STAFF PROFILE
Dr Haytham Fayek
Position:
Senior Lecturer
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399250858
Email:
haytham.fayek@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Dr Haytham Fayek is an artificial intelligence and machine learning expert. His research interests are broadly in artificial intelligence, machine learning, machine reasoning, deep learning, continual learning, and machine perception.
Availability by appointment.
- 2019 – Doctor of Philosophy (Ph.D., Electrical and Computer Engineering), RMIT University, Melbourne, Australia.
- 2014 – Master of Science (M.Eng., Electrical and Electronics Engineering), Petronas University of Technology, Malaysia.
- 2012 – Bachelor of Engineering (B.E., Electrical and Electronics Engineering), Petronas University of Technology, Malaysia.
2018-2019 Postdoctoral Research Scientist, Facebook, WA, USA.
For more information, visit:
Homepage: https://haythamfayek.com
- Thangavel, K.,Spiller, D.,Sabatini, R.,Amici, S.,Longepe, N.,Servidia, P.,Marzocca, P.,Fayek, H.,Ansalone, L. (2023). Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors In: Sensors, 23, 1 - 19
- Thangavel, K.,Servidia, P.,Sabatini, R.,Marzocca, P.,Fayek, H.,Cerruti, S.,Espana, M.,Spiller, D. (2023). A Distributed Satellite System for Multibaseline AT-InSAR: Constellation of Formations for Maritime Domain Awareness Using Autonomous Orbit Control In: Aerospace, 10, 1 - 19
- Thangavel, K.,Spiller, D.,Sabatini, R.,Amici, S.,Sasidharan, S.,Abokela, H.,Marzocca, P. (2023). Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire In: Remote Sensing, 15, 1 - 21
- Peng, Y.,Song, A.,Ciesielski, V.,Abokela, H.,Chang, X. (2023). PRE-NAS: Evolutionary Neural Architecture Search With Predictor In: IEEE Transactions on Evolutionary Computation, 27, 26 - 36
- Pretty, E.,Fayek, H.,Zambetta, F. (2023). In press - A Case for Personalized Non-Player Character Companion Design In: International Journal of Human-Computer Interaction, , 1 - 20
- Ao, S.,Fayek, H. (2023). Continual Deep Learning for Time Series Modeling In: Sensors, 23, 1 - 32
- Candon, M.,Fayek, H.,Koschel, S.,Levinski, O.,Marzocca, P. (2022). Recent Developments in the Implementation of a Bidirectional LSTM Deep Neural Network for Aircraft Operational Loads Monitoring In: Proceedings of the AIAA Scitech 2022 Forum, San Diego, California, United States, 3-7 January 2022
- Koschel, S.,Candon, M.,Fayek, H.,Marzocca, P.,Levinski, O. (2022). Data-Driven Flight Load Prediction using Modal Decomposition Techniques In: Proceedings of the AIAA Scitech 2022 Forum, San Diego, California, United States, 3-7 January 2022
- Hendy, N.,Abokela, H.,Hourani, A. (2022). Deep Learning Approaches for Air-writing Using Single UWB Radar In: IEEE Sensors Journal, 22, 11989 - 12001
- Peng, Y.,Song, A.,Ciesielski, V.,Abokela, H.,Chang, X. (2022). PRE-NAS: predictor-assisted evolutionary neural architecture search In: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, Boston, United States of America, 09/07/2022 -13/07/2022