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

Since the late 1990s, metamaterials have sparked significant theoretical research, fundamentally transforming our understanding of electromagnetic (EM) theory. The promise of metamaterials has fueled anticipation of breakthroughs, especially in antenna technology. However, translating these novel physical concepts into practical technologies and real-world applications has proven challenging, primarily due to the stringent and unique requirements of antennas in different applications. Since 2010, our group has focused on the translational research of metamaterials, combining deep conceptual understanding with expertise in antenna engineering. We have successfully addressed key engineering challenges—including bandwidth, efficiency, and fabrication—that have historically constrained the practical adoption of metamaterial-based antennas. Our efforts have led to the development and commercialization of advanced antenna technologies based on metamaterials, including metasurfaces and metalines, across a range of applications such as RFID, WLAN, radar, cellular base stations, small cells, and satellite communications. What was once the “hype” of metamaterials has now become a reality—metantennas. In our research and development, we have employed various mathematical tools such as Characteristic Modes Analysis (CMA), Transformation Optics (TO), Time Reverse (TR), and other optimization algorithms. Notably, we have recently achieved promising results in prior-knowledge-guided, deep learning-enabled generative synthesis for metasurfaces and metamaterials, paving the way for next-generation metantenna design. In this talk, I will share recent advancements in metantenna technology and offer insights into the future directions of metamaterial research. Co-sponsored by: IEEE North Jersey Section Speaker(s): Dr. Zhi Ning Chen Agenda: 5:30 PM - Meet and Greet and complimentary refreshment/dinner 5: 45 PM- Introducing the speaker 6:00 PM -7:30 PM-DL Talk, followed by Q/A and discussion Room: 202, Bldg: ECE Building, 141 Warren St, New Jersey Institute of Technology, The Lewis and Julia P. Kleman Conference Room, Newark, New Jersey, United States, 07102