IEEE North Jersey Section

The development of next-generation computing devices based on spintronics and magnonics requires an understanding of how magnetic spin textures can be tailored in patterned magnetic materials. Within the wide range of magnetic materials available, complex oxides such as ferromagnetic (FM) La0.7Sr0.3MnO3 (LSMO) and antiferromagnetic (AF) La1-xSrxFeO3 (LSFO) provide an ideal platform for tailoring magnetic spin textures when lithographically patterned as nano/micromagnets. This unique tunability arises due to the strong interactions between charge, spin, lattice, and orbital degrees of freedom. In this talk I will demonstrate how an intricate interplay exists between shape and magnetocrystalline anisotropy energies as well as exchange coupling interactions at LSMO/LSFO interfaces, and therefore, the resulting AF and FM spin textures can be controlled using parameters such as the LSMO and LSFO layer thicknesses, micromagnet shape, and temperature. These spin textures are imaged using x-ray photoemission electron microscopy for a variety of shapes (circles, squares, triangles, and hexagons with their edges oriented along different low index crystallographic directions) with and without their core regions removed (aka donut structures). LSMO nanomagnets were also patterned into artificial spin ice (ASI) structures, where large arrays of nanomagnets are arranged into geometries where all the magnetic interactions cannot be satisfied simultaneously. While one might expect shape anisotropy to dictate Ising states in the nanomagnets, the unique combination of magnetic parameters associated with LSMO enables the formation of both Ising and complex spin textures (CSTs) based on the nanoisland width and spacing. These CSTs consist of single and double vortices and alter the nature of dipolar coupling between nanomagnets, giving rise to exotic physics in the ASI lattices. These studies demonstrate that complex oxide provide a unique platform for engineering FM and AF spin textures for next generation spin-based devices. Room: 112, Bldg: Eberhardt Hall , Newark, New Jersey, United States, 07102

On-site Registration/Breakfast 7:30 a.m. - 8:30 a.m. Workshop: 8:30 a.m. - 5:00 p.m. On-site Networking Reception: 5:30 p.m. - 7:30 p.m. Both on-site & virtual Complimentary registration is available - on-site - registration deadline 14 February 2025 - includes free breakfast, lunch, & reception! - virtual - registration deadline 14 February 2025 *** We are also doing walk-in on-site registration on the day of the event *** Please visits https://futurenetworks.ieee.org/conferences/2025-first-responder-and-tactical-networks-workshop for the IEEE.tv virtual streaming link 5G is not just the next evolution of 4G technology; it’s a paradigm shift. Not only is 5G evolutionary (providing higher bandwidth and lower latency than current-generation technology), more importantly, 5G is revolutionary—because it is expected to enable fundamentally new applications with much more stringent requirements in latency and bandwidth. 5G should help solve the last-mile problem and provide broadband access to the next billion users globally at much lower cost because of its use of new spectrum and its improvements in spectral efficiency. Today, several standards organizations and forums, namely IEEE, 3GPP, and ITU, are working on defining the architecture and standardizing various aspects of 5G technologies. However, little has been studied to explore how 5G technologies can be useful to tactical and first responder networks. It is important to investigate how tactical and first responder communities can take advantage of 5G technologies to support massive bandwidth, massive sensing, and massive control type applications. IEEE is hosting the workshop in collaboration with the JHU Applied Physics Lab. The workshop's focus is to discuss the applicability of 5G technologies for tactical and first responder networks and related opportunities and challenges. The workshop will provide a platform to bring together 5G experts from industry, academia, and the standards, regulator, and defense communities to discuss various 5G-specific use cases and requirements. The one-day event has invited speakers from DARPA, DHS, FCC, NIST, NSF, Columbia University, NYU, Intel, National Instruments, Nokia, AT&T, CERDEC, IEEE, and 3GPP. This workshop will be a catalyst to develop relevant use cases, drive standards, and investigate deployment suitable for tactical and first responder networks. Full details and the agenda can be found at: https://futurenetworks.ieee.org/conferences/2025-first-responder-and-tactical-networks-workshop For more information, please contact Ashutosh Dutta, IEEE WFRTN Chair, Johns Hopkins University. Email: ashutosh.dutta@ieee.org or Ashutosh.Dutta@jhuapl.edu Tel: 908-642-8593 Details on Sponsorship and Exhibit Opportunities can be found at: https://futurenetworks.ieee.org/images/files/IEEE-WFRTN-Sponsor-Brochure_2025_v2.pdf Co-sponsored by: IEEE Future Networks TC, Washington DC & Baltimore Sections Room: Kossiakoff Conference Center, The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland, United States, 20723, Virtual: https://events.vtools.ieee.org/m/460733

During this session, we will illustrate the most rapid and effective methodologies for validating your RF components through the application of real-world 5G and Wi-Fi scenarios. Participants can expect to streamline their testing operations with the following benefits: - **Increased Speed**: Attain quicker product verification while maintaining accuracy. - **Cost Efficiency**: Decrease testing expenses through optimized workflows. - **Automation Excellence**: Take advantage of built-in automation and standard-compliant demodulation features to enhance throughput. - **Improved Correlation**: Maintain consistency across research and development, characterization, and production setups, thereby reducing design cycles and accelerating time-to-market. Furthermore, we will examine advanced tools and insights, including integrated sequencing and fast power servoing, to foster next-level efficiency and precision in your workflows. This is an invaluable opportunity to transform your testing processes. We encourage you to reserve your place in this webinar to expedite your RF component validation. The agenda will cover: - Challenges and best practices in RF component testing - The application of integrated sequencing, fast power serving, and integrated EVM measurements for characterization - Strategies to streamline test setups for characterization and production to optimize throughput. Co-sponsored by: IEEE North Jersey Section Speaker(s): Markus Loerner, Konstantin Bick, Virtual: https://events.vtools.ieee.org/m/468093

[] Dr Chin is currently a Research Scientist at Discovery Partners Institute, part of the University of Illinois System. He is working on research in mobile social networking, IoT, responsible AI, human-centered AI, and data science. His research interests are in data science, machine learning, IoT, big data, social networking, HCI, ubiquitous computing, web and AI. Speaker(s): Dr. Alvin Chin, PhD Virtual: https://events.vtools.ieee.org/m/456323

In this webinar, we will explore advancements in machine learning (ML)-based channel state information (CSI) feedback enhancement, which serves as a critical pilot use case in 3GPP Releases 18 and 19. Our focus will be on defining an AI/ML framework for 5G Advanced. We will examine AI-driven techniques for compressing and predicting CSI, highlighting their impact on improving spectral efficiency and reducing feedback overhead. Participants will gain a comprehensive understanding of how ML is transforming the air interface and laying the groundwork for future 6G networks. The following topics will be discussed: - AI/ML-assisted air interface pilot use cases in 3GPP Releases 18 and 19, with an emphasis on CSI feedback enhancement. - The fundamentals of CSI reference signal (CSI-RS) configuration and parameterization in 5G NR, and how it integrates into ML-advanced feedback frameworks. - The advantages of ML-based CSI feedback in addressing challenges within dense and dynamic network environments. - The role of testing and measurement instruments in validating the functionality of ML-based CSI feedback enhancement and assessing its performance. Co-sponsored by: IEEE North Jersey Section Speaker(s): Andreas Roessler , Francesco Rossetto, Virtual: https://events.vtools.ieee.org/m/468080

SEMINAR OUTLINE: • Fundamentals of dry type transformers • Using transformers for current limitation • Live demonstration of Power Quality solution • Linear vs. non-linear loads • Harmonics • VFD operation • Single phase harmonic solutions • Three phase harmonic solutions • VFD load side filtering • Emerging markets and applications Hammond Power Solutions c/o the IEEE is proud to offer the informative presentation and live demonstration of power quality solutions for variable frequency drives (VFDs). VFDs provide fine motor control and energy savings but they also produce harmonic content on the system. High harmonic content can lead to issues such as: equipment overheating, communication issues, nuisance OCPD trips and possible utility fines. We will present the various transformer filtering technologies and demonstrate how they work. In addition, participants will learn more about dry type transformer ratings, such as K factor, temperature degree rise, etc. for the proper development of engineer’s specifications, as well as transformer applications in commercial/industrial/datacenter projects. Speaker(s): Dave, Chris, Dr. Razak Agenda: PLEASE NOTE THE CHANGE IN TIME FOR THIS PARTICULAR SEMINAR. WE WILL BEGIN AT 8AM AND WRAP UP BY NOON. The seminar fee includes lunch, refreshments and handouts. Non-members joining IEEE within 30 days of the seminar will be rebated 50% of the IEEE registration charge. Four hours of instruction will be provided. If desired, IEEE Continuing Education Units (0.4 CEUs) will be offered for this course - a small fee of $55 will be required for processing. Please pay attention to the “Registration Fee” and choose the appropriate choice either with or without CEUs. CEU Evaluation Form can be found at: (https://innovationatwork.ieee.org/ieee-pes-northjersey-certificates/) Room: Auditorium, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

Special Presentation by Dr. Mahdi Boloursaz Mashhadi (U. of Surrey, UK) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, 20 February 2025 @ 12:00 UTC Topic: Goal-Oriented Generative Semantic Communications with Multimodal LLMs Abstract: The integration of Generative Artificial Intelligence (GenAI) models with wireless networks provides ample opportunities to develop innovative technologies with transformative potential. One such technologies is Generative Semantic Communications (Gen SemCom), which leverages the capabilities of state-of-the-art GenAI models to develop ultra-low bitrate semantic communication systems aiming to transmit only the semantic message of interest with high fidelity. GenAI models such as Diffusion, Flow-based, and GAN models, can learn the general distribution of natural signals through training and generate new samples at the inference time. This generative process can be guided or conditioned to synthesize outputs with a desired semantic content. In Gen SemCom, the semantics of interest are extracted at the transmitter, communicated over the channel, and then used at the receiver to guide a generative model to locally synthesize a semantically consistent signal. The emerging generative foundation AI models and Multi-modal Large Language Models (MLLMs) can be leveraged in the SemCom framework to convey the most important semantics of the source signal to the receiver through textual prompts in a super compact form. These models possess a vast general knowledge through intensive pre-training on huge amount of data. This alleviates the need for a shared knowledge base/graph between the semantic transmitter and receiver, obviating the need for corresponding knowledge sharing overheads imposed in current SemCom frameworks. Despite the above benefits, deployment of such large models in the SemCom framework is challenging due to their high computational complexity, energy consumption, and latency. This talk focuses on novel generative approaches to semantic communications, the fundamental bounds on Gen SemCom, and its emerging applications in wireless networks. It investigates the challenges and opportunities of deploying Gen SemCom at various layers in future wireless networks and provides the corresponding future research directions. Speaker: [] Dr. Mahdi Boloursaz Mashhadi (Senior Member, IEEE) is a Lecturer at the 5G/6G Innovation Centre (5G/6GIC) at the Institute for Communication Systems (ICS), University of Surrey (UoS), and a Surrey AI fellow. His research is focused at the intersection of AI/ML with wireless communication, learning and communication co-design, generative AI for telecommunications, and collaborative machine learning. He received B.S., M.S., and Ph.D. degrees in mobile telecommunications from the Sharif University of Technology (SUT), Tehran, Iran. He has more than 40 peer reviewed publications and patents in the areas of wireless communications, machine learning, and signal processing. He is a PI/Co-PI for various government and industry funded projects including the UKTIN/DSIT 12M£ national project TUDOR. He received the Best Paper Award from the IEEE EWDTS conference, and the Exemplary Reviewer Award from the IEEE ComSoc in 2021 and 2022. He served as a panel judge for the International Telecommunication Union (ITU) on the “AI/ML in 5G” challenge 2021- 2022. He is an editor for the Springer Nature Wireless Personal Communications Journal. Co-sponsored by: Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/463737

The Internet of Vehicles (IoV) is a network that connects vehicles, infrastructure, and devices to enable seamless communication and data sharing. Vehicular VLC communication is fast emerging due to the widespread deployment of LED lights. Aerial terrestrial networks (ATNs) with the widespread deployment of unmanned aerial vehicles (UAVs) will also play a vital role in the IoV. Free-space optical (FSO) communication links can be effectively deployed between aerial bodies and vehicles. However, outdoor FSO and VLC links suffer from pointing error, fast varying channel conditions, sunlight and atmospheric impairments. This talk will cover various research topics in this area. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Xavier Fernando Agenda: Registration for the event and refreshments/dinner are complimentary. Venue: Fairleigh Dickinson University 1000 River Road, Building: Muscarelle Center, Room Number: 105 Teaneck, New Jersey, United States 07666 Virtual: https://events.vtools.ieee.org/m/467003