Our research aims at enabling unprecedented low-power, efficient, and miniaturized hardware for emerging applications like Internet of Everything, ubiquitous computing, wearable and implantable bioelectronics.
The foundations for the sensing/control/actuation functionalities of such devices are ultra-low-power circuits and integrated systems for sensing, computing, communication, power management, and energy harvester and transfer. Meeting the unprecedented power and cost constraints demands unconventional circuit and system designs. Besides, advanced sensor data processing and machine learning have great potential in revolutionizing mobile and IoT applications. Performing these computing with microcontrollers is almost impossible and thus necessitates innovative energy-efficient and lightweight computing platforms. Last but not least, security and privacy are of critical importance in the envisioned ubiquitous applications, which must be met by hardware/software co-designs to simultaneous realize the security, energy, and costs requirements.
Miniaturized wireless bioelectronic implants will provide powerful capabilities to accelerate basic biological research and improve clinical therapies for human disorders.
The strong demand for encryption in many IoT and healthcare devices cannot be fulfilled by the embedded processors and small batteries.
Internet of Things (IoT) are expected to bring unprecedented impacts to many industrial sectors and people’s daily lives, creating trillion-dollar economic impacts.
Accelerating finite automata processing is critical for advancing real-time analytic in pattern matching, data mining, bioinformatics, intrusion detection, and machine learning.
Deep learning has shown exciting successes in performing classification, feature extraction, pattern matching, etc.
Growing security concerns about mobile and IoT devices arise in the physical implementations of hardware, due to emerging side-channel (power, EM, timing) attacks.
The rapidly increasing cost to design and fabricate cutting-edge semiconductor chips forces designers to trust a few third-party foundries and third-party IPs, which makes the trustworthy of hardware an open question.