- Touchless Hand Gesture-Based Digit Recognition: using Light-Sensors, Convolutional Neural Networks and a Microcontroller
- Towards a low-cost air-written character recognition system: Designing an embedded machine learning system to recognise the first 10 letters of the Latin alphabet
- Optimizing Connection Establishment and Parameter Adaptation in Bluetooth Low-Energy for Intermittently-powered Devices
- Recognising Gestures Using Ambient Light and Convolutional Neural Networks: Adapting Convolutional Neural Networks for Gesture Recognition on Resource-constrained Microcontrollers
- A 0.5-V 1.6-mW 2.4-GHz Fractional-N All-Digital PLL for Bluetooth LE With PVT-Insensitive TDC Using Switched-Capacitor Doubler in 28-nm CMOS
- A Bluetooth Low-Energy Transceiver with 3.7-mW All-Digital Transmitter, 2.75-mW High-IF Discrete-Time Receiver, and TX/RX Switchable On-Chip Matching Network