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2022). Stream Compression of DLMS Smart Meter Readings. In ICC 2022 - IEEE International Conference on Communications (pp. 5517-5522). IEEE. https://doi.org/10.1109/ICC45855.2022.9838758

Fehér, M., Lucani Rötter, D. E. & Chatzigeorgiou, I. (Accepted/In press). An Adaptive Column Compression Family for Self-Driving Databases. Paper presented at Thirteenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, Sydney, New South Wales, Australia.

Feher, M., Lucani Rötter, D. E., Fonseca, K., Rosa, M. & Despotov, B. (2018). Secure and Scalable Key Value Storage for Managing Big Data in Smart Cities using Intel SGX. In Proceedings - 3rd IEEE International Conference on Smart Cloud, SmartCloud 2018: SmartCloud 2018 (pp. 70-76). Article 8513718 IEEE. https://doi.org/10.1109/SmartCloud.2018.00020

Estrela da Silva, J., Lucani Rötter, D. E., Baliyarasimhuni, S. & Borges de Sousa, J. (2012). Trajectory optimization for data retrieval applications: it is all about where/who loads the mule. In IFAC Proceedings Volumes (5 ed., Vol. 45, pp. 210-216). ELSEVIER. https://doi.org/10.3182/20120410-3-PT-4028.00035

Ertli, G., Paramanathan, A., Rein, S. A., Lucani Rötter, D. E. & Fitzek, F. H. P. (2013). Network Coding in the Bidirectional Cross: A Case Study for the System Throughput and Energy. In Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th IEEE. https://doi.org/10.1109/VTCSpring.2013.6692649

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

Dhaou, R., Beylot, A-L., Montpetit, M-J., Lucani Rötter, D. E. & Mucchi, L. (Eds.) (2013). Personal Satellite Services: 5th International ICST Conference, PSATS 2013, Toulouse, France, June 27-28, 2013, Revised Selected Papers. Springer. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Vol. 123 https://doi.org/10.1007/978-3-319-02762-3

Costa, R. A., Lucani Rötter, D. E., T. V. Vinhoza, T. & Barros, J. (2015). Reliability Capacity of Half-Duplex Channels with Strict Deadlines. In European Wireless 2015; 21th European Wireless Conference; Proceedings of (pp. 215-220). VDE. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7147695

Compta, P. T., Fitzek, F. H. P. & Lucani Rötter, D. E. (2014). On the Effects of Heterogeneous Packet Lengths on Network Coding. In European Wireless 2014; 20th European Wireless Conference; Proceedings of (pp. 385-390). VDE. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6843184

Chidean, M. I., Barquero-Pérez, Ó., Zhang, Q., Jacobsen, R. H. & Caamano, A. J. (2016). High diagnostic quality ECG compression and CS Signal reconstruction in body sensor networks. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings: (ICASSP 2016) (Vol. 2016, pp. 6255-6259). Article 7472880 IEEE. https://doi.org/10.1109/ICASSP.2016.7472880

Chidean, M. I., Carmona-Murillo, J., Jacobsen, R. H. & Zhang, Q. (2019). Network Traffic Characterization Using L-moment Ratio Diagrams. In 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019 (pp. 555-560). Article 8939231 IEEE. https://doi.org/10.1109/IOTSMS48152.2019.8939231

Cavagna, A., Li, N., Iosifidis, A. & Zhang, Q. (2022). Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. In arXIV https://doi.org/10.48550/arXiv.2211.13787 Focus to learn more

Cabrera, J. A., Nguyen, G., Lucani Rötter, D. E., Pedersen, M. V. & Fitzek, F. H. P. (2017). Taking the Trash Back In: Practical Joint Channel and Network Coding for Improving IEEE 802.11 Networks. In European Wireless 2017 - 23rd European Wireless Conference: Proceedings of the 23th European Wireless Conference (pp. 309-313). Article 8011333 VDE Verlag GmbH. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8011333

Cabrera, J. A., Lucani Rötter, D. E. & Fitzek, F. H. P. (2016). On Network Coded Distributed Storage: How to Repair in a Fog of Unreliable Peers. In ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings (pp. 188-193). Article 7600898 IEEE. https://doi.org/10.1109/ISWCS.2016.7600898

Broch Ashton , N. & Zhang, Q. (2014). Cool-SHARE: Offload Smartphone Data By Sharing. I E E E V T S Vehicular Technology Conference. Proceedings, 79th (VTC Spring). https://doi.org/10.1109/VTCSpring.2014.7022863

Brito, A., Fetzer, C., Köpsell, S., Pietzuch, P., Pasin, M., Felber, P., Fonseca, K., Rosa, M., Riella, R., Prado, C., da Costa Carmo, L. F. R., Lucani Rötter, D. E., Sipos, M. A., Nagy, L. & Feher, M. (2018). Cloud Challenge: Secure End-to-End Processing of Smart Metering Data. In Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing Companion, UCC Companion 2018 (pp. 36-42). Article 8605754 IEEE. https://doi.org/10.1109/UCC-Companion.2018.00031

Brito, A., Fetzer, C., Köpsell, S., Pietzuch, P., Pasin, M., Felber, P., Fonseca, K., Rosa, M., Gomes-Jr, L., Riella, R., Prado, C., Rust, L. F., Lucani Rötter, D. E., Sipos, M., Nagy, L. & Fehér, M. (2019). Secure end-to-end processing of smart metering data. Journal of Cloud Computing, 8, Article 19. https://doi.org/10.1186/s13677-019-0141-z

Boadas, L., Cataldo, G., Harima, K. & Lucani Rötter, D. E. (2006). The use of ICT as supporting tool in Basic Electronics Laboratory for engineers: experience of its practical application. In Proceedings of the REV2006: Conference International Remote Engineering and Virtual Instrumentation Symposium, 2006 https://doi.org/10.13140/RG.2.1.5152.4640

Barros, B., aguiar, A. & Lucani Rötter, D. E. (2012). Network-aware Biomedical Signal Processing - Loss Concealment or Loss Awareness. In : International Conference on Health Informatics (pp. 318-325)

Baliyarasimhuni, S., Lucani Rötter, D. E. & Sousa, J. (2013). Joint Route Planning for UAV and Sensor Network Data Retrieval. In 2013 7th Annual IEEE Systems Conference (pp. 688-692). IEEE.

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Multi-Exit Vision Transformer for Dynamic Inference. In The 32nd British Machine Vision Conference https://www.semanticscholar.org/paper/Multi-Exit-Vision-Transformer-for-Dynamic-Inference-Bakhtiarnia-Zhang/26f61039857423c0aad2c44f0e7769cbb61246c9

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2022). Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks, 153, 461-473. https://doi.org/10.1016/j.neunet.2022.06.038

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

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

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. In 2023 International Joint Conference on Neural Networks (IJCNN)

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

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

Alam, M. & Zhang, Q. (2017). Performance Study of SCMA Codebook Design. I E E E Wireless Communications and Networking Conference. Proceedings. https://doi.org/10.1109/WCNC.2017.7925767

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

Alam, M. & Zhang, Q. (2018). Non-Orthogonal Multiple Access With Sequence Block Compressed Sensing Multiuser Detection for 5G. IEEE Access, 6, 63058 - 63070. Article 8509105. https://doi.org/10.1109/ACCESS.2018.2877477

Alam, M. & Zhang, Q. (2018). Sequence Block based Compressed Sensing Multiuser Detection for 5G. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings Article 8647750 IEEE. https://doi.org/10.1109/GLOCOM.2018.8647750

Alam, M. & Zhang, Q. (2019). Novel Codebook-based MC-CDMA with Compressive Sensing Multiuser Detection for Sporadic mMTC. In 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings: Non-Orthogonal Multiple Access Techniques for 5G Workshop Article 8644174 IEEE. https://doi.org/10.1109/GLOCOMW.2018.8644174

Alam, M. & Zhang, Q. (2019). QoS-aware NOMA with Sequence Block Compressed Sensing Multiuser Detection. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Article 8885427 IEEE.

Alam, M. & Zhang, Q. (2021). A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC. Wireless Communications and Mobile Computing, 2021, Article 8840519. https://doi.org/10.1155/2021/8840519

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

Displaying results 301 to 338 out of 338

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Revised 10.08.2023

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Daniel Enrique Lucani Rötter