IEEE North Jersey Section

[] Dr. Baek-Young Choi is an internationally leading scholar in the Internet of Things, 5G and beyond, cloud computing, and cybersecurity. Dr. Choi's innovative research has led to numerous Best Paper, Best Poster, and Best Video awards, as well as recognition as conferences’ keynote speaker, Distinguished Lecturer, and Associate Editor-in-Chief of the flagship magazine of the IEEE Society. She has served in many international leadership roles in her technical society, including Chair of IEEE Women in Communications Engineering, Chair of Sister societies, and a technical oversight committee of flagship conferences in IEEE, general chair, and technical program committee chair for multiple international conferences and workshops. Speaker(s): Baek-Young Choi, PhD Virtual: https://events.vtools.ieee.org/m/456310

[] Mr Eamon J Wall, Esq began his career as an Engineer and enjoyed the field so much, he decided to make important contributions by becoming a Patent Attorney, helping many individuals and companies to create significant value with technology innovations. Mr Wall is dedicated to advancing technology for humanity, serving the community in many important projects and programs. Speaker(s): Eamon J Wall, Esq Virtual: https://events.vtools.ieee.org/m/456313

Dear all, You are cordially invited to attend the February ExCom meeting at Fairleigh Dickinson University or on Zoom. Looking forward to seeing you all. Best Regards Emad Room: room 105, Bldg: Muscarelle Center, Fairleigh Dickinson University, 1000 River Road, Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/462833

The benefits of using AI are extolled everywhere we look, but the proliferation of tools makes it hard to figure out what is useful and what to avoid. This panel discussion will target professionals and emerging users, including students, aiming to share experiences and ideas on AI adoption. The panel consists of four expert speakers. Each speaker will give an overview of themselves and discuss their own experiences using AI in their careers, giving insight into how AI is being used in industry and education today. There will be plenty of time for questions from the audience. All are welcome. You must register below; you do not have to be an IEEE member to attend. Speaker(s): Amber Hoak, Louvere Walker-Hannon, Lauren Jessop, Peter Shea Virtual: https://events.vtools.ieee.org/m/461143

Dr Rui Li of will take a deep dive into the Multimodal Interaction and Affective Computing Lab (MIAC Lab) at Montclair State with a focus on Multimodal Human-Machine Interaction. This exciting work involves multimodal information processing, immersive interaction, intelligent systems for vehicles and robots. Her passion is for the interdisciplinary study of human emotion, behavior, and cognition to bring about excellent human-machine interaction and intelligent machines. Speaker(s): Dr. Rui Li PhD Virtual: https://events.vtools.ieee.org/m/456316

This talk will feature two families of machine learning, the diffusion network and the transformer. First, the two basic methodologies will be introduced from first principles. Second, two developments from the Virginia Image and Video Analysis laboratory will be described. A diffusion method for multiplicative noise will be outlined. And a special-purpose transformer for recognizing human activity from videos will be explained. The talk will conclude with recommendations regarding research in artificial intelligence. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Scott Acton 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 For additional information about the venue and parking, please contact Dr. Hong Zhao [email protected] Virtual: https://events.vtools.ieee.org/m/462787

Robotics Seminar: Foster progress and sustainability in multiple sectors via robotics February 12th, 2025 | CELS 120 | 2:00 PM – 3:30 PM Speaker: Christelle Keefer ABB Inc. Robotics Education Director [] Room: 120, Bldg: CELS, 1 Normal Ave, Montclair, New Jersey, United States, 07043

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: [email protected] or [email protected] 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

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

Join the Celebration. Networking. Careers in Technology Special Event. Agenda: 12pm - 1pm Distinguished Panel 1pm Networking and Refreshments AT&T Labs, 200 S Laurel Ave, Middletown, New Jersey, United States, 07748

[] Dr Kootsookos, IEEE Connecticut Section Chair. Dr Kootsookos will describe his career preparation. He will conduct a deep dive of his field as an expert in patent arbitration providing source code reviews. He is a teacher of telecommunications, signal & image processing, circuit analysis, digital hardware, and various software engineering courses at the University of New Haven, Fairfield University, Central Connecticut State University, and CT State Community College, Middlesex in the US and the Australian National University and University of Queensland in Australia. He is a Researcher: Signal processing research: more than 40 papers in conferences and international journals in signal, video, and image processing; Full life-cycle systems engineering: requirements, analysis, design, verification, validation, delivery; Quality processes worked with: IS09001-2000, CMMI, ACE (UTC’s Achieving Competitive Excellence). Note: PDH / CEU is not being offered for the Spring 2025 sessions. Speaker(s): Dr. Peter James Kootsookos, PhD Virtual: https://events.vtools.ieee.org/m/456326

IEEE Region-1 Women in Engineering Affinity Group officers and volunteers - a Virtual meeting to share updates about the activities, information about upcoming events, opportunities, and discussions. Co-sponsored by: IEEE Region-1 WIE Agenda: A brief discussion about past events and upcoming events by R1 WIE Co-Ordinator Dr. Anisha Apte A brief discussion about the IEEE WIE ILC Denise Griffin A brief discussion about the upcoming Face-to-Face WIE/YP/SAC/LM meeting in Panama City 2025 WIE Day will be celebrated from 23 June - 7 July 2025: Theme: "Pioneering Safe Cyberspace: Women Bridging Technology and Light for Security." (https://connect.ieee.org/NzU2LUdQSC04OTkAAAGYKb79MI6RuVacITF-CvpxuvFQMEZFfS77xWtP1T7YB_p2JUYVaAx-Esayh_eJbWD6eppG1Ww=) (https://connect.ieee.org/NzU2LUdQSC04OTkAAAGYKb79MN_TwnURqtDUGidhAgbjdYkPAgaTcB2hWZo6BQlueCa5Mbdm3Vwwe4UbHlQ2ScTJF6I=)to the IEEE Women in Engineering Magazine! NOTE: Send in your reports, best practices, and highlights of your AGs by February 28th. Discuss past and upcoming events, addressing queries of the officers attending the meeting. Virtual: https://events.vtools.ieee.org/m/469788

Metamaterials (MTMs) are synthetic electromagnetic materials with unique properties not found in natural materials. Their introduction has led to the development of innovative circuits with enhanced components. One notable design based on metamaterials is the composite right/left-handed transmission line (CRLH-TL) leaky-wave antennas (LWAs). These antennas provide continuous beam scanning that varies with frequency, allowing for adjustments from backfire to endfire, including a true broadside beam. The CRLH LWAs excel in impedance matching across their operational range and utilize a simple feeding mechanism. Their ability to map frequency to spatial locations enables the precise identification of unknown target positions by analyzing the spectral components of the returning wave. This capability facilitates real-time detection, with data acquisition speeds primarily influenced by the frequency sweep rate of the signal source. Moreover, the wide scanning angle of CRLH LWAs expands the sensor's field of view. These features enable a variety of applications, including rapid 2-D beamforming, real-time remote sensing, vital sign monitoring, motion detection, and microwave imaging. Additionally, incorporating spatiotemporal modulation into CRLH LWAs can generate harmonic waves and improve physical layer security, thereby enhancing the safety of wireless communication. Everyone is welcome to attend the talk; admission is free. Complimentary refreshments will be provided. Co-sponsored by: IEEE North Jersey Section and Princeon Section Speaker(s): Chung-Tse Michael Wu Room: 240, Bldg: EE Building EE-240, 94, Brett Road, Rutgers University, Piscataway, New Jersey, United States, 08854

Graduates, PhD Students, and Young Professionals in New Jersey and New York join us for a social networking event at The Brewsology Beer Fest in Jersey City on 1st March. NOTE: We will be registering as a group so that the $8.44 fee can be waved on the ticket processing fee, but need to pay by 12 Feb. After 12 Feb, is you are attending you need to pay directly through the website instead of through Venmo to Craig If you miss the deadline, feel free to register on the website directly and join us at the Beer Fest Must be 21 years old to attend this event. More info: https://www.brewsology.com/jerseycity 222 Jersey City Blvd, Jersey City, New Jersey, United States, NJ 07305