Hosted via Google Meet - https://meet.google.com/pqw-trcy-xpg The financial industry is entering a new phase of intelligence—one where AI systems are no longer just analytical tools but autonomous collaborators capable of interpreting goals, reasoning over complex data, and taking context-aware actions. This talk explores the emergence of agentic AI systems in finance—AI architectures designed with intent, memory, and decision agency at their core. We’ll examine how these systems differ from traditional automation by introducing the concept of goal-driven autonomy: agents that plan, execute, and self-reflect across dynamic financial environments. Drawing from real-world applications such as loan underwriting, portfolio monitoring, and compliance intelligence, the session will unpack how planners, executors, and reflectors interact within an agentic loop to make transparent, auditable decisions. The discussion will also highlight enabling technologies—large language models as reasoning engines, retrieval-augmented generation (RAG+) for contextual grounding, and knowledge graphs for structured memory—and how they converge to form adaptive decision frameworks. Finally, we’ll address the critical dimensions of safety, alignment, and regulatory oversight required to operationalize agentic AI responsibly in financial ecosystems. Participants will gain a systems-level understanding of how to engineer intent into AI, design autonomous yet trustworthy financial agents, and prepare for a future where decision-making is increasingly shared between humans and intelligent systems. --------------------------------------------------------------- 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): Dhivya Nagasubramanian Virtual: https://events.vtools.ieee.org/m/508173

Millimeter-wave (mmWave) power amplifiers (PAs) are critical building blocks in next-generation radar, satellite, defense, and 6G communication systems, where output power, bandwidth, and efficiency must be achieved under stringent size, weight, and power (SWaP) constraints. Among the enabling technologies, Gallium Arsenide (GaAs) and Gallium Nitride (GaN) continue to dominate due to their complementary strengths in linearity, noise performance, and high-power density. This talk will focus on design considerations unique to mmWave GaAs and GaN PAs, with particular emphasis on stability and biasing challenges at frequencies above 20 GHz. Unlike lower microwave designs, mmWave PAs are highly susceptible to low-frequency oscillations, odd-mode instabilities, and bias-induced resonances. To mitigate these, stability networks—ranging from RC shunt loading and resistive feedback to series loading and quarter-wave stabilization—must be co-optimized with matching and biasing schemes. Special attention will be given to the integration of stability networks with bias networks, where parasitics from bias chokes, decoupling capacitors, and high-impedance bias lines can introduce additional poles/zeros in the response, affecting both gain flatness and unconditional stability. The presentation will review practical approaches to stabilizing mmWave PAs without compromising efficiency or bandwidth, including the use of lossy transmission lines, broadband bias tees, and RC filtering strategies tailored for GaAs vs. GaN processes. Case studies will illustrate how bias network design impacts stability margins and overall PA performance, and how distributed versus lumped stabilization choices evolve with frequency. The session will conclude with a discussion of packaging and integration considerations, where bondwire inductances, via transitions, and LTCC/SiP bias routing play a defining role in amplifier stability at mmWave frequencies. Speaker(s): Asmita Dani, Room: 4021, Bldg: Sobrato Campus for Discovery and Innovation, Santa Clara University, 500 El Camino Real, Santa Clara, California, United States, 95054, Virtual: https://events.vtools.ieee.org/m/505939

Abstract: Advances in soft materials, low-power circuits, and wireless energy harvesting now allow imperceptible, long-lived bioelectronic systems that are practical beyond the lab bench. This talk presents translational pathways for multimodal bioelectronics that bridge engineering innovation with clinical impact. We highlight epidermal and implantable platforms that acquire high-fidelity biosignals—EEG/IMU for neonatal seizure risk and sleep, ECG–SCG–PCG for cardiopulmonary coordination, and oral ISFET-based pH sensors for chemo- physiological context—and describe the materials, packaging, and system architectures that enable stable, week-scale wear. Beyond device physics, we emphasize translation: firmware that guarantees sub-10 ms synchronization across channels, analytics pipelines that integrate signal quality indices with explainable ML models, and HIPAA-compliant clinician dashboards that transform continuous raw streams into actionable insights. Case studies from NICU deployments and adult cohorts illustrate how biosymbiotic devices can support seizure detection, brain–heart dysregulation screening, and personalized therapy planning. By uniting materials, systems, and AI with real clinical use, these efforts outline a roadmap for multimodal digital healthcare that is both technically rigorous and translatable to patient care. References: PNAS June 2025 122 (23) e2501220122; Nature Medicine (under review); Nature BME (under submission) [] Speaker(s): Assist. Prof. Yayun Du Agenda: 6:50 - 7 PM: Registration 7-8 PM: Talk and Q&A Virtual: https://events.vtools.ieee.org/m/515108