Chi siamo

Graduated in Telecommunications Engineering from the University of Pisa with a Master at King’s College (UK), Ph.D. degree in Information Engineering from the University of Pisa, Post Ph.D. at University of Oxford through a Marie Curie Intra European Fellowships for Career Development, Seventh Research Framework Programme. Gianluigi matured a solid experience in the applied electromagnetics and microwave imaging for medical application (he is also the coordinator the Radio Frequency laboratory of Imago7 Foundation, Pisa). He authored more than 80 journal and conference papers and he is co-lecturer of Electromagnetics for Medical Applications at Biomedical Engineering, University of Pisa He is the scientist who studied the theory of MammoWave technology disseminated via numerous international conferences and scientific papers. He is the inventor of the patented microwave apparatus (Apparatus for testing the integrity of mammary tissues) and founder of UBT-Umbria bioengineering technologies.

Giovanni Raspa is an expert in mechatronics and is the owner of 3 patents, one of which is the microwave apparatus for testing the integrity of mammary tissues and the other two cover an automatic machine for the reading stamping and a tearing of postal current account receipts. These technologies are currently widely utilized in the postal industry and in the textile industry. He has managerial experience as was cofounder and technical director of Radio Subasio, a Radio in Italy.

Navid Ghavami received the B. Eng degree in Electrical and Electronic Engineering from King’s College and a Ph.D. degree from the University of Oxford. During his PhD and post-doc years, he worked on developing microwave imaging methods with potential applications on cancer detection. Together with Gianluigi Tiberi, he studied the theory of MammoWave technology disseminated via numerous international conferences and scientific papers. Winner of several prizes, he was research associate at King’s College, London. He now joined UBT UK division as senior researcher in imaging and algorithm development

Mario Badia got the Bachelor Degree in Telecommunications and Electronics Engineering at Universidad de Oriente, Cuba, in 2016, with focus on software engineering, machine learning, digital signal processing and computer networks. Next, he matured a solid experiences as telecommunication engineer (ETECSA, Cuba) and as Software Developer (MICRA SOFTWARE E SERVICES Srl, Italy). In 2091, he joined UBT Srl, working in the development of radio-frequencies integrated solutions for biomedical applications, signal processing, data analysis using machine learning algorithms. His software skill includes: Python, Machine Learning, Web develop, C#, JAVA, MATLAB, Flutter.

Graduated in Physics at the Department of Physics and Geology (FISGEO) of the University of Perugia, she did her final project at the Hospital of S.Maria della Misericordia, Perugia, working on the analysis and processing of radiological and MR images. In November 2017 Alessandra joined the scientific team of UBT, managing clinical trial and regulatory.

He obtained his Bachelor Degree in Biomedical Engineering at Carlos III University of Madrid (UC3M), with an intensification on design of medical devices. His research activity covered neuromuscular simulation and electrophysiological analyses, carried out during his internship in National Hospital of Paraplegics of Toledo. In June 2019 Daniel joined the scientific team of UBT, to perform clinical tests in Spain and collaborate in MammoWave development.

Dr. Rana is a Post-Doctoral Research Fellow (fellowship co-sponsored by UBT Srl) at London South Bank University (LSBU), London, UK, working in field of Artificial Intelligence applied to microwave imaging data for breasts lesion Lesions detection and classification. Dr. Rana has completed his PhD at LSBU. He received his Bachelor of Engineering (2009) from The University of Burdwan, India and Master of Technology Degree (2012) from West Bengal University of Technology, India. His research interest includes physiological activity identification from UWB technology, machine learning, deep learning, image retrieval, signal processing, occupancy monitoring, health and imaging aspects for medical applications.

Graduated in Physics at the Department of Physics and Geology of the University of Perugia in 2017, he received a Ph.D. in Physics from University of Padova in 2020. During his Ph.D. , Dr. Papini worked on modelization of black hole solutions in the context of String Theory, specializing in solving (numerically and analytically) non-linear differential equations and in analyzing the various black hole parameters by using various data analysis techniques. From July 2021, Lorenzo started working with UBT team, focussing on data analysis and development of machine learning algorithms to be applied to the collected data.

Graduated in Physics at the Department of Physics of the University of Tehran, she got a Master of Science (MSC) degree with first class in Electrical & Electronic Engineering, Biomedical Engineering, and a Ph.D. at London South Bank University, London (UK). Her research area is in the optimization of the microwave apparatus for breast cancer detection and its extension to other diagnostic applications, such as bone lesions detection and lung imaging.

Subhra Prakash Rana received Bachelor of Technology (B.TECH) in Civil Engineering from BPUT UNIVERSITY ODHISHA, INDIA, and Master of Design (M.DES) in Industrial Design from VIT UNIVERSITY, VELLORE, INDIA (2021). He has expertise in problem solving and Computer Aided Design (CAD) to create high-quality drafting experience with Bill of Materials (BOM) in SOLIDWORKS. He is proficient in using Key-Shot for 3D renderings and in developing FDM 3D printers from scratch for rapid prototyping.

He joined UBT SRL acting as Intern Product Designer.

Moein Movafagh received MSc in Electrical engineering from KNTU, Iran, and is currently studying for a Ph.D. at London South Bank University, UK, focussed on microwave imaging and artificial intelligence for stroke and breast applications. During his MSc, he worked on FMCW radar imaging and improving the SNR of the image created by the synthetic aperture radar (SAR) method. Besides, he worked on the automotive radar with a focus on mitigating interference with collaboration with Infineon; he published papers and filed a patent.

Renier Perez obtained a Computer Science Engineering degree from the University of Informatics Sciences, Havana, Cuba, in 2012, with an emphasis on Software Engineering and Artificial Intelligence. He has then acted as Senior Specialist in Computer Science (XETID, Cuba), Software Quality Control Engineer and DevOps Engineer (OptimalBit LLC, Belarus, Remote) and Backend Developer (Soldev, France, Remote).

He now joined UBT and, currently, he is studying towards a Master's degree in Artificial Intelligence at the University of Calabria, Italy. His software skills include: Python, Machine Learning, Web develop, C#, PHP, Angular, Flutter, Data Analysis.