Dr Shadi Eltanani
PhD, MSc, BSc
Senior Lecturer in Embedded Systems
School of Engineering, Computing and Mathematics
Role
Dr Shadi Eltanani is a Senior Lecturer (Associate Professor) in Embedded Systems in the School of Engineering, Computing and Mathematics at Oxford Brookes University, Oxford, UK. His research is mainly in embedded and wireless systems. Much of his work is on UAV-based wireless systems, looking at coverage, interference and RF sensing. He is also interested in how more sensing and inference can be carried out directly on embedded devices, particularly through TinyML and neuromorphic computing.
He also works on artificial intelligence and machine learning for biomedical and physiological signals, especially human movement and gait. This part of his work is concerned with using sensor data to understand movement patterns and support monitoring and decision-making on embedded systems.
Dr Shadi completed his PhD in Artificial Intelligence at Oxford Brookes University in December 2022. His doctoral research combined machine learning with nonlinear and chaotic dynamical systems to study human gait, with a focus on detecting dynamic disturbances and changes in complex movement patterns.
He is a Senior Fellow of the Higher Education Academy (SFHEA). His teaching experience includes embedded systems, machine learning, intelligent autonomous systems, cloud computing and the Internet of Things at undergraduate and postgraduate levels.
He received his MSc in Telecommunication Engineering with Distinction from Staffordshire University in August 2015 and his BSc in Electrical and Electronics Engineering in June 2009.
Teaching and supervision
Modules taught
I lead and teach the following undergraduate and postgraduate modules:
- COMP6011 Machine Learning
- COMP6031 Cloud Computing and the Internet of Things
- ENGR7023 Real-time Embedded Systems
- COMP7040 Autonomous Intelligent Systems
- COMP6038 Advanced Interfaces
- COMP5001 Foundations of Computation
- ENGR3005 Foundation Engineering Mathematics
- COMP4004 Problem Solving and Programming
- COMP4005 Object-Oriented Programming
- ROBO4001 Introductory Robotics
- MATH4004 Mathematics for Computing
- COMP5017 Data Structures and Algorithms
- COMP6018 Advanced Object-Oriented Programming
- COMP6032 Artificial Intelligence
Supervision
I supervise undergraduate and postgraduate projects across my areas of research. At PhD level, I currently supervise a doctoral researcher supported by a fully funded Nigel Groome Scholarship. I am open to applications from prospective PhD researchers whose interests fit closely with my work.
Research
My research is in embedded systems, wireless communications and intelligent sensing. I am interested in how these systems can operate effectively when processing power, energy and communication resources are limited, and in moving more sensing and decision-making onto the device itself.
My current work includes UAV-based wireless systems, RF sensing and edge AI. I also work with biomedical and physiological signals, using them to support monitoring, analysis of measured data and informed decision-making.
Research impact
Nigel Groome Studentship for the project NatureNet: AI Systems for Conservation and the Management of Human - Wildlife Conflict. Three-year internally funded PhD studentship, supported by the Faculty of Health, Science and Technology, Oxford Brookes University, from the 2025/26 academic year.
Groups
Publications
Professional information
Memberships of professional bodies
- Institute of Electrical and Electronics Engineers (IEEE)
- Institution of Engineering and Technology (IET)
Conferences
- The 26th IEEE Symposium on Computers and Communications: Symposium on Computers and Communications (ISCC)- Workshop on ICT Solutions for eHealth (ICTS4eHealth), September 2021, Athens, Greece.
- The IEEE INFOCOM 2021 Conference on Computer Communications, May 2021, Vancouver, Canada.
- The 14th IEEE International Conference on Innovations in Information Technology (IEEE IIT'20), November 2020, Al Ain, UAE.