About
Industrial Collaboration and Training Environment
The SyGMA lab fosters collaborations between industry, faculty and students at UCSD. The lab is a show case for industrial software (OSIsoft, NI) and research at UCSD. Visitors can experience the data acquisition in action, while students that participate in the lab or take classes in signal processing can use the OSIsoft PI servers for data acquisition. As such, the SyGMA lab provides a training environment for partners and students to work with PMUs and become familiar with the OSIsoft software for data acquisition and data management. The location of the lab at SDSC ensures that data is stored at a secure location, and SDSC also promotes joint academic and industrial proposals to fund research in the area of (smart)grid and microgrid control initiatives with the SyGMA laboratory.
The SyGMA lab is located on the 2nd floor of San Diego Supercomputer Center (SDSC) at the University of California San Diego (UCSD), with its main office in room 241E.
For directions please search for SDSC on the UCSD campus map. Parking is best at the Hopkins garage next to SDSC.
Management
Raymond de Callafon
The Synchrophasor Grid Monitoring and Automation (SyGMA) laboratory is directed by Prof. Raymond de Callafon, a full Professor with the Dept. of Mechanical and Aerospace Engineering (MAE) at the University of California, San Diego (UCSD). He directs the System Identification and Control Laboratory at the Dept. of MAE and the Sychrophasor Grid Monitoring and Automation Laboratory at the San Diego Supercomputer Center (SDSC). He is also an affiliated faculty to the Center for Magnetic Recording Research (CMRR) and the Cymer Center for Control Systems and Dynamics (CCSD).
Previous Students
Sai Akhil Reddy
Sai Reddy is a PhD Candidate at University of California San Diego, studying controls and dynamics of systems (ex: electrical, mechanical, big-data). Few of his areas of passion are: system modeling, signal analysis and advanced control theory. At SyGMA lab at SDSC, he contributes in developing tools for identification, modeling, estimation and prediction using large and complex sets of real-time data, also called as "BigData". His vision is to solve real life problems in the fields of science, technology and business management using various scientific approaches and advanced algorithms. At LIGO-Caltech, Sai worked along with Prof. Rana Adhikari whose advisor, the famous Prof. Rainer Weiss won the Nobel prize in physics for the breakthrough in Gravitational wave discovery in 2017.
Abdulelah Habib
Abdulelah Habib is currently a Ph.D. candidate at UC San Diego at the Solar Resource Assessment & Forecasting Laboratory and The Synchrophasor Grid Monitoring and Automation (SyGMA) lab. Prior to joining UC San Diego, Habib held a Research Associate position at the Center for Complex Engineering Systems (CCES) at KACST and MIT. Habib graduated with honors from King Fahd University of Petroleum and Minerals (KFUPM) with a B.Sc in control and instrumentation system engineering. He then received an M.Sc in electrical engineering from King Abdullah University of Science and Technology (KAUST) where he specialized in Signal Processing and Communication as well as Renewable Energy. Habib has been working with Solar Turbines to help in microgrid models and implementation since May 2017. Habib is an ambitious energy researcher and entrepreneur seeking to improve the power system by optimizing and integration of renewable resources and storage. His strong experience in modeling renewable power system applications obtained through research and industry positions. He is a nature adventure seeker and scuba diver certified. He enjoys all kinds of sports including soccer, basketball and beach volleyball.
Amir Valibeygi
Amir has been a PhD student at UC San Diego working at the Synchrophasor Grid Monitoring at Automation (SyGMA) Lab since 2015. His current research areas include microgrid control and scheduling, optimization, and control over networks. Previously, he obtained his MSc in Mechatronic System Engineering from Simon Fraser University in 2015 and his BSc in Mechanical Engineering from Amirkabir University of Technology in 2013. His past research areas include optimal filtering and estimation and adaptive regulation.
Xin Zhao
Xin Zhao was a graduate student with Department of Mechanical and Aerospace Engineering (MAE), University of California San Diego (UCSD). His research interests were control-oriented system identification and optimization algorithms for real-time control. During his doctorate program, he worked on extensive research on modeling and control of Electrical Energy Storage and Delivery System (EESDS). In particular, his research included system identification of EESDS through various modeling approaches, active control for mitigation of power flow fluctuations, and power scheduling for distributed EESDS. Previously, Xin graduated with a bachelor and a master degree from Department of Automotive Engineering, Tsinghua University, Beijing, China.