Publications by Electronics & Photonics

Are you looking for publications by Section of Electronics & Photonics? On this page you can find all the publications made by the Section of Electronics & Photonics - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Moradi, F., Panagopoulos, G., Karakonstantis, G., Farkhani, H., Wisland, D. T., Madsen, J. K., Mahmoodi, H. & Roy, K. (2014). Multi-level wordline driver for robust SRAM design in nano-scale CMOS technology. Microelectronics Journal, 45(1), 23-34. https://doi.org/10.1016/j.mejo.2013.09.009

Moradi, F., Wisland, D., Panagopoulos, G., Roy, K., Karakonstantis, G., Mahmoodi, H. & Madsen, J. K. (2011). Multi-level wordline driver for low power SRAMs in nano-scale CMOS technology. I Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors (s. 326-331) https://doi.org/10.1109/ICCD.2011.6081419

Zeinali, B., Esmaeili, M., Madsen, J. K. & Moradi, F. (2017). Multilevel SOT-MRAM Cell with a Novel Sensing Scheme for High-Density Memory Applications. I 2017 47th European Solid-State Device Research Conference, ESSDERC 2017: ESSDERC 2017 (s. 172-175). Artikel 8066619 IEEE. https://doi.org/10.1109/ESSDERC.2017.8066619

Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Derakhshandeh, S. Y. & Khooban, M. H. (2023). Multi-Criteria Design of Electric Transit Bus Based on Wireless Charging Infrastructure: A Case Study of Real Road Map in Wakefield. Automation , 4(3), 291-308. https://doi.org/10.3390/automation4030017

Lehmann, A. (2017). Modelling Emission of Pollutants from transportation using mobile sensing data: Advancing modelling of street level pollution and climate forcing gas emissions. Aarhus Universitet.

Shreya, S. & Kaushik, B. K. (2019). Modeling of Voltage-Controlled Spin–Orbit Torque MRAM for Multilevel Switching Application. IEEE Transactions on Electron Devices, 67(1), 90. Artikel 19312204. https://doi.org/10.1109/TED.2019.2951684

Rohde, J. & Toftegaard, T. S. (2011). Mitigating the impact of high interference levels on energy consumption in wireless sensor networks. I 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2011 https://doi.org/10.1109/WIRELESSVITAE.2011.5940899

Madsen, M. L., Ulsig, E. Z., Folsach, S., Godoy, P. H., Stanton, E. J. & Volet, N. (2023). Mid-infrared difference-frequency generation in AlGaAs-on-insulator waveguides. Journal of the Optical Society of America B: Optical Physics, 40(7), 1742-1748. https://doi.org/10.1364/JOSAB.488065

Oshnoei, S., Fathollahidehkordi, A., Oshnoei, A. & Khooban, M. H. (2023). Microgrid Frequency Regulation Based on a Fractional Order Cascade Controller. Fractal and Fractional, 7(4), Artikel 343. https://doi.org/10.3390/fractalfract7040343

Tofte, A., Shreya, S., Ghanatian Najafabadi, H., Böhnert, T., Ferreira, R., Farkhani, H. & Moradi, F. (2022). Memory and Communication Logic (MCL) in Magnetic Tunnel Junctions. Poster-session præsenteret på Trends in MAGnetism-PetaSpin Conference, Italien.

Shreya, S., Zamani, M., Rezaeiyan, Y., Ghanatian Najafabadi, H., Böhnert, T., Jenkins, A., Ferreira, R., Farkhani, H. & Moradi, F. (2022). Memory and Communication-in-Logic Using Vortex and Precessional Oscillations in a Magnetic Tunnel Junction. IEEE Magnetics Letters, 13, Artikel 4505605. https://doi.org/10.1109/LMAG.2022.3224676

Merhi, Y., Mikkelsen, P. H., Suetta, C., Nygaard, J. V. & Agarwala, S. (2020). Mechanical performance of electronically functional smart textiles. I T. M. Buzug & H. Seitz (red.), Transactions on additive manufacturing meets medicine Infinite Science. https://doi.org/10.18416/AMMM.2020.2009012

Oberbauer, F., Winkel, T. J., Böhnert, T., Wanjura, C. C., Claro, M. S., Benetti, L., Çaha, I., Deepak, F. L., Moradi, F., Ferreira, R., Münzenberg, M. & Parvini, T. S. (2025). Magnetic tunnel junctions driven by hybrid optical-electrical signals as a flexible neuromorphic computing platform. Communications Physics, 8(1), Artikel 329. https://doi.org/10.1038/s42005-025-02257-0

Fathollahi, A. (2025). Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review. Energies, 18(13), Artikel 3431. https://doi.org/10.3390/en18133431

Moradi, F. & Tohidi, M. (2015). Low-Voltage 9T FinFETSRAM Cell for Low-Power Applications. I Proceedings of the 28th IEEE International System on Chip Conference (SOCC) (s. 149-153). IEEE. https://doi.org/10.1109/SOCC.2015.7406929

M. Plakhotnyuk, M., Gaudig, M., Davidsen, R. S., Lindhard, J. M., Hirsch, J., Lausch, D., Stenbæk Schmidt, M., Stamate, E. & Hansen, O. (2017). Low surface damage dry etched black silicon. Journal of Applied Physics, 122(14), Artikel 143101. https://doi.org/10.1063/1.4993425

Shreya, S. (2019). Low Restoration-Energy Differential Spin Hall Effect MRAM for High-Speed Nonvolatile SRAM Application. Abstract fra 20th International Symposium on Quality Electronic Design (, California, USA. https://doi.org/10.1109/ISQED.2019.8697426

Rohde, J. (2013). Low-power tri-band receiver front-end for wireless home automation applications. Aarhus University, Department of Engineering.

Shreya, S., Rezaeiyan, Y., Sadeghi, M., Kaushik, B. K. & Moradi, F. (2023). Low-Power Pattern Recognition System Using Spintronics Compute-in-memory Architecture. I 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (s. 730-734). IEEE. https://doi.org/10.1109/NMDC57951.2023.10344005

Tohidi, M., Madsen, J. K. & Moradi, F. (2018). Low-Power, Low-Noise Epileptic-Seizure Detection System with High Accuracy Using EEG Signals. Poster-session præsenteret på Biomedical Circuits and Systems Conference, Cleveland, USA. https://www.epapers.org/biocas2018/ESR/paper_details.php?PHPSESSID=ok076vdjtkiu7kett65d8hk0g0&paper_id=6066

Ronchini, M. (2023). Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Tohidi, M., Kargaard Madsen, J. & Moradi, F. (2019). Low-Power High-Input-Impedance EEG Signal Acquisition SoC with Fully Integrated IA and Signal-Specific ADC for Wearable Applications. IEEE Transactions on Biomedical Circuits and Systems, 13(6), 1437-1450. Artikel 2936534. https://doi.org/10.1109/TBCAS.2019.2936534

Lundager, K., Zeinali, B., Tohidi, M., Madsen, J. K. & Moradi, F. (2016). Low Power Design for Future Wearable and Implantable Devices. Journal of Low Power Electronics and Applications, 6(4), Artikel 20. https://doi.org/10.3390/jlpea6040020

Tohidi, M., Madsen, J. K., Heck, M. & Moradi, F. (2017). Low-Power Comparator in 65-nm CMOS with Reduced Delay Time. I 2016 IEEE International Conference on Electronics, Circuits and Systems, ICECS 2016: ICECS 2016 (s. 736-739). Artikel 7841307 IEEE Press. https://doi.org/10.1109/ICECS.2016.7841307

Cao, T.-V., Wisland, D. T., Lande, T. S. & Moradi, F. (2012). Low phase-noise VCO utilizing modified symmetric load and partial positive feedback for FDSM. Analog Integrated Circuits and Signal Processing, 73(1), 151-160. https://doi.org/10.1007/s10470-011-9803-6

Zeinali, B., Madsen, J. K., Raghavan, P. & Moradi, F. (2017). Low-leakage sub-threshold 9T-SRAM cell in 14-nm FinFET technology. International Journal of Circuit Theory and Applications, 45(11), 1647-1659. https://doi.org/10.1002/cta.2280

Farkhani, H., Peiravi, A. & Moradi, F. (2016). Low-Energy Write Operation for 1T-1MTJ STT-RAM Bitcells With Negative Bitline Technique. I E E E Transactions on Very Large Scale Integration (VLSI) Systems, 24(4), 1593-1597. Artikel 7208896. https://doi.org/10.1109/TVLSI.2015.2459726

Jakobsen, M. O. (2024). Low cost MEMS accelerometer and microphone based condition monitoring sensor, with LoRa and Bluetooth Low Energy radio. HardwareX, 18, Artikel e00525. https://doi.org/10.1016/j.ohx.2024.e00525

Knudsen, M. B., Kæseler, S. A. & Rohde, J. (2019). LoRaWAN End-Device Antenna Performance. I CEMi 2018 - International Workshop on Computing, Electromagnetics, and Machine Intelligence (s. 77-78). Artikel 8610536 IEEE. https://doi.org/10.1109/CEMI.2018.8610536

Glavind, L., Canning, J., Gao, S., Cook, K., Peng, G.-D., Luo, Y., Skipper, B. F. & Kristensen, M. (2014). Long-period gratings in special geometry fibers for high-resolution and selective sensors. Optical Engineering, 53(6), 066109. https://doi.org/10.1117/1.OE.53.6.066109

Glavind, L., Buggy, S., Canning, J., Gao, S., Cook, K., Luo, Y., Peng, G. D., Skipper, B. F. & Kristensen, M. (2014). Long-period gratings for selective monitoring of loads on a wind turbine blade. Applied Optics, 53(18), 3993-4001. https://doi.org/10.1364/AO.53.003993

Farkhani, H., Prejbeanu, I. L. & Moradi, F. (2019). LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System. IEEE Transactions on Circuits and Systems II: Express Briefs, 66(5), 838-842. Artikel 8675974. https://doi.org/10.1109/TCSII.2019.2908077

Pizzuto, A., Mittleman, D. M. & Klarskov, P. (2020). Laser THz emission nanoscopy and THz nanoscopy. Optics Express, 28(13), 18778-18789. Artikel #382130. https://doi.org/10.1364/OE.382130

Pizzuto, A., Klarskov, P. & Mittleman, D. M. (2018). Laser Terahertz Emission Nanoscopy. I 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018 Artikel Tu3C.2 https://doi.org/10.1364/cleopr.2018.tu3c.2

Klarskov, P. & Mittleman, D. M. (2016). Laser terahertz emission microscopy with near-field probes. I 41st International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2016 Artikel 7758721 https://doi.org/10.1109/irmmw-thz.2016.7758721

Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. I 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

Farkhani, H., Böhnert, T., Tarequzzaman, M., Costa, J. D., Jenkins, A., Ferreira, R., Madsen, J. K. & Moradi, F. (2020). LAO-NCS: Laser Assisted Spin Torque Nano Oscillator-Based Neuromorphic Computing System. Frontiers in Neuroscience, 13, Artikel 1429. https://doi.org/10.3389/fnins.2019.01429

Kavanagh, S. R., Nielsen, R. S., Hansen, J. L., Davidsen, R. S., Hansen, O., Samli, A. E., Vesborg, P. C. K., Scanlon, D. O. & Walsh, A. (2025). Intrinsic point defect tolerance in selenium for indoor and tandem photovoltaics. Energy and Environmental Science, 18(9), 4431-4446. https://doi.org/10.1039/d4ee04647a

Fares, H., Ronchini, M., Zamani, M., Farkhani, H. & Moradi, F. (2022). In the realm of hybrid Brain: Human Brain and AI. ArXiv. https://doi.org/10.48550/arXiv.2210.01461

Riedel-Lyngskær, N., Santamaría Lancia, A. A., Plag, F., Kröger, I., Vogt, M. R., Schinke, C., Davidsen, R. S., Amdemeskel, M., Jansen, M. J., Manshanden, P., Slooff, L. H., Carr, A. J., Bliss, M., Betts, T., Mayo, M. E., Jauregui, I. P., Balenzategui, J. L., Roldan, R., Bellenda, G. ... dos Reis Benatto, G. A. (2021). Interlaboratory comparison of angular-dependent photovoltaic device measurements: Results and impact on energy rating. Progress in Photovoltaics, 29(3), 315-333. https://doi.org/10.1002/pip.3365

Fathollahi, A. (2024). Intelligent Control Framework for Improving Energy System Stability Through Deep Learning-Based Modal Optimization Scheme. Sustainability (Switzerland), 16(21), Artikel 9392. https://doi.org/10.3390/su16219392

Sobolewska, E. K., Pelloux-Prayer, J., Becker, H., Li, G., Davies, C. S., Krückel, C. J., Avilés Félix, L., Olivier, A., Sousa, R. C., Prejbeanu, I. L., Kiriliouk, A. I., Van Thourhout, D., Rasing, T., Moradi, F. & Heck, M. J. R. (2020). Integration platform for optical switching of magnetic elements. I G. S. Subramania & S. Foteinopoulou (red.), Active Photonic Platforms XII Artikel 114612B SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2567662

Akbari, M., Hashemipour, O. & Moradi, F. (2018). Input Offset Estimation of CMOS Integrated Circuits in Weak Inversion. I E E E Transactions on Very Large Scale Integration (VLSI) Systems, 26(9), 1812-1816. Artikel 8362694. https://doi.org/10.1109/TVLSI.2018.2830749

Amariei, G., Lahn Henriksen, M., Klarskov, P. & Hinge, M. (2023). In-line quantitative estimation of ammonium polyphosphate flame retardant in polyolefins via industrial hyperspectral imaging system and machine learning. Waste Management, 170, 1-7. https://doi.org/10.1016/j.wasman.2023.07.026

Amariei, G., Henriksen, M. L., Friis, J. B., Pedersen, P. K. & Hinge, M. (2023). In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning. Marine Pollution Bulletin, 191, Artikel 114910. https://doi.org/10.1016/j.marpolbul.2023.114910

Abdolmaleki, H., Haugen, A. B., Merhi, Y., Nygaard, J. V. & Agarwala, S. (2023). Inkjet-printed flexible piezoelectric sensor for self-powered biomedical monitoring. Materials Today Electronics, 5, Artikel 100056. https://doi.org/10.1016/j.mtelec.2023.100056

Moradi, F. & Madsen, J. K. (2014). Improved read and write margins using a novel 8T-SRAM cell. I L. Garcia (red.), 2014 22nd International Conference on Very Large Scale Integration (VLSI-SoC): Conference Proceedings (s. 1-5). IEEE. https://doi.org/10.1109/VLSI-SoC.2014.7004186

Klarskov, P., Kim, H., Colvin, V. L. & Mittleman, D. M. (2017). Imaging single nanoparticles using laser terahertz emission nanoscopy. I 2017 42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017 Artikel 8067202 https://doi.org/10.1109/irmmw-thz.2017.8067202

Klarskov, P., Pizzuto, A. & Mittleman, D. M. (2018). Imaging on the Nanoscale with THz Time-Domain, Emission and Pump-Probe Microscopy. I 2018 43rd International Conference on Infrared Millimeter and Terahertz Waves, IRMMW-THz 2018 Artikel 8509949 https://doi.org/10.1109/irmmw-thz.2018.8509949

Klarskov, P., Pizzuto, A. & Mittleman, D. M. (2018). Imaging on the Nanoscale with THz Time-Domain, Emission and Pump-Probe Microscopy: 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz). 1-2. https://doi.org/10.1109/IRMMW-THz.2018.8509949

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Revideret 13.11.2025

AU Engineering