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

The Innovation Sprint for Women Engineers is a month long hackathon designed to inspire, mentor, and empower women in technology to develop creative, feasible, and socially impactful solutions addressing the United Nations Sustainable Development Goals (SDGs) through the synergy of Artificial Intelligence (AI) and Nanotechnology. The sprint will cultivate innovation, cross-disciplinary collaboration, and leadership among women engineers and students. Objectives - To promote innovation and sustainability awareness among women engineers. - To foster collaboration between AI and nanotech domains for practical SDG-aligned solutions. - To encourage women’s participation in STEM innovation through mentorship and networking. - To identify promising ideas for potential IEEE WIE publications, grants, or incubator follow-ups. Theme AI + Nanotech = Sustainable Futures Participants will ideate solutions under sub-themes such as: - Clean Water & Energy (SDG 6 & 7) - Health and Biosensing (SDG 3) - Sustainable Cities & Environments (SDG 11 & 13) - Circular Economy and Waste Reduction Expected Outcomes - Innovation recognition: Top projects highlighted on IEEE Nanotechnology platforms. - Community engagement: Strengthened cross-disciplinary collaboration. - Talent pipeline: Encouraging women’s visibility in STEM innovation. - Sustainability impact: Solutions aligned with real-world SDG metrics. Recognition & Certificates - Top 3 Winners will receive special IEEE Nanotechnology x Young Professionals Innovation Sprint Acknowledgemen and Certifcates Co-sponsored by: North Jersey Nano Technology Council Virtual: https://events.vtools.ieee.org/m/541140

AI and machine learning, deep learning in particular, have made significant progress recently, revolutionizing the medical computing practice. In the past decades, I have been collaborating closely with medical experts in the NYC region, such as Mt. Sinai Hospital, Memorial Sloan-Kettering Institute, Columbia Univ. medical school, Yale Univ. Medical School, and Johns Hopkins Univ., on a broad array of AI-enabled medical computing projects. In this talk, I will introduce my recent work on the use of AI in cancer treatment and remote simultaneous medical interpretations. First, a broad array of different medical modalities has to be effectively employed to effect better medical data analysis, whereof enabling computer graphics, signal processing, and computer vision techniques must be called in. We developed a unified GUI-based system to put multimodal medical together for better cancer treatment planning purposes. In a second project, by using robust curve fitting and space/time local and global analysis, we devised an effective human lung respiratory movement tracking algorithm with outstanding performance, so that the radiation therapy can be more effective. Next, a mixture of experts, each of which is a CNN-based UNet algorithm, is introduced to effectively single out the cancer region. Our ongoing smart and cheap non-invasive bio-sign sensing devices and algorithms are next introduced to ensure more precise and non-invasive sensing can be achieved for more patients. Finally, the Large Language Models (LLMs) are exploited to achieve remote simultaneous medical interpretation, riding on the immense power of recent progress in LLMs. From these concrete projects, it can be seen that mathematical/statistical modeling, data structure and algorithm pipeline development, creative use of multimodal computing, and various AI/ML algorithms can be incorporated to achieve improved healthcare. Effective use of AI/ML, including current LLM and various foundation models, has a bright future in medical computing. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Jie Wei, Agenda: IEEE North Jersey Section Computer Chapter and Signal Processing Chapter Seminar Title: AI in Medical Computing: Cancer Treatment and Remote Simultaneous Medical Interpretations Speaker: Prof. Jie Wei, Department of Computer Science, CCNY Time: 12:30pm-1:30pm Fairleigh Dickinson University 1000 River Road, Building: Becton Hall, Room Number: 205 Teaneck, New Jersey, United States 07666 For additional information about the venue and parking, please contact Dr. Hong Zhao [email protected] Bldg: Becton Hall 205, 1000 River Road, Teaneck, New Jersey, United States, 07666

You are cordially invited to attend the March 2026 executive committee (ExCom) meeting at Montclair State University or on Zoom. This is the Zoom link: https://us06web.zoom.us/j/84640545722 The meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the section's activities and new initiatives. Everyone is welcome to attend this meeting. The takes place at Montclair State University, Susan Cole Hall, COLE 340, Montclair, NJ. Parking is at red hawk deck. Please register in advance, before Monday March 2nd, 5:00 PM, for this meeting using vTools. You can change/cancel the registration if your plans change. Room: COLE 340, Bldg: Susan Cole Hall, Montclair State University, Montclair, New Jersey, United States, Virtual: https://events.vtools.ieee.org/m/540719