IEEE Green Energy and Smart Systems Conference
Long Beach, CA

IGESSC 2018

Call for Papers: IEEE Green Energy and Smart Systems Conference (IGESSC 2018)

Date: October 29-30, 2018

Location: Pyramid, CSULB, Long Beach, CA 90840, USA

The proposed conference intends to bring together researchers and practitioners from relevant fields to present and disseminate ongoing research for smart systems, sustainable and green energy technologies. This year the focus would be on Smart Systems, Engineering a Resilient, Sustainable, Secure, Optimized Power Grid with Battery, and Intelligent Transportation Systems.

Conference has the following topics:

Smart Systems

  • Smart Systems: Smart Building, Smart Campus, and Smart City
  • Communication, Networking, and Digital Signal Processing
  • Internet-of-things and Green Computation
  • Smart Grid and Big Data
  • Security cloud computing
  • Intelligent Transportation Systems

Green Energy and Power

  • Safe and Resiliency through Community-Scale Micro-Grids
  • Modeling Cyber-physical Smart Grids and Demand Response Management
  • Energy Storage, Fuel Cell Technologies, and Trends
  • Electrical Vehicles, Grid to Vehicle (G2V) and Vehicle to Grid (V2G)
  • Solar Power Systems, Energy and Water Management and Sustainability
  • Secure and Advanced Metering Infrastructure

Submission & Publication: All accepted papers in Technical Track will be published in IGESSC proceedings by IEEE. All submissions should be formatted according to the IEEE standard Word or Latex Template.

Technical Track:

Full paper (4-6 pages) submission deadline: July 23, 2018 (Mon)

Full paper acceptance notification: Aug. 20, 2018 (Mon)

Camera-ready version: Oct 15, 2018 (Mon)

Student Track for Poster Presentation Only (Not for publication in IEEE Xplore):

High quality research papers are encouraged to submit to Technical Track
Submission deadline for student paper for posters (2-4 pages): July 23, 2018 (Mon)
Acceptance notification: Aug. 20, 2018 (Mon)
Poster-Ready Version: Oct 15, 2018 (Mon)

1-day Workshop 10/30/2018 (Tu): Smart and/or Green Systems (Presentation and/or Hands-on only)

 

IGESSC 2018 Final Program

Conference – October 29, 2018 (Monday)

8:30 AM – 5:00 PM at The Pointe, Pyramid, California State University, Long Beach

Track A

Time Paper# Title – Authors Session Session chair
9:00 Keynote Why Energy Efficiency is Very Important and Its Tradeoff with Spectral Efficiency in Next-Generation Cellular Networks

– Ender Ayanoglu (University of California – Irvine)

9:50 AM 1570470879 Analyzing Performance of Balancing Compensators in a Three Phase Microgrid System

– Tracy Toups (California State University, USA); Allen Le (CSUS, USA)

Power Systems Hui Yuan
10:10  AM 1570479995 Symlets Techniques for Real Time Detection of Transients generated by HIF

– Sokhom Sim (CSULB, USA); Richard Bravo (SCE, USA)

Power Systems Hui Yuan
10:30 AM Break
10:45 AM 1570473641 A Comparison of Small Signal Stability of Type-3 and Type-4 Wind Units

– Arash Jamehbozorg (California State University Los Angeles, USA); Nasser Keshmiri (Innovative Solar Systems, LLC, USA); Masood Shahverdi (California State University, USA)

Power Systems Hui Yuan
11:05 AM 1570473870 Optimal Control of Photovoltaic Enabled Grid with Energy Storage System in Utility Side

– Yu Yang, Hen-Geul Yeh and Son Doan (California State University Long Beach, USA); Hannes Wegleiter (Graz University of Technology, Austria)

Power Systems Hui Yuan
11:25 AM 1570478749 Generic Simulation Framework for Grid-Connected Photovoltaic and Energy Storage Systems

– Bernhard Schweighofer, Armin Buchroithner and Hannes Wegleiter (Graz University of Technology, Austria); Yu Yang and Hen-Geul Yeh (California State University Long Beach, USA)

Power Systems Hui Yuan
11:45 AM 1570480031 Validation of Microgrid Models

– Eduardo H. Enrique (RRC Companies, USA)

Power Systems Hui Yuan
12:05 PM Lunch
12:35 PM Greeting Welcome by Dean of College of Engineering, CSULB

Dean Forouzan Golshani

 
12:45 PM Luncheon Speaker Multi-sensor Satellite Image Fusion, Data Merging, and Machine Learning  for Monitoring the Changing Urban Food-Energy-Water Nexus – Ni-Bin Chang (University of Central Florida, USA)
1:30 PM 1570479075 Energy management for microgrids using a reinforcement learning algorithm

– Rui Hu and Alexis Kwasinski (University of Pittsburgh, USA)

Power Systems Tracy Toups
1:50 PM 1570480103 Distributed Combined Emission-Economic Dispatch via Coalitional Integration of Wind Turbines

– Md Fahim Chowdhury (Tuskegee University, USA)

Power Systems Tracy Toups
2:10 PM 1570469505 Solar-Powered Microgrid Capacity Planning for a General Hospital

– Sasan Haghani (University of the District of Columbia, USA); Khashayar Mahani, Kien Chau and Mohsen Jafari (Rutgers University, USA)

Power Systems Tracy Toups
2:30 PM 1570469649 Sizing a Solar microgrid for an Indian village using MATLAB Optimization

– Lalitha Mahalingam (Analyst at Reconnect Energy & Past Graduate Student at University of Cambridge, India); Jaideep Prabhu (Jawaharlal Nehru Professor at the Judge Business School at the University of Cambridge, England.)

Power Systems Tracy Toups
2:50 PM Break
3:05 PM 1570478981 Short Term Demand Forecasting for Managing Demand Response Programs in Pakistan

– Neelam Mughees (National University of Computer and Emerging Sciences, Pakistan)

Power Systems Tracy Toups
3:25 PM 1570472552 Use of time series load data to size energy storage systems

– Yuko Yoshida (University of South Carolina & Metro-North Railroad, USA); Hernan Figueroa (Columbia University, USA); Roger A Dougal (University of South Carolina, USA)

Energy Storage Greg Smith
3:45 PM 1570474793 Vibration Based Energy Scavenging System for Battery Powered Sensor Networks

– Salim Masumdar, Mohammad Mozumdar and Fei Wang (California State University, Long Beach, USA)

Energy Storage Greg Smith
4:05 PM 1570478212 State of Charge Estimation of Sodium Ion Battery under different Operating Conditions

– Bibek Tiwari and Indranil Bhattacharya (Tennessee Technological University, USA)

Energy Storage Greg Smith
4:25 PM Student Poster Award, Best Paper Award, and Service Award Ceremony Chit-Sang Tsang,

Greg Smith

 

Track B

Time Paper # Title – Authors Session Session chair
9:50 AM 1570469561 Hazard Monitoring for Particle Swarm Motion of Autonomous Vehicles

– Shivangi Agarwal, Francesca Favarò and Nazanin Nader (San Jose State University, USA)

Smart

Systems

Chit-Sang Tsang
10:10 AM 1570478443 Design of Bubuchuan Smart Substation

– Yao Qinghua and Dong Linhui (Tangshan Power Supply Company State Grid Jibei Electric Power, P.R. China); Kang Jian (North China University of Science and Technology, P.R. China); Tan Jinwen (North China Electric Power University, P.R. China)

Smart

Systems

Chit-Sang Tsang
10:30 AM Break
10:45 AM 1570478494 Serial-Dependency Grouping-Proof Protocol for RFID EPC C1G2 Tags

– Vanya Cherneva (LSU, United States, USA); Jerry Trahan (Louisiana State University, USA)

Smart

Systems

Chit-Sang Tsang
11:05 AM 1570478495 Adaptive model predictive control based on the steady state constrained ARX model

– Yu Yang and Anthony Perez (California State University Long Beach, USA)

Smart

Systems

Chit-Sang Tsang
11:25 AM 1570481039 Comparison of Simulated Annealing and Greedy Optimizations for Controllable Loads

– Tuncer Haslak (Friedrich-Alexander University Erlangen-Nürnberg & Hof University, Germany)

Smart

Systems

Chit-Sang Tsang
11:45 AM 1570481661 Smart Street Light towards Energy Saving and Neighborhood Security

– Yuan Xu (Shenzhen Technology University, P.R. China); Tongsheng Tang and Yanghao Zheng (Shenzhen University, P.R. China); Kezhong Yang (Shenzhen Nephotonics Technology Co. Ltd, P.R. China); Zhiyong Xiao (Shenzhen Technology University, P.R. China)

Smart

Systems

Chit-Sang Tsang
12:05 PM Lunch
12:35 PM Greeting Welcome: Dean of College of Engineering, CSULB

Forouzan Golshani

 
12:45 PM Luncheon Speaker Multi-sensor Satellite Image Fusion, Data Merging, and Machine Learning for Monitoring the Changing Urban Environment

Ni-Bin Chang (University of Central Florida, USA)

 
1:30 PM 1570480086 Stabilization of SPMS Wind Generator With Boost Converter Using Backstepping Approach

– Khalid Alharbi & Roy McCann (U. of Arkansas, US)

Power Electronics Sean Kwon
1:50 PM 1570470630 Estimating Joint Torques of a Robotic Arm Based on Kinematics Using Neural Networks

– Roja Zakeri (CSULB, USA); Praveen Shankar (California State University Long Beach, USA)

Defense Systems Applications Sean Kwon
2:10 PM 1570470375 Space-Time Parallel Cancellation Orthogonal Frequency Division Multiplexing in Power Line Systems

– Ali Fadaei Tehrani and Hen-Geul Yeh (California State University Long Beach, USA)

Communications & Digital Signal Processing Sean Kwon
2:30 PM 1570470902 Cooperative Algorithms in Adaptive Signal Processing

– Sammuel Jalali (California State University, Long Beach, USA)

Communications & Digital Signal Processing Sean Kwon
2:50 PM Break
3:05 PM 1570475671 A Downlink Multiuser MIMO OFDM Decomposition Method in Frequency Selective Fading Channels

– Ning Kong (UCSD, USA); Zhensheng Zhang (UCLA, USA); Hen-Geul Yeh (CSULB, USA); John Cartelli (Northdrop Grumman, USA)

Communications & Digital Signal Processing Sean Kwon
3:25 PM 1570478222 An Uplink Multiuser MIMO Decomposition without Feedback/Precoding for Frequency Flat Fading Channels

– Ning Kong (UCSD, USA); John Cartelli (Northdrop Grumman, USA); Patrick Fitzsimmons (UCSD, USA); Hen-Geul Yeh (CSULB, USA)

Communications & Digital Signal Processing Sean Kwon
3:45 PM 1570480054 Capacity of Polarized-MIMO (P-MIMO) System in Different Wireless Channels

– Seungcheol Oh (California State University Long Beach, USA); Seok-Chul Kwon (California State University – Long Beach, USA)

Communications & Digital Signal Processing Sean Kwon
 

 

 

 

Workshop – October 30, 2018 (Tuesday)

8:30 AM – 5:00 PM at Engineering and Computer Science (ECS) 312, California State University, Long Beach

http://sites.ieee.org/clas-sysc/program/

Time Workshop Presentation Title Session Session Chair
9:00 AM 1 Smart Inverters/converters overview

– Richard J. Bravo (Southern California Edison, USA)

Power Systems Masoud Nazari
9:35 AM 2 Electricity Storage in Utility Applications

– Nagy Y. Abed (Southern California Edison, USA)

Power Systems Masoud Nazari
10:10am Break
10:20 AM 3 Clean Air Action Plan 2017 Update – Supporting Green Energy & Smart Systems

– Morgan Caswell (Long Beach Port, USA)

Smart Systems Masoud Nazari
10:55 AM 4 Pulse Cloud, Aggregating Real-time Geospatial Traffic Data

– Boyd Wilson (Omnibond Systems, USA)

Smart Systems Masoud Nazari
11:35 AM 5 Internet of Things for Smart Buildings Energy Management

– Masoud Nazari (CSULB, USA)

Smart Systems Masoud Nazari
12:15 PM Lunch
1:00 PM 6 Deep Learning using MATLAB, Part 1: Demystifying deep learning: A practical approach in MATLAB

– Sumit Tandon (MathWorks, USA)

Smart Systems Henry Yeh
3:30 PM Break
3:45 PM 7 Deep Learning using MATLAB, Part 2: What’s New in MATLAB for Teaching, Learning and Research

– Sumit Tandon (MathWorks, USA)

Smart Systems Henry Yeh
4:15PM 8 Deep Learning using MATLAB, Part 3: Open Q &A

– Sumit Tandon (MathWorks, USA)

Smart Systems Henry Yeh

 

Keynote Speaker:

Why Energy Efficiency is Very Important and Its Tradeoff with Spectral Efficiency in Next-Generation Cellular Networks

Abstract:

In this talk, we will first discuss the importance of energy efficiency (EE) in next-generation multi-cell heterogenous networks (HetNets). We will than discuss the tradeoff of EE and and spectral efficiency (SE) in multi-cell HetNets. Our objective is to maximize both EE and SE of the network while satisfying the rate requirement of users. We use multi-objective optimization techniques to define the objective function. We propose a three-stage algorithm. First, we select the cell-center radius for the fractional frequency reuse (FFR) method. Second, we assign the frequency resources to satisfy the rate requirements of users and maximize the objective function. Third, the power allocation subproblem is solved by using the Levenberg-Marquardt method. Our numerical results show that a Pareto-optimal solution exists for EE and SE. We present results for different rate constraints.

 

Speaker’s Biography:

Ender Ayanoglu

Ender Ayanoglu received the M.S. and Ph.D. degrees from Stanford University, Stanford, CA in 1982 and 1986, respectively, in electrical engineering. He was with Bell Laboratories Holmdel, NJ until 1999.

From 1999 until 2002, he was a Systems Architect at Cisco Systems, Inc., San Jose, CA. Since 2002, he has been a Professor in the Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, where he served as the Director of the Center for Pervasive Communications and Computing and held the Conexant-Broadcom Endowed Chair during 2002- 2010. From 1993 until

2014 Dr. Ayanoglu was an Editor, and since January 2014 is a Senior Editor of the IEEE Transactions on Communications. He served as the Editor-in-Chief of the IEEE Transactions on Communications from 2004 to 2008.  Since 2017, he is serving as the founding Editor-in-Chief of the IEEE Transactions on Green Communications and Networking. From

1990 to 2002, he served on the Executive Committee of the IEEE Communications Society Communication Theory Committee, and from 1999 to 2001, was its Chair. Dr. Ayanoglu is the recipient of the IEEE Communications Society Stephen O. Rice Prize Paper Award in 1995 and the IEEE Communications Society Best Tutorial Paper Award in 1997. He has been an IEEE Fellow since 1998.

Greetings:

Welcome by Dean of College of Engineering, CSULB

Dean Forouzan Golshani

Dr. Forouzan Golshani is the Dean of CSULB College of Engineering. A Fellow of National Academy of Inventors and IEEE, Dr. Golshani holds a dozen U.S. and international patents and is the founder of three successful companies. He has authored over 200 articles, and served as Editor-in-Chief and board member of several scientific publications, including IEEE MultiMedia and IEEE Transactions on Multimedia. Previously he held positions at Arizona State University, Wright University and Imperial College in London, UK.

A former Advisor to the Costa Rica Ministery of Science and the President of Technologica de Costa Rica, Dr. Golshani has served in senior management and technical consulting positions at a number of well-known corporations, including Honeywell, Intel, Bull Worldwide Systems, McDonnell Douglas Helicopter, Motorola, and Sperry.

Currently, he serves on California Assembly’s Aerospace Advisory Council and Board of Directors of Greater Long Beach YMCA. He is the recipient of the 2010 Distinguished Dean award from the LA Council of Scientists and Engineers and the 2009 Distinguished Engineering Educator from the Orange County Engineering Council as Distinguished Engineering Educator.

Luncheon Speakers:

Topic: Multi-sensor Satellite Image Fusion, Data Merging, and Machine Learning  for Monitoring the Changing Urban Food-Energy-Water Nexus

Abstract and Bio:

The Earth’s total surface area is made up of various flow regimes of reservoirs, bays and lakes as well as soil environment, which are considered important natural resources for the maintenance of ecosystem integrity and human consumption. As the condition of environment deteriorates throughout the world, it necessitates the scientific work of monitoring environmental quality in response to its dynamic changes of quality status or flow conditions and feedbacks to our society. For this purpose, satellite remote sensing techniques with multiple in-situ ground-based sensors may be applied to collectively capture a much larger spatial coverage within relatively short time periods through various traditional or non-traditional algorithms. To improve the overall efficiency there is a tradeoff in spectral, spatial and temporal resolution of different sensors when monitoring the changing environment at the ground level from space. The goal of this presentation is to introduce the latest forefronts in the field and demonstrate green, smart, and sustainable management of our changing Earth environment by integrating multi-sensor satellite image fusion, data merging, and machine learning – an emerging area of importance in systems science and engineering. It demonstrates how the optical and microwave remote sensing can work together to detect the minute changes at the ground level of the Earth. The following scientific questions are explored in this study: (1) Are fused image reflectance bands and machine-learning techniques able to accurately carry out the estimation of target environmental quality parameters under different challenges? (2) Is it feasible to have an integrative and innovative process for updating the urban environmental condition for early warning?

 

NSF project summary of my recent NSF proposal titled “CBET-EPSRC: Integrating Multi-Sensor Data Merging and Fusion with Intelligent Feature Extraction for Predicting PM2.5 Concentrations in Complex Urban Regions“.

Ni-Bin Chang received his B.S. degree in Civil Engineering from National Chiao-Tung University, Taiwan in 1983, and his M.S. and Ph.D. degree in Environmental Systems Engineering from Cornell University, USA in 1989 and 1991, respectively.  He joined the University of Central Florida (UCF) in 2005. At UCF he has been conducting highly interdisciplinary research in Sustainable Systems Engineering. His research interests are related to environmental sensing, monitoring, and modeling with the aid of sensor networks, cyberinfrastructure, and informatics for environmental sustainability and ecosystem conservation. He has over 250 journal publications, 9 books, 11 special issues of academic journals, and 9 United States patents. He served as a plenary speaker for several conferences. He is the Editor-in-Chief of the Journal of Applied Remote Sensing, and an associate editor of the IEEE Systems Journal. He served the general chair of 2014 IEEE International Conference on Sensing, Networking and Control and 2014~2018 SPIE Conference of Remote Sensing and Modeling of Ecosystems for Sustainability. He is the vice chair of the Executive Committee of the IEEE Environmental Engineering Committee. He was the recipient of nearly 40 awards/honor, including the Distinguished Visiting Fellowship from the Royal Academy of Engineering, United Kingdom, Fulbright Scholar Award in the USA/Germany, Bridging the Gaps Award from Engineering and Physical Sciences Research Council (EPSRC) in United Kingdom, Outstanding Achievement Award (ASCE) in the USA, and the Blaise Pascal Award from the European Academy of Science. He is Fellow of the American Association for the Advancement of Science (FAAAS), the American Society of Civil Engineers (FASCE), the Institute of Electrical and Electronics Engineers (FIEEE), the International Society of Optics and Photonics (FSPIE), the Royal Society of Chemistry (FRSC) in the United Kingdom, and the European Academy of Sciences (FEASc). From Aug. 2012 to Aug. 2014, he worked as a program director of the Cyber-enabled Sustainability Science and Engineering (CyberSEES) program and the Hydrologic Science Program at the National Science Foundation in the USA.

 

Workshops:

Topic: 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.

Biography:

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: 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).

Biography:

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.

 

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

Abstract:

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.

 

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.

Biography:

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: 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.

Biography:

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: 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

Topic: 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

 

Biography:

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.