By Mo Hossny

Book Chapters

Talha M; Hussein A; Hossny M, 2024, 'LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning', in , pp. 203 - 214, http://dx.doi.org/10.1007/978-981-99-8388-9_17

Talha M; Hussein A; Hossny M, 2022, 'Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning', in , pp. 733 - 746, http://dx.doi.org/10.1007/978-3-031-22695-3_51

Hossny M; Nahavandi S; Crieghton D, 2008, 'Feature-based image fusion quality metrics', in , pp. 469 - 478, http://dx.doi.org/10.1007/978-3-540-88513-9_51

Journal articles

Hossny K; Hossny M; Cougnoux A; Mahmoud L; Villanueva W, 2024, 'Decision tree insights analytics (DTIA) tool: an analytic framework to identify insights from large data records across fields of science', Machine Learning: Science and Technology, 5, http://dx.doi.org/10.1088/2632-2153/ad7f23

Saleh K; Hossny M; Abobakr A; Attia M; Iskander J, 2023, 'VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 9435 - 9448, http://dx.doi.org/10.1109/TITS.2023.3271414

Yaxley K; Reid A; Kenworthy C; Hossny M; Baxter D; Spaulding T; Allworth BM; McGrath SR; Joiner K; Abbass H, 2022, 'Building a Sky Shepherd for the future of agriculture', Smart Agricultural Technology, 3, http://dx.doi.org/10.1016/j.atech.2022.100137

Iskander J; Hossny M, 2022, 'An ocular biomechanics environment for reinforcement learning', Journal of Biomechanics, 133, http://dx.doi.org/10.1016/j.jbiomech.2022.110943

Iskander J; Hossny M, 2021, 'Measuring the likelihood of VR visual fatigue through ocular biomechanics', Displays, 70, http://dx.doi.org/10.1016/j.displa.2021.102105

Hossny M; Iskander J; Attia M; Saleh K; Abobakr A, 2021, 'Refined Continuous Control of DDPG Actors via Parametrised Activation', AI (Switzerland), 2, pp. 464 - 476, http://dx.doi.org/10.3390/ai2040029

Saleh K; Abobakr A; Hossny M; Nahavandi D; Iskander J; Attia M; Nahavandi S, 2021, 'Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks', Neurocomputing, 465, pp. 205 - 214, http://dx.doi.org/10.1016/j.neucom.2021.09.008

Hossny K; Hossny AH; Magdi S; Soliman AY; Hossny M, 2020, 'Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks', Scientific Reports, 10, pp. 13467, http://dx.doi.org/10.1038/s41598-020-70537-6

Saleh K; Hossny M; Nahavandi S, 2020, 'Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users', IEEE Transactions on Intelligent Transportation Systems, 21, pp. 3398 - 3408, http://dx.doi.org/10.1109/TITS.2019.2927770

Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A, 2020, 'Realistic hair simulator for skin lesion images: A novel benchemarking tool', Artificial Intelligence in Medicine, 108, http://dx.doi.org/10.1016/j.artmed.2020.101933

Hossny M; Iskander J, 2020, 'Just Don’t Fall: An AI Agent’s Learning Journey Towards Posture Stabilisation', AI (Switzerland), 1, pp. 286 - 298, http://dx.doi.org/10.3390/ai1020019

Saleh K; Hossny M; Nahavandi S, 2020, 'Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments', Neurocomputing, 386, pp. 317 - 324, http://dx.doi.org/10.1016/j.neucom.2019.12.091

Hogarty DT; Su JC; Phan K; Attia M; Hossny M; Nahavandi S; Lenane P; Moloney FJ; Yazdabadi A, 2020, 'Artificial Intelligence in Dermatology—Where We Are and the Way to the Future: A Review', American Journal of Clinical Dermatology, 21, pp. 41 - 47, http://dx.doi.org/10.1007/s40257-019-00462-6

McCormick J; Hossny M; Fielding M; Mullins J; Vincent JB; Hossny M; Vincs K; Mohamed S; Nahavandi S; Creighton D; Hutchison S, 2020, 'Feels like dancing: Motion capture–driven haptic interface as an added sensory experience for dance viewing', Leonardo, 53, pp. 45 - 49, http://dx.doi.org/10.1162/leon_a_01689

Iskander J; Hossny M; Nahavandi S, 2019, 'Using biomechanics to investigate the effect of VR on eye vergence system', Applied Ergonomics, 81, http://dx.doi.org/10.1016/j.apergo.2019.102883

Abobakr A; Nahavandi D; Hossny M; Iskander J; Attia M; Nahavandi S; Smets M, 2019, 'RGB-D ergonomic assessment system of adopted working postures', Applied Ergonomics, 80, pp. 75 - 88, http://dx.doi.org/10.1016/j.apergo.2019.05.004

Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A, 2019, 'Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture', Computer Methods and Programs in Biomedicine, 177, pp. 17 - 30, http://dx.doi.org/10.1016/j.cmpb.2019.05.010

Iskander J; Attia M; Saleh K; Nahavandi D; Abobakr A; Mohamed S; Asadi H; Khosravi A; Lim CP; Hossny M, 2019, 'From car sickness to autonomous car sickness: A review', Transportation Research Part F: Traffic Psychology and Behaviour, 62, pp. 716 - 726, http://dx.doi.org/10.1016/j.trf.2019.02.020

Saleh K; Hossny M; Nahavandi S, 2018, 'Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks', IEEE Transactions on Intelligent Vehicles, 3, pp. 414 - 424, http://dx.doi.org/10.1109/TIV.2018.2873901

Attia M; Hossny M; Zhou H; Yazdabadi A; Asadi H; Nahavandi S, 2018, 'Realistic Hair Simulator for Skin lesion Images Using Conditional Generative Adversarial Network', , http://dx.doi.org/10.20944/preprints201810.0756.v1

Abobakr A; Hossny M; Nahavandi S, 2018, 'A skeleton-free fall detection system from depth images using random decision forest', IEEE Systems Journal, 12, pp. 2994 - 3005, http://dx.doi.org/10.1109/JSYST.2017.2780260

Saleh K; Hossny M; Nahavandi S, 2018, 'Effective vehicle-based kangaroo detection for collision warning systems using region-based convolutional networks', Sensors (Switzerland), 18, http://dx.doi.org/10.3390/s18061913

Iskander J; Hossny M; Nahavandi S; del Porto L, 2018, 'An ocular biomechanic model for dynamic simulation of different eye movements', Journal of Biomechanics, 71, pp. 208 - 216, http://dx.doi.org/10.1016/j.jbiomech.2018.02.006

Iskander J; Hossny M; Nahavandi S, 2018, 'A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality', IEEE Access, 6, pp. 19345 - 19361, http://dx.doi.org/10.1109/ACCESS.2018.2815663

Hossny M; Nahavandi S; Creighton D; Lim C; Bhatti A, 2017, 'Enhanced decision fusion of semantically segmented images via local majority saliency map', Electronics Letters, 53, pp. 1036 - 1038, http://dx.doi.org/10.1049/el.2016.4709

Nahavandi D; Hossny M, 2017, 'Skeleton-free RULA ergonomic assessment using Kinect sensors', Intelligent Decision Technologies, 11, pp. 275 - 284, http://dx.doi.org/10.3233/IDT-170292

Zhou H; Mian A; Wei L; Creighton D; Hossny M; Nahavandi S, 2014, 'Recent advances on singlemodal and multimodal face recognition: A survey', IEEE Transactions on Human-Machine Systems, 44, pp. 701 - 716, http://dx.doi.org/10.1109/THMS.2014.2340578

Hossny M; Nahavandi S; Creighton D; Bhatti A, 2010, 'Image fusion performance metric based on mutual information and entropy driven quadtree decomposition', Electronics Letters, 46, pp. 1266 - 1268, http://dx.doi.org/10.1049/el.2010.1778

Bhatti A; Nahavandi S; Hossny M, 2010, 'Haptics enabled of ine AFM image analysis', World Academy of Science, Engineering and Technology, 68, pp. 346 - 351

Bhatti A; Nahavandi S; Hossny M, 2009, 'Haptics enabled of ine AFM image analysis', World Academy of Science, Engineering and Technology, 37, pp. 646 - 651

Hossny M; Nahavandi S; Creighton D, 2008, 'Comments on 'Information measure for performance of image fusion'', Electronics Letters, 44, pp. 1066 - 1067, http://dx.doi.org/10.1049/el:20081754

Conference Papers

Hossny M; El-Badawy A; Hassan R, 2020, 'Fuzzy Model Predictive Control of a Quadrotor Unmanned Aerial Vehicle', in 2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020, pp. 1704 - 1713, http://dx.doi.org/10.1109/ICUAS48674.2020.9213902

Iskander J; Abobakr A; Attia M; Saleh K; Nahavandi D; Hossny M; Nahavandi S, 2019, 'A k-NN classification based VR user verification using eye movement and ocular biomechanics', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1844 - 1848, http://dx.doi.org/10.1109/SMC.2019.8914577

Saleh K; Abobakr A; Nahavandi D; Iskander J; Attia M; Hossny M; Nahavandi S, 2019, 'Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles', in 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, pp. 2020 - 2026, http://dx.doi.org/10.1109/ITSC.2019.8917291

Saleh K; Abobakr A; Attia M; Iskander J; Nahavandi D; Hossny M; Nahvandi S, 2019, 'Domain adaptation for vehicle detection from bird's eye view lidar point cloud data', in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pp. 3235 - 3242, http://dx.doi.org/10.1109/ICCVW.2019.00404

Iskander J; Attia M; Saleh K; Abobakr A; Nahavandi D; Hossny M; Nahavandi S, 2019, 'Exploring the effect of virtual depth on pupil diameter', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1849 - 1854, http://dx.doi.org/10.1109/SMC.2019.8913975

Attia M; Attia MH; Iskander J; Saleh K; Nahavandi D; Abobakr A; Hossny M; Nahavandi S, 2019, 'Fingerprint synthesis via latent space representation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1855 - 1861, http://dx.doi.org/10.1109/SMC.2019.8914499

Attia M; Abobakr A; Wei L; Saleh K; Iskander J; Zhou H; Nahavandi D; Hossny M; Nahavandi S, 2019, 'High frame rate photorealistic flame rendering via generative adversarial networks', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2391 - 2396, http://dx.doi.org/10.1109/SMC.2019.8914043

Abobakr A; Abdelkader H; Iskander J; Nahavandi D; Saleh K; Attia M; Hossny M; Nahavandi S, 2019, 'SSDPose: A single shot deep pose estimation and analysis', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1862 - 1868, http://dx.doi.org/10.1109/SMC.2019.8913964

Abobakr A; Hossny M; Nahavandi S, 2019, 'SSIMLayer: Towards robust deep representation learning via nonlinear structural similarity', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1234 - 1238, http://dx.doi.org/10.1109/SMC.2019.8914521

Saleh K; Hossny M; Nahavandi S, 2019, 'Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal dense net', in Proceedings - IEEE International Conference on Robotics and Automation, pp. 9704 - 9710, http://dx.doi.org/10.1109/ICRA.2019.8793991

Salaken SM; Nahavandi S; McGinn C; Hossny M; Kelly K; Abobakr A; Nahavandi D; Iskander J, 2019, 'Development of a cloud-based computational framework for an empathetic robot', in ACM International Conference Proceeding Series, pp. 102 - 108, http://dx.doi.org/10.1145/3313991.3314018

Saleh K; Hossny M; Nahavandi S, 2019, 'Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615854

Abobakr A; Hossny M; Abdelkader H; Nahavandi S, 2019, 'RGB-D Fall Detection via Deep Residual Convolutional LSTM Networks', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615759

Nahavandi D; Abobakr A; Iskander J; Hossny M, 2018, 'A Pilot Study on Footprint Posture Classification of Passengers in Light Rail Public Transport via Deep Convolutional Neural Networks', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 2724 - 2728, http://dx.doi.org/10.1109/ITSC.2018.8569589

Attia M; Hettiarachchi I; Mohamed S; Hossny M; Nahavandi S, 2018, 'A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 2134 - 2139, http://dx.doi.org/10.1109/SMC.2018.00367

Nahavandi D; Abobakr A; Haggag H; Hossny M, 2018, 'A Low Cost Anthropometric Body Scanning System Using Depth Cameras', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 3486 - 3491, http://dx.doi.org/10.1109/SMC.2018.00590

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