University of California, Riverside

Department of Electrical and Computer Engineering



Research Labs


The Advanced Nanofabrication and Devices Laboratory studies novel approaches to electronic and optoelectronic materials and device assembly. We seek to address challenges in solar power generation, sensing, high gain materials, and nanoscale lasers. Bio-assisted assembly, photoelectrochemical processes, and optical cavity design are of particular interest to our laboratory. Please contact Prof. Elaine Haberer for more information.
 
 
The motivation of the Biomedical Science and Nanotechnology laboratory directed by Dr. Mihri Ozkan is the development of bio-assisted assembly methods for future nanoelectronics, synthesis and application of novel hybrid, multi-functional and complex nanoscale systems for fabrication of better displays, development of solar cells, and development of cancer therapeutics. Our group members come from highly interdisciplinary backgrounds including electrical engineering, chemical engineering, chemistry, biochemistry and cellular biology. This multi-disciplinary environment offers both graduate and undergraduate students training in multi-disciplinary fields including biology and engineering.
 
 
The mission of the UC-Light center is to enable wireless communications by embedding signals into the light emitted by next-generation LEDs in systems for illumination, traffic control, advertising, and other purposes.
 
 
The COVEN Lab was motivated by the increasing demand for networked autonomous vehicles. We work on both theory and applications in distributed coordination and control of multiple autonomous vehicles. Our research objectives include cooperative control algorithm design, swarms of autonomous vehicles, distributed sensor networks, networked cyber-physical systems, and object-oriented multiple ground robot and UAV experiments. While autonomous vehicles that perform solo missions can yield significant benefits, greater efficiency and operational capability can be realized from teams of autonomous vehicles operating in a coordinated fashion. Potential applications for multi-vehicle systems include space-based interferometers, future combat systems, surveillance and reconnaissance, hazardous material handling, and distributed reconfigurable sensor networks. Our lab is particularly interested in distributed multi-vehicle cooperative control, where collective group behavior is achieved through local interaction.
 
 
  • We devote us to contemporary higher education to prepare our students with the enabling knowledge to ride skillfully the turbulent information technology waves.
  • We conduct advanced research on integrated circuits and contribute, to the most extent, to the advancement of micro-/nano-electronics.
  • We promote university-industry collaboration that is vital to continuous progresses of the information technologies.
 
 
We conduct fundamental and applied research in signal processing with applications to wireless communications and sensing systems. We focus on the importance of selected problems as well as the intellectual excitement in solving such problems. We are active in transferring our research findings into commercial applications and in return identifying new problems to continue our next cycle of research.
 
 
Our mission is to understand, invent, design, and evaluate future electronic materials, devices, and circuits. Our approach is to develop the theory, models, and simulation tools and then apply them to model, design, and analyze the electronic properties of novel materials and the operational principles and performance metrics of prospective devices and circuits. Our current aims are to investigate carbon nanotube (CNT) and nanowire (NW) device designs to determine their performance metrics. We answer "How well can these devices work?" and "What are optimal designs subject to fabrication constraints?"
 
 
MSLAB at UCR works on cutting-edge mixed-signal/analog/RF circuit design methodology and develops design tools for current and future nanometer System-On-a-Chip VLSI. We address SoC design challenges and enable a quantum leap to a new generation of mixed-signal SoC systems.
 
 
The mission of the Nano-Device Laboratory (NDL) research group is theoretical and experimental investigation of the properties of inorganic / organic / hybrid nanostructures and development of novel electronic / optical / thermoelectric devices and circuits based on these nanostructures.
 
 
Our mission is to explore Silicon-based and Zinc Oxide-based thin films, nanowires, and quantum dots and their nanoelectronic and optoelectronic devices and to prepare next-generation engineers and leaders in these fields
 
 
Signal Processing and Communications
The Signal Processing and Communication Group conducts research in signal processing, sensing systems, sensor networks, wireless communications, information theory, source coding, channel coding, etc. For more information, contact Yingbo Hua, Ilya Dumer, Ertum Tuncel and Ping Liang.
 
 
The Transportation Systems Research (TSR) group conducts research in a variety of areas, focusing on the system-level issues of multi-modal transportation. One of the primary goals of the group is to predict the air quality and energy impacts of a variety of transportation activity. The group also carries out a variety of field studies, measuring traffic parameters and individual vehicle activity (including emissions) while operating in traffic. The TSR group also has an extensive telematics research program, focused on sending/receiving information from vehicles in real-time. This telematics research program began with the implementation of one of the most advanced carsharing programs in the world, UCR IntelliShare. The group is also involved in a variety of sensor and controls research.
 
 
The Video Computing Group @ UCR, led by Dr. Amit Roy-Chowdhury, is studying problems in video analysis with applications in national and homeland security, commercial multimedia, and computational biology. The underlying approach of their research is to harness various methods in systems theory, signal processing, machine learning, mathematics and statistics to the analysis of images and videos in order to obtain an understanding of their content. This scientific understanding can lead to machine vision technologies that can provide an automated/semi-automated analysis of the 3D environment from images/ videos, analogous to the capabilities of biological visual systems. Currently, the group is focused on multi-agent autonomous camera networks, modeling and recognition of complex behaviors in video, and image-based modeling of biological gowth dynamics (specifically in plants). These research efforts have been funded by several grants from the National Science Foundation, Office of Naval Research, Army Research Office, DARPA, and private industries like CISCO and Lockheed-Martin.
 
 
VisLab undertakes research in computer vision, pattern recognition, image processing, machine learning, artificial intelligence, multimedia databases, robotics, man/machine interfaces, computer graphics, and visualization. Current projects are in video networks, image database, biologically inspired computation, biological/medical imaging and perception-based navigation and control.
 
 
Our lab focuses on cutting-edge research in wireless information technologies, such as wireless communications and networks, wireless sensing and imaging. The lab is equipped with modern test equipment and high speed internet, and situated in a new engineering complex. Those facilities provide necessary needs for our experimental, analytical, and simulation studies of wireless information technologies based on either baseband, or radio frequency, or optical waveforms as information carriers, as the lab logo indicates.
 
 

Other Research Labs

More Information 

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

Department Information

Electrical and Computer Engineering
Suite 343 Winston Chung Hall
University of California, Riverside
Riverside, CA 92521-0429

Tel: (951) 827-2484
Fax: (951) 827-2425
E-mail: E-mail/Questions

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