Dr. Muhammad Usman Ejaz

Lecturer in Electronic Engineering

Work: +44 (0) 7933 502720

I am a dedicated Electronic Engineering professional known for my strong blend of academic expertise and leadership. My academic journey includes teaching positions and leadership roles that have helped shape modern engineering education. Currently, I serve as a Lecturer and Stream Lead at the Dyson Institute of Engineering and Technology in the UK, where I design modules and drive curriculum development across subjects such as Analogue Systems and Electronic Circuits and Applications. As the Stream Lead for Electrical Engineering at the Dyson Institute, I lead academic activities including teaching, module development, assessment design, and research supervision. I have actively collaborated with industry partners and been involved in compliance with IET accreditation standards, ensuring the high credibility and continuous improvement of the program.

The Dyson Institute is recognized as a hub of academic excellence and innovation, where industry-aligned research meets rigorous academic standards. The institute’s strategic vision for continuous improvement, industry collaboration, and compliance with high accreditation standards makes it the ideal environment for people like me to thrive and drive progress in the field of Electrical Engineering.

Qualifications

PhD Electronic Engineering
FHEA (Fellowship of Higher Education Academy)
Diploma of Researcher Development
Postgraduate Certificate in Academic Practice
Certificate in Learning and Teaching

Electrical and Electronic Circuits and Systems
Analogue Systems
Electronic Circuits and Applications

View all modules

Research

Research Expertise & Experience

Electromagnetic Sensor Design and Fabrication:
- Developed flexible sensors using innovative techniques, such as inkjet-printed silver nanoparticles on PET substrates, for chemical and biomedical applications.
- Designed advanced electromagnetic resonators, metamaterials, and related sensor structures, focusing on real-world challenges in healthcare and chemical sensing.
- Pioneered developments in miniaturization by integrating ultra-small antennas within devices such as wireless capsule endoscopy systems.
Metamaterials and Dielectric Characterization:
- Engineered multi-layered metamaterial structures, including T-shaped antennas and complementary split ring resonators, to measure chemical concentrations, strain, and dielectric properties in body phantoms. This work addresses the critical need for precise sensing in interactive and bio-integrated environments.
Wireless Communications and Edge Computing:
- Investigated techniques to minimize task offloading delay and improve network performance through Non-Orthogonal Multiple Access (NOMA) and Mobile Edge Computing (MEC) strategies.
  Explored deep learning methodologies to enhance low-power MIMO-NOMA systems, demonstrating the integration of AI with wireless communication frameworks.

Research Interests

Sensor and Metamaterial Innovations:
- Design of flexible, high-performance sensors for chemical, biomedical, and strain applications.
Real-World Healthcare and Chemical Sensing Applications:
- Developing solutions that bridge the gap between advanced sensing technologies and practical implementations in healthcare and environmental monitoring.
Integration of AI with Communication Systems:
- Leveraging deep learning to enhance wireless communication, particularly in resource-constrained, low-power environments.
Optimizing Wireless Networks:
- Aiming to improve efficiency and performance through novel communication protocols, robust network designs, and task offloading techniques.
- Remote sensing image recognition using contrastive learning, indicating a growing interest in machine learning applications within sensor networks and imaging.

Publications

Contrastive Learning for Remote Sensing Image Recognition, K Bi, T Irum, MU Ejaz, 2025, 22nd International Bhurban Conference on Applied Sciences and Technology (IBCAST), 1 – 7 (Accepted).
Flexible Electromagnetic Sensor with Inkjet-Printed Silver Nanoparticles on PET Substrate for Chemical and Biomedical Applications, MU Ejaz, T Irum, M Qamar, A Alomainy, 2024, Sensors, 24 (20), 6562.
Comparative Analysis for CSI, QoS, and Hybrid SIC Based Decoding Order Schemes in NOMA-Assisted MEC Systems, Y Li, MU Ejaz, T Irum, 2024, 21st International Bhurban Conference on Applied Sciences and Technology (IBCAST), 1 – 7.
MIMO-NOMA-DAE: A Deep Learning based Downlink MIMO-NOMA Scheme for Low-Power Applications with Imperfect CSI, SA Simba, T Irum, MU Ejaz, 2024, 6th Global Power, Energy and Communication Conference (GPECOM), 709-717.
Electromagnetic Resonators and Metamaterial-based Sensor Structures for Chemical and Healthcare Applications, MU Ejaz, 2023.
Ultra-miniaturized camera integrated antenna for wireless capsule endoscopy, M Qamar, KY Kapusuz, MA Thaha, A Alomainy, 2023, 17th European Conference on Antennas and Propagation (EuCAP), 1 – 4.
Minimizing task offloading delay in NOMA-MEC wireless systems, T Irum, MU Ejaz, M Elkashlan, 2022, 4th Global Power, Energy and Communication Conference (GPECOM), 632-637.
Dielectric Characterisation of Body Phantoms Using Microstrip Line Coupled Complementary Split Ring Resonators, M Qamar, MU Ejaz, A Alomainy, MA Thaha, 2022, IEEE Sensors, 1 – 4.
Electromagnetic resonators and metamaterials-based structures for chemical and biological sensing in body-centric wireless healthcare applications, MU Ejaz, T Irum, Q Abbasi, A Alomainy, 2022, IET Digital Library, 141 – 167.
Dielectric Characterization and Chemical Concentration Sensing using T-Shaped Antenna, MU Ejaz, T Irum, A Alomainy, 2022, 16th European Conference on Antennas and Propagation (EuCAP), 1 – 5.
Double-layered metamaterial structure for chemical concentration and strain sensing, MU Ejaz, A Alomainy, 2020, IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, 1403 – 1404.