CURRENT PROJECTS
Non-invasive Blood Glucose Measurement
Novel RF and optical non-invasive blood glucose measurement techniques are developed as part of this project with 2 pending patents.
REconfigurable FiLter-banks of Efficient Channelisation for Satellites (REFLECS)
REconfigurable FiLter-banks of Efficient Channelisation for Satellites (REFLECS)
The main objective of the project is to improve flexibility in channel width and centre frequency for a useful number of channels to improve the effectiveness including power and circuit complexity reduction of on-board processors in communication satellites, achieved without significant degradation in either digital filter-bank performance or efficiency compared to current methods and expectations.
Bicycle RADAR for Cyclist Safety and Road Planning
A custom bicycle radar system was designed and tested based on Silicon Radar GmbH 120 GHz radar modules to monitor and record real-time distance and speed of vehicles that come in proximity of a bicycle to monitor cyclist safety and design safe cycling roads and routes.
Energy Harvesting from Microbial Fuel Cells (MFCs)
The system harvests energy from wastewater using MFCs generating and storing electrical energy, which would be very useful or vital in some regions, where there is limited to no access to electricity. Inherently and as a bonus, the wastewater is also treated during the process, generating cleaner water, which would again be very useful in many regions.
Smart RF Power Amplifiers
Confidential
Smart Wound Dressing
A smart wound dressing with integrated pH and humidity sensors will be developed to monitor the pH level to track the healing process and the humidity level to track the humidity at the wound site to maintain a certain optimum level to promote fast and successful wound healing. Project in collaboration with SUNUM, Sabanci University, Turkey.
Breath Analysis
A custom analog frontend to match the characteristics of a specific highly sensitive NH3 sensor will be developed to acquire the signals as well as custom Digital Signal Processing (DSP) algorithms to minimize the noise bringing the Signal to Noise Ratio (SNR) up substantially and even recovering signals that are buried in the noise floor that cannot be otherwise measured using regular laboratory equipment. Project in collaboration with SUNUM, Sabanci University, Turkey.