Radar Interferometry Group
Led by: Prof. Howard Zebker

Radar interferometry uses synthetic aperture radar mapping satellites to form detailed images of geological surfaces. This powerful technique can reveal centimeter-sized changes in the Earth's crust due to natural phenomena.

http://www-star.stanford.edu/sar_group

Radio Science Group
Led by: Prof. Len Tyler



http://www-star.stanford.edu/rsg
(under construction)

Optical Communications Group
Led by: Prof. Joseph M. Kahn

The Optical Communications Group performs research on advanced communication techniques for a variety of optical transmission media, including single-mode fiber, multi-mode fiber, and free-space optical links. Experiments are performed in a state-of-the-art facility in 41-A Ginzton Laboratory.

https://ee.stanford.edu/~jmk/group/

Photonics & Networking Research Lab
Led by: Prof. Leonid G. Kazovsky

Photonics & Networking Reasearch Laboratory (PNRL) was established in 1990 by Professor Leonid G. Kazovsky for experimental and theoretical research in optical fiber communications. We are interested in and actively working on components, systems and networks; our main focus is systems.

http://pnrl.stanford.edu

Ultra Low Power Group
Led by: Prof. Len Tyler

The Ultra Low Power Technology Group in the Department of Electrical Engineering at Stanford University is interested in the study and implementation of VLSI processing that is both low-power and high-performance. This is done through the radical reduction of supply voltages using chips fabricated in tunable low threshold CMOS processes.

http://www-star.stanford.edu/projects/ulp

VLF - Very Low Frequency Group
Director: Prof. Umran Inan

We investigate the earth's electrical environment, its upper atmosphere, lightning discharges, radiation belts, and the ionized regions of the earth's upper atmosphere known as the ionosphere and magnetosphere. Much of our work invloves the use of very low frequency (VLF) electromagnetic waves which are generated by lightning discharges, by man-made transmitters and by the energetic radiation belt electrons.

http://www-star.stanford.edu/~vlf/

Wireless Communications Group
Led by: Prof. Donald Cox

In this program, faculty and graduate students are exploring new wireless access techniques, new signal processing techniques for implementing access technologies and new mobility management techniques for large scale networks. In order to demonstrate the feasibility of the new techniques, large scale computer simulations are being created and run, wireless systems and architectures are being synthesized and analyzed, and prototype circuits are being built and tested in a laboratory.

http://wireless.stanford.edu

Wireless Systems Lab
Led by: Prof. Andrea Goldsmith

Wireless technology has enormous potential to change the way people and things communicate. Future wireless networks will allow people on the move to communicate with anyone, anywhere, at any time, using a range of multimedia services. Wireless communications will also enable a new class of intelligent home electronics that can interact with each other and with the Internet. Wireless distributed control will enable automation of transportation, factories, and homes, and wireless sensor networks will allow remote collection and processing of large amounts of data for environmental monitoring and security, among other applications. Wireless video will support applications such as distance learning and remote medicine. There are many technical challenges that must be met in order to make this vision a reality. These challenges transcend all levels of the overall system design, including hardware, communication link design, and networking. In addition, synergies between the hardware, link, and network designs must be exploited in order to meet the demanding performance requirements of these future systems.

http://wsl.stanford.edu

Wireless Sensor Networks Lab
Led by: Prof. Andrea Goldsmith

Wireless sensor network design is a multi-disciplinary area with many challenging open problems in both theory and system design. Due to the delay and energy constraints along with the collaborative nature of both communication and processing inherent to these networks, the system must be designed via a cross-layer optimization methodology. It is also important that data processing, network intelligence, and decision making operations be distributed among the network nodes for robustness and energy efficiency. This calls for collaboration between the nodes on data fusion, decision fusion, and efficient data aggregation and routing.

http://wsnl.stanford.edu