• United Kingdom

Accepting PhD Students

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Computer Vision

Personal profile

Personal Statement

Known as "Dr Mohamed Elsayed Elawady", "Dr Mohamed Soliman".

Dr Mohamed Elawady is a teaching fellow in the department of computer and information sciences at the University of Strathclyde. He received his joint Master of Science degree in computer vision and robotics from the following universities under the EU Erasmus Mundus programme: Heriot-Watt University (UK), Burgundy University (France), Girona University (Spain), and his PhD in computer vision from Lyon University (France).


Before joining Strathclyde, he worked as a lecturer in data science at the University of Stirling, and a computer vision researcher in the industry, as part of a Parisian start-up (later acquired by a +2B unicorn company), managing successful proof-of-concept projects using deep learning approaches with European technology partners (Pricer, Metralabs) and worldwide retail clients (Carrefour, MediaMarktSaturn Retail Group).

His research expertise involves image analysis, robotics vision, information retrieval and medical imaging. He has published highly cited papers in top computer vision conferences (i.e., ICCV, ACVIS, CAIP, VCIP) on the topics of symmetry detection, breast ultrasound segmentation and learning-based compression using the methods of feature extraction (conventional using wavelets & deep using CNNs), data clustering (linear-directional density estimation) and data classification (SVM). Dr Mohamed was a Co-I on an industrial project for food waste management using computer vision algorithms funded by the UK Industry scheme (Falcon Foodservice Equipment). He serves as a reviewer for several journals and conferences in the computer vision field. His main research findings have shown strong knowledge of image analysis through winning a worldwide ICCV’17 competition in symmetry detection.


Dr Elawady is actively looking for excellent candidates interested in PhD, internship, MSc and Honors projects. Reach me for further project details. Inside primary supervisor section of PGR applications, my name is listed as "Dr Mohamed Soliman".

[Personal Webpage] [Google Scholar]

Academic / Professional qualifications

PhD in Computer Vision, Lyon University (France)

 

Research Interests

  • Robotics vision
  • Medical imaging
  • Image processing and analysis

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 14 - Life Below Water

Education/Academic qualification

Doctor of Philosophy, Reflection Symmetry Detection in Images: Application to Photography Analysis, Université de Lyon

Award Date: 29 Mar 2019

Master in Science, Sparse Coral Classification Using Deep Convolutional Neural Networks, Heriot-Watt University

Award Date: 1 Sept 2014

Keywords

  • Image Processing
  • Computer Vision
  • Artificial Intelligence
  • Robotics

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Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Security and forensics exploration of learning-based image coding

    Bhowmik, D., Elawady, M. & Nogueira, K., 19 Jan 2022, 2021 International Conference on Visual Communications and Image Processing (VCIP). Piscataway, NJ: IEEE, p. 1-5 5 p. 9675445. (IEEE International Conference on Visual Communications and Image Processing (VCIP)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

    Open Access
    File
    1 Citation (Scopus)
    23 Downloads (Pure)
  • Editorial image retrieval using handcrafted and CNN features

    Companioni-Brito, C., Elawady, M., Yildirim, S. & Hardeberg, J. Y., 30 Jun 2018, Image and Signal Processing: 8th International Conference, ICISP 2018, Proceedings. Mansouri, A., El Moataz, A., Nouboud, F. & Mammass, D. (eds.). Cham, Switzerland: Springer, p. 284-291 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10884 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

    1 Citation (Scopus)