The IEEE Nanotechnology Council – North Jersey Chapter (CH01288, NANO42) is pleased to announce its Spring 2026 Invited Lecture Series, featuring distinguished speakers from leading institutions across North America and Europe. Spring 2026 Lecture Lineup (https://lnkd.in/eCxjb5SB): February 23, 2026 | 2:00–3:00 PM (EST) Interplays between structural chirality, CISS, and pure spin current transport in chiral matters by Prof. Dali Sun (Department of Physics, North Carolina State University) March 23, 2026 | 11:00 AM–12:00 PM (EST) Advanced Functional Nanocomposite Materials and Their Applications in High-Performance Physical/Chemical Sensing by Prof. Seonghwan Kim (Mechanical & Manufacturing Engineering, University of Calgary) April 23, 2026 | 10:00–11:00 AM (EST) Numerical Simulation of Transport in Large-Area Disordered Materials by Dr. Aron Cummings (Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC & BIST, Barcelona, Spain) We warmly invite students and researchers interested in nanotechnology, spin transport, functional materials, and computational modeling to join us. Speaker(s): Dali Sun, Seonghwan Kim, Aron Cummings Agenda: Spring 2026 Lecture Lineup (https://lnkd.in/eCxjb5SB): February 23, 2026 | 2:00–3:00 PM (EST) Interplays between structural chirality, CISS, and pure spin current transport in chiral matters by Prof. Dali Sun (Department of Physics, North Carolina State University) March 23, 2026 | 11:00 AM–12:00 PM (EST) Advanced Functional Nanocomposite Materials and Their Applications in High-Performance Physical/Chemical Sensing by Prof. Seonghwan Kim (Mechanical & Manufacturing Engineering, University of Calgary) April 23, 2026 | 10:00–11:00 AM (EST) Numerical Simulation of Transport in Large-Area Disordered Materials by Dr. Aron Cummings (Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC & BIST, Barcelona, Spain) Virtual: https://events.vtools.ieee.org/m/539153

Abstract: Pharmaceutical and life-sciences organizations are increasingly exploring generative AI, yet adoption remains constrained by regulatory requirements, data complexity, and the high cost of error. This talk introduces agentic AI as a practical and trustworthy paradigm for deploying generative AI in regulated, high-stakes environments. Agentic AI leverages orchestrated systems of LLM-powered agents that can plan, reason, validate outputs, and integrate domain-specific knowledge under explicit governance and human oversight. The session will highlight real-world use cases in market access analytics, commercial decision support, and life-sciences data platforms, demonstrating how agentic workflows enable faster, explainable, and auditable insights. Attendees will gain a practical understanding of how agentic AI can responsibly transform decision-making across pharma and life sciences. Speaker(s): , Ms. Akanksha Virtual: https://events.vtools.ieee.org/m/534684