In 1965, Gordon Moore wrote a seminal paper predicting that the number of transistors on a chip will double about every two years. Such exponential growth in transistor density still holds true to this very day. Today's intelligent devices all rely on these advanced transistors that need to be tailored and optimized in order to deliver a wide variety of computing workloads, ranging from low-power device to high performance computing, and across different "XPU" architectures, including, CPU, GPU, NPU, TPU, FPGA, and ASIC.

We focus on the device design, process manufacturability, and Design Technology Co-Optimization (DTCO) to enable new transistor architecture with high performance, low power consumption, high yield, and new computing paradigm. Device variability and reliability are modeled and quantified to assess design margin for both Logic and Memory. Alternative CMOS process and emerging switching devices are also explored as possible candidates for CMOS-replacement device.

We believe that the future of healthcare will be drastically different from the past due to digital transformation. Gone are the days when healthcare only starts when you step foot into a hospital. Instead, smart wearable devices will act as the eyes and ears for your doctor to provide 24/7 continuous health monitoring and give personalized recommendation to improve your wellness and provide early detection of chronic diseases. 

By leveraging MEMS and Nanotechnology, our group aims to develop wearable devices that can be manufactured at a low-cost and still provides excellent measurement accuracy to the stimuli being sensed. Such device should be easy to use, comfortable to wear, and has long battery life, and can even harvest energy from the surrounding environment.   Combining our device with a data acquisition system that is powered by a small form factor computing unit, telemetry data can be processed both locally at the edge or send wirelessly to the cloud for further data analysis.

Advancement in computation and reduction in imaging hardware cost have made it possible to bring machine vision to the masses. Traditional camera system relies on data captured in the form of Red, Green, and Blue color (RGB). Although much information can be derived from those color data alone, the system still lacks one key element that is an essential part of human visual system - Depth. 

We believe in applying 3D depth vision and Lidar technology to assist in healthcare industry and automation. Aging society has become one of the societal major issues as people are living longer, thanks in part to modern medicine and healthcare technology. But at the same time, it also presents an unprecedented challenges in terms of managing resources towards taking care of the elderly population. 3D depth camera technology can be deployed inside a hospital or care facility to enable accurate patient activity tracking, emergency alert system, or physical rehabilitation - the tasks which are often laborious and currently performed by trained health professionals.

Industry 3.0 has brought us digital revolution that is synonymous with the ubiquitous use of computers, electronics, and automation. Now, we are on the cusp of another industrial revolution, often referred to as Industry 4.0. Imagine a world where trillions of "things" are interconnected, acquiring troves of physical data, sharing processed information, and making insightful decisions through seamless Telemetry, Digital Twins, Metaverse, and Artificial Intelligence, 

Our goal is to integrate swarm of sensors and actuators to be part of a Cyber-Physical System (CPS) that is capable of real-time monitoring, interoperability, and resiliency - with special emphasis in manufacturing, agriculture, and healthcare sectors. Existing factory machines can be retrofitted to become Industry 4.0 compliance. Agriculture can be done with precision to increase farming efficiency and help streamline logistic in the supply chain. Healthcare will become more accessible and cost-effective, providing patient with on-demand service of personalized care and consultation.