Bappaditya Mandal

Researcher at Department of Electrical Engineering; Integrated Smart Systems Technology

E-mail:: bappaditya.mandal@angstrom.uu.se
Visiting address:: Ångström, Lägerhyddsvägen 1
752 37 Uppsala
Postal address:: Box 65
751 03 UPPSALA

Download contact information for Bappaditya Mandal at Department of Electrical Engineering; Integrated Smart Systems Technology

Short presentation

I am a researcher in the Microwaves in Medical Engineering group at Uppsala University. My research focuses on antennas, microwave sensing and communication for healthcare, including wearable and implantable antennas, fat-intra-body communication, wireless power transfer, tissue characterization, medical phantoms and AI-assisted microwave diagnostics.

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Biography

Bappaditya Mandal is a researcher in the Division of Integrated Smart Systems Technology, Department of Electrical Engineering, and a member of the Microwaves in Medical Engineering group at Uppsala University. His research combines antenna and microwave engineering with biomedical applications.

At Uppsala University, he develops wearable and implantable antennas, microwave sensing systems, fat-intra-body communication technology, wireless power transfer solutions, tissue-equivalent phantoms, dielectric characterization methods and AI-assisted diagnostic techniques.

His current research focuses particularly on non-invasive microwave monitoring of lung conditions, body-centric communication and enabling technologies for connected medical devices. He contributes to interdisciplinary national and international projects involving engineering researchers, clinicians and industry partners.

He teaches antenna engineering and supervises student projects. He is a Senior Member of IEEE and serves as an editor and reviewer for international journals in antenna, microwave and biomedical engineering.

Research

My research focuses on antenna and microwave technologies for medical applications. The overall aim is to develop safe, reliable and clinically relevant technologies for diagnosis, physiological monitoring, communication with medical implants and wireless power transfer.

A central area of my research is non-invasive microwave sensing for monitoring changes in biological tissue. I develop systems for detecting and monitoring lung fluid accumulation and conditions associated with acute respiratory distress syndrome, ARDS, and pleural effusion. This work combines electromagnetic modelling, antenna design, laboratory measurements and machine learning. Artificial neural networks and other data-driven methods are used to interpret microwave signals and improve diagnostic accuracy.

I also work on fat-intra-body communication, Fat-IBC, in which the body’s adipose tissue is used as a communication channel. This technology can enable energy-efficient communication between wearable sensors, medical implants and external devices. My research covers wearable and implantable antennas, electromagnetic signal propagation through the body, link performance, electromagnetic shielding and the development of body-area communication networks. Potential applications include connected medical devices and future neuromodulation systems.

Another research area is wireless power transfer for medical implants. I investigate how metamaterials and other electromagnetic structures can improve power-transfer efficiency, focusing and robustness when the position or orientation of an implant changes.

To support the development and validation of these technologies, I work with dielectric characterization of biological tissues, anthropomorphic tissue-equivalent phantoms and digital twins of the human body. These models are used to study antenna performance, signal propagation, repeatability and electromagnetic safety, including specific absorption rate, SAR.

My research is interdisciplinary and involves collaboration with engineering and medical researchers, clinicians and industry partners. The long-term ambition is to bridge the gap between electromagnetic research and practical healthcare technologies.