In the fast-paced digital age, integrating Digital Twins, Data Storage, and cutting-edge Data Centers is fundamentally reshaping the landscape of transportation and infrastructure management.

Digital Twins — virtual replicas of physical assets — hold immense potential to optimize operations, improve decision-making, and mitigate risks. However, the true power of these technologies is realized only when supported by robust data storage systems and advanced data centers capable of handling the vast amounts of data generated in real time.

This technical talk delves deep into how the convergence of Digital Twin technology and state-of-the-art data infrastructure drives transportation transformation. From the real-time monitoring of fleets to predictive maintenance of critical infrastructure, Digital Twins provides unprecedented insights into asset performance and health. These insights are made possible by the seamless integration of IoT devices, machine learning algorithms, and data storage systems, ensuring that massive volumes of data are securely stored, efficiently processed, and made accessible for immediate action.

The real backbone of this innovation lies in next-generation data storage solutions and high-performance data centers. These facilities store the vast quantities of data produced by IoT sensors and ensure real-time access to critical information, enabling swift decision-making and fostering operational efficiency. This talk will examine how advanced data management techniques, such as edge computing and cloud integration, enable the real-time synchronization of digital twins, transforming operations from reactive to proactive.

Through industry case studies and examples, we will explore the technical challenges and opportunities of adopting these technologies, shedding light on managing large-scale data and ensuring infrastructure reliability effectively. As the transportation industry increasingly relies on these cutting-edge technologies, understanding the pivotal role of data storage and data centers becomes essential to unlocking the full potential of Digital Twins.

Please register for the event using the link provided below. No CEUs or PDHs will be offered for this event.

Networking Night hosted by the IEEE Orange County Section

Join us for delicious pizza from Sgt Pepperoni's Pizza Store and meet other IEEE members in person at our monthly networking event in Irvine! Please register with your IEEE # and bring a jacket as we will be at the outdoor patio.

(Include any dietary restrictions during registration to allow us to adjust orders. We will make an effort to meet your needs, but requests are not guaranteed)

Group photo from the October meeting: https://r6.ieee.org/ocs/2024/10/report-networking-night-2024-october/

IEEE Seattle Section Excom meeting with chapter and society chairs. 

We're excited to invite you to a special networking event where we'll discuss a new Mentor/Mentee Program designed to connect experienced IEEE Life Members with promising young professionals.

Topic: “Real-Time Synchrophasor-Based Situational Awareness, Analysis, Monitoring, and Control of Transmission and Distribution

About Speaker: Marianna Vaiman (IEEE Fellow)  is the Co-founder and CEO of V&R Energy. She has over 30 years of experience in the development and deployment of innovative technologies for the electric utility industry. She has B.Sc. and M.Sc. in Electrical Engineering and her areas of expertise include stability, resilience, optimization, and control in power systems with high penetration of inverter-based resources; use of synchrophasor measurements for enhanced situational awareness and control; use of machine learning; and analysis of cascading outages.

Marianna is an IEEE Fellow and has been recognized as IEEE PES Women Engineers and Achievers in Power & Energy. She is a member of Power & Energy Magazine Editorial Board, the immediate past Co-Chair of IEEE PES Corporate Engagement Program, a member of IEEE PES Industry Technical Support Leadership Committee, a member of Long-Range Planning subcommittee, and a VP of Marketing at CIGRE US National Committee. She’s active in NERC, WECC, and NASPI communities

CHEERS OCEANEERS! Dec 2024 - ALMA BLUE - ALEX FERRé

ALMA Blue is an early-stage investment firm led by Alex Ferré. With a focus on creating and nurturing groundbreaking healthcare companies and companies based around ecosystem resilience, we are dedicated to supporting visionary entrepreneurs who share our commitment to positive change. Alex has spent his career working in business development roles in various biotechnology companies and has also taught biology and robotics.

Alex holds a bachelor’s degree in human biology from Pitzer College with a focus on neuroscience and psychology, as well as a master’s degree in education from the University of San Diego. His deep interest in understanding human behavior, combined with a commitment to global ocean health, positions him uniquely to engage the right individuals in addressing the complex challenges facing our oceans. Alex is dedicated to fostering greater involvement and meaningful contributions from communities worldwide in efforts to protect and restore ocean ecosystems.

Current projects ALMA Blue is taking on particularly revolve around Coral Reef resilience, education platforms for global climate and ocean health awareness, and ocean technology investment opportunities.

*****

Welcome to the Dec 2024 monthly meeting for the IEEE Oceanic Engineering Society (OES), San Diego Chapter, which is hosting this meeting jointly along with TMA (The Maritime Alliance), and MTS (Marine Technology Society).

Please join us for the main presentation from ALMA Blue and also plenty of time for networking and friendly conversation about everything oceanic, engineering, science, Blue Tech, and more.  No need to be an IEEE or OES member, or TMA, or MTS.  Everyone is invited.

This month, we will be at Quantum Brewing again, a cool science-themed brewery founded by a biochemist.

Dec 11th, 2024, Wednesday

5:30pm-8:00pm

Quantum Brewing

5375 Kearny Villa Rd #116

San Diego, CA 92123

No ticket required, but please order something for yourself from the brewery.

Please grab a bite from a nearby restaurant, which is okay to bring into the brewery per the owner.

The food and drinks are not being funded by the hosts.  Please open your own tab.

Agenda:

5:30pm: Arrival and networking, order food/drinks for yourself.

6:15pm: OES and other hosting group announcements.

6:20pm: Presentation by Alex Ferré of ALMA Blue.

6:40pm (approximately): “open mic” for any other attendees to present anything they like (ocean-related, of course).

Examples: employers presenting opportunities for employment, job seekers presenting a quick bio, internship program opportunities, promoting other events, seeking funding, “show and tell” of any cool technology you are working on, etc.

7:00pm to close: enjoy some drinks and chatting with fellow oceanic engineering enthusiasts.

RSVPs are appreciated for planning purposes.  In your response, please indicate whether you are member of OES, TMA, or MTS.

EXCOM Meeting for IEEE PES Seattle Officers 

Recent progress in three-dimensional (3D) integration offers a unique opportunity to integrate low-dimensional semiconductors in a vertically stacked system for 3D integrated circuits. In this talk, we will discuss modeling, simulation, and design of two-dimensional (2D) semiconductors and semiconductor quantum dots to enable neuromorphic and quantum computing functionalities in an integrated system.  A multiscale simulation approach is employed to model the stochastic switching characteristics of 2D-semiconductor-based devices for Boltzmann machines, facilitating efficient solutions to optimization problems. Furthermore, technology computer-aided design (TCAD) offers valuable insights into operation principles, quantum noise limitations, and quantum gate performance for semiconductor spin-based quantum computing applications."

Bio:

Jing Guo is currently a professor in the Department of Electrical and Computer Engineering at the University of Florida, Gainesville, FL, USA. His research work mainly focuses on modeling, simulation, and design of nanoscale electronic devices. His group has extensively explored device physics, assessed performance potentials, and developed new device concepts for nanoscale transistors based on carbon nanotubes, graphene, 2D materials and topological insulators, and memory cells based on ferroelectric materials. His group has developed efficient simulation methods for quantum-transport-based device simulations, and physics-based models for nanoscale transistors. He has also developed and contributed to some widely used simulation tools deployed on the nanoHUB, such as CNTbands. He served in the technical program committee of the International Device Research Meeting (IEDM) and Device Research Conference (DRC). He also serves as an associate editor of Nano-Micro Letters. He coauthored a book “Nanoscale Transistors: Device Physics, Modeling, and Simulation.” Published by Springer.

Join us for the end of the year celebration. Come out and meet up with your fellow IEEE Consultant Network colleagues, family and friends. We will present the IEEE CN awards to outstanding members. Don't miss out register today! 

Come and find out the outstanding Consultant for 2024! Don't miss the excitement. Register today! 

You're Invited! IEEE Boise Section Holiday Party

Dear Boise Section Members,

The holiday season is upon us, and we'd like to express our sincere gratitude for your membership this year. To celebrate the spirit of the season and also thank you for being a Member of the IEEE Boise Section, we're hosting a festive Holiday Party!

Event Details:

●     Date: Friday, December 13th

●     Time: 6:00 PM

●     Location: Boise State University - MCMR (Micron Center for Materials Research) Room 106

Join us for an evening of merriment, delicious food, and delightful company. It's a wonderful opportunity to connect with fellow members and celebrate the season together. Spouses and children are invited and encouraged to attend as well.

RSVP:

Please RSVP by 12:00 PM on Wednesday, December 11th, via this vTools event Register Now Button so we can get a headcount for the food we need to order.  Note: Please also record how many people from your household will attend.

We can't wait to celebrate with you!

Warmly,

The IEEE Boise Section Opcomm

Signal Processing for Integrated Sensing and Communications

By  Dr. Kumar Vijay Mishra

Abstract：

This is one of the VTS San Diego Chapter Distinguished Lecture series: This talk highlights recent advancements in Integrated Sensing and Communications (ISAC), emphasizing the optimization of resources for coexistence between advanced sensing and wireless communication systems. While prior work focuses on colocated ISAC, this tutorial explores emerging scenarios in collaborative and distributed ISAC, particularly at mm-Wave and THz frequencies and in dynamic vehicular environments. Key topics include architectures for distributed coexistence, sensor fusion, and heterogeneously distributed radar and communications. It also examines innovations like intelligent reflecting surfaces (IRS), 5G, passive IoT, and ISAC secrecy rate optimization. The goal is to inspire the radar, communications, and signal processing communities to explore this rapidly evolving field and foster cross-disciplinary collaboration.

This presentation explores the dynamics of wide-area oscillations in power grids and their impact on grid stability, particularly under high penetration of Inverter-Based Resources (IBR). This is part of ongoing three-year research project, Wide-Area Oscillation Assessment and Trending Analysis, funded by DOE Office of Electricity Advanced Grid Modeling program. Wide-area oscillations carry crucial information about system stability. While well-damped oscillations are often contained, strong oscillations can signal impending stability issues, reducing system performance, increasing equipment wear, and potentially causing generation tripping or grid breakup. Adequate damping of key oscillation modes is essential for reliable grid operation. Conventional analysis has focused on large synchronous generators, but the rising penetration of renewable generation and active loads is driving observable changes in oscillatory behavior. A systematic study reveals that high IBR penetration correlates with lower damping ratios of inter-area modes, while heavier loads correlate with lower oscillation frequencies. Without proper control and coordination, high IBR penetration could exacerbate these oscillations, posing risks to grid stability. To mitigate these risks, we developed and tested control strategies for IBRs to improve oscillation damping. Leveraging our prior experience in grid oscillation research, we focused on designing control algorithms for both grid-forming and grid-following IBRs. Study results show that these control strategies can enhance the stability of power grids with high renewable generation. 

In the dynamic world of technology, cloud architecture has emerged as a pivotal field, driving innovation and digital transformation across industries. This presentation explores the roadmap for professional advancement in cloud architecture, focusing on the essential skills, strategies, and opportunities that aspiring professionals must harness to succeed. From mastering foundational concepts to embracing cutting-edge technologies like Kubernetes, AI-driven cloud solutions, and multi-cloud strategies, attendees will gain actionable insights into skill-building and career growth. Additionally, we will delve into industry certifications, the value of mentorship, and leveraging networking platforms to stay ahead in this competitive domain. Whether you are beginning your journey or looking to elevate your career, this session equips you with the tools and knowledge to achieve excellence in cloud architecture.

Are you familiar with SWEBOK v4.0 (The Guide to the Software Engineering Body of Knowledge)?

Did you attend any of the webinars introducing SWEBOK v4.0?
The info on the webinars is copied below.

Let's discuss this new document.

• How many of these practices are useful in Hawaii?
• Are there topics you would like to discuss more or invite a speaker?
• Is this document useful when mentoring young engineers?

eugene.chang@ieee.org

As more power systems are reaching very high shares of inverter-based resources (i.e., wind, solar, battery storage), new resources with advanced capabilities, termed grid forming (GFM), are becoming increasingly important. As a result, more system operators are defining performance and testing requirements for GFM IBRs and now projects are being built to these specifications. The webinar will provide some introduction to grid forming controls and introduce the latest developments with GFM specifications (including the most recent drafts from MISO, ERCOT, and ENTSO-E) and GFM projects. 

Fog learning is an emerging paradigm for optimizing the orchestration of artificial intelligence services over contemporary network systems. Different from existing distributed techniques such as federated learning, fog learning emphasizes intrinsically in its design the unique node, network, and data properties encountered in today’s fog networks that span computing elements from the edge to the cloud. An important thread of research in fog learning has been on understanding the role that local topologies formed on an ad-hoc basis among proximal groups of heterogeneous computing elements can play in elevating the achievable tradeoff between intelligence quality and resource efficiency. In this talk, I will discuss recent results on the analysis of fog learning processes which give insights into the impact that these topologies, along with other properties such as model characteristics and fog decision parameters, have on global training performance. Additionally, I will discuss the development of adaptive control methodologies that leverage such relationships for jointly optimizing relevant fog learning metrics.

Bio

Christopher G. Brinton is the Elmore Associate Professor of Electrical and Computer Engineering (ECE) at Purdue University.

His research interest is at the intersection of networking, communications, and machine learning, specifically in fog/edge network intelligence, distributed machine learning, and AI/ML-inspired wireless network optimization. Dr. Brinton is a recipient of five of the US top early career awards, from the National Science Foundation (CAREER), Office of Naval Research (YIP), Defense Advanced Research Projects Agency (YFA and Director’s Fellowship), and Air Force Office of Scientific Research (YIP), the IEEE Communication Society William Bennett Prize Best Paper Award, the Intel Rising Star Faculty Award, the Qualcomm Faculty Award, and roughly M in sponsored research projects as a PI or co-PI. He has also been awarded Purdue College of Engineering Faculty Excellence Awards in Early Career Research, Early Career Teaching, and Online Learning. He currently serves as an Associate Editor for IEEE/ACM Transactions on Networking, and previously was an Associate Editor for IEEE Transactions on Wireless Communications.

Prior to joining Purdue, Dr. Brinton was the Associate Director of the EDGE Lab and a Lecturer of Electrical Engineering at Princeton University.

He also co-founded Zoomi Inc., a big data startup company that holds US Patents in machine learning for education. His book The Power of Networks: 6 Principles That Connect our Lives and associated Massive Open Online Courses

Abstract

We describe our experience developing what we believe to be the world’s first large-scale production deployments of lightwave fabrics used for both datacenter networking and machine-learning applications.  Optical circuit switches and optical transceivers developed in-house have produced a lightwave fabric that is reconfigurable, low latency, rate agnostic, and highly available.  These fabrics have provided substantial benefits for long-lived traffic patterns in tightly-coupled machine learning clusters.  We also report results for a large-scale ML superpod with 4096 tensor processing unit chips that has more than one exaflop of computing power.

On Wednesday Dec 18h at 6:30PM in UH/Holmes Hall room 244, John Borland will present a seminar of the 2 years results of the IEEE Molokai Humanitarian project which was just published in the Oct 2024 issue of IEEE Electron Devices Magazine.  With funds from various IEEE groups including Electron Device Society, Smart Village, Region 6, Humanitarian Technology Board, Oregon PES chapter, MTT-S UH student chapter, several IEEE member donations and equipment donations from R&R Solar, Kumukit and RevoluSun we have reduced the Energy Burden for 15 Molokai Native Hawaiian families.  Our 2-year long endeavor will be described in detail.

Join us for a session on RF Communications. Find out the advancement in this technology 6G.

What is 6G? Find out the new technology available in this field. 

Concrete encased electrodes for grounding electrical power systems, also called Ufer grounds, are highly effective grounding systems when installed correctly. James will explain what constitutes a Ufer ground and how one can be easily constructed in accordance with the IEEE Standard 142-2007 (the Green Book) and the National Electrical Code (NEC). He will also explain what common errors and myths surround Ufer grounds as well as an error in the IEEE Green Book, and errors in interpreting the NEC. James will also explain how Ufer grounds are essential to effective lightning protection systems. James’ background as an experienced construction electrician and a B.S. Civil Engineer makes him uniquely qualified to explain civil/structural concepts and practices, and how these are relevant to Electrical Engineers.

Free Registration (with a Zoom account; you can get one for free if you don't already have it): 

https://sjsu.zoom.us/meeting/register/tZcsc-CoqjwpG9aPDHfg6Axqvn90i4uQRmqr 

Synopsis:

For a long time, the AI/ML community relied on traditional evaluation metrics such as the confusion matrix, accuracy, precision, and recall for assessing the performance of machine learning models. However, the rapidly evolving field has been raising several ethical concerns, which calls for a more comprehensive evaluation scheme. In easy-to-understand language, this talk will delve into the quantitative analysis of model performance, emphasizing the critical importance of explainability. As ML models become increasingly complex and pervasive, understanding their decision-making processes is paramount. We'll explore various performance metrics, their limitations, and the growing need for transparency. Topics covered include Cohen’s Kappa Statistic, Matthew's correlation coefficient (MCC), Confusion Matrix, Precision, Recall, G-measure, ROC Curve, Youden's J statistic, Type II Adversarial attack, R-squared, LIME, SHAP, and more.

Report to the security station on the south side of the building.

Hybrid Bonding has emerged as the technology of choice in the semiconductor industry for ultra-fine-pitch interconnection. With significant benefits for interconnect density and device performance, it will become widely adopted for a broad range of high-performance semiconductor devices in the years to come. The success of Hybrid Bonding technology for high-volume manufacturing depends critically on the process technology as well as materials and equipment. Design, performance characterization, thermal management and reliability are also important considerations to enable applications in various areas.

Join us to learn about this expanding field, and discover how it will affect heterogeneous integration and system design.

Humans make decisions and solve problems using heuristics (“thinking fast”) or abstract approaches such as modeling (“thinking slow”). Artificial intelligence approaches can similarly use either heuristics that are related to correlation and categorization, or use models that are related to causation. Predictive Engineering, which melds engineering modeling with probabilistic thinking, aligns closely with causation and an aspect of artificial intelligence called Causal Learning. Issues with some artificial intelligence approaches will be explored, with real (and sometimes controversial and provocative) examples, and promising approaches encompassing causation /predictive engineering will be discussed.