Our research focuses on application of artificial intelligence, wearable and ambient sensors in bioengineering, assistive robotics and health informatics. Research topics include design of wearable device hardware, such as novel on-body sensors, microcontrollers and FPGA, flexible and conformable electronics, wireless IoT-enabled devices and body sensor networks. The laboratory is also heavily involved in signal and image processing using techniques of digital signal and image processing, machine and deep learning. The developed devices and methods are utilized internationally in human studies of health-related behaviors, including food intake, physical activity, cigarette smoking and others.