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Sadaf Farkhani



+45 5022 4266



Research Interests

I have been working on medical and agricultural tasks within computer vision. My main research interest is in implementing Machine Learning and Deep Learning algorithms, especially explainable networks (Transformer), for classification and regression

Curriculum Vitae



PhD in Electrical and Computer Engineering, Aarhus University


MSc in Telecommunication Engineering, Azad University of Najafabad


BSc in Electrical Engineering, Azad University of Najafabad


2022 - Present

Postdoc at DRCMR

2019 - 2021

PhD student at Aarhus University

2018 - 2019

Research Assistant, Aarhus University

Full CV


S. Farkhani, S. Skovsen, M. Dyrmann, R. N. Jørgenesen, H. Karstoft. "Weed Classification Using Explainable Multi-Resolution Slot Attention", Published at Sensor and Robotics in Digital Agriculture in Sensors’ special issue. 2021.

S. Farkhani, S. Skovsen, A. K. Mortensen, M. S. Laursen, R. N. Jorgensen, H. Karstoft. "Initial evaluation of enriching satellite imagery using sparse proximal sensing in precision farming", SPIE. Remote Sensing. 2020

S. Farkhani, M. F. Kragh, P. H. Christiansen, RN Jørgensen, H Karstoft. "Sparse-to-Dense Depth Completion in Precision Farming", Proceedings of the 3rd International Conference on Vision, Image and Signal Processing. 2019.

S Skovsen, MS Laursen, R Gislum, J Eriksen, M Dyrmann, AK Mortensen, S Farkhani, H Karstoft, NP Jensen, RN Jørgensen. “Species distribution mapping of grass clover leys using images for targeted nitrogen fertilization,” Precision Agriculture’19. 2019.

S. Skovsen, M. Dyrmann, A. K. Mortensen, M. S. Laursen, R. Gislum, J. Eriksen, S. Farkhani, H. Karstoft, R. N. Jorgensen. "The grassclover image dataset for semantic and hierarchical species understanding in agriculture", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019.

S. Farkhani, H. Pourghassem. "Sparse-Based Medical Image Fusion Using a Novel Optimal Dictionary Strategy and Shearlet Transform", Iranian Conf. on Elec. Eng. (ICEE), pp. 1435-1440, 2018.

Hooman Farkhani, Mohammad Tohidi, Sadaf Farkhani, Jens Kargaard Madsen, Farshad Moradi. “A low-power high-speed spintronics-based neuromorphic computing system using real-time tracking method,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2018.

Hooman Farkhani, Mohammad Tohidi, Sadaf Farkhani, Jens Kargaard Madsen, Farshad Moradi. “An energy efficient neuromorphic computing system using real time sensing method,” IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017.