Monthly Lone Star Section Executive Committee Meeting Agenda: Room: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/524438

IEEE Lone Star Section EMBS Chapter and the Life Members Affinity Group will host Drs. Laura A. Ward and Nicholas Ward for a book signing and presentation. Books will be available for purchase on-site. Talk Title: "Future Ready: How AI Is Shaping Our World and Transforming the Workforce" Abstract: This talk explores how artificial intelligence is reshaping industries, redefining workforce roles, and accelerating the pace of technological disruption. Moving beyond hype, it provides a structured, engineering-informed perspective on how AI systems operate, where they deliver real value, and where risks emerge, particularly in critical infrastructure and decision-making environments. The session introduces a framework for becoming “future ready,” focused on three pillars: understanding AI fundamentals, adapting skillsets to human-AI collaboration, and implementing governance strategies that ensure reliability, accountability, and security. Drawing from real-world applications in energy systems and infrastructure, the talk highlights how AI can enhance operational efficiency, predictive capabilities, and system resilience while also emphasizing the importance of human oversight and ethical deployment. Biography: Drs. Laura A. Ward and Nicholas Ward are professionals working at the intersection of technology, systems thinking, and applied innovation. Dr. Ward is an Electrical Engineer and Energy Systems Scientist with over 15 years of experience in power systems, grid modernization, and advanced technologies at the intersection of engineering and policy. She holds a Ph.D. in Electrical Engineering and currently serves as a Clean Energy Innovator Fellow with the U.S. Department of Energy, hosted at the District of Columbia Department of Energy & Environment. Her work focuses on integrating emerging technologies, including artificial intelligence, into critical infrastructure systems, with an emphasis on reliability, governance, and workforce transformation. Nicholas Ward complements this work through a multidisciplinary perspective on technology adoption, practical implementation, and workforce adaptation, contributing to the translation of complex technical concepts into accessible, real-world applications. Together, they bring a combined perspective that bridges technical depth with strategic insight on how AI is reshaping industries and the future of work. Registration details: Seating goes to those who register via this vtools event in the order received; plan ahead to REGISTER. Registration Fees: At the door, there is a $20.00 fee for Members, $30.00 for Guests and $5.00 for Students. We accept Cash or Check, no credit cards. Exact amounts preferable. Remainder of the tab will be picked up by the EMB. Speaker(s): Dr. Laura Ward, Dr. Nicholas Ward Agenda: 11:00 - Arrival 11:30 - Book signing 12:00 - Presentation 13:00 - Adjourn Alamo Cafe, 14250 San Pedro Ave, San Antonio , Texas, United States, 78232

New officer training and event planning/support. San Antonio, Texas, United States

The IEEE Computer Society Seattle Section and the IEEE UW Bothell Student Chapter invite you to an evening of engaging session featuring two expert speakers sharing insights on cutting-edge advancements in Artificial Intelligence and large-scale data systems. As part of the program, Madhvi Sharma, Senior Engineering Manager at Oracle Health Data Intelligence, will present “Transforming Healthcare with AI”. Isaac Dasari, Data Engineer specializing in large-scale data and analytics systems, will present “Designing Petabyte-Scale Data Systems for Modern Analytics and AI”. Why Attend? - - Gain insights from industry experts - Discover real-world applications of AI and data engineering - Network with peers and professionals - Stay ahead in the rapidly evolving tech landscape Hosted by: IEEE Computer Society Seattle Section & IEEE UW Bothell Student Chapter Audience: Software engineers, system architects, cloud engineers, IoT developers, and students interested in scalable system design We look forward to seeing you there! Speaker(s): Madhvi Sharma, Isaac Dasari Agenda: 05:30 PM Welcome and refreshments 05:45 PM Transforming Healthcare with AI 06:30 PM 15-min break 06:45 PM Designing Petabyte-Scale Data Systems for Modern Analytics and AI 07:30 PM Networking + Wrap up Room: UW1-261, Bldg: UW1, 18115 Campus Way NE, Bothell, Washington, United States, 98011, Virtual: https://events.vtools.ieee.org/m/550555

There is a fee of $20 per IEEE members, $25 for guests and $5 for students to cover the cost of the meal which you can select from the special luncheon menu. Please bring cash or a check as we cannot process credit cards at this time. Lunch items are offered via a menu of three options plus tea or water. We appreciate your consideration and we look forward to seeing you there. Presentation Outline: - Quick LED Basics Temperature and Color - Flicker in the 20th century - Flicker Non linear electronics - Flicker in the 21st century - Noticeable Flicker in LED lighting - Who can avoid the problem Co-sponsored by: EMB Speaker(s): Curtis Cryer, , Room: Private Room, La Fonda Mexican Food, 8633 Crownhill Blvd, San Antonio , Texas, United States, 78209

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies and Artificial Intelligent Series (GET-AI) Series—a monthly platform dedicated to spotlighting transformative 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 the cutting edge of what’s possible. Following a highly engaging April session on Generative AI, where we explored core concepts such as LLMs, RAG, Agents, MCP, and hands-on AI application development, we’re excited to bring you our May Tech Talk focused on “Security in AI.” As AI systems evolve—from traditional detection models to LLM-powered agents interacting with real-world tools—they introduce powerful capabilities along with entirely new security risks. This session brings together cutting-edge research and practical demonstrations to explore how we can build secure, trustworthy AI systems at scale. This double-feature session combines deep technical insights with real-world security demonstrations, designed for architects, developers, researchers, and security leaders. Session 1: Intelligent Attack Detection & Provenance in Modern Systems (45 mins) Modern enterprises generate massive, fragmented logs—making it difficult to move from isolated alerts to meaningful security insights. In this session, we explore how AI is transforming attack detection and forensic analysis: - Graph-Based Intrusion Detection Learn how unsupervised graph representation learning uncovers complex, multi-step attacks hidden in network activity. - Federated Learning for Cross-Organization Security Discover how organizations can collaborate on threat detection without sharing sensitive data, preserving privacy while improving accuracy. - LLM-Powered Security Intelligence See how Large Language Models (LLMs) convert low-level alerts into high-level, actionable insights, enabling faster and smarter response. 👉 Takeaway: Move from fragmented alerts to intelligent, end-to-end attack understanding (attack provenance). Session 2: Securing AI Agents — MCP Threats & Defense Strategies (45 mins) As AI agents integrate with tools, APIs, and external systems, they introduce new and largely uncharted attack surfaces. This session includes a live, end-to-end demonstration of how AI agents can be compromised—and how to secure them. - Understanding MCP-Style Architectures Explore how agents dynamically invoke tools—and why this blurs the line between trusted instructions and untrusted data. - Live Demo: Tool Poisoning & Agent Manipulation Watch how adversarial inputs embedded in tool metadata or responses can: - Manipulate agent behavior - Trigger unintended actions - Lead to data exfiltration - Layered Security Framework for AI Agents Learn practical defenses, including: - Tool authentication - Response sanitization - Schema validation - Context isolation - Real-Time Evaluation See how these defenses prevent attacks without impacting performance. 👉 Takeaway: Gain actionable strategies to secure AI agents in real-world enterprise environments. Pradyumna Kodgi Principal Product Manager | Oracle Corporation (Oracle Health & AI) IEEE Senior Member | Vice Chair, IEEE Engineering in Medicine and Biology Society – Orange County Member, IEEE AI Agentic Systems & AI Policy Committees 📍 California, USA 📧 [email protected] 🔗 LinkedIn: linkedin.com/in/pkodgi Co-sponsored by: Pradyumna Kodgi Speaker(s): Zhou, Sreekanth Agenda: Securing AI: From Innovation to Resilience AI is rapidly transforming how we build intelligent systems—but as capabilities grow, so do security risks. From LLM-powered agents to tool-integrated architectures, the question is no longer just what AI can do—but how do we secure it? In this interactive session, we cut through the noise and break down AI security in practical, real-world terms—so you can understand not just the risks, but how to defend against them. --------------------------------------------------------------- 🔍 What You’ll Explore - How modern AI systems (LLMs, agents, MCP) introduce new attack surfaces - The shift from traditional security to AI-driven threat models - Key security concepts—explained clearly and practically - Real-world attack scenarios and emerging threat patterns --------------------------------------------------------------- 💡 What Makes This Session Different This isn’t just theory—you’ll see AI systems under attack and defense in action. Through a live, end-to-end demonstration, we’ll show how AI agents can be manipulated—and how layered security approaches can prevent these attacks in real time. --------------------------------------------------------------- 🛠️ Practical Takeaways You’ll walk away with actionable strategies and frameworks you can apply immediately, including: - Securing AI agents interacting with external tools - Validating and sanitizing untrusted inputs - Designing trust boundaries in AI-driven architectures --------------------------------------------------------------- 🎯 Who Should Attend - Security professionals and architects working with AI systems - Engineers and developers building AI/LLM-based applications - Product managers and leaders driving AI adoption - Anyone interested in understanding AI risks and defenses --------------------------------------------------------------- ✨ What You’ll Walk Away With - A clear understanding of emerging AI security risks - Practical knowledge of how to secure AI agents and systems - Real-world insights into attack prevention and defense strategies --------------------------------------------------------------- As AI systems become more autonomous and integrated into enterprise workflows, security becomes foundational—not optional. This session will equip you with the mindset and tools to build AI systems you can trust. 5270 California Ave , Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/557806

Monthly Lone Star Section Executive Committee Meeting Agenda: Room: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/524439

New officer training and event planning/support. San Antonio, Texas, United States

This year's theme is Technology with Purpose: Innovate Responsibly, Inspire Globally, Lead with Integrity. Join distinguished panelists for a discussion in cybersecurity at Southwest Research Institute. Registration is open to the public. Agenda: 11:45 AM - Lunch Served 12:00 PM - Panel Begins 12:45 PM - Open Q&A Room: 1st Floor Presentation Room, Bldg: 265, 6220 Culebra Rd, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/556462

Monthly Lone Star Section Executive Committee Meeting Agenda: Room: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/524440