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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Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patent No. 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. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 (pp. 3384-3391). IEEE. https://doi.org/10.1109/IROS47612.2022.9981658

Shi, L. (2022). Motion Planning for Autonomous Aerial Robots. [PhD thesis, Aarhus University]. 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), Article 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. In 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (pp. 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), Article 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), Article 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. In J. Nurmi, J. Rodrigues, L. Pezzarossa, V. Aberg & B. Behmanesh (Eds.), 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. In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2156-2161). Article 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. In 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings (pp. 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, Article 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. In Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015 (pp. 609-613). Article 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. [PhD thesis, Aarhus University]. 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. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 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), Article 026045. https://doi.org/10.1088/1741-2552/ad3b6b

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

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. In 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings (pp. 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), Article 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. In 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. Paper presented at 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, Georgia, United States. 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. Paper presented at 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, United States. https://doi.org/10.1109/IROS55552.2023.10341937

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

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. In 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. In 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (pp. 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. [PhD thesis, Aarhus University]. 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), Article 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. 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

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. In D. Saelens, J. Laverge, W. Boydens & L. Helsen (Eds.), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (pp. 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. In Proceedings of 14th Modelica Conference 2021 (pp. 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, Article 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∗. In Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems Article 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. Article 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, Article 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), Article 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. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 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), Article 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), Article 065979. https://doi.org/10.1088/1402-4896/add8f2

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