Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknolog.

Publikationsliste

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Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patentnummer WO2022029158A1). https://patents.google.com/patent/WO2022029158A1

Shi, L., Pantic, M., Andersson, O., Tognon, M., Siegwart, R. & Jacobsen, R. H. (2022). Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots. I IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 (s. 3384-3391). IEEE. https://doi.org/10.1109/IROS47612.2022.9981658

Shi, L. (2022). Motion Planning for Autonomous Aerial Robots. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Shen, K., Zhao, Z., Chen, Y., Zhang, Z. & Cheng, H. V. (2024). Accelerating Quadratic Transform and WMMSE. IEEE Journal on Selected Areas in Communications, 42(11), 1. https://doi.org/10.1109/JSAC.2024.3431523

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

Sharma, B., Bhutia, P. R., Raj, R. K., Chettri, B., Kaushik, B. K. & Shreya, S. (2025). VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application. IEEE Open Journal of Nanotechnology, 6, 44-50. https://doi.org/10.1109/OJNANO.2025.3550173

Sharifirad, I. & Boudjadar, J. (2024). A Computationally-efficient Semi-supervised Learning Model for the Estimation of State Degradation of a Milling Tool. I 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (s. 187-192). IEEE. https://doi.org/10.1109/SAMI60510.2024.10432881

Shahgholian, G. & Fathollahi, A. (2024). Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System. AppliedMath, 4(2), 452-467. https://doi.org/10.3390/appliedmath4020024

Shahgholian, G., Moradian, M. & Fathollahi, A. (2025). Droop control strategy in inverter-based microgrids: A brief review on analysis and application in islanded mode of operation. IET Renewable Power Generation, 19(1), Artikel e13186. https://doi.org/10.1049/rpg2.13186

Shahgholian, G. & Fathollahi, A. (2025). Advancing Load Frequency Control in Multi-Resource Energy Systems Through Superconducting Magnetic Energy Storage. AppliedMath, 5(1), Artikel 1. https://doi.org/10.3390/appliedmath5010001

Shafaghi, P., Dolatshahi, M. & Farkhani, H. (2023). Energy-efficient spintronic based neuromorphic computing system using current mode track and termination circuit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9), 2915-2923. https://doi.org/10.1109/TCAD.2023.3238879

Shafaghi, P., Rezaeiyan, Y., Shreya, S., Moradi, F. & Farkhani, H. (2024). Novel Circuit for In-Memory Computing within STT-RAM Memory Blocks. I J. Nurmi, J. Rodrigues, L. Pezzarossa, V. Aberg & B. Behmanesh (red.), 2024 IEEE Nordic Circuits and Systems Conference (NorCAS): Proceedings https://doi.org/10.1109/NorCAS64408.2024.10752464

Shadmani, A., Thomas, R. A., Liu, Z., Papon, C., Heck, M. J. R., Volet, N., Scholz, S., Wieck, A. D., Ludwig, A., Lodahl, P. & Midolo, L. (2022). Integration of GaAs waveguides on a silicon substrate for quantum photonic circuits. Optics Express, 30(21), 37595-37602. https://doi.org/10.1364/OE.467920

Shabani, M. & Iosifidis, A. (2020). Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. I 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (s. 2156-2161). Artikel 9308440 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308440

Shabani, M., Tran, D. T., Magris, M., Kanniainen, J. & Iosifidis, A. (2022). Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. I 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings (s. 1487-1491). IEEE. https://doi.org/10.23919/EUSIPCO55093.2022.9909957

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognition, 141, Artikel 109604. https://doi.org/10.1016/j.patcog.2023.109604

Shabani, M., Magris, M., Tzagkarakis, G., Kanniainen, J. & Iosifidis, A. (2023). Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots. Neural Computing and Applications, 35(25), 18519–18531. https://doi.org/10.1007/s00521-023-08674-y

Shabani, F., Seyedyazdi, M., Vaziri, M., Zarghami, M. & Vadhva, S. (2015). State Estimation of a Distribution System Using WLS and EKF Techniques. I Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015 (s. 609-613). Artikel 7301033 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2015.101

Shabani, M. (2023). Data-driven Inter-Stock Predictive Analytics. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2022). Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 56-59). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871170

Sergeeva, A., Bech Christensen, C. & Kidmose, P. (2024). Effect of Stimulus Bandwidth on the Auditory Steady-State Response in Scalp- and Ear-EEG. Ear and Hearing, 45(3), 626-635. https://doi.org/10.1097/AUD.0000000000001451

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Towards ASSR-based hearing assessment using natural sounds. Journal of Neural Engineering, 21(2), Artikel 026045. https://doi.org/10.1088/1741-2552/ad3b6b

Sergeeva, A. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. I 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings (s. 882-886). IEEE. https://doi.org/10.23919/eusipco63174.2024.10715430

Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A. & Khooban, M. H. (2023). Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control. Journal of Energy Storage, 74(Part A), Artikel 109282. https://doi.org/10.1016/j.est.2023.109282

Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. I IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021 IEEE. https://doi.org/10.1109/MMSP53017.2021.9733624

Sejersen, J. L. F., Sarabakha, A., Plagborg Bak Sørensen, K. & Høigaard Jensen, J. (2025). Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding. 4359-4365. Afhandling præsenteret på 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, Georgia, USA. https://doi.org/10.1109/ICRA55743.2025.11128006

Sejersen, J. L. F. & Kayacan, E. (2023). CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. 1-8. Afhandling præsenteret på 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA. https://doi.org/10.1109/IROS55552.2023.10341937

Sejersen, J. L. F. (2025). Robust Multi-Agent Path Planning in Dynamic Environments. [Ph.d.-afhandling, Aarhus Universitet].

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. I ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500816

Sehat, H., Lucani Rötter, D. E. & Pagnin, E. (2022). Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication. I 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (s. 203-210). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978810

Sehat, H., Lindskov Kloborg, A., Mørup, C., Pagnin, E. & Lucani Rötter, D. E. (2022). Bonsai: A General Look at Dual Dedupliation. https://arxiv.org/pdf/2202.13925

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Schultz, C. P. L. & Kamari, A. (2021). Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model. Journal of Computing in Civil Engineering, 35(4), Artikel 04021006. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000969

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. Afhandling præsenteret på 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

Schultz, C. P. L. & Kamari, A. (2025). Exploring the renovation design space: A new iterative approach based on scenario distance metrics and resampling strategies. Building Simulation, 18(6), 1515-1542. https://doi.org/10.1007/s12273-025-1267-1

Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2022). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. I D. Saelens, J. Laverge, W. Boydens & L. Helsen (red.), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (s. 3268 - 3275). International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2021.30806

Schranz, T., Legaard, C. M., Tola, D. & Schweiger, G. (2021). Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU. I Proceedings of 14th Modelica Conference 2021 (s. 419-424) https://doi.org/10.3384/ecp21181419

Schaper, M.-M. A., Smith, R. C., Tamashiro, M. A., Van Mechelen, M., Lunding, M. S., Bilstrup, K.-E. K., Kaspersen, M. H., Jensen, K. L., Petersen, M. G. & Iversen, O. S. (2022). Computational Empowerment in Practice: Scaffolding teenagers’ learning about emerging technologies and their ethical and societal impact. International Journal of Child - Computer Interaction, 34, Artikel 100537. https://doi.org/10.1016/j.ijcci.2022.100537

Samboju, S. K., Tanjavooru, V. T., Zinsmeister, D. & Peric, V. S. (2021). Modeling of combined heat and power generation unit for dynamic analysis of integrated thermal-electric grids∗. I Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems Artikel 11 Association for Computing Machinery. https://doi.org/10.1145/3470481.3472711

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. Artikel 9328872. https://doi.org/10.1109/TCSII.2021.3053160

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Saleem, B., Badar, R., Manzoor, A., Judge, M. A., Boudjadar, J. & Islam, S. U. (2022). Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System. IEEE Access, 10, 36464-36476. https://doi.org/10.1109/ACCESS.2022.3164455

Salavatidezfouli, S., Rakhsha, S., Sheidani, A., Stabile, G. & Rozza, G. (2025). A predictive surrogate model for heat transfer of an impinging jet on a concave surface. International Journal of Heat and Mass Transfer, 251, Artikel 127248. https://doi.org/10.1016/j.ijheatmasstransfer.2025.127248

Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Artikel 093617. https://doi.org/10.1063/5.0285462

Salamon, H., Wang, Y., Snedker-Nielsen, A., Shadmani, A., Schott, R., Balauroiu, M., Volet, N., Ludwig, A. & Midolo, L. (2025). Electrical Control of Quantum Dots in GaAs-on-Insulator Waveguides for Coherent Single-Photon Generation. Nano Letters, 25(46), 16366-16371. https://doi.org/10.1021/acs.nanolett.5c04044

Sahana, G., Gebreyesus, G., Cheruiyot Bett , R., Kinyua, J., Roos, N., MBI Tanga, C., Mwikirize, C., Akol, R., Khamis, F. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., Hansen, L. S., Nielsen, H. M., Lund, M. S., Geoffrey, S., Walusimbi, S. & Nakimbugwe, D. (2024). FLYgene: Advancing Sustainable Breeding Programs and Genomic Tools for Black Soldier Fly (Hermetia illucens) in Kenya and Uganda. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 633-633) https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Saha, S., Sivakumar, N., Bandaru, N., Roy, S. C. & Rath, J. K. (2025). Electrical characterization and double diode modelling of heterojunction of TiO₂-SnS quantum dots. Journal of Materials Science: Materials in Electronics, 36(10), Artikel 624. https://doi.org/10.1007/s10854-025-14688-0

Saha, S., Bandaru, N., Natarajan, S., Mukherjee, S., Roy, S. C. & Rath, J. K. (2025). Spectroscopic investigation of SnS quantum dots and the design of SnS QD- TiO₂ heterojunction. Physica Scripta, 100(6), Artikel 065979. https://doi.org/10.1088/1402-4896/add8f2

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