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Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

Publication list

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Larsen, P. G., Talasila, P. & Fitzgerald, J. (2024). Towards the Composition of Digital Twins. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 103-122). Springer. https://doi.org/10.1007/978-3-031-67114-2_5
Lakshminarayanan, S., Duecker, D., Sarabakha, A., Ganguly, A., Takayama, L. & Haddadin, S. (2024). Estimation of External Force acting on Underwater Robots. In 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (pp. 3125-3131). IEEE. https://doi.org/10.1109/CASE59546.2024.10711608
Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Article 9371681. https://doi.org/10.1109/ACCESS.2021.3064382
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Within-layer Diversity Reduces Generalization Gap. Paper presented at International Conference on Machine Learning Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, 2021. https://arxiv.org/pdf/2106.06012.pdf
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). On Feature Diversity in Energy-based models. Paper presented at International Conference on Learning Representations Workshop on Energy-Based Models, , Vienna. https://openreview.net/pdf?id=ks3Q08yy66r
Laakom, F., Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Learning to ignore: rethinking attention in CNNs. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05684.pdf
Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). Robust channel-wise illumination estimation. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05681.pdf
Laakom, F., Raitoharju, J., Passalis, N., Iosifidis, A. & Gabbouj, M. (2022). Graph Embedding with Data Uncertainty. IEEE Access, 10, 24232-24239. https://doi.org/10.1109/ACCESS.2022.3155233
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 7 (pp. 8421-8429). Article 190493 AAAI Press. https://doi.org/10.1609/aaai.v37i7.26015
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). Learning Distinct Features Helps, Provably. In D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis & F. Bonchi (Eds.), Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II (pp. 206-222). Springer. https://doi.org/10.1007/978-3-031-43415-0_13
Laakom, F., Sohrab, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2025). Convolutional autoencoder-based multimodal one-class classification. In 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media Companion, CISM Companion 2025 IEEE. https://doi.org/10.1109/CISMCompanion65074.2025.11032368
Kusumanchi, P., Madsen, J. G., Bek, T. & Davidsen, R. S. (2023). Electrical Stimulation of retinal tissue with pyrolytic carbon microelectrodes. Poster session presented at The EYE and the Chip, 13th World Research Congress on Artificial Vision, Southfield, Michigan, United States.
Kuntuarova, S., Licklederer, T., Huynh, T., Zinsmeister, D., Hamacher, T. & Perić, V. (2024). Design and simulation of district heating networks: A review of modeling approaches and tools. Energy, 305, Article 132189. https://doi.org/10.1016/j.energy.2024.132189
Kulik, T., Macedo, H. D., Talasila, P. & Larsen, P. G. (2021). Modelling the HUBCAP Sandbox Architecture In VDM: A Study In Security. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 20-35) https://arxiv.org/pdf/2101.07261.pdf
Kulik, T., Boudjadar, J. & Aranha, D. F. (2021). Formally Verified Credentials Management for Industrial Control Systems. In Proceedings - 2021 IEEE/ACM 9th International Conference on Formal Methods in Software Engineering, FormaliSE 2021: 9th IEEE/ACM International Conference on Formal Methods in Software Engineering (pp. 75-85). IEEE. https://doi.org/10.1109/FormaliSE52586.2021.00014
Kulik, T., Talasila, P., Greco, P., Veneziano, G., Marguglio, A., Sutton, L. F., Larsen, P. G. & Macedo, H. D. (2021). Extending the Formal Security Analysis of the HUBCAP sandbox. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 36-50) https://arxiv.org/abs/2110.09371
Kulik, T., Gomes, C., Macedo, H. D., Hallerstede, S. & Larsen, P. G. (2022). Towards Secure Digital Twins. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (pp. 159-176). Springer. https://doi.org/10.1007/978-3-031-19762-8_11
Kulik, T., Kazemi, Z. & Larsen, P. G. (2024). Security and Privacy-related Issues in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 313-334). Springer. https://doi.org/10.1007/978-3-031-66719-0_13
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. (2022). Secure Data Compression for Internet of Things. [PhD dissertation, Aarhus University]. Aarhus Universitet.
Kruckel, C. J., Becker, H., Ban, Y., Heck, M. J. R., Van Campenhout, J. & Van Thourhout, D. (2021). Towards Maximum Energy Efficiency of Carrier-Injection-Based Silicon Photonics. Journal of Lightwave Technology, 39(9), 2931-2940. https://doi.org/10.1109/JLT.2021.3059915
Kristensen, E. F. & Kristensen, J. K. (2022). Energy efficient straw boiler with low nox emission. In 30th European Biomass Conference and Exhibition (pp. 657-661)
Kristensen, E. F. & Kristensen, J. K. (2022). Efficient Straw Boiler with Low NOx Emission. Poster session presented at EUBCE 2022- The 30th edition of the European Biomass Conference and Exhibition.
Kristensen, M. H., Bonizzi, A., Gomes, C., Hansen, S. T., Isasa Martin, C. I., Iven, H., Kamburjan, E., Larsen, P. G., Leucker, M., Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B. & Wright, T. D. (2024). Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. In 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 121-127). IEEE. https://doi.org/10.1109/ACSOS-C63493.2024.00042