Mohammad Kamel Email & Phone Number

Milan, IT

Milan, Lombardy, Italy

As an R&D Computer Vision Engineer, I designed systems to enable robots and automated systems to perceive and interpret visual information from their environment. I was involved in designing quality assessment/inspection systems mainly in the food industry.As part of my work, I designed a quality assessment system responsible for measuring the diameter.

Rome, Latium, Italy

• As a computer science researcher in the Department of computer science, I was involved in the following research projects:
• Implementation of a quaternion depth-wise separable convolution using a U-Net network for image segmentation in medical data (Python - PyTorch).
• Introduction of an interactive synthetic agent in the finance market with Generative adversarial network models (Python - Keras).
• Proposing smile pattern as a new biometric trait with 65 % accuracy for people identification tasks using optical flow and probabilistic classifiers (Python, OpenCV).

Rome, Latium, Italy

As a part of Pi school, in collaboration with other researchers in the field of deep learning, we tried to develop a facial landmark generation model from textual data to automate animation creation, aiding a pioneer Italian animation company in streamlining the animation generation process. The outcome leads to a prototype approach that can significantly.

Iran

As a computer science researcher, I was in charge of collaborating with a team of 2 interns to develop an emotional analysis system to track employees’ daily feelings using OpenCV and Dlib libraries (Python). I have also participated in a project to apply predictive models to develop a scalable deep fake audio detection system with 82 % accuracy using CNN.

Developed a health management orthopedic assistant system to detect hand and wrist injuries in CT scan images using image registration techniques to assist the orthopedic doctor to facilitate the detection of possible injuries in patients (MATLAB, C#).

Master'S Degree, Computer Science, 110/110 Cum Laude

Bachelor Of Science - Bs, Computer Hardware Engineering