We’re excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting groundbreaking innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter, this series brings together professionals, students, and tech enthusiasts to explore what’s next in emerging tech. Following an insightful June session focused on enterprise AI integration and large language model (LLM) development, we’re back this August after a brief summer break with another dynamic double-feature exploring AI at scale—from healthcare to production-ready ML systems. As AI adoption accelerates, so do the complexities of real-world deployment. This month’s talks tackle those complexities head-on, offering both strategic and technical perspectives on building reliable, scalable, and human-centered AI solutions. In this session: 🔹 The first talk bridges the gap between ML experimentation and production. Through a practical case study, it explores the full machine learning lifecycle—from training to CI/CD-enabled deployment—along with best practices in MLOps, model monitoring, and cross-functional collaboration. 🔹 The second talk delves into the deployment of agentic AI systems in healthcare, addressing challenges such as data heterogeneity, safety, regulation, and trust. You’ll learn about explanation-based and modular design principles, hybrid RAG-based deployment strategies, and real-world applications across triage, radiology, and dementia care. Key topics include: ✅ Designing safe, explainable agentic AI in healthcare ✅ Deployment frameworks using hybrid RAG models ✅ ML development lifecycle: from notebooks to production ✅ CI/CD pipelines, monitoring, and model versioning ✅ Scalable and collaborative MLOps strategies Whether you're building AI for regulated industries or scaling ML pipelines across teams, this session will provide the tools, frameworks, and real-world insights to drive your work forward. 📅 Join us on Tuesday, September 30 from 5:00 PM to 7:00 PM PT for an evening of learning, discussion, and community. 🎤 Interested in speaking at a future session? Reach out to swapnali.karvekar@ieee.org — we’re always looking for passionate voices shaping the future of technology. Let’s keep advancing innovation—together. Speaker(s): Vivek, Babul Agenda: Time (in PST) Activity 05:00pm - 05:15pm Check-in and networking 05:15pm - 05:30pm OCCS Chapter Introduction! 05:30pm - 06:00pm Speaker: Vivek Bharti 06:00pm - 06:30pm Speaker: Babul Sahu 06:30pm - 07:00pm Q/A Virtual: https://events.vtools.ieee.org/m/494867

The race toward Artificial General Intelligence (AGI) is accelerating, powered by ever-larger and more capable LLMs. But as these models scale, we are hitting the physical limits of general-purpose GPUs. Memory access is now slower and more energy-hungry than computation itself. Power demands are straining datacenter infrastructure. And as models span more chips, interconnect delays—not compute—become the bottleneck. This talk explores how custom silicon—such as AWS Trainium, Google TPU, Cerebras WSE, and Groq LPU—is designed to overcome these barriers. By keeping memory closer to compute, optimizing data movement, and delivering higher efficiency per watt, domain-specific accelerators are reshaping the hardware stack around the needs of LLMs. Attendees will gain a clear framework for understanding why this shift matters, how it breaks past the Memory, Power, and Interconnect walls, and what it means for building a more scalable, cost-effective, and energy-efficient foundation on the road to AGI. Speaker(s): Asheesh Goja, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/498701

IEEE PES & YP – Folsom Powerhouse Visit Folsom Powerhouse Visit – Explore the Past, Power the Future Step into history and see where modern electricity began! Join us for a fascinating visit to the historic Folsom Powerhouse, a landmark in hydroelectric power that once lit up Sacramento. This guided tour is open to everyone—students, young professionals, industry veterans, families, and curious minds alike. Whether you’re part of the IEEE PES group, exploring a career in energy, or simply interested in how things work, you’ll enjoy: - Walking through history: See the original equipment and learn how electricity was generated and transmitted in the late 1800s. - Understanding hydroelectric power: Explore the science, engineering, and environmental aspects behind this renewable energy source. - Connecting past to present: Learn how innovations in power systems have evolved and continue to shape our world. - Networking opportunities: Meet energy professionals, IEEE members, and others passionate about technology and sustainability. - Career inspiration: Young professionals can gain insights, industry connections, and perspective on how the energy field is changing. Come ready to be inspired, learn something new, and enjoy a unique slice of California’s energy history. Co-sponsored by: R60035 - Sacramento Valley Section Agenda: Agenda (Tentative): Folsom Powerhouse Visit Date: 10/04/2025 Time: 2:00 PM – 5:00 PM Location: Folsom Powerhouse State Historic Park --------------------------------------------------------------- 🕑 2:00 PM – Check-In & Welcome - Registration & welcome table - Light refreshments served - Introduction by IEEE PES & YP representatives - Overview of visit goals and schedule 🕝 2:30 PM – Guided Tour of Folsom Powerhouse - Discover the history of one of California’s earliest hydroelectric plants - Learn how electricity was generated and transmitted in the early 1900s - View original turbines, generators, and control equipment 🕓 4:15 PM – Networking & Refreshments - Engage in meaningful conversations with professionals and fellow attendees - Enjoy provided refreshments and snacks - Group photos 🕔 5:00 PM – Closing & Departure - Final remarks from IEEE organizers - Feedback & follow-up info shared - Event concludes 9980 Greenback Ln, Folsom, California, United States, 95630

Professor John Hennessy, past President of Stanford University (2000-2016) and Chairman of Alphabet Inc. will be in conversation with Alan J Weissberger of the IEEE Technology blog. This talk will be about the history of technologies and companies in Silicon Valley since the late 1970s. Later in the program they will be joined on stage by IEEE past President (https://iwrc.ieeeusa.org/blog/portfolio-items/thomas-coughlin/) to discuss recent IEEE accomplishments, current focus areas and suggestions on how to strengthen the world’s largest technology non-profit organization. Our conversation will cover the evolution of RISC (Reduced Instruction Set Computing) and its applications in smart phones, tablets and other devices. We will discuss the evolution of GPUs, the computational demands of machine learning, and the emergence of domain-specific architectures (DSAs). We will also discuss the founding of Atheros Communications (acquired by Qualcomm in 2011) and its development of chip sets for WiFi, Bluetooth and other OFDM (Orthogonal Frequency-Division Multiplexing) technologies. That will lead us into a brief discussion of WiFi – one of the most successful IEEE standards (802.11) – and Bluetooth, along with the associated semiconductor and equipment companies that developed those ubiquitous technologies. Finally, we will turn to Google’s history, particularly its research activities. As a Google Board member for more than two decades, Prof. Hennessy has played a role in helping develop Google's strategic direction. With the current pervasiveness of AI, what does that hold for the future of science, technology and higher education? This will be both an in person event at SCU and also an online virtual event with zoom. Pre registration is required for both. Parking at SCU Note: Parking is free for only 2 hours Link: (https://www.scu.edu/parking-and-transportation-services/parking-services/visitor-parking/) Speaker(s): John, Alan, Tom Agenda: 5:00 - 5:25 pm Registration and Networking 5:25 - 5:30 pm Intro by Tom Coughlin about the IEEE 5:30 - 6:15 pm Conversation with John Hennessy 6:15 - 6:55 pm Audience Q & A 6:55 - 7:00 pm Closing Remarks Bldg: Locatelli Student Activity Center, 500 El Camino Real, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/496561

#ieeeday Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/meeting/register/GGH84KjiSTiIr_W1K8MJVg Synopsis: In an era where data never sleeps, streaming algorithms offer a powerful toolkit for extracting meaningful insights from high-velocity data flows. This talk explores some foundational techniques that enable efficient, real-time analytics with minimal memory requirements. The algorithms covered include a clever bit-based strategy for approximating the count of 1s in a sliding window, ideal for binary streams where space efficiency is paramount. Another algorithm helps estimate statistical moments (mean, variance, skewness) using compact sketches, enabling a deeper understanding of stream distributions without storing the entire dataset. One other algorithm identifies trending items with exponential decay, giving more weight to recent data, a crucial method for dynamic environments like social media or sensor networks. Techniques like these form the backbone of intelligent stream processing. Through intuitive examples and practical applications, this session will demystify how these algorithms work, why they matter, and how they can be used to monitor, summarize, and react to data in motion. --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Speaker(s): Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/497694

[]IEEE Day/Week Lecture - from the IEEE History Center Silicon Valley is commonly acknowledged as the tech capital of the world. How did Silicon Valley come into being, and what can we learn for our own startups and tech hubs? How has Silicon Valley directly affected the IEEE? The story goes back to local Hams trying to break RCA’s tube patents, Stanford “angel” investors, the sinking of the Titanic, WW II and radar, and the SF Bay Area infrastructure that developed – these factors pretty much determined that the semiconductor and IC industries would be located in the Santa Clara Valley, and that the Valley would remain the world’s innovation center as new technologies emerge, and be the model for innovation worldwide. This non-technical talk will give an exciting and colorful history of development and innovation that began in Palo Alto in 1909. You’ll meet some of the colorful characters – Cyril Elwell, Lee De Forest, Bill Eitel, Charles Litton, Fred Terman, David Packard, Bill Hewlett, Bill Shockley and others – who came to define our worldwide electronics industries through their inventions and process development. We will profile four IEEE presidents from Silicon Valley: Fred Terman and his son Lew Terman; Bill Hewlett; and Charles (“Bud”) Eldon. You’ll understand some of the novel management approaches that have become the hallmarks of its tech startups. #IEEEDay Speaker(s): Paul Wesling, Virtual: https://events.vtools.ieee.org/m/500918

IEEE Day Ambassadors in collaboration with Santa Clara Valley Young Professionals present, IEEE Day: AI Insights Summit Join us for a virtual summit on AI, its applications, and responsible use of AI. This is a virtual event, presented by IEEE Ambassadors in IEEE Region 6, from Santa Clara Valley, Sacramento, Oakland East Bay, and Seattle, in collaboration with Santa Clara Valley YP. #IEEEDAY #IEEEDAY2025 Speaker(s): Antony, Gopi, Surendra, Vijay, Abhishek, Vivek Agenda: 9:00 - 9:15 AM: Welcome Session 9:15 - 9:30 AM: Introduction to IEEE Membership and Benefits 9:30 - 10:45 AM: Step into AI Era (Technical Session) -> Dive into emerging AI technologies, applications, and industry impact. 10:45 AM - 12:00 PM: Ethics in AI (Non-Technical Session) -> Discuss responsible AI use, societal implications, and ethical frameworks. 12:00 PM - 1:00 PM: Intelligent Infrastructure (Technical Session) Virtual: https://events.vtools.ieee.org/m/501645

General meetings consist of: 1. Updates on IEEE at UCM Activities. 2. Opportunities from IEEE and UC Merced (internships, workshops, networking, etc.) 3. Icebreaker. 4. Project updates (Humanoid Robot, Micromouse, Internation Future Energy Competition). Agenda: Meeting slides are available upon request as a BOX link. Room: 125, Bldg: Glacier, 5200 Lake Rd, Merced, California, United States, 95343

This is a hybrid in-person and online event. Pre-registration is required for either. >> DIFFERENT LOCATION FOR IN-PERSON MEETING THIS MONTH! Medical image-based modeling and digital twins have emerged as powerful tools to support patient-specific cardiac surgical planning in adults and children. This presentation will discuss 3D modeling techniques that provide a complete pipeline from medical image segmentation to 3D anatomic models and blood flow simulations. The technology that makes this possible was recently extended to model the whole heart, including blood flow, tissue mechanics, electrophysiology, cardiac contraction, and heart valves. This presentation will also discuss recent applications of tools for clinical decision support. A first example is in adult cardiac surgery, where patient-specific modeling has been applied for vein graft failure prevention after coronary bypass graft surgery. Another example is in pediatric cardiac surgery where models have been used for clinical decision support in valve repair, flow re-direction, and bi-ventricular reconstruction. The program will conclude with a discussion of the open-source software and data resources that are available via the (https://simvascular.github.io/) and the (https://www.vascularmodel.com/). Speaker(s): Alison Marsden, 925 Thompson Place, Sunnyvale, California, United States, 94085, Virtual: https://events.vtools.ieee.org/m/497126

The members of the Oakland/EastBay Life Members Affiliate Group Executive Committee hope your summer has gone well and look forward to seeing you again at our next meeting. The last meeting in July was full of energy and we hope that will continue. In line with our revised concept of pre-scheduling quarterly meetings on fixed dates, the next meeting will be October 15th at Beeb's in Livermore from 11 am to 2 pm. At this time no speaker has been identified but there will be a meeting either with a speaker to be identified later, or a self-moderated discussion on topics of current interest to the members. We are announcing the date now so you can reserve the date if so interested. If a speaker is identified this event description will be updated. Agenda: Presentations, discussions, and lunch. Buffet or order from menu depending upon attendance. IEEE Member feee is susidized. Bldg: Golf course retaurant, not pro shop, Beebs Sports Bar & Grill, 915 Club House Drive, Liveermore, California, United States, 94551

*****This vTools link is for purchase of Vendor Tables ONLY! No walk-in registrations.***** (Limit of 10 vendor tables so do not delay!) ***************************************************************************************************** Vendor table will be one 6-foot exhibit table. Vendor table includes one (1) attendee ticket. A power strip will be available upon request. For more than one (1) attendee to support the table, please register additional people using the regular attendee link: https://events.vtools.ieee.org/m/485039 Tape, Tacks, Nails may not be applied to walls, ceilings, or doors and are strictly prohibited. Outside food, non-alcoholic and alcoholic beverage are not allowed. IEEE and the Hotel are not responsible for any loss or damage to property belonging to you. Sign-in for attendees and continental breakfast will open at 7:15AM, so please be completely set up by 7:15AM. Vendors are encouraged (voluntary) to bring up to three (3) giveaways to be included in the overall raffle for attendees. ***************************************************************************************************** This one-day Technical Seminar will cover the fundamentals of grounding, bonding, and ground fault protection. The seminar will serve as a primer for engineers and a refresher for experienced engineers. During breaks and lunch there will be opportunities to network with your peers and meet with manufacturers. The registration cost includes a print copy of the Soares Grounding and Bonding 2023 Book (full). Please join us in attending this one-day Technical Seminar which will include an impressive list of speakers from Electrical Reliability Services (a Vertiv Company), ETAP, NEMA, Cummins, SEL, and PG&E. Seminar topics will include: - Electrical Grounding Systems – An Overview - Ground Grid Design and Electric Shock Protection - Grounding Electrode Systems and Service Grounding - Grounding Recommendations for On-Site Power Systems - Generator Stator Ground Fault Protection - Distribution Feeder High Impedance Ground Fault Testing, Findings, and Mitigation Strategies Plan to attend this timely, educational Seminar. Registration is now open! Speaker(s): Steve Park, Dr. Haijun Liu, Mike Stone, Shen Yoon, Rogerio Scharlach, James Tuccillo Agenda: 8:00AM-4:30PM (sign-in opens at 7:15AM) *****Vendors should be set up and ready by 7:15AM.***** DoubleTree by Hilton Hotel Pleasanton at The Club, 7050 Johnson Drive, Pleasanton, California, United States, 94588

This one-day Technical Seminar will cover the fundamentals of grounding, bonding, and ground fault protection. The seminar will serve as a primer for engineers and a refresher for experienced engineers. During breaks and lunch there will be opportunities to network with your peers and meet with manufacturers. The registration cost includes a print copy of the Soares Grounding and Bonding 2023 Book (full). Please join us in attending this one-day Technical Seminar which will include an impressive list of speakers from Electrical Reliability Services (a Vertiv Company), ETAP, NEMA, Cummins, SEL, and PG&E. Seminar topics will include: - Electrical Grounding Systems – An Overview - Ground Grid Design and Electric Shock Protection - Grounding Electrode Systems and Service Grounding - Grounding Recommendations for On-Site Power Systems - Generator Stator Ground Fault Protection - Distribution Feeder High Impedance Ground Fault Testing, Findings, and Mitigation Strategies Plan to attend this timely, educational Seminar. Registration is now open! For Group Registrations, please list all attendee email addresses under Special Requests. ***** Early-Bird registration closes on June 26, don’t delay!***** (Registration is limited to 100 attendees and must be completed on vTools. No walk-in registrations.) Speaker(s): Steve Park, Dr. Haijun Liu, Mike Stone, Shen Yoon, Rogerio Scharlach, James Tuccillo Agenda: 8:00AM-4:30PM (sign-in opens at 7:15AM) DoubleTree by Hilton Hotel Pleasanton at The Club, 7050 Johnson Drive, Pleasanton, California, United States, 94588

Next Generation Two-photon 3D Printing Technologies [] Abstract: Utilizing a suite of additive manufacturing technologies for applications in responsive and architected materials, energy storage, carbon recycling, microfluidics, quantum computing, and inertial confinement fusion [] []Speaker: Dr. Xiaoxing Xia Staff Scientist Lawrence Livermore National Lab Xiaoxing Xia is a staff scientist at the Lawrence Livermore National Laboratory, California, USA. He leads projects in developing next generation two-photon 3D printing technologies to achieve higher throughput, finer resolution, and multi-materials printing capability. His team utilizes a suite of additive manufacturing technologies for applications in responsive and architected materials, energy storage, carbon recycling, microfluidics, quantum computing, and inertial confinement fusion. He received his PhD in Materials Science from California Institute of Technology and BA in Physics from University of Chicago. AGENDA: Thursday October 16, 2025 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar Please register on Eventbrite before 9:30 AM on Thursday October 16, 2025 $4 IEEE members $6 non IEEE members (discounts for unemployed and students ) See examplesAdd Co-sponsored by: 636940-Santa Clara Valley Section Chapter,EMB18 Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051

We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent, but the term AI was coined (1955) not too long after the invention of computing devices. However, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see: - (https://www.tableau.com/data-insights/ai/history) - (https://en.wikipedia.org/wiki/Logic_Theorist) What has changed, though, in recent times, is the amount of computation that can be performed. GPUs have made tremendous progress, and it is now possible to do heavy computation with very large amount of memory in real time. The terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided, or one needs enhanced or use better tools. Neural networks are normally used to perform AI calculations: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works. We will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used. We will go over some caution around data analysis and what to watch out for when using AI. Speaker(s): Dr Md Usman Agenda: - 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction - 14:10 to 14:20 PM : Introduction by Gora Datta, FHL7 - 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman - The difference between AI and ML, - Biological basis of some AI networks, - Basics of how an AI model is trained and what does it mean, - Advantages and disadvantages of using AI – why should we use it, and what does it measure anyways? - What are large language models (LLM), and their usefulness in medicine, - Will understand some examples of using AI, and - Know when to use AI for health measurements. - 15:55 to 16:00 PM : Wrap Up Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507631

General meetings consist of: 1. Updates on IEEE at UCM Activities. 2. Opportunities from IEEE and UC Merced (internships, workshops, networking, etc.) 3. Icebreaker. 4. Project updates (Humanoid Robot, Micromouse, Internation Future Energy Competition). Agenda: Meeting slides are available upon request as a BOX link. Room: 125, Bldg: Glacier, 5200 Lake Rd, Merced, California, United States, 95343

Join us for an essential perspective on the future of AI systems and get insights into the state of the Chapter. As organizations accelerate the adoption of generative and agentic AI, two pressing challenges have emerged: 1️⃣ Identifying emerging threats 2️⃣ Securing autonomous systems This event features a leading industry expert addressing these critical issues, followed by updates on the state of our chapter from the IEEE CIS SCV Chair. 🎤 Talk 1 Securing Agentic AI: From Security Risks to Practical Defenses for Autonomous Systems Speaker: Dewank Pant, Engineer and Researcher 🎤 Talk 2 State of the Chapter Speaker: Dr. Vishnu S. Pendyala, Chair, IEEE CIS Santa Clara Valley Chapter Co-sponsored by: Vishnu S. Pendyala, San Jose State University Speaker(s): Dewank, Dr. Vishnu S Pendyala Room: MLK Room 225, Dr. Martin Luther King, Jr. Library (SJSU), 150 E San Fernando St San Jose, California 95112, San Jose, California, United States, Virtual: https://events.vtools.ieee.org/m/501651

The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required): First Speaker: Praveen Gupta ((https://www.linkedin.com/in/guptapraveen2/)) Title: Prompt Engineering Toolkit: Building with LLMs at Scale Abstract: The Prompt Engineering Toolkit offers a solution, providing a comprehensive framework for authoring, testing, and evaluating prompts. This approach enables the easy creation, testing, sharing, and dynamic customization of prompts, supporting collaboration and utilizing evaluation methods like LLM as Judge and Human-in-the-loop to ensure prompt quality and monitor performance at scale. Bio: Praveen Gupta is a Senior Software Engineer at Uber with over 17 years of experience building transformative products that scale to millions of users worldwide. At Uber, he leads the design and implementation of scalable systems, including initiatives for the Autonomous Vehicle Support platform in collaboration with multiple AV providers. Previously, Praveen spearheaded the development of Adobe Marketo Data Streams, a product now used by enterprise leaders such as Google, Amazon, and Microsoft ((https://blog.developer.adobe.com/introducing-the-adobe-marketo-engage-data-streams-61198b567fbb)). Earlier in his career at Thomson Reuters, he helped build a cloud-based tax platform that transformed the indirect tax domain ((https://tax.thomsonreuters.com/en/insights/white-papers/how-the-cloud-beats-on-premise-tax-tech)). Second Speaker: Venkata Keerthi Singamreddy ((https://linkedin.com/in/venkata-keerthi-singamreddy-a950ba32)) Title: AI-Driven Database Administration and Performance Optimization with Oracle 23ai Abstract: Managing modern enterprise databases is becoming more challenging as workloads grow, applications demand real-time responses, and security threats evolve. Traditional database administration often relies on manual tuning, reactive troubleshooting, and repetitive maintenance, which can be time-consuming and error prone. Oracle Database 23ai introduces a new era of AI-powered administration, designed to automate these tasks and help DBAs stay ahead of performance and security challenges. With capabilities such as AI Vector Search, automatic workload prediction and resource optimization, intelligent indexing, and the built-in SQL Firewall, Oracle 23ai enables databases to self-tune, detect anomalies in real time, and deliver faster, more reliable performance. This session will cover the common pain points DBAs face today, and how Oracle 23ai addresses them with automation and predictive intelligence. Real-world use cases and performance benchmarks will be highlighted to show measurable improvements in query response times, resource efficiency, and uptime. The talk will also explore how the DBA role is evolving, shifting from routine maintenance to strategic focus on architecture, governance, and innovation. Finally, we will discuss best practices for adoption and provide a glimpse into the future of AI-driven database management, where systems self-optimize with minimal human effort. Bio: Oracle Certified Associate with over 14 years of technical experience as Oracle Database Administrator providing 24/7 support for mission-critical OLTP production systems, development environments, and enterprise implementations. Expertise in database installations, upgrades, migrations, patching, cloning, and performance tuning across Oracle versions from 10g to 19c on multiple UNIX and Linux platforms. Have deep knowledge of high-availability solutions such as Oracle RAC and Data Guard, as well as replication and integration technologies including GoldenGate and Exadata. Proficient in Oracle Enterprise Manager (OEM) 12c/13c, RMAN cloning, and ZDLRA backup solutions. Skilled in diagnosing and resolving performance issues, optimizing large-scale database systems, and automating database tasks using Shell scripting and Ansible. Passionate about the future of AI-driven database solutions and focuses on bridging traditional DBA practices with emerging technologies like Oracle 23ai, enabling organizations to achieve smarter, faster, and more secure database management. Speaker(s): Praveen Gupta, Venkata Keerthi Singamreddy Virtual: https://events.vtools.ieee.org/m/505567

Title: Brain Machine Interface: Challenges and Opportunities Date/Time: (PST)- 12:00pm to 1:00pm Thu, Oct 23 2025 Abstract: Brain Machine interfaces have the potential to revolutionize therapy for neurological diseases, because they target the nervous system with high spatiotemporal resolution as opposed to alternative therapies. Next-generation brain machine interfaces will benefit from an implantable neural recording IC with a dense, high channel count recording array that can be directly matched to a micro-electrode array (MEA) at the pitch of neurons (≈30 µm) to effectively capture spatiotemporal patterns of neural activity at single-cell resolution. These devices must support simultaneous recording from multiple thousands of neurons within the form factor and power budget of a fully implanted device. Hence, there is a requirement for an architectural paradigm shift to meet the design targets. In this talk, we will delve into specific challenges and approaches to achieve intended targets. Speaker Bio: Dante G. Muratore received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin, Italy in 2012 and 2013, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology, USA. From 2016 to 2020, he was a Postdoctoral Fellow at Stanford University, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020, he is an assistant professor in the Bioelectronics Section at Delft University of Technology, Netherlands, where he leads the Smart Brain Interfaces group. His research focuses on hardware design for brain-machine interfaces, bioelectronics and machine learning. https://microelectronics.tudelft.nl/People/bio.php?id=690 (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m3d5beb80b9d84d4efbce27fdda8cc485) https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m3d5beb80b9d84d4efbce27fdda8cc485 Meeting number: 2535 991 4718 Join from a video system or application Dial 25359914718@ieeemeetings.webex.com You can also dial 173.243.2.68 and enter your meeting number. To dial from an IEEE Video Conference System: *1 2535 991 4718 Tap to join from a mobile device (attendees only) (tel:%2B1-415-655-0002,,*01*25359914718%23%23*01*) United States Toll (tel:1-855-282-6330,,*01*25359914718%23%23*01*) United States Toll Free Virtual: https://events.vtools.ieee.org/m/490922

[]For over three decades, Sn-based material solder joints have remained the silent workhorses of electronic packaging. Since the transition from eutectic Sn-Pb to SAC305 alloy systems, these interconnects have sustained the fast-moving pace of system- and device-level integration with sufficient mechanical, thermal, and electrical reliability. While the semiconductor industry has undergone unprecedented transformation toward higher performance systems, the SAC305 alloy solder joints have quietly absorbed stress, ensured functionality, and maintained manufacturability across generations of products. However, the emergence of high-performance computing (HPC) and AI-driven network systems places unprecedented demands on these long-serving SAC305 interconnects. Are we asking too much from the long pasting current solder material and technology that has already given so much? This seminar revisits the fundamentals of solder joint evolution, exploring why it has been so effective for thirty years and the inherent limitations now emerging. The general thermo-mechanical and electrical performance degradation mechanism will be reviewed, and compared with the new material systems such as low melting temperature alloy systems. The lessons between these different degradation mechanisms and further demand and new boundary conditions will provide a view of what solder challenges in the AI era might look like. We will discuss whether the era of traditional solder joints is approaching its boundary of service, and what emerging roles solder might play. Looking forward, we will consider how interconnects must adapt or be reimagined to meet the challenges of the next generation of AI and High-Performance computing systems. Speaker(s): Tae-Kyu Lee, Virtual: https://events.vtools.ieee.org/m/501073

We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent, but the term AI was coined (1955) not too long after the invention of computing devices. However, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see: - (https://www.tableau.com/data-insights/ai/history) - (https://en.wikipedia.org/wiki/Logic_Theorist) What has changed, though, in recent times, is the amount of computation that can be performed. GPUs have made tremendous progress, and it is now possible to do heavy computation with very large amount of memory in real time. The terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided, or one needs enhanced or use better tools. Neural networks are normally used to perform AI calculations: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works. We will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used. We will go over some caution around data analysis and what to watch out for when using AI. In this lecture, we will take this discussion further. AI/ML is finding more frequent use in medical devices especially wearables. We will briefly discuss how exactly same data can result in very different outcomes and conclusions. We will then discuss differences between making and shipping a generic consumer device and a medical device - why medical devices cost more both in terms of time and money. Finally, we will consider a (imaginary) medical device and take it through the process of designing, validating, and getting it through the FDA for pre-market approval. In this respect, we will review different types of FDA approvals, and strategies for it. Speaker(s): Dr Md Usman Agenda: - 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction - 14:10 to 14:20 PM : Introduction by Gora Datta, FHL7 - 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman - The difference between AI and ML, - Biological basis of some AI networks, - Basics of how an AI model is trained and what does it mean, - Advantages and disadvantages of using AI – why should we use it, and what does it measure anyways? - What are large language models (LLM), and their usefulness in medicine and medical devices - Will understand some examples of using AI, and - Know when to use AI for health measurements. - 15:55 to 16:00 PM : Wrap Up Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507676

[] CYBERSECURITY AWARENESS MONTH Cybersecurity Starts with You: Protect, Prevent, Prevail Since 2004, the President of the United States and Congress have declared October to be Cybersecurity Awareness Month. Cyber-attacks on corporations, governmental agencies and individuals are becoming increasingly widespread and regular, as well as more complex. The Virtual Sixth Annual Los Angeles IEEE Coastal Los Angeles Computer Society Cybersecurity Summit-South Bay that brings together government officials, private business executives and cybersecurity experts to discuss the current and emerging threats that exist in today’s sophisticated cyber environment, and the technological advancements being made to countermeasure and manage these risks. (https://www.computer.org/) (https://www.csudh.edu/) https://www.waseda.jp/top/en/(https://www.nubroad.com/)(https://www.isi.edu/) https://www.ucla.edu(https://www.stmarytx.edu/) (https://www.scu.edu/) https://www.linkedin.com/company/immuniweb/ (https://aileap.tech/)https://www.linkedin.com/company/ieee-computer-society-in-san-antonio?lipi=urn%3Ali%3Apage%3Ad_flagship3_messaging_conversation_detail%3B9%2FFvMWdzSWKmSnQdGt1wfQ%3D%3D (https://www.linkedin.com/company/ieee-computer-society-scv-chapter/posts/?feedView=all) Resources for Cyber Security Awareness: Think Before You Click: Your Digital Life Depends on It (https://www.dhs.gov/topic/cybersecurity) (https://www.us-cert.gov/ncas/tips) (https://staysafeonline.org/) (https://www.dhs.gov/national-cyber-security-awareness-month) - (http://www.afcea.org/site/sites/default/files/files/AFC_WhitePaper2015_R3_SPREADS_lowres.pdf) Co-sponsored by: Dr. Mehrdad Sharbaf Agenda: Please Join us virtually for The Sixth Annual Los Angeles IEEE CLAS Computer Society Cybersecurity Summit-South Bay Secure Together: Building a Safer Digital World Welcome Keynote Message Time: 9:00 am Dr. Mehrdad S. Sharbaf, IEEE Coastal Los Angeles Computer Society- Chair, Founder & CEO, Sharbaf and Associates LLC/Adjunct Professor CSUDH (https://www.linkedin.com/in/mehrdad-s-sharbaf-30a23214/) Welcome Keynote Remark Message Distinguished Guest Speaker Professor Hironori Washizaki, Head of Department, Associate Dean, Waseda University, and IEEE Computer Society Elected President 2025, Time 9:15 am (https://www.linkedin.com/in/hironori-washizaki-aa085184/) Distinguished Guest Speaker Dr. Chris Mattmann, Chief Data and Artificial Intelligence Officer, UCLA, Time 9:30 am (https://www.linkedin.com/in/chrismattmann/) Distinguished Guest Speaker Dipti Srivastava, VP/Director Engineering, Nubroad LLC, Time 10:00 am (https://www.linkedin.com/in/diptishrivastav/) Distinguished Guest Speaker Terry Benzel, Managing Director, USC Information Sciences Institute, Former Director, Networking and Cybersecurity Division at USC Information Sciences Institute, IEEE Fellow, Time 10:30 am (https://www.linkedin.com/in/terry-benzel-74818/) Distinguished Guest Speaker Malek Ben Salem, Ph.D., Founder & CEO, AILeap, Time 11:00 am (https://www.linkedin.com/in/malek-ben-salem/) Distinguished Guest Speaker Dr. Cyril Onwubiko, Business Information Security Officer at Barclays | Board Member, IEEE Computer Society Time 11:30am (https://www.linkedin.com/in/cyrilonwubiko/) Distinguished Guest Speaker Dr. Ilia Kolochenko, CEO at ImmuniWeb, Attorney-at-Law, Adjunct Professor of Cyber Law & Cybersecurity, Time 12:00pm (https://www.linkedin.com/in/kolochenko/) Adjourn at 12:30pm Please Join IEEE Computer Society Build your technical skills, discover new opportunities, and connect to a global community of technologists. (https://www.computer.org/membership) Virtual: https://events.vtools.ieee.org/m/497356

In-person networking starts at 6:30PM Talk: 7:00 PM to 8:00PM Abstract: In this talk, audience will be introduced to the fundamentals and the latest technology concepts of automotive millimeter wave 4D imaging radar which has become an essential part of the autonomous vehicles. An overview of key signal processing challenges, such as MIMO waveform processing and sparse array angle estimation, among others, will also be discussed. Speaker(s): Ryan Wu, Room: 1308, Bldg: 402, 500 El Camino Real, Sobrato Campus for Discovery and Innovation, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/506686

Inferencing has become ubiquitous across cloud, regional, edge, and device environments, powering a wide spectrum of AI use cases spanning vision, language, and traditional machine learning applications. In recent years, Large Language Models (LLMs), initially developed for natural language tasks, have expanded to multimodal applications including vision speech, reasoning and planning each demanding distinct service-level objectives (SLOs). Achieving high-performance inferencing for such diverse workloads requires both model-level and system-level optimizations. This talk focuses on system-level optimization techniques that maximize token throughput and minimize cost per token, maintaining achieve meeting user experience metrics and inference service-provider efficiency. We review several recent innovations including KV caching, Paged/Flash/Radix Attention, Speculative Decoding, and KV Routing, and explain how these mechanisms enhance performance by reducing latency, memory footprint, and compute overhead. These techniques are implemented in leading open-source inference frameworks such as vLLM, SGLang, Hugging Face TGI, and NVIDIA NIM, which form the backbone of large-scale public and private LLM serving platforms. The use of GPU Training, Inference and Analysis clusters with Multi-Instance-GPU's (MIG), and Federated Models with QML applications is now become practical. Attendees will gain a practical understanding of the challenges in delivering scalable, low-latency LLM inference, and of the architectural and algorithmic innovations driving next-generation high-performance inference systems. Co-sponsored by: eMerging Open Tech Foundation Speaker(s): Ravishankar, Agenda: - Introduction to INGR with AIML & QIT working groups (Baw Chng + Prakash Ramchandran) - 10 mts - High Performance Inferencing for LLMs - By Dr. Ravishankar Ravindran ( Tech. Director eOTF - Advisory) -60 mts - Q&A - 20 mts Virtual: https://events.vtools.ieee.org/m/508671