Mr Adnan Farooq Awan

PhD Student
School of Engineering and Information Technology
+61 2 6268 8639
+61 2 6268 8443
  • ABOUT

My Expertise

Remote sensing, Image processing, Pattern recognition, Machine learning.

Field of Research:

Remote Sensing, Image Processing, Human activity recognition.

Bibliography

Adnan Farooq received his BS(Computer Engineering) degree from COMSATS Institute of Information Technology, Abbottabad, Pakistan, in 2009. He completed his Master’s in Engineering from Kyung Hee University, Suwon, South Korea in 2014. Adnan, currently doing Ph.D. degree in Electrical Engineering from The University of New South Wales, Canberra, Australia.

Adnan’s research areas are image processing, human activity recognition, object recognition i.e. weed recognition using hyperspectral images. The projects he has been involved Deep learning based object detection, weed classification, and multi-resolution weed identification using transfer learning. He is the author or co-author of around 15 different publications on remote sensing image analysis, human activity recognition, and electrical impedance tomography including journal papers and peer reviewed conference proceedings. He is the current president of the UNSW-GRSS Canberra chapter. He is also reviewer of IEEE Transaction on Geoscience and Remote Sensing.

Hobbies

Cooking, Hiking, Reading current affairs and history.

Publications:

Farooq, A., Jia, X., Hu, J. and Zhou, J., 2019. Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images. Remote Sensing11(14), p.1692. https://doi.org/10.3390/rs11141692

Farooq, A., Hu, J. and Jia, X., 2018. Analysis of Spectral Bands and Spatial Resolutions for Weed Classification Via Deep Convolutional Neural Network. IEEE Geoscience and Remote Sensing Letters16(2), pp.183-187. https://doi.org/10.1109/LGRS.2018.2869879

Farooq, A., Hu, J. and Jia, X., 2018, July. Weed Classification in Hyperspectral Remote Sensing Images Via Deep Convolutional Neural Network. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium(pp. 3816-3819). IEEE. https://doi.org/10.1109/igarss.2018.8518541

Farooq, A., Farooq, F. and Le, A.V., 2018. Human Action Recognition via Depth Maps Body Parts of Action. TIIS12(5), pp.2327-2347. https://doi.org/10.3837/tiis.2018.05.023

Farooq, A., Hu, J. and Jia, X., 2017, July. Efficient object proposals extraction for target detection in VHR remote sensing images. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 3337-3340). IEEE. https://doi.org/10.1109/igarss.2017.8127712

Rahman, T., Hasan, M.M., Farooq, A. and Uddin, M.Z., 2015. Extraction of cardiac and respiration signals in electrical impedance tomography based on independent component analysis. Journal of Electrical Bioimpedance4(1), pp.38-44. https://doi.org/10.5617/jeb.553

Jalal, A., Kim, Y., Kamal, S., Farooq, A. and Kim, D., 2015, June. Human daily activity recognition with joints plus body features representation using Kinect sensor. In 2015 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 1-6). IEEE. https://doi.org/10.1109/iciev.2015.7334030

Jalal, A., Kamal, S., Farooq, A. and Kim, D., 2015, June. A spatiotemporal motion variation features extraction approach for human tracking and pose-based action recognition. In 2015 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 1-6). IEEE. https://doi.org/10.1109/iciev.2015.7334049

Farooq, A., Jalal, A. and Kamal, S., 2015. Dense RGB-D Map-Based Human Tracking and Activity Recognition using Skin Joints Features and Self-Organizing Map. KSII Transactions on Internet & Information Systems9(5). https://doi.org/10.3837/tiis.2015.05.017

Lee, E.J., Wi, H., McEwan, A.L., Farooq, A., Sohal, H., Woo, E.J., Seo, J.K. and Oh, T.I., 2014. Design of a microscopic electrical impedance tomography system for 3D continuous non-destructive monitoring of tissue culture. Biomedical engineering online13(1), p.142. https://doi.org/10.1186/1475-925x-13-142

Farooq, A., Tehrani, J.N., McEwan, A.L., Woo, E.J. and Oh, T.I., 2014. Improvements and artifact analysis in conductivity images using multiple internal electrodes. Physiological measurement35(6), p.1125. https://doi.org/10.1088/0967-3334/35/6/1125

Kwon, H., McEwan, A.L., Oh, T.I., Farooq, A., Woo, E.J. and Seo, J.K., 2013. A local region of interest imaging method for electrical impedance tomography with internal electrodes. Computational and mathematical methods in medicine2013.https://doi.org/10.1155/2013/964918

Mohamadou, Y., Oh, T.I., Wi, H., Sohal, H., Farooq, A., Woo, E.J. and McEwan, A.L., 2012. Performance evaluation of wideband bio-impedance spectroscopy using constant voltage source and constant current source. Measurement Science and Technology23(10), p.105703. https://doi.org/10.1088/0957-0233/23/10/105703