Current Projects
Circuit design is a fundamental field in electronic systems. As emerging technologies such as the Internet of Things (IoT), 5G, and Artificial Intelligence (AI) continue to advance, the significance of circuit design becomes increasingly apparent. Our work revolves around developing innovative circuits that cater to the evolving needs of these technologies.
Our research focuses on automating the design and synthesis of novel, energy-efficient, high-performance Integrated Circuits (ICs) in CMOS technologies. We are developing innovative design strategies to address the semiconductor industry's Power, Performance, and Area (PPA) challenges. Additionally, we are interested in developing cost-effective, self-powered platforms that integrate functionalities from sensing to wireless transmission for emerging technologies.
Analog Automation: AI-Driven Analog IC Design
In this project, we are investigating the use of AI/machine learning-assisted topology selection and transistor sizing for analog circuits. This involves training machine learning models to select the topology for a given set of design requirements.
Additionally, we are developing a systematic method for synthesizing innovative circuit architectures and topologies using two-port network modeling techniques and symbolic math solvers. This involves developing algorithms that can generate new circuits based on the given application. The project focuses on RF and mm-wave circuits and applications.
High Performance ICs for Biomedical Imaging
In this project, we are developing low-power, low-noise, high-speed analog/mixed-signal circuits for biomedical applications. The current focus of this project is to design high-performance time-to-digital converters (TDCs) for SPAD-based sensors.
High-Speed Optical Receivers
This project explores the design and development of advanced optical communication systems based on silicon photonics. This research involves integrating silicon waveguides with essential receiver components such as photodetectors, transimpedance amplifiers (TIA), variable gain amplifiers (VGA), clock and data recovery (CDR) circuits, and equalizers. The goal is to achieve efficient, high-speed data transmission with low power consumption, supporting high-bandwidth optical receivers for applications in data centers and next-generation communication networks.
Ultra-Low Power Analog ICs for IoT
This project focuses on developing ultra-low power analog sensor interfaces, which are critical for IoT applications. The research aims to optimize power consumption in analog ICs while maintaining high performance and reliability. Additionally, it explores the integration of these sensor interfaces with energy harvesting circuits to create self-powered systems, enabling sustainable, long-term operation of IoT devices in remote and battery-limited environments. The project contributes to advancing IoT technologies for healthcare, environmental monitoring, and smart cities.
