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 for example journal articles, books, reports etc.

The department also publishes technical reports which you can read more about under Technical reports.

Under PhD dissertations you will find the department's published PhD dissertations.

Publication list

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Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. Århus Universitet.

Villa-Henriksen, A., Edwards, G. T. C., Green, O. & Sørensen, C. A. G. (2021). Evaluation of grain quality-based simulated selective harvest performed by an autonomous agricultural robot. Agronomy, 11(9), Article 1728. https://doi.org/10.3390/agronomy11091728

Villadsen, K., Dalgaard Jensen, M., Larsen, P. G. & Macedo, H. D. (2022). Bridging the Requirements-Specification Gap using Behaviour-Driven Development. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 19-33) https://doi.org/10.48550/arXiv.2208.10233

Vestergaard, R., Hanna, O., Song, L., Lucani Rötter, D. E. & Fragouli, C. (2021). On Coded Broadcasting for Wireless Recommendation Systems. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500829

Vestergaard, R., Zhang, Q., Sipos, M. & Lucani Rötter, D. E. (2021). Titchy: Online Time-series Compression with Random Access for the Internet of Things. IEEE Internet of Things Journal, 8(24), 17568-17583. https://doi.org/10.1109/JIOT.2021.3081868

Vestergaard, R. (2021). Towards Scalable Randomly Accessible Data Compression. Århus Universitet.

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

Vestergaard, R., Pagnin, E., Kundu, R. & Lucani, D. E. (2022). Secure Cloud Storage with Joint Deduplication and Erasure Protection. In C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa & J. Zhang (Eds.), 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (pp. 554-563). IEEE. https://doi.org/10.1109/CLOUD55607.2022.00078

Vang, M., Grombacher, D., Griffiths, M. P., Liu, L. & Larsen, J. J. (2023). Technical note: High-density mapping of regional groundwater tables with steady-state surface nuclear magnetic resonance - three Danish case studies. Hydrology and Earth System Sciences, 27(16), 3115-3124. https://doi.org/10.5194/hess-27-3115-2023

Vahdanjoo, M. & Grøn Sørensen, C. (2021). Novel Route Planning Method to Improve the Operational Efficiency of Capacitated Operations. Case: Application of Organic Fertilizer. AgriEngineering, 3(3), 458-477. https://doi.org/10.3390/agriengineering3030031

Vahdanjoo, M., Nørremark, M. & Grøn Sørensen, C. (2021). A System for Optimizing the Process of Straw Bale Retrieval. Sustainability, 13(14), Article 7722. https://doi.org/10.3390/su13147722

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2023). Operational, Economic, and Environmental Assessment of an Agricultural Robot in Seeding and Weeding Operations. AgriEngineering, 5(1), 299–324. Article 5. https://doi.org/10.3390/agriengineering5010020

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Estimating Fuel Consumption of an Agricultural Robot by Applying Machine Learning Techniques during Seeding Operation. AgriEngineering, 6(1), 754-772. https://doi.org/10.3390/agriengineering6010043

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Three-dimensional area coverage planning model for robotic application. Computers and Electronics in Agriculture, 219, 1-15. Article 108789. https://doi.org/10.1016/j.compag.2024.108789

Ulsig, E. Z. & Volet, N. (2021). Second-order nonlinear effects in InGaAsP waveguides for efficient wavelength conversion to the mid-infrared. In P. G. Schunemann & K. L. Schepler (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Article 116700U SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581819

Ulsig, E. Z. & Volet, N. (2021). Design study of efficient far-UVC second-harmonic generation using an integrated approach. In M. Bertolotti, A. V. Zayats & A. M. Zheltikov (Eds.), Nonlinear Optics and Applications XII (Vol. 11770). Article 117700P SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2592408

Ulsig, E. Z., Degli Eredi, I. & Volet, N. (2022). Efficient frequency conversion of low-intensity light in AlGaAs-on-insulator waveguides. In P. G. Schunemann & V. Petrov (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XXI Article 119850D SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2607179

Ulsig, E. Z. & Tønning, P. (2022, Mar 16). Forskere: En sikker type UV-lys er et nyt våben mod corona og fremtidige epidemier. https://videnskab.dk/forskerzonen/teknologi-innovation/en-sikker-type-uv-lys-er-det-nye-vaaben-mod-corona-og-fremtidige-epidemier

Ulsig, E. Z., Stanton, E. J., Reddy, D. V., Shalm, K., Volet, N. & Mirin, R. (2023). Correlated Photon Pairs Obtained by SPDC in AlGaAs-OI Waveguides. In Quantum 2.0: Proceedings Optica Quantum 2.0 Conference and Exhibition (pp. QTh4C-2) https://doi.org/10.1364/QUANTUM.2023.QTh4C.2

Ulsig, E. Z., Degli-Eredi, I., Stanton, E. J. & Volet, N. (2022). Efficient Low Threshold Frequency Conversion in AlGaAs-On-Insulator Waveguides. Frontiers in Photonics, 3, Article 904651. https://doi.org/10.3389/fphot.2022.904651

Ulsig, E. Z. & Tønning, P. (2022). Forskere: En sikker type uv-lys er det nye våben mod corona og fremtidige epidemier. Videnskab.dk [online]. https://videnskab.dk/forskerzonen/teknologi-innovation/en-sikker-type-uv-lys-er-det-nye-vaaben-mod-corona-og-fremtidige-epidemier

Ulsig, E., Madsen, M., J. Stanton, E., Reddy, D., Leger, A., Sørensen, S., Degli-Eredi, I., Stevens, M., Hamel, D., Shalm, L., Mirin, R. & Volet, N. (2024). Widely tunable integrated GaAs and AlGaAs platforms for efficient second-order frequency conversion. https://doi.org/10.1364/opticaopen.25540030.v1

Ulsig, E. Z., Madsen, M. L., Stanton, E. J., Reddy, D. V., Leger, A. Z., Sørensen, S. R., Godoy, P. H., Degli-Eredi, I., Stevens, M. J., Hamel, D. R., Shalm, L. K., Mirin, R. P. & Volet, N. (2024). Efficient and widely tunable mid-infrared sources using GaAs and AlGaAs integrated platforms for second-order frequency conversion. Optics Express, 32(21), 36986-37000. https://doi.org/10.1364/OE.523615

Ulsig, E. Z., Linnet Madsen, M., Stanton, E. J., Venkatarama Reddy, D., Degli-Eredi, I., Mirin, R. & Volet, N. (2023). Single-photon downconversion in GaAs, AlGaAs and InGaP-on-insulator. In 2023 IEEE Photonics Conference (IPC) https://doi.org/10.1109/IPC57732.2023.10360732

Ugurlu, H. I., Pham, X. H. & Kayacan, E. (2022). Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots. Robotics, 11(5), Article 109. https://doi.org/10.3390/robotics11050109

Tran, D. T., Gabbouj, M. & Iosifidis, A. (2020). Performance Indicator in Multilinear Compressive Learning. In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 1822-1828). Article 9308418 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308418

Tran, D. T., Yamac, M., Degerli, A., Gabbouj, M. & Iosifidis, A. (2021). Multilinear compressive learning. IEEE Transactions on Neural Networks and Learning Systems, 32(4), 1512-1524. Article 9070152. https://doi.org/10.1109/TNNLS.2020.2984831

Tran, D. T., Gabbouj, M. & Iosifidis, A. (2022). Remote Multilinear Compressive Learning with Adaptive Compression. IEEE Internet of Things Journal, 9(9), 6905-6913. https://doi.org/10.1109/jiot.2021.3114743

Tran, D. T., Kanniainen, J. & Iosifidis, A. (2021). How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. Paper presented at NeurIPS 2021 Workshop on Machine Learning meets Econometrics. https://doi.org/10.2139/ssrn.3920827

Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M. & Iosifidis, A. (2022). Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access, 10, 45542-45552. https://doi.org/10.1109/ACCESS.2022.3169776

Tran, D. T., Gabbouj, M. & Iosifidis, A. (2022). Progressive and compressive learning. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 187-220). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00014-2

Tøttrup, D., Skovgaard, S. L., Sejersen, J. L. F. & de Figueiredo, R. P. (2022). A Real-Time Method for Time-to-Collision Estimation from Aerial Images. Journal of Imaging, 8(3), Article 62. https://doi.org/10.3390/jimaging8030062

Tøttrup, M. F., Hu, E. C., Kramer, B. A., Macedo, H. D. & Esterle, L. (2023). Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car. In P. Masci, C. Bernardeschi, P. Graziani, M. Koddenbrock & M. Palmieri (Eds.), Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops: International Conference on Software Engineering and Formal Methods (pp. 200-209). Springer. https://doi.org/10.1007/978-3-031-26236-4_18

Tola, D., Gonçalves Gomes, C. Â., Schultz, C. P. L., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. In A. Soylu, A. T. Nezhad, N. Nikolov, I. Toma, A. Fensel & J. Vennekens (Eds.), Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021 CEUR-WS.org. http://ceur-ws.org/Vol-2956/paper12.pdf

Tola, D. & Larsen, P. G. (2021). A Co-Simulation Based Approach for Developing Safety-Critical Systems. In Proceedings of the 18th International Overture Workshop https://arxiv.org/pdf/2101.07261.pdf#page=65

Tola, D., Madsen, E., Gomes, C., Esterle, L., Schlette, C., Hansen, C. & Larsen, P. G. (2022). Towards Easy Robot System Integration: Challenges and Future Directions. In 2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 77-82). IEEE. https://doi.org/10.1109/SII52469.2022.9708846

Tola, D., Böttjer, T., Larsen, P. G. & Esterle, L. (2022). Towards Modular Digital Twins of Robot Systems. In Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (pp. 95-100). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00040

Tola, D. & Corke, P. (2023). Understanding URDF: A Dataset and Analysis.

Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience.

Tola, D. (2024). Enabling Digitalization in Modular Robotic Systems Integration. Aarhus University.

Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience. In Y. Jingang (Ed.), 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) IEEE. https://doi.org/10.1109/CASE56687.2023.10260660

Tola, D. & Corke, P. (2024). Understanding URDF: A Dataset and Analysis. IEEE Robotics and Automation Letters, 9(5), 4479-4486. Article 10478618. https://doi.org/10.1109/LRA.2024.3381482

Thule, C., Gomes, C. & Lausdahl, K. G. (2020). Formally Verified FMI Enabled External Data Broker: Rabbitmq FMU. In Proceedings of the 2020 Summer Simulation Conference (pp. 1-12). Article 12 Association for Computing Machinery. https://doi.org/10.5555/3427510.3427533

Thrysøe, S. A. (2021). Educating biomedical 3D printing engineers. Transactions on Additive Manufacturing Meets Medicine , 3(1), Article 512. https://doi.org/10.18416/AMMM.2021.2109512

Thomsen, S. T., Brusatori, M. F., Arent, N. H., Kumar, R. R. & Volet, N. (2023). Frequency noise measurements using coherent self-heterodyne detection. Optics Letters, 48(24), 6372-6375. https://doi.org/10.1364/OL.505960

Thoft Krogshave, J., Böttjer, T. & Ramanujan, D. (2020). Machine-Specific Energy Estimation Using the Unit Process Life Cycle Inventory (UPLCI) Model. In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC) Article V006T06A031 American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2020-22483

Teizer, J., Johansen, K. W. & Schultz, C. P. L. (2022). The Concept of Digital Twin for Construction Safety. In F. Jazizadeh, T. Shealy & M. J. Garvin (Eds.), Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics (pp. 1156-1165). American Society of Civil Engineers. https://doi.org/10.1061/9780784483961.121

Taurone, F., Fehér, M., Sipos, M. & Lucani Rötter, D. E. (2024). TREAT - Two wRongs makE A righT: Efficient distributed storage and queries of IoT datasets with erasure coding and compression. In DEBS 2024: Proceedings of the 18th ACM International Conference on Distributed and Event-Based Systems (pp. 147-158). Association for Computing Machinery. https://doi.org/10.1145/3629104.3666039

Tashakor, N., Arabsalmanabadi, B., Naseri, F. & Goetz, S. (2022). Low-Cost Parameter Estimation Approach for Modular Converters and Reconfigurable Battery Systems Using Dual Kalman Filter. IEEE Transactions on Power Electronics, 37(6), 6323-6334. https://doi.org/10.1109/TPEL.2021.3137879

Tashakor, N., Naseri, F., Fang, J., Schotten, H. & Goetz, S. (2022). Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON49645.2022.9968369

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Technical reports

Department of Electrical and Computer Engineering publishes technical reports covering our research areas.

With the reports, we wish to communicate the newest knowledge and research to society ahead of and during the publication process which can take up to a year.

Read the technical reports by following the link below:

Technical Report Department of Electrical and Computer Engineering

PhD dissertations

At the Department of Electrical and Computer Engineering, PhD dissertations are published via Aarhus University Library's/State and University Library's online E-books platform that is open access. You can find the published dissertations by following the link below.

PhD dissertations at Department of Electrical and Computer Engineering

AU Engineering Profile

Download AU Engineering Profile 2013-2022:

Revised 22.02.2024

AU Engineering