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 …

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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 …

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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 …

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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.

Application of Machine Learning in Power Systems 🗓

— (IEEE SmartGrid) – overview, use of machine learning, deep reinforcement learning, power system emergency control, leverage …

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Webinar Date: Thursday, October 25, 2018
Time: 10:00 AM (PT)
Speaker: Qiuhua Huang, Pacific Northwest National Laboratory
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: The webinar will begin with a short tutorial of machine learning and provide an overview of application of machine learning in power generation, transmission and distribution systems, including the history and the state of the art. Two projects at Pacific Northwest National Laboratory will be presented. The first project is power system emergency control using deep reinforcement learning, which powered AlphaGo to beat human Go champions. The second project is adaptive Remedial Action Scheme (RAS) settings using machine learning. The ultimate goal of these two projects is to leverage state-of-the-art machine learning technologies to make decision-makings in power system control centers—the “brain” of the grid— adaptive, robust and smart. Lastly, future work and research directions will be discussed.
Bio: Qiuhua Huang received his B.Eng. and M.S. degree in electrical engineering from South China University of Technology, Guangzhou, China, in 2009 and 2012, respectively, and his Ph.D. degree in electrical engineering from Arizona State University, Tempe, AZ, in 2016. Qiuhua Huang is currently a power system research engineer in the Electricity Infrastructure group, Pacific Northwest National Laboratory, Richland, WA, USA. His research interests include power system modeling, simulation and control, transactive energy, and application of advanced computing and machine learning technologies in power systems. Currently, he is the principal investigator/project manager of several DOE funded projects. He is co-chair of the “Deep Learning and Smart Grid Applications” panel session at PES GM 2018. He is an Associated Editor of CSEE Journal of Power and Energy Systems.

Scalable Algorithms for Grid Operations: Challenges and Opportunities 🗓

— (IEEE SmartGrid) – monitoring, controlling, optimizing, distributed energy resources, controllable devices, integration …

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Webinar Date: Thursday, October 11, 2018
Time: 10:00 AM (PT)
Speaker: Subhonmesh Bose, Assistant Professor, University of Illinois at Urbana-Champaign
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: Scalability is the fundamental challenge in the design of algorithms for monitoring, controlling, and optimizing the assets of a power system. Adoption of distributed energy resources (DERs) is adding to the number of controllable devices. Integration of variable renewable production from wind and solar is making it necessary to account for multiple different scenarios in making dispatch decisions with uncertain supply. Addition of phasor measurement units and automated metering infrastructure is leading to the collection of a large amount of data that needs processing to provide meaningful information. Thus, system operations today require algorithms that are able to synthesize large volumes of data, produce actionable decisions within reasonable runtimes, and do so with provable performance guarantees. In this talk, an overview of the design challenges in solving large-scale optimization problems in power system operation will be presented, how these problems are compounded by the evolving landscape of the power grid, and various approaches to address them.
Bio: Mark SiiraSubhonmesh Bose is an Assistant Professor in the Dept. of Electrical and Computer Engineering at the University of Illinois at Urbana Champaign. Prior to joining UIUC, he was an Atkinson Postdoctoral Fellow in Sustainability at Cornell University. He received his MS and PhD at California Institute of Technology in Electrical Engineering in 2012 and 2014, respectively. Also, in 2009 he received his B.Tech degree at Indian Institute of Technology Kanpur. His research interests are in algorithm and market design for the electric power system with renewable supply.

Grid Modernization and Resiliency: Frameworks and Case Study 🗓

— (IEEE SmartGrid) – readiness determination, clear goals, application of resiliency concepts …

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Webinar Date: Thursday, September 20, 2018
Time: 10:00 AM (PT)
Speaker: Aaron F. Snyder, Director of Grid Technology Consulting, EnerNex
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: This presentation will describe the origins of Grid Modernization and propose a readiness determination methodology. This methodology will then show how to develop a grid modernization project in a rigorous fashion to meet clearly defined goals. Following this, a framework for one aspect of Grid Modernization, resiliency, will be presented along with a case study to highlight the application of resiliency concepts to meet Grid Modernization goals.
Bio: Mark Snyder obtained his BSEE (1993) and MSEE (1997) from Virginia Polytechnic Institute and State University, and his Diplôme d’Études Approfondies (1996) and Diplôme de Docteur (1999) from the Institut National Polytechnique de Grenoble in Grenoble, France. As the Director of Grid Technology Consulting at EnerNex, Aaron works with utility and vendor clients on metering, AMI, Smart Grid, and Grid Modernization projects. In recent years he has been supporting AMI, DA, Microgrid, and ADMS projects in the USA and Middle East, including enterprise architecture, strategy development, requirements, equipment specifications, procurement support, and pre-deployment activities. He is a Board member of the UCA International Users Group, and participates in standards development activities at national and international levels. He is a Senior Member of IEEE.

The Importance of the IEEE 2030 Smart Grid Interoperability Reference Model 🗓

— (IEEE SmartGrid) – overview, NIST framework, standardization, systems-level approach, communications, information technology …

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Webinar Date: Thursday, September 6, 2018
Time: 11:00 AM (PT)
Speakers: Mark Siira, Director of Utility Compliance and Solutions, ComRent International; Charlie Vartanian, Storage Reliability and Integration, PNNL; Sara Biyabani, Founder and CTO of a stealth GridComm startup
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org/
Summary: This presentation will review the concept of interoperability and the IEEE Std 2030-2011, Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System (EPS), and End-Use Applications and Loads. It provides an overview the smart grid interoperability reference model (SGIRM).
A smart grid standardization roadmap was developed in 2010 by the IEC that is similar to the framework and roadmap developed by NIST. Standards developing organizations (e.g., IEEE), using an open and balanced consensus process, are establishing standards for the smart grid, building off of the conceptual reference models produced by NIST.
IEEE Std 2030-2011 supports EISA, the NIST framework coordination efforts, IEC interests, and additional smart grid applications. It focuses on a systems-level approach to understanding and guidance for interoperability components of communications, power systems, and information technology platforms.
Bio: Mark Siira is the Director of Utility Compliance and Solutions for ComRent International, a leader in load testing solutions for critical facilities and utility-scale systems. Mark is responsible for technology strategy, external communication content.
Mark is a senior member of IEEE and currently active as a leader in several standards making organizations; Chair of IEEE Standards Coordinating Committee 21. In this role, he leads the development of all interconnection and interoperability standards for Fuel Cells, Photovoltaics, Dispersed Generation, and Energy Storage. Concurrently, he is Vice-Chair for IEEE1547-2018 Interconnection Standard, and is sub-group chair of IEEE P1547.1 installation evaluation and commissioning. Mark was a member of the writing committee for IEEE 2030-2011 and was the chair of IEEE 2030.2-2015. He has a Bachelor of Mechanical Engineering Degree from GMI Engineering and Management Institute (now Kettering University), and an MBA from Harvard Business School.
Charlie Vartanian is a Sr. Technical Advisor for Storage Reliability and Integration, within PNNL’s Electrochemical Materials and Systems Group. His focus is the advancement of reliability and integration of grid connected energy storage systems.
Charlie has over 25 years of power industry experience deploying advanced grid technologies, performing electric system studies, and contributing to technical standards development. He has worked previously for Mitsubishi Electric, UET, DNV KEMA, A123 Systems, Enron, the California Energy Commission, and Southern California Edison. During his 15 years at Southern California Edison, Charlie’s activities spanned traditional T&D planning through R&D. He is a currently Secretary of the IEEE 1547.9 Guide for DER Energy Storage Interconnection working group, and Co-Chair of the IEEE Energy Storage Task Force. Charlie received his BSEE from Cal Poly Pomona, and his MSEE from USC. Charlie is a licensed professional Electrical Engineer.
Sara Biyabani is the Founder and CTO of a GridComm startup in stealth mode. She is a Computer Systems Architect with extensive expertise in Computer and Distributed Systems hardware and software, as well as architectures for Smart Grid systems and Distributed Energy Resources in Power Distribution Systems. Sara is an IEEE Senior Member and member of IEEE Standards Association. She has actively contributed to the development of Interoperability Standards IEEE 2030-2011, IEEE 2030.2, IEEE 2030.5, and IEEE 1547. She was 2030.2-2015 ICT Sub-Group Technical Lead. Currently, she is the Co-Chair of IEEE P1923.1 and P1924.1, and also serves in California Rule 21 Smart Inverter WG and SunSpec Alliance Inverter Model Update WG. She has a Masters in Electrical & Computer Engineering from University of Massachusetts, Amherst and a Bachelors in Physics and Computer Science from Smith College.

Good Girls Ask: Negotiations For Women 🗓

— preparation, money, butterflies, best timing, anxiety, fairness …

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Webinar Date: Thursday, August 16, 2018
Time: 9:00 AM (PT)
Speaker: Elizabeth Lions, writer and coach
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: www.ieeeusa.org
Summary: This powerful presentation has been given globally, as well as locally. No woman is ever the same after hearing Elizabeth’s talk on money and negotiations. The days of having butterflies in your stomach while discussing your promotion, a raise or an increase to your fees are over. Money is not emotional, it’s the ideas you attach around money that stick. Elizabeth will demonstrate how to make friends with your finances — for good!
Participants will learn: — The best time to ask for a raise; — Why women get anxious around asking for money or the promotion; — How skills = money and how to ask for what is fair; — How to ask for money without having your stomach in knots
Bio: Elizabeth Lions is the Author of three books, “Recession Proof Yourself” and “I Quit! Working for You Isn’t Working For Me.” Her third book will be released on leadership and is entitled, “Hear Us Roar: Unapologetic Women Leading in Corporate America.” She has designed and developed leadership, career courses, webinars and even a radio show entitled, “Leadership Lessons from the Lioness,” featured on Plaid for Women. Over the course of her career, Elizabeth estimates she has read more than 100,000 resumes and hired thousands of professionals in some of America’s top organizations, including Intel, Fiserv, Wells Fargo, Microsoft, Precision Castparts and AT&T, to name a few. An expert adviser on career conundrums, Elizabeth has been quoted in Yahoo, The Ladders, and Dice job boards. Her words have reached as far as the front page of the Philadelphia Tribune, PBS, CBS Money Watch, Dale Carnegie and John Tesh’s blog. In 2014, she took her leadership courses to Dubai and the Middle East. Bottom line: Elizabeth knows why someone is hired, fired or promoted – often before they do. Today, Elizabeth can be found writing, coaching and collaborating with the who’s who of the Corporate America. When she isn’t working, Elizabeth can be found traveling across state lines with her husband on their Harley Davidson motorcycle or in the yoga studio twisting for hours on end.

PV-Rich Communities, Storage, and Flexibility: The Need for Distribution System Operators 🗓

— (IEEE SmartGrid) – residential PV, daytime storage, flexible networks, participants, technical challenges opportunities …

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Webinar Date: Thursday, August 23, 2018
Time: 6:00 AM (PT)
Speaker: Luis (Nando) Ochoa, Professor of Smart Grids and Power Systems, University of Melbourne
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: Australia has currently the largest residential photovoltaic (PV) penetration in the world, with almost 1 in 5 houses with the technology. Battery storage systems are also becoming attractive as they allow storing excess PV generation during the day to use it later at night. However, PV-rich communities will pose significant technical and economic challenges on distribution networks – but also some opportunities.
For this PV-rich future to thrive, more intelligent, flexible electricity networks, also known as Smart Grids, are likely to play an important role. But for Smart Grids to emerge, the traditional Distribution Network Service Provider (DNSP) needs to evolve into an engaged, flexible Distribution System Operator (DSO) in which network elements and participants (consumers, generators, and those that do both) are actively managed to fulfill technical, economic, and environmental objectives.
This talk will present and discuss the different challenges of PV-rich communities, the role of adequately controlling storage to create more flexibility, and the vision, potential future roles, and challenges to ensure the transition to DSOs.
Bio: Luis (Nando) Ochoa is Professor of Smart Grids and Power Systems at The University of Melbourne, Australia and part-time Professor of Smart Grids at The University of Manchester, UK. His expertise in network integration of low carbon technologies and his extensive portfolio of industrial and academic projects have led to 140+ publications, 60+ technical reports, and one patent filed by Psymetrix Ltd. Prof Ochoa is an IEEE PES Distinguished Lecturer and has also several leadership roles within IEEE PES, including Member-At-Large of the Governing Board and Editorial Board Member of the IEEE Power and Energy Magazine. Prof Ochoa is an IEEE Senior Member since 2012. He holds a Bachelor’s degree in Mechanical and Electrical Engineering from UNI (Peru), and a Research MSc and a PhD in Electrical Power Engineering, both from UNESP Ilha Solteira (Brazil).

The Outbreak of Smart Grid Cyber-Security: The Modern Campfire Story 🗓

— (IEEE SmartGrid) – vulnerability, impacts, outage costs, improving resilience, importance and urgency …

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Webinar Date: Thursday, September 13, 2018
Time: 7:00 AM (PT)
Speaker: (Dr. Abedalsalam Bani-Ahmed, Power Systems Cyber-Security, Eaton Corporation
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: Recent cyber-security incidents have caused severe power outages in distribution system operations, which have highlighted the importance and urgency of improving the resilience of the electric distribution systems. Unlike IT networks, vulnerability of Smart Grid (SG) infrastructure has a direct impact on the vulnerability of system assets and operational outage costs. SG infrastructure can be secure, but yet not safe. Recent trends in cyber-security solutions have a broader necessity, not only on communications security, but the resiliency to cyber-attacks. This webinar is intended to provide a list of cyber-security definitions and technical considerations of SG critical infrastructure.
Agenda: — Overview and Definitions; — The Path from philosophy to science to corpo-reality; — Cyber-physical perspective (Requirements and developments); — Where to go (resources, targets), and how to go (backgrounds, starting point); — Conclusions.
Bio: Abedalsalam Bani-Ahmed was born in Sakib, Jordan in 1984. He received a B.Sc degree (2007) in Engineering Technology from Yarmouk University, Irbid, Jordan, a M.Sc degree in Computer Engineering (2011) from Jordan University of Science & Technology, Irbid, Jordan, and a PhD degree in Electrical Engineering (2017) from the University of Wisconsin – Milwaukee, Wisconsin, specializing in the cyber-physical integration in decentralized smart microgrid control systems. He has worked as research assistant at the Center for Sustainable Electrical Energy Systems (UW-Milwaukee) from 2012 to 2017, and a Power Systems Engineer at Eaton Corporation in 2017.
Currently, Dr. Bani-Ahmed is a Lead Engineer of Power Systems Cyber-Security at Eaton Corporation, Corporate Research and Technology. His research interests include Smart Grids, Microgrids and DERMS, IIoT communications infrastructure, protocols, cyber-security, and standards, and has published numerous technical journal and conference papers, and white papers on related topics. In addition, he is active with IEEE Smart Grid R&D (operations & education committees) and IEEE Smart Cities (R&D, Education, and Publication committees). He also serves as a reviewer to multiple IEEE PES and IAS transactions, and various international Smart Grid related journals.
Dr. Bani-Ahmed is an active member in the following societies: IEEE Member, IEEE Power & Energy Society (PES), IEEE Computer Society (CS), IEEE Industry Applications Society (IAS), IEEE Young Professionals & IEEE Communications Society (ComSoc).