The area of electronics includes a broad range of research topics from the electrical properties of materials with emphasis on semiconductors to classical semiconductor devices, nonelectronic devices, sensors, digital and analog circuits, and integrated circuits, as well as the necessary fabrication and manufacturing technologies. These devices and technologies provide the building blocks for all kinds of modern applications, such as computers, communications, mobile/wearable electronics, and smart devices for the emerging Internet-of-Things era.
Our areas of expertise include:
Novel Memory Technology
Our research aims to develop novel nonvolatile memory for the next-generation wearable and mobile electronics. We develop new device structures incorporating nanowires, redox-active molecules, and two-dimensional materials to achieve high-performance and low-cost memory. The goal is to replace current on-chip memory and enable new wearable electronics with very low power consumption. Principal investigators: Dimitris Ioannou and Qiliang Li.
Semiconductor Devices and Nanoelectronics
We are developing semiconductor devices and materials for microelectronic circuits, radio frequency (RF) devices, electrostatic discharge (ESD) prevention devices, volatile and nonvolatile memory cells, and nano-CMOS technologies. Principal investigators: Dimitris Ioannou, Qiliang Li, Rao Mulpuri, and Alok Berry.
Sensors and Sensor Systems
The focus of our research is to develop new optical and chemical sensors based on novel materials, including conventional semiconductor materials, metal oxide semiconductors, nanowires, graphene, and other two-dimensional materials. We integrate sensors and sensor arrays into small stand-alone systems for intelligent sensing applications. Our research also seeks to exploit analytical algorithms to enable precise identification of similar chemicals and detection of complicated hybrid gases. Principal investigators: Qiliang Li, Rao Mulpuri, and Dimitris Ioannou.
Smart Wearable Electronics
Our research aims to develop wearable electronics to monitor the health conditions and motions of humans. The research involves the study and application of various sensors, small circuits, and artificial intelligence algorithms. The goal is to develop machine learning and data analytical methods to enable intelligent control and adaptive strategies for applications. Principal investigator: Qiliang Li.