Remaining Challenges for Designs with High Power Wide Bandgap Power Devices: A Circuit Perspective 🗓

— GaN and SiC converters, introduction, challenges, gate drive, reflective waves, electromagnetic interference …

register
Webinar Date: Tuesday, September 3, 2019
Time: 8:00 AM (PT)
Speaker: Dr. Jin Wang, Ohio State University
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: www.ieee-pels.org
Summary: The talk will focus on high-power applications of Gallium Nitride (GaN) and Silicon Carbide (SiC) devices. It will start with a brief introduction of examples of state-of-the-art high-power GaN and SiC converters. Then, common challenges that are faced by both GaN and SiC devices including gate drive designs, high dv/dt-caused reflective waves, electromagnetic interference, partial discharge, etc. will be discussed. Specific challenges for the implementation of SiC in medium- and high-voltage applications will also be discussed.
Bio: Jin Wang received his Ph.D. from Michigan State University, East Lansing, in 2005. From Sept 2005 to Aug 2007, he worked at the Ford Motor Company as a Core Power Electronics Engineer. He joined the Ohio State University in 2007 as an Assistant Professor and was promoted to Associate Professor in 2013 and Full Professor in 2017. His research interests include wide bandgap power devices and their applications, high-voltage and high-power converter/inverters, integration of renewable energy sources, and electrification of transportation. Dr. Wang has over 180 peer-reviewed journal and conference publications and 8 patents. Dr. Wang received the IEEE Power Electronics Society Richard M. Bass Young Engineer Award and the National Science Foundation’s CAREER Award in 2011. At The Ohio State University, Dr. Wang received the Ralph L. Boyer Award for Excellence in Undergraduate Teaching Innovation in 2012, the Lumley Research Award in 2013 and the Harrison Faculty Award for Excellence in Engineering Education in 2017. Dr. Wang served as the General Chair and the Steering Committee Chair for the IEEE Future Energy Challenge in 2016 and 2017, respectively. Dr. Wang had been an Associate Editor for the IEEE Transactions on Industry Applications from 2008 to 2014. Currently, Dr. Wang serves as an Associate Editor for the IEEE Transactions on Power Electronics and the IEEE Journal of Emerging and Selected Topics in Power Electronics (J-ESTPE).

Power-Dense High-Efficiency Engine-Coolant-Capable 200 kW Silicon Carbide Inverter for Heavy-Duty Vehicles 🗓

— US DOE, dual-inverter, 200 kW, 1050 VDC, 115C coolant, front loader vehicle, real-world application …

register
Webinar Date: Wednesday, September 18, 2019
Time: 8:00 AM (PT)
Speaker: Dr. Brij Singh, senior staff engineer, John Deere Inc.
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org/
Summary: This presentation will discuss public information related to a John Deere project funded by the US Department of Energy’s PowerAmerica Institute at North Carolina State University, Raleigh. Through PowerAmerica, John Deere has formed a collaboration with researchers from the US Department of Energy National Renewable Energy Laboratory to develop a 200 kW 1050 VDC silicon carbide (SiC) dual-inverter. The SiC inverter converts vehicle engine power into electrical power needed for the permanent-magnet-motor based power-train used in heavy-duty construction and mining vehicles. The presentation will cover development and test verification of various technologies deployed in the successful realization of a power-dense (greater than 40 kW/Liter) high-temperature (suitable for 115C coolant) high-efficiency (greater than 98% over entire range of coolant) SiC dual-inverter. Test results from various generations of the SiC inverter will be presented. In April 2017, the Fargo, North Dakota-based John Deere Electronic Solutions (JDES) successfully demonstrated the SiC inverter in a John Deere 644K hybrid front loader vehicle, using the engine radiator fluid to cool the SiC power electronics. The SiC inverter technology demonstration took place at John Deere Dubuque Works (JDDW) in Dubuque, Iowa. Since then this SiC inverter has been operating on vehicles resulting in over 2,000 hours experience from real-world application of SiC power electronics technology. The DOE-PowerAmerica funding has greatly helped John Deere to accelerate the development of SiC inverter technology including the realization of key commercialization objectives.
Bio: Brij N. Singh is a senior staff engineer in John Deere Inc., USA and leading the US Department of Energy – PowerAmerica (DOE-PowerAmerica) funded project to develop a 200 kW SiC inverter for heavy-duty vehicle applications. Brij has earned Ph.D. degree in Electrical Engineering from the Indian Institute of Technology, New Delhi, India, in 1996. In 1996, Brij joined the École de Technology Supérieure, Université du Québec, Montreal, QC, Canada, as a Post-Doctoral Fellow. In 1999, Brij joined Concordia University, Montreal, QC, Canada as a Research Fellow. In 2000, Brij joined the Department of Electrical Engineering and Computer Science, Tulane University, New Orleans, Louisiana, as an Assistant Professor. In 2007, Brij joined John Deere in Fargo, North Dakota as a power electronics staff engineer. In Tulane, Brij received numerous teaching awards for outstanding instructions in electrical engineering. In John Deere, Brij received numerous awards for product and technology innovations and team collaboration activities. Brij has published over 90 research papers in various Journals including IEEE Transactions and IET Journals. Brij has 22 US patents, one trade secret, and numerous pending patents. Brij’s scholarly work and publications have been cited by his peers over 6000 times. Brij is a senior member of the IEEE.

vTools & Collabratec Training 🗓

register
Webinar Date: Jun 19, 2019
Time: 5:00 PM (PT)
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: Register
Summary: This IEEE volunteer tools (vtools) site [http://http://sites.ieee.org/vtools/] provides information on a wide range of tools developed by volunteers for IEEE members and IEEE volunteers. The toolbox simplifies organizational efforts and administration by offering web-based software in order to reduce time spent on managing local activities and to assist in member development.

The Evolution of the Smart Grid 🗓

— underlying causes, changing technologies, business models, adverse effects, disruptions, evolution …

register
Webinar Date: Thursday, January 10, 2019
Time: 8:00 AM (PT)
Speaker: Steven E. Collier, Director, Smart Grid Strategies
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: Carl Sagan said, “You have to know the past to understand the present”. Most everyone knows something about the emerging smart grid. However, not everyone knows the whole story about how and why the smart grid began. It is not only fascinating, but also useful to understand the underlying causes that led to the emergence and continuing development of a smart grid. It’s all about changing technologies and business models. For a variety of reasons, the foundations of the century old legacy electric grid began to erode in the 1970s during the aftermath of the OPEC oil embargo. Longstanding favorable economics, acceptable reliability, stable monopoly business model, and standard utility operations were adversely affected. During this time, disruptive new technologies began to emerge to produce, store, and manage energy, both on the supply side and the demand side. New business models and new market participants emerged as well. The smart grid will continue to evolve as technology and business models continue to change.
Bio: Steve Collier writes, speaks and consults widely on issues and technologies related to the smart grid. He has worked for more than forty years as a professional engineer, executive, consultant, board member for energy, telecommunications, and consulting companies in the US and abroad, including Houston Lighting & Power, Power Technologies, Inc., Sandia National Labs, C. H. Guernsey & Company, Cap Rock Electric Cooperative, the Institute for Management Development and Change, Util-LINK LLC, and the National Rural Telecommunications Cooperative. He has BS and MS degrees in electrical engineering from the University of Houston and Purdue University respectively. He has served as chairman of the IEEE IAS Rural Electric Power Committee, a member of the board of directors of IAS, chairman of the IEEE Smart Grid Education and Operations Committees.

Smart Buildings: Approaches to Promoting Reliability of Smart Grid 🗓

— demand-response, incentives, large office buildings, loads, self-healing, resource-responsive …

register
Webinar Date: Thursday, January 31, 2019
Time: 10:00 AM (PT)
Speaker: Dr. Raj Gopal, Smart Buildings and Smart Grid, Research Studies, Sustainable Energy and Smart Grid
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: To ensure meeting the reliability goals of the Smart Grid, Demand Response programs are offered by electric power utilities with incentives to participating customers in order to match power generation to demand and prevent network instability during peak demand periods. According to the Energy Information Administration’s (EIA) 2012 commercial building energy consumption survey (CBECS), large office buildings in the USA with floor area > 9,000 m2 consume annually 180 billion kWh. This comprises of HVAC (cooling 17%, ventilation 25%), lighting (17%) and plug loads comprising of computers, monitors, printers, servers and other electrical loads associated with occupant productivity (17%) and the rest miscellaneous loads. These loads mostly occur, given the occupancy schedule, during the on-peak periods for a summer peaking utility. The need to address Automatic Fault Detection, Diagnosis and System Restoration (AFDDS) becomes important when implementing demand response (DR) strategies whether it is price responsive or resource responsive in office buildings. Should faults occur in the building HVAC system, the kWh energy consumption and KW demand will increase negating the objectives of the Demand Response program. This presentation will cover: definitions for Smart Building HVAC System; Smart Building Facility Management System (SBFMS) Architecture; development of algorithms for AFDDS for an example HVAC system with self-healing and resiliency feature and discuss the results of ‘Smart Voice Activated Speaker’ experiments with lighting and Plug loads and opportunities for its integration with SBFMS.
Bio: Dr. Raj Gopal’s current interest is performing Research Studies as a R&D Specialist in Sustainable Energy and Smart Grid. He is a member of ASHRAE and IEEE. He has served in ASHRAE Energy Calculations and Building Operations Dynamics technical committees, as a member of Standards Committee on Liquid Chilling Packages and as a Forum Chairman on Demand Side Management (DSM). His work experience includes working as a Scientist for a leading Building Automation System company and as a DSM engineer for leading Electric Power utilities and as a full time Consultant for Building Automation System companies. He has taught HVAC, Heat Transfer and Thermodynamics at UW Milwaukee and Milwaukee School of Engineering and holds patents in Thermal Energy Storage and Solar Energy. Has published and presented papers in peer reviewed conferences and publications including presentations on Smart Buildings as the main speaker at UW Madison’s ‘Wednesday Nite@the Lab’ lecture series in December 2017 and at ASHRAE Madison Chapter meeting in September 2018. Also served as an Editor for ASME’s Symposium volumes on “Heat Transfer in Energy Conservation” and “Energy Conservation in Building HVAC Systems”. He has worked for 4 years as a Maintenance Engineer for a Multinational company. Dr. Gopal has a Ph.D. in Mechanical Engineering from the University of Akron and MS from IIT Madras, India.

A Reliable Grid is a Smart Grid 🗓

— design, redesign, tech advances, integration, rel principles, machine learning, monitoring …

register
Webinar Date: Thursday, December 20, 2018
Time: 10:00 AM (PT)
Speaker: Alan M Ross, Vice President of Reliability, SD Myers
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: The application of Reliability Engineering disciplines and principles provides a unique perspective to a Smart Grid. In this webinar we will look at how technology, UIoT, Machine Learning and Condition Based Monitoring can positively affect the long-term reliability of the Grid.
While reliability engineering starts at the design phase for asset management decisions, an even greater impact will be on the system those assets comprise. For the most part we are redesigning systems, not designing from scratch, adding technological advances while integrating wide-scale DER and DR into the grid.
Bio: Alan Ross is the Vice President of Reliability for SD Myers. He is a credentialed reliability professional with both the CMRP and CRL certifications and is a member of the IEEE Reliability Society. Alan Is the Chair of the Smart Grid working group for SMRP and the Electrical Power Reliability Summit and on the Planning Committee and Keynote speaker for the Comet Conference. He is a dynamic and frequent presenter or keynote speaker at NETA, Comet, EPRS, SMRP Conference and Symposium, Marcon, Reliability Conference, AIST, IMC and numerous Muni/CoOp regional organizations. Alan has published frequently in AIST Journal, Plant Engineering, Solutions Magazine, Uptime Magazine and on the blog Transformer Reliability, and numerous white papers on the adoption of new technology, reliability and leadership.

Advanced Safety Architecture for Automotive Systems 🗓

— critical components, brakes, steering, redundancy, Steer-By-Wire, Brake-by-Wire …

register
Webinar Date: Thursday, December 13, 2018
Time: 11:00 AM (PT)
Speaker: Ramakrishnan Raja, Halla Mechatronics
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: www.ieee-pels.org
Summary: This presentation gives a review of various advanced system architectures deployed for safety-critical components such as brakes and steering. The presentation talks about various type of redundant architectures deployed for autonomous driving conditions. It also discusses about advantages and disadvantages of such architectural changes. An overview of advanced controls strategy for Steer-By-Wire and Brake-by-Wire will be discussed in this presentation.
Bio: Ramakrishnan Raja received his B.Sc. degree from Amrita Institute of technology, India in 2003 and Master’s Degree in electrical engineering from New Jersey Institute of Technology in 2005. He received his Ph.D. degree in automotive system engineering from the University of Michigan-Dearborn. From 2004-2013 he has been working for Delphi steering and Nexteer automotive as Senior Electrical Engineer. Currently he is working at Halla Mechatronics as Chief Scientist-Controls. He is responsible for motor drive control for various automotive applications. His research interests includes electrical machines and variable speed drives including sensorless motor control drives.

Vehicle Cyber Security: Where the Rubber Meets the Code 🗓

— (IEEE TransElectrification) – safety, entertainment, navigation, autonomous driving, threat vectors, state of security, issues to be addressed …

register
Webinar Date: Wednesday, October 17, 2018
Time: 8:00 AM (PT)
Speaker: Stacy Prowell, Oak Ridge National Laboratory
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org
Summary: Modern vehicles include an average of 100 million lines of code and 60 control units. With automotive manufacturers adding an increasing array of safety, entertainment, navigation, and autonomous driving features, the potential threat vectors for vehicle cyber attacks are rapidly expanding. In this talk, Dr. Stacy Prowell, Director of the Oak Ridge National Laboratory Vehicle Security Center, will discuss the current state of security, the issues to be addressed, and some of the work being done to address these issues.
Bio: Dr. Stacy Prowell serves as the Chief Cyber Security Research Scientist in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory. Dr. Prowell also leads the Cyber Warfare Research Team, is the Program Manager for the lab’s Cybersecurity for Energy Delivery Systems program, and is the Director of the lab’s Vehicle Security Center. Dr. Prowell’s research focuses on physics-based methods for intrusion detection and semantics-based methods in malware detection and analysis. Dr. Prowell’s work on a system for deep analysis of compiled software led to the Hyperion system which received a 2015 R&D 100 award and two awards for technology transfer. Previously, Dr. Prowell worked in the CERT Program of the Software Engineering Institute on automated analysis of malware. In his spare time Dr. Prowell is an Associate Professor of Electrical Engineering and Computer Science at the University of Tennessee.

Explainable Machine Learning Models for Healthcare AI 🗓

— definitions, interpretable machine learning models, deployment, recent advances, challenges …

register
Webinar Date: Wednesday, September 26, 2018
Time: 9:00 AM (PT)
Speakers: Ankur Teredesai, Dr. Carly Eckert, Muhammad Aurangzeb Ahmad, and Vikas Kumar of KenSci.
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: webinar.acm.org
Summary: This tutorial extensively covers the definitions, nuances, challenges, and requirements for the design of interpretable and explainable machine learning models and systems in healthcare. We discuss many uses in which interpretable machine learning models are needed in healthcare and how they should be deployed. Additionally, we explore the landscape of recent advances to address the challenges model interpretability in healthcare and also describe how one would go about choosing the right interpretable machine learning algorithm for a given problem in healthcare.
Bio: Ankur M. Teredesai is the co-founder and Chief Technology Officer of KenSci. He also holds a Professorship in Computer Science & Systems at the University of Washington. Ankur’s research spans data science with its applications for societal impact in healthcare. Apart from his academic appointments at RIT and the University of Washington, Teredesai has significant industry experience, having held various positions at C-DAC Pune, Microsoft Research, IBM T.J. Watson Labs, and a variety of technology startups. He has published more than 75 papers on machine learning, managed large teams of data scientists and engineers, and deployed data science solutions in healthcare. His recent applied research contributions include cost and risk prediction for readmission due to chronic conditions such as congestive heart failure. Other applications of his work have enabled predicting lengths of stay and sepsis as well as predicting medication pathways to lower risks of mortality and rehospitalization. He is the Executive Director of Center for Data Science, and serves as the Information Officer for ACM SIGKDD (Special Interest Group in Knowledge Discovery and Data Mining), the leading organization of industry and academic researchers in data science. He is currently an associate editor for ACM SIGKDD Explorations and IEEE Transactions on Big Data and serves on program committees of major international conferences in machine learning and healthcare.
Presenter:
Bio: Carly Eckert, M.D., M.P.H. is the Medical Director of Clinical Informatics at KenSci. In this role, Dr. Eckert leads and works with doctors, data scientists, and developers to identify patterns in patient data to predict risk that can cost-effectively improve care outcomes. Prior to her role at KenSci, Dr. Eckert was the Associate Medical Director for Catastrophic Care at the Department of Labor & Industries for the state of Washington. She trained in General Surgery at Vanderbilt University Medical Center and in Occupational & Environmental Medicine and Preventive Medicine at the University of Washington (UW).
She has also co-authored several publications on topics related to general surgery, occupational health, and occupational injury. She recently co-authored a publication accepted for presentation at AAAI: Death vs Data Science: Predicting End of Life. Dr. Eckert received her Masters of Public Health (M.P.H.) in Epidemiology from the University of Washington School of Public Health where she continues her studies as a doctoral student in the Epidemiology department. She received her Doctor of Medicine (M.D.) from the University of Oklahoma Health Sciences Center.
Bio: Muhammad Aurangzeb Ahmad is the Principal Data Scientist at KenSci. In this role, his work is focused on applying machine learning to solve problems within healthcare. His research at KenSci is focused on interpretable machine learning, fairness in machine learning, and causal machine learning models within the context of healthcare. Before coming to KenSci, Muhammad worked in applied machine learning in various domains, e.g., retail (Groupon), video gaming (Ninja Metrics), population studies (MPC), biomedical devices (Boston Scientific), and the energy sector (Con Edison). After working in different fields, Muhammad found his calling in healthcare, where he saw the great potential in using machine learning to improve the lives of people.
Muhammad holds a Ph.D. in Computer Science from the University of Washington. He has taught machine learning and data science at the University of Washington – Tacoma, and he was a visiting research scientist at the Indian Institute of Technology at Kanpur. He has published more than 50 research papers on machine learning and data science.
Bio: Vikas Kumar is a Data Scientist working at KenSci. In this role, Vikas works with a team of data scientists and clinicians to build consumable and trustable machine learning solutions for healthcare. His focus is in building explainable models in healthcare and application of recommendation systems in clinical settings. Prior to KenSci, Vikas was pursuing his doctorate in Computer Science at the University of Minnesota, Twin Cities.
Vikas holds a Ph.D. with a major in Computer Science and minor in Statistics from the University of Minnesota, Twin Cities. He has worked on modeling and application of recommendation systems in various domains, such as media, location, and healthcare. His focus has been to interpret the balance users seek between known (or familiarity) and unknown (or novel) items to build adaptive recommendations. Prior to his Ph.D., he completed his Bachelor’s at the National Institute of Technology, India and worked as a software engineer in Microsoft India.
Visit webinar.acm.org for our full archive of past webinars.

Dissatisfied With Your Job? 🗓

— (IEEE-USA) – unhappiness, employee surveys, satisfaction, strategies, managing your work life …

register
Webinar Date: Thursday, September 27, 2018
Time: 11:00 AM (PT)
Speakers: Richard Feller and Peggy Hutcheson
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: (put shortened chapter/webinar URL here)
Summary: Careers consume so much of our lives that being unhappy at work can lead to feeling pretty unhappy about much of life. If you’ve been part of an employee survey, most likely your company was using this as a tool to see how much the employees there are engaged with their work and satisfied with the company. This is good — it’s important for employers to recognize what is being done to maintain a strong corps of talent for the business and what needs to be done to improve employee satisfaction. Unfortunately, it may also mask some advantages that are associated with EMPLOYEE DISSATISFACTION. Most people are less than fully happy with their jobs at some point in their careers. In this webinar, you will learn more about:
— What contributes most to satisfaction in technical careers
— How to identify the core source of dissatisfaction
— Strategies that those who are most satisfied use to manage their work lives
Presenters Richard Feller and Peggy Hutcheson have experience both personally and professionally in managing their careers and in helping individuals and organizations to develop an understanding of the roots of dissatisfaction and to create positive strategies to use dissatisfaction as a warning flag that leads to positive action and increased satisfaction.