Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Larsen, P. G., Soulioti, G., Macedo, H. D., Alifragkis, V., Fitzgerald, J., Livanos, N., Pfeifer, H., Pasquinelli, M., Benedict, M., Thule, C., Tonetta, S., Stritzelberger, B., Marguglio, A., Sutton, L. F., Obstbaum, M., Gusmeroli, S., Beutenmüller, F., Jr., G. S., Wijnands, Q. & Talasila, P. (2020). Enabling Combining Models and Tools in an Online MBSE Collaboration Platform. I Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf

Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021). Apsu - A compact surface NMR instrument for groundwater investigations. SEG Technical Program Expanded Abstracts, 2021-September, 3135-3139. https://doi.org/10.1190/segam2021-3582046.1

Larsen, J. J., Langhof, R. B., Kjær, M. W., Vang, M., Liu, L., Griffiths, M. & Grombacher, D. (2022). Efficient processing of surface NMR data with spectral analysis. Geophysical Journal International, 229(1), 286-298. https://doi.org/10.1093/gji/ggab472

Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022). HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. I M. S. Obaidat, T. Oren & F. D. Rango (red.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (s. 90-110). Springer. https://doi.org/10.1007/978-3-030-84811-8_5

Larsen, E. L., Espelund, U., Lauritsen, S. M., Thiesson, B., Lange, J., Friis Kjeldsen, G. & Jørgensen, M. J. (2022). +Priokritisk. Early identification of clinical detorioriation among hospitalized patients by explainable AI. Poster-session præsenteret på Symposium on Artificial Intelligence for Learning Health Systems.

Larsen, J. J., Lévy, L. & Asif, M. R. (2022). Removal of powerline noise in geophysical data sets with a scientific machine-learning based approach. IEEE Transactions on Geoscience and Remote Sensing, 60, Artikel 5923410. https://doi.org/10.1109/TGRS.2022.3223737

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. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

Larsen, J. J., Kass, M. A., Grombacher, D. & Griffiths, M. P. (2024). Feasibility of Surface Nuclear Magnetic Resonance With Absurdly Long Excitation Pulses. Geophysical Research Letters, 51(20), Artikel e2024GL110826. https://doi.org/10.1029/2024GL110826

Larsen, P. G., Esterle, L., Fitzgerald, J. & Frasheri, M. (2023). Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (s. 222-236). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-40132-9_14

Larsen, J. J., Kass, A., Grombacher, D. & Griffiths, M. P. (2024). Surface NMR with Very Long Transmitter Pulses. Abstract fra AGU Fall meeting 2024, Washington DC, USA.

Larsen, P. G., Talasila, P. & Fitzgerald, J. (2024). Towards the Composition of Digital Twins. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (s. 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. I 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (s. 3125-3131). IEEE. https://doi.org/10.1109/CASE59546.2024.10711608

Lading, T., Lindskow, T., Sharghbin, M., Benhassen, L. L., Bechsgaard, T. K., Røpcke, D. M., Nielsen, S. L. & Johansen, P. (2018). Aortic valve repair techniques affect the annulus differently: an In Vitro characterization. The Journal of Heart Valve Disease, 27(4), 251-58.

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Artikel 9371681. https://doi.org/10.1109/ACCESS.2021.3064382

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Within-layer Diversity Reduces Generalization Gap. Afhandling præsenteret på 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. Afhandling præsenteret på 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. I 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. I 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. I B. Williams, Y. Chen & J. Neville (red.), AAAI-23 Technical Tracks 7 (s. 8421-8429). Artikel 190493 AAAI Press.

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). Learning Distinct Features Helps, Provably. I D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis & F. Bonchi (red.), Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II (s. 206-222). Springer. https://doi.org/10.1007/978-3-031-43415-0_13

Kusumanchi, P., Keller, S. S. & Davidsen, R. S. (2024). Developments in the design and microfabrication of photovoltaic retinal implants. Micro and Nano Engineering, 25, Artikel 100289. https://doi.org/10.1016/j.mne.2024.100289

Kusumanchi, P., Madsen, J. G., Bek, T., Keller, S. S. & Davidsen, R. S. (2025). Electrical stimulation of neuroretinas with 3D pyrolytic carbon electrodes. Biomedical Microdevices, 27(1), Artikel 7. https://doi.org/10.1007/s10544-024-00729-8

Kusumanchi, P., Madsen, J. G., Bek, T. & Davidsen, R. S. (2023). Electrical Stimulation of retinal tissue with pyrolytic carbon microelectrodes. Poster-session præsenteret på The EYE and the Chip, 13th World Research Congress on Artificial Vision, Southfield, Michigan, USA.

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, Artikel 132189. https://doi.org/10.1016/j.energy.2024.132189

Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024). A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs. International Journal of Engineering Education, 40(4), 801-814.

Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Augustin, L., Volet, N. & Heck, M. (2022). A 10-kHz intrinsic linewidth coupled extended-cavity DBR laser monolithically integrated on an InP platform. Optics Letters, 47(9), 2346-2349 . https://doi.org/10.1364/OL.454478

Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Arent, N. H., Volet, N. & Heck, M. (2022). Sub-10 kHz Intrinsic Linewidth Extended Cavity DBR laser on InP Generic Foundry Platform.

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

Kumar, R. R., Nielsen, L., Volet, N. & Heck, M. (2023). Intra-cavity coherent combining of DBR lasers on an InP generic foundry platform. Optics Letters, 48(7), 1614-1617. https://doi.org/10.1364/OL.483889

Kumar, R. R., Hänsel, A., Castera, P., Volet, N. & Heck, M. J. R. (2024). Low-kappa DBR grating filters on an InP generic photonic integration foundry platform. Journal of the Optical Society of America B: Optical Physics, 41(4), 1054-1059. https://doi.org/10.1364/JOSAB.518800

Kulik, T., Macedo, H. D., Talasila, P. & Larsen, P. G. (2021). Modelling the HUBCAP Sandbox Architecture In VDM: A Study In Security. I J. Fitzgerald, T. Oda & H. D. Macedo (red.), Proceedings of the 18th International Overture Workshop (s. 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. I 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 (s. 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. I H. D. Macedo, C. Thule & K. Pierce (red.), Proceedings of the 19th International Overture Workshop (s. 36-50) https://arxiv.org/abs/2110.09371

Kulik, T., Dongol, B., Larsen, P. G., Macedo, H. D., Schnieder, S., Tran-Jørgensen, P. W. V. & Woodcock, J. (2022). A Survey of Practical Formal Methods for Security. Formal Aspects of Computing, 34(1), Artikel 3522582. https://doi.org/10.1145/3522582

Kulik, T., Gomes, C., Macedo, H. D., Hallerstede, S. & Larsen, P. G. (2022). Towards Secure Digital Twins. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (s. 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. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 313-344). 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. I 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Artikel 9322181 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322181

Kuldeep, G. & Zhang, Q. (2020). Compressive Sensing based Multi-class Privacy-preserving Cloud Computing. I 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Artikel 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. Artikel 9373354. https://doi.org/10.1109/ACCESS.2021.3064700

Kuldeep, G. (2022). Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. IEEE Internet of Things Journal, 9(9), 7043-7050. https://doi.org/10.1109/JIOT.2021.3113951

Kuldeep, G. & Zhang, Q. (2022). Multi-class privacy-preserving cloud computing based on compressive sensing for IoT. Journal of Information Security and Applications, 66, Artikel 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, Artikel 105012. https://doi.org/10.1016/j.bspc.2023.105012

Kuldeep, G. (2022). Secure Data Compression for Internet of Things. Århus Universitet.

Krysiak, Z. J., Abdolmaleki, H., Agarwala, S. & Stachewicz, U. (2022). Inkjet Printing of Electrodes on Electrospun Micro- and Nanofiber Hydrophobic Membranes for Flexible and Smart Textile Applications. Polymers, 14(22), Artikel 5043. https://doi.org/10.3390/polym14225043

Krukar, J. & Schultz, C. (2025). Ecological validity of architectural cognition: a framework. Architectural Science Review. Advance online publication. https://doi.org/10.1080/00038628.2024.2410741

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

Kristoffersen, A. E., Schultz, C. P. L. & Kamari, A. (2024). A critical comparison of concepts and approaches to social sustainability in the construction industry. Journal of Building Engineering , 91, Artikel 109530. https://doi.org/10.1016/j.jobe.2024.109530

Kristensen, E. F., Grøn Sørensen, C., Balafoutis, T., Vaiopoulos, K. & Vandorou, F. (2021). Available financing tools in EU agriculture. https://www.agrofossilfree.eu/wp-content/uploads/2021/10/D2.14.pdf

Kristensen, E. F. & Kristensen, J. K. (2022). Energy efficient straw boiler with low nox emission. I 30th European Biomass Conference and Exhibition (s. 657-661)

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