Mohamad Saada

Mohamad Saada serves as a Lecturer in the Department of Computer Science at Loughborough University's School of Science, where he contributes to academic programs through teaching, research, and enterprise activities in artificial intelligence and robotics.

His educational qualifications include:

• Ph.D. in Computer Science from Loughborough University (Thesis: "A Probabilistic Framework using Dynamic Bayesian Networks for Human Activity Recognition and Tracking")
• M.Sc. in Internet Computing and Network Security from Loughborough University (Thesis: "Robots Learn Dancing to the Beat")
• B.Sc. in Computer Science from Yarmouk University, Jordan (Final project: distributed medical filing system)

Dr. Saada's research spans artificial intelligence and robotics, with specialized expertise in computer vision, deep learning architectures, probabilistic graphical models, and human-robot collaboration. His work bridges theoretical frameworks like Dynamic Bayesian Networks with industrial applications including food production automation and elderly care systems, emphasizing real-time embedded solutions and custom deep learning model deployment.

He has secured significant research funding through Innovate UK projects including "Snoozeal Connect" for sleep disorder management and the Newton Fund-supported "YOBAN" assistive robot initiative. His award-winning Knowledge Transfer Partnership with Millitec Food Systems developed the UK's first embedded vision system for food production quality control, featuring custom deep learning models deployed on delta robots.

As a core member of the Loughborough Robotics and Artificial Intelligence Lab, Dr. Saada leads the MoChris teaching robot project—a platform used across undergraduate and postgraduate robotics modules—demonstrating his commitment to practical robotics education and research infrastructure development.