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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Legaard, C. M. (2023). The Next Paradigm for Modeling and Simulation? Integrating Machine Learning Methods in FMI-based Co-Simulation. [PhD dissertation, Aarhus University]. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

Li, R., Shreya, S., Ricci, S., Bridarolli, D., Ielmini, D., Farkhani, H. & Moradi, F. (2023). Thermal-Induced Multi-State Memristors for Neuromorphic Engineering. In IEEE International Symposium on Circuits and Systems (ISCAS): Proceedings IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182122

Zayed, Y. N. H. (2023). Towards a Human-Centered Framework for the Assessment of Subjective Social Values in Buildings. In J. Vanthienen, T. Kliegr, P. Fodor, D. Lanti, D. Arndt, E. V. Kostylev, T. Mitsikas & A. Soylu (Eds.), RuleML+RR-Companion 2023: RuleML+RR Challenge and Doctoral Consortium 2023 (Vol. 3485). CEUR-WS.org. https://ceur-ws.org/Vol-3485/paper6908.pdf

Schultz, C. P. L., Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G. & Kamari, A. (2023). Towards a human-centred framework for representing and reasoning about social values in buildings. 1-10. Paper presented at 30th EG-ICE: International Conference on Intelligent Computing in Engineering. https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/towards_a_human-centred_framework_for_representing_and_reasoning_about_social_values_in_buildings.pdf

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

Sergeeva, A. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. [PhD dissertation, Aarhus University]. Aarhus University.

Aher, G. R., Boudjadar, J. & Ramanujan, D. (2023). Towards Simulation-Based Circular Product Design. Procedia CIRP, 116, 690-695. https://doi.org/10.1016/j.procir.2023.02.116

Bennedsen, J. & Øien, G. (2023). TRANSNATIONAL COLLABORATION ON LIFELONG LEARNING BETWEEN HIGHER ENGINEERING EDUCATION INSTITUTIONS: A UNIVERSITY PERSPECTIVE. In G. Reilly, M. Murphy, B. V. Nagy & H.-M. Jarvinen (Eds.), SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (pp. 173-182). European Society for Engineering Education (SEFI). https://doi.org/10.21427/2F51-E932

Maalandish, M., Babaeian, E., Abolhasani, P., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Ultra high step-up soft-switching DC/DC converter using coupled inductor and interleaved technique. IET Power Electronics, 16(8), 1320-1338. https://doi.org/10.1049/pel2.12472

Rashidi, A., Zamani, M., Mondal, T., Hosseini, S., Laursen, K., Corbett, B. & Moradi, F. (2023). Ultrasonically Powered and Controlled Microsystem for Dual-Wavelength Optogenetics With a Multiload Regulation Scheme. IEEE Solid-State Circuits Letters, 6, 33-36. https://doi.org/10.1109/LSSC.2023.3239601

Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [PhD dissertation, Aarhus University]. Aarhus University.

Lillelund, C. M., Magris, M. & Pedersen, C. F. (2023). Uncertainty Estimation in Deep Bayesian Survival Models. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23) IEEE. https://doi.org/10.1109/BHI58575.2023.10313466

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. & 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

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

Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Article 109099. https://doi.org/10.1016/j.fcr.2023.109099

Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. In ICAIF 2023 - 4th ACM International Conference on AI in Finance (pp. 541-548). Association for Computing Machinery. https://doi.org/10.1145/3604237.3626863

Naveed, K., Meldgaard Madsen, L., Grombacher, D. & Larsen, J. J. (2023). Variational Mode Decomposition-Based Processing of Time-Domain Induced Polarization Data. Abstract from NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320133

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2023). Variational Neural Networks. Procedia Computer Science, 222, 104-113. https://doi.org/10.1016/j.procs.2023.08.148

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810

Akhbari, A., Rahimi, M. & Khooban, M. H. (2023). Various Control Strategies Performance Assessment of the DFIG wind turbine connected to a DC grid. IET Electric Power Applications, 17(5), 687-708. https://doi.org/10.1049/elp2.12297

Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Fathollahi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 65-75. https://doi.org/10.1109/TETCI.2022.3168507

Adamsen, A. P. S., Kastensand, M., Larsen, P. F., Kristensen, E. F., Kristensen, J. K., Holm, M. & Guldberg, L. B. (2023). Weekly discharge of slurry with collection and destruction of methane gases from covered manure slurry storages can more than halve climate gas emissions from pig production. Abstract from Agri Food and Climate Circle 2023, Copenhagen, Denmark.

Böhnert, T., Rezaeiyan, Y., Claro, M. S., Benetti, L., Jenkins, A. S., Farkhani, H., Moradi, F. & Ferreira, R. (2023). Weighted spin torque nano-oscillator system for neuromorphic computing. Nature Communication Engineering, 2(1), Article 65. https://doi.org/10.1038/s44172-023-00117-9

Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799

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

Tajalli, S. A. M., Tajalli , S. Z., Homayounzadeh, M. & Khooban, M. H. (2023). Zero-Carbon Power-to-Hydrogen Integrated Residential System Over a Hybrid Cloud Framework. IEEE Transactions on Cloud Computing , 11(3), 3099-3110. https://doi.org/10.1109/TCC.2023.3257995

Taurone, F., Lucani Rötter, D. E. & Zhang, Q. (2023). Zip to Zip-it: Compression to Achieve Local Differential Privacy. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (pp. 2196-2201). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437448

Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. In A. Iosifidis & A. Tefa (Eds.), Deep Learning for Robot Perception and Cognition (pp. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X

Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, Article 105017. https://doi.org/10.1016/j.cageo.2021.105017

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

Ghanatian, H., Farkhani, H., Rezaeiyan, Y., Bohnert, T., Ferreira, R. & Moradi, F. (2022). A 3-Bit Flash Spin-Orbit Torque (SOT)-Analog-to-Digital Converter (ADC). IEEE Transactions on Electron Devices, 69(4), 1691-1697. https://doi.org/10.1109/TED.2022.3142649

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

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2022). Accurate detection and identification of insects from camera trap images with deep learning. bioRxiv. https://doi.org/10.1101/2022.10.25.513484

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, Article e13837. https://doi.org/10.7717/peerj.13837

Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), Article 014001. https://doi.org/10.1088/1361-6463/ac28bb

Pianini, D., Pettinari, F., Casadei , R. & Esterle, L. (2022). A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems. ACM Transactions on Autonomous and Adaptive Systems, 17(1-2), 1-39. Article 4. https://doi.org/10.1145/3547145

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

Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Paper presented at IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, United States. https://doi.org/10.1109/ECCE50734.2022.9947433

Rezaei, M. A., Fathollahidehkordi, A., Rezaei, S., Hu, J., Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H. & Khooban, M. H. (2022). Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles. IEEE Access, 10, 132271-132287. https://doi.org/10.1109/ACCESS.2022.3228916

Boudjadar, J. (2022). A Digital Twin Setup for Safety-aware Optimization of a Cyber-Physical System. 161-168. Paper presented at International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal. https://doi.org/10.5220/0011272100003271

Rask, J. K., Madsen, F. P., Battle, N., Freitas, L., Macedo, H. D. & Larsen, P. G. (2022). Advanced VDM Support in Visual Studio Code. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 34-49) https://doi.org/10.48550/arXiv.2208.10233

Boudjadar, J. (2022). A Flexible Implementation Model for Neural Networks on FPGAs. Paper presented at International Conference on Intelligent Systems Design and Applications.

Mokarram, M., Pham, T. M. & Khooban, M. H. (2022). A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant. Environmental Science and Pollution Research, 29(56), 84661-84674. https://doi.org/10.1007/s11356-022-21734-5

Ghanatian Najafabadi, H., Farkhani, H. & Moradi, F. (2022). A Hybrid Spin-CMOS Flash ADC based on Spin Hall Effect and Spin Transfer Torque. In Proceedings - 2022 IEEE 40th International Conference on Computer Design, ICCD 2022 (pp. 701-704). IEEE. https://doi.org/10.1109/ICCD56317.2022.00107

Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patent No. WO2022029158A1). https://patents.google.com/patent/WO2022029158A1

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, Article e00331. https://doi.org/10.1016/j.ohx.2022.e00331

Andalibi, M., Madani, S., Ziebert, C., Naseri, F. & Hajihosseini, M. (2022). A Model-Based Approach for Voltage and State-of- Charge Estimation of Lithium-ion Batteries. In E. Pashajavid, D. Kim, S. Rajakaruna & A. Abu-Siada (Eds.), 2022 IEEE Sustainable Power and Energy Conference (iSPEC) IEEE. https://doi.org/10.1109/iSPEC54162.2022.10032998

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