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.

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Riishede Christiansen, I. L., Ekelund, C. K., Sperling, L., Overgaard, M., Knudsen, C. S., Clausen, T. D., Pihl, K., Zingenberg, H., Wright, A., Wright, D., Tabor, A., Rode, L. & Collaborators (2024). Screening for pre-eclampsia with competing-risks model using placental growth factor measurement in blood samples collected before 11 weeks' gestation. Ultrasound in Obstetrics & Gynecology, 63(3), 342-349. https://doi.org/10.1002/uog.27462

the PRESIDE Study Group (2025). Screening for pre-eclampsia using pregnancy-associated plasma protein-A or placental growth factor measurements in blood samples collected at 8–14 weeks' gestation. Ultrasound in Obstetrics and Gynecology, 65(5), 567-574. https://doi.org/10.1002/uog.29204

Bozcan, I., Korndörfer, C., Madsen, M. W. & Kayacan, E. (2022). Score-based Anomaly Detection for Smart Manufacturing Systems. IEEE - ASME Transactions on Mechatronics, 27(6), 5233-5242. https://doi.org/10.1109/TMECH.2022.3169724

Khare, S. K., Bajaj, V. & Acharya, U. R. (2023). SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals. Physiological Measurement, 44(3), Article 035005. https://doi.org/10.1088/1361-6579/acbc06

Ehlers, M. H., Finger, R., El Benni, N., Gocht, A., Sørensen, C. A. G., Gusset, M., Pfeifer, C., Poppe, K., Regan, Á., Rose, D. C., Wolfert, S. & Huber, R. (2022). Scenarios for European agricultural policymaking in the era of digitalisation. Agricultural Systems, 196, Article 103318. https://doi.org/10.1016/j.agsy.2021.103318

Ong, S.-Q., Pinoy, N., Hui Lin, M., Bjerge, K., Peris-Felipo, F. J., Lind, R., P. Cuff, J., M. Cook, S. & Høye, T. T. (2025). ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models. Current Research in Parasitology & Vector-Borne Diseases, 7, Article 100268. https://doi.org/10.1016/j.crpvbd.2025.100268

Nielsen, L. (2022). Scalable Storage for Massive Volume Data Systems. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Fernández Khatiboun, D., Richter, S., Piozin, C., Rezaeiyan, Y. & Moradi, F. (2025). Scalable Low-Power Hardware Architecture for Spike-Timing-Dependent SNN Learning Algorithms. 5-9. Paper presented at 2025 23rd IEEE Interregional NEWCAS Conference, Paris, France. https://doi.org/10.1109/NewCAS64648.2025.11107177

Faurskov, T. S. S., Skov, L. N., Grinderslev, J. B., Kristensen, L. R., Bendtsen, J. M. H., Dahl, M. K., Kessler, T., Andersen, B. P., Kantor, I., Jørgensen, M. R. V., Ravnsbæk, D. B. & Jensen, T. R. (2026). Sample environment for operando solid-state battery characterization. Journal of Applied Crystallography, 59(2), 513-523. https://doi.org/10.1107/S1600576726000853

Xu, L., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2022). Saliency-based Weighted Multilabel Linear Discriminant Analysis. IEEE Transactions on Cybernetics, 52(10), 10200-10213. https://doi.org/10.1109/TCYB.2021.3069338

le Fevre Sejersen, J., Pimentel De Figueiredo, R. & Kayacan, E. (2021). Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Jensen, M. H., Rasmussen, M., Mohamad, N., Dyrskog, S. E., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M. H., Rom Poulsen, F., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshoej, A. R. (2023). Safety, harm, and efficacy of IRRAflow® versus external ventricular drainage for intraventricular hemorrhage: A randomized clinical trial. medRxiv. https://doi.org/10.1101/2023.07.08.23292286

Isasa, C., Abou El Wafa, N., Gomes, C., Larsen, P. G. & Platzer, A. (2026). Safe Temperature Regulation: Formally Verified and Real-World Validated. In F. Damiani & M. Farrell (Eds.), Integrated Formal Methods - 20th International Conference, iFM 2025, Proceedings (pp. 143-161). Springer. https://doi.org/10.1007/978-3-032-10794-7_8

Li, B., Schultz, C. P. L., Melzner, J., Golovina, O. & Teizer, J. (2020). Safe and Lean Location-based Construction Scheduling. In H. Osumi, H. Furuya & K. Tateyama (Eds.), Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020): From Demonstration to Practical Use - To New Stage of Construction Robot - (pp. 1409-1416). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2020/0195

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

Sørensen, R. A. (2021). Routing in Simulated Baggage Handling Systems using Centralized Deep Reinforcement Learning. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Pajooh, B., Yildirim, B., Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Homayounzadeh, M. & Khooban, M. H. (2024). Role of redox flow battery and AI-based controller in frequency regulation of weak microgrids. Journal of Energy Storage, 84(Part B), Article 110904. https://doi.org/10.1016/j.est.2024.110904

Sadabadi, M. S., Sharifzadeh, M., Laurendeau, E., Gheisarnejad, M., Khooban, M. H., Portillo, R., Franquelo, L. G. & Al-Haddad, K. (2025). Robust Vector Current Control of Grid-Interactive Smart Packed E-Cell Multi-Level Inverters Under Non-Ideal Grid Conditions. IEEE Transactions on Energy Conversion, 40(2), 1009-1021. https://doi.org/10.1109/TEC.2024.3471191

Sami, I., Koh, H. G., Salman, M., Ullah, S. & Al-Ismail, F. S. (2026). Robust super twisting terminal sliding mode control of grid connected pumped storage hydro power plants in pumping and turbine mode. Electric Power Systems Research, 259, Article 113153. https://doi.org/10.1016/j.epsr.2026.113153

Skovsen, S. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021). Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors, 21( 1), Article 175. https://doi.org/10.3390/s21010175

Iqbal, S., Naveed, K., Naqvi, S. S., Naveed, A. & Khan, T. M. (2023). Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector. Digital Signal Processing: A Review Journal, 139, Article 104075. https://doi.org/10.1016/j.dsp.2023.104075

Homayounzade, M., Homayounzadeh, M. & Khooban, M. H. (2023). Robust positive control of tumour growth using angiogenic inhibition. IET Systems Biology, 17(5), 288-301. https://doi.org/10.1049/syb2.12076

Sejersen, J. L. F. (2025). Robust Multi-Agent Path Planning in Dynamic Environments. [PhD dissertation, Aarhus University].

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Robust hypersphere-based weight imprinting for few-shot learning. In 2020 28th European Signal Processing Conference (EUSIPCO (pp. 1392-1396). Article 9287340 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287340

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1397-1401). Article 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557

Sami, I., Salman, M., Koh, H. G., Ullah, S., Boccaletti, C. & Al-Ismail, F. S. (2026). Robust Control of Quad-Active-Bridge Converter Employing Zeroing Neural Networks and Super-Twisting Sliding Mode Control. IEEE Open Journal of Industry Applications, 7, 597-611. https://doi.org/10.1109/OJIA.2026.3696116

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

Fathollahidehkordi, A., Gheisarnejad Chirani, M., Andresen, B., Farsizadeh, H. & Khooban, M. H. (2023). Robust Artificial intelligence Controller for Stabilization of Full-Bridge Converters Feeding Constant Power Loads. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(9), 3504-3508. https://doi.org/10.1109/TCSII.2023.3270751

Berntsen, J., Rimestad, J., Lassen, J. T., Tran, D. & Kragh, M. F. (2022). Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences. PLoS One, 17(2 ), Article e0262661. https://doi.org/10.1371/journal.pone.0262661

Gardner, A. B., Gravesen, K. B., Loft, J. C., Tønning, P., Stanton, E. J., Ulsig, E. Z. & Volet, N. (2025). Robust and broadband UV laser utilizing Čerenkov phase matching on a hybrid photonic chip. Optics Express, 33(9), 19330-19341. https://doi.org/10.1364/OE.553404

Bochtis, D., Sørensen, C. A. G., Jørgensen, R. N., Nørremark, M., Hameed, I. A. & Swain, K. C. (2011). Robotic weed monitoring. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61(3), 202-208. https://doi.org/10.1080/09064711003796428

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., Gomes, C., Schultz, C., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a domain model for industrial robot system configurators. CEUR Workshop Proceedings, 2956.

Frasheri, M., Ejersbo, H., Thule, C. & Esterle, L. (2021). RMQFMU: Bridging the Real World with Co-simulation For Practitioners. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 66-80) https://arxiv.org/pdf/2110.09371.pdf

Mukherjee, M., Kumar, V., Kumar, S., Mavromoustakis, C. X., Zhang, Q. & Guo, M. (2022). RIS-assisted Task Offloading for Wireless Dead Zone to Minimize Delay in Edge Computing. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 2554-2559). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001478

Yazdani, N. & Lucani Rötter, D. E. (2021). Revolving Codes: Overhead and Computational Complexity Analysis. IEEE Communications Letters, 25(2), 374-378. Article 9210058. https://doi.org/10.1109/LCOMM.2020.3027875

Brusatori, M. F. & Volet, N. (2021). Revised theory for the linewidth of diode lasers under external optical feedback. In V. S. Ilchenko, A. M. Armani, J. V. Sheldakova, A. V. Kudryashov & A. H. Paxton (Eds.), Laser Resonators, Microresonators, and Beam Control XXIII Article 1167211 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2583210

Shekar, S., Satpute, N. & Gupta, A. (2021). Review on diabetic retinopathy with deep learning methods. Journal of Medical Imaging, 8(6), Article 060901. https://doi.org/10.1117/1.JMI.8.6.060901

Kremer, T., Irons, T., Müller-Petke, M. & Juul Larsen, J. (2022). Review of Acquisition and Signal Processing Methods for Electromagnetic Noise Reduction and Retrieval of Surface Nuclear Magnetic Resonance Parameters. Surveys in Geophysics, 43(4), 999-1053. https://doi.org/10.1007/s10712-022-09695-3

Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Paper presented at International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view

Oshnoei, S., Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Resilient Cyber-Attack Detection and Mitigation in Grid-Tied PEC9 Inverter Using A3C-Based Adaptive Control. In 2025 IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 IEEE. https://doi.org/10.1109/ECCE58356.2025.11259768

Heidari, N. (2022). Representation Learning for Graph-Structured Data Analysis. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Nørremark, M. & Grøn Sørensen, C. (2023). Report from the regional workshops: Deliverable 3.3 AgroFossilFree. Final Report on AFF regional workshops outcome.

Benhassen, L. L., Hedensted, J. H., Hasenkam, J. M. & Johansen, P. (2023). Reply to Jasinski et al. European Journal of Cardio-Thoracic Surgery, 64(3), ezad312. Article ezad312. https://doi.org/10.1093/ejcts/ezad312

Kjær, T. W., Rank, M. L., Hemmsen, M. C., Kidmose, P. & Mikkelsen, K. (2022). Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography. PLOS Digital Health, 1(10), Article e0000134. https://doi.org/10.1371/journal.pdig.0000134

Wang, X., Mukherjee, M., Kumar, V., Mavromoustakis, C. X., Shoufan, A., Guo, M. & Zhang, Q. (2023). Rendering Delay Minimization in RIS-assisted Edge Computing for IIoT with VR Streaming. In 2023 IEEE Globecom Workshops, GC Wkshps 2023 (pp. 1319-1324). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465022

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, Article 5923410. https://doi.org/10.1109/TGRS.2022.3223737

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

Jensen, M. H., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S. E., Simonsen, C. Z., Grønhøj, M. H., Rom Poulsen, F., Rehman, N. U. & Korshoej, A. R. (2023). Reliability and Performance of the IRRAflow® System for Intracranial Lavage and Evacuation of Hematomas - A Technical Note. https://doi.org/10.1101/2023.07.07.23292372

Haldrup, M., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S., Ziegler Simonsen, C., Grønhøj, M., Poulsen, F. R., Ur Rehman, N. & Rosendal Korshoej, A. (2024). Reliability and performance of the IRRAflow® system for intracranial lavage and evacuation of hematomas-A technical note. PLoS One, 19(4 April), Article e0297131. https://doi.org/10.1371/journal.pone.0297131

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