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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Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew, D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A., Bamber, B. A., Bassham, D. C., Bergamini, E., Bi, X., Biard-Piechaczyk, M., Blum, J. S., Bredesen, D. E., Brodsky, J. L., Brumell, J. H. ... Deter, R. L. (2008). Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes. Autophagy, 4(2), 151-75. https://doi.org/10.4161/auto.5338

Kleinschmidt, V., Hamacher, T. & Peric, V. (2022). Flexibility in active distribution networks - Modelling a fully coupled multi-energy system in MESMO. In Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022 (pp. 475-479). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTAsia54193.2022.10003526

Kleinschmidt, V., Troitzsch, S., Hamacher, T. & Peric, V. (2021). Flexibility in distribution systems Modelling a thermal-electric multi-energy system in FLEDGE. In Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope52324.2021.9640044

Kleinschmidt, V., Hamacher, T., Peric, V. & Reza Hesamzadeh, M. (2020). Unlocking Flexibility in Multi-Energy Systems: A Literature Review. In 2020 17th International Conference on the European Energy Market, EEM 2020 Article 9221927 IEEE Computer Society. https://doi.org/10.1109/EEM49802.2020.9221927

Kjaer-Rasmussen, A., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2022). Fast removal of powerline harmonic noise from surface NMR datasets using a projection-based approach on graphical processing units. IEEE Geoscience and Remote Sensing Letters, 19, Article 8024005. https://doi.org/10.1109/LGRS.2021.3118064

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

Khooban, M. H. & Dragicevic, T. (Eds.) (2021). Control Strategy for Time-Delay Systems: Part I : Concepts and Theories. Academic Press. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-12-820599-0

Khooban, M. H. & Dragicevic, T. (Eds.) (2021). Control Strategy for Time-Delay Systems: Part II : Engineering Applications. Elsevier. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-323-85347-7

Khooban, M. H. (2023). Smartenance DC-DC On-Board Power Converters. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(1), 191-195. https://doi.org/10.1109/TCSII.2022.3206230

Khezri, R., Mahmoudi, A. & Khooban, M. H. (2021). Microgrids planning for residential electrification in rural areas. In S. Padmanaban, P. Sivaraman, C. Sharmeela & J. B. Holm-Nielsen (Eds.), Residential Microgrids and Rural Electrifications (pp. 1-25). Academic Press. https://doi.org/10.1016/B978-0-323-90177-2.00014-1

Khezri, R., Mahmoudi, A., Khooban, M. H. & Ertugrul, N. (2021). Optimal Sizing of Grid-tied Residential Microgrids Under Real-Time Pricing. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (pp. 771-776). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595828

Khezri, R., Razmi, P., Mahmoudi, A., Bidram, A. & Khooban, M. H. (2023). Machine Learning-based Sizing of a Renewable-Battery System for Grid-Connected Homes with Fast-Charging Electric Vehicle. IEEE Transactions on Sustainable Energy, 14(2), 837-848. https://doi.org/10.1109/TSTE.2022.3227003

Khawaja, A., Khan, T. M., Naveed, K., Naqvi, S. S., Rehman, N. U. & Nawaz, S. J. (2019). An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled With the Probabilistic Patch Based Denoiser. IEEE Access, 7, 164344-164361. https://doi.org/10.1109/access.2019.2953259

Kharghanian, R., Peiravi, A., Moradi, F. & Iosifidis, A. (2021). Pain detection using batch normalized discriminant restricted Boltzmann machine layers. Journal of Visual Communication and Image Representation, 76, Article 103062. https://doi.org/10.1016/j.jvcir.2021.103062

Khare, S. K., Gaikwad, N. & Bajaj, V. (2022). VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection. IEEE Transactions on Instrumentation and Measurement, 71, 1-10. Article 4008310. https://doi.org/10.1109/TIM.2022.3204076

Khare, S. K., Gaikwad, N. & Bokde, N. D. (2022). An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets. Sensors (Switzerland), 22(21), Article 8128. https://doi.org/10.3390/s22218128

Khare, S. K. & Acharya, U. R. (2023). An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. Computers in Biology and Medicine, 155, Article 106676. https://doi.org/10.1016/j.compbiomed.2023.106676

Khare, S. K., March, S., Barua, P. D., Gadre, V. M. & Acharya, U. R. (2023). Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade. Information Fusion, 99, Article 101898. https://doi.org/10.1016/j.inffus.2023.101898

Khare, S. K., Khan, A. M., Bajaj, V. & Sinha, G. R. (2023). Introduction to smart healthcare and the role of cognitive sensors. In G. R. Sinha & V. Bajaj (Eds.), Cognitive Sensors: Applications in smart healthcare (Vol. 2, pp. 1-21). IOP Publishing. https://doi.org/10.1088/978-0-7503-5346-5ch1

Khare, S. K. & Acharya, U. R. (2023). Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. Knowledge-Based Systems, 278, Article 110858. https://doi.org/10.1016/j.knosys.2023.110858

Khare, S. K., Bajaj, V., Gaikwad, N. B. & Sinha, G. R. (2023). Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. Sensors, 23(18), Article 7860. https://doi.org/10.3390/s23187860

Khan, T. M., Khan, M. A. U., Rehman, N. U., Naveed, K., Afridi, I. U., Naqvi, S. S. & Raazak, I. (2022). Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control, 71(Part A), Article 103169. https://doi.org/10.1016/j.bspc.2021.103169

Khan, N., Baig, F., Nawaz, S., Rehman, N. U. & Sharma, S. (2016). Analysis of Power Quality Signals Using an Adaptive Time-Frequency Distribution. Energies, 9(11), 933. https://doi.org/10.3390/en9110933

Khalid, S. S., Rehman, N. U., Abrar, S. & Mihaylova, L. (2018). Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. In 2018 21st International Conference on Information Fusion (FUSION) IEEE. https://doi.org/10.23919/icif.2018.8455608

Khalid, S. S., Rehman, N. U. & Abrar, S. (2017). Robust stochastic integration filtering for nonlinear systems under multivariate t -distributed uncertainties. Signal Processing, 140, 53-59. https://doi.org/10.1016/j.sigpro.2017.05.007

Kazemi, Z., Rask, J. K., Gomes, C., Yildiz, E. & Larsen, P. G. (2023). Movable factory—A systematic literature review of concepts, requirements, applications, and gaps. Journal of Manufacturing Systems, 69, 189-207. https://doi.org/10.1016/j.jmsy.2023.06.008

Katikaridis, D., Moysiadis, V., Tsolakis, N., Busato, P., Kateris, D., Pearson, S., Sørensen, C. G. & Bochtis, D. (2022). UAV-Supported Route Planning for UGVs in Semi-Deterministic Agricultural Environments. Agronomy, 12(8), Article 1937. https://doi.org/10.3390/agronomy12081937

Kass, M. A., Grombacher, D., Griffiths, M., Vang, M. Ø., Liu, L. & Larsen, J. J. (2022). A steady-state approach to surface nuclear magnetic resonance. In Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (pp. 54). J and N Group, Ltd.. https://www.eegs.org/assets/docs/Symposium/2022SAGEEP/AbstractsbyAuthor/Kass%2C%20A%20STEADY-STATE%20APPROACH%20TO%20SURFACE%20NUCLEAR%20MAGNETIC%20RESONANCE%20-%20SAGEEP%202022%20-%20205367449.pdf

Kappel, S. L. & Kidmose, P. (2022). Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO₂ Electrodes. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3127-3130). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871923

Kamari, A., Petersen, J. H. & Schultz, C. P. L. (2021). Popularizing DGNB in the Danish construction industry: A field study of the industry via a qualitative comparative analysis. In Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (pp. 638-649). Article 64. http://itc.scix.net/paper/w78-2021-paper-064

Kamari, A. & Schultz, C. P. L. (2022). A combined principal component analysis and clustering approach for exploring enormous renovation design spaces. Journal of Building Engineering , 48, Article 103971. https://doi.org/10.1016/j.jobe.2021.103971

Kamari, A., Kotula, B. M. & Schultz, C. P. L. (2022). A BIM-based LCA tool for sustainable building design during the early design stage. Smart and Sustainable Built Environment, 11(2), 217-244. https://doi.org/10.1108/SASBE-09-2021-0157

Kamari, A., Schultz, C. P. L. & Petersen, S. (Eds.) (2022). Digital Sustainability in Building Design: Special issue. Sustainability https://www.mdpi.com/journal/sustainability/special_issues/digital_building

Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. In E. Hjelseth, S. F. Sujan & R. J Scherer (Eds.), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway. (Vol. 1, pp. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-427, https://doi.org/10.1201/9781003354222-4

Kamal, T., Karabacak, M., Perić, V. S., Hassan, S. Z. & Fernández‐Ramírez, L. M. (2020). Novel improved adaptive neuro‐fuzzy control of inverter and supervisory energy management system of a microgrid. Energies, 13(18), Article 4721. https://doi.org/10.3390/en13184721

Kakavandi, F., de Reus, R., Gomes, C., Heidari, N., Iosifidis, A. & Larsen, P. G. (2022). Product Quality Control in Assembly Machine under Data Restricted Settings. In 2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022 (pp. 735-741). IEEE. https://doi.org/10.1109/INDIN51773.2022.9976173

Kakavandi, F. & Larsen, P. G. (2023). Explainable Product Quality Assessment in a Medical Device Assembly Pilot Line. In 2022 10th International Conference on Control, Mechatronics and Automation, ICCMA 2022 (pp. 271-275). IEEE. https://doi.org/10.1109/ICCMA56665.2022.10011621

Kakavandi, F., Gomes, C., de Reus, R., Badstue, J., Jensen, J. L., Larsen, P. G. & Iosifidis, A. (2023). Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study. In E. Karaarslan, Ö. Aydin, Ü. Cali & M. Challenger (Eds.), Digital Twin Driven Intelligent Systems and Emerging Metaverse (pp. 39-64). Springer. https://doi.org/10.1007/978-981-99-0252-1_2

Kakavandi, F., Han, P., de Reus, R., Larsen, P. G. & Zhang, H. (2023). Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. In International Conference on Control, Automation and Diagnosis IEEE. https://doi.org/10.1109/ICCAD57653.2023.10152435

Kaiser, M., Kristensen, J. K. & Thomsen, P. T. (2023). Afklaring af tekniske data og dyrevelfærdsaspekter i forbindelse med aflivning af grise med CO2 i beredskabssituationer. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Junghanns, A., Blochwitz, T., Bertsch, C., Sommer, T., Wernersson, K., Pillekeit, A., Zacharias, I., Blesken, M., Mai, P. R., Schuch, K., Schulze, C., Gonçalves Gomes, C. Â. & Najafi, M. (2021). The Functional Mock-up Interface 3.0 - New Features Enabling New Applications. In M. Sjölund, L. Buffoni, A. Pop & L. Ochel (Eds.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (pp. 17-26) https://doi.org/10.3384/ecp2118117

Jørgensen, U., Kristensen, T., Jørgensen, J. R., Kongsted, A. G., De Notaris, C., Nielsen, C., Mortensen, E. Ø., Ambye-Jensen, M., Jensen, S. K., Stødkilde-Jørgensen, L., Dalsgaard, T. K., Møller, A. H., Grøn Sørensen, C., Asp, T., Lehmann Olsen, F. & Gylling, M. (2021). Green biorefining of grassland biomass. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport No. 193 https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480

Jørgensen, S. D., Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (Accepted/In press). Long-term ear-EEG monitoring of sleep – A case study during shift work. Journal of Sleep Research, 32(5), Article e13853. https://doi.org/10.1111/jsr.13853

Johansen, K. W., Nielsen, R. O., Schultz, C. P. L. & Teizer, J. (2020). Non-monotonic Reasoning For Automated Progress Analysis Of Construction Operations. In N. Dawood , F. Pour Rahimian, S. Seyedzadeh & M. Sheikhkhoshkar (Eds.), Enabling the Development and Implementation of Digital Twins: Proceedings of the 20th International Conference on Construction Applications of Virtual Reality (pp. 292-303) https://www.researchgate.net/profile/Farzad-Pour-Rahimian/publication/344444905_Enabling_the_Development_and_Implementation_of_Digital_Twins_Proceedings_of_the_20th_International_Conference_on_Construction_Applications_of_Virtual_Reality/links/5fb3ec4445851518fdad5eab/Enabling-the-Development-and-Implementation-of-Digital-Twins-Proceedings-of-the-20th-International-Conference-on-Construction-Applications-of-Virtual-Reality.pdf

Johansen, K. W., Nielsen, R., Schultz, C. & Teizer, J. (2021). Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-486. https://doi.org/10.1108/SASBE-03-2021-0044

Johansen, P. (2004). Quantification of Cavitation in the Vicinity of Mechanical Heart Valves.

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. In C. Feng, T. Linner & I. Brilakis (Eds.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (pp. 629-636) https://doi.org/10.22260/ISARC2021/0085

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2022). BIM-based fall hazard ontology and benchmark model for comparison of automated prevention through design approaches in construction safety. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 408-417) https://ebooks.au.dk/aul/catalog/view/455/311/1837-3

Johansen, K. W., Schultz, C. & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering, 38(15), 2128-2144. https://doi.org/10.1111/mice.12988

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2024). Automated performance assessment of prevention through design and planning (PtD/P) strategies in construction. Automation in Construction, 157, Article 105159. https://doi.org/10.1016/j.autcon.2023.105159

Displaying results 451 to 500 out of 865

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:

Get a copy of the AU Engineering Profile 2022

If you wish to get a copy of AU Engineering Profile 2022, please contact contact@auengineering.au.dk

Revised 10.08.2023

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