Esmael Hamuda

Esmael Hamuda, Ph.D.

Machine Learning and Data Scientist
PhD, Electrical and Electronic Engineering, National University of Ireland Galway (NUI Galway)
ME, Electrical, Electronics, and Telecommunication Engineering, University Technology Malaysia (UTM)

Esmael joins ICHEC as a Machine Learning Data Scientist to work with academic researchers, Irish start-ups and SMEs as a part of the EuroHPC National Competence Centre (EuroCC).

His areas of expertise are in Image Processing & Computer Vision, Machine Learning, and Artificial Intelligence. He has hands-on experience in several Computer Vision techniques, including Object Detection, Object Tracking, Image Classification, Semantic Segmentation, Instance Segmentation, and Human Pose Estimation. Moreover, he is interested in the Internet of Things (IoT) technologies.

He received the PhD degree in Electrical and Electronic Engineering from the National University of Ireland Galway (NUI Galway) in 2019. His PhD research topic was on Signal and Image Processing Technology for Smart Agriculture Applications. He received the ME degree in Electrical, Electronics, and Telecommunication Engineering from University Technology Malaysia (UTM) in 2006. His ME research topic was on Automatic Coronary Artery Detection in Echocardiogram Images. In 2002, he obtained the BE degree in Electrical and Computer Engineering from the Elmergib University, Libya.

From January 2008 to December 2013, he served as a Lecturer Assistant in Electrical and Computer Engineering at the Elmergib University. He also held the head of the Electrical and Computer Engineering Department (2012-2013). While he was pursuing his PhD at the NUI Galway, he worked as a lab supervisor/ instructor in the Electrical & Electronic lab at the undergraduate level ( 2014-2017) and a Lecturer Assistant of Advanced Image Processing at the postgraduate level ( 2018-2019). From June 2019 to December 2020, he served as Postdoctoral Research Fellow in ADAPT Centre at the Trinity College Dublin(TCD). While there, he worked on several Computer Vision and Machine Learning projects, including Building Change Detection in Aerial Images, 3D Humane Pose Estimation, and Image/video stitching techniques.

Hamuda, E., Glavin, M., & Jones, E. (2016). A survey of image processing techniques for plant extraction and segmentation in the field. Computers and Electronics in Agriculture, 125. https://doi.org/10.1016/j.compag.2016.04.024.

Hamuda, E., Mc Ginley, B., Glavin, M., & Jones, E. (2017). Automatic crop detection under field conditions using the HSV colour space and morphological operations. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2016.11.021.

Hamuda, E., Ginley, B. M., Glavin, M., & Jones, E. (2018). Improved image processing-based crop detection using Kalman filtering and the Hungarian algorithm. Computers and Electronics in Agriculture, 148(March), 37–44. https://doi.org/10.1016/j.compag.2018.02.027.

Hamuda, E. A. R., & Bakar, S. A. R. A. (2007). Automatic coronary artery detection in echocardiogram image. In ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications (pp. 584-587). [4728386] DOI: 10.1109/ICSPC.2007.4728386.

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