Department of Electrical and Computer Engineering

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 Department of Electrical and Computer Engineering Research Key areas in research & development Communication, Control & Automation Research Groups Network Computing, Communications and Storage Publications

Publications

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Lucani Rötter, D. E. & Montpetit, M.-J. (2012). Network Coding for Next Generation Personal Satellite Converged Services. In P. Pillai, R. Shorey & E. Ferro (Eds.), : Personal Satellite Services (pp. 17-25). Springer Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36787-8_3
Lucani Rötter, D. E. & Kliewer, J. (2011). On the Delay and Energy Performance in Coded Two-hop Line Networks with Bursty Erasures. In Wireless Communication Systems (ISWCS), 2011 8th International Symposium on (pp. 502-506). IEEE. https://doi.org/10.1109/ISWCS.2011.6125410
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
Lucani Rötter, D. E. & Medard, M. (2011). Bridging Tree Packing and Network Coding: An Information Flow Approach. In Information Sciences and Systems (CISS), 2011 45th Annual Conference on IEEE. https://doi.org/10.1109/CISS.2011.5766116
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2010). Online Network Coding for Time Division Duplexing. In Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE (pp. 1-6). IEEE. https://doi.org/10.1109/GLOCOM.2010.5683892
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2010). Systematic Network Coding for Time Division Duplexing. In Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on (pp. 2403-2407). IEEE. https://doi.org/10.1109/ISIT.2010.5513768
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). Random Linear Network Coding for Time-Division Duplexing: Field Size Considerations. In IEEE GLOBAL COMMUNICATIONS CONFERENCE (IEEE GLOBECOM 2009) IEEE. http://www.rle.mit.edu/ncrc/wp-content/uploads/2014/01/2009_random_linear.pdf
Lucani Rötter, D. E., Medard, M., Stojanovic, M. & R. Karger, D. (2009). Sharing Information in Time-Division Duplexing Channels: A Network Coding Approach. In Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on (pp. 1403-1410). IEEE. https://doi.org/10.1109/ALLERTON.2009.5394510
Lucani Rötter, D. E., Fitzek, F. H. P., Medard, M. & Stojanovic, M. (2009). Network Coding For Data Dissemination: It Is Not What You Know, But What Your Neighbors Don’t Know. In Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009. 7th International Symposium on (pp. 407-414). IEEE. https://doi.org/10.1109/WIOPT.2009.5291585
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). Random Linear Network Coding for Time Division Duplexing: Queueing Analysis. In Information Theory, 2009. ISIT 2009. IEEE International Symposium on (pp. 1423-1427). IEEE. https://doi.org/10.1109/ISIT.2009.5205888
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). Broadcasting in Time-Division Duplexing: A Random Linear Network Coding Approach. In Network Coding, Theory, and Applications, 2009. NetCod '09. Workshop on (pp. 62-67). IEEE. https://doi.org/10.1109/NETCOD.2009.5191395
Lucani Rötter, D. E., Stojanovic, M. & Medard, M. (2009). Random Linear Network Coding for Time Division Duplexing: Energy Analysis. In Communications, 2009. ICC '09. IEEE International Conference on IEEE. https://doi.org/10.1109/ICC.2009.5199387
Lucani Rötter, D. E., Stojanovic, M. & Medard, M. (2009). Random Linear Network Coding for Time Division Duplexing: When To Stop Talking And Start Listening. In INFOCOM 2009, IEEE (pp. 1800-1808). IEEE. https://doi.org/10.1109/INFCOM.2009.5062100
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). On Coding for Delay - New Approaches Based on Network Coding in Networks with Large Latency. In Information Theory and Applications Workshop, 2009 (pp. 191-200). IEEE. https://doi.org/10.1109/ITA.2009.5044945
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2008). A Lower Bound to Transmission Power for Multicast in Underwater Networks using Network Coding. In International Symposium on Information Theory and its Applications, ISITA2008 http://www.rle.mit.edu/ncrc/wp-content/uploads/2014/01/2008_lower_bound.pdf
Lucani Rötter, D. E., Stojanovic, M. & Medard, M. (2008). On the Relationship between Transmission Power and Capacity of an Underwater Acoustic Communication Channel. In OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean IEEE. https://doi.org/10.1109/OCEANSKOBE.2008.4531073
Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2007). Network coding schemes for underwater networks: the benefits of implicit acknowledgement. In WUWNET 2007 (pp. 25-32) https://doi.org/10.1145/1287812.1287819
Lucani Rötter, D. E., E. Badra, R. & M. Bianchi, C. (2007). Increasing VoIP capacity on WiFi networks through the use of the FAIR algorithm for MAC. In Vehicular Technology Conference, 2007. VTC-2007 Fall. 2007 IEEE 66th (pp. 1684-1688). IEEE. https://doi.org/10.1109/VETECF.2007.356
Lucani Rötter, D. E., Cataldo, G., Cruz, J., Villegas, G. & Wong, S. (2006). A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications. In Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE (pp. 5244-5247). IEEE. https://doi.org/10.1109/IEMBS.2006.260798
Lucani Rötter, D. E., Cataldo, G., Cruz, J., Medina, E. & Villegas, G. (2004). Tele-Electrocardiógrafo Inalámbrico. In Proc. II Venezuelan Bioengineering Conference
Lucani Rötter, D. E., Vieira, F. & Montpetit, M.-J. (2011). Opportunities for Network Coding in Satellite Networks. SATELLITE AND SPACE COMMUNICATIONS, 21(2), 7-11. http://ssc.committees.comsoc.org/files/2015/11/sscnlv21n2.pdf
Lucani Rötter, D. E., Pedersen, M. V., Ruano, D., W. Sørensen, C., Fitzek, F. H. P., Heide, J., Geil, O., Nguyen, VU. & Reisslein, M. (2018). Fulcrum: Flexible Network Coding for Heterogeneous Devices. IEEE Access, 6, 77890-77910. Article 8554264. https://doi.org/10.1109/ACCESS.2018.2884408
Lucani Rötter, D. E., Nielsen, L., Orlandi, C., Pagnin, E. & Vestergaard, R. (2020). Secure generalized deduplication via multi-key revealing encryption. In C. Galdi & V. Kolesnikov (Eds.), Security and Cryptography for Networks (pp. 298-318). Springer. https://doi.org/10.1007/978-3-030-57990-6_15
Lucani Rötter, D. E. (2010). Network Coding for Delay Challenged Environments.
Liu, J. & Zhang, Q. (2018). Offloading Schemes in Mobile Edge Computing for Ultra-Reliable Low Latency Communications. IEEE Access, 6, 12825-12837. https://doi.org/10.1109/ACCESS.2018.2800032
Liu, J. & Zhang, Q. (2019). Code-Partitioning Offloading Schemes in Mobile Edge Computing for Augmented Reality. In IEEE Access (Vol. 7, pp. 11222-11236). IEEE. https://doi.org/10.1109/ACCESS.2019.2891113
Liu, J. & Zhang, Q. (2019). Reliability and Latency Aware Code-Partitioning Offloading in Mobile Edge Computing. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Article 8885778 IEEE. https://doi.org/10.1109/WCNC.2019.8885778
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
Liu, J. & Zhang, Q. (2020). To Improve Service Reliability for AI-Powered Time-Critical Services Using Imperfect Transmission in MEC: An Experimental Study. IEEE Internet of Things Journal, 7(10), 9357-9371. Article 9051992. https://doi.org/10.1109/JIOT.2020.2984333
Liu, J. & Zhang, Q. (2020). Using Imperfect Transmission in MEC Offloading to Improve Service Reliability of Time-Critical Computer Vision Applications. IEEE Access, 8, 107364 - 107372. Article 9114971. https://doi.org/10.1109/ACCESS.2020.3001620
Liu, J. & Zhang, Q. (2020). Computation Resource Allocation for Heterogeneous Time-Critical IoT Services in MEC. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120832 IEEE. https://doi.org/10.1109/WCNC45663.2020.9120832
Liu, J. & Zhang, Q. (2020). Adaptive Task Partitioning at Local Device or Remote Edge Server for Offloading in MEC. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120484 IEEE. https://doi.org/10.1109/WCNC45663.2020.9120484
Li, L., Zhao, G., Shi, W., Chen, Z. & Zhang, Q. (2016). Autonomous relaying scheme for energy-efficient cooperative multicast communications. In 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016: WCNC 2016 Article 7565083 IEEE. https://doi.org/10.1109/WCNC.2016.7565083
Li, N., Iosifidis, A. & Zhang, Q. (2022). Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Computer Networks, 214, Article 109150. https://doi.org/10.1016/j.comnet.2022.109150
Li, N., Iosifidis, A. & Zhang, Q. (2022). Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 4281-4286). IEEE. https://doi.org/10.1109/ICC45855.2022.9838547
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
Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067
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
Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. In M. Zorzi, M. Tao & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications (pp. 967-972). IEEE. https://doi.org/10.1109/ICC45041.2023.10279110
Li, N., Bennis, M., Iosifidis, A. & Zhang, Q. (2023). Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. In IEEE Globecom 2023 (pp. 1603-1608). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465187
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
Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15
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
Kuldeep, G. & Zhang, Q. (2020). Revisiting Compressive Sensing based Encryption Schemes for IoT. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120785 IEEE. https://doi.org/10.1109/WCNC45663.2020.9120785
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
Kuldeep, G. & Zhang, Q. (2020). Compressive Sensing based Multi-class Privacy-preserving Cloud Computing. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings (Vol. 2020-January). Article 9348093 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9348093
Kuldeep, G. & Zhang, Q. (2021). A Novel Efficient Secure and Error-Robust Scheme for Internet of Things Using Compressive Sensing. IEEE Access, 9, 40903-40914. Article 9373354. https://doi.org/10.1109/ACCESS.2021.3064700
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
Kuldeep, G. & Zhang, Q. (2022). Multi-class privacy-preserving cloud computing based on compressive sensing for IoT. Journal of Information Security and Applications, 66, Article 103139. https://doi.org/10.1016/j.jisa.2022.103139
Kuldeep, G. & Zhang, Q. (2023). Lightweight electrocardiogram signal compression. Biomedical Signal Processing and Control, 85, Article 105012. https://doi.org/10.1016/j.bspc.2023.105012

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Revised 13.11.2025
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Daniel Enrique Lucani Rötter