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 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. 🔹 The second 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. 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, August 26 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 [email protected] — 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

Recent advancements in machine learning, while powerful, are often burdened by significant computational and memory requirements, limiting their deployment in resource-constrained settings. Hyper dimensional Computing (HDC) emerges as an alternative with its simplicity, lightweight operations, and robustness to errors. By encoding data into high-dimensional vectors and performing efficient algebraic computations, HDC opens a new avenue as an efficient learning paradigm. In this talk, Dr. Fatemeh Asgarinejad will introduce the fundamentals of HDC and briefly discuss existing research that has extensively explored various stages of HDC algorithm. Then, she will present three key domains of her research: First, she will discuss PIONEER, a novel approach that employs learned projection vectors to optimize the encoding process. By leveraging neural networks to learn these vectors, PIONEER enables HDC to achieve high accuracy with significant computational efficiency. Second, she will present HDXpose, an adversarial attack framework that exploits an advantage of HDC: “explainability”. By strategically analyzing and perturbing influential input points, HDXpose effectively unveils vulnerabilities within HDC models, underscoring the need for robust security measures in HDC system design. Lastly, Dr. Asgarinejad will show an application of HDC in developing a cost-effective and noise-resilient pressure mat system for human activity recognition. The HDC-based system surpasses CNNs in accuracy and efficiency. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Fatemeh Asgarinejad Agenda: - Invited talk from Dr. Fatemeh Asgarinejad, an incoming Assistant Professor of Teaching in the Electrical and Computer Engineering Department at the University of California, Riverside. - Q/A Session Virtual: https://events.vtools.ieee.org/m/496707

The use of wearable electronic devices that can acquire vital signs from the human body noninvasively and continuously is a significant trend for healthcare. The combination of materials design and advanced microfabrication techniques enables the integration of various components and devices onto a wearable platform, resulting in functional systems with minimal limitations on the human body. Physiological signals from deep tissues are particularly valuable as they have a stronger and faster correlation with the internal events within the body compared to signals obtained from the surface of the skin. In this presentation, I will demonstrate a soft ultrasonic technology that can noninvasively and continuously acquire dynamic information about deep tissues and central organs. I will also showcase examples of this technology's use in recording blood pressure and flow waveforms in central vessels, monitoring cardiac chamber activities, and measuring core body temperatures. The soft ultrasonic technology presented represents a platform with vast potential for applications in consumer electronics, defense medicine, and clinical practices. Speaker(s): Dr. Sheng Xu Agenda: 6:50 - 7 PM: Registration 7-8 PM: Talk and Q&A Virtual: https://events.vtools.ieee.org/m/495898