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Our team brings together decades of expertise in mission-critical software engineering, chemical research, and industrial automation to deliver the I-DNTITI hub.

Associate Professor at the British University in Egypt, former PhD student at Tokyo Institute of Technology. Fellow of Advance HE, UNIDO consultant, DAAD Expert, Board Director of ‘IISE Engineering Economics Division’ USA, Global Ambassador of Sustainability, and British Council Certified Counsellor. Award winner with over 75 publications and $800K-worth funded projects, has been active in teaching, research, training, and consultation for 18 years across 25 countries.

PhD researcher specializing in process systems engineering and multiphase flow measurement. Expert in fluid mechanics and numerical analysis, providing the foundational research for high-precision industrial telemetry within the I-DNTITI framework.

Senior Lecturer in Chemical Engineering specializing in sustainable industrial processing and energy materials. Expert in CFD simulation and minerals extraction, leading the research into decarbonizing high-thermal industrial activity and molten salt systems.

Assistant Professor in Robotics and Automation at Loughborough University. Experienced researcher with proven knowledge and skills in developing effective computing technologies for healthcare applications. Her research interests include teleoperation, Cyber-physical Health and Assistive Robotics. Conducting advanced research in image processing, computer vision, and robotics. Particularly, I am interested in utilising computer vision, machine learning and AI technologies for the early detection and management of medical conditions.

Honors graduate in Mechanical Engineering and Teaching Assistant at BUE. Specializing in renewable energy and industrial mechanics, Kareem supports the modeling of physical asset telemetry within the I-DNTITI digital transition framework.

Assistant Lecturer and AI researcher with an MSc in Renewable Energy. Expert in deep learning optimization and embedded systems (ROS/Linux). Saif focuses on integrating intelligent automation and adaptive control within the I-DNTITI industrial framework.
Leverage our combined academic research and industrial engineering expertise to decarbonize your operations.