Students and faculty in the Engineering Department engage in cutting-edge application-centric research initiatives. All of the research taking place in the department is led by undergraduate and graduate students. They are in charge of research projects, plan and do research, give talks at conferences, write articles for journals, and compete in regional and national design challenges. We put students' success at the center of our research and scholarly activities. We invite you to learn more about our research and scholarly activities and to join us for research talks and seminars.
Core Research Areas:
Electromagnetics and Radio Frequency Communications
Projects in Electromagnetics and Radio Frequency Communications look into electromagnetics, radio frequency, and microwave. Some researchers learn more about metamaterials and metasurfaces, while others look into how electromagnetic waves travel and interact with each other. Some researchers are coming up with new ways to process signals for the next generation of communication systems. For example, they are trying to improve wireless communication in crowded indoor environments and make sure that a small ceramic antenna works as well as a larger one. Some researchers are looking into using small radio signals for search and rescue operations. Researchers make electronic boards for microwaves, design and make antennas, and test them with high-tech tools.
Robotics and Automation
Robotics research and design projects look at robots and self-running systems that can be used in a wide range of places, from the home to the factory to outer space. Some examples of projects are a NASA Lunabotics rover for exploring the moon, unmanned aerial vehicles that can land on their own and charge themselves wirelessly, mobile robots that can find their way around with the help of vision and audio commands, and fixed robotic arms with advanced control software. Researchers build robots, create electronic hardware, and write software.
Internet of Things
Researchers working on the Internet of Things explore the world of connected things and how to make them efficient, reliable, and safe. Some researchers are looking into developing solutions for social, educational, and health care problems. An example of such a project is a green network that uses delay-tolerant networking for universal connectivity in rural areas. Researchers connect sensors to microcontrollers, write software to collect and study sensor data, and create interfaces to use the data.
Researchers are building hardware and software systems that work intelligently. These systems use vast amounts of data from sensors, cameras, and other sources to learn from their experiences. They use machine learning, artificial intelligence, and powerful small computers. Some researchers are looking into creating new medical devices, while others are making robots and drones smarter so that they can do new things and make decisions much faster. Some examples of these kinds of projects are robot control and navigation based on artificial intelligence, FPGA implementation for metaparticle surrogate modeling, drone navigation and self-landing, a grape yield estimator, and figuring out how much glucose is in a person's blood from their breath.
AITIS Lab is committed to research and develop Internet-based technology solutions for social, educational, environmental, and health care problems. Our research activities include Green Networking and Implementing Delay Tolerant Networking to promote universal connectivity to rural areas. For more information, please contact Dr. Farid Farahmand.
Electrodynamics Engineering Laboratory (eel)
The electrodynamics engineering laboratory (eel) is established at Sonoma State Engineering Department to advance research in electromagnetic wave propagation and scattering, antenna design, novel electromagnetic materials, microwave circuit design, and real-time signal processing techniques. For more information, please contact Dr. Mohamed Salem.
The mission of the Intelligent Systems Lab (ISL) at Sonoma State University is to advance research and teaching in smart and intelligent systems as applied to biomedical sensing, embedded systems, computer vision, and robotics. We work with sensors and analyze sensor data to solve engineering problems through design, development, test, and verification of hardware and software. For more information, please contact Dr. Sudhir Shrestha.