Responsibilities include:

• Design cognitive vision systems for Activity Recognition.
• Study long-term spatio-temporal activities performed by agents such as human beings, animals or vehicles in the physical world.

Responsibilities include:

• Research in perception and scene analysis and understanding of robot manipulation.
• Study state of the art for 6D pose estimation problem: https://mahmoud-ali-fcis.github.io/6D-Object-Pose-Estimation/
• In-depth study of current benchmark datasets for pose estimation to Generate a new large-scale dataset for fruits using software developed in the team: https://mahmoud-ali-fcis.github.io/6D-Pose-Estimation-Datasets/Datasets_statistical/.
• Testing recent methods as a baseline like FFB6D, FS-Net, G2L-Net, Densefusion, and PVNet on LINEMOD, YCB-V dataset and new dataset.

Responsibilities include:

• FA4.0 (Failure Analysis 4.0) develop a complete pipeline for failure diagnostic of electronic devices.
• Generate dataset of synthetic A scanning electron microscope (SEM) images.
• Comparison of the quality of the simulation methods (Monte-Carlo method and Deep Learning based methods).
• Denoising the scanning electron microscopy images using different filters (NLM, Bilateral, Total variation (TV), BM3D).
• Project video: https://drive.google.com/file/d/18PFYFkVipsYe8PayDIvoO_p-rS4A-o6m/viewAnalysing

Responsibilities include:

• Study Automated General Movements Assessment by Clustering Motion Words from Infants Motion Sequences.
• Develop system to detect Cerebral Palsy problem earlier in the infant in age 3 -5 months.
• Presentation: https://docs.google.com/presentation/d/19IoEPLEGcwnHSwsggvjPOdbwHHx-o-xr1gSOb-wvrA0/edit?usp=sharing

Courses include:

• Computer vision
• Machine learning
• Autonomous robotics
• Computer graphics

Courses include:

• Image processing
• Medical image analysis
• Visual perception

Responsibilities include:

• Identify the Egyptian national id and driver license from images.
• Using Arabic OCR to recognize the text in it.
• Useing face recognition to recognize the person holding the ID.

• FERAD: Facial expression recognition in Alzheimer’s disease.
• The objective of this project is to promote the maintenance of verbal communication with Alzheimer’s patients at an advanced stage of the disease.
• Project video: https://drive.google.com/file/d/1eMhbisjcfbSGeNhJTtzxOqrneFsEYDWH/view?usp=sharing

• Robonomics: developing an innovative solution in nursing homes with a system capable of performing a semantic similarity analysis on texts and images by beam robot.
• Project video: https://drive.google.com/file/d/1eMhbisjcfbSGeNhJTtzxOqrneFsEYDWH/view?usp=sharing

• CardioVascular AI MRI Challenge
• Segment the heart from MRI image.
• Automatic determination of cardiac MRI cutting plans.

• ScanCovid-IA in medical imaging
• Classify the Chest x-ray which have COVID-19 and segment the position of the disease in the lung through Chest x-ray.

• Verified and anti-spoofing Project
• Passive check: by investigating the surroundings of the image, we can try detecting if there was a digital device or photo paper in the scanned area.
• Active Check: user interaction: by asking the user to perform an action (turning head left/right, move mouth, blinking eyes) the machine can detect if the action has been performed in a natural way which resembles human interaction.

• Kinect-Based Map Building for Robot Navigation
• Putting the robot in unknown location ,building a consistent map of the indoor environment by guiding the robot to move and incrementally builds the map, led by Dr. Mohamed Marey.
• Project video: https://www.youtube.com/watch?v=EarvxhsyT4E