Analysis and Modeling of Wireless Channels for Wearables and Implants

Overview

Developing accurate computational models and phantoms that can be used to emulate tissues
and human body organs, although quite challenging, is often needed to assess the reliability of
the communication channel used to transfer biological data. These models are not only needed
to advance biotech research, but they can also be used to provide channel assessment
information to ongoing and future standardization efforts. The project will develop
methodologies, computational models, and programming modules to assess wireless channel
characteristics for human lung monitoring and brain-computer interface applications.

Qualifications

• A PhD in Electrical and Computer Engineering, or a related field.
• Familiarity with Body Area Networks, IEEE 802.15.6 and IEEE802.15 TG6ma, wearable and implant antenna design, computational modeling of human tissues and organs, Maxwell-Garnet model, RF propagation channel modeling.
• Experience in coding or using ANSYS HFSS, SCAN IP, XCAT, Python, MATLAB.
• Ability to develop matching computational models for liquid and solid phantoms used in experiments.
• Strong oral and written communication skills.

Research Proposal

Key responsibilities will include but are not limited to:

• Collaborate with domain experts to design appropriate parametric framework to study the scientific problem
• Develop computational models to investigate the performance of a wearable AI system for detecting pulmonary edema.
• Perform sensitivity analysis of the wireless channel with respect to antenna placement.
• Investigate feasibility of antenna arrays and assess viability of in-body beamforming by conducting simulations and analysis.
• Investigate the impact of creeping waves using Poynting vector data
• Communicate results via technical publications at select conferences and journals.