IEEE Green Energy and Smart Systems Conference
Long Beach, CA


Topic: Smart Inverters/converters overview

Abstract: The implementation of solar Photovoltaic Inverters as a means of generation has been growing exponentially in California. Solar PV generation was less than 100 Mega-watts before 2009 to several thousands of megawatts by 2018. This rapid increment of solar PV inverter generation had the need for smart features on solar PV inverters to minimize their impacts on the grid furthermore to provide support during grid emergencies. This talk will cover the solar PV inverter standards upgrades needed for high penetration levels as well how smart inverter features can support the electric grid. Additionally, will cover both laboratory and field experiences with solar PV generation.


Richard J. Bravo is a senior engineer with Southern California Edison’s Advanced Technology group. Bravo has worked on various projects in distribution system, including the upgrade of motor control centers (MCC), control systems upgrades for pipelines, Fault Induced Delayed Voltage Recovery (FIDVR), SCE satellite communications, dynamic performance of residential and commercial loads, SCE’s solar PV inverter generation performance. Bravo has supported the solar PV standards such as: California Rule 21, IEEE-1547 and UL-1741. He also have worked with the Western Electricity Coordinating Council (WECC) in the development of computer models for system planning studies. Bravo earned his master’s and Bachelor of Science degrees in electrical engineering from California State University at Long Beach. He earned a Power Systems Sequential Program certificate from the University of California at Los Angeles and holds a professional engineer license in electrical engineering from the State of California.


Topic: Electricity Storage in Utility Applications

Abstract: The adaption of energy storage as a means of generation has been growing exponentially in California. The increase penetration of Solar PV and wind generation has major impacts on grid management.  . Energy storage is key to maximize the benefits of renewables and ensure that their integration leads to a reliable and affordable electricity supply. In October 2013, the California Public Utilities Commission (CPUC) adopted a 1,325 megawatts (MW) procurement mandate for electricity storage by 2020, with targets increasing every two years between 2016 and 2020. An additional four laws were adopted in 2016 to increase and help reach this initial goal.

This talk will cover the current energy storage technologies, their characteristic and their impact on the bulk power system operation and control.


Nagy Y. Abed is a senior engineer with Southern California Edison’s Advanced Technology group. Nagy has more than 15 years of industry experience in power system planning, renewable integration, Smart Grid, Electromagnetic Transient studies, power system operation and control, real time simulations with Hardware in the loop for control and protection devices and application of energy storage to bulk power system operation. Nagy has published a more than 70 articles and technical papers in refereed Journals and Conference Proceedings in the areas of power system analysis, power electronics, protection, modeling, renewable energy, fault diagnosis, power quality, power system security and real time control with hardware in the loop (HIL). He also author chapter on Electric Power Networks in the 4th edition of McGraw Hill Handbook of Electric Power Calculations. He is a senior member of IEEE and reviewer for IEEE transactions and conferences. He is a registered professional engineer in the States of Iowa. Dr. Abed is an Adjunct Professor at California State University-Los Angles.  He received the B.S. degree in electrical and electronics engineering from Mansoura University, Egypt, in 1995 and the M.S. degree in electric power engineering from Mansoura University, Egypt, in 1999 and the Ph.D. degree in electrical engineering from Florida International University (FIU), Miami, in 2007.

Topic: CAAP 2017 Update – Supporting Green Energy & Smart Systems


The Port of Long Beach (Port) is the nation’s second busiest container seaport and a leader in environmental sustainability. In November 2017, the Port of Long Beach in conjunction with the Port of Los Angeles adopted the San Pedro Bay Ports Clean Air Action Plan (CAAP) 2017 Update, which builds upon previous successful efforts to help the region reduce air emissions and support the statewide vision for more sustainable freight movement. The strategies in the 2017 Update are some of our boldest yet, and will require significant investment in green technology. This presentation will cover the CAAP strategies and the associated challenges of implementation. In addition, the presentation will describe two multi-million dollar demonstration projects under way, including deployment of groundbreaking technology such as repowered, all-electric rubber tire gantry cranes and automated charging solutions.


Morgan Caswell is an Environmental Specialist Associate for the Environmental Planning Division at the Port of Long Beach. She is responsible for managing multi-million dollar, grant funded, demonstration projects which aim to reduce port-related emissions through deployment of advanced technology solutions. In addition, her duties include supporting the joint Port of Long Beach and Port of Los Angeles Technology Advancement Program, implementation of the Clean Air Action Plan, and development of innovative projects and programs to reduce air emissions from ships, locomotives, trucks, cargo handling equipment, and harbor craft. Morgan holds a B.S. in Environmental Science and a minor in Molecular and Cell Biology from the University of Connecticut. She also has a Master of Public Health, with a concentration in Environmental Health Sciences, from the University of California, Los Angeles.

Pulse Cloud, Aggregating real-time geospatial traffic data

Abstract: This talk will give a history and overview of the Pulse Cloud how it was architected from the ground up with scalable cloud technologies.   A discussion of the benefits of aggregation and cross agency data aggregation can help provided an integrated view of traffic and other pertinent data.   This can lay a foundation for understanding of how to improve and mitigate traffic and congestion, providing a more livable and breathable environment.

Boyd Wilson, CEO of Omnibond Systems has extensive experience and leadership in the areas of software development, system administration, storage architectures and business models.  Formerly Boyd has served as Software CTO and also Executive Director over computing operations at Clemson University and had research computing as part of his purview. He has participated in various academic grants, papers and workshops in the areas of parallel storage, cloud computing and computational infrastructure.  Boyd’s current focus lies in 4 areas: first, computer vision, AI, and real-time traffic analytics with TrafficVision; second high performance computing and storage with CloudyCluster and OrangeFS; third, identity and security management; fourth, wake surfing and riding a boosted board around cities while traveling.

Topic: Deep Learning using MATLAB

Part 1: Demystifying deep learning: A practical approach in MATLAB (2.5 hours)

Are you new to deep learning and want to learn how to use it in your work?   Deep learning can achieve state-of-the-art accuracy in many humanlike tasks such as naming objects in a scene or recognizing optimal paths in an environment.  The main tasks are to assemble large data sets, create a neural network, to train, visualize, and evaluate different models, using specialized hardware – often requiring unique programming knowledge. These tasks are frequently even more challenging because of the complex theory behind them. In this seminar, we’ll demonstrate new MATLAB features that simplify these tasks and eliminate the low-level programming. In doing so, we’ll decipher practical knowledge of the domain of deep learning.  We’ll build and train neural networks that recognize handwriting, classify food in a scene, classify signals, and figure out the drivable area in a city environment.

Along the way, you’ll see MATLAB features that make it easy to:

  • Manage large sets of images
  • Create, analyze, and visualize networks and gain insight into the black box nature of deep networks
  • Perform classification tasks on images and signals,  and pixel-level semantic segmentation on images
  • Import training data sets from networks such as GoogLeNet and ResNet
  • Import and use pre-trained models from TensorFlow Keras and Caffe
  • Speed up network training with parallel computing on a cluster
  • Automate manual effort required to label ground truth
  • Automatically convert a model to CUDA to run on GPUs
Part 2: What’s New in MATLAB for Teaching, Learning and Research (30 min)

In the past few years, MATLAB has evolved significantly to incorporate features to support the latest technology trends like Deep Learning, Big Data, Internet of Things, etc., while becoming easier to use through features like interactive APPs and automatic code generation. Additionally, there are a lot of resources to support the use of MATLAB in curriculum, such as tools for auto-grading MATLAB-based assignments, online training, courseware, interactive notebook and support for project-based learning.

Please join us in this short session to learn about the latest in MATLAB for teaching, learning and research.

Highlights include:

  • Information about the new MATLAB license for the CSU System
  • New tools and resources for MATLAB in the classroom
  • New features and resources for MATLAB in research
 Part 3: Open Q &A (30 min)

MathWorks representatives will be available for 30 mins to answer your questions. Feel free to bring any technical or licensing related questions you may have.

Sumit Tandon is a Senior Customer Success Engineer at MathWorks, and has been guiding MATLAB users in the industry and academia for almost 11 years. In his current role he partners with universities on the most effective use of MathWorks products for curriculum and research. He in an Electrical Engineer by training, with a background spanning image processing, computer vision, embedded systems, data analytics and high-performance computing.

Title: Internet of Things for Smart Buildings Energy Management

Abstract: In this seminar, I will discuss about our on-going project by California Energy Commission to perform a large-scale demonstration and extensive assessment of an innovative energy management system based on internet of things (IoT) and ubiquitous sensing and control. This project proposes a framework for transforming existing buildings into smart infrastructures with high energy efficiency objectives and demand response capability. The proposed smart building design will significantly drive down energy costs, while improving occupant comfort and system reliability. The design process is done for the Engineering and Computer Science (ECS) building at California State University, Long Beach (CSULB).



Dr. Masoud Nazari Bio:

Dr. Masoud Nazari is an Assistant Professor of Electrical Engineering at California State University, Long Beach (CSULB). His background is in smart builds, smart grids, and autonomous systems. Prior to joining CSULB, he was a Post-Doctoral Fellow in Electrical Energy at the Georgia Institute of Technology. He received his PhD from Carnegie Mellon University in 2012. He was also a visiting PhD student in the Engineering Systems Division Department at the Massachusetts Institute of Technology in 2010. Dr. Nazari has over thirty publications in the field, including the best paper award in the 2017 North American Power Symposium. He is the lead primary investigator of a $2.5M project by California Energy Commission.



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