Cybersecurity for the Smart Grid: Challenges and R&D Directions 🗓

— reliability, security, attacks, sophistication, resilience, mitigation, case studies, best practices …

register
Webinar Date: Thursday, December 21, 2017
Time: 10:00 AM (PT)
Speaker: Manimaran Govindarasu, Professor, Iowa State University
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: Modern electric power grid is a complex cyber-physical critical infrastructure that forms the lifeline of our society, its reliable, secure, and resilient operation is of paramount importance to national security and economic well-being. In recent years, there has been growing concerns over the cybersecurity of the power grid, due to both from increasing trend of cyber-attacks and the sophistication of these attacks. For instance, cyber attacks on Ukrainian power grid in 2015 and 2016, and also increasing number attempts to infiltrate into grid infrastructures of many nations underscore the urgency and importance of this issue. This talk first focuses on the technical challenges associated with protecting the grid, and then discusses R&D directions and best practices to achieve cybersecurity. In particular, a holistic cybersecurity framework — encompassing attack deterrence, prevention, detection, mitigation, resilience, and attribution/forensics — is discussed. The concepts of end-to-end-security, defense-in-depth, attack-resiliency, and cybersecurity testbeds are also briefly discussed.
Bio: Manimaran Govindarasu is currently the Mehl Professor of Computer Engineering in the Department of Electrical and Computer Engineering at Iowa State University (ISU). His research experiences include Cyber-Physical System (CPS) security for the smart grid, cyber security, and real-time systems. He has co-authored over 150 peer-reviewed research publications, and has given many invited talks and tutorials at reputed IEEE conferences, and delivered more than dozen industry training sessions, and currently hosts CPS cybersecurity testbed for research and education. He is the Founding Chair of the Cybersecurity Task Force/Working Group within IEEE PES CAMS Subcommittee. He currently serves as an Associate Editor for IEEE Transactions on Smart Grid and IEEE Transactions on Mobile Computing. His research program is funded by U.S NSF, DHS, and DOE, and PSERC. He is a Fellow of the IEEE.

MIMO Radar: Fundamentals, Sparse Sensing and its Application in Autonomous Driving (Part II) 🗓

— Joint Meeting Buenaventura EDCAS, COMSOC, and AESS Chapters…
register
Meeting Date: November 28, 2017
Time: 6:30 PM Networking & Food; 7:00 PM Presentation
Speaker: Dr. Shunqiao Sun of Delphi Electronics & Safety
Location: Newbury Park, California
Cost: none
RSVP: requested
Event Details: IEEE vTools

Summary: Radar not only has found widespread application in advanced driver assistance systems (ADAS) but also is one of the key technologies to enable environmental perception in autonomous driving. Compared with LiDAR and camera, radar technology provides reliable measurements of range, velocity and angle information of obstacles surrounding vehicle in all kinds of weather conditions. Unlike the traditional phased-array radar system which transmits via its antenna array a single waveform with different phase shift, multiple-input multiple-output (MIMO) radar can transmit multiple waveforms that may be chosen freely. As compared to traditional radar system with the same number of transmit and receive antennas, MIMO radar achieves significantly improved spatial resolution by exploiting waveform diversity. Due to its advantages, MIMO radar technology has been widely used in designing millimeter-wave radar sensors for ADAS and self-driving cars.

The Part I talk will focus on the fundamentals of MIMO radar as well as novel MIMO radar approaches with the emerging sparse sensing techniques. This talk will cover the radar basics, MIMO radar architecture and waveform design, sparse sensing methods in MIMO radar including compressive sensing (CS) based MIMO radar as well as novel MIMO radar approach using matrix completion (MC).

The Part II talk will focus on the role of radar in autonomous driving and various aspects of automotive radar signal processing techniques. This talk will cover the radar system requirements and architecture for autonomous driving, principles of frequency-modulated continuous-wave (FMCW) radar, high resolution angle finding methods, “smart” radar sensors with machine learning, as well as unique problems associated with automotive radars for autonomous driving such as pedestrian detection.

Bio: Dr. Shunqiao Sun received his Ph.D. degree in Electrical and Computer Engineering from Rutgers, The State University of New Jersey in Jan. 2016. He is currently with the radar core team of Delphi Electronics & Safety, Agoura Hills, CA, where he is working on advanced radar signal processing and machine learning algorithms for self-driving cars. In the past, he held internships at Cisco Systems and Mitsubishi Electric Research Labs (MERL). His research interests lie at the interface of statistical and sparse signal processing with mathematical optimizations, MIMO radar, machine learning, and smart sensing in complex environments. Dr. Sun is winner of the 2016 IEEE Aerospace and Electronic Systems Society Robert T. Hill Best Dissertation Award for his thesis “MIMO Radars with Sparse Sensing”.

3D Printing, Microwave Design, and Woodwinds Come Together 🗓

— musical devices, 3D printers, design tools, to working instruments …

— IEEE Central Los Angeles Life Members …
register
Meeting Date: January 27, 2018
Time: 10AM Networking 10:30AM Presentation
Speaker: Dr Charles Jackson
Location: Rolling Hills Estate, California
Cost: none
RSVP: requested
Event Details: IEEE vTools

Summary: People have been making musical instruments for a long time; for over 40,000 years. We use whatever we can find to make them. Today we can use 3D printers to make them. This talk will show how to apply microwave theory (transmission line theory, network analysis, and S-Parameters) to the design of woodwind instruments; especially renaissance instruments such as the flute, crumhorn, or cornetto. The talk will then show how to use 3D printing to make working instruments.

Bio: Dr. Jackson has had an interest in the design of woodwind instruments for many years. He has written articles on Quasi-optical components, High Temperature Superconductors for microwave applications, Ferroelectric phase shifters, and Microwave Radiometers. He has been awarded three patents. He is on the Center Staff of the RFMS of Northrop Grumman Aerospace Systems. He was President of the IEEE Microwave Theory and Techniques Society in 2001, and is a Fellow of the IEEE.

Design and Implementation of Haptic Robotics and mHealth Systems in Rehabilitation 🗓

— Co-sponsored by USD IEEE Student Branch, IEEE San Diego AES, RAS, and CS Chapters …

register
Meeting Date: November 21, 2017
Time: 12:15 PM Networking & Food; 12:25 PM Presentation
Speaker: Dr. Charmayne M.L. Hughes of Health Equity Institute / San Francisco State University
Location: University of San Diego
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools

Summary:
Haptic Robotics and mHealth Systems in Rehabilitation combine motor control, neuroscience, and engineering to address the impacts of violence and trauma on neurocognitive and neuromotor functioning for resource-constrained and vulnerable populations.

Bio: Charmayne Hughes is a Health Equity Institute Associate Professor of Kinesiology at San Francisco State University. She received her PhD in motor behavior from Purdue and completed her postdoctoral work at Bielefeld University, the Technical University of Munich,and Nangyang Technological University. She works to elucidate the impact of violence and trauma on underlying neurocognitive and neuromotor functioning and to develop scientific, engineering, and technological solutions that benefit resource constrained and vulnerable populations.

TechPortal Talks: Benefiting from the pre-incubator experience 🗓

Hear firsthand accounts of lean startup practices and lessons learned

register
Meeting Date: November 16, 2017
Time: 5PM Networking 5:30PM Presentations 7:30PM Buffet
Speakers:
Paul Dhillon, CEO, Integra Devices
Aditi Majumder, UCI professor and founder/president, Summit Technology Laboratory
Byron Shen, CEO, Velox Biosystems
Michael Tam, associate, Crosscut Ventures
Nancy Kim Yun, senior director, Research Translation Group, UCI Applied Innovation

Location:Calit2 Building Auditorium, UC Irvine

RSVP: requested, through website
Event Details: Register

Summary:
According to conventional wisdom, nine out of 10 startups fail. The problem? It’s not true. The U.S. Small Business Administration says 66 percent of startups make it to two years and roughly half of new businesses survive five years of operation. But often, very early-stage startups are not ready to jump head first into the commercial marketplace. That’s why CALIT2 opened TechPortal, a pre-incubator to house and assist young startups still in the process of formulating business plans, developing prototypes, establishing an entrepreneurial team, soliciting investments and preparing for market readiness. TechPortal has been home to 16 startups, many of which have gained strong footholds in their respective markets. Others are currently navigating the pre-incubation channels, and some simply didn’t succeed.

Join us Thursday, November 16, 2017 to:
· Hear firsthand accounts of lean startup practices and lessons learned
· Understand new startup customer-development and ideas-validation processes
· Discover unique resources that a campus pre-incubator can provide
· Learn about federally funded revenue streams and get advice from an early-stage investor
· See what UCI is doing to better enable commercialization efforts

The First Installation of 500kV XLPE Cable System in North America 🗓

— Presented by IEEE Metro LA Power & Energy Society

— IEEE Metro LA Power & Energy Society …
register
Meeting Date: November 21, 2017
Time: 11:10 AM Networking & Food; 12:00 PM Presentation
Speaker: Hunly Chy, Southern California Edison
Location: Luminarias Restaurant, 3500 Ramona Blvd. Monterey Park, CA
Cost: See registration link
RSVP: requested, through website
Event Details: Eventbrite

Summary:
This presentation will discuss the first installation of 500kV XLPE cable system in North America. Throughout three and half years engineering and construction process after approval by CPUC, the project is now completed and the line is energized. The project team will share their experience on the design and construction challenges during the project execution, including qualification of cable supplier, protecting the cable from thermal mechanical bending forces, access road and duct bank in the hilly terrain, horizontal directional drills, cable trench and transition station, and final commissioning test.

Bio:
Hunly Chy P.E., MSEE, MBA, IEEE member, is an Engineering Manager of the Center of Excellence for Underground Cable at Southern California Edison. His group is responsible for the design and standards on cable and wire for Distribution, Transmission, and Substation. Mr. Chy received his Bachelor of Science and Master of Science in Electrical Engineering from the California State University of Los Angeles in 2003 and 2011 respectively. He received his Master of Business Administration degree from the University of Laverne in 2014. Mr. Chy is a registered Professional Engineer in the State of California.

Product Recall – 🗓

what is a product recall and the process involved in handling a recall

— Orange County IEEE Product Safety Engineering Society …

Meeting Date: October 24, 2017
Time: 6:00 PM Networking & Food; Presentation follows
Speaker: Homi Ahmadi, Director of Compliance Engineering at Extron Electronics
Location: Irvine
Cost: none. Open to all. Don’t need to be an IEEE member. Free Food!

Event Details: Element Corp. (Formerly Northwest EMC) 41 Tesla, Irvine

Summary: Presentation we briefly cover what is a product recall and the process involved in handling a recall. Additionally we will share some examples of companies that have had recall.

Bio: Homi Ahmadi has been in the field of regulatory Compliance for more than 25 years in variety of industries and specializes in product safety, EMC, Environmental and ISO 17025. He is a Sr member of IEEE and currently is the Director of Compliance Engineering at Extron Electronics where he oversees the company’s compliance activities globally.

GAMMA RAY DETECTION – Neutrons! Gamma Rays! Finding Explosives! Maybe Curing Cancer! 🗓

IEEE CENTRAL COAST EVENT

— IEEE Central Coast Section …
register
Meeting Date: October 25, 2017
Time: 6:00 PM Networking & Food; 6:30 PM Presentation
Speaker: Wayne B. Norris
Location: Goleta
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools
Summary: Most people know very little about neutrons and gamma rays. For 5½ years, the SEDS, LLC team worked to create a powerful system for finding Improvised Explosive Devices [“IEDs”] using tools based on these nuclear phenomena. The technology also has potential applications to humanitarian demining, cancer treatment, deep rock mining, and the coal and cement industries as well. This will be a no-holds-barred talk about fascinating technology, and Washington politics, presented by Wayne B. Norris, former Chief Scientist of SEDS, LLC, and the principal inventor of 6 patents in the fields of explosives detection and neutron and gamma ray technology.

MIMO Radar: Fundamentals, Sparse Sensing and its Application in Autonomous Driving (Part II) 🗓

focus on the role of radar in autonomous driving and various aspects of automotive radar signal processing techniques.

— Joint Meeting Buenaventura EDCAS, COMSOC, and AESS Chapters …
register
Meeting Date: October 24, 2017
Time: 6:30 PM Networking & Food; 7:00 PM Presentation
Speaker: Dr. Shunqiao Sun of Delphi Electronics & Safety
Location: Newbury Park
Cost: none
RSVP: requested
Event Details: IEEE vTools
Summary:
Radar not only has found widespread application in advanced driver assistance systems (ADAS) but also is one of the key technologies to enable environmental perception in autonomous driving. Compared with LiDAR and camera, radar technology provides reliable measurements of range, velocity and angle information of obstacles surrounding vehicle in all kinds of weather conditions. Unlike the traditional phased-array radar system which transmits via its antenna array a single waveform with different phase shift, multiple-input multiple-output (MIMO) radar can transmit multiple waveforms that may be chosen freely. As compared to traditional radar system with the same number of transmit and receive antennas, MIMO radar achieves significantly improved spatial resolution by exploiting waveform diversity. Due to its advantages, MIMO radar technology has been widely used in designing millimeter-wave radar sensors for ADAS and self-driving cars.

The Part I talk will focus on the fundamentals of MIMO radar as well as novel MIMO radar approaches with the emerging sparse sensing techniques. This talk will cover the radar basics, MIMO radar architecture and waveform design, sparse sensing methods in MIMO radar including compressive sensing (CS) based MIMO radar as well as novel MIMO radar approach using matrix completion (MC).

The Part II talk (October) will focus on the role of radar in autonomous driving and various aspects of automotive radar signal processing techniques. This talk will cover the radar system requirements and architecture for autonomous driving, principles of frequency-modulated continuous-wave (FMCW) radar, high resolution angle finding methods, “smart” radar sensors with machine learning, as well as unique problems associated with automotive radars for autonomous driving such as pedestrian detection.

Bio: Dr. Shunqiao Sun received his Ph.D. degree in Electrical and Computer Engineering from Rutgers, The State University of New Jersey in Jan. 2016. He is currently with the radar core team of Delphi Electronics & Safety, Agoura Hills, CA, where he is working on advanced radar signal processing and machine learning algorithms for self-driving cars. In the past, he held internships at Cisco Systems and Mitsubishi Electric Research Labs (MERL). His research interests lie at the interface of statistical and sparse signal processing with mathematical optimizations, MIMO radar, machine learning, and smart sensing in complex environments. Dr. Sun is winner of the 2016 IEEE Aerospace and Electronic Systems Society Robert T. Hill Best Dissertation Award for his thesis “MIMO Radars with Sparse Sensing”.

Advanced Sensor Concepts 🗓

— Two talks: 1) Advanced Sensor Concepts, Exploitation, Signal Processing & Systems Engineering 2) Knowledge Based Space-Time Adaptive Processing

— IEEE Central Coast Section
register
Meeting Date: October 2, 2017
Time: 6:00 PM Networking & Food; 6:30 PM Presentations start
Speaker: Distinguished Lecturer Michael C. Wicks PhD of University of Dayton
Location: Rusty’s Pizza at 5934 Calle Real in Goleta
Cost: none
RSVP: requested
Event Details: IEEE vTools
Summary:
Talk 1: Advanced Sensor Concepts, Exploitation, Signal Processing and Systems Engineering
In this talk, a number of concepts and technologies forming the foundation for the exploitation of sensors from a Big Data perspective are presented. A signal processing and systems engineering approach is discussed, and heuristic techniques are presented as being critical to leap ahead advances in sensor exploitation. While radar centric in nature, the foundation for a more general sensors approach to Big Data exploitation is discussed. Archival data is considered to be essential to the optimal exploitation of sensor phenomena, as humans are unable to fully observe or even comprehend the volumes of rapidly changing data available today. Topics as diverse as radio frequency tomography for below ground imaging, millimeter wave sensing for exquisite feature extraction, target resonance and dynamic imaging of targets obscured by clutter and cover, as well as space-time adaptive processing are presented. The integrating theme of Big Data exploitation is discussed within the context of these enabling sensor technologies as is the “Velocity of Sensor Data.”

Talk 2: Knowledge Based Space-Time Adaptive Processing
This presentation discusses the development of space-time adaptive processing (STAP) technology for ground moving target indication (GMTI) applications. Current GMTI systems, e.g. the E-8 Joint STARS, use non- adaptive displaced phase center antenna (DPCA) techniques. The Joint STARS platform has been very successful. So the question naturally arises, why is STAP needed for GMTI?

Bio: Dr. Wicks is a leading research scientist in remote sensing, signal processing and systems engineering, with a current focus on distributed sensing and radio frequency technology. He has pursued a variety of research interests in his career, including: cognitive radar, radio frequency tomographic radar, counter explosive sensor technology, cognitive radar and radio, space object sensing, missile defense, deep earth probing radar, multi-dimensional adaptive processing for airborne and space based radar, ultra-wideband radio and radar, passive and active multi-static systems, and concealed weapons / contraband detection and carrier identification. He pioneered the concept of knowledge-based signal processing and waveform diversity, and has led national and international research teams on the design, development and fielding of novel algorithms, architectures and systems for remote sensing from space, air and surface platforms.