Where EM meets AI
Intelligent Electromagnetics (Intellem) solves complex electromagnetic (EM) problems through advanced numerical modelling and artifical intelligence (AI).
Consultancy. Training. Software.
Whether you need help with electromagnetic simulations, antenna design and optimization, geophysics and ground penetrating radar, or machine learning, we offer cutting-edge solutions to meet your needs.
Computational Electrodynamics
Harvesting the power of advanced numerical modelling, machine learning, and AI, we can help you with electromagnetic simulations, antenna design, optimization, and challenging problems with high societal value such as landmine and UXO detection.
Geophysics &
Non-Destructive Testing
We offer geophysical and Ground Penetrating Radar (GPR) services to help you explore and map the subsurface as well as assess critical infrastructure. Our team can help you with GPR data processing, interpretation, and advanced processing and modelling solutions.
Machine Learning
We can help you harness the power of machine learning to solve complex geophysical and sensing problems. We offer bespoke consultancy services related to machine learning, including synthetic data generation, data preparation and model training.
Workshops & training
We offer training and software services to help you stay up-to-date with the latest advancements in numerical modelling (through gprMax), digital twins, GPR processing/intepretation, machine learning, and full waveform inversion.
About us
Dr Craig Warren, Professor Antonis Giannopoulos, and Dr Iraklis Giannakis formed Intelligent Electromagnetics in 2021 having developed extensive expertise in advanced numerical modelling coupled with artificial intelligence to solve complex electromagnetic wave propagation problems.
Craig Warren
Craig's research on advancing the use of GPR for infrastructure sensing and geophysical applications led to the development of the first numerical models of commercial GPR antennas. These digital twins enable GPR responses to be more accurately simulated and resulted in a step change in GPR data interpretation from qualitative towards quantitative. He currently leads the development of gprMax, which was selected in 2019, 2021, and 2023 for Google Summer of Code. Craig co-chaired IWAGPR 2017 and has given many workshops worldwide on GPR modelling. He is a Chartered Engineer (CEng) and a fellow of the Institution of Civil Engineers (FICE) and Higher Education Academy (FHEA).
Antonis Giannopoulos
Antonis is an internationally recognised expert on GPR modelling and its applications, with >25yrs of experience. He was one of the pioneers of numerical modelling of GPR in the early 1990’s, when he created gprMax, which has since become the de facto tool for GPR modelling. He continues to lead research into the underpinning EM modelling methodologies for GPR, and has directed several significant research projects, supported by the Defence Science and Technology Laboratory (Dstl) and Google Fiber (USA), that have brought key developments to the accuracy and performance of GPR simulations. Antonis has >150 published works on GPR modelling, is a regular invited speaker at international meetings, and was General Chair of IWAGPR 2017.
Iraklis Giannakis
Iraklis has expertise in near-surface geophysics with a wealth of research experience on GPR modelling, optimisation, and machine learning. He was the Bullerwell Lecturer for 2024, he won best paper at the 15th International Conference on GPR, and his work on heterogeneous and dispersive material modelling enabled a new level of realism and accuracy for GPR simulations. Iraklis has developed a range of signal processing, full-waveform inversion (FWI), and machine learning methodologies, which have significantly improved and automated interpretation of GPR data. His work on planetary GPR was also published in popular news outlets such as The Independent, The Conversation, Phys.org.
