• VLSI System Design
• Electronic and Genetic Design Automation
• Development of reconfigurable logic architectures and digital circuits
• Exploiting emerging device technologies and novel EDA techniques

The main research focus of our team is to develop advance integrated circuits & systems for high-performance and energy-efficient Communication & Computing systems. We are trying to find efficient topological representations of advanced Communication, Signal Processing, and Coding schemes. Our research interests include broadband data communication, wireless transceivers, wide-band phase-locked loops and synthesizers, data converters, and energy efficient integrated circuits.​We encourage you to get in touch with us if you have a strong background on design of Integrated Circuits, as well as a solid knowledge on theoretical subjects such as Signal Processing, Communications, and System Modeling

• Electronic Design Automation (EDA)
• Application of Machine Learning (ML) on RF/analog/mixed-signal circuit design
• System-on-Chip (SoC) design
• Artificial Intelligence
• Analog & digital circuit design
• Data retrieval

The Sensing, People, and Networks (SPAN) Lab conducts research on two topics: wireless networking, and the equity of engineered and automated sensing and decision systems. We have a history of augmenting the reliability, efficiency, and capabilities of networks using the radio as a sensing interface in addition to the communication interface. We also investigate how sensing and other “big data” systems and algorithms that affect the resources people are allocated can have both positive and negative effects on equity in society. Students in the SPAN Lab study wireless networking, statistical signal processing, and power and inequity, and these tools enable us to study the interaction of people, networks, and sensing systems in new ways that will lead to greater privacy, reliability, and equity of engineered systems.